International Institute of
"E-Health": An E-commerce to Manage the Supply Chain of a Medicine
Cilli, Claudio; Magnanini, Giulio; Venettoni, Fabrizio; Silipigni, Marco; Manduca, Lorenzo; Atalla, Cirillo; Cozzolino, Michael; Mishra, Mukteshwar (Italy)
https://doi.org/10.54808/WMSCI2023.01.157
ABSTRACT:
The online buying and selling of medicines are regulated by different law articles based on the country where the medicines are sold. The main issue with this law is that not all types of medicines are authorized to be sold and that not all standard e-commerce websites are able to sell them unless they have a special authorization released by the competent regional authority. These limitations have a huge impact on the medicines themselves, overall, in this current period where the Covid-19 pandemic has affected the whole world. In fact, with the possibility of multiple lockdowns, it became very difficult to buy medicines, but also to buy all the medical devices such as protective masks to defend against it. In this work we attempt to create an e-commerce based on medical products, to try to solve these limitations imposed first by the state, and subsequently, by the pandemic. A main standard system connecting customers, pharmacists, pharmaceutical companies and the National Health system is built in order to allow the buying and selling of medicines between them, and a decentralized blockchain protocol is used in order to allow customers to buy those medicines that needs a prescription online, and that normally wouldn’t have been able to be sold in the world.
A Brief Survey on the Internet of Things (IoT) Security
Al Hanif, Abdulelah; Ilyas, Mohammad (United States)
https://doi.org/10.54808/WMSCI2023.01.75
ABSTRACT:
The Internet of Things (IoT) is considered one of the world’s fastest-growing technologies, and it has a tremendous impact on people’s lives in many different ways. With notable improvements in the evolution and expansion of technologies, the IoT faces numerous security threats and challenges. IoT technology uses various devices and protocols, making it difficult to apply adequate security control across the whole system and vulnerable to multiple attacks. Using essential technologies such as ML helps in addressing the recent security challenges and attacks on the IoT ecosystem. This paper presents an overview of IoT security. Also, it highlights types of IoT architecture security and explores the various kinds of attacks under each IoT architectural layer. Moreover, this paper discusses the uses of Machine Learning (ML) as a solution in IoT systems.
A Conceptual Framework for Integration of the Concept of Sustainable Development in Bulgarian Enterprises
Koleva, Nataliya; Angelova, Yordanka; Dimova, Daniela (Bulgaria)
https://doi.org/10.54808/WMSCI2023.01.383
ABSTRACT:
The concept of sustainable development has attracted considerable attention in scientific and business circles, becoming a crucial aspect of economic, industrial, and societal growth. To successfully adopt sustainable practices, industrial enterprises must go through a profound reassessment of their operations and engage in various activities aligned with sustainable development goals. This paper aims to present a comprehensive conceptual framework tailored to Bulgarian industrial enterprises, facilitating the seamless integration of sustainable development principles into their core strategies. By adopting the principles of sustainable development, enterprises can not only gain a competitive advantage in the market but also promote a positive reputation and increased public prestige.
This study examines the specific requirements and challenges faced by Bulgarian industrial enterprises during their journey towards sustainable transformation. Through an extensive literature review, case studies and expert insights, this paper highlights the importance of integrating sustainable development in Bulgarian industrial enterprises. It emphasizes the need for joint efforts by all stakeholders to ensure the successful implementation of sustainable practices and to create a harmonious balance between economic progress, environmental protection, and social inclusion.
Ultimately, this conceptual framework can serve as a theoretical foundation that offers practical recommendations and actionable steps for effective adoption of sustainable development. By adopting the proposed strategies, industrial enterprises can transition to a more sustainable and responsible business model, contributing to the overall well-being of society and the protection of the planet for future generations.
A New Digital Culture in Architecture and Engineering Design Classes with Technological Advances
Vidigal, Mozart Joaquim Magalhães; Baracho, Renata Maria Abrantes; Porto, Marcelo Franco (Brazil)
https://doi.org/10.54808/WMSCI2023.01.334
ABSTRACT:
This work deals with the approach of information and communication technologies in the classroom activities of the disciplines of architectural projects to propose improvements in the formation of architects and in the teaching models practiced in schools of Architecture and Engineering of Belo Horizonte, Minas Gerais, Brazil. The objective of this work is to discuss the use of technology through the design course. The position of Professors in the adoption of these technologies was analyzed. The work presents an analysis of pedagogical practices to reflect on possible advances, disharmonies and conflicts with the use of technologies in design development. This discussion can contribute to stimulating the qualification of Professors and future professionals. The findings indicate that new pedagogical practices with the use of technology can be gradually adopted. So Professors and students can better interact and develop the teaching/learning relationship with the updated models of teaching architectural projects.
A Post-Processing Framework for Crowd Worker Responses Using Large Language Models
Itano, Ryuya; Tamano, Tatsuki; Koita, Takahiro; Tanitsu, Honoka (Japan)
https://doi.org/10.54808/WMSCI2023.01.15
ABSTRACT:
To develop reliable crowdsourcing systems, aggregating worker responses is one critical issue. Constructing an automatic mechanism that flexibly aggregates worker responses in natural language has been difficult. Therefore, worker responses needed to be collected in a standardized format, such as binary-choice or multiple categorizations, to avoid large aggregation costs. Recently, with the advent of large language models (LLMs), such as ChatGPT, natural language responses can be automatically and flexibly aggregated. We propose a framework that uses LLMs to flexibly aggregate natural language responses from workers and consider this platform for crime detection from surveillance cameras to be an application example. In the implementation, our proposed framework is sufficiently effective to automatically aggregate natural language responses from workers.
A Screen as a Mirror of Consumer and Its Consumerism: Does Modern Consumer Consumes Itself?
Jankovska, Ilze; Gaile-Sarkane, Elīna (Latvia)
https://doi.org/10.54808/WMSCI2023.01.224
ABSTRACT:
This paper will explore and prove a new concept of consumer identification. To expand the perspective on the modern consumer and make it describable, the potential provided by the digital age, i.e., the possibility of self-definition, must be taken into account. The forms of consumer identification that have been used so far are outdated, because in a virtual world consumers can choose who they want to be.
As more real-life shifts to the virtual, a new concept of consumer identification is emerging – “You consume yourself”.
In this concept, consumers become the product or service by looking at themselves on a screen. The consumer generates an offer from self to others and also consumes self by looking at self on the screen – “you are a showcase for others and you are a showcase for yourself” [14].
The aim of this paper is to substantiate the identified self-definition concept of consumers “You are consuming yourself”. Accordingly, the research question is: does the modern consumer consume him/herself and how does this influence decision-making in the changing environment of today?
A Systematic Literature Review of Interoperability in Healthcare Using FHIR
Gottumukkala, Madhu (United States)
https://doi.org/10.54808/WMSCI2023.01.9
ABSTRACT:
Despite the available modern technologies, we live in a “fragmented” healthcare system, in which data is stored in multiple sources and a variety of formats and standards without direct communication. However, in the upcoming years, interoperability is emerging, defined as the ability of different information systems, devices, or applications to connect within and across organizational boundaries to access, exchange, and cooperatively use data amongst physicians and patients. We conducted our study using two databases, PubMed and Web of Science, to explore Fast Healthcare Interoperability Resources (FHIR) standard and how we can use FHIR technology to improve interoperability and exchange data between different hospital services. We also expect to find purposes for further research.
Advancing Entrepreneurship Education: An Integrated Approach to Empowering Future Innovators (Invited Paper)
Oberer, Birgit; Erkollar, Alptekin (Austria)
https://doi.org/10.54808/WMSCI2023.01.487
ABSTRACT:
Entrepreneurship plays a central role in driving economic growth and fostering innovation worldwide. As the business landscape becomes increasingly dynamic and competitive, the need for effective entrepreneurship education has never been more critical. This paper presents an integrated framework for entrepreneurship education that addresses the limitations of traditional approaches and aims to equip aspiring entrepreneurs with the necessary mindset, skills, and ecosystem engagement to thrive in the ever-evolving entrepreneurial landscape. The framework focuses on mindset development, skills acquisition, and ecosystem engagement as essential pillars for empowering and nurturing future innovators, contributing to the advancement of entrepreneurship education and the cultivation of a new generation of successful entrepreneurs and innovators.
An Order Splitting Optimization Model for Quantity-Based Flat Rate Delivery
Lin, Ka Yuk Carrie (China)
https://doi.org/10.54808/WMSCI2023.01.368
ABSTRACT:
This paper studies a type of order splitting problem with delivery charge based on the total number of units placed in an order. When the total number of units falls into a particular quantity range, an associated flat rate is charged. Free delivery option is also considered with respect to the total purchase value or quantity. The goal is to determine the order quantities of multiple items and the optimal split of orders to maximize the total utility of items purchased, subject to budget and demand constraints. As not much research work can be found on this customer ordering problem, this paper contributes to developing an integer linear programming model which can be solved optimally and efficiently by spreadsheet solver.
Ant Colony Optimization Adapted to Network Intrusion Detection
Fries, Terrence P. (United States)
https://doi.org/10.54808/WMSCI2023.01.417
ABSTRACT:
The proliferation of computer networks, in combination with the interconnection of networks via the Internet, has significantly increased their vulnerability to attack by malicious intruders. The wide variety of attack modes has exacerbated the problem in detecting attacks. Current intrusion detection systems (IDS) are frequently unable to detect previously unknown or mutated attack modes or are unable to operate in a dynamic environment such as mobile networks. It has become imperative to devise new methods for network intrusion detection. IDS that use classification techniques to identify malicious packets are common, however, they are unable to detect polymorphic or novel attack modes. Classification-based IDS are commonly used, but have the pitfall that they are often unable to adapt to dynamic environments or to identify previously unknown attack modes. This paper presents a novel approach to classification of network packets using any colony clustering to identify normal and abnormal TCP packets. The method provides superior performance in comparison to traditional classification approaches. The resulting system is able to adapt to dynamic network conditions and identify morphing and unknown attack modes. Tests show a very high success rate in identifying attacks with minimal false positives.
Application of an Improved Genetic Algorithm Multicriteria Satisfaction Analysis with Use of Matlab Code: A Case Study of MOODLE
Avgerinos, Evgenios; Manikaros, Nikolaos; Vlachou, Roza (Greece)
https://doi.org/10.54808/WMSCI2023.01.129
ABSTRACT:
This paper presents an evaluation of user satisfaction with the MOODLE platform using the Genetic Algorithm Multicriteria Satisfaction Analysis (GA-MUSA) method, and compares the results to the conventional MUSA method. A questionnaire was developed and administered to 100 participants (students and professors), and the data was analyzed using both methods. The results showed that the GA-MUSA method produced a higher overall satisfaction level compared to the Conventional MUSA method. The study also conducted a correlation analysis to determine the relationship between demographic variables and satisfaction levels. The findings suggest that MOODLE experience is the most important demographic variable related to satisfaction levels. The present study contributes to the existing literature by providing valuable insights into the use of GA-MUSA method to evaluate user satisfaction with educative software.
