bluuebunny/crossref_metadata_2025 huggingface dataset:
Socio-pedagogical challenges and prospects for interdisciplinary and integrated support to families and children in the early years
Authors: Stoeva Desislava
Published: January 2025

The present report delves into the socio-pedagogical challenges and prospects for interdisciplinary support of education, social, and healthcare services to families and children in yearly years – from birth to first grade in Bulgaria. The analysis explores the adoption of related strategic documents in recent years in Bulgaria and examines indicators for the quality of ECEC in Bulgaria. A review of specialized literature, scientific studies, international reports, and analyses was conducted, with data spanning ten years, from 2014 to 2024. The study reveals that Bulgaria needs to place additional effort into a unified and consistent policy and regulatory framework for interdisciplinary educational, healthcare, and social services support for families and young children. However, our analysis showed that socio-pedagogical instruments must be implemented to improve the integration of the three service areas and to broaden the implementation of educational innovations to enhance the quality of ECEC in Bulgaria.
Some aspects in the construction of a drama context for the application of Theater in Education (TiE)
Authors: Vasileva Radka , Hardalova Poliksena , Barbosa Sonia
Published: January 2025

The guiding idea is that constructing a drama context is a process in which students actively participate with their own suggestions. The specific drama constructs are introduced and managed throughout the process by the drama leader of the session. The authors’ concept is based on theater and drama practices used for the first time in Edward Bond’s drama theory and their own theoretical and applied training experience. The aspects that are assumed to build an effective drama context for educational purposes focus around two constructs: the central line of the character and the central line of the conflict, which create opportunities for engagement where participants can question their generation’s ways of solving problems. In the educational environment of the dramatically prioritized non-linear situations and staged events, it is assumed that they can make sense of and form their own critical reflections in relation to the studied problem.
Greek school drama: Teachers vs. headmasters in 2024
Authors: Okoutsidou Maria
Published: January 2025

We all know how high school was basically one big popularity contest, the jocks, the nerds, the outcast, the cliques. Well, it turns out that the drama doesn’t end after graduation and only to students. The struggles and conflicts are carried right over into the teachers’ lounge and the headmaster’s office. In this article we try to find the reasons for this conflict and strategies to improve their relationship.
Activities of Daily Living in a Iranian Man With Cervical Spinal Cord Injury Based on the Model of Human Occupation
Authors:   Department of Occupational Therapy, Faculty of Rehabilitation Sciences, Iran University of Medical Sciences, Tehran, Iran., Derakhshanfar Maryam , Karamali Esmaeili Samaneh ,   Department of Occupational Therapy, Faculty of Rehabilitation Sciences, Iran University of Medical Sciences, Tehran, Iran.
Published: January 2025

Background and Objectives: Since all aspects of occupational performance are affected by cervical spinal cord injury (SCI), one of the goals of occupational therapy for these clients is to restore the abilities and routines necessary for independence in activities of daily living (ADL). The model of human occupation (MOHO) seems to help occupational therapists develop a framework for clinical reasoning about the living conditions of people with cervical SCI emphasizing the interaction between volition, habituation, and performance capacity. This study aims to investigate the use of MOHO in occupational therapy for cervical SCI and focuses on the significance of comprehending and adjusting to these specific needs to improve their participation in purposeful daily activities leading to occupational adaptation.
Case Presentation: The focus of this study is on a 26-year-old man who experienced a cervical SCI at the C6 level due to a diving accident. He exhibits varying degrees of motor and sensory deficits, characterized by partial upper extremity function and complete loss of function in the lower extremities. The client expresses a strong desire to develop skills for safe and effective transfers, the need for strategies that promote community reintegration and social interaction, and adaptive strategies and utilize assistive devices that will enable him to perform ADLs with greater independence.
Conclusion: Because in a person with cervical SCI, values and interests, internalized roles, and performance capacities are affected by impairment, designing a program based on the MOHO will help occupational therapists perform more effectively.
The Face and Content Validity of the Persian Version of Occupational Identity Questionnaire in People With Multiple Sclerosis
Authors:   Department of Occupational Therapy, School of Rehabilitation, Iran University of Medical Sciences, Tehran, Iran., Eshghi Mahya , Akbarfahimi Malahat ,   Department of Occupational Therapy, School of Rehabilitation, Iran University of Medical Sciences, Tehran, Iran., Taghizadeh Hajlouee Ghorban ,   Rehabilitation Research Center, School of Rehabilitation, Iran University of Medical Sciences, Tehran, Iran., Hojati Abed Elahe ,   Department of Occupational Therapy, School of Rehabilitation, Iran University of Medical Sciences, Tehran, Iran.
Published: January 2025

