bluuebunny/crossref_metadata_2025 huggingface dataset:
Designing an Instruction for Reading Comprehension Using Gallery Walk Technique
Authors: Herawati Sukma , Ikhsanudin Ikhsanudin , Surmiyati Surmiyati , Bunau Eusabinus
Published: March 2024

This research was conducted to design an instruction for reading comprehension class on descriptive text using gallery technique. The method of this research was design and development research. The researcher was done by three phases of ADDIE from Branch (2009) as the procedure, which are Analyzing, Designing, and Developing. In the analyze phase, the researcher interviewed the English teacher and the tenth-grade students. In the design phase, the researcher observed the curriculum applied in the school to design the product, collected and selected the reading text from the textbook, and images from the internet. In the develop phase, the researcher combined the materials using PowerPoint Presentation. The researcher applied an assessment rubric for Expert Validation to validate whether the final product is usable or not. In conclusion, it is found that the instruction of using gallery walk technique for reading comprehension class on descriptive text is usable to support the process of teaching and learning reding comprehension on descriptive text to the tenth-grade students.Keywords: Design and Development Research, Reading Comprehension, Descriptive Text
Investigating The Use of Social Media to Learn Listening Skill in Academic Context
Authors: Batubara Imaduddin M.Farhan , Pramasta Wiku , Rahmani Eka Fajar
Published: March 2024

The study aims to identify the social media platforms commonly utilized by students and analyze the specific media outlets preferred for educational purposes. Employing a descriptive research design, the investigation involved 20 students enrolled in the Statistics in Educational Research class within the English Education study program. Data collection was a questionnaire consisting of 10 Likert-scale questions, focusing on popular social media platforms and their associated media outlets. The results highlight Youtube as the predominant social media platform extensively utilized by students. Notably, students acknowledged the value of academic lecture videos on Youtube for refining their listening skills in an academic context. These findings underscore the significance of promoting responsible social media usage and fostering a harmonious balance between recreational and educational purposes in utilizing such platforms to enhance listening skills.Keywords: Academic context, listening skill, social media
Analyzing The Use of Speech Acts in The Animated Film Entitled “Turning Red”
Authors: Purwani Sevia Ade , Hidayah Amanda Nurul
Published: March 2024

Pragmatics is a branch of linguistics, which is the study of language. One of the pragmatics components is speech acts. Understanding speech acts is crucial for effective communication as it helps to interpret meaning beyond the literal words and to navigate the social and pragmatic aspects of language. The dialogue between the characters in a film is similar to the dialogue in a drama or novel as they are a piece of literary works. The message of the film can be gleaned from the conversations between each character. These are the uttered words, which are made up of different speech acts. Thus, the aim of this study is to identify speech acts used in the animated film entitled “Turning Red”. The researchers used a descriptive qualitative method. The findings showed that there are five speech acts used in the “Turning Red” animated film, such as declarative, commissive, directive, representative, and expressive. Keywords: Animated film, speech acts, Turning Red
Unraveling the Stability of Layered Intercalation Compounds through First Principles Calculations: Establishing a Linear Free Energy Relationship with Aqueous Ions
Authors: Kawaguchi Naoto , Shibata Kiyou , Mizoguchi Teruyasu
Published: March 2024

Layered intercalation compounds, where atoms or molecules (intercalants) are inserted into layered materials (hosts), hold great potential for diverse applications. However, the lack of a systematic understanding of stable host-intercalant combinations poses challenges in materials design due to the vast combinatorial space. In this study, we performed first-principles calculations on 9,024 compounds, unveiling a novel linear regression equation based on the hard and soft acids and bases principle. This equation, incorporating intercalant ion formation energy and ionic radius, quantitatively reveals the stability factors. Additionally, employing machine learning, we predicted regression coefficients from host properties, offering a comprehensive understanding and a predic-tive model for estimating intercalation energy. Our work provides valuable insights into the energetics of layered intercalation compounds, facilitating targeted materials design.
A survey on network admission control solution in 6LoWPAN using cryptographic mechanism
Authors: Padmavathi V.
Published: March 2024

This paper introduces a robust network admission control (NAC) solution tailored specifically for 6LoWPAN Wireless Sensor Networks (WSN), aiming to enhance the overall security infrastructure. By implementing stringent measures, this solution not only safeguards legitimate nodes but also fortifies the network against potential security threats originating from unauthorized nodes attempting to communicate with both legitimate nodes and the Internet. The solution enhances security through innovative features for administrative nodes, including node presence detection and robust authentication. It incorporates data filtering to swiftly identify and discard unauthorized frames, strengthening network resilience. Established protocols like Neighbor Discovery and DSDV facilitate seamless integration. This strategic utilization minimizes the reliance on additional control messages, thereby optimizing the network's efficiency and resource utilization. The solution utilizes cryptographic methods, particularly the XOR algorithm, to enhance data security in wireless sensor networks. This algorithm ensures authenticity, integrity, and freshness of transmitted data frames, providing robust protection against manipulation and bolstering network security. The proposed network admission control solution addresses security risks in 6LoWPAN WSN and integrates advanced features for a strong and efficient overall security infrastructure in wireless sensor networks.
A comprehensive review of visible light communication (VLC)
Authors: Sherlin S.
Published: March 2024

