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International Institute of
Informatics and Systemics

Proceedings of the 14th International Multi-Conference on
Complexity, Informatics and Cybernetics: IMCIC 2023

PAPERS


A Future Prediction on the Human-Computer Interface

Cwiakala, Martin (United States)

https://doi.org/10.54808/IMCIC2023.01.121

ABSTRACT:
This paper proposes a concept, beyond the brain-computer interface, to a more general human-computer interface. Direct Neural imaging, or DNI, involves reading and imposing signals from and upon the nervous system. Humans, with their nervous system, are electrochemical beings. Understanding, reading, and manipulating these signals will become the standard human-computer interface protocol. While this is not currently accomplished, this paper presents various strains of research that, when evolved to a sufficient level, will inevitably lead to such technology. Thinking about the ramifications of such technology leads to some interesting questions regarding ethical concerns.

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A Review on Security and Privacy of Smart Cities

Alsaiari, Abdulhakim; Ilyas, Mohammad (United States)

https://doi.org/10.54808/IMCIC2023.01.88

ABSTRACT:
Smart cities are expected to provide better services to citizens and urban environments, and to enhance the quality of their daily life. By utilizing smart technologies, Smart cities can deal with the emerging urbanization issues and promote sustainable development. Despite this, security and privacy issues are considered an obstacle which can impact the success of such emerging technologies and smart systems in smart cities. However, to fully leverage the benefits of smart systems and promote their further development, it’s imperative to understand the security and privacy threats that weaken systems and make them vulnerable to be attacked. Motivated by these factors, this literature review provides a useful comprehensive combination of related literatures on smart cities challenges by technically analyzing various results. This review also discusses several components of smart cities such as transportation, governance, people, living, economy, innovative architecture, and associated knowledge and ideas. This paper also aims to critically examine various existing and deploying security and privacy protection methods for smart cities. Finally, we highlight several unresolved challenges and suggest future research possibilities and current security requirements, which may help building secured, privacy-protected, and stable smart cities.

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An Interdisciplinary Theoretical Framework to Examine Educational Television and Emotion Recognition in Children With Autism Spectrum Disorder

Ryan, Erin (United States)

https://doi.org/10.54808/IMCIC2023.01.234

ABSTRACT:
Previous research suggests that children 2-8 with Autism Spectrum Disorder (ASD) can learn skills like emotion recognition from media content like Thomas the Tank Engine. Whereas these researchers posited in their Hyper-Systemizing Theory that the reason for learning lies in idiosyncrasies related to ASD, this author contends that the manner in which the media is crafted is the key to success. To test this notion experimentally, an interdisciplinary "hybrid theory" specific to the learning needs of children with ASD is a necessary first step. This paper thus fuses elements from the following information processing theories with Hyper-Systemizing Theory to create such a hybrid theory: Cognitive Load Theory (CLT), the Limited Capacity Model of Motivated Mediated Message Processing (LC4MP), Capacity Model, and the Cognitive Theory of Multimedia Learning (CTML). The goal is to craft an interdisciplinary theoretical model to serve as the basis for future work in the area of ASD and learning from mediated content.

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Applicability of the Intelligence-Led Policing Model in Brazil: The Case of the Military State Police of Santa Catarina

Rossi, Rafael Wohlemberg; de Rolt, Carlos Roberto; Trevisan, Luis Antonio Pittol (Brazil)

https://doi.org/10.54808/IMCIC2023.01.45

ABSTRACT:
This article aims to discuss scientific issues and evidence regarding the policing intelligence-led model (ILP) in police institutions and its applicability in the organizational reality of the Military Police of Santa Catarina (PMSC). This is a theoretical-analytical study, with a qualitative approach, through a systematic and narrative review of national and international academic production. It was found that the research on the subject is still incipient in the Brazilian scenario, although space has been gained in several other countries, with a reasonable number of studies. The adoption of intelligence-led policing has the power to "unify" police work, enhance preventive action in public safety and improve the strategic management of police organizations.

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Arabic-English Machine Translation (MT) Quality: Exploring Researchers' Perspectives and Challenges

Alamri, Hayat; Al-Amri, Aisha (Saudi Arabia)

https://doi.org/10.54808/IMCIC2023.01.176

ABSTRACT:
This study examined how Saudi faculty members utilize DTPs and how they impact research and abstract translations. The researchers designed a six-dimensional questionnaire. Saudi faculty members prefer to consult translation experts, smartphone apps, and websites like Google Translate. The Kruskal-Wallis H test showed no statistically significant differences in participant translation quality satisfaction. The study concludes with practical recommendations and suggestions for further research.

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Autonomous Utility Vehicle Development by Using Depth Camera and Machine Learning

Perez-Perez, David; Gonzalez, Gilberto; Tansel, Ibrahim (United States)

https://doi.org/10.54808/IMCIC2023.01.128

ABSTRACT:
Machine vision is one of the most important components in autonomous systems. Autonomous vehicles process sensor data to identify objects, estimate their locations, and determine the proper path. Development of a multipurpose program is complex, expensive, takes ample time, and may have many bugs. In this study, Intel Realsense D455 depth camera was used to develop a navigation system for small utility cars. The camera was integrated with Robot Operating System (ROS) for data analysis and decision making. The D455 obtained images and calculated the distance of every pixel in the frame. A deep-learning neural network with custom-trained data was utilized to detect a test target’s bounding box. The obstacle avoidance algorithm detected objects' distances on the path from the depth information provided by the D455. The machine vision system calculated the proper path and operated the DC motors to drive the vehicle towards the target. The developed multipurpose machine vision system for utility vehicles was adopted to the Autonomous Asphalt Laying Machine (AALaM). In addition to the navigation, the asphalt feed and delivery components were also integrated to the ROS and the entire system worked successfully.