Application of the Arduino Computer Platform as a Multimeter in Education
Jelovica, Lejla; Erceg, Nataša; Bilušić, Ante (Croatia)
https://doi.org/10.54808/WMSCI2023.01.422
ABSTRACT:
The development of new technologies offers numerous opportunities for the use of electronic devices in education, where there is a wide range of advanced computer tools that offer great potential for enriching the learning process and developing students' skills. For example, the Arduino computing platform allows students to learn physics interactively by participating in the design and construction of innovative measurement devices and experimental setups. In this paper, we have demonstrated the possibility of introducing modern technologies into the classroom laboratory. By combining familiar Arduino codes, we programmed an Arduino board as a multimeter to measure the electrical properties of various diodes, resistors, and capacitors, such as the threshold voltage and diode current in both polarization modes, and to determine the capacitance of capacitors and the unknown value of the electrical resistance of various types of resistors with high accuracy (99%). We also tested different capacitors and semiconductor diodes to determine their functionality. In this way, students can achieve learning outcomes related to the electrical conductivity of conductors and semiconductors as fundamental electronic concepts through the use of modern technology. Unlike traditional experiments, this approach can be tailored to different educational levels: secondary, undergraduate, or graduate.
Basic Research on the Development of an Automatic Heart Sound Diagnosis System - Adding Another Lesion Data in AI Learning -
Hishida, Hirotoshi; Muroya, Yuhiro; Tojo, Hayato; Koide, Tomomi (Japan)
https://doi.org/10.54808/WMSCI2023.01.32
ABSTRACT:
The authors are trying to build a system that allows ordinary people to auscultate their own heart sounds with a stethoscope and have AI listen to and diagnose them. With it, you can live a meaningful and enjoyable life without unnecessary hospital visits and fears. You may be able to respond to the danger of life that you didn't notice.
The system is currently being trained on various patterns of normal heart sounds. If AI learning is similar to human learning, what is taught first will influence subsequent learning. It may be important to understand the normal heart sounds first, as lesion information is carried on other sounds mixed with sounds other than sounds I and II, and on abnormal sounds I and II.
There are few normal heart sound data. A reference image is obtained by converting standard normal heart sound data into a spectrogram of image data. Based on that, in total 23,532,201 of additional data is created that is finely varied according to various factors, such as beat speed, pitch, beat, and intensity of sounds I and II. Furthermore, normal abnormal sounds with different timbres, those in which sound II is split, etc. will be added.
Basic Research on the Development of an Automatic Heart Sound Diagnosis System - Analysis of Heart Sounds for Learning Policy and Experiment for Prototype of Auscultation Part -
Hishida, Hirotoshi; Tokuuye, Koichi; Hishida, Keiko; Tojo, Hayato; Hishida, Yasuhiro; Koide, Tomomi (Japan)
https://doi.org/10.54808/WMSCI2023.01.24
ABSTRACT:
A design policy is established for the specific data flow and learning method for the automatic heart sound diagnosis system under development. The production of each part becomes possible, and the production of the auscultation part and the learning part begin. This can be used over clothes as long as it is applied well to the skin surface of the chest. It would be nice to be able to set multiple auscultation positions, but there is a limit to what can be asked ordinary people to do, so it should be considered while having the AI learn.
Analyze normal heart sounds to explore learning strategies. Sounds I and II are thought to be important anchor information sources for identifying other heart sounds. Abnormal heart sounds may not be heard at every beat, and the rhythm may be abnormal. AI should refer to multiple beats of heart sounds in auscultation. Heartbeat analysis is a multi-dimensional information analysis related to time and space, and the heart sounds are factored if normal heart sounds and abnormal heart sounds can be organized on the score. As for pitches, which tend to depend on individuals and devices, a relative discussion would be more appropriate.
Challenges Facing Islamic Banking: The Case of Asian Region
Mehmood, Khalid; Oganisjana, Karine; Lace, Natalja (Latvia)
https://doi.org/10.54808/WMSCI2023.01.391
ABSTRACT:
This study examines the significant challenges encountered by Islamic banks in Asia. The research employs a qualitative content analysis as its methodology. Qualitative data were collected from scientific literature authored by Muslim and non-Muslim writers. The study identified several challenges. However, the crucial obstacles that Islamic banks face include a lack of awareness and insufficient staff training, the absence of a separate Islamic legal system, government and central bank support, and a shortage of qualified Shariah experts, hindering Islamic banks’ development and growth. In addition to these crucial challenges, the study acknowledges that other factors also impact the establishment and expansion of Islamic banking in the region. By identifying and understanding these challenges, stakeholders in the Islamic banking sector can work towards implementing effective strategies and policies to address these issues. Overcoming these obstacles is essential for the sustainable development and growth of Islamic banking in Asia.
Classification of Business Incubators
Briede, Liene; Gaile-Sarkane, Elīna (Latvia)
https://doi.org/10.54808/WMSCI2023.01.210
ABSTRACT:
In the world of monopolization and globalization of the market, the role of small businesses and their innovation potential in bringing new solutions to the market faster, cheaper, and with more added value is becoming increasingly important. It is exactly the promotion of innovation that has become the cornerstone of economic transformation. Given the high barrier to entry, the role of different forms of business support has increased significantly. These changes and rapid growth have influenced the development of business incubation, which has led to the development of various support mechanisms, such as co-working spaces, accelerators, early-stage investment funds, etc.
In response to the market demand, there has been exponential growth in the number of business incubators with the aim of exponentially increasing their value and impact on the economy, while the value of business incubators is exponentially decreasing due to uncertain evaluation of their impact. In this regard, it is essential to classify business incubators reflecting on their different operating models, purpose and performance metrics, and their potential impact on the economy or other systems.
Combining Characteristic Information and Part-of-Speech Information in the Classification of a Product Review's Helpfulness
Tanawongsuwan, Patrawadee (Thailand)
https://doi.org/10.54808/WMSCI2023.01.460
ABSTRACT:
Online shopping has become popular in recent years. In order for shoppers to decide on a product, one often goes for product reviews, written by other customers. Product reviews by customers are considered by some as more genuine and reliable. However, some products have received a large number of reviews, while only a few are usually adequate for a purchase decision. In order to assist potential buyers in selecting only helpful reviews, our study aims to classify a product review as being helpful or unhelpful. It utilizes a review's part-of-speech (POS) information, as well as characteristic information. While the former can be obtained by analyzing the review's content, the latter is mostly comprehensible by a quick glance at the review, such as star rating, reviewer's name and profile, length of the review's text. The study combines attributes supplied by both types of information and uses them as input to six different classification algorithms. The results show that the combined attribute set improves the classification performance. The improvement agrees for all the six algorithms. The study also compares algorithms by some performance numbers and reports some of the top performers. Moreover, it looks inside some of the models in order to identify some of the most influential attributes.
Connecting Minds: Transdisciplinary Communications in the Development and Operation of Mental Health Chatbots
Frolova, Daria; Bernikova, Olga (Russian Federation)
https://doi.org/10.54808/WMSCI2023.01.114
ABSTRACT:
In recent years, the development of Artificial Intelligence technologies and chatbots has revolutionized various industries, including psychology. Mental health chatbots have become a promising tool for providing support, guidance, and counseling to people struggling with mental health issues. Mental health chatbots are artificial intelligence programs that simulate a dialogue with a person and are configured to instantly answer the user's question. The advantages of chatbots in relation to traditional psychological therapy are their availability, low cost, anonymity, etc.
This study regards the concept of transdisciplinary communications through the prism of mental health chatbots. Transdisciplinary communication involves sharing knowledge and skills across and beyond disciplines, bringing together ideas and experiences to solve complex problems. Psychotherapy chatbots embody this concept, drawing on psychology, computer science, linguistics, ethics and other disciplines to create a comprehensive support system.
As such, transdisciplinary collaboration involves psychologists, programmers, linguists, and lawyers working together to improve chatbot algorithms, develop a sound ethical framework, and deliver the highest quality of service. As technology advances and new research emerges, chatbots have the potential to revolutionize mental health support, complementing conventional therapy and improving the overall well-being of people in need. As a case-study, the research examines the features of chatbots in Arabic and Chinese.
Construction of Immersive Art Space Using Mirror Display and Its Preliminary Evaluation
Nakatsu, Ryohei; Tosa, Naoko; Pang, Yunian; Niiyama, Satoshi; Munaka, Tatsuya; Furuta, Masafumi; Ueda, Yoshiyuki; Nomura, Michio (Japan)
https://doi.org/10.54808/WMSCI2023.01.434
ABSTRACT:
When video art and other images are displayed in a vast space, an immersive effect is created, and this phenomenon is used in many applications, such as projection mapping. One way to make a small space look vast is to construct a space using mirrors. We have developed a system that gives people a sense of being in a vast, immersive space by constructing a space surrounded by mirror displays with the functions of both a mirror and a display. This paper describes its design and construction method. In addition, we selected an artwork created by one of the authors to be displayed in this space. We conducted a psychological experiment using a small number of subjects to compare and evaluate the results of displaying the artwork and geometric figures.
Consumer Perceptions of Masculinity in Advertising: The Viewpoint of Generation Z and Millennials
Kreicbergs, Toms; Ščeulovs, Deniss (Latvia)
https://doi.org/10.54808/WMSCI2023.01.299
ABSTRACT:
The purpose of the research is to explore Gennerations Z's and millennials' perceptions of masculinity in advertising. This can help advertisers to understand what type of masculine character to focus on and whether advertisers' offered version of masculinity is in alignment with consumer preferences. Research methods consisted of an extensive literature review process and quantitative research methods such as survey research of younger consumer segments such as Generation Z and millennials. The empirical results were analyzed using the SPSS 23 statistical software program. The research found that consumers tend to approve of modern masculinity in advertising more than traditional ones, with women approving of modern in slightly more convincing numbers than men. The research also found that consumers give preference to the display of affection and love and depicting masculinity less stereotypically in modern masculinity advertisements.
Cybernetic Relationships between Technological Innovations, Ethics, and the Law (Invited Paper)
Callaos, Nagib *; Cowin, Jasmin *; Erkollar, Alptekin **; Oberer, Birgit ** (* United States, ** Austria)
https://doi.org/10.54808/WMSCI2023.01.465
ABSTRACT:
We aim to identify a perspective for new Artificial Intelligence (AI) products, applications, and their impact within the context of Technological Innovations. Consequently, we will briefly examine the impact of two key historical innovations: 1) Stone Tools, which marked a technological breakthrough 400,000 years ago and heralded the Stone Age, and 2) the invention of the wheel around 3,500 BCE. The impact of the wheel's invention still resonates today, as countless innovations have been built upon this foundational creation. While some view the wheel as a discovery arising from the observation of natural phenomena, it is clear that the wheel with an axle is indeed a significant human technological innovation.
Within the framework of these perspectives and their shared elements, we will endeavor to capture the societal implications of new Technological Innovations centered around Artificial Intelligence. These innovations include Generative Artificial Intelligence (AGI), exemplified by systems like ChatGPT, and Artificial General Intelligence (GAI), as seen in entities like Perplexity AI.
We will conclude by suggesting, via analogical thinking, that these novel AI technological advancements follow a similar notional pattern—giving rise to subsequent technological breakthroughs that, in turn, shape cultures. These cultural changes then lead to shifts in moral values, necessitating adaptations in ethics and even the formulation of new laws. This proactive approach aims to prevent emerging forms of injustice and to ensure justice prevails within these evolving cultural and societal contexts."