Visible Light Communication (VLC) represents a revolutionary approach in the realm of wireless communication, capitalizing on the dual functionality of Light Emitting Diodes (LEDs) for both illumination and high-speed data transmission. The advent of LEDs has not only transformed lighting systems but has also paved the way for innovative communication technologies. The seamless integration of illumination and data transmission in VLC offers a unique solution to the growing demand for efficient and high-speed wireless communication. In recent years, the field of visible light communication has witnessed remarkable progress, fueled by the exploration and refinement of its constituent elements. Researchers have been actively addressing challenges associated with VLC, such as signal interference, mobility issues, and the need for standardized protocols. This ongoing pursuit of solutions has led to the development of increasingly robust VLC systems, positioning them as promising contenders for future communication technologies. This paper endeavors to provide a comprehensive overview of VLC, delving into the intricacies of its underlying challenges and the innovative solutions that researchers have proposed to overcome them. By examining recent research trends, the paper aims to highlight the evolving landscape of VLC technology, showcasing its potential for revolutionizing optical wireless communication. As VLC continues to mature, it is essential to explore the current state of the technology, anticipate future advancements, and contribute to the collective knowledge shaping the trajectory of visible light communication.
Estudo comparativo em uma comunidade acadêmica
Authors: Zanelato-Silva Luciana , Calais Sandra Leal , Ferraz de Oliveira Alexia Rino
Published: March 2024

A pandemia ocasionada pela COVID-19 provocou profundas alterações na rotina laboral e educacional das Instituições de Ensino Superior. Assim, fez-se um estudo exploratório-descritivo e quantitativo, cujo objetivo foi comparar os impactos desse período em uma comunidade acadêmica privada quanto às percepções sobre saúde, estratégias e redes de apoio. Participaram 403 pessoas, sendo 206 discentes, 115 docentes e 82 técnicos-administrativos. Aplicou-se um questionário pelo Google Forms e na plataforma digital da Instituição. Nas análises estatísticas do ANOVA, destacaram-se maior vulnerabilidade dos discentes quanto aos impactos na saúde física e emocional, assim como menor percepção das redes de apoio. Considera-se que tais achados poderão auxiliar no planejamento de ações políticas institucionais para diferentes membros da comunidade acadêmica, não somente para reparar os danos da pandemia, mas também com foco no bem-estar físico e emocional diante de mudanças constantes no ambiente educacional.
Ecology of Culture Industries: Ecological Factors Affecting Drama Program Selection
Authors:   Korean Academy Of Management, Kim Doyoon , Kim Taeyang
Published: March 2024

This study explores the industrial and structural factors that influence drama
program selection based on organizational ecology. Unlike previous studies
on media and broadcasting, in the case of cultural products like movies,
dramas, and TV programs, internal factors, such as producers, cast members,
and genres, have been studied for decision-making or box-office factors in
selecting cultural products. We propose that ecological factors, such as the
organization's age, the ecological niche's breadth, and the new competitors
outside an industry, due to technological development, will influence drama
selection. To investigate the effects of the liabilities of new organizations
and specialism on newly launching drama programs, along with the influence
of new competitors outside the industry, the research is empirically verified
based on data from 661 dramas aired in Korea from 2010 to 2021. As a
result, it was confirmed that all three hypotheses were significantly supported.
In addition to the internal factors of the drama program presented in the
existing theories, it was confirmed that the ecological factors of the external
environment in which the drama program is released and provided can affect
the decision-making in selecting cultural products, such as drama programs
and the organizational ecology. The enrichment of the discourse is the theoretical
implication of this study. Moreover, it draws attention to the changing competitive
environment in which drama programs are supplied and distributed
due to technological development. Additionally, it provides practical implications
to producers and practitioners in other cultural industries.
Zazacuala un sitio en el olvido
Authors: Vélez Saldaña Nadia Verónica
Published: March 2024

Zazacuala es un un sitio arqueológico, que se ha trabajado por medio de intervenciones arqueológicas de salvamento y rescate. Gracias a estos trabajos, se ha podido definir que fue un asentamiento prehispánico importante, el cual ha presentado una historia cultural desde el periodo Preclásico al Postclásico tardío, siendo su máxima expansión en el periodo Epiclásico. Este sitio arqueológico muy probablemente fue un sitio paralelo a Huapalcalco, ya que ambos son contemporáneos y cohabitaron en el mismo valle y a pesar de ello ha sido un sitio que no se le ha dado la misma importancia que a Huapalcalco, la desventaja de estar a la sombra de Huapalcalco, es que está siendo consumido por la mancha urbana de los tres municipios que lo rodean como Tulancingo de Bravo, Santiago Tulantepec y Cuautepec de Hinojosa. Es por ello que consideramos que es relevante resaltar los trabajos arqueológicos que se han realizado en el sitio.
Drug Solubility Prediction: A Comparative Analysis of GNN, MLP, and Traditional Machine Learning Algorithms
Authors: Gider Veysel , Budak Cafer
Published: March 2024