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Change Management and Enterprise Resource Planning (ERP) for Cloud Computing (CC) Services Based on Business Process Management (BPM): Case of an Oil Exploration Company

More Valencia, Rubén Alexander; Puicon Zapata, Hoower Augusto; Cruz Vilchez, Francisco Javier; Requena Flores, Rigo Felix; Agurto Marchán, Winner (Peru)

https://doi.org/10.54808/IMCIC2023.01.38

ABSTRACT:
The dynamics of operational systems by time makes, applications and programs that are in use, become obsolete for handling information, proposals for a planning of changes, with business resources, and invest in scalability of data to information, solutions to failures by modular practice, new management processes in financial and accounting processes. The planning and execution of the integral management of the business was studied, the results show that, the highest values of investment in SAP and ERP consulting for the implementation is 54.08% of the initial budget, but in the execution the representation decreases in -1.63%, the behavior of the license service by application subscription, determines a 21. 01% as additional payroll, with a percentage variation decreased by -2.79%, the participation by reasonableness of these items indicates decreases, however, increases are observed in services for consulting in DSN, and the management of requirements of the IT area with increases of 2.17% and 1.09% respectively. Balances are achieved even if there are additional processes, but they require increases in professional work, which applies as a direct effect and influence as decision capabilities, in situations, problems, changes and transformations that were not foreseen, critical in value and effectiveness.

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Cloud-Based Services and Recommendations

Blair, Risa (United States)

https://doi.org/10.54808/IMCIC2023.01.98

ABSTRACT:
There are clear differences between threats, vulnerabilities, and risks. It is essential to understand the differences to have such discussions with clients. This paper will address using web-based applications for videos needs and understanding the threats, vulnerabilities, and risks of hosting their application on the cloud. Major threats and vulnerabilities with Web applications will be presented so as to provide a clear picture as to what is required to have comfort with a company hosting applications in the cloud. Cloud adoption has led to an increased need for managing security risks within dynamic environments. With multi-cloud architectures, organizations may become overwhelmed by the large number of services that require securing, potentially leading to a single misconfiguration in one service resulting in a serious data breach. However, it is impossible to avoid human errors, and automation is required to manage security gaps effectively. To address these unique cloud security risks, a continuous and automated approach is necessary. Organizations can establish a security strategy to follow as they move to the cloud, and there will be guidelines presented to secure multi-cloud infrastructure.

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Comparing Real Time Student Situational Engagement in Traditional and Active Learning Classroom Using Non-invasive Electrodermal Measurements

Kozanitis, Anastassis (Canada)

https://doi.org/10.54808/IMCIC2023.01.133

ABSTRACT:
Active learning pedagogies are part of an ongoing effort from instructors to generate a strong student engagement towards learning. When used exclusively, or when combined with traditional lecturing, such teaching methods have shown to increase student situational engagement. Because of its fluctuating nature, traditional methods for measuring situational engagement, such as questionnaires and semi-structure interviews, have important limits. Available non-invasive neurophysiological technologies for in situ use, allow to overcome these difficulties. This study used electrodermal activity (EDA) sensors embedded in the E4 Empatica bracelet, a non-invasive watch-like device, that measures skin conductivity in real time. Fluctuations in participants electrodermal activity capture degrees of variation of students’ situational engagement. Data was collected between week 6 and week 11 of the winter semester for 2 groups (1 active learning, 1 traditional lecturing). Results show that EDA levels are generally higher for students in active learning classroom when compared to those from the traditional lecture classroom.

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Cross-Cultural Online Networking Based on Biomedical Engineering to Motivate Transdisciplinary Communication Skills (Invited Paper)

Hashimoto, Shigehiro (Japan)

https://doi.org/10.54808/IMCIC2023.01.242

ABSTRACT:
It is not possible to understand the whole with only a specialized field. The content is not always correctly conveyed to non-specialists. In this study, based on students’ awareness of preparing for the future under a pandemic, understanding of the utility of masks against infectious diseases, and the transition of students’ daily behavior under a pandemic, a student group activity was carried out with the theme of “designing tools and systems to contribute to social life in pandemic”. In addition, to motivate students to improve their transdisciplinary communication skills, cross-cultural online networking was carried out based on biomedical engineering as a multidisciplinary field.

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Data-Driven Security Measurements to Improve Safety in NYC and NJ Mass Transit

Nalluri, Nithya; Bsales, Michael; Nelson, Christie (United States)

https://doi.org/10.54808/IMCIC2023.01.72

ABSTRACT:
Public transit in America in recent years is potentially vulnerable to terrorist or mass casualty attacks. These vulnerabilities are in part due to the lack of strict screening and content policing, unlike security at airports, but also their attractiveness as a potentially high-value target. Although current public transit systems are designed to efficiently allow passengers to quickly travel, screening of individual riders for weapons remains limited due to current technology limitations and high throughputs. This paper aims to develop an understanding of the current state of security check systems as applicable to high-traffic subway stations. We also worked towards creating a proof-of-concept risk analysis model using crime and other types of publicly available data for the New York City and New Jersey transit regions.