Background and Objectives: Occupational identity (OI) is a crucial factor in occupational therapy evaluations and interventions which is not investigated in chronic conditions, including multiple sclerosis (MS). The Occupatinal Identity Questionnaire (OIQ) is an appropriate tool for assessing occupational identity. As a result, this research aims to adapt the Persian version of OIQ for people with MS and evaluate its face and content validity.
Methods: The face validity of OIQ was qualitatively and quantitatively evaluated with 15 participants diagnosed with MS. Interviews were used to qualitatively assess the face validity. In addition, the item impact method (IIM) was applied to quantitatively assess face validity. A total of 12 experts with experience in the field of neurology participated in evaluating content validity. The content validity ratio (CVR) and the content validity index (CVI) were applied in this evaluation.
Results: All the items received IIM scores above 1.5 (3.03 to 4.62). Also, none of the items were mentioned as incomprehensible during interviews. The CVR scores for each item ranged from 0.63 to 1 (based on Lawshe >0.59). After that stage, a CVI study was conducted. In that study, scores for each item ranged from 0.83 to 1. S-CVI/Ave score was 0.94 and scale CVI/universal agreement (S-CVI/UA) was 0.57. Based on experts’ comments, it was determined that adjustments were necessary for item number 6 and 10.
Conclusion: The Persian version of the OIQ demonstrates acceptable face and content validity in the context of MS. It is recommended to conduct a test re-test, internal consistency, construct validity, and factor analysis.
A Comprehensive Study on e-WOM Determinants Influencing Consumers’ Purchase Decision
Authors: Dr. Surbhi Jain  , Priyanka Rani
Published: January 2025

In this digital age consumers share their experience about product and service with others digitally. This online sharing is known as electronic words of mouth, online word of mouth, Internet word of mouth (iWOM), Virtual words of mouth (vWOM). It may be between the consumers or may be between thee marketer and consumer in the form of blogs, discussion forum and consumer review. Consumers trust on electronic word of mouth more as it is unpaid form of advertising. After COVID 19 pandemic consumers trust on other consumer reviews increased. They read other customers reviews about product and service before making any purchase decision. There are several e-WOM factors which influence the consumers’ purchase decision. This study focus on those factors which influence consumers’ purchase decision. This research work is based on previous literature of electronic word of mouth. The review showed us e-WOM Quality(Valence), e-WOM Quantity(Volume), Source homophily, Source credibility, Website credibility, Tie strength are the factors which affect customers purchase decision.
Detection of SQL Injection Attack Using Machine Learning Techniques
Authors: Bhanu Pratap Singh  , Prof. Manish Kumar Singhal
Published: January 2025

SQL injection attacks (SQLIAs) remain a prevalent threat to web applications, exploiting vulnerabilities in database interactions to compromise data security. Detecting such attacks effectively is crucial for ensuring robust application security. This study investigates the use of machine learning techniques to identify SQLIAs by analyzing patterns and features in SQL queries. A dataset comprising both legitimate and malicious SQL queries is utilized to train and evaluate various machine learning models, including decision trees, support vector machines, and neural networks. The proposed approach achieves high accuracy in distinguishing between benign and malicious queries, showcasing the potential of machine learning for proactive SQLIA detection. The findings highlight the importance of feature selection, algorithm choice, and real-time detection capabilities in mitigating the risk of SQL injection attacks. This research provides a foundation for developing intelligent, automated systems to enhance the security of database-driven applications.
Effect of Zinc Nano Fertilizer on the Growth of Spinach (Spinacea Oleracea L.)
Authors: Umesh B. Kosurkar  , Tulshiram L. Dadmal
Published: January 2025

The field experiment was conducted during summer season in India with five different treatment combinations; Current experiment was laid out in order to compare different kinds of vermicompost and chemical fertilizers including nano fertilizer application in growing spinach under the open-field conditions. The result revealed that growth in term of number of leaves, plant height, leaf area, leaf yield and leaf quality. The growth performance in respect of plant height, numbers of leaves and leaf area were found to be maximum in through Zinc nanoparticles but which was found to be at far with vermicompost. Considering the aforesaid issue, a pot experiment was conducted to assess the performance of fertilizers on growth, yield and height of Spinach (Spinacea oleracea Linn) with treatments zinc nanoparticles (T1), mix zinc boron (T2), zincate (mix zinc, phosphate, sulphate) (T3), Vermicompost (as feed) (T4) and without any fertilizers (T5) were organized in garden. The experiment was a completely randomized design during 45 days.
Earth Air Tube Heat Exchanger Novel Way for Energy Saving
Authors: Dr Rajendra R Chaudhari  , Sunil R Kewate  , M.S. Satpute  , N K Faye  , K P Pinjarkar
Published: January 2025

The demands of cooling energy & thermal comfort requirements are rapidly increasing day by day due to the global warming effect. The temperature of Tropical and Subtropical regions is as high as 50 ℃ in summer, and it is as low as below 10 ℃ in winter. So we may utilize the fact that the temperature of the earth at a depth of 2–3 m is constant throughout the year irrespective of the season, and that constant temperature is called earth undistributed temperature (EUT) so this may be utilized for heat rejection of air in the summer for cooling purpose (heat source) and heat addition of air in the winter for the heating purpose. The current setup is developed to explore the possibility of Earth Air Tube Heat Exchanger (EATHE) installation for heating and cooling in this region to curb the demand for energy Consumption. In the present research, a setup of Earth Air Tube Heat Exchanger (EATHE) is modelled in solid work and computational fluid dynamics software is used to analyse the performance of EATHE. The results are calculated by considering prominently two PVC and copper pipe materials, measurement of atmospheric temperature and inside temperature of soil at a depth of 6 feet in summer is done. Calculations of the amount of heat transfer and work input to the blower were done by applying suitable thermodynamic formulae and boundary condition. It has been found that a significant temperature drop has been found with the present Earth Air Tube Heat Exchanger (EATHE) modelled and proved to be very effective and novel technique which utilized geothermal energy to our advantage.
Quality Assessment Models in Public Transportation Services
Authors: Sunil R Kewate  , Dr Rajendra R Chaudhari  , Dr. Vivek R. Gandhewar
Published: January 2025