The effective development and design of pharmaceuticals hold fundamental importance in the fields of medicine and the pharmaceutical industry. In this process, the accurate prediction of drug molecule solubility is a critical factor influencing the bioavailability, pharmacokinetics, and toxicity of drugs. Traditionally, mathematical equations based on chemical and physical properties have been used for drug solubility prediction. However, in recent years, with the advancement of artificial intelligence and machine learning techniques, new approaches have been developed in this field. This study evaluated different modeling approaches consisting of Graph Neural Networks (GNN), Multilayer Perceptron (MLP), and traditional Machine Learning (ML) algorithms. The Random Forest (RF) model stands out as the optimal performer, manifesting superior efficacy through the attainment of minimal error rates. It attains a Root Mean Square Error (RMSE) value of 1.2145, a Mean Absolute Error (MAE) value of 0.9221, and an R-squared (R2) value of 0.6575. In contrast, GNN model displays comparatively suboptimal performance, as evidenced by an RMSE value of 1.8389, an MAE value of 1.4684, and an R2 value of 0.2147. These values suggest that the predictions of this model contain higher errors compared to other models, and its explanatory power is lower. These findings highlight the performance differences among different modeling approaches in drug solubility prediction. The RF model is shown to be more effective than other methods, while the GNN model performs less effectively. This information provides valuable insights into which model should be preferred in pharmaceutical design and development processes.
Role of the gut microbiota in aging and maintenance of active longevity. Part 2
Authors: Ratnikova A. , Ashikhmin Ya. , Ratnikov V. , Grudina M. , Dikur O.
Published: March 2024

The role of intestinal microbiota in aging and maintaining active longevity is considered. The second part examines the issues of DNA damage by metabolites of various bacteria, which increases the risk of cancer. The interactions between the microbiota and the immune system, the connection between dysbiosis and the aging of the immune system, indicating specific molecular mechanisms, are described in detail. Particular attention is paid to lymphocytes of the Th17 subpopulation. Changes in the microbiome that are observed in individuals with cardiovascular diseases (arterial hypertension, coronary heart disease, chronic heart failure) are shown. The role of trimethylamine oxide and new mechanisms of damage to the cardiovascular system associated with the migration of immune cells from Peyer's patches to atherosclerotic plaques is revealed. Ideas about the relationship between the microbiome and cognitive function are given. Changes in the microbiome against the background of increased physical activity are considered. The final part of the article presents microbiome interventions aimed at increasing life expectancy and quality of life. These include diet, the use of prebiotics, probiotics, synbiotics, and medications that affect the microbiota.
Review of current research on microvascular angina
Authors: Khabibulina M. , Bazhenova O. , Shamilov M.
Published: March 2024

Insufficient awareness of the etiology and pathogenesis of microvascular angina (MVA), as well as certain difficulties in diagnostic search, can lead to untimely or erroneous diagnosis. Objective. To generalize and systematize the available data on MVA and to raise awareness of doctors about modern diagnostic methods. Materials and methods. The selection of literature sources was carried out in the databases PubMed, GoogleScholar, Web of Science by keywords: coronary heart disease, microvascular angina, cardiac syndrome X for the period 2003-2023. Results and discussion. The article provides a general overview of the problem of MVA as an independent disease, provides various points of view on this problem, and identifies the difficulties of finding possible causes of its development. Special attention is paid to diagnostic algorithms and differential diagnostics. Conclusion. When working with patients with complaints of chest pain, it is important to remember about the features of MVA and conduct the necessary examination to exclude it.
Vascular and renal calcification as a consequence of high-dose calcium and vitamin D drugs
Authors: Strukov V. , Sergeeva-Kondrachenko M. , Denisova A. , Moiseeva I. , Vinogradova O. , Panina E. , Petrova E. , Galkina N. , Pronkina A. , Gorina O. , Elistratov D. , Burmistrova S. , Agafonov D.
Published: March 2024