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Defect Inspection and Detection in Solar Panels Using Image Sensing Technology: A Systematic Mapping Study

Méndez-Porras, Abel; Alfaro-Velasco, Jorge; Jiménez-Delgado, Efren (Costa Rica)

https://doi.org/10.54808/IMCIC2023.01.64

ABSTRACT:
The use of photovoltaic technologies quickly became popular. Defects that affect power generation in solar panels have been identified. It’s well known that external conditions can affect the performance of solar panels. As its use becomes more widespread, mechanisms are needed to keep it working optimally. We performed a systematic mapping study of the published literature and included 171 papers. This study identified the approaches and techniques that the literature has addressed to defect inspection and detection in solar panels using image sensing technology. The use of computer systems and image analysis technologies to detect faults or external factors that affect the operation of photovoltaic panels, represent efficient alternatives to reduce time, personnel dedicated to inspections and increase efficiency in fault detection.

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Deformation Direction of Cells Related to Passing Velocity Through Microgap

Hashimoto, Shigehiro; Uehara, Shogo; Kurihara, Ayaka (Japan)

https://doi.org/10.54808/IMCIC2023.01.12

ABSTRACT:
The deformation direction of cells related to the passing velocity through a microgap has been investigated in vitro. The microgap (7 μm high, 0.4 mm wide, and 0.1 mm long) was manufactured between the ridge and the groove in the micro flow-channel by photolithography technique. Myoblasts (C2C12: mouse myoblast cells) were used in the experiment. The flow rate of the medium fluid, in which cells were suspended, was varied by the pressure head between the inlet and outlet. The deformation of each cell passing through the micro gap was observed with an inverted phase-contrast microscope. The two-dimensional projected image was tracked using “ImageJ”. The experimental results show that cells increase the velocity with deformation. Some cells tend to make elongation to the flow direction.

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Detection Techniques on the Internet of Things (IoT): A Survey of Current Challenges and Open Issues

Alrefaei, Ahmed; Alotaibi, Yazeed; Ilyas, Mohammad (United States)

https://doi.org/10.54808/IMCIC2023.01.51

ABSTRACT:
While the world’s population is increasing each year, the reliability of technologies and their services is growing as technologies have become one of the necessities of our daily lives. Recently, we have witnessed remarkable development in communication and micro-controller technologies that have led to the concept of the Internet of Things (IoT), which includes millions of devices connected to communicate and exchange data to build an intelligent world. The IoT is an ecosystem that enables smart web devices that use integrated systems such as sensors, communication technologies, and processors to transform, process, and exchange obtained data. Moreover, there have been considerable advancements in the IoT that allow devices to communicate and connect to exchange and transfer data over IoT networks. Although the IoT has made remarkable developments in several fields, the IoT is facing significant challenges in terms of protecting and securing IoT devices and related intelligent systems. These devices handle and generate large amounts of data, so providing suitable security measures and requirements is essential to protect security and privacy. While cyber-attacks and incursions are becoming increasingly sophisticated with different techniques and strategies, applying artificial intelligence through machine learning to prevent and detect these attacks by automating security processes is essential. In this paper, we survey and examine IoT security in terms of detection through machine learning and explore some of the datasets that have been used. Also, this paper highlights open issues, challenges, opportunities, and solutions.

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Effect of Cell Velocity on Dielectrophoretic Movement in Microchannel

Ono, Ryuya; Hashimoto, Shigehiro; Minato, Takuma (Japan)

https://doi.org/10.54808/IMCIC2023.01.23

ABSTRACT:
Dielectrophoresis was tried to be applied to the cell sorting technology in previous studies. In the present study, the movement of mouse myoblast cells flowing through the perpendicular electric field in the micro channel has been analyzed in vitro. A pair of asymmetric surface electrodes of titanium were manufactured by the photolithography technique: a triangular electrode with the tip angle of 0.35 rad, and a rectangular electrode of the flat edge as the reference. The cyclic alternating electric current of the square wave with the period of 0.3 μs was introduced between the surface electrodes to induce the asymmetric electric field perpendicular to the main flow direction. The suspension of cells (C2C12: mouse myoblast cell line) was injected into the flow channel, and the flow rate was controlled by the pressure head between the inlet and the outlet. The experimental result shows that the shifted dielectrophretic movement of the flowing cell in the direction perpendicular to the medium flow decreases with the increase of the flow velocity.

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Effect of Force Field Direction on Elongation of Myoblast

Hashimoto, Shigehiro; Kishimoto, Kazuya (Japan)

https://doi.org/10.54808/IMCIC2023.01.7

ABSTRACT:
The effect of force field on elongation of a cell has been studied in vitro. The stripe-pattern ridges (0.7 μm height, 3 μm width, and 3 μm interval) was made on the surface of the scaffold plate. Variation was made on the angle between the longitudinal direction of the ridge and the direction of the force field by centrifuge: 0 degrees, 45 degrees, and 90 degrees. Myoblast (C2C12: mouse myoblast cell line) was used in the experiment. After the centrifugation of 50 G or 100 G for 5 hours, the behavior of each cell (migration velocity, rate of area change, and length including pseudopodia) has been tracked by the microscopic time-lapse two-dimensional projected images for 200 minutes. Every cell made elongation along the stripe-pattern ridges. Experimental results show relatively low activity of cell elongation in the 0 degrees region. The results would be applied to accelerate the formation of engineered tissues.