Data Science Application for Creation of Maternal Morbidity and Mortality Predictive Software
Domínguez-Domínguez, Rúsbel *; Alférez, Germán H. **; González-Mejia, Verenice *; Donías, Norbet ** (* Mexico, ** United States)
https://doi.org/10.54808/WMSCI2023.01.1
ABSTRACT:
In Mexico, the estimated Maternal Mortality Ratio is 34.6 deaths per 100,000 estimated births. Consequently, healthcare facilities and services have given precedence to prenatal care, childbirth services, and postpartum care.
In Mexico, the Ministry of Health maintains an open database concerning maternal deaths, encompassing 58 variables. Among these variables is the CIE (International Statistical Classification of Diseases and Related Health Problems), which covers a total of 248 diseases linked to maternal deaths. Presently, there is no available software for categorizing women undergoing pregnancy check-ups.
This project is rooted in the methodology advanced by International Business Machines (IBM) for the implementation of data science. By creating predictive software, the classification of patients into the two most common causes of death became attainable: eclampsia during labor and secondary or late postpartum hemorrhage.
The software's utilized model was constructed through the Naïve Bayes supervised learning algorithm, yielding an accuracy of 0.7236. The overall precision stood at 0.75, with an overall recall of 0.74, and an overall F1-score of 0.71. For the eclampsia during labor class, precision reached 0.71, recall was 0.94, and the F1-score attained 0.81. As for secondary or late postpartum hemorrhage, precision scored 0.81, recall measured 0.43, and the F1-score was 0.56. This predictive model is executed each time a physician inputs patient data into the system.
Design and Development of an Application for the Generation of Garment Patterns Based on Body Measurements Using CNN
Curipaco, Geraldine; Tarazona, Jeiel; Subauste, Daniel (Peru)
https://doi.org/10.54808/WMSCI2023.01.348
ABSTRACT:
In recent years, the growing consumption of products and services over the Internet has led companies to take their business models to virtual platforms, so retail fashion companies, such as ateliers, need to adapt to new market trends. Ateliers specialize in making garments to the customer's measurements, so this process requires a high level of time, cost and personnel specialized in taking body measurements and pattern making. There are several technological solutions to obtain body measurements and other solutions to obtain garment patterns, however there are no solutions that integrate both processes. Therefore, we propose an application to produce dress garment patterns tailored to a person from photos, using image processing and convolutional neural networks (CNN). Our proposal starts by obtaining a frontal and a lateral photo of the person, as well as her height, and then processing the images to obtain the body measurements by means of a CNN. Finally, we proceed to adjust the patterns of the garment required with the measurements obtained in order to give as a final result the dimensions of the dress's garment patterns.
Design of Flow Channel for Cell Sorting by Size and Deformability
Yamamoto, Kota; Hashimoto, Shigehiro (Japan)
https://doi.org/10.54808/WMSCI2023.01.57
ABSTRACT:
Different types of cells differ in size and deformability. A variety of devices have been designed to sort out target cells by making use of the differences in their properties. In this study, a channel that can select target cells by providing gaps and grooves in the channel for the cell suspension was designed. When passing through gaps between cylindrical pillars with laminar flow, the cell moves in different directions depending on its size. Also, the bumping motion when passing over oblique grooves depends on the deformability of the cells. Using photolithography technology, a channel with a microcolumn array in the first half and an oblique groove array in the second half was designed. With this channel, cells can be sorted according to size in the first half and deformability in the second half.
Design of Seamless Namespace Management Scheme for Overlay Networks
Naito, Katsuhiro; Suzuki, Hidekazu (Japan)
https://doi.org/10.54808/WMSCI2023.01.107
ABSTRACT:
The Internet’s evolution has led to various network models catering to unique service requirements. Content-centric networking (CCN) and named data networking (NDN) have been developed to facilitate scalable content distribution. Seamless mobility protocols address limitations in network accessibility and communication efficiency on the Internet. These models can be considered virtual overlay networks. While conventional overlay networks are designed for specific services, their identification mechanisms may not be compatible. This paper proposes a seamless namespace management scheme for overlay networks, specifically focusing on the CYber PHysical Overlay Network over Internet Communication (CYPHONIC) protocol. The scheme introduces a virtual Fully Qualified Domain Name (FQDN)-based namespace for overlay networks to enable interoperability with the current Internet system. The proposed function hooks query FQDN information and access a cloud service to establish virtual communication. The demonstration of the implementation showcases the practical DNS query search performance, validating the proposed concept.
Development of a Method to Measure Mood Rapidly - Proposal of Mood Measurement Method for Drivers While Driving -
Shiga, Ryunosuke; Kobayashi, Takamasa; Sakaguchi, Azusa; Hishida, Hirotoshi (Japan)
https://doi.org/10.54808/WMSCI2023.01.48
ABSTRACT:
In recent years, the number of opportunities for elderly people and exhausted drivers to drive has increased. In this laboratory, as one of the engineering approaches to reduce traffic accidents due to the declining birthrate and aging population, and the increase in land transportation, a method to measure how tired a driver is from time to time in a short time has started hopefully to be developed.
The authors presently propose a "color evaluation method" which can be easily checked from the driver's seat. The program of the color evaluation method which is constructed in an Excel data format, is ported to a tablet terminal, and the driver referred to it before, during, and after driving.
While there is some conventional research on people's impressions of colors, it may depend on culture, geography, or circumstances. In the proposed color evaluation method, the color selected by the subject is decomposed into three primary colors, red, green, and blue, and analyzed. The present small experiment suggests that the red and blue components may indicate conditions likely to be related to the driver's accident. The investigation time is also long, 48 seconds, which is sufficiently applicable to drivers.
Development of a Method to Measure Mood Rapidly - Trial Use in the Music Therapy Experiment -
Kobayashi, Takamasa; Shiga, Ryunosuke; Sakaguchi, Azusa; Hishida, Hirotoshi (Japan)
https://doi.org/10.54808/WMSCI2023.01.40
ABSTRACT:
In the music therapy experiments conducted at public concerts, where the time must be matched with the flow of the concert, a method that can be done in a short time instead of time consuming POMS is desired. And if a method that does not take much time can be developed, it will be practical for checking the mental and physical condition of the driver.
In this laboratory, a color evaluation method was devised. The newly proposed color evaluation method is intended to analyze the subject's feelings based on the colors selected by this two-stage color selection method. During analysis, the selected color is decomposed into red, green, and blue components. The color evaluation method was tested on a trial basis at the 2022 Music Therapy Experimental Meeting. Then, the red and blue components clearly indicate the subject's feelings, suggesting the possibility of using the color evaluation method as a quantitative evaluation one for music therapy. On the other hand, the method of interpreting the green component was unclear and inconclusive. In order to solve the weak points of the proposed method, it will be added improvement, such as making it a form that anyone can use easily on the Web.
Development of Artificial Joint That Mimic the Movements of the Human Body - Examination of Methods for Evaluating Joint Movements -
Murakami, Kazuhiro; Toyomura, Taisuke; Hishida, Hirotoshi (Japan)
https://doi.org/10.54808/WMSCI2023.01.44
ABSTRACT:
There is no method yet for evaluating the detailed motion of artificial joints. The effects of the degree of difference between the movement of a human's natural joint and the movement of a prosthetic hand, to the degree of its impact on the patient's QOL varies from person to person. This study discusses how much the human joint deviates from the uniaxial rotational motion and how to evaluate the joint motion.
The motions of the first joints of the thumb, index finger, and middle finger are measured. The finger movements of the Japanese and Caucasian standard ligament models are almost the same. The movement of the human thumb and index finger deviates from a perfect circle, and that of the human middle finger is closest to a perfect circle. Left and right finger movements are different, which suggests that measuring the C-action of the left hand after the right hand requires a prosthesis does not reveal the C-action of the right hand. Regarding C-action and E-action, which differ from person to person, their standards as the starting points of studies for Prosthetic hand development are necessary. It is necessary to know how to decide E-action through sensory experiments.
Development of Artificial Joint That Mimic the Movements of the Human Body - Experimental Reproduction of Endoskeleton-Type Mechanisms -
Toyomura, Taisuke; Murakami, Kazuhiro; Hishida, Hirotoshi (Japan)
https://doi.org/10.54808/WMSCI2023.01.53
ABSTRACT:
The current prosthetic hand does not move like a normal human. The authors have started a prototype with the aim of bringing the joints of the prosthetic hand closer to the human body and making the mobility closer to that of the human body.
A ligament-driven endoskeletal prosthetic hand for the index finger is made for the first time by adopting the structure as follows: A frame that imitates a bone is used as an endoskeleton, and wires that imitate ligaments and tendons are attached. This structure, in which the flexor digitorum superficialis and the flexor digitorum profundus are reproduced with a single wire, does not work properly. Next, a wire is connected to each joint, and a new prototype is made. Movement improves and adjustments become more precise, but operability deteriorates. In addition, since the number of wires in each joint has increased, it becomes easier for new malfunctions and wires to come off.
The expected range of motion is obtained. In the next prototype, in order to prevent wire interference, the flexor digitorum superficialis will be reproduced with individual tendons corresponding to each joint and connected to the joint ends.
Digitalization and Entrepreneurial Skills – Adaptation of Creative Professionals to the Digital Economy
Ozoliņa-Ugore, Simona; Straujuma, Anita (Latvia)
https://doi.org/10.54808/WMSCI2023.01.242
ABSTRACT:
In today's society, technology has given rise to the idea of a digital economy, in which innovation and the development of a simple information economy play a central role. The digital economy is based on the intensive use of electronic communications and the application of information technologies to enable economic, social and cultural progress [19]. The desire to generate income inevitably leads to the search for income-generating opportunities or gainful employment, which directly affects the artist as a creative personality. Inspiration, the outcome of the work and even the message of the work to society may be affected, thus not achieving the intended result of the work. Every creative practitioner needs to assess his or her abilities, knowledge and opportunities to explore new markets and generate income that will ensure a dignified life. The author reviews the theoretical background of the artist as an entrepreneur, analyzes the concept of entrepreneurial capacity and the necessary skills in the era of the digital economy.
This allows creative professionals to gain a better understanding of potential risks, prevent unforeseen situations, reduce financial losses and plan their activities or acquire the necessary skills more successfully. Risk management is one of the most important tools for being efficient and adapting to changing business conditions. The study identifies the skills needed by creative professionals when starting work in a digital environment.