Calcium-containing drugs occupy an important place in the list of anti-osteoporotic agents. Their consumption, often in combination with high doses of vitamin D, has increased significantly over the last couple of decades. Cases of uncontrolled intake of the macronutrient have become more frequent. Aggressive advertising of high-dose calcium supplements with calciferol of foreign production on television played its role in this. Nowadays doctors of various specialties have to face more and more often the consequences of using such preparations. The article describes the mechanism of calcium deposits formation in vessels and kidneys against the background of calcium supplementation. The results of large-scale studies proving the close relationship between high intake of calcium and vitamin D with calcification of vessels, development of cardiovascular diseases and nephrolithiasis are presented. Doubts are raised about the validity and necessity of high-dose calcium supplements in the treatment of skeletal diseases. The possibilities of successful therapy of postmenopausal osteoporosis without the use of such agents are presented on the example of the preparation Osteo-Vit D3, which does not contain calcium and high doses of calciferol, but increases the mineral density of bone tissue and reduces the volume of calcificates in blood vessels and kidneys.
Diagnostic accuracy of diffusion weighted imaging on MRI in suspected cases of ovarian cancer, keeping histopathology as gold standard.
Authors: Maryam Latif  , Salahuddin Balooch  , Zeeshan Ali  , Umar Amin  , Kiran Zafar  , Muhammad Usman Khan
Published: March 2024

Objective: To assess the diagnostic accuracy of diffusion weighted imaging on MRI in patients of ovarian cancer with histopathology considered as gold standard. Study Design: Cross-sectional study. Setting: Department of Radiology, Tertiary Care Hospital Kharian. Period: February 2022 to August 2022. Material & Methods: Non-probability, consecutive sampling was performed from 60 patients. After receiving informed consents, the suspected female patients with age 15 to 65 years went under MRI. The results were compared with histopathological findings and diagnostic potential of MRI was calculated by 2x2 table. The findings of both the modalities were compared by correlation analysis with p<0.05 considered as significant. Results: The sensitivity and specificity of MRI were estimated to be 92.68% and 73.68%. The positive predictive value and negative predictive value were estimated to be 88.37% and 82.35%. The diagnostic accuracy was found to be 86.66%. The findings of MRI and histopathology were significantly (p<0.05) correlated with a value of 0.685. Conclusion: The use of MRI is highly recommended in diagnosis of ovarian cancer.
Diagnostic accuracy of computed tomography brain perfusion in the prediction of acute ischemic stroke taking the findings of MRI as gold standard.
Authors: Bushra Ujala  , Nosheen Ahmad  , Arwa Naeem
Published: March 2024

Objectives: To determine the diagnostic accuracy of computed tomography brain perfusion to predict acute ischemic stroke taking the findings of MRI as gold standard. Study Design: Cross-sectional Validation study. Setting: Department of Radiology Allied Hospital Faisalabad. Period: 20th May 2022 to 19th November 2022. Material & Methods: A total of 215 individuals, aged between 30 and 70, of both sexes, and exhibiting ischemic stroke symptoms lasting no more than 12 hours, were included. Patients with abnormal renal function tests having renal disease were excluded. The conventional non-contrast CT used in the CT stroke protocol had basal sections that were either 3 mm or 4 mm in thickness and supra tentorial sections that were either 3 mm or 4 mm in thickness. The acquisition parameters were 80kVp and 120mAs. Dynamic CT perfusion was carried out with 4 cm plane coverage. At the seventh day, all patients underwent a follow-up MRI using a 1.5 Tesla Philips MRI scanner. A radiologist examined CTP to look for signs of early ischemic changes. For CT perfusion (CTP), measurements were taken for time to peak (TTP), cerebral blood flow (CBF), and cerebral blood volume (CBV). Results: Overall sensitivity, specificity, positive predictive value, negative predictive value and diagnostic accuracy of computed tomography brain perfusion in the prediction of acute ischemic stroke taking the findings of MRI as gold standard was 85.37%, 76.09%, 82.68%, 79.55% and 81.40% respectively. Conclusion: This study led to the conclusion that diagnostic accuracy of computed tomography brain perfusion to predict acute ischemic stroke is quite high.
Open appendectomy for left sided acute appendicitis in a young patient with situs inversus totalis.
Authors: Hafiz Muhammad Sufyan  , Pashmal Yousaf  , Arif Javaid
Published: March 2024

Primary appendicitis presenting in left side is uncommon. Diagnosis is dependent on index of suspicion which is high. We present to you a case of left-sided appendicitis. Appendix was visualized as a long, tubular, edematous, inflamed structure in left lower quadrant with the whole of the colon present in the same region. Commuted tomography is useful in providing accurate diagnosis of acute appendicitis and in detecting rotational abnormalities.
Gait analysis of male professional boxers
Authors: Perlinski Jacek , Bukowska Joanna M. , Rydzik Lukasz , Wasacz Wojciech , Kruczkowski Dariusz , Ambrozy Tadeusz , Czarny Wojciech , Jaszczur-Nowicki Jaroslaw
Published: March 2024