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Effect of Wall Shear Stress on Myoblast Orientation Distribution

Yonezawa, Hiroki; Hashimoto, Shigehiro; Ono, Ryuya (Japan)

https://doi.org/10.54808/IMCIC2023.01.29

ABSTRACT:
The effect of wall shear stress on the orientation of cells was examined in vitro. Couette-type shear flow device was made between the lower fixed culture plate and the upper rotating disk with a fixed gap. After 24 hours of no-flow culture to allow cell attachment to the lower culture disc, shear stress of 2 Pa or less was continuously applied to the mouse myoblasts (C2C12) for 24 hours in the incubator. The behavior (deformation and major axis angle) of each cell was tracked by time-lapse images observed with an inverted phase contrast microscope placed in the incubator. At a shear stress of around 1 Pa, cells tend to orient parallel to the shear stress direction. Around 1.4 Pa, several cells tend to deviate from the shear stress direction. Around 1.8 Pa, the cell is widely distributed at various angles. Cells tend to grow longer in the higher shear stress field in all directions, regardless of the direction of shear stress below 2 Pa. The experimental results would be applied to control the orientation of cells in the engineered tissue.

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Efficient Minimization of the Probability of Software Errors Migration Within the SDLC

Nenov, Hristo; Djambazoff, Phil (Bulgaria)

https://doi.org/10.54808/IMCIC2023.01.79

ABSTRACT:
This paper presents an early bird approach for prevention of software errors in the process of development within the Software Development Life Cycle. A problem description and solution proposal to the latter provide insights of the contemporary and common case which many businesses face today.

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Graffiti, Migrant Women, Intersectionality: Artistic Experiences in Portugal

Hoefel, Maria da Graça Luderitz *; Moura-Vieira, Maria Edna **; Alves-Hopf, Simone ***; Freire Filha, Lindomar Guedes *; Guerra, Paula **** (* Brazil, ** Spain, *** Germany, **** Portugal)

https://doi.org/10.54808/IMCIC2023.01.201

ABSTRACT:
The latest world events have impacted the socioeconomic and artistic life of migrants (pandemic, wars and climate change). The feminization of migration has caused a change in the profile of migrant women. These migrant women have been suffering countless experiences that denounce iniquities, some expressed through graffiti art. Objective: To analyze the artistic experiences, resistance to differences and oppression of gender, social class, race and nationality, experienced by a female graffiti artist migrant in the context of COVID-19 in Portugal. Method: Study carried out through action research, netnography and oral history, in dialogue with some concepts: Coloniality, Decoloniality, Intersectionality, Migration, Art. Results: The artist's individual work is present on the walls of Lisbon, portraying peoples in diasporas in different contexts, through aesthetics that reveal Angolan matrices, gender oppression, social class, race and nationality; The artist's collective work has interfaces with social, political and cultural dimensions; During the pandemic, the artist reinvented herself to survive. Conclusion: The artist's work is inserted in the globalized world, where nationality has no borders, bringing to light the colonial discourse that hierarchies society in race, gender and nationality, reverberating power relations, oppression, intersectionality in an aesthetic and political way.

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Higher Education Students' Motivations to Choose Bilingual Courses in Tourism Management

Liu, Yuan Yuan *; Lace, Natalja *; Koleda, Nadezda *; Chen, Lu Lu ** (* Latvia, ** China)

https://doi.org/10.54808/IMCIC2023.01.149

ABSTRACT:
Course selection is the starting point for university students' learning, which is related to students' future ability development. Clear motivation of course selection helps students to form accurate expectations, so as to optimize the process of course selection. This research has been carried out in universities of China, examining tourism management majored bachelor students’ motivations to choose bilingual courses in tourism management. With an effective sample of 68 in-depth interviews from 19 universities of 6 provinces of China, this research employs bachelor students who studies tourism management major and taking tourism management related bilingual courses (in Chinese and English). This research reveals students’ motivations of selecting bilingual courses. Therefore, suggestion and implications are provided for course and teaching revolution of the bilingual courses in the tourism management domain.

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How Video Injection Attacks Can Even Challenge State-of-the-Art Face Presentation Attack Detection Systems

Carta, Kévin; Huynh, André; Mouille, Stéfane; El Mrabet, Nadia; Barral, Claude; Brangoulo, Sébastien (France)

https://doi.org/10.54808/IMCIC2023.01.105

ABSTRACT:
Owing to the digitization of our society, recently rushed by COVID 19 pandemic, remote biometrics, particularly facial recognition, are emerging in plenty of applications that require authentication at distance. These sensitive applications, mostly used in banking, governmental, or insurance domains, are threatened by the well-known presentation attack threat but also by video injection attacks (modification of the images taken by the camera by the attacker), which are now more accessible to fraudsters as devices are not scrutinized and under their control. We will see in this paper that even a simple photo can fool state-of- the-art biometric attack detection systems. Thus, we will give recommendations to avoid the usage of video injection attacks by malicious applicants.