Discovery Thinking: A Complex Problem-Solving Technique
Smith, Robert; Sagheb, Shahabedin (United States)
https://doi.org/10.54808/WMSCI2023.01.453
ABSTRACT:
Today’s complex problems require interdisciplinary approaches that bring technological advancements alongside societal benefits. In this paper we present Discovery Thinking, a thinking framework that brings sociotechnical awareness to the solution space of complex problems to discover better approaches to achieve a desired outcome. Discovery Thinking provides a method to understand a complex problem space, bound it, and utilize the Discovery Thinking Four-Set Assessment to evaluate it. The initial step requires analysis of the problem space to identify a system which can be improved or replaced by an enabling capability. The enabling capability may present itself as a hardware or software solution, process improvement, or service offering. To refine a solution concept, the scope of the capability requires bounding to one or more applications and performance criteria. Bounding is achieved by developing artifacts of the existing system composition. The Four Set Assessment consists of sequential development of Desirability, Feasibility, Viability and Sustainability attribute sets and adds artifact development approaches for evaluating the solution concept. Artifacts developed within the Four Set Assessment include the solution approach, the Concept of Operations, creation of system architectures, identification of risks and issues, ability to design, ability to manufacture, methods of verification and validation, development of business plans and assessment of sustainability constraints such as legal, regulatory or operational barriers. The knowledge developed during artifact construction provides foundation to the solution concept and iteratively matures an innovation. Grounded in the results from implementation in a large polytechnic university in the United States, the Discovery Thinking output reveals a desired outcome that is enabled by innovation in the solution concept. In this context, innovation does not require developing new technology. Instead, it emphasizes integrating existing technology or approaches in a novel way to achieve an innovative solution concept.
Driver Distraction Detection on Edge Devices via Explainable Artificial Intelligence
Cimino, Mario G. C. A.; Di Tecco, Antonio; Foglia, Pier Francesco; Nocchi, Tommaso; Prete, Cosimo Antonio; Ralli, Marco; Tonelli, Lorenzo (Italy)
https://doi.org/10.54808/WMSCI2023.01.95
ABSTRACT:
Driver Attention Monitoring is a challenging research task, with several complex behavioral distractions to recognize, and the need to use non-invasive on-board systems. Recent advances in deep learning have great potential in this field. This research aims to propose an architectural solution based on a deep convolutional neural network, deployed on an edge device. For this purpose, a publicly available dataset has been exploited to recognize various distracting driver behaviors. The model has been validated using explainable AI techniques. Experimental studies show that the proposed architectural solution, deployed on an NVIDIA Jetson Nano board, achieves a throughput of 11 frames per second and an accuracy of 92%. In contrast to the recent state-of-the-art solutions, the proposed approach covers all the relevant requirements: (i) it is non-invasive; (ii) it has a complexity suitable for popular edge devices; (iii) it allows a reliable validation of the different driver distractions via explainable AI; (iv) it achieves a competitive accuracy.
Educational Platform to Encourage the Writing of the Original Quechua Language in Private Educational Institutions in the Lambayeque Region – Peru
Castillo, Luis F.; Osores, Oscar E.; Saavedra, Rocio E. (Peru)
https://doi.org/10.54808/WMSCI2023.01.294
ABSTRACT:
Every day it becomes evident to protect the original languages of Peru, such as quechua, Aymara, Shipibo, etc., specifically this research was proposed as an objective to encourage the writing of the quechua language, a language used by the ancient inhabitants of the Inca Empire and which, according to the newspaper EL PERUANO [1], currently represents the mother tongue of 3,375,682 people (13.9% of the Peruvian population). In the Lambayeque region there are currently some 3,000 quechua speakers living in the high Andean areas of the region.
The study was aimed at students, between 16 and 17 years of age, all of them attended the last year of secondary level in 4 Private Educational Institutions (IEP) in the Lambayeque region during the year 2022, 100% of the students have as language Spanish was their mother tongue and they do not speak any native language of Peru, these students were given a questionnaire before and after using the pedagogical platform, this allowed us to obtain quantitative information for our quasi- experimental study.
The results obtained were encouraging, showing an improvement in the students regarding the understanding of the writing of the quechua language at its basic level.
Exploring the Relationship Between Compliance with Diversity Management Principles and Company Performance
Pīpiķe, Rasma; Gaile-Sarkane, Elīna (Latvia)
https://doi.org/10.54808/WMSCI2023.01.253
ABSTRACT:
As the workforce becomes more global and culturally diverse, effective communication becomes crucial for interpersonal, intercultural, and group interactions within organizations. However, research by KPMG highlights the detrimental impact of discrimination and prejudice on Latvia's economy, resulting in a financial loss of 0.85-2.0% of its GDP. The cost of intolerance and disrespect towards human identity amounts to an average of 279 million to 657 million euros annually.
This study aims to uncover the complex interplay between diversity management strategies and organizational performance, with a focus on promoting firms’ performance. By examining four distinct but interrelated sets of criteria, this study uncovers the critical elements that determine the relationship between diversity management efforts and overall business performance. This study provides a deeper understanding of the complex relationship between diversity management initiatives and organizational performance through a holistic and comprehensive approach. The findings offer valuable insights for companies seeking to optimize their diversity practices and create an inclusive culture that leads to superior performance and enduring success in the dynamic global business environment.
Factors Affecting the Implementation of Quality Management Systems in Organizations
Suzanska, Veronika; Robertsone, Galina (Latvia)
https://doi.org/10.54808/WMSCI2023.01.265
ABSTRACT:
The strive of the companies for profit and competitiveness is forcing them to look for more suitable tools and solutions for business development and efficient resource management. The aim of the research is to identify factors that influence the decision and the motivation for quality management system (QMS) implementation as a tool to improve the performance of companies. The research covers a range of companies active in various areas of business. The research question is “What factors affect the decision to implement a quality management system in a company?" The research objectives are to analyze QMS implementation impacting factors and answer the research question by performing a literature review and analysis, followed by empirical research.
Factors That Impact Adaptability of Companies to Changing Circumstances with Minimal Destructive Effect During Crises
Oganisjana, Karine; Shipsey, Magenta; de Silva, Chamika Thathsarani Gawendri; Pai, Malpe Pradeep (Latvia)
https://doi.org/10.54808/WMSCI2023.01.405
ABSTRACT:
Since global crises humanity faces are becoming a regular phenomenon, the need to research the mechanisms for reaching business resilience has become crucial. Therefore, this paper explores the factors that influence one of the business resilience components: companies’ ability to adapt to changing circumstances with minimal destructive effect during crises. The literature review revealed three domains of company adaptability factors - individual, organizational, and external. The qualitative content analysis of responses from 218 heads and owners of companies from Europe, Asia, Africa, and America enabled us to determine factors that have the most significant weight in business adaptability. The 39 categories systemized in corresponding three tables shed light on the issue of what business practitioners consider as business adaptability impacting factors based on their experiences of living and working during the Global Financial Crisis of 2007-2008, the COVID-19 pandemic worldwide and/or Russia’s war in Ukraine while attempting to overcome the drastic consequences caused by them.
Factors That Impact Companies' Ability to Create New Opportunities and Realize Innovative Solutions During Crises
Oganisjana, Karine *; Trule, Laura *; Dasanayake, Ruwanpura Sashrika Nethmini *; Arkhypova, Svitlana **; Koleda, Nadežda * (* Latvia, ** Ukraine)
https://doi.org/10.54808/WMSCI2023.01.399
ABSTRACT:
This paper explores the factors influencing the company’s ability to generate new opportunities and realize innovative solutions during crises to enhance its business resilience. The research is based on the survey and interviews of 230 large, medium, and small-sized enterprises of different ages. They have different experiences in overcoming the Global Financial Crisis of 2007-2008, the drastic consequences of the COVID-19 pandemic worldwide, and/or the turmoil caused by Russia’s war in Ukraine. The qualitative content analysis of the respondents’ answers revealed five main domains of factors – company culture; the company’s resources; research & development; leadership; the market & clients, complemented with a sixth domain composed of various low-frequency codes. The 44 factors that make the base for these six-factor domains give a complete insight into drivers and barriers that companies should deal with to survive and prosper in crises.
Flexible Electrochromic Organic Nanofilms (FEON) Applied in Civil Construction
Guedes, Andre; Tartari, Simone (Brazil)
https://doi.org/10.54808/WMSCI2023.01.356
ABSTRACT:
Flexible Electrochromic Organic Nanofilms (FEON) have drawn intense attention due to their advantages over competing technologies. The method utilized to deposit as well as to integrate solutions and processed materials, manufacturing electrochromic organic nanofilms by the Electrodeposition System, has been presented in this research. The FEON device constructed in this work is electrochromic device are the base Poly (3,4-ethylenedioxythiophene), PEDOT:PSS, Poly(3-hexyl thiophene, P3HT, Phenyl-C61-butyric acid methyl ester, PCBM, Vanadium Pentoxide, V2O5, Lithium Perchlorate, LiClO4 in Propylene Carbonate, PC and Polyaniline-X1, PANI-X1, that were deposited in Indium Tin Oxide, ITO, and characterized by Electrical Measurements and Scanning Electron Microscopy (SEM). In addition, the thin film obtained by the deposition of PANI, prepared in perchloric acid solution, was identified through PANI-X1. The maximum process temperature was 50°C, which corresponds to the baking of the active polymeric layer. The result obtained by electrical Measurements has demonstrated that the PET/ITO/PEDOT: PSS/P3HT:PCBM Blend/V2O5/LiClO4/PANI-X1/ITO/ PET layer presents the characteristic curve of standard electrochromic organic device after spin-coating and electrodeposition. The Thin film obtained by electrodeposition of PANI-X1 on ITO/PET Blend was prepared in perchloric acid solution. The spectrum absorption in the spectral region of 200-1100 nm of the flexible electrochromic organic nanofilm device indicated that the gradual increase of ddp of 0.0 Volt to 5.0 Volt generates a greater deviation in the optical spectral region between 450-850 nm. The thermal effects from ultraviolet irradiation under the device’s surface, in the irradiation simulator chamber, demonstrated a 5% reduction in the device’s lifetime. The inclusion of the PANI-X1 layer reduced the effects of degradation these electrochromic organic nanofilms induced for solar irradiation, a fact that also observed in the irradiation in the simulation chamber. In Scanning Electron Microscopy (SEM) these studies reveal that the surface of PANI-X1 layers is strongly conditioned by the surface morphology of the dielectric.
Generator of User Interfaces for Mobile Applications from the Recognition of Patterns in Wireframes
Namuche, Valerie; Silva, Alexia; Barrientos, Alfredo (Peru)
https://doi.org/10.54808/WMSCI2023.01.175
ABSTRACT:
The importance of mobile development has significantly grown as technology becomes more accessible, leading to increased interconnectivity in society. To keep pace with evolving trends, businesses and companies allocate development departments to create mobile applications that meet current and ever-changing needs. However, developers often encounter numerous challenges during the software development cycle. One common issue is the conversion of wireframes, which are designed to meet functional requirements and engage customers, into functional GUI code. This manual conversion process can be cumbersome, slow, and error-prone, consuming valuable time that could be spent on developing other functionalities. This paper aims to address this problem by introducing a website that offers an automated alternative to the wireframe-to-graphic user interface transformation process. Leveraging pattern recognition and machine learning techniques, the website streamlines and accelerates the conversion, eliminating the need for manual coding. Furthermore, the paper presents the results of a questionnaire administered to a group of software developers specializing in mobile development. The developers were shown a demo of the website, and their feedback and responses are analyzed and discussed.
