bluuebunny/crossref_metadata_2025 huggingface dataset:
Implementasi Artificial Intelligence dalam Pembuatan Website Klasifikasi Genre Buku
Authors: Dermawan Fariz Dwiki , Supriyono
Published: December 2024

Dalam era digital yang semakin berkembang, kecerdasan buatan (artificial intelligence atau AI) telah menunjukkan potensinya dalam berbagai bidang, termasuk literatur. Salah satu aplikasi artificial intelligence yang signifikan adalah dalam pembuatan klasifikasi genre buku secara otomatis. Sistem ini dirancang untuk mempermudah pengguna atau penulis buku untuk menemukan, merekomendasi dan memilih buku yang sesuai dengan preferensi mereka. Penelitian ini bertujuan untuk mengembangkan dan mengimplementasikan sebuah sistem klasifikasi genre buku berbasis artificial intelligence yang di integritasikan pada platform website. Dengan memanfaatkan metode pembelajaran mesin (machine learning) dan pemrosesan bahasa alami (Natural Language Processing/NLP), yang menghasilkan sebua software aplikasi klasifikasi genre buku berbasis website. Sistem ini memiliki kemampuan untuk menganalisis konten buku secara mendalam, seperti sinopsis, deskripsi, hingga teks lengkap. Analisis ini memungkinkan sistem untuk menentukan genre buku yang paling tepat dengan tingkat akurasi yang tinggi. Algoritma AI bekerja dengan mengenali pola-pola spesifik dalam teks, yang sering kali sulit dikenali melalui metode konvensional. Hasil pengujian menunjukkan bahwa sistem ini dapat mengelompokkan buku secara konsisten ke dalam berbagai genre, seperti fiksi ilmiah, roman, misteri, fantasi, biografi, dan lain sebagainya. Keberadaan sistem ini tidak hanya meningkatkan efisiensi pengelolaan katalog buku secara digital, tetapi juga memperkaya pengalaman pengguna dalam menjelajahi koleksi buku. Dengan kemampuan personalisasi yang lebih baik, pengguna dapat lebih mudah menemukan buku favorit berdasarkan genre yang diminati. Sistem ini diharapkan menjadi solusi inovatif dalam menghadapi tantangan pengelolaan literatur di era modern.
Global Plastic Waste Management: Analyzing Trends, Economic and Social Implications, and Predictive Modeling Using Artificial Intelligence
Authors: Syed Ali Reza  , Muhammad Shoyaibur Rahman Chowdhury  , Saddam Hossain  , Muhammad Hasanuzzaman  , Reza E Rabbi Shawon  , Bivash Ranjan Chowdhury  , MD Sohel Rana
Published: December 2024

Plastic waste, which is a result of human activities in America, has become one of the most critical environmental issues in the 21st century, and this calls for an urgent prescription of strategies at a global management level. The pervasiveness of plastic in modern life has created an unparalleled surge in plastic waste, which, unless adequately managed, is poised to pose severe threats to ecosystems, human health, and the global economy. The utmost objective of this study was to perform an extensive analysis of global plastic waste management practices in the USA, with a specific concentration on pinpointing the economic and social implications of these practices. This research project therefore intends to probe into the waste management practice applied in different countries for understanding the various best practices, challenges, and areas of improvement. The research project also aimed to employ AI-driven predictive models, notably, gradient boosting algorithm, linear regression, and random forest to predict the future trends in plastic wastes generated. Diverse datasets were used, to ensure that the study of global plastic waste management practices was comprehensive. Primary data on the conditions of global plastic waste generation was obtained through the World Bank's database, which provides detailed data on waste composition, generation rate, and methods of disposal in many countries. Also, the sources of economic indicators were OECD reports and UNEP publications on the hidden economic costs of plastic waste to municipal budgets. Data on its social impact, such as health effects and metrics involving environmental pollution, were provided by the World Health Organization through studies it conducted along with reports from environmental NGOs such as Greenpeace. The Gradient Boosting model performed the best with relatively high accuracy, followed by Logistic Regression and Random Forest Classifier. Besides, the Gradient Boosting model offered the highest Macro Average F1-score, which suggests better overall performance in balancing precision and recall for all classes. Predictive insights provided by the proposed models are valuable tools to expect future trends and patterns in plastic waste generation.  Advanced analytics and machine learning can help predict the volume of plastic waste generated across different geographies and sectors. Application of the predictive models in plastic waste management contexts has huge potential about information and shaping of policy decisions. Predictive analytics can use historical trends on production, consumption, and generation of waste and recycling rates of plastics to create forecasts about the future and define high-risk areas.
Similarity of Chemical Composition in Aqueous Extract of Rosemary and Olive leaves: An Analytical Study
Authors: Mathkoor Maryam Mansoor
Published: December 2024

In this study, the aqueous extract of rosemary and olive leaves was prepared, after which samples of the prepared extracts were sent to the food laboratories of Agriculture College, Basra University, Iraq, to   perform the analysis process using GCMS technology to know the chemical compounds of the extracts.  Where it was observed that there are 11 common chemical compounds among the two extracts, some are (exo-2-Hydroxycineole), (2,5-Dimethoxy-4-ethylamphetamine), (Epiglobulol), (Tridecanoic acid), ((-)-Spathulenol) , (Hexadecanoic acid, methyl ester) , (n-Hexadecanoic acid) , (cis-Vaccenic acid) , (Octadecanoic acid).
Revealing Corporate Value: The Role of Investment Decisions, Debt Policy, and Ownership Structure
Authors: Brahmayanti Ida Ayu Sri
Published: December 2024