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Infrastructure Funding Gap in Baltic States

Matisone, Anita; Lace, Natalja (Latvia)

https://doi.org/10.54808/IMCIC2023.01.162

ABSTRACT:
It is wildly acknowledged that the infrastructure level significantly impacts any country's economic growth perspectives and social welfare. The development and even maintenance of the existing infrastructure require high financial investments with a long repayment period. Also, to limit monopoly in the infrastructure networks, there is a line between a free market and a regulated market providing these services. Therefore, infrastructure finance is very complex.
The Baltic States substantially benefitted from EU Cohesion money in improving and maintaining their infrastructure in the last decades. The shift in EU funding priorities (starting from the planning period 2021-2027) from the traditional infrastructure projects to supporting smarter and greener investments, besides other factors, will lead to a substantial funding gap. The study is devoted to assessing the amount of necessary funding in the Baltic States and identifying the factors which could potentially attract more private investors in the infrastructure projects in Baltics.

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Integrating Quantum Computing into De Novo Metabolite Identification

Tsai, Li-An; Nuckels, Estelle; Wang, Yingfeng (United States)

https://doi.org/10.54808/IMCIC2023.01.84

ABSTRACT:
Tandem mass spectrometry (MS/MS) is a widely used technology for identifying metabolites. De novo metabolite identification is an identification strategy that does not refer to any spectral or metabolite database. However, this strategy is time-consuming and cannot meet the need for high-throughput metabolite identification. Böcker et al. converted the de novo identification problem into the maximum colorful subtree (MCS) problem. Unfortunately, the MCS problem is NP-hard, which indicates there are no existing efficient exact algorithms. To address this issue, we propose to apply quantum computing to accelerate metabolite identification. Quantum computing performs computations on quantum computers. The recent progress in this area has brought the hope of making some computationally intractable areas trackable, although there are still no general approaches to converting regular computer algorithms into quantum algorithms. Specifically, there is no efficient quantum algorithm for the MCS problem. This study explores the feasibility of integrating quantum computing into de novo metabolite identification. The MCS problem can be considered as the combination of many maximum spanning tree problems that can be converted into minimum spanning tree problems. This work applies a quantum algorithm designed for the minimum spanning problem to speed up de novo metabolite identification.
Applying quantum computing to solve bioinformatics problems is challenging. It requires knowledge of several areas, such as computer science, quantum computing, and biology. However, conducting this type of research will help students build an interdisciplinary mindset. Therefore, we attempt to design an undergraduate research project for applying quantum computing to identify metabolites without referring to any database. This project provides opportunities for undergraduate students to learn computer programing, algorithm design, quantum computing, quantum algorithm design, and de novo metabolite identification. After students are familiar with these areas, they are guided to identify the potential ways of solving the identification problem by converting problems and searching literature. Böcker et al. have converted the original identification problem into the maximum spanning tree problem. While there is no existing quantum algorithm for the maximum spanning tree problem, there is an existing quantum algorithm for the minimum spanning tree problem. Students find a simple way to convert the maximum spanning tree problem into the minimum spanning tree problem. Carrying out this project does not only provide the path for further accelerating de novo metabolite identification by using quantum computing, but also assists in gaining experience in boosting undergraduate interdisciplinary research.

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IoT Big Data Privacy Using Blockchain Technology: A Survey

Balhareth, Ghaida; Alsolami, Theyab; Ilyas, Mohammad (United States)

https://doi.org/10.54808/IMCIC2023.01.58

ABSTRACT:
With the rapid growth of the Internet of Things (IoT), a large amount of data that increasingly created by IoT devices and exchanged among devices. IoT applications span many sectors, including Smart Homes, Smart Cities, Agriculture, Autonomous Cars, and Healthcare. Security and privacy of sensitive IoT big data are fundamental aspects of IoT networks. Using blockchain technology in IoT applications can significantly improve the privacy protections of sensitive data. This can also enhance data management processes, preventing unwanted data leaks, tampering, and other privacy aspects. This paper provides a detailed survey of blockchain technology and how Blockchain, the underlying technology of bitcoin, can be a crucial enabler in addressing numerous IoT privacy aspects. In addition, some of the major privacy challenges for IoT are also present.

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Measurement of Repetitive Contractile Movement of Myotubes by Markers on Scaffold Film

Endo, Yoshiaki; Hashimoto, Shigehiro (Japan)

https://doi.org/10.54808/IMCIC2023.01.1

ABSTRACT:
The repetitive contractile movement of myotubes has been measured by markers on the scaffold film. The scaffold was made of a thin polydimethylsiloxane film (thickness of 6 μm), of which the back side had arrangement of micro-protrusions (4 μm diameter, 2 μm height, interval 30 μm) made by the photolithography technique. Mouse myoblasts (C2C12) were cultured to be differentiated into myotubes on the scaffold for 10 days. The movement of matrix pattern of micro-markers on the rear side of the thin film has been tracked associated with the repetitive movement of myotubes under the cyclic electric pulse stimulation in vitro. Comparison was made related to the movement of myotubes in several areas. The difference of contractile movement patterns of myotubes layer can be detected by the movement (distance and direction) of matrix pattern of markers.

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Measuring Explicit and Valuing Tacit Synergies of High-Tech Based M&A Deals: From Real Options Perspective

Čirjevskis, Andrejs (Latvia)

https://doi.org/10.54808/IMCIC2023.01.143

ABSTRACT:
The paper aims to justify that an explicit competence-based synergy can be foreseen with the ARCTIC framework and tacit synergies can be valued by real options application. The current paper makes several theoretical and empirical contributions to strategic management and corporate finance. Regarding the contribution to strategic management discipline, an application of the ARCTIC framework goes beyond the application of VRIO resources to the operation of an individual corporation in individual foreign countries and, hence, contributes to a resource-based view of strategy in an international context. Moreover, having explored the recent acquisition of Souq.com by Amazon.com, the paper has illustrated how tacit competence-based synergies of M&A deals can be measured with real options application techniques valuing market value-added of the collaboration. In the end, the paper discusses theoretical and empirical contributions, limitations to the application of real options valuation, and future research work.

