bluuebunny/crossref_metadata_2025 huggingface dataset:
DIVERSITY IN THE WORKPLACE AND ITS EFFECT ON ORGANIZATIONAL DEVELOPMENT IN BANKING SECTOR.
Authors: Pangavhane Smita B , Gosavi Y.M.
Published: January 2025

In the banking sector, workforce diversity is essential for fostering organizational development and driving business success. The rapidly evolving nature of the industry, with its wide range of customer needs and complex regulatory frameworks, requires banks to tap into diverse perspectives to stay competitive. A diverse workforce brings together varied experiences, backgrounds, and viewpoints, which can significantly contribute to innovation, better decision-making, and problem-solving. Banks that embrace diversity are more likely to create products and services that cater to the needs of a diverse clientele, helping them build stronger customer relationships and improve overall performance.Additionally, a diverse workforce enhances organizational culture, promoting inclusivity and respect. This not only improves employee morale but also leads to higher levels of job satisfaction, better employee retention, and a stronger commitment to the organization. By integrating diversity into their organizational development strategies, banks can cultivate a work environment that encourages creativity, collaboration, and productivity.This paper delves into the ways in which banks can leverage workforce diversity to boost organizational effectiveness. It highlights best practices for managing diversity, such as inclusive hiring processes, diversity training programs, and policies that foster an inclusive workplace, ultimately enabling banks to navigate the challenges of a competitive, globalized financial landscape.
Effects of the TARGET Imbalances on the Eurozone Periphery Economies
Authors:   Institute for Future Growth, Chang Taekkyu , Lee Hundae , Choi Myoungshik
Published: January 2025

The Eurozone has experienced a surge in TARGET2 imbalances since the global banking crisis and the European sovereign debt crisis. The aim of this paper is to discuss whether the emergence of the TARGET2 imbalances has affected the Eurozone periphery economies positively or negatively. Greece failed to restructure its economy and its recovery was slow compared with that of non-Eurozone member Poland, even despite the ECB's so-called unlimited low-interest TARGET2 ‘stealth bailout' through the Bank of Greece. For this paper, a panel regression analysis of the effects of TARGET2 liquidity inflows was done using the annual data of the GIPSIC countries (Greece, Italy, Portugal, Spain, Ireland and Cyprus) from 2000 to 2020. The cross-border funding (to-GDP-ratio) via their central banks, including the TARGET2 borrowings, was found to have a significant negative relationship with GDP growth (per capita). Foreigners' portfolio investments and banks' borrowings abroad meanwhile had positive relationships with growth rates. Finally, fixed effects model regression with dummy variables found structural breaks in the GIPSIC economies after the sudden stops of crossborder funding. This could be one piece of evidences contradicting the claim that the emergence of the TARGET2 imbalances was only an accounting phenomenon. Following Sinn and Wollmershäuser (2011), it would seem to be worth considering a cap on the maximum amounts of the unsettled TATGET2 balances. To prevent the expected side effects further, consideration should also be given to introducing the regular clearance of TARGET2 claims and debts, similar to what is done in the ISA (Inter-district Settlement Account) of Fed-wire. The implications of this research should be useful for building the ASEAN+3 currency union now underway, and for developing a sustainable payment system in the case of the future promotion of gradual inter-Korean economic integration.
Empirical Study on the Relationship Between Private Credit and Income Distribution: Focusing on Household Debt and Income Inequality
Authors:   Institute for Future Growth, Yoo Kyeongwon
Published: January 2025

In many advanced economies, the increase in private credit and household debt has been paralleled by a deepening of income inequality, spurring interest in the relationship between these factors. In Korea, household debt levels relative to the economy are among the highest globally, necessitating a systematic analysis of the links between private credit, household debt, and income inequality. While prior research often suggests that rapid credit growth heightens the risk of financial crises, empirical evidence on the direct relationship between private credit expansion and income inequality remains inconsistent. Since Rajan (2010), much of the literature has focused on how income inequality can drive credit expansion, potentially leading to financial instability; however, some studies suggest that credit growth itself may exacerbate inequality. Despite these insights, a comprehensive examination of these dual pathways has been lacking. This study addresses this gap by conducting an empirical analysis of the interrelationships between income inequality, household debt, and financial crises, using OECD panel data and quarterly time-series data from Korea. Notably, we focus on the direct relationship between household debt and income inequality. Going beyond previous studies on cross-country panels, we analyze Korea’s unique economic environment, offering relevant findings and insights that align with Korea’s specific economic context.
Factors associated with an increased risk of postoperative blood transfusions in patients undergoing total hip arthroplasty – A mini-review
Authors: O'Connor Gavin David
Published: January 2025

Introduction: Elective total hip arthroplasty is a common surgery performed around the world. Many patients undergoing elective total hip arthroplasty are elderly, with a large proportion being anaemic preoperatively. The aim of this mini-review is to discuss the numerous factors associated with blood transfusions after total hip arthroplasty, with particular emphasis on preoperative anaemia.

Methods: This is a mini-review of the literature regarding factors associated with increased rates of postoperative blood transfusions and methods and strategies to reduce the incidence of postoperative blood transfusions after elective total hip arthroplasty.