Introduction: Gait plays a crucial role in both daily life and sports performance. This study analyzes professional boxers’ gait, as it is essential to understand its influence on performance and injury risk. However, there is a need to comprehend the effects of boxing training on gait and the occurrence of asymmetries between limbs. Research Question: Does the gait of professional boxers exhibit significant differences between limbs, and what are the potential implications of this asymmetry? Materials and Methods: The study involved 36 professional boxers, and the Gaitway 3D Pressure treadmill was used to collect data. The analysis was performed using statistical tests with a pre-determined level of significance. Results: Significant differences were found between limbs in gait phase parameters and ground reaction forces. A longer swing phase of the right leg was observed, potentially affecting the reduction of single-limb support and right-leg propulsion. Additionally, higher ground reaction forces were noted on the left side. Conclusions: This analysis of gait in professional boxers provides valuable insights into the asymmetry between limbs, which may impact performance and injury risk. It also shows the correct characteristics of selected gait parameters. These findings are relevant for tailoring training programs, reducing injuries, and enhancing overall physical conditioning of athletes. Further-more, they can be applied in both sports and daily life for injury prevention and rehabilitation, where maintaining balance and stability are crucial in avoiding injuries and improving the quality of life.
Cirugía por videotorascopía
Authors: María Jesús Jiménez García  , Sonia Martín Ventura  , Rafael López Coloma
Published: March 2024

El abordaje por VATS ha supuesto un importante hito en la cirugía torácica permitiendo la cirugía en pacientes que nunca hubieran sido candidatos a ella mediante abordaje con toracotomía abierta. La menor morbilidad postoperatoria, la disminución de la intensidad del dolor postoperatorio, la reducción del tiempo para los drenajes torácicos y la estancia hospitalaria de menor duración ha permitido que se planteen y se comiencen a llevar a cabo programas de recuperación intensificada en cirugía torácica. La cirugía torácica por VATS tiene unas peculiaridades en las que el papel del anestesista en esencial. La videotoracoscopia requiere un colapso pulmonar total para que la visión quirúrgica sea adecuada. Esto obliga al uso de dispositivos de aislamiento pulmonar y a ventilación unipulmonar por parte de anestesia. Asimismo, es importante la estrategia de ventilación protectora tanto en unipulmonar como en bipulmonar. Además, para facilitar una recuperación más rápida del paciente, es fundamental el adecuado control del dolor postoperatorio. En la actualidad, la VATS es la técnica de elección para la mayoría de los procedimientos torácicos.
THE CONSEQUENCES OF A FORCED MIGRATION SHOCK FOR THE ECONOMY OF A COUNTRY AT WAR: THE CASE OF UKRAINE
Authors: Kamyshnykova Evelina
Published: March 2024

The full-scale war in Ukraine, which started with the Russian invasion in February 2022, has led to an unprecedented forced migration crisis not seen in Europe since the Second World War. The current Ukrainian forced displacement, which has no analogues in terms of its scale, geographical coverage, quantitative indicators and timeframe, represents an exceptional case to study in terms of its impact on the economic environment of the country of origin. The purpose of this paper is to identify and analyse the short- and long-term effects of the forced migration shock on the economy of a combatant country in the context of a full-scale war in Ukraine. Methodology. To address the task of classifying the economic consequences of a forced migration shock from the perspective of the country of origin, the publication uses the matrix diagram method. The matrix developed is based on two key characteristics that indicate the durability of the impact (short-term or long-term) and the nature of the impact (explicit or implicit). The analysis of the short-term and long-term effects of forced migration on the Ukrainian economy is based on macroeconomic statistics (key macroeconomic indicators, labour market indicators, public finance indicators, external sector statistics) in the pre-war period, the war period since 2022, and forecasts for 2024-2025. Results. Unlike regular labour migration, forced migration has a predominantly negative impact on the economy of a country of origin, both in the short and long term. The explicit effect of forced migration on the economic system of the country of origin is to damage the labour market. The implicit effects include a decrease in remittances, a reduction in production facilities, an increase in the budget deficit and regional budget imbalances, an increase in the level of external and internal debt, increased dependence on international aid, a decrease in consumption, investment and GDP growth rates. Practical implications. The practical results provide a basis for further research into policy measures to address the negative aspects of increasing migration processes in Ukraine, particularly with a view to the country's future post-war reconstruction. Value/Originality. The matrix developed to assess the impact of the forced migration shock provides a deeper understanding of the multifaceted effects of this phenomenon on the socio-economic system of a country at war.
STRATEGIC EDUCATIONAL QUALITY FOR CRISIS ADAPTABILITY
Authors: Mykhailova Yelyzaveta , Savina Nataliia
Published: March 2024