Public authorities, transport agencies and private operators need to work together to continuously improve the performance of public transport. Any public transportation company must use a systemic survey-based approach that critically analyses client requirements in order to assess its success. Using the SERVQUAL model, an effort is made to gain a better knowledge of passenger attitude and satisfaction with the services offered by the public bus transportation system (MSRTC) in the model that is presented. The comparative cost benefit model is to find out the Ideal alternative with the highest Parameters (Benefit/Cost Ratio, NPV and IRR). In the presented model, an attempt is made to understand better alternative for investment with constant the level of passenger satisfaction towards services provided by the public bus Maharashtra State Road Transportation Corporation in India (MSRTC) and Private Bus Services in Maharashtra using comparative cost benefit model. In the presented last model, the methodology suggested that the decision making model helps us to know what facilities are to be put on priority for improvements. So, a decision making model is formulated for the two alternatives MSRTC (Maharashtra State Road Transport Corporation) and private bus services in which a decision factor is calculated based on the cost allotted to the particular facility and the negative response to that facility. This decision factor helps us to know which facility or parameter should be improved on priority which directly led to the improvement of services to increase the rate of customer satisfaction. In the presented model, the priority sequence to all the nine facilities is obtained for both the alternatives. Furthermore, the integrated framework of this study can enhance public transport performance and give customer satisfaction.
Peran Dinamis Generasi Muda Dalam Mendorong Partisipasi Politik di Indonesia
Authors:   Universitas Slamet Riyadi, Azizah Nur
Published: January 2025

The younger generation plays a crucial role in promoting political participation in Indonesia, especially in the context of advancing democracy. This article discusses the dynamic role of young people in stimulating political voice and action for the future of Indonesia. In recent decades, youth involvement in politics has significantly changed, with an increasing awareness of political rights and the advancement of technology, making information more accessible. Despite challenges such as low trust in the political system and gaps in access to political education, Indonesian youth are becoming more active on various political platforms, both directly and through social media. Using a mixed-methods approach, combining quantitative surveys and qualitative case studies, this research aims to provide insights into how the younger generation can more effectively advocate for their political interests. A total of 69 respondents from various social, educational, and geographical backgrounds participated in the quantitative survey through an online questionnaire. This study also involves qualitative analysis through in-depth interviews and case studies, exploring internal and external factors that influence youth political participation. The findings of this research are expected to encourage more inclusive and sustainable changes in the future.
Strategies to Strengthen Vocational Education in Islamic Contexts: Preparing Madrasah Aliyah to Face the Challenges of Industry 4.0
Authors: Saridudin Saridudin , Rahim Husni , Rosyada Dede , Zuhdi Muhammad , Dahri Harapandi
Published: January 2025

Many efforts have been made to strengthen vocational education in Madrasah Aliyah, one of which is by implementing skills education. However, this effort has not been running optimally because the right strategy has not been implemented. This study aims to analyze the strategy for strengthening vocational education in Madrasah Aliyah in responding to the challenges of the industrial era 4.0. This study examines how the orientation of the curriculum and school culture develops in Madrasah Aliyah so that they are relevant to the business world and industry and maintain their Islamic existence. This study uses a qualitative phenomenological approach involving two Madrasah Aliyah in West Java: MAN 1 Garut and MAN 3 Tasikmalaya City. Using a purposive sampling technique, the researcher selected two principals, eight vice principals, 15 teachers, and 45 students, each representing each school. The results of the study indicate that the strategy for strengthening vocational education in Madrasah Aliyah is to implement skills education that is linked and matches and is relevant to the demands of the Industrial Revolution 4.0 by considering three aspects, namely the curriculum, school culture-oriented towards Islamic culture, and building partnerships with the Business World and Industry. This study concludes that implementing vocational education by organizing several skills education in Madrasah Aliyah is the right choice in responding to the challenges of Industry 4.0, especially the demands of the world of work. This study recommends the importance of preparing entrepreneurial competencies for Madrasah students so that they are ready to face the challenges of the world of work in the era of the Industrial Revolution 4.0.
Dependence of nanocrystal heat capacity on its size and shape under different P-T conditions
Authors: Magomedov Mahach N.
Published: January 2025

We have studied the changes in specific (per atom) heat capacity (isochoric Cv and isobaric Cp) when going from macro- to nanocrystal of cubic or rod-shape at different pressures (P) and temperatures (T). The calculations were made within the analytical method of the RP-model for the fcc gold. When calculating the heat capacity, other properties, related to it, were studied: Debye temperature (Θ), the first (γ) and second (q) Gruneisen parameters, the elastic modulus (BT), and the thermal expansion coefficient (αp). The pressure derivatives of these functions were also studied: Θ′(P), B′(P), αp′(P), Cv′(P), and Cp′(P). It was shown that with an isomorphic-isothermalisobaric decrease in the nanocrystal size, the Θ, q, BT functions decrease. In doing so, the next functions increase: Θ′(P), γ, αp, ⎥αp′(P)⎥, Ci(P), ⎥Ci′(P)⎥. It was shown that the function B′(P) can change its size dependence when the P–T conditions change. When the nanocrystal shape deviates from the energy-optimal shape, the size changes of the baric dependences increase.
A comprehensive review on citrus leaf disease image classification using machine learning techniques
Authors: Nagineni Venkata Sireesha , Gillala Rekha , Gupta Arpita
Published: January 2025