Results: Preoperative anaemia is a common condition in patients undergoing elective total hip arthroplasty. Preoperative anaemia, age, and increasing ASA score are all associated with increased rates of postoperative blood transfusions.

Conclusion: Preoperative anaemia, increased age and ASA score are all associated statistically with increased rates of postoperative blood transfusions in patients undergoing elective total hip arthroplasty.
Human Rights And Freedoms Under The Conditions of Martial State: Legal Regulation, Directions of Improvement
Authors: Pavlo Liutikov  , Wiktor Branowicki  , Olga Shchypanova  , Serhii Yehorov  , Oleksiy Ulyanov
Published: January 2025

The crisis in Ukraine, sparked by Russia's intervention in March 2014 and culminating in February 2022, has had a profound impact on human rights not only in Ukraine but also in European Union member nations. It is substantiated that human rights are an effective tool for limiting public power, which prevents its arbitrary action. This attribute makes human rights a distinguishing feature of a democratic state-legal regime, as opposed to authoritarian and totalitarian regimes, which do not accept the natural nature of these rights and identify them with their own will. Protecting human rights under martial law is extremely difficult. The difficulty lies in the fact that protecting human rights under martial law is not an easy task. Therefore, the development of mechanisms for the protection of human rights is a key step in ensuring justice, the development of democracy, and the development of mechanisms for the protection of human rights is particularly important for ensuring justice, the development of democracy and the restoration of peace in our country. A legitimate state must protect people's and citizens' rights and liberties. Even during conflict in a democratic state, it is difficult to abdicate the responsibility to protect human rights. Given the basic nature of this issue, it is vital to control it on a constitutional and legal level. According to Article 3 of the Constitution of Ukraine, the state has an obligation to ensure human rights, which determines the direction of its activity and functional orientation. The state is responsible for the realization and affirmation of human rights. Therefore, martial law cannot be used to waive the obligation to ensure human rights. The Constitution of Ukraine also contains provisions that determine the specifics of the implementation of individual human rights in the conditions of martial law.
Deep artistry: Blending styles with neural networks
Authors: Kavitha Soppari  , V. Revathi Chandrika  , Yogitha Setty  , O.Sakshith
Published: January 2025

This work investigates the application of Neural Style Transfer (NST) using Convolutional Neural Networks (CNNs), with a specific focus on the VGG16 model. The proposed system combines the structural details of a content image with the artistic characteristics of a style image. By employing a dual-network framework, content and style features are extracted independently, and a stylized image is generated by minimizing a combined loss function through iterative optimization. The research highlights advancements in processing efficiency, enabling potential real-time applications in video processing. The system's adaptability makes it suitable for diverse creative fields such as digital art, graphic design, and multimedia production. Future enhancements aim to incorporate real-time style transfer for dynamic content generation in video and other applications.
Transformations of episodes from medieval Portuguese history in tragedy “A Castro” by A. Ferreira
Authors: Orlova Tatiana Sergeevna
Published: January 2025

The purpose of the study is to identify the ideological determinacy of the transformations of episodes of the medieval history of Portugal in the tragedy “A Castro” by A. Ferreira. The article examines the features of depicting of the national history of Portugal in the classical tragedy by A. Ferreira. In addition to analyzing the historical context of the play, identifying the conflicts of feeling and duty, personality and state traditional for classical drama, the article also pays attention to the gender issue of the tragedy, expressed in the collision of feminine and masculine principles using the example of the confrontation between Ines de Castro and the royal court. The features of the poetics of the play are analyzed; the construction of the character system is studied; the influence of ancient drama on the architectonics and construction of the conflict of the play is revealed; the role of the chorus in the tragedy is highlighted. The scientific novelty of the study is that for the first time in Russian literary studies, A. Ferreira’s tragedy “A Castro” is considered within the framework of gender studies. As a result of the study, it was established that A. Ferreira’s tragedy “A Castro” reflects the playwright’s polemics with the conservative tendencies of the counter-reformation. Using in his tragedy the features of the poetics of ancient drama, A. Ferreira tells the story of the resistance of a medieval folk heroine to the king and his advisers as a struggle between the female hypostasis of a hero of late Renaissance humanism and a repressive male collective.
Studying data communities: Analytical dimensions from and for empirical research
Authors: Gregory Kathleen , Davies Sarah
Published: January 2025

How can data communities be studied? In this paper, we combine existing literature with our own research spanning more than a decade to propose five dimensions and a series of guiding questions which can be used to analyze data communities. These dimensions – disciplinary domains, social orderings, material orderings, data uses, and data expertise – illustrate the variability of data communities and offer starting points for future empirical research, infrastructure design, and policy activities. Analyzing data communities through the multidimensional perspectives which we propose encourages critical interrogation of these heterogeneous groups, while highlighting the complex ways in which data practices constitute particular communities and how those communities simultaneously shape data.
Assessing conspiracist ideation among Democrats and Republicans: Testing the measurement invariance of four short-form measures of conspiracist belief
Authors: Kay Cameron Stuart , Hart Joshua
Published: January 2025