This article examines the central role of educational quality as a linchpin for crisis management in the education sector. Faced with challenges ranging from economic downturns to public health crises, the study seeks to unravel the complex relationship between educational quality and the resilience of educational institutions. Using a comprehensive approach, the paper delves into the multiple dimensions of educational quality, examining indicators such as curriculum design, teaching methods and institutional accreditation. Methodology. The study uses a mixed-methods approach that combines quantitative analysis of educational indicators with qualitative assessment of crisis management strategies. Data is collected from a variety of educational institutions, including schools, colleges and universities, to provide a detailed understanding of the current situation. Surveys, interviews, and case studies contribute to a comprehensive examination of the dynamic relationship between education quality and crisis response. Results. The findings underscore the critical role of quality education in building resilience to crises. Institutions with a strong emphasis on educational quality demonstrate greater adaptability, use technology for distance learning, implement effective contingency plans, and foster a culture of adaptability among educators and students. The study identifies key indicators that serve as predictors of an institution's ability to successfully manage crises, providing valuable insights for policymakers and educational leaders. Practical implications. The research offers practical implications for educational institutions seeking to improve their crisis management capabilities. Recommendations include the integration of technology for distance learning, the development of comprehensive contingency plans, and the maintenance of a flexible learning environment. The practical strategies outlined in the article aim to enable institutions to respond proactively to crises and ensure the uninterrupted delivery of quality education. Value/Originality. The originality of the research lies in the comprehensive analysis of quality indicators and the identification of practical strategies that can strengthen the education sector against unforeseen challenges.
MANAGEMENT MODEL OF CORPORATE TRADE SYSTEM
Authors: Mishchuk Ihor , Trofymenko Kateryna
Published: March 2024

The purpose of the article is to develop a model for managing a corporate trading system and define the principles that ensure its use. Methodology. The research methodology is based on the dialectical and systemic approach, i.e., the activities of the components of the business system are considered in their interconnection and interdependence. The methods of multidimensional logic, formalisation, structural synthesis, modelling and scientific generalisation are used to develop the management model of the business system. Results. The evolution of the business trading system reflects changes in space and time. It is impossible to change the scale of its activities without introducing managerial and organisational innovations. Corporate management is based on a three-level hierarchical structure: shareholders, board of directors and top management. The effectiveness of corporate management in commerce is determined by the degree of centralisation of management decisions. Corporate management and its senior executives ensure the achievement of the system's objectives, control and plan its development. A unified strategic management centre carries out strategic management of business units and internal coordination of actions, change management, while at the same time giving them the right to independent operational management. Separation of strategic and operational management subsystems allows to create a management system combining strategic objectives and performance parameters. Practical implications. The practical results can serve as a basis for further research on ways to improve the strategic and operational management of business units that are part of the corporate trading system, taking into account changes in the internal and external environment. Value/Originality. The proposed model of corporate trading system management allows to better understand the essence of the management process, provides strategic management of their activities from a single strategic management centre and gives the right to independent operational management.
THE IMPACT OF EUROPEAN INTEGRATION ON UKRAINE'S SOCIAL SECURITY SYSTEM: THE FINANCIAL COMPONENT
Authors: Kozarezenko Liudmyla
Published: March 2024

This article examines the impact of European integration on Ukraine's social protection system, focusing on its financial capacity to provide adequate support to its citizens. It analyses the financing of social protection components in Ukraine. This included articles on rehabilitation and recreation of children with special needs, social protection of persons with disabilities, families and children, support for low-income families, provision of benefits and housing subsidies to citizens, and financial assistance to citizens in difficult circumstances. The study also addressed the issues of financial support for pension payments, bonuses and increases to pensions under pension programmes, as well as the shortfall in the Pension Fund of Ukraine. The paper analyses the role of international donors in financing social expenditures in the second year of the full-scale invasion. Additionally, the study concludes with proposals for reforming the social protection system in Ukraine in the context of European integration. Research methodology. The methodology includes the use of comparative analysis, statistical analysis and generalisation to analyse and draw conclusions based on the research data. Purpose of the study. The European Union (EU) is committed to developing highly competitive social market policies aimed at achieving full employment and social progress. Ukraine, as a candidate country for EU membership, is obliged to ensure the implementation and development of legislation, in particular in the area of social protection of its citizens. Thus, the purpose of this study is to summarise the results of changes in the social protection system of Ukraine that have occurred as a result of active integration with Europe. The publication contains conclusions and recommendations on the necessary future changes to implement European norms and standards in the social protection system in Ukraine. Conclusion. The social security system in Ukraine does not meet the criteria and objectives set by the European community. The eligibility requirements for pensions are relatively low in terms of age and pensionable service, while the pensions themselves are also low, putting many pensioners at risk of financial hardship. This issue is particularly relevant for women, who may receive pensions earlier than men, but still struggle to make ends meet. In addition, it is necessary to reform the system of institutional care and upbringing of children, as well as to focus on a strategy for deinstitutionalising children in residential institutions in the context of social protection. It should be noted that Ukraine has not yet begun preparations for the administration and use of the European Social Fund. The development of scientific and practical tools for reforming Ukraine's social protection system in line with European standards is an important step towards Ukraine's membership in the European Union. This work is crucial to ensure gradual and stable progress towards Ukraine's EU membership.
Development of Software Education Program using Self-driving
Authors:   Korean Institute of Smart Media, Yoon Hyo Sun , Jeong Min Kyu , Kim Kyung Baek
Published: March 2024