The conventional methods adopted by the formers for leaf disease detection and classification can be monotonous and unreliable. It is challenging for formers sometimes to attempt and anticipate the type of disease manually. The inability to early diagnose the disease and erroneous predictions may damage the crop, resulting in loss of crop production. To prevent losses and increase crop production, computer-based image classification methods can be adopted by the formers. Several methods have been suggested and utilized to predict crop plant diseases using pictures of unhealthy leaves. Investigators are currently making significant advances in the detection of plant diseases by experimenting with various methodologies and models. Artificial Neural Networks (ANNs) stand out as a widely employed machine learning method for effectively classifying images and predicting diseases. Alongside ANNs, other prevalent algorithms include Linear Regression (LNR), Random Forest Algorithm (RFA), Support Vector Machine (SVM), Convolutional Neural Networks (CNN), and k-nearest Neighbor (KNN). Combining these algorithms has been explored in various studies to enhance accuracy. This review examines their application in classifying diseases in citrus crop leaves, focusing on metrics like Accuracy, Precision, and Sensitivity. Each algorithm has its strengths and weaknesses in disease identification from leaf images. The accuracy and effectiveness of these algorithms depend significantly on the quality and dimensionality of the leaf images. Therefore, a reliable leaf image database is crucial for developing a robust machine-learning model for disease detection and analysis.
Insight into the anti-cancer and anti-viral therapeutic properties of biological active molecule prodigiosin
Authors: Shafqat Amna
Published: January 2025

Bioactive compounds from natural sources play an important role as an immunomodulator in diseases such as cancer, inflammatory and viral diseases. Immunomodulator functions to regulate the immune system and defends against infectious foreign particles. Naturally occurring bioactive compounds have been shown to boost the immunity and increase the anti-cancer immune response, as well as in cancer patients. Prodigiosin is reported as an anticancer agent and effective against multiple tumor cell lines and also combat to viral diseases. Innate cytotoxicity is one of the main problems linked with the use of immunosuppressants, especially in oncology that leads scientists toward the application of combined regimens. In this perception, prodigiosin offers an interesting perspective of combinatorial applications. However, the major devastating limitation associated with its use is an infectious strain: Serratia marcescens source linked with a few harmful pathologies in mammals. The present article will review the potential roles of prodigiosin as a key player of immunomodulator in different immune cells such as T and B lymphocytes, macrophages, dendritic cells and natural killer cells as well as antiviral activity.
Application of Rapid Filters for Cleaning Natural Water in the Conditions of the Kyrgyz Republic
Authors:   Department of Water Supply and Sanitation, Kyrgyz State Technical University named after I. Razzakov, Bishkek, Kyrgyz Republic. Email: tashm.karimov@gmail.com, Karimov Tashmuhamed , Kyzy Nazira Baigazy ,   Department of Water Supply and Sanitation, Kyrgyz State Technical University named after I. Razzakov, Bishkek, Kyrgyz Republic. Email: naz_baigazy@outlook.com, Karimova Malika ,   Department of Water Supply and Sanitation, Kyrgyz State Technical University named after I. Razzakov, Bishkek, Kyrgyz Republic. Email: ma.karimova@hotmail.com, Yugay Irina ,   Department of Water Supply and Sanitation, Kyrgyz State Technical University named after I. Razzakov, Bishkek, Kyrgyz Republic. Email: irinayugay@outlook.com
Published: January 2025

This study evaluates the implementation and effectiveness of the rapid filtration method for enhancing natural water treatment in the Kyrgyz Republic, where outdated water treatment systems reduce both efficiency and reliability. The study examines the effectiveness of rapid filters in improving contaminant removal to meet modern water quality standards. Key aspects such as filtration efficiency, operational benefits, and coagulant incorporation, are assessed by comparing rapid filters with traditional slow sand filtration methods. The study employs empirical analysis, evaluations of existing systems, and case studies of filter-loading materials. Findings indicate that rapid filters significantly enhance water treatment efficiency, particularly when using advanced filter media that increase surface area. The integration of rapid filtration into water treatment facilities in Kyrgyzstan can provide significant environmental and economic benefits. This method offers a strategic framework for modernizing water treatment plants to improve public health and environmental sustainability.
Striving for Sustainable Development of Ukraine: Guest Editorial
Authors:   Professor, Department of Management and Public Administration, Hryhorii Skovoroda University in Pereiaslav, 79034, Lviv, Ukraine. Email: z.burik@ukr.net, Buryk Zoriana
Published: January 2025