Are Republicans more likely to believe in conspiracy theories than Democrats? This question has received considerable attention among researchers, but answering it requires measures of conspiracist belief that function the same among Democrats and Republicans. Unfortunately, evidence of such measurement invariance is scarce. To address this limitation, the current preregistered study (Democrats = 351; Republicans = 339) tested the invariance of four short-form conspiracist ideation measures—the General Measure of Conspiracism (GMC), the Generic Conspiracist Beliefs Scale – 5 (GCB-5), the Conspiracy Mentality Questionnaire (CMQ), and the American Conspiracy Thinking Scale (ACTS)—across the two major US political parties. Given the lack of prior research on the topic, we preregistered the optimistic hypothesis that all four scales would achieve the highest level of invariance (i.e., strict factorial invariance). The GMC was the only measure to reach this level. The GCB-5 and CMQ, by contrast, only achieved the third-highest level (i.e., metric invariance), despite the GCB-5 demonstrating the greatest overall fit of the measures tested. The ACTS only achieved the fourth-highest level (i.e., configural invariance). These results suggest that researchers who are interested in comparing conspiracist ideation between Democrats and Republicans may be best served by using the GMC.
WHIPPED FERMENTED MILK DESSERT WITH FUNCTIONAL PROPERTIES
Authors:   Bashkir State Agrarian University, A.A. Slinkin , O.V. Krupina ,   Bashkir State Agrarian University
Published: January 2025

The development of functional food products that have a positive physiological
effect on the body is relevant. The development of technology for whipped fermented
milk desserts with vegetable additives is obtained by fermenting natural milk with a
special starter culture. Yoghurts have a high content of live beneficial fermented milk
microorganisms, lacto- and bifidobacteria (probiotics), which naturally normalize the
intestinal microflora, improve the digestive system, and have a positive effect on the
immune system.
From Pulpit to Screen: The Evolution of Islamic Scholars' Roles in the Digital Age
Authors: Syafaah Darisy , Barizi Ahmad , Sumbulah Umi
Published: January 2025

This study investigates how the existence of religious scholars in the digital era, characterized by the dominance of new media and pop culture, influences people's understanding and practice of religion. Through qualitative research, this study shows that new media has transformed the way people access religious information and interact with religious scholars. While new media offers easier access, it also presents challenges such as the proliferation of inaccurate information and the commercialization of religion. This study highlights the importance of digital religious literacy for the public to be able to critically evaluate information circulating on social media and choose credible religious references.
Moneylender Free Village: A Case Study of Fostering Social Piety in the Cikuasa Community, Cilegon City, Indonesia
Authors: Muhlisin Muhlisin , Sahrowiyah Titin , Maharani Aulia Raziva , Mauzaniah Haliza
Published: January 2025

This study investigates the Moneylender Free Village (MFV) program within the Cikuasa community, Cilegon City, Indonesia, examining its role in fostering Islamic economic principles and social piety. Through qualitative descriptive research involving interviews with 20 purposively selected respondents, this study explores the negative impacts of loan shark practices on the community, the formation and implementation of the MFV program with the guidance of NGOs and Islamic banking, and the subsequent empowerment of social piety among community members. Findings reveal that the MFV program effectively mitigates the detrimental effects of loan sharks, fostering economic stability and social well-being. Furthermore, the study demonstrates how the program contributes to the enhancement of social piety through increased awareness of Allah's supervision, the cultivation of ihsan (excellence in worship and conduct), and the promotion of beneficial social interactions within the community.
Syumuliyah of Islam: A Framework for Achieving SDG 3 (Good Health and Well-being)
Authors: Jakiyudin Ahmad Havid , Hardianti Hardianti
Published: January 2025

The 2030 Sustainable Development Goals (SDGs), particularly Goal 3: Good Health and Well-being, emphasize the importance of healthy living and well-being for all. This study explores the Islamic concept of Syumuliyah – the holistic and comprehensive nature of Islamic teachings – as a potential framework for achieving this critical SDG. Through a qualitative library research approach, this study examines how Islamic principles, including those related to health, hygiene, and spiritual well-being, can contribute to the realization of SDG 3. Findings indicate that Islamic teachings offer a comprehensive approach to health, encompassing physical, mental, and spiritual dimensions. Key elements include the importance of cleanliness, proper nutrition, physical activity, and spiritual practices such as prayer and reflection. Notably, medical education can be traced back to the verses of the Qur'an and the Sunnah of the Prophet Muhammad (SAW), emphasizing the importance of preventive healthcare and holistic well-being. By embracing the Syumuliyah of Islam, individuals and communities can cultivate healthier lifestyles and contribute to the overall well-being of society, thereby advancing the objectives of SDG 3.
CONSTRUCTION OF A MATHEMATICAL MODEL FOR FINDING A DANCE STUDIO IN THE FORM OF A LOGICAL NETWORK USING FINITE PREDICATE ALGEBRA
Authors: VECHIRSKA Iryna , VECHIRSKA Anna
Published: January 2025