Harmonizing Horizons: The Symphony of Human-Machine Collaboration in the Age of AI (Invited Paper)
Oberer, Birgit; Erkollar, Alptekin (Austria)
https://doi.org/10.54808/WMSCI2023.01.482
ABSTRACT:
This paper explores the field of human-machine collaboration in the era of artificial intelligence (AI). Using a strategy paper approach, the study synthesizes qualitative narratives, quantitative trends, and interdisciplinary viewpoints to formulate comprehensive strategies and informed perspectives. The synthesized strategies emphasize the role of trust, transparency, and ethical considerations in fostering harmonious collaboration. The interdisciplinary vision emphasizes tailor-made approaches for different disciplines, combining human expertise with AI capabilities. The synthesis paves the way for future research and provides a strategic compass to navigate the evolving landscape of AI integration. In conclusion, the paper's synthesis resonates as a transformative symphony, harmonizing the potential of human-AI collaboration for progress and innovation.
How Do Students Learn Artificial Intelligence in Interdisciplinary Field of Biomedical Engineering? (Invited Paper)
Hashimoto, Shigehiro (Japan)
https://doi.org/10.54808/WMSCI2023.01.477
ABSTRACT:
The Artificial Intelligence (AI) research field is interdisciplinary. In this research, based on students’ understanding of the current situation, AI is considered in relation to biomedical engineering, which is one of the interdisciplinary fields. Students expected the effectiveness of AI for society while having ethical and security concerns. Along with the increase in communication speed with large memory capacity and networking, many results have been obtained in the field of biomedical engineering: decoding DNA base sequences and digitizing medical images. On the other hand, security issues are being discussed in information networks: handling of personal genetic information. AI is expected to be used as a means of interdisciplinary communication: interdisciplinary participation is desirable. In the future, attitudes about using AI may become one of the main principles of human society.
How Geographic Information System Can Be Used to Assist Disease Surveillance of Aquatic Organisms in Developing Countries
Ferre, Nicola *; Sbettega, Federica *; Mazzuccato, Matteo *; Franzago, Eleonora *; Menconi, Vasco *; Angeloni, Girogia *; Riuzzi, Giorgia *; Cavallo, Stefania *; Rombola, Pasquale *; Conte, Annamaria *; Di Lorenzo, Alessio *; Tora, Susanna *; Ferroni, Laura *; Martelli, Walter *; Tavornpanich, Saraya **; Posen, Paulette ***; Manca, Grazia * (* Italy, ** Norway, *** United Kingdom)
https://doi.org/10.54808/WMSCI2023.01.164
ABSTRACT:
In many developing countries, the livelihood of the population relies heavily on the fisheries sector, which, therefore, plays a significant role in the socio-economic development of these countries [1]. However, fisheries industry is vulnerable to a wide range of infectious and non–infectious disease outbreaks, which can lead to a partial or total loss of production. An approach based on aquatic disease surveillance and control measures is crucial for the early detection of such outbreaks and to reduce the risk of disease transmission [2]. To ensure the effective implementation of these approaches in developing countries, several elements are required, including human and financial resources, efficient diagnostic laboratory frameworks and technological tools for data analysis, collection and management. Among the available technological tools, the Geographic Information System (GIS) is strategic due to its ability to harness the power of existing data, integrate data from various sources, enable spatial data analysis, and enhance business processes for informed decision-making [3]. The purpose of this paper is to describe typical GIS applications to assist in disease surveillance of aquatic organisms in developing countries.
How to Identify a Consumer Through Screen: How Crisis Has Changed the Profile of Modern Consumer?
Jankovska, Ilze; Gaile-Sarkane, Elīna (Latvia)
https://doi.org/10.54808/WMSCI2023.01.218
ABSTRACT:
In this article, the modern consumer is examined as a social phenomenon that has been influenced by various crises. The crises discussed within the scope of this article are the Covid-19 pandemic and the Russian invasion of Ukraine.
The first crisis, the Covid-19 pandemic, significantly altered consumption habits, as most consumable goods and services shifted to virtual reality, including culture, news, education, and socialization. The boundary between virtual and physical reality blurred, resulting in changes to the consumer themselves. Identifying and characterizing consumers based on demographic parameters became ineffective, as the virtual environment allows consumers to be whoever they want to be, self-defining their identities.
The second crisis, the Russian invasion of Ukraine, highlighted the vulnerability of consumers and reinforced society's dependence on consumption. During times of war, regular consumption or non-consumption of news can be life-threatening, thus depriving the consumer of the choice not to consume. Being connected and active through mobile phones to receive emergency alerts or having internet access to follow current events becomes a necessity.
Consumers, like chameleons, not only adapt to given circumstances but also blend in with them.
Impact of Virtuality and the Use of TIC by University Teachers in Times of the Covid 19 Pandemic
Soto Carrión, Carolina; Jimenez Mendoza, Wilber; Jimenez Soto, Isabel Milagros (Peru)
https://doi.org/10.54808/WMSCI2023.01.328
ABSTRACT:
The Covid19 pandemic has abruptly changed the way of teaching university teachers. Objective: to establish the impact of the change from face-to-face to virtuality in the teaching-learning process of university professors at the Technological University of the Andes, Abancay. Method: In the study, 151 teachers from the different careers and Faculties of the university participated, under a random shot. The intervening instrument has been a structured survey of 10 questions and a five-level scale and other closed ones sent by institutional emails, Results: The teachers of the Technological University of the Andes have not had any virtual means at the beginning of the pandemic and it was The change from face-to- face to virtuality had a great impact, with teachers who react quickly to the use of technologies (TIC) and some have been adapting with difficulty in subsequent months. Discussion: The university had difficulties at the beginning about the conditions and facilities for access to technological tools, connectivity, implementation, but there was a difficult but quick reaction from the teachers. Conclusions: University teachers after the start of the Covid19 pandemic, have adapted with many restrictions to the virtual modality, for having been a sudden, unexpected change Teachers have adopted virtual strategies with the use of Tic tools, accepting in a 41 % the Moodle system for the development of learning sessions at the University.
Improvement of Quality Management by Process Approach: Case of Research and Experimental Development Company
Āboliņa-Ābola, Līva; Straujuma, Anita (Latvia)
https://doi.org/10.54808/WMSCI2023.01.190
ABSTRACT:
In order for the programs co-financed by European Union funds to run successfully, various projects are implemented in various sectors. The project implementation and monitoring processes are created in accordance with the requirements of the regulatory acts established by Latvia and the European Union. Non-compliance with the rules may result in the return of the granted EU fund co-financing. Processes introduced that do not comply with regulatory enactments may result in the occurrence of a risk of conflict of interest. In order for the implementation of the project to proceed efficiently, the company needs to implement high-quality processes.
The aim of this paper is to analyze the quality system by using a process approach in order to develop improvement suggestions for the prevention of possible errors in the processes of preparing the project applications and progress reports. Research methods such as qualitative content analysis, Porter's "five forces analysis model", Work distribution structure, Process mapping, Value stream mapping and FMECA were applied for the assessment of the quality management system. Based on both the theoretical research and a case study of a Research and Experimental Development Company proposals are developed for processes, for the quality management system and for the integrated management system.
Improvement of Quality Management Strategy: A Case of a Metal Production Company
Strazdiņa, Linda; Greitāne, Rita (Latvia)
https://doi.org/10.54808/WMSCI2023.01.259
ABSTRACT:
It is believed that if a company has implemented and certified one of the management systems and obtained certificates, it serves as a proof that the company's processes are managed to ensure the quality of products or services. There are several companies in Latvia that act as service providers in the implementation of Integrated Management Systems in organizations. But it works effectively only in the short term, because if this management strategy is not integrated into the company's culture, then the quality management system gives a short-term effect. Unfortunately, an implemented and certified quality management system does not automatically guarantee the quality of the product, because in this case the terms “compliance” and “quality” cannot be equated. Often, processes are reviewed, and documentation is renewed only at the time of the external audit. The main goal is to obtain a certificate, which in many cases is a customer requirement, such as in a metalworking company.
The aim of this paper is to analyze the impact of improvements in the quality management strategy on the operation of the manufacturing company. Research methods such as Delphi method, FMEA analysis, as well as logical analysis are applied. Based on both the theoretical research and a case study of a metal production company, the authors identify the main operational aspects that are affected by the improvement of the quality management strategy in a manufacturing company.
Improving the Integrity of a Voting Process with Biometric Authentication and Data Encryption
Molina, Walter M.; Mac Kay, Lino R.; Subauste, Daniel (Peru)
https://doi.org/10.54808/WMSCI2023.01.145
ABSTRACT:
Throughout the years, the voting process has under-gone a digital transformation, aiming to achieve greater control and optimize time while ensuring the integrity of each vote. While previous solutions have introduced changes in architecture and security processes, there hasn’t been a defined secure model for voting. The applications developed in this study employed biometrics and a fingerprint reader for authentication security, along with cryptography algorithms to safeguard the flow of voting data. Experts and individuals involved in the Peruvian electoral process evaluated the web and mobile applications to determine their viability in a real-world context and their potential to enhance the electoral process in Peru. This evaluation was conducted through a case study involving 50 participants and satisfaction surveys, which qualitatively assessed the usability and effectiveness of the applications. The results indicated that the developed applications were well-received, perceived as intuitive, and provided an interactive experience.
Information System Technologies as a Support for the Implementation of the African Swine Fever Passive Surveillance Plan in Veneto (North-Eastern Italy)
Tassinato, Clara; Nalesso, Giacomo; Callegaro, Azzurra; Capello, Katia; Ruggeri, Margherita; Rizzo, Simone; Menegon, Francesca; Urbani, Rachele; Favero, Laura; Di Martino, Guido; Manca, Grazia (Italy)
https://doi.org/10.54808/WMSCI2023.01.181
ABSTRACT:
Effective monitoring and surveillance systems are essential for preventing animal diseases and zoonoses. In the Veneto Region (Italy), an information system was developed by the Istituto Zooprofilattico Sperimentale delle Venezie (IZSVe), a veterinary public health institute, to support regional Competent Authorities (CAs) in the management of animal disease surveillance activities, including the African Swine Fever (ASF) national surveillance plan. This system consists of two main components: a data warehouse (IZSVe DWH) and a dashboard developed on the QlikView® system (QlikView®-ASF). The IZSVe DWH, in turn, combines information from two other applications: the IZSVe Laboratory Information Management System (named IZILAB) and the National Data Registry (NDR) of swine farms. Data provided by the system elements are heterogeneous and related to two main components: 1) Sampling activities included in the ASF surveillance plan, carried out by local veterinary services (e.g. information regarding organs subjected to sampling, animal characteristics, sample source location and farm details); 2) Laboratory data and test results. The IZSVe Epidemiology Department manages the system mentioned above and produces a monthly report, addressed to local veterinary services and regional CAs, presenting updates on the status of the ASF surveillance activities conducted in the Veneto Region. This allows planners and decision-makers to verify the correct application and the effectiveness of the surveillance measures adopted to prevent the risk of introduction and spread of the ASF virus in the regional territory.
Main Causes of Interpersonal Conflicts and How to Deal with Them
Ozolina, Jana; Gaile-Sarkane, Elīna (Latvia)
https://doi.org/10.54808/WMSCI2023.01.248
ABSTRACT:
Interactions with others do not always go as well as one would like, this also applies to workplaces. Strong emotions arise, which can even interfere with hearing what the opponent is saying. During the research, the main reasons why conflicts arise in the workplace are investigated. This study reveals that regardless of where interpersonal conflict occurs, its root causes are the same. The study proposes five basic steps for constructive conflict resolution.