The special issue on the Sustainable Development of Ukraine aims to study the multidimensional nature of ensuring Ukraine's sustainable development and develop practical recommendations for overcoming challenges by integrating scientific achievements, technological innovations, and management strategies. The objectives of the special issue are to study the role and analyse the prospects for the introduction of innovative technologies and digitalization in ensuring the sustainability of the Ukrainian economy; to analyze the regulatory framework and political mechanisms aimed at shaping a sustainable development strategy in Ukraine; to study environmental approaches and analyse the state and key stages of the implementation of the circular economy; to identify social aspects and develop practical solutions for priority areas of social impact, in particular, education, emotional intelligence and social inclusion.
Legal Protection of Environment in Conditions of War: Theoretical and Practical Analysis
Authors:   Department of Labour, Environmental and Agricultural Law, Vasyl Stefanyk Precarpathian National University, Ivano-Frankivsk, Ukraine. Email: zoryana.yaremak@pnu.edu.ua, Yaremak Zoryana , Danyliuk Lesia ,   Department of Labour, Environmental and Agricultural Law, Vasyl Stefanyk Precarpathian National University, Ivano-Frankivsk, Ukraine. Email: lesia.danyliuk@pnu.edu.ua, Kobetska Nadiia ,   Department of Labour, Environmental and Agricultural Law, Vasyl Stefanyk Precarpathian National University, Ivano-Frankivsk, Ukraine. Email: nadiia.kobetska@pnu.edu.ua
Published: January 2025

The paper investigates the issues of international legal regulation of environmental protection and ensuring environmental security during armed conflict. It is substantiated that environmental protection during armed conflict should be based not only on the application to the environment of the rules for the protection of civilian objects but also on the recognition of the need to ensure special protection of the environment as such. An important point of the research is the search for a legal mechanism for the proper provision of compensation for damage caused to the environment, the calculation of the amount of damage and an effective procedure for such compensation. The article outlines the main problems, results, and prospects of the newest legal mechanism being formed in Ukraine to ensure compensation for the damage caused to the environment by Russia’s military actions. In this article, attention is paid to the following key issues: types and features of the activities of subjects (state authorities and civil society organisations) in ensuring compensation for damage to the environment; problems of collecting, analysing, recording, and verifying evidence of damage caused; regulatory mechanisms for determining the amount of compensation for damage; problems of achieving real compensation for damage. The study also defines the prospects of Ukraine’s post-war environmental policy from the perspective of ensuring environmental security. For this purpose, the provisions of the Law of Ukraine “On Environmental Protection” were analysed on the matter of guaranteeing environmental security in wartime. It is concluded that the post-war restoration of the Ukrainian environment should be multifunctional because, in addition to eliminating the consequences of military actions, it should also meet the new standards of the European community.
Typology Model of Emotional Intelligence Development in Civil Servants Engaged in Implementing Sustainable Development in Ukraine
Authors:   Department of Administrative and Financial Management, Lviv Polytechnic National University, Lviv, Ukraine.  Email: nazar.y.podolchak@lpnu.ua, Рodolchak Nazar , Karkovska Veronika ,   Department of Administrative and Financial Management, Lviv Polytechnic National University, Lviv, Ukraine.  Email: veronika.y.karkovska@lpnu.ua, Tsygylyk Natalia ,   Department of Administrative and Financial Management, Lviv Polytechnic National University, Lviv, Ukraine.  Email: nataljatsyg@ukr.net, Dziurakh Yurii ,   Department of Administrative and Financial Management, Lviv Polytechnic National University, Lviv, Ukraine.  Email: yriu.dziurakh@ukr.net
Published: January 2025

In the contemporary context of global crises, such as the COVID-19 pandemic and the Russian-Ukrainian conflict, public servants' efficacy in managing natural resources critically depends on their emotional intelligence (EI). This study examines the critical role of EI in public servants managing natural resources during the COVID-19 pandemic and the Russian-Ukrainian conflict. These crises underscore the necessity of understanding public servants' emotional resilience, anxiety levels, and social competence to enhance their effectiveness and adaptability. The research explores whether public servants can be categorized into more than three typologies of EI development. It hypothesizes four distinct types: “Child”, “Student/Pupil”, “Specialist/Worker”, and “Professional/Manager” characterized by unique combinations of emotional intelligence, anxiety, and social competence. A structured survey was administered on 150 public servants across Ukraine via Google Forms, covering demographic and professional variables. A refined sample of 30 participants, balanced by gender, geographic region, and service category, was subjected to cluster analysis. The findings revealed clear distinctions among the proposed typologies. The “Child” type represents individuals with low EI, high anxiety, and limited social competence, while the “Professional/Manager” type includes those with advanced EI, minimal anxiety, and strong social skills. Intermediate types, “Student/Pupil” and “Specialist/Worker,” exhibit developmental trajectories toward higher emotional intelligence and professional competence. This typology provides a practical framework for designing tailored interventions aimed at improving the emotional intelligence of public servants. Recommended strategies include stress management techniques, mentoring, and continuous professional development programs. This study offers a novel approach to understanding and addressing the emotional and professional needs of public servants during periods of uncertainty.
Green Entrepreneurship Strategies: Integrating Eco-Friendly Energy Technologies with the Digital Economy
Authors:   Department of Entrepreneurship and Trade, West Ukrainian National University, Ternopil, Ukraine.  E-mail: olhasobko754@gmail.com, Sobko Olha , Gavkalova Nataliia ,   Public Administration and Economic Policy Department, Simon Kuznets Kharkiv National University of Economics, Kharkiv, Ukraine. E-mail: gavkalova@gmail.com, Kurbatska Larysa ,   Department of Marketing, Dnipro State Agrarian and Economic University, Dnipro, Ukraine  E-mail: kurbatska.l.m@dsau.dp.ua, Boichyk Vitalii ,   Department of Entrepreneurship and Trade, West Ukrainian National University, Ternopil, Ukraine.  E-mail: vboychyk@gmail.com, Krysovatyy Ihor ,   Department of Entrepreneurship and Trade, West Ukrainian National University, Ternopil, Ukraine.  E-mail: i.krysovatyy@wunu.edu.ua
Published: January 2025