The article is devoted to the research and implementation of methods and tools of finite predicate algebra for conducting a systematic analysis of the subject area, exemplified by the formalization of the task of finding a dance studio based on selected parameters.. Specifically, the process of choosing a studio depends on a number of parameters: the type of subscription based on the number of sessions, groups, specific dance style, the professionalism of the instructor, the location and proximity to certain types of transport, and the price. The goal of the work is to increase the processing speed of knowledge in the task of finding the optimal subscription by decomposing the initial multi-parameter relationship into a composition of binary ones. The methodology is based on the tools and methods of finite predicate algebra. The application of predicate decomposition in the method of constructing logical networks ensures parallel knowledge processing, thereby increasing query processing speed, while formalization through finite predicates provides universality in describing any subject area. Thus, the complex multi-parameter relationship was decomposed into a composition of binary relations, described in the language of predicate algebra, considering a detailed analysis of the subject area and further decompositions. The scientific novelty lies in the constructed mathematical model of the task of finding a dance studio, represented as a predicate depending on ten variables. This predicate is characterized by the composition of thirteen binary predicates, which are presented in the article as bipartite graphs and formulas of the corresponding predicates. The predicate of the model is a composition of all the constructed binary predicates. The practical significance is determined by the logical network built on the basis of the mathematical model, which allows transitioning from a "many-to-many" relationship to "one-to-one" relationships and parallelizing the information processing. The result of the work is the constructed logical network for the task of finding the optimal dance studio subscription based on specific input parameters, which facilitates the solution of synthesis, analysis, and comparison tasks.
СИСТЕМА ПІДТРИМКИ ПРИЙНЯТТЯ РІШЕНЬ ЩОДО ОПТИМІЗАЦІЇ ПРОЦЕСУ ВИРОЩУВАННЯ УРОЖАЮ ЗА ДАНИМИ ДИСТАНЦІЙНОГО ЗОНДУВАННЯ
Authors: ОКРУШКО Дмитро , ПАВЛОВА Ольга
Published: January 2025

У  статті досліджується розробка інформаційної системи для підтримки прийняття рішень у сільському господарстві, особливо зосереджуючись на оптимізації виробництва сільськогосподарських культур. Ця система використовує потужність даних дистанційного зондування (RS), яка пропонує цінну інформацію про здоров’я врожаю та стан навколишнього середовища з висоти пташиного польоту. Аналізуючи ці дані, запропонована система надає фермерам інформацію, необхідну для прийняття обґрунтованого вибору протягом сільськогосподарського сезону, що зрештою призводить до підвищення врожайності та покращення управління ресурсами.
Також розглянуто основні функції інформаційної системи. Детально описується процес отримання даних RS з різних платформ, таких як супутники Landsat, Sentinel-2 або PlanetScope. Тут обговорення наголошує на важливості вибору даних з відповідною просторовою та часовою роздільною здатністю для захоплення найбільш релевантних деталей для конкретних сільськогосподарських застосувань. Потім обговорюються методи попередньої обробки для обробки необроблених даних RS, окреслюються методи видалення шуму та помилок для забезпечення точності наступних аналізів. Далі в статті детально описується реалізація різних алгоритмів для аналізу даних. Ці алгоритми витягують значущі характеристики з попередньо оброблених даних RS, наприклад індекси рослинності, які дають уявлення про стан рослин і біомасу, або інші показники, які можуть виявити потенційний стрес урожаю через дефіцит поживних речовин або дефіцит води.
APPLICATION OF SIMD-INSTRUCTIONS TO INCREASE THE EFFICIENCY OF NUMERICAL METHODS FOR SOLVING SLAE
Authors: ZHULKOVSKYI Oleg , ZHULKOVSKA Inna , VOKHMIANIN Hlib , FIRSOV Alexander , TYKHONENKO Illia
Published: January 2025

Computational efficiency has become a key factor in progress across many fields of science and technology. However, traditional methods for improving the performance of computational systems have reached their limits, necessitating the search for new approaches to algorithm optimization. This paper explores the application of SIMD instructions to enhance the efficiency of numerical methods for solving systems of linear algebraic equations, particularly the Gauss method and the conjugate gradient method. The proposed approach enables the vectorization of computations, significantly reducing the number of iterative steps and accelerating algorithm execution. An optimization mechanism is presented, based on an analysis of the capabilities of SIMD instructions and their integration into existing SLAE-solving algorithms. The research includes an examination of the impact of vectorization on the performance and stability of numerical algorithms for problems of varying size, as well as a theoretical justification of the proposed approach’s effectiveness. The outcome of this work is the development of optimized versions of the Gauss and conjugate gradient methods, which demonstrate significant performance gains without loss of calculation accuracy. The proposed approach opens new perspectives for further development and improvement of numerical methods within the context of modern computing architectures, with broad applicability in engineering calculations, computer graphics, machine learning, and other fields where computational efficiency is of high priority.
THE PERFORMANCE OF CONVOLUTIONAL NEURAL NETWORKS USING AN ACCELERATOR
Authors: ISAIEV Tymur , KYSIL Tetiana
Published: January 2025