Media and Information Literacy Among Brazilian K-12 Teachers: A Case Study at Guarujá Municipal Education System
Passarelli, Brasilina; Angeluci, Alan César Belo (Brazil)
https://doi.org/10.54808/WMSCI2023.01.152
ABSTRACT:
The aim of this study was to map the access, use and appropriation of In-formation and Communication Technologies (ICT) by K-12 teachers in the city of Guarujá, on the coast of the State of São Paulo, Brazil. The investigation was carried out throughout the distance training workshops and distance learning activities offered by the Research Center for New Communications Technologies Applied to Education from the University of São Paulo – School of the Future-USP. An Innovation Ecosystem in Basic Education pro-gram was conceived in order to conduct the activities and needed to be adapted to fully digital circumstances due to the global COVID-19 emergency in 2020 and 2021. This change ended up allowing the collection of important information about teachers' perceptions of their digital competences. Among the results pointed out, activities started to be carried out digitally, including by non-conventional means, such as through social networks and also mediated by cell phones; the mandatory experience with the digital environment made the teachers understand that it will not be possible to return to a relationship of certain distance with the computational resources. This scenario makes recurrent difficulties even more serious, such as lack of technical support and maintenance, low Internet connection speed and pedagogical support for creating class content with computers.
Microarray Design for Measuring Contraction of Aligned Isolated Myotubes
Jinnai, Sora; Hashimoto, Shigehiro (Japan)
https://doi.org/10.54808/WMSCI2023.01.36
ABSTRACT:
Measurement of single-myotube contraction is essential for the evaluation of engineered tissues. A microarray-associated scaffold plane was designed to evaluate the contraction of multiple myotubes simultaneously in vitro. Considering the dimensions of a single myotube, a microcylinder array with a diameter of 10 μm and an interval of 20 μm was created on the scaffold plane by photolithography. Cells will be cultured on columnar projections of 20 μm in height or on the flat membrane surface with micro-projections on the back. To culture each myotube in isolation, a layer of water-soluble gel is used. Concave spaces are prepared at intervals on the gel surface, and myoblasts will be seeded in the concave spaces. After the myoblasts differentiate and fuse into myotubes, the gel layer is dissolved and removed. Cyclic electrical pulses will be applied through electrodes immersed in the medium. The repetitive contractile motion of myotubes will be measured by the synchronized deformation of the micro-columns or the movement of back projections accompanying the deformation of membrane. Contraction motion of multiple myotubes can be measured simultaneously. By comparing the motion in membranes with protrusions on the back surface, the effect of the shape of the microcylinder can be evaluated.
Multitask Scheduling on Distributed Cloudlet System Built Using SoCs
Kakade, Manoj Subhash; Karuppiah, Anupama; Mathur, Mayank; Bibekar, Manasi; Basu, Gaurav; Raghavan, Aaditya; Raghav, Ananth; Lekshminarayanan, Pranav (India)
https://doi.org/10.54808/WMSCI2023.01.61
ABSTRACT:
With the emergence of IoT, new computing paradigms have also emerged. Initial IoT systems had all the computing happening on the cloud. With the emergence of Industry 4.0 and IoT being the major building block, clouds are not the only solution for data storage and analytics. Cloudlet, Fog Computing, Edge Computing, and Dew Computing models are now available, providing similar capabilities to the cloud. The term cloudlet was introduced first in 2011, but research in this area has picked up only over the past five years. Unlike clouds which are built with powerful server-class machines and GPUs, cloudlets are usually made using simpler devices such as SoCs. In this paper, we propose a complete novel distributed architecture for cloudlets, and we also are proposing algorithms for data storage and task allocation across various nodes in the cloudlet. This cloudlet system was built using Qualcomm Snapdragon 410c. We have analyzed the architecture and the algorithm for varying workloads, bandwidth and data storage. The primary aim of the algorithm and the architecture is to ensure uniform processing and data loads across the nodes of the system.
Musical Performance as Complex Emotional Communication – Proposal for a Systemic Model for Research on Musical Expressiveness
Fernández de Velazco, Fuensanta; Carpinteyro-Lara, Eduardo; Rodríguez-Luna, Saúl (Mexico)
https://doi.org/10.54808/WMSCI2023.01.412
ABSTRACT:
This article presents a systemic model of expressiveness, required for emotional communication in a musical performance, based on the convergence of multiple factors that interact with each other, related to the composer, the musical work to be interpreted, the performer, the audience, and the cultural setting in which the music is performed. This expressiveness is not considered an innate talent of the performer, but the result of the construction of a musical identity through a transdisciplinary pedagogical proposal. The proposal considers the musical development of the interpreter in which musical technique is important, it also includes questions related to interpretation reinforced by transdisciplinary bridges with other arts, such as theatre or dance (body expression), plastic arts, literature, and cultural history, reinforcing their sensitivity and creativity. This correlation of visual, spatial, bodily, literary, and acoustic experiences, and the development of reflection and dialogue processes in relation to the experiences and learning, may provide a new way of perceiving the work, which may be reflected as a new reality in the expression at the time of interpretation. A pedagogy focused on systemic-transdisciplinary learning includes the awareness process itself and is open to uncertainty, that is, it allows reflections based on experience to act on ourselves, and to "go beyond" reflection. Sometimes we block this process and fail to find the meaning itself. The practice of the lived expressive experience proposes an awareness between oneself and the elements of the environment. The experience and the reflective dialogue around it help us find the meanings of the experience lived in ourselves. This reflection on the lived experience directly influences the construction of the artist's identity thanks to "narrating experiences", and this identity of the artist bears his expressiveness as its characteristic seal. The systemic model, based on Forrester's System Dynamics approach, is an original contribution that introduces the technique of modelling and simulation in music research.
Notes on Functional Causality
Alonso-Stenberg, Kristian; Si-Abdallah, Noureddine; Lloret-Climent, Miguel (Spain)
https://doi.org/10.54808/WMSCI2023.01.360
ABSTRACT:
Causality is the principle that explains that there is a cause for every effect that occurs. Thanks to causality, we can know whether one variable or entity is the cause of another. When the variables involved are mathematical functions, we speak of functional causality. Although statistics offers us some interesting tools such as correlation, regression or probabilistic independence, it is still complicated to determine whether one variable is the cause of another. In this paper, we have developed the notion of functional causality, through the concept of partial derivative in time functions. In this sense, several definitions, graphical examples and mathematical properties have been proposed. Finally, we have obtained a relationship between functional and counterfactual causality, applying it to a real case study. Specifically, we have used both techniques to determine the causal effect that the post-COVID economic recovery measures have had on the Consumer Price Index in Spain.
Optimization of End-of-Life Product Recycling Supply Chain Using PSO Algorithm and R Language
Ellili, Walid *; Marheel, Mahfoud **; Louati, Mahdi *; Loukil, Taïcir Moalla * (* Tunisia, ** Libya)
https://doi.org/10.54808/WMSCI2023.01.103
ABSTRACT:
This article presents an optimization approach for the end-of-life product recycling supply chain using the Particle Swarm Optimization (PSO) algorithm and the R programming language. The objective is to minimize the total cost associated with transportation, facility opening, and variable costs, while meeting the capacity constraints of collection, recycling, and landfill sites over multiple times. The PSO algorithm is utilized to find the optimal solution for the problem. The results demonstrate the effectiveness of the proposed approach in optimizing the end-of-life product recycling supply chain. The optimal solution yields a significant cost reduction compared to previous approaches. The article concludes with insights into the benefits and limitations of using the PSO algorithm and R language, and provides recommendations for future research in this area. Overall, this study contributes to the field of sustainable supply chain management by providing a practical and efficient solution for optimizing the end-of-life product recycling process.
Optimizing Multivariate LSTM Networks for Improved Cryptocurrency Market Analysis
Ben Miloud, Mohamed O.; Kim, Eunjin (United States)
https://doi.org/10.54808/WMSCI2023.01.83
ABSTRACT:
Although cryptocurrency has gained popularity as an investment alternative, investors may find it challenging to manage the market due to its high level of volatility. This study focused on Bitcoin and Ethereum over six months and collected and evaluated data on four critical characteristics to assist investors in making more educated decisions. The study discovered that thorough market knowledge is essential and that combining cutting-edge analytical methods like multivariate LSTM networks and Differential Evolution (DE) can improve accuracy and reduce risk in investment decisions. Investors can alter their investments by using data analysis to picture market movements and pinpoint important trends comprehensively. The research represents a significant advancement in the cryptocurrency market analysis and offers insightful information on the variables affecting Bitcoin's market value. It provides a trustworthy tool for investors to make informed investment decisions in a complex and erratic market. Using cutting-edge analytical tools, investors can increase their chances of success in this vibrant and quickly changing market.
Parking Space Allocation Model of Shared Parking Lots Considering Revenue Management
Ni, Zihao; Liu, Michael; Bao, Ji; Ji, Kaifeng (China)
https://doi.org/10.54808/WMSCI2023.01.18
ABSTRACT:
With the increase of car ownership, the difficulty of parking has attracted more and more attention from the society. In recent years, a shared parking strategy has been proposed to alleviate the difficulty of parking by sharing existing parking space resources. From the perspective of the parking lot operator, aiming at achieving the maximum profit, this paper establishes a linear programming model to solve the parking space allocation problem of shared parking lots. Based on the actual situation, this paper introduces the idea of revenue management. It takes the different types of customers, the impact of price on supply and demand and overbooking conditions into consideration for the first time. Then, through numerical experiments, the allocation strategy and analysis of the model can be obtained. The proposed model not only relieves the difficulty of parking with limited and existing resources, benefit the society, but also provides an effective parking space allocation strategy for parking lot operators.
Positioning as a Catalyst Towards Innovations
Štrausa, Evita; Ence, Enno; Gaile-Sarkane, Elīna (Latvia)
https://doi.org/10.54808/WMSCI2023.01.196
ABSTRACT:
In order to keep up with the rising demand for better products and constantly facing challenging competition, innovation must be encouraged in the product development process. The authors of the paper look for an answer to the question of whether targeted positioning in product development contributes to more successful innovation. Within the framework of this paper, the authors develop a new theoretical Brand Positioning Complex Model, emphasize the importance of positioning towards innovations, make research how the positioning is performed in innovative solutions, and how positioning affects the implementation of innovations. In the practical part of the paper structured phenomenological approach to interviews is applied, and the obtained results show a relation that, if the positioning is performed purposefully in the direction of innovation and, if the positioning elements comprehensively are applied in product development, then it facilitates the more successful introduction of innovations. The transfer of knowledge between science and entrepreneurship in the process of innovation creation is also essential for product differentiation, successful commercialization, and adding value to solutions. The authors develop a model of knowledge transfer in the development of innovation reflecting the interaction importance of entrepreneurship and science.
Post-Pandemic Analysis of the Broader Impact of COVID-19 on the World's Economy, Health and Education
Batthula, Venkata Jaipal Reddy; Segall, Richard S.; Cingireddy, Anirudh Reddy (United States)
https://doi.org/10.54808/WMSCI2023.01.286
ABSTRACT:
The COronaVIrus Disease of 2019, also known as COVID-19, spread worldwide in 2019, and by the end of 2020, it had a significant impact on various aspects of the world, including the economy, health, education, and numerous other sectors. To combat the illness, nations worldwide were compelled to implement stringent measures, such as restricting the movement of people, products, and services. Consequently, economies collapsed, and human interactions underwent permanent changes, altering people's daily lives and operational methods.