Integrating innovation, energy-saving technologies, and the digital economy is crucial for achieving sustainable development, increasing competitiveness and ensuring a high quality of life. Addressing this issue requires a comprehensive approach involving cooperation between governments, businesses and society to achieve shared goals. This study evaluates the interaction between energy-saving technologies and the digital economy in green business and offers practical recommendations for entrepreneurs and government agencies to support green businesses through political and economic measures. Research employed methods such as literature review, monographic, analytical, graphical, content analysis, comparison, synthesis and analysis, and generalisation. The article highlights the leading positions of scholars from different countries on the issues under study in recent years. A comparative analysis of the Top 10 countries of the world based on the 2023 Human Development Index and the Innovation Development Index is presented. This study shows that trends in global investment in energy efficiency (2015-2022), the growth of gross value added in the environmental goods and services sector in the EU-27 (2001-2021), and the growth of green bonds (2019-2022) within the EU-27 demonstrate the effectiveness of green entrepreneurship through innovation and digitalisation. Leading digital platforms for transferring innovations to green businesses were identified. The article also provides practical recommendations for the transfer of innovations to promote green business development in the context of digital transformation for entrepreneurs and government agencies.
Data Governance Improvement Strategy for Peer-to-Peer Lending Sharia in Indonesia: Study Case PT ABC
Authors: Priastomo Ristyo Yogi , Ruldeviyani Yova , Gunawan Adi , Al Haq Muhammad Hezby , Utami Aisyah Nurlita
Published: January 2025

Abstract—Financial Technology (fintech) is a company that supervised by the Indonesian Financial Services Authority (OJK) and fintech associations which has strict regulations. Well-defined data management can support organizations to comply with mandatory regulations. This research was conducted on a sharia peer-to-peer lending fintech in Indonesia with the aim of solving data governance problems in organizations by measure of Data Governance Maturity Level to get recommendations strategies to improve the implementation of data governance in the organization. The measurement was carried out using IBM Data Governance Maturity Model Framework. After validation and finalization of the assessment, the results showed that the average score was 2.47. It's shown that currently at the Managed level. Some domains need to be improved in the future, data value creation, data organizational structure and awareness, data policies and rules and data stewardship.
Resnet-18 With Attention Mechanism-Bidirectional LSTM Hybrid Approach for Music Genre Classification Using Stacking MFCC and Mel-Spectogram Features
Authors: Dimas Elang Setyoko
Published: January 2025

Incorrect Genre Classification is still often found. One of the causes is the selection of inappropriate features. This has an impact on the ability of the classifier model because some methods with a machine learning approach are highly dependent on the features used. Utilization of several features, especially spectral features, can improve the performance of the classifier model. On the other hand, methods with a deep learning approach such as CNN and RNN have been proven to outperform machine learning-based methods. This study proposes a hybrid Resnet18-BiLSTM model with the addition of the Convolutional Block Attention Module (CBAM) attention mechanism to improve the accuracy of music genre classification. Moreover, this study also combines two spectral features, namely mel-spectrogram and MFCC. The results of the experiment using the GTZAN dataset showed that the combination of mel-spectrogram and MFCC and the addition of the CBAM attention mechanism were able to classify music genres with an accuracy rate of 95.60% in validation and 95.30% in testing.
Comparison of Support Vector Machine and Random Forest Methods on Sentinel-2A Imagery for Land Cover Identification in Banda Aceh City Using Google Earth Engine
Authors: Safira  , Amiren Muslim , Nazhifah Sri Azizah , Rusdi Muhammad , Nizamuddin  , Misbullah Alim
Published: January 2025

Land cover is a physical feature of the earth that illustrates the relationship between natural processes and social processes. Over time, there has been a lot of land conversion, where initially open land is now built-up land. This is due to the large-scale development in Banda Aceh City. Therefore, this study aims to compare the performance of two classification methods, namely using Support Vector Machine (SVM) and Random Forest in identifying land cover in Banda Aceh City using Sentinel-2A imagery via the Google Earth Engine platform. As for data recording, it starts from January 1 to December 31, 2023. There are 4 classes used in this study, namely vegetation, water bodies, built-up land, and open land. The classification results show that the Support Vector Machine and Random Forest methods have been successfully applied to identifying land cover in Banda Aceh City using Sentinel-2A imagery. The accuracy results show that the Support Vector Machine method has a higher accuracy value of 90.5% compared to the Random Forest method of 85.7%.
Measuring mobile banking service quality using Topic Modeling and Term Ranking: A case study of an Indonesian digital bank
Authors: Anggraini Veny , Budi Indra , Santoso Aris Budi , Putra Prabu Kresna
Published: January 2025