The effectiveness of convolutional neural networks (CNNs) has been demonstrated across various fields, including computer vision, natural language processing, medical imaging, and autonomous systems. However, achieving high performance in CNNs is not only a matter of model design but also of optimizing the training and inference processes. Using accelerators like the Google Coral TPU provides significant improvements in both computational efficiency and overall model performance. This paper focuses on the integration of the Coral TPU to enhance CNN performance by speeding up computations, reducing latency, and enabling real-time deployment.
Training deep learning models, particularly CNNs, is computationally intensive. Traditional CPUs or GPUs can take hours or even days to train large networks on complex data. The accelerator offloads these intensive tasks, allowing the host machine to focus on other operations and making training more efficient. This enables researchers to experiment with multiple architectures and hyperparameters within shorter cycles, thereby improving the model's accuracy and robustness.
CNNs are widely deployed in edge computing scenarios where real-time predictions are critical, such as in robotics, autonomous vehicles, and smart surveillance systems.Unlike traditional cloud-based solutions, where models are executed remotely and suffer from network delays, the Coral TPU ensures low-latency predictions directly on the device, making it ideal for time-sensitive applications.
Another key advantage of using accelerators like Coral TPU is the ability to efficiently handle optimized and lightweight models. These optimized models are well-suited for the Coral TPU’s architecture, allowing developers to deploy high-performing networks even on resource-constrained devices. The TPU’s ability to handle quantized models with minimal loss in accuracy further enhances the CNN’s practical usability across various domains.
The Coral TPU is designed to minimize power consumption, making it an ideal solution for battery-powered or energy-constrained devices. This energy efficiency ensures that CNNs can run continuously on devices like drones, IoT sensors, or mobile platforms without exhausting their power supply. Additionally, the scalability of the TPU makes it easy to deploy multiple accelerators in parallel, further improving throughput for applications that require processing high volumes of data, such as real-time video analysis.
The Coral TPU also facilitates on-device learning, where models can be incrementally updated based on new data without requiring a full retraining session. This feature is particularly useful in dynamic environments, such as autonomous vehicles or security systems, where the model needs to adapt quickly to new conditions. With the TPU handling the computational workload, CNNs can be fine-tuned on the device, ensuring they remain accurate and responsive over time.
INFORMATION SYSTEM FOR EARTH’S SURFACE TEMPERATURE FORECASTING USING MACHINE LEARNING TECHNOLOGIES
Authors: HOVORUSHCHENKO Tetiana , ALEKSEIKO Vitalii , SHVAIKO Valeriia , ILCHYSHYNA Juliia , KUZMIN Andrii
Published: January 2025

Temperature forecasting is a topical issue in many areas of human life. In particular, climate change directly affects agriculture, energy, infrastructure, health care, logistics, and tourism. Anticipating future changes allows you to better prepare for challenges and minimize risks. The paper presents an information system for forecasting the temperature of the Earth’s surface using machine learning technologies. The forecast is formed by a model adapted to the region, by learning on the basis of historical data and tracking the most inherent patterns. The selection and training of the model was carried out on the basis of the analysis of the characteristics of climatic zones, according to the Köppen classification. A comparison of the performance of models for forecasting the average monthly temperatures of the earth’s surface in different climatic zones was carried out.
The analysis of scientific publications confirmed the relevance of the chosen research topic. Modern approaches to forecasting climatic indicators are considered. Methods and approaches to temperature forecasting, their advantages and disadvantages are analyzed.
The peculiarities of the application of machine learning methods for temperature forecasting are considered, and the criteria for choosing the most accurate and least energy-consuming methods are determined. The research results made it possible to identify machine learning methods that best adapt to temperature patterns and allow accurate short-term forecasting. An approach for long-term forecasting using recurrent neural networks is proposed.
An information system has been developed for forecasting future temperatures depending on the climatic features of the studied territories based on the proposed methods. A concept for further research for the development and improvement of the developed information system has been formed.
CONCATENATION OF EFFICIENTNETB7 AND RESNET50 MODELS IN THE TASK OF CLASSIFYING OPHTHALMOLOGICAL DISEASES OF DIABETIC ORIGIN
Authors: PROCHUKHAN Dmitro
Published: January 2025

Diagnosing diabetic eye diseases by doctors using medical equipment requires significant resources. It is advisable to use automated tools. Using combinations of models improves classification accuracy.
The features of the architectures of convolutional neural networks EfficientNetB7 and ResNet50 are presented. The creation of a neural network model by concatenating the EfficientNetB7 and ResNet50 models is justified. Transfer learning is applied. The GlobalAveragePooling2D layer is added to each model. The models are combined using the Concatenate layer. The Flatten layer is added to the resulting model to convert the vector into a one-dimensional array.
Two Dropout layers are added to prevent overtraining. Two Dense layers with 512 and 256 neurons and the ReLU activation function are added for nonlinear data transformation and abstract feature extraction. A Dense layer with 4 neurons and the softmax activation function is added to determine the image class. l2-regularization is used in all Dense layers. The developed neural network model was applied to process a dataset of 4 classes: cataract images, diabetic retinopathy images, glaucoma images, and healthy retina images. The model is compiled using the Adam optimizer, the categorical cross-entropy loss function.
The callback functions ModelCheckpoint, LearningRateScheduler, EarlyStopping, and ReduceLROnPlateau are used to adjust the learning rate. The validation accuracy of the model is improved by augmentation (horizontal and vertical flipping), using l2-regularization, Dropout, and adjusting the callback functions. The training lasted 30 epochs.
The best validation accuracy of 97.39% was achieved at the 29th epoch. The best value of the validation function 0.4323  was achieved at the 30th epoch. The proposed neural network model outperforms the accuracy indicators of models proposed in similar studies. The model can be applied to disease detection and classification tasks.
THE INFLUENCE OF MIX MARKETING STRATEGIES AND CONSUMER PREFERENCES ON CONSUMER LOYALTY FOR ALGHIFARI RED GINGER DRINK PRODUCTS
Authors: Ramli Irna Marliana , Dasipah Euis , Permana Nendah Siti
Published: January 2025