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Meta-Disciplinarity of Digital Education and Communication

Makhachashvili, Rusudan; Semenist, Ivan (Ukraine)

https://doi.org/10.54808/IMCIC2023.01.209

ABSTRACT:
Dynamic transformation of the knowledge economy, enhanced by Industry 4.0/5.0 development and rise of the networked society in the Digital Age, emergency digitization of all social communicative spheres due to pandemic measures have imposed dramatic changes onto transdisciplinary overlap in different areas of human knowledge and experience, induced by the cross-sectorial job market demands of university level education, curriculum design and learning outcomes.
The Covid-19 pandemic induced amplified digitalization measures in the higher education sphere. This end-to end digital shift in the educational processes (communication, content, outcomes and outputs, skills) heralded the introduction of meta-disciplinary dimensions of learning – digital, hybrid and, blended. These meta-disciplinary dimensions can be considered conduits of vertical (endocentric) and horizontal (exocentric) transdisciplinary of digital education as a communicative system.
Applied meta-disciplinary lens contributes to the solution of holistic modeling of processes and results of updating models and mechanisms of the highly dynamic communication system of education in the digital environment as a whole and its individual formats in the emergency digitization measures of different types.

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METAVERSE for Destination Marketing in the Era of Great Changes

Liu, Yuan Yuan *; Lace, Natalja *; Chen, Lu Lu ** (* Latvia, ** China)

https://doi.org/10.54808/IMCIC2023.01.156

ABSTRACT:
As a simulation and preview of the real universe, METAVERSE can be applied to promote the exploration of the real world, while tourism as a way to explore the distant real world is irreplaceable. With the application of 5G, Artificial Intelligence, AR, VR and other technologies, the tourism scene is no longer that traditional. The digital transformation of the tourism industry has become the trend, and the self-substitution and immersive and non-delay social experience are becoming a new consumption choice for tourists. In the context of the era of great changes, the combination of METAVERSE and tourism destination marketing is an important way to promote the development of tourism wisdom. This paper aims to explore the integration of METAVERSE and destination marketing to promote the development of tourism, especially during the era of great change. This study reveals a model of values of METAVERSE from marketing perspective and applies the model in tourism destination marketing domain. Zhangjiajie scenic attraction, one of the most famous tourism destinations in China adopting METAVERSE for its destination marketing, has been studied.

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Movement of Cell Flowing Over Oblique Microgroove

Moriizumi, Natsuki; Hashimoto, Shigehiro; Uehara, Shogo (Japan)

https://doi.org/10.54808/IMCIC2023.01.17

ABSTRACT:
The bumping movement of the cell flowing over the oblique microgroove has been analyzed in vitro. The micro flow-channel (0.05 mm high, 1 mm wide, 25 mm long) with grooves (4.5 μm deep) has been manufactured of polydimethylsiloxane (PDMS) by micromachining technique. The angle between the main flow direction and the longitudinal axis of the groove was 45 degrees. Variation has been made on the width (0.03 mm, 0.04 mm, and 0.05 mm) of the groove. Myoblast (C2C12: mouse myoblast cell line) was used in the test. A main flow velocity (0.5 mm/s < vc < 3 mm/s) of the medium was controlled by the pressure difference between the inlet and the outlet. The centroid of each flowing cell was tracked on the movie recorded by the camera attached on the eyepiece of the microscope. The experimental results show that the flowing direction of the cell changes when it is passing over the oblique groove. The flowing direction change of a cell depends on the flowing velocity of the cell and the width of the groove. The micro flow-channel with microgrooves has potential to be applied to sorting cells.

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Pragmatic Measures of Information Quality for Changing Activity Success in Systems

Geyda, Alexander (Russian Federation)

https://doi.org/10.54808/IMCIC2023.01.194

ABSTRACT:
The article discusses the problem of information quality measurement from a multidisciplinary perspective, focusing on its pragmatic aspect in terms of information use in systems. It is proposed that mathematical models be used to estimate the quality of information based on its impact on system functioning. The author suggests possible sequences of complex states and transitions, described by diagrammatic and formal models, and uses these models to calculate quantitative measures of success for information use in systems. The author identifies several interrelated research directions in this area. The article presents a new approach to solving the problem of information quality assessment based on mathematical models and methods.