The rapid expansion of digital transactions in Indonesia is driving the transformation of both traditional and digital banks. Since digital banks operate without physical branches, all banking services are via mobile banking apps. This study examines mobile banking service quality using text mining techniques like topic modeling and term ranking to analyze 11,815 user reviews from app stores and assess customer satisfaction through ratings. The research involves extracting and preprocessing reviews, identifying key topics, and linking them to satisfaction levels. Seven service dimensions were found: customers were satisfied with Enjoyment, Debit Card Delivery, and Feature-Free Transactions but dissatisfied with Accessibility, Data Privacy, Loan Services, and Touchless Customer Support. Debit Card Delivery and Feature-Free Transactions were highlighted as significant factors in Indonesia's digital banking market. With limitations in analyzing user reviews in Bahasa Indonesia, the findings are specific to the Indonesian digital banking context and may not be applicable elsewhere.
Pengembangan Aplikasi Presensi Pengenalan Wajah Untuk Mahasiswa Menggunakan Convolutional Neural Network
Authors: Yulanda  , Sutarman
Published: January 2025

Dalam dunia pendidikan, kehadiran mahasiswa dalam pembelajaran di kelas sering dianggap sebagai syarat dan standar untuk penilaian mahasiswa. Namun, masih ada beberapa universitas yang melakukan presensi secara manual kemudian direkap ke sistem oleh dosen dan ada juga presensi menggunakan tanda tangan sebagai sistem konvensional. Hal tersebut dapat dimanfaatkan oleh mahasiswa yang nakal untuk selalu titip absen, sehingga proses ini kurang efektif, memakan waktu yang lama dan kurang terorganisir. Dan oleh karena itu, untuk mengatasi masalah tersebut peneliti membuat sistem absensi dengan pengenalan wajah atau face recognition, sehingga dapat meminimalisir waktu absensi. Dalam penelitian, metode yang digunakan adalah Convolutional Neural Network. Hasil dari pengujian aplikasi  menyatakan bahwa aplikasi dapat berjalan sesuai dengan fungsinya dan kebutuhannya. Hasil penelitian menunjukkan bahwa model Convolutional Neural Network, memiliki akurasi 100% dan loss 0.0097. Percobaan dilakukan secara berulang-ulang, dan meskipun nilai loss mengalami fluktuasi, akurasi model tetap konsisten.
Analisis Kepuasan Pengguna Pada Aplikasi Tokopedia Menggunakan Metode User Experience Questionnaire (UEQ)
Authors: Anne Trimaysella  , M. Rudi Sanjaya
Published: January 2025

Tokopedia is an official application that was launched to the public on August 17 2009 under the auspices of PT. Tokopedia was founded on February 6 2009 by Wiliam Tanuwijaya and Leontinus Alpha Edition. Tokopedia is a platform that makes online shopping easy by offering a variety of products ranging from fashion, electronics, basic necessities and other daily necessities. However, judging from recent PlayStore and AppStore reviews, the Tokopedia application has received many negative reviews from users regarding the new features provided, one of which is the voucher and promo feature which cannot be used and other features. Therefore, evaluating the user experience while using this application is necessary. So user satisfaction analysis can be carried out using the User Experience Questionnaire (UEQ) approach to determine the level of satisfaction of Tokopedia mobile users. Therefore, the purpose of this research is to help conclude the information system regarding the Tokopedia application to improve experience and determine user satisfaction in carrying out further development and evaluation.
Eksplorasi Kesadaran dan Faktor Budaya Keamanan Terhadap Keamanan Informasi Dinas Komunikasi dan Informatika Kabupaten XYZ
Authors: Michael Parlindungan
Published: January 2025

Peran teknologi informasi dalam sektor pemerintahan bertujuan menyelenggarakan sistem pemerintahan elektronik yang efisien, akuntabel, dan transparan. Aspek manusia menjadi aspek yang terlemah dan memegang peranan terpenting dalam menjaga keamanan informasi. Dinas Kominfo Kabupaten XYZ memegang peran penting dalam penyelenggaraan pemerintahan daerah, termasuk manajemen sistem informasi dan pengamanan informasi. Penelitian ini mengukur tingkat kesadaran keamanan informasi terhadap 86 pegawai di Dinas Kominfo Kabupaten XYZ menggunakan kuesioner berdasarkan metode HAIS-Q dan aspek budaya keamanan informasi. Hasil penelitian menunjukkan tingkat kesadaran keamanan pegawai berada dalam kategori “cukup”. Area manajemen kata sandi, penggunaan email dan internet menunjukkan tingkat kesadaran yang “buruk”, dan penggunaan media sosial, perangkat mobile, penanganan informasi, dan pelaporan insiden berada pada kategori “cukup”. Aspek budaya keamanan juga memengaruhi tingkat kesadaran keamanan pegawai dimana berada pada kategori “cukup”. Berdasarkan hasil tersebut, rekomdendasi peningkatan kesadaran diperlukan, seperti pembuatan kebijakan dan pedoman keamanan informasi, serta pelaksanaan program kesadaran keamanan informasi.
Analisis Perbandingan Kinerja Metode Ensemble Bagging dan Boosting pada Klasifikasi Bantuan Subsidi Listrik di Kabupaten/Kota Bogor
Authors: Cintari Nanda Putri , Alifviansyah Kevin , Tsabitah Dhiya Ulayya , Sartono Bagus , Firdawanti Aulia Rizki
Published: January 2025