Performance of the Marketing Mix Strategy (Mix Marketing Strategic) which includes the dimensions: product; prices; place; promotion on the Alghifari red ginger beverage business in Cianjur City obtained an achievement of 78.26% with good criteria. Performance of consumer preferences which includes dimensions / attributes: taste, aroma, colour, properties and packaging for consumers of Alghifari red ginger drink in Cianjur City achieved 79.27% good criteria. Demonstration of Consumer Loyalty which includes dimensions: taste, aroma, colour, properties and packaging of the Alghifari red ginger drink in Cianjur City achieved 79.08% of the Good criterion. There is a positive correlation between the Marketing Mix Strategy and the Consumer Preferences of Alghifari Red Ginger Drink as indicated by the correlation coefficient number r = 0.889 meaning that the better the Marketing Mix strategy is implemented, the better the consumer preference level will be. Marketing Mix Strategy and Consumer Preference have a significant effect on Consumer Loyalty of Alghifari Red Ginger Drink. The contribution of the influence of Consumer Preference is 70.74% greater than the contribution of the Marketing Mix Strategy of 19.50%. The remaining 9.76% is influenced by other factors.
Effect of Product Quality and Service Quality Customer Satisfaction of Yoghurt Milk Products
Authors: Safitri Dewi , Sukmawati Dety , Nataliningsih Nataliningsih
Published: January 2025

The purpose of this study was to determine the effect of product quality and service quality on customer satisfaction of yogurt milk products. The unit of analysis is the students of Pacet 1 State Vocational School, Pacet District, Cianjur Regency. Respondent identification technique was carried out by simple random sampling and 115 respondents were identified. The analysis technique used is path analysis. With the results obtained Product Quality Performance which includes dimensions: product aesthetics; Product benefits (yogurt milk); Durability and price suitability reach good criteria in Cianjur City at 81.40%. Diversity of service quality, including dimensions / attributes of direct evidence and reliability; responsive; and Yoghurt Milk Guarantee in Cianjur City reached 79.33% good criterion. Customer satisfaction, which includes the following dimensions: product quality; price factor; The cost factor and the availability of yogurt milk in Cianjur City reached a good criterion of 77.44%. There is a positive relationship between product quality and service quality of yogurt milk as indicated by the correlation coefficient r = 0.937. That is, the better the quality of market products applied, the better the quality level. Product quality and service quality clearly have a positive effect on yogurt milk customer satisfaction. The proportion of the influence of product quality is 48.72%, which is greater than the effect of service quality, which is 31.24%. The remaining 20.04% is influenced by other factors.
FACTORS AFFECTING THE DEVELOPMENT OF FOREST TOURISM CEMARA BEACH AND ITS IMPACT ON INCOME FARMER HOUSEHOLD
Authors: Gunawan Ridwan , Dasipah Euis , Dahtiar Agi
Published: January 2025

The objective of this study is to examine the factors that impact the growth of Cemara Beach Forest Tourism and its effect on the earnings of farmer households. The respondents were selected through the census method, with a total of 65 units. The approach employed for analysis was path analysis and paired t test. The study revealed that the attractiveness and tourism environment of Cemara beach forest, which includes Attractions, Amenities, Accessibility, and Auxiliary Services, had a good achievement level of 72.90%. Supporting Institutions for tourism also achieved a good criterion of 65.85%. Additionally, community participation showed good conditions with a good criteria achievement level of 61.92%. The development of Cemara Beach Forest Tourism attained a good criteria achievement level of 77.93%. Tourist Attraction and Environment had a positive correlation r = 0.89, indicating a very close relationship with Supporting Institutions. This suggests that the better the Supporting Institutions are, the better the Tourist Attraction and Environment. Community Participation demonstrated an indication of a very close relationship with Tourist Attraction and Environment. This implies that community participation increases with better tourist attractions and the environment. Supporting Institutions had a positive correlation r = 0.89 with community participation, indicating a close relationship. This implies that the better the Supporting Institutions, the better the community participation. Tourist Attraction and Environment, Supporting Institutions, and Community Participation had a positive effect on the development of Cemara beach forest tourism, with tourist attraction having the greatest influence at 46.85%, followed by Supporting Institutions at 25.82%, and Community Participation at 23.58%. The development of Cemara coastal forest tourism had a positive impact on the income of farmer households, increasing it by an average of 67.16%.
MANAGEMENT OF SOCIALISATION: A MICROECONOMIC APPROACH
Authors:   University of Customs and Finance, Petrunia Yurii , Maliar Dmytro ,   University of Customs and Finance, Petrunia Vira ,   University of Customs and Finance, Kovtun Nataliia ,   University of Customs and Finance
Published: January 2025