This paper explores the state of the economy, education, and health before, during, and after the COVID-19 epidemic. It examines the impact of the epidemic on these three vital aspects of human life and speculates on potential solutions to address the issue and restore normalcy.
In addition to outlining major management problems, this paper addresses the global response to the epidemic and its socioeconomic effects on vulnerable communities, the strain on healthcare systems, and the disruption of education. It explores potential responses to these issues, including increased funding for healthcare and educational technology, targeted economic stimulus plans, and community-based initiatives to enhance health and well-being. To effectively address the long-term effects of the pandemic and ensure a sustainable and resilient future for all, the article emphasizes the significance of global cooperation and collective efforts.
Predictive Analytics Based on Digital Twins, Generative AI, and ChatGPT
Mateev, Mihail (Bulgaria)
https://doi.org/10.54808/WMSCI2023.01.168
ABSTRACT:
ChatGPT (Chat Generative Pre-Trained Transformer) is one of the latest technologies in modern Artificial Intelligence (AI) and probably the technology with the highest impact in this area for the near future.
The latest version of ChatGPT – GPT-4 has improved in several areas, including Predictive Analytics.
Generative AI and Ghat GPT can be used in different areas – not only to generate human-like content easily but also in different business domains in the modern industry, like the construction industry.
This research gives an overview of the application of Generative AI, particularly ChatGPT, for predictive analytics in different areas focusing on the construction and building industry.
The paper analyzes options to use Generative AI together with another essential for modern analysis technology – Digital Twins in two different aspects:
1) To design and build systems for Predictive Analytics
2) To implement Cognitive Digital Twins,
The research used prototypes based on Microsoft Power Platform (Power Virtual Agents, Power Automate), Open AI, and Azure Digital Twins, which can offer predictive analytics in the construction industry.
The article includes results, providing information about cost savings and time reduction when using Generative AI for predictive analytics in the construction industry.
Process Approach in Public Sector Institutions and Governance – A Formality or a Necessity?
Ozola, Liene; Lapiņa, Inga (Latvia)
https://doi.org/10.54808/WMSCI2023.01.235
ABSTRACT:
In the context of state administration institutions, including institutions of direct administration, there are increasing attempts to improve their quality and efficiency. Thus, it is important that public institutions carry out their processes with quality, despite any political changes in state administration. The issue also relates to how often public institutions fulfil the planned indicators and with what accuracy they are fulfilled. Therefore, proper planning and use of resources is at question.
The aim of the paper is to determine the place of a process and of the process approach in a public institution and the process approach’s ability to improve process management in a public institution and the operation of a public institution’s quality system.
The research includes the application of the scope review method, systemic qualitative literature review method, Agile approach and impact-effort matrix. The paper first addresses the methods used for a theoretical understanding of process management approaches, process approach and processes, then continues to their analysis. Afterwards, the paper assesses the possible solutions in a test institution and through a test process, including by providing universally applicable proposals for improving the quality and efficiency of process management and functioning of a quality system in a public institution.
Prototyping of New Concept BLE Device with Multiple Functions
Naito, Katsuhiro; Osaki, Shotaro (Japan)
https://doi.org/10.54808/WMSCI2023.01.68
ABSTRACT:
Bluetooth Low Energy (BLE) is a well-known communication standard between smartphones and microcomputers. Typically, microcomputer devices use a System on Chip (SoC), a particular microprocessor including processing and communication functions. Therefore, BLE devices usually work long with a small battery cell. Additionally, they can easily support various types of sensors not implemented in a smartphone. Many smartphone applications have recently used their unique device to make new services such as healthcare, location tracking, commercials, etc. As a result, users should carry out many BLE devices for each smartphone application. This paper proposes a new concept of BLE devices supporting multiple smartphone applications. Our concept device has many types of sensors typically used by application services. Additionally, our device assumes multiple access from application services. Therefore, users may aggregate multiple BLE devices to the proposed device according to their required functions. Our device can support real-time sensing, periodic sensing, beaconing, and triggering based on some conditions.
Raising Misinformation Awareness via Rule-Based and Mindfulness Training
Kuralt, Michelle; Ray, Lydia; da Silva, Stephanie; Peker, Yesem (United States)
https://doi.org/10.54808/WMSCI2023.01.305
ABSTRACT:
Misinformation campaigns can have real and lasting effects, such as driving political elections, causing vaccine hesitancy, and creating intergroup conflicts. This paper reviews existing literature on misinformation, and describes a study conducted by the authors in which the likelihood of sharing misinformation was measured among participants who received training based on rules or mindfulness, or who received no training at all. Participants who received misinformation training were less likely to share (i.e., pass along) the misinformation compared to participants who did not receive misinformation training. Thus, susceptibility to misinformation can be combated through educational strategies.
Remote Hands-on Experience for Students in Undergraduate Computer and Electrical Engineering
Hall, Janne; Tanner, April; Eldek, Abdelnasser (United States)
https://doi.org/10.54808/WMSCI2023.01.137
ABSTRACT:
The focus of this research was to analyze current methods for online education for electrical and computer engineering undergraduate programs. From this research, an online model for virtual labs in undergraduate engineering is introduced. Experiential learning was exhibited by students through the hands-on experience with lab equipment combined with user feedback. Software used in this research to simulate traditional lab equipment affords institutions the opportunity to provide instructive methods to remote students who are unable to complete on-campus curricula. The devices used to remotely complete the virtual labs facilitated high-value lab practices and skills comparable to those presented in an on-campus lab. As examined during this research, the opportunity to operate virtual devices with the simulation software delivered an extensive laboratory experience with the capability for creating a teaching method for engineering concepts. Data from the students’ feedback on the simulated, interactive learning is presented in this paper.
Simulation Model of a Company System
Angelova, Yordanka; Dimova, Daniela; Koleva, Nataliya (Bulgaria)
https://doi.org/10.54808/WMSCI2023.01.375
ABSTRACT:
Simulation models provide an opportunity to experiment with alternative management solutions. These experiments can be done before designing or making changes to a system to clarify how the system will react to a change in the structure and the rules of operation.
The company system is a complex system operating under conditions of uncertainty. Its life cycle is the process of passing through multiple system states.
Through statistical tests and with the help of the created simulation model of a company system, experiments are carried out under different scenarios and management decisions.
Stakeholders of Innovation Ecosystem and Improvement of Their Performance
Briede, Liene; Gaile-Sarkane, Elīna (Latvia)
https://doi.org/10.54808/WMSCI2023.01.203
ABSTRACT:
Increasingly more often an ecosystem and its development are mentioned as a prerequisite for the transformation of the national economy and social wellbeing. By assuming that an ecosystem is a mutually dynamic interaction of different stakeholders, extensive studies have been conducted to determine the ecosystem performance, the effect of its actors, and the effect of the ecosystem on the actor performance.
By assuming that ecosystems have a local or regional context, the structure of an ecosystem, its variable factors, actors, and their mutual effect can differ.
With account of the role of innovations in the business ecosystem in implementing the European innovation strategy, it is necessary to identify the main actors of the ecosystem and the prerequisites for their performances within the ecosystem.
The Action Research Case Conducted by Grasp Alterpiana in the Living Environment the Plain Firenze Prato Pistoia - Tuscany - Italy
Pizziolo, Giorgio; Micarelli, Rita (Italy)
https://doi.org/10.54808/WMSCI2023.01.445
ABSTRACT:
This article proposes an approach to Living Environments, their transformations, and possible new ways for their evolution as Ternary Ecosystems of Human/Society/Living Environment, in which the inhabitants are actively involved through practices of Civic and Participatory Governance and Democracy. These intentions can be realised by re-establishing or recreating relational structures and concrete stimuli in the still vital Ecosystems, which can be reconnected and promoted through the practice of participatory and collaborative Action Research carried out by citizens and experts, aimed at reconstructing living environments as Commons.
The Framework of Employee Stress Prevention: A Case of Service Companies
Žizņevska, Agnese; Kamola, Liga (Latvia)
https://doi.org/10.54808/WMSCI2023.01.278
ABSTRACT:
At present, increasingly more employees are subjected to stresses, which occur both at workplace and beyond it. Being subjected to continuous stress, with time, employees may face different health problems, their work efficiency deteriorates, as well as their satisfaction with work, often resulting in termination of employment. In cases when work is emotionally strenuous, for example, when having difficult customers, it can cause a high level of stress and employees are subjected to burnout. Service providers are in continuous interaction with customers, the company’s profit and reputation depend on the concluded transactions, and, therefore, frequent emotional meetings may provoke anxiety that leads to stress.
The goal of this work is to identify stress-provoking factors and offer a model (approach) for their prevention at service companies. Methods used in the work are analysis of statistics and references, qualitative content analysis, as well as interviews and questionnaire survey. Based on studies of theoretical sources and empirical research, the authors have developed a stress prevention model for managers of service companies.
The Impact of Technology on the American Printing Industry in the Past 20 Years
Merritt, Humberto (Mexico)
https://doi.org/10.54808/WMSCI2023.01.429
ABSTRACT:
Digital printing has revolutionized how documents, pictures, and other materials are printed, providing high-quality results rapidly using inkjet or laser printers compared to traditional methods that were reliant on offset printing techniques that took hours or even days to finish just one print job. This condition has led to many changes in the industry, including: 1) A decline in the number of jobs in the printing industry, as automation has replaced many manual tasks. 2) A shift in the types of printing services in demand, with more emphasis on short-run, high-quality jobs, and 3) The emergence of new markets for printed materials, such as digital labels and packaging. In the United States, the printing industry digitization has produced significant changes, including shifting markets and declining sales, resulting in the obsolescence of numerous jobs. We argue that this phenomenon aligns with the Schumpeterian concept of creative destruction. We then examine the effects of digitization on employment and wages within the U.S. printing industry between 2002 and 2021. By employing exploratory statistical analysis, we aim to determine if the printing industry has experienced any deviations in employment and wages compared to the overall national trend. Empirical evidence indicates a continuous decline in active workers in the U.S. printing industry from 2001 onwards. However, average wages have shown slower growth compared to the broader economy.
The Openness of the Academic Staff to New Experiences in the Study Process
Opmane, Krista; Zeps, Artūrs; Lapiņa, Inga (Latvia)
https://doi.org/10.54808/WMSCI2023.01.229
ABSTRACT:
The concept of openness is broad, and in this article, the aim is to discover the main conditions that promote teaching staff's openness to new experiences in the study process in this era when traditional educational practices are changing, and digitization processes are prevailing. Recognizing these conditions is essential for universities because the teaching staff is of great importance in how the study processes occur and the feedback link with students. The authors conducted the research as a systematic literature review using qualitative content analysis to interpret the literature and answer the research question, "What conditions promote teaching staff openness to new experiences in the study process?" Based on the application of a literature review and qualitative content analysis, the authors have obtained results that include several conditions with specific frequencies, answering the research question. The main conditions are internationalization, digital competence, and the personality traits of the teaching staff.