Klasifikasi penerima subsidi listrik merupakan langkah penting untuk memastikan program bantuan sosial pemerintah tersalurkan secara tepat sasaran sehingga diperlukan metode analisis yang tepat. Penelitian ini membandingkan metode ensemble Bagging dan Boosting untuk klasifikasi rumah tangga penerima subsidi listrik di Kabupaten dan Kota Bogor menggunakan data Susenas 2023 sebanyak 2002 rumah tangga. Pada metode bagging menggunakan Random Forest dan Extra Trees, sedangkan boosting mencakup CatBoost dan LightGBM. Hasil penelitian menunjukkan bahwa metode Extra Trees dari bagging memberikan kinerja terbaik dengan akurasi 91%, F1Score 95%, dan sensitivitas 97%. Faktor kepemilikan barang elektronik dan fasilitas modern, seperti kepemilikan AC, laptop, dan televisi merupakan variabel paling signifikan dalam memengaruhi klasifikasi penerima subsidi listrik. Dengan akurasi tinggi dan minim bias, model ini efektif mendukung kebijakan berbasis data untuk distribusi subsidi listrik. Penelitian ini diharapkan menjadi rekomendasi strategis bagi pemerintah untuk meningkatkan efektivitas program subsidi listrik agar lebih efisien, tepat sasaran, dan mendukung peningkatan kesejahteraan masyarakat.
A Survey of Home-Based Cognitive Stimulation Activities in Thai Patients with Mild Cognitive Impairment and Mild Dementia
Authors: Jinatongthai Wirarat , Thana-Udom Kitikan , Senanarong Vorapun , Rattanabannakit Chatchawan
Published: January 2025

Objective: This study investigated the characteristics of home-based activities in individuals with mild cognitive impairment (MCI) and mild dementia, as well as factors related with those activities.
Materials and Methods: A cross-sectional, questionnaire-based study was conducted on patients with MCI and mild dementia at Siriraj Hospital. Data on patient and caregiver characteristics, home cognitive activities, and proficiency in using information technology (IT) devices and telecommunications applications were collected. Home activities were categorized into cognitive, physical, and religion-related activities based on their type and frequency.
Results: Of 157 enrolled patients with a mean age of 76.2±7.9 years, 46.5% were diagnosed with MCI and 53.5% with mild dementia. The MCI group exhibited significantly higher frequencies of activities such as reading, writing, playing mobile games, texting, calculating, music listening, meditation, praying, almsgiving, doing chores, cooking, and gardening (all p<0.05). Approximately 51% of patients were able to use IT devices. MCI patients demonstrated greater proficiency in using smart IT devices and teleconferencing applications than those with mild dementia (79.5% vs. 26.2%, and 49.3% vs. 11.9%, both p<0.001). Cognitive activity scores were associated with age (r=-0.34, p<0.001), body mass index (r=0.16, p=0.04), educational attainment (r=0.38, p<0.001), IT device literacy (r=0.41, p<0.001), and proficiency in using telecommunications applications (r=0.55, p<0.001).
Conclusion: Thai patients with MCI and mild dementia engaged in limited home activities, particularly those with dementia. IT device literacy was surprisingly prevalent and contributed to higher cognitive activity scores. Developing home-based cognitive stimulation programs for Thai patients facing cognitive challenges utilizing telecommunication may be feasible.
Outcomes in Critically Ill Patients Aged 90 Years and Older: A Scoping Review
Authors: Kitisin Nuanprae , Pattamin Nuttapol , Thongpibul Nirinrada , Raykateeraroj Nattaya
Published: January 2025

The growing population of nonagenarians has led to increased intensive care unit (ICU) admissions among elderly patients. However, evidence on their outcomes and optimal management strategies remains limited and fragmented. This scoping review aimed to explore mortality outcomes, factors associated with mortality, and treatment intensity in nonagenarians, comparing them to younger patients. A systematic search of MEDLINE and Embase from 1946 to September 2024 identified studies reporting ICU, in-hospital, and long-term mortality in nonagenarians. Twenty-nine studies involving 21,420 nonagenarians and 244,323 younger patients were included. ICU mortality among nonagenarians ranged from 1.42% to 66.7%, with an overall rate of 17.05% (2,738/16,062). In-hospital mortality ranged from 5.6% to 47%, with an overall rate of 26.54% (5,563/20,962). Long-term (oneyear) mortality varied from 19% to 77%, with an overall rate of 53.45% (7,020/13,134). Key predictors of mortality included comorbidities, high severity scores (APACHE II, SAPS II), and less aggressive treatment. Despite these factors, nonagenarians had comparable mortality rates to younger patients when adjusted for illness severity. Nonagenarians in ICUs display variable but acceptable mortality rates, suggesting that age alone should not determine care intensity. Their heightened vulnerability after discharge calls for more effective and personalized post-ICU and post-hospital discharge care plans to better address their ongoing risks.