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Primary Healthcare Face to the Long COVID-19 Syndrome: Building Comprehensive Care Bridges

Alves-Hopf, Simone *; Moura Vieira, Maria Edna **; Hoefel, Maria da Graça Luderitz *** (* Germany, ** Spain, *** Brazil)

https://doi.org/10.54808/IMCIC2023.01.183

ABSTRACT:
Primary health care (PHC) has been heavily affected by the pandemic caused by SARS-CoV-2 and has also been critical in the care of patients with the Long COVID-19 syndrome. Objective: Understanding the mechanisms developed to improve management (patient referral and counter-referral) in the comprehensive care of patients with the Long COVID-19 syndrome, in dialogue with the Brazilian and German primary health systems. Methods: This integrative review conducted by PubMed and Web of Science allowed a brief theoretical and exploratory discussion of the management of the Long COVID-19 syndrome. Results: The Long COVID-19 syndrome damages multiple organs; The management of the patients should be based on multimodal and biopsychosocial models; Brazilian and German health systems have some strengths. However, although primary health coverage seems to be growing in both countries, it is still possible to observe challenges related to the digitalization of health systems and availability of financial resources; Primary care plays an important role in comprehensive care of patients. Conclusion: It is necessary to have a professional understanding of the pathophysiological processes of this disease, develop guidelines for the appropriate and effective management of symptoms, create patient referral and counter-referral strategies, and consider local, national, and territorial peculiarities.

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Promoting Trustworthy News Through iTV Notifications

Encarnação, João; Velhinho, Ana; Bentes, Simão; Silva, Telmo; Abreu, Jorge; Santos, Rita (Portugal)

https://doi.org/10.54808/IMCIC2023.01.125

ABSTRACT:
The growth of social media and user-targeted information reinforces the need to check sources to prevent the dissemination of unreliable content [1]. In this context, an innovative solution is presented based on the established proliferation of news notifications and the potential identified in the TV ecosystem since it connects multiple devices such as over-the-top (OTT) platforms and mobile devices. The proposed approach aims to send news notifications with a high index of credibility through television.

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Survey for Security in IoT in e-Healthcare

Alsolami, Theyab; Balhareth, Ghaida; Ilyas, Mohammad (United States)

https://doi.org/10.54808/IMCIC2023.01.94

ABSTRACT:
Internet of Things (IoT) has tremendously contributed to advance and improve healthcare. This is because IoT makes all the healthcare devices, interact with each other in a very sophisticated way. This also provides an elaborate platform to collect healthcare information, analyze it, and share the results. This paper presents an electronic healthcare is a network consisting of sensors, tools, actuators, and control units that interact with each other without human intervention or supervision using internet of things (IoT). Also, the security concerns of IoT users within electronic health care, Legal Underpinnings of Security in IoT Environments, and the contributing factors to security challenges in IoT environments.

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The Analogical Way: How Blind People Used to Do Mathematics Before the Computer Era

Mele, Michele; Sicignano, Gennaro (Italy)

https://doi.org/10.54808/IMCIC2023.01.35

ABSTRACT:
This paper provides a brief history of the tools that people with low or no sight have used throughout the centuries to study or produce mathematical results before modern technologies, such as computers and screen-readers, were invented and changed the way people with visual disabilities approach the subject. Blind or partially sighted people who wanted to do mathematics have often created new tools and methodologies for themselves, often keeping them private for long periods, but eventually revolutioning the mathematical education and research with their inventions, many of which provided the inspiration for the technologies we have today.

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The Future of Upskilling: Human- and Technology-Centered

Beichter, Tim; Kaiser, Manuel (Germany)

https://doi.org/10.54808/IMCIC2023.01.190

ABSTRACT:
The technological progress, social and value change, sustainability, and climate change are few examples for current key drivers of transformation processes to which organizations are exposed. Due to the increasing speed of these changes, many employees may no longer apply the specialist knowledge they have acquired during their vocational education throughout their entire work life. Existing knowledge must be kept up to date, and new knowledge must be acquired to be competitive in the job market of the future. Against this background, the relevance of continuing education (upskilling) in the professional environment is increasing. Therefore, our aim with this article is to reflect on the future of upskilling and how it should respond to the challenges described above. In doing so, we identify three focal fields of action: First, new technologies and emerging trends should be the starting point for upskilling activities, as they lead to both new education content as well as new didactic learning formats. Second, organizations and humans (the learning employees) should be placed at the center of future upskilling activities. Humans are individuals with different levels of knowledge and skills as well as different learning behaviors. Third, there should be a closer connection between research and the practice of upskilling to transfer scientific findings quickly and easily into new and innovative learning formats.

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The PISA Model: A Common Data Security Model for the Industrial Internet of Things (IIoT) Information Systems

Ward, Gerard; Janczewski, Lech (New Zealand)

https://doi.org/10.54808/IMCIC2023.01.113

ABSTRACT:
The Industrial Internet of Things (IIoT) describes a transdisciplinary Information System (IS) that integrates the previously discrete domains of Information Technology (IT) and Operational Technology (OT), as well as relatively more recent innovations such as Artificial Intelligence (AI). The IIoT requires a fidelity of data to support the orchestration of autonomous processes which may include the control of safety-critical tasks which were historically the province of OT. The data created and consumed by the IIoT IS may also be subject to privacy and regulatory considerations, particularly in use-cases centered on people, such as autonomous vehicles and smart cities.
These IS domains that makeup the IIoT have different architectures, lexicons, and priorities. To contribute to the IIoT risk governance processes that the emergent and complex IIoT paradigm requires, this research builds on previous work to present a generalized data security model relevant to the IIoT ensemble, which is referred to as the PISA Model. The acronyms in this novel PISA Model relate to the controls that support Privacy, Integrity, Safety, and Availability. The model was refined over three Delphi rounds by a transdisciplinary panel of experts. The PISA Model can contribute to the safe and secure operation of the IIoT IS by assisting the identification of both safety-critical and business-critical data risk.

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Tourism Education on Sustainability Through an International Short Film Festival

Nakabasami, Chieko; Masuko, Miho (Japan)

https://doi.org/10.54808/IMCIC2023.01.221

ABSTRACT:
In this paper, we report on the Toyo University Tourism Short Film Festival, which has been held yearly since 2020, and discuss how managing the festival is effective for sustainable tourism education from a transformative learning perspective. Transformative learning theory was advocated in 1978 by Jack Mezirow. From a transformative learning perspective, students are thought to internally reflect on sustainable tourism through the experience of managing a short film festival. This paper indicates how the students have been revising and improving their learning on sustainable tourism before, during and after the festival. The effectiveness of the interdisciplinary process between tourism education and film festival management is also shown through interviews with 10 student workers who participated in the festival.

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Transdisciplinary Communication in the Meta-Framework of Digital Education

Makhachashvili, Rusudan; Semenist, Ivan (Ukraine)

https://doi.org/10.54808/IMCIC2023.01.215

ABSTRACT:
Dynamic transformation of the knowledge economy, enhanced by Industry 4.0/5.0 development and rise of the networked society in the Digital Age, emergency digitization of all social communicative spheres due to pandemic measures have imposed dramatic changes onto transdisciplinary overlap in different areas of human knowledge and experience, induced by the cross-sectorial job market demands of university level education, curriculum design and learning outcomes.
The global pandemic and subsequent warfare in Ukraine induced amplified digitalization measures in the higher education sphere. This end-to end digital shift in the educational processes (communication, content, outcomes and outputs, skills) heralded the introduction of meta-disciplinary dimensions of learning – digital, hybrid and, blended. These meta-disciplinary dimensions can be considered conduits of vertical (endocentric) and horizontal (exocentric) transdisciplinary of digital education as a communicative system.
Applied trans-disciplinary lens of the phenomenological approach contributes to the solution of holistic modeling of processes and results of updating models and mechanisms of the highly dynamic communication system of education in the digital environment as a whole and its individual formats in dynamic sustainable and emergency digitization contexts.

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Understanding Corporate Sustainability Drivers Across Corporate Life Cycle

Zumente, Ilze; Lāce, Natalja (Latvia)

https://doi.org/10.54808/IMCIC2023.01.168

ABSTRACT:
Environmental, social, and governance (ESG) drivers refer to the factors that can affect a company's performance and decision-making processes in relation to its impact on the environment, its treatment of stakeholders such as employees and customers, and its adherence to good governance practices. These drivers can change based on a company's life cycle stage, as the priorities and challenges facing a company can vary significantly at different stages of its development. This research presents an innovative approach to determining the relevant ESG drivers across corporate life cycle stages using Analytical Hierarchy Process (AHP). The results obtained from surveying 25 experts representing Baltic region indicate that AHP is a viable tool to measure the relative significance of ESG catalysts and illustrate that there exist different sets of drivers which have an impact on ESG enactment decisions at different times of a firm's evolution.
This study offers an overview for decision makers who are trying to distinguish and prioritize ESG drivers with an aim to achieve a more extensive ESG implementation in the emerging economies.

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University-Business Collaboration as a Mean to Enhance the Development of Competences 4.0

Poszytek, Paweł; Fila, Jadwiga; Jeżowski, Mateusz (Poland)

https://doi.org/10.54808/IMCIC2023.01.139

ABSTRACT:
This paper elucidates the notion of competences 4.0, proposes how to evaluate universities’ abilities to provide environment necessary to develop such competences among their students and staff and discusses how to measure the current state of collaboration between the world of education and the world of business with respect to competence development. The authors also focus on the digital transformation in higher education institutions and on means to measure whether universities provide sufficient environment for the development of 4.0 competences on two examples: the Quality Label for the Standard in Developing the Competences of the Future and the Index of Higher Education - Business Engagement (HEBE Index).

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Young Children With Autism Spectrum Disorder Learning Emotion-Recognition From Animated Media Content

Ryan, Erin (United States)

https://doi.org/10.54808/IMCIC2023.01.227

ABSTRACT:
Research suggests that children with Autism Spectrum Disorder (ASD) can learn executive functioning (EF) skills like emotion-recognition from media content such as Thomas the Tank Engine. Whereas those researchers posited the reason for such learning lies in idiosyncrasies related to ASD itself, this author argues the way media is crafted is the key element in determining successful learning. An interdisciplinary approach is needed to uncover how children with ASD can best learn from mediated content, especially regarding EF skills. By bridging Autism research with communication research, best practices for creating media content to teach EF skills to young children with ASD can be cultivated. A hybrid theory of cognitive capacity and multimedia learning by high-systemizers, in which elements from four theories focusing on working memory and the limitations of the cognitions of the viewers (Cognitive Load Theory, Limited Capacity Model of Motivated Mediated Message Processing, the Capacity Model, and the Cognitive Theory of Multimedia Learning) were combined, indicates that content creators must keep things simple in order to make a mediated character accessible to children with ASD. A small survey of parents of children with ASD bears this out; parents were asked about their child's relationship with media, what has been successful in their home, whether there are favorite programs/characters, and whether they believe their children are learning EF skills from media. Results indicated parents believe their children have special relationships with mediated characters they cannot duplicate with people. Some parents noted their children displaying better emotion-recognition after viewing. The formal characteristics of favorite programs indicate support for the hybrid theory of cognitive capacity and multimedia learning by high-systemizers.

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