As the importance of software and artificial education is emphasized on the digital transformation era, various educational materials are being developed and distributed. To achieve the purpose of software education, various software education programs suitable for school settings need to be provided. In this paper, we developed a software education program using self-driving that can be applied to secondary school software education and applied it to secondary school students. The developed software education program is a physical computing program consisting of various motion control programs such as object detection, line tracing using various sensors, focusing on experience and practice. As a result of the survey, students' attitudes and career orientation toward software and artificial intelligence, and satisfaction with software education were over 90%, and satisfaction with the proposed program was over 95%.
Card Battle Game Agent Based on Reinforcement Learning with Play Level Control
Authors:   Korean Institute of Smart Media, Lee Yong Cheol , Lee Chill woo
Published: March 2024

Game agents which are behavioral agent for game playing are a crucial component of game satisfaction. However it takes a lot of time and effort to create game agents for various game levels, environments, and players. In addition, when the game environment changes such as adding contents or updating characters, new game agents need to be developed and the development difficulty gradually increases. And it is important to have a game agent that can be customized for different levels of players. This is because a game agent that can play games of various levels is more useful and can increase the satisfaction of more players than a high-level game agent. In this paper, we propose a method for learning and controlling the level of play of game agents that can be rapidly developed and fine-tuned for various game environments and changes. At this time, reinforcement learning applies a policy-based distributed reinforcement learning method IMPALA for flexible processing and fast learning of various behavioral structures. Once reinforcement learning is complete, we choose actions by sampling based on Softmax-Temperature method. From this result, we show that the game agent's play level decreases as the Temperature value increases. This shows that it is possible to easily control the play level.
A OTT content data analysis technique on a PC environment
Authors:   Korean Institute of Smart Media, Lee Chanwoo , Heo Junyoung
Published: March 2024

Due to technological advancements in viewing devices and the COVID-19 pandemic, a lot of OTT-only content is being produced and distributed as people shift from traditional movie theater viewing and broadcasters' fixed TV viewing to free-form OTT viewing using wired and wireless internet. As a result, the ability to leverage data from OTT audiences has become critical to the competitiveness of the industry. However, third parties other than OTT content providers are facing difficulties in acquiring OTT viewer data. In this paper, as a way to overcome the shortcomings of existing viewer data acquisition, we propose a method to extract audio and video data by developing an OTT viewing data acquisition agent using Web APIs by adopting a web browser environment that does not affect the performance of OS and viewing devices, so that third-party companies that need viewing data can utilize it.
Anomaly Sewing Pattern Detection for AIoT System using Deep Learning and Decision Tree
Authors:   Korean Institute of Smart Media, Quoc Toan Nguyen , Cho Seongwon
Published: March 2024

Artificial Intelligence of Things (AIoT), which combines AI and the Internet of Things (IoT), has recently gained popularity. Deep neural networks (DNNs) have achieved great success in many applications. Deploying complex AI models on embedded boards, nevertheless, may be challenging due to computational limitations or intelligent model complexity. This paper focuses on an AIoT-based system for smart sewing automation using edge devices. Our technique included developing a detection model and a decision tree for a sufficient testing scenario. YOLOv5 set the stage for our defective sewing stitches detection model, to detect anomalies and classify the sewing patterns. According to the experimental testing, the proposed approach achieved a perfect score with accuracy and F1score of 1.0, False Positive Rate (FPR), False Negative Rate (FNR) of 0, and a speed of 0.07 seconds with file size 2.43MB.
Mitigating Data Imbalance in Credit Prediction using the Diffusion Model
Authors:   Korean Institute of Smart Media, Oh Sangmin , Lee Juhong
Published: March 2024

In this paper, a Diffusion Multi-step Classifier (DMC) is proposed to address the imbalance issue in credit prediction. DMC utilizes a Diffusion Model to generate continuous numerical data from credit prediction data and creates categorical data through a Multi-step Classifier. Compared to other algorithms generating synthetic data, DMC produces data with a distribution more similar to real data. Using DMC, data that closely resemble actual data can be generated, outperforming other algorithms for data generation. When experiments were conducted using the generated data, the probability of predicting delinquencies increased by over 20%, and overall predictive accuracy improved by approximately 4%. These research findings are anticipated to significantly contribute to reducing delinquency rates and increasing profits when applied in actual financial institutions.
Pengaruh Religiusitas terhadap Niat Beli Kosmetik Halal dengan Sikap Millenial sebagai Mediasi
Authors: Maulani Maghfira Rizky , Yuliana Ika , Marlina Febria Nurmelia , Nirwana Baiq Nadia , Aditia Rifqi
Published: March 2024