The aim of this study is to identify the objective factors of socialization, the driving forces
behind individual decisions to achieve a certain level of socialization, the maximization of total utility
from socialization, and the mechanisms for choosing the optimal amount of socialization and its self-
management.
The article examines leisure time, which can potentially be used for socialization, as the main
factor in socialization. It is established that the allocation of time for social interaction directly depends
on comparing the marginal utility of socialization with other activities, as socialization provides direct
pleasure or utility. Based on marginal utility indicators, the mechanism of a person’s decision-making
on increasing or decreasing social activity is determined.
The article applies the cardinalist and ordinalist approaches to study human social equilibrium,
a state in which maximum satisfaction of needs in communication or social relations is achieved.
According to the cardinalist approach, the equimarginal principle of achieving the optimal level of
social interactions is formulated. Under the ordinalist approach, it is shown that a person’s social
equilibrium occurs when the marginal rate of replacement of other activities with socialization equals
the ratio of the relative prices of socialization and other activities. The ordinalist approach is illustrated
through a graphical model of human social equilibrium by combining the line of social limitation and
the indifference curve in a single coordinate system.
The article demonstrates that the decision on the optimal amount of socialization is directly
influenced by the availability of free time for socialization and the time required for one social interaction. The presence or absence of free time essentially determines a person’s social limitation,
or the availability of socialization as a benefit. Meanwhile, the relative cost of socialization (time
per social interaction) determines how effectively available free time can be used for socialization.
Thus, unlike human preferences, free time and the relative cost of socialization are objective factors of
socialization.
The article introduces for the first time concepts such as human social limitation, marginal utility
of socialization, equilibrium level of socialization, marginal rate of replacement of other activities
by socialization, and constructs the line of human ‘social limitation’, the line of human ‘social
development’, the ‘time-socialization’ line, and the ‘price-socialization’ line. Additionally, a graphical
model of the optimal level of human social interactions is presented, and types of digital pseudo-
socialization are identified.
Assessment of Knowledge and Attitude of Primary Healthcare Workers toward COVID-19 Vaccine Compliance in Gusau Metropolis, Zamfara State, Nigeria
Authors: DAHIRU AMINU , Umar A. B. , Balarabe R. , Lawali Yakubu , Sani M. S.
Published: January 2025

The global impact of the COVID-19 pandemic has severely affected healthcare systems worldwide. COVID-19 has led to significant morbidity and mortality globally, including substantial cases and deaths in Nigeria. The roles of the healthcare worker in the uptake of the Covid-19 vaccine are enormous in education, information dissemination, building trust, motivation and support, accessibility and logistics, monitoring and follow-up, the importance of their knowledge and attitude is of paramount importance in helping the members of the community to make informed decision, demonstrate positive attitudes, serve as community role models and addressing misinformation. The study aimed to: Asses knowledge and to determine the attitudes of primary healthcare workers towards COVID-19 vaccination compliance in Gusau Metropolis. Descriptive cross-sectional design was employed. 128 primary healthcare workers were sampled. Multistage random sampling was used to select the population. Using a structured questionnaire conducted data collection, the responses were analysed using descriptive statistics for knowledge and attitude and inferential statistics of the Chi-square test to explore the relationship between knowledge and attitudes toward vaccine compliance. Findings showed that 65.6% of respondents possessed good knowledge about the COVID-19 vaccines. The attitudes towards the vaccines were positive, evidenced by an average attitude score of 3.0, indicating favourable vaccine compliance. There was a relationship between the knowledge of covid-19 vaccine and attitudes toward covid-19 vaccine compliance. The study concluded that primary healthcare workers in Gusau are well-informed about COVID-19 and possess positive attitudes towards COVID-19 vaccination.
Obezite Ayrımcılığı ve Obeziteyi Önlemeye Yönelik İşyeri Uygulamaları
Authors: Ayas Saim
Published: January 2025

Obezite tüm dünyada artış gösteren bir sağlık problemidir. Birçok ülkede obezite ile mücadelede işverenlerde önemli bir faktör olarak görülmektedir. Obez bireyler işyerlerinde işe alım, terfi, ücret artışı ve işten çıkarma biçiminde görülen ayrımcılığa maruz kalabilmektedirler. Obezite işçi verimliliğine doğrudan etki edebilmektedir. Verimlilik kayıpları ekonomik kayıplar biçiminde kendini göstermektedir. Bu araştırmada fazla kilolu bireylerin işyerlerinde ayrımcılığa maruz kalıp kalmadıkları, obezitenin çalışanların verimliliklerine etkisi, işyerlerinde obeziteyi engellemek için kilo yönetim programlarından hangi tür teşviklerin etkili olabileceği ve işverenlerin obezite ile mücadele etkin bir faktör olarak yer alıp alamayacağının tespit edilmesi amaçlanmıştır. Örnek olay yönteminin kullanıldığı araştırmada analiz birimi olarak ağır emek gücünün yoğun kullanıldığı çelik-metal iş kolu seçilmiştir. Araştırmada veriler karma yöntem araştırma desenlerinden açıklayıcı ardışık desen yöntemi ile toplanmıştır. Araştırma sonuçlarına göre çalışanlar işyerinde fazla kilolarından ötürü ayrımcılığa uğramadıkları görülmüştür. Fazla kilolu çalışanların verimliliklerinde kayıplar yaşadığı, iş kazalarına daha açık oldukları ve aşırı kilolarına bağlı olarak ekstra izin kullanımı biçiminde görülen üretkenlik kayıpları yaşadığı tespit edilmiştir. Çalışanlar kilo yönetim programlarında ücretsiz spor salonu üyeliği, tatil, hobiye dayalı aktivitelere teşvik, ekstra izin günü ve kaybedilen kilo başına prim gibi teşviklerin etkili olabileceği tespit edilmiştir. Araştırmada sonuçlarına göre işveren odaklı politikaların obeziteyi önlemede etkin bir faktör olabileceği ve uzun vadede işçi verimliliğine etki ederek ekonomide yaşanan verimlilik kayıplarını azaltmada etkili olabileceği düşünülmektedir.
Nükleer Teknoloji: Siyasi-Toplumsal Statüko
Authors: Cengiz Recep , Cengiz İlyas Fırat
Published: January 2025