This study examines how investment decisions, debt strategies, and ownership structures influence corporate value, specifically targeting manufacturing companies listed on the Indonesia Stock Exchange from 2019 to 2021. Using a quantitative approach and Partial Least Squares (PLS), the research integrates these critical factors into a comprehensive framework. The findings indicate that asset growth significantly impacts corporate value, highlighting the importance of effective investment strategies, while debt expansion positively influences firm value. However, managerial ownership does not exhibit a strong direct relationship with asset growth, equity expansion, or debt policies. Furthermore, this study highlights the significant role of institutional investors in strengthening corporate governance and reducing agency conflicts. Drawing on recent findings, it underscores the importance of intellectual capital and cash reserves in boosting financial performance and market valuation. The effective management of intellectual capital components—namely human, structural, and relational capital—serves as a bridge between financial performance and market valuation, while strategic cash reserves reflect financial stability and potential for growth. By synthesizing investment, financing, and ownership decisions, this study offers a novel perspective and practical implications for firms navigating post-pandemic economic recovery, emphasizing the synergy of financial strategies in optimizing corporate value and enhancing shareholder wealth.
Evaluation of the Minimum Essential Force Program on the Independence of the Indonesian Defense Industry
Authors: Adestria Elga , Almubaroq Hikmat Zakky , Risdhianto Agung
Published: December 2024

Indonesia as a strategic archipelagic country in Southeast Asia requires an independent defense industry to maintain national sovereignty and security. The government through the Ministry of Defense initiated the Minimum Essential Force (MEF) Program in 2010 to build adequate defense forces, encourage transfer of technology, increase production capacity, and develop human resources in the defense sector. This research evaluates the achievements of the MEF Program in increasing the independence of the Indonesian defense industry using the CIPP (Context, Input, Process, Product) evaluation model. This research uses a qualitative descriptive analytical approach, examining the implementation and impact of the MEF policy. Evaluation of the context, planning and implementation, implementation process, and results and impacts show that despite challenges such as budget constraints and dependence on foreign industries, the MEF policy has increased the capacity of the domestic defense industry. An example of success is PT PAL which produces various types of defense equipment through a transfer of technology scheme and government support. The conclusion of this research emphasizes the importance of synergy between the government, defense industry, and research institutions to achieve sustainable defense industry independence and increase domestic production capabilities.
ENERGY-EFFICIENT HEATING SYSTEM OF TRANSITIONAL METALLURGICAL LADLES
Authors: Trotsenko L.M. , Pylypenko R.A. , Prusky О.А. , Sidelnykova О.M. , Melnykov R.V.
Published: December 2024

In practice it was confirmed the effective use of the burner device of the diffusion method of natural gas burning in a high-speed direct-flow torch when heating the lining of transitional metallurgical ladles with the closed lid. Three designs of stabilizers for basal stabilization of the torch were developed and studied: 1) with stabilization flares formed when air flows onto 3 corner poorly streamlined stabilizers, in the shadow of which a part of the gas is supplied; 2) with a ring stabilization torch when burning a pre-mixed mixture of natural gas and air; 3) with a sudden expansion of the gas channel, in which a zone of intensive gas recirculation is formed. The GGPK-1.0 burner was developed for transitional ladles that operate within a wide range of changes in thermal power 1–5.29 and stabilizer with constant burning of the ignition ring, which contributes to the stability of combustion and allows the heating of ladles with tightly closed heat-saving lids. After the introduction of the developed burners at all stands for heating the ladles of the “Azovstal” metallurgical plant in 2019–2020 were obtained a significant improvement in the operation of the stands and a reduction in natural gas consumption. The fuel economy during heating the ladles is at least 20 %. The heating temperature of the inner surface of the lining of the transitional ladles is even over the entire surface. The temperature difference on the surface of the lining does not exceed 50 °C. Bibl. 16, Fig. 6.
COMPREHENSIVE TECHNOLOGY FOR UTILIZATION OF ACID CONDENSATE FROM FLUE GAS AFTER BOILER UNITS
Authors: Obodovych O.M. , Tselen B.Ya. , Nedbailo A.Ye. , Ivanytskyi G.K. , Radchenko N.L. , Hozhenko L.P.
Published: December 2024

This paper presents material related to the comprehensive technology for the utilization of acidic condensate formed at thermal power plants and contains a series of issues related to the processes of neutralization and degassing of the liquid, further carbon dioxide methanation, and water electrolysis. The proposed technology for acidic condensate utilization will address several environmentally oriented issues, including reducing CO2 emissions into the atmosphere, preventing acidic effluents from entering wastewater and natural water bodies, saving water resources, and promoting alternative fuel production. The basis of the technology is a cavitation reactor, which allows almost complete extraction of carbon dioxide gas present in the form of bubbles ranging in size from 5 µm to 0.5 µm. Experimental and theoretical studies of carbon dioxide extraction, the efficiency of liquid neutralization, and the sizes of bubbles that can be activated under the proposed processing regimes for carbon dioxide extraction were conducted to purposefully control the liquid neutralization processes through cavitation mechanisms implemented in the equipment of this technological scheme. The primary idea of the technology was associated with finding ways for effective reagent-free neutralization of condensate by extracting CO2. Treatment of condensate using the proposed technology practically realizes complete extraction of carbon dioxide gas from the liquid contained in bubbles, the concentration of which, according to literature data, ranges from  30 mg/kg to 70 mg/kg in acidic condensate. However, further development of this idea involves using a series of processes that allow avoiding the release of carbon dioxide into the atmosphere after its extraction from the liquid and redirecting this stream to the methanation process for fuel production. Extraction of impurities from the condensate allows obtaining water, which can be used to replenish the water circuit of the boiler or for the water electrolysis process to obtain hydrogen as a raw material for the carbon dioxide methanation process or as an alternative fuel. Bibl. 18, Fig. 5