The Role of Generative Artificial Intelligence as Research Assistant: Opportunities and Challenges
Cherinka, R.; Prezzama, J. (United States)
https://doi.org/10.54808/WMSCI2023.01.89
ABSTRACT:
The implementation of Artificial Intelligence (AI) and Machine Learning (ML) methods have arguably demonstrated value for various use cases, such as those we have experienced in our work across the public and military sectors. Generative Pre-Trained Transformer (GPT), and in particular, ChatGPT is a state-of-the-art language model developed by OpenAI, which has gained popularity in recent years due to its ability to generate human-like responses to text-based prompts. ChatGPT has found application in various fields, including natural language processing, conversational AI, and customer service. In this paper, we discuss the opportunities and challenges of using ChatGPT as a research assistant in the development of a research paper, such as would be produced in the fields of psychology, education, and social sciences. We present some examples of how ChatGPT can be used to generate new insights, validate existing theories, and potentially enhance the quality of research. We discuss our use of ChatGPT to help write this paper, and share our experience and observations regarding its effectiveness and flaws as a research assistant.
Tools and Methods for the Enhancement of the Quality Management System in Multiapartment Building Management and Maintenance Companies
Vinokurova, Kristīne; Pīlēna-Dālberga, Arta (Latvia)
https://doi.org/10.54808/WMSCI2023.01.271
ABSTRACT:
Quality management is an integral part of companies that strive to ensure customer satisfaction and process efficiency. Nowadays, many companies apply different tools and methods in the operation of their management systems to identify and analyse problems, as well as to find solutions for their prevention and improvement of the efficiency of the quality management system. For multiapartment building management and maintenance companies, it is particularly important to manage the internal processes and their interaction with the services provided to meet customer requirements and ensure their satisfaction, therefore, tools and methods can be applied to the quality management system to facilitate the management of processes and to promote its efficiency.
The aim of this paper is to analyse the contribution of various tools and methods on the enhancement of the quality management system. Research methods such as literature review method and qualitative content analysis are applied. Based on the theoretical research and practical application of the identified tools and methods, the authors identify the contribution of these tools and methods on the enhancement of the quality management system in multiapartment building management and maintenance companies.
Trans-disciplinary Communication and Multi-disciplinary Research
Vieira Kritz, Maurício (Brazil)
https://doi.org/10.54808/WMSCI2023.01.340
ABSTRACT:
Phenomena investigated by scientists changed in quality, structure, and complexity since the dawn of XX century, moving from problems of simplicity into the organized-complexity domain. These phenomena contain almost always a living entity as one of its interacting parts. In the same historical period, scientific knowledge accumulated rapidly, and the education of scientific researchers embraced an ever-greater specialization, driven by the volume of accumulated knowledge, the proliferation of fields of interest and the “optimization” of training with respect to quantity and regularity. Consequently, scientific fields became more and more isolated, generating jargons and specificities in reasoning and application of the scientific method. This deeply contrasts with the present necessities of Humanity where the challenges, stemming from complex phenomena spreading over great spatial extensions, can only be mastered from a multi-disciplinary perspective.
This work addresses the problem of how to turn a scattered scientific community into a meaningful mosaic of immense intellectual power. Difficulties and necessities in the communication between people educated in different disciplines are exposed using cybernetic, system, and communication concepts. It throws initial light in the possibilities and efficacy of multi-disciplinary scientific endeavors. It starts looking backwards into how communication among scientists and between scientists and non-scientists possibly occurred since the scientific revolution. It settles a framework to discuss problems related to trans-disciplinary communication in general, focusing on multi-disciplinary scientific research. The framework is constructed by pinning-down terminology and clarifying, polishing, and adapting a few intellectual tools from system and communication sciences, exemplifying how they may be employed.
Trans-Disciplinary Communication and Persuasion in Convergence Research Approach
León, Cristo *; Lipuma, James *; Cabobianco, Marcos O. ** (* United States, ** Argentina)
https://doi.org/10.54808/WMSCI2023.01.312
ABSTRACT:
This paper investigates the role of persuasion in research, specifically focusing on Trans-Disciplinary Communication (TDC). It distinguishes between convincing and obtaining consent, commitment, or consensus within TDC. It explores whether academic presenters should advocate for their positions or contribute to the disciplinary body of knowledge. The analysis employs a Systematic Literature Review and a Bibliometric Network visualization to examine state-of-the-art TDC research. Persuasion is contextualized within the public debate, and its relevance to the search for objective truth and paradigm shifts in research is discussed. The paper explores Trans-Disciplinary, Inter-Disciplinary, and Multi-Disciplinary Communication in collaborative research, highlighting the counterproductivity of contentious debates in TDC and convergence research. The role of persuasion is examined through theoretical frameworks such as Game Theory, Critical Theory, and the Theory of Interactive Team Cognition. This comprehensive exploration emphasizes the need for a Trans-Disciplinary approach to clarify terms and taxonomies and enhance understanding among researchers worldwide. It sheds light on communication and language functions, theoretical frameworks, and the debates surrounding TDC and convergence research. The paper suggests future directions for TDR and TDC, aiming to foster effective communication practices in the global research community.
Transdisciplinary Communication as an Element of Dialectical Experience for New Knowledge
Panter, Julian; Ehret, Sonja (Germany)
https://doi.org/10.54808/WMSCI2023.01.119
ABSTRACT:
This article focuses on two main sources, Hans-Georg Gadamer's "Truth and Method" and the anecdotal findings of a seminar on intergenerational dialogue at the Ruprecht-Karls-University of Heidelberg, to explain experience as a precursor to knowledge and to link transdisciplinary and intergenerational communication as pathways to dialectical experience and thus to new ideas and knowledge. Furthermore, an action-learning approach is presented as a practical way to develop transdisciplinary and intergenerational communication skills, due to the necessity of 'making experience' and the impossibility of 'learning experience'.
Use of Audience Response Systems to Enhance Student Engagement in Online Synchronous Environments: An Exploratory Study
Nesbit, Trevor (New Zealand)
https://doi.org/10.54808/WMSCI2023.01.440
ABSTRACT:
Many higher education institutions adapted to the Covid-19 pandemic by switching their teaching into online mode making use of online synchronous sessions using technologies such as Zoom. It was common for lecturers to find it disconcerting that many students were not turning on their cameras and microphones and how this made it difficult to ascertain whether their students were engaged in the sessions at all.
This paper examines the experiences of teaching staff in eight courses relating to the use of audience response systems (ARS) to improve the experiences of students and teaching staff when conducting synchronous online teaching sessions or hybrid sessions when they had some face-face students and some online students joining sessions synchronously.
Literature is examined that shows the benefits relating to the use of ARS in synchronous online teaching sessions to include anonymity of student responses; enhancement of feedback between teaching staff and students; and teaching staff getting a better sense of student engagement during a session.
An analysis of the eight cases presented confirms these benefits in the literature from the perspective of the teaching staff. The findings apply irrespective of the ARS being used and will be of relevance and interest to any teaching staff seeking to improve the experiences of students and teaching staff involved in synchronous online teaching sessions.
Using Federated Learning for Collaborative Intrusion Detection Systems
Rizzato, Matteo; Laarouchi, Youssef; Geissler, Christophe (France)
https://doi.org/10.54808/WMSCI2023.01.320
ABSTRACT:
Neural networks have become cutting edge machine learning models for detecting network attacks. Traditional implementations provide fast and accurate predictions, but require centralised storage of labelled historical data for training. This solution is not always suitable for real-world applications, where regulatory constraints and privacy concerns hamper the collection of sensitive data into a single server. Federated Learning has recently been proposed as a framework for training a centralised model without the need to share data between different providers. We use the CICIDS2017 dataset provided by the Canadian Institute of Cybersecurity to demonstrate the benefits of Neural Networks-based Federated Learning for the detection of the most relevant types of network attacks. We conclude that a federated-trained neural network outperforms locally-trained models (at iso-architecture) in terms of F1-score and False Negative detection ratio. Further, such model has a minor loss of performance and convergence rapidity compared to a model trained over an hypothetical centralised dataset.
Using Trans-Disciplinary Communication in the Design of General Education Program Assessment: A Case Study
Reich, Jeremy P.; Lipuma, James M.; León, Cristo (United States)
https://doi.org/10.54808/WMSCI2023.01.122
ABSTRACT:
As part of the federally mandated accreditation process, higher education institutions must periodically assess the effectiveness of general education programs to ensure that students acquire and demonstrate certain essential skills, as defined by their regional accrediting bodies. Facilitating the design and implementation of this assessment process for continuous improvement requires institution-wide engagement and collaboration with faculty from the numerous disciplines that contribute to the general education program's curriculum. Trans-Disciplinary Communication (TDC) skills are essential for conducting such a complex initiative.
This paper will describe how TDC assisted in the success of this work. The lead author is the Assistant Director for Assessment and Accreditation at New Jersey Institute of Technology (NJIT), an R1 polytechnic university in the U.S.A. In this role, he was required to lead faculty and other stakeholders in redesigning and implementing a new process for assessing NJIT's General Education Requirements (GER) program outcomes. The GER assessment initiative has fostered engagement with faculty members across various colleges and departments, all contributing to the General Education Requirement (GER) program's curriculum. This engagement stems mainly from ongoing collaborations with three key groups: The Faculty Senate's GER Subcommittee, a dedicated GER committee located within the College of Science and Liberal Arts (CSLA) at NJIT, and a diverse group of assessment-focused faculty, staff, and administrators spread across the institution.
This case study has identified specific challenges that can be resolved through the implementation of effective TDC. An example of these challenges was effectively communicating the accreditation requirements, best practices, and the importance of assessing the general education curriculum to a diverse faculty. A literature review of relevant research into the challenges of working with diverse faculty on assessment issues as well as TDC tools and best practices relevant to these challenges, is included. The paper describes the processes implemented and how TDC facilitated progress as part of divulging and translating concepts from assessment across disciplinary boundaries. Finally, the authors present a clear set of conclusions that provide recommendations for others who might engage in this type of collaborative co-design utilizing TDC.
Young People Without Technology, Young People Without Access to Education: Experience of a Social Reward-Based Crowdfunding Campaign in Chile
Serrano-Malebrán, Jorge; Romaní, Gianni; Pulgar-Ramirez, Jessie; Ramirez-Ojeda, Ignacio; Rojo-Valenzuela, Kevin (Chile)
https://doi.org/10.54808/WMSCI2023.01.185
ABSTRACT:
During the COVID-19 pandemic, many university students did not have access to a personal computer, which was a fundamental tool for participating in courses and studying during the health contingency. In response to this issue, a group of students from the Entrepreneurship Seminar set the goal of launching a reward-based crowdfunding campaign to purchase computers for students at the Universidad Católica del Norte in Antofagasta, Chile. They managed to raise 26% of the total goal through the Idea.me crowdfunding platform, and an additional 12% through contributions from a strategic partner. The campaign successfully provided 11 university students with new computers and one with a refurbished computer. Other results showed that 52% of the population who contributed to the campaign were not familiar with this type of financing, 81% found the page secure, and 90% were very likely to contribute to similar initiatives in the future. Through this initiative, the students learned about the dynamics of crowdfunding through hands-on experience.
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