Bilimsel ve teknolojik gelişmeler hem bir sırrın ortaya çıkmasına hem de her türden siyasal ve toplumsal statükonun kurulmasında etki eden önemli faktörler arasındadır. Bu bağlamda nükleer teknoloji, ulusal ve uluslararası boyutta olumlu ve olumsuz birçok parametreye sahiptir. Nükleer teknolojinin olumlu olarak nitelendirebileceğimiz parametrelerinden biri, kömür, gaz ve petrol gibi diğer enerji kaynaklarının riskleri ile karşılaştırıldığında çevreye ve insan sağlığına etkisinin daha güvenli gözükmesi olarak söylenebilir. Nükleer teknolojinin sürdürülebilir bir ekonomik büyümenin temel dinamiklerinden olması, onu toplumsal refaha etkisi bağlamında olumlu bir araç olarak sunmaktadır. Buna karşılık nükleer teknolojinin olumsuz parametrelerinden sayılabilecek hiç şüphesiz nükleer silahların kullanımı ve nükleer kazalar sonrası oluşan radyasyon temelli çevresel felaketlerdir. Kaynakların eşitsiz dağılımına olan etkisi göz önüne alındığında da bir tür eşitsizlik aracı olarak olumsuz işlev görmektedir. Dolaysıyla, nükleer teknolojiyi kontrol eden bilgi toplumları bu üstünlüğü kendileri için seçilmiş bir zafer olarak görüp, kendileri lehine bir statüko kurmuşlardır. Bilgi toplumunun ana unsurlarından birisi olarak (nükleer) teknoloji dünya düzeni içerisindeki siyasi ve toplumsal farklılaşmayı belirleyen ana eksenlerden birisini oluşturmaktadır. ABD önderliğinde, Birleşmiş Milletler sisteminin ve özellikle Uluslararası Atom Enerjisi Kurumunun etki altına alınmasıyla oluşturulan bir nükleer düzen kurulmuştur. Bu statüko bilgi ve iptidai toplumlar arasındaki ikircikli ve üstüncül siyasi-sosyal ilişkilere dayanmakta olup, nükleer teknoloji ve silah erişiminin engellenmesi/kısıtlanması ve kontrol edilmesi gibi araçlarla yürütülmektedir.
Türkiye ve Azerbaycan’da Güçler Ayrılığı İlkesinin Anayasalar Özelinde Karşılaştırılması
Authors: Kan Muhammed Enes , Kantar Gökmen
Published: January 2025

Bu çalışmanın amacı Türkiye ve Azerbaycan’ın güçler ayrılığı ilkesinin görünümünün ve yasama, yürütme, yargıya ilişkin düzenlemelerinin karşılaştırılmalı olarak incelenmesidir. Bu amaç çerçevesinde Türkiye Cumhuriyeti Anayasası ve Azerbaycan Cumhuriyeti Anayasası doküman incelemesi yöntemi ile incelenmiş ve nitel araştırmalarda sıklıkla kullanılan içerik analizi yöntemiyle analiz edilmiştir. Makalede elde edilen bulgular Türkiye ve Azerbaycan anayasalarının yasama, yürütme ve yargıya ilişkin düzenlemeleri arasında oldukça büyük benzerlikler olduğunu ortaya koymuştur. Her iki ülkede de yasama yetkisi halk tarafından seçilen meclislere, yürütme yetkisi Cumhurbaşkanına, yargı yetkisi ise bağımsız mahkemelere verilmiştir. Aralarında küçük farklılıklar olsa da her iki ülkede de yasamayı oluşturan milletvekilleri ve yürütmenin başı olan Cumhurbaşkanında aranan nitelikler açıkça belirtilmiş, yaşa dayalı tecrübe, eğitim seviyesi ve ülke vatandaşı olma kriterlerine önem verilmiştir. Hem Türkiye hem de Azerbaycan anayasasında Cumhurbaşkanına yardımcı bir üst kurul niteliğinde olan Bakanlar Kurulu bulunmasına rağmen, özellikle başında bir başbakanın bulunması, düzenleme yapabilme yetkisinin verilmesi ve anayasada çeşitli görev ve yetkiler açıkça düzenlenmesi açısından Azerbaycan’da Bakanlar Kurulu’na daha özel bir statü verildiği görülmüştür. Anayasaların her ikisinde de yargı bölümlerinde mahkemeler ile hakim ve savcıların bağımsızlıkları anayasal güvence altına alınmış ve özellikle Anayasa Mahkemesi’ne ilişkin düzenlemelere geniş bir yer ayrılmıştır.