Indonesia is a Muslim-majority country, so halal products are important for the community. Most cosmetics are produced by non-Islamic countries, which can lead to disagreements about whether the raw materials used are halal. This study aims to examine the effect of religiosity and attitude toward halal cosmetics on purchase intention. This field of research is still relatively scarce despite advances in the halal cosmetics business in Indonesia. The method used in this study utilized a sample of the millennial generation and was further analyzed using SEM. The results show that religiosity plays an important role in shaping attitudes and purchase intentions. In the end, it was found that attitude has a mediating role in the impact of religiosity on purchase intention. Therefore, industry stakeholders need to prioritize religiosity considerations in their product promotion efforts, as this can effectively stimulate purchase intention.
Lycia and the Lycians in the Aeneid: Virgil’s Herodotus
Authors: Fratantuono Lee
Published: March 2024

Close reading of Virgil’s references to Lycia and the Lycians in his Aeneid reveal the influence of Herodotus’ account of the early history of the people, notably the Lycian migration from Crete to Asia Minor. Virgil’s employment of Lycian lore and Herodotean allusions serves to highlight certain developments in the Roman civil wars, not least the Lycian help afforded to Octavian at Philippi.
Las fisuras de la memoria: gestos políticos y pedagógicos ante la violencia en la Comuna 13 de Medellín
Authors: Areiza Pérez Erica Elexendra
Published: March 2024

El texto se deriva de un proyecto de investigación enfocado en las subjetividades políticas de maestros y colectivos artísticos y culturales en la Comuna 13 de la ciudad de Medellín. Uno de los ejes de indagación tiene que ver con la pregunta por el lugar de la memoria desde una perspectiva política y pedagógica, a propósito de la violencia que ha afectado a este territorio en las últimas décadas. El trabajo se desarrolla a partir de una investigación narrativa en cuyos fundamentos teóricos y metodológicos se enfatiza la potencia del relato como construcción epistémica, subjetiva y social. Uno de los resultados de esta experiencia revela cómo las escuelas y los maestros han resistido a las hostilidades a partir de narraciones y recuerdos que les crean grietas en lo establecido y promueven experiencias pacifistas.
Espacio y tiempo en los procesos de memorialización del pueblo Iku (Arhuaco)
Authors: Forero Medina Nelson Camilo
Published: March 2024

El presente artículo analiza las transformaciones del concepto de territorio del pueblo Iku (arhuaco) en el contexto del conflicto armado colombiano. Con ello se quiere señalar la imposibilidad de musealizar el territorio desde la epistemología de los indígenas de la Sierra Nevada Gonawindúa (Santa Marta). Asimismo, se observa el rol del tiempo en dos dimensiones: en la conceptualización del tiempo que hacen los Iku en su cosmogonía, y en la manera en que el tiempo afecta la relación de los miembros del pueblo indígena con los sujetos no indígenas.
La invisibilización de les migrantes en el discurso presidencial argentino durante el primer año de gobierno de Néstor Kirchner
Authors: Flax Rocío
Published: March 2024

El presente trabajo tiene por objetivo analizar las representaciones de migrantes en el discurso del expresidente argentino Néstor Kirchner. Para ello, rastreamos todos los discursos de su primer año de gobierno que incluyeran referencias a migrantes o circulación de personas entre países. El corpus quedó conformado por dieciocho discursos, en los cuales las migraciones se relacionaban con tres temáticas: inmigrantes y pioneres —mayoritariamente europees— de fines del siglo XIX y principios del siglo XX; la integración regional; y la migración como una problemática mundial. Proponemos como hipótesis que el expresidente produce un silencio con respecto a la presencia de migrantes en Argentina y deshumaniza a les migrantes a nivel mundial. Inscribimos el presente trabajo en el Análisis Crítico del Discurso y seguimos una metodología cualitativa.
Políticas de la memoria y espacio discursivo sobre el terrorismo de Estado en Argentina: exploraciones y conjeturas
Authors: Messina Luciana
Published: March 2024

Este trabajo propone una aproximación analítica a las tensiones en el espacio discursivo sobre el pasado dictatorial en Argentina y sobre el modo en que las políticas de la memoria, en su despliegue histórico e institucionalización, han colaborado en la construcción y consolidación de significaciones sociales compartidas que inciden en el reparto de lo decible y lo indecible sobre él. Con ese objetivo, se parte de exponer la perspectiva teórico-metodológica de abordaje para luego realizar un breve repaso por las políticas de memoria desplegadas desde el advenimiento de la democracia junto a los procesos socio-políticos ligados a ellas. Por último, se reconstruyen tres episodios que pusieron en cuestión dichas significaciones y que generaron reacciones sociales de rechazo de gran alcance.
Cherniakhivskyi Yevhen Hryhorovych: a surgeon, brilliant lecturer, and teacher
Authors: Zavernyi L. G. , Tarasiuk T. V. , Tsiura Y. P. , Kryvopustov M. S.
Published: March 2024

The life and career of Professor Yevhen Hryhorovych Cherniakhivskyi, a surgeon and scientist and the first rector of Kyiv Medical Institute (now Bogomolets National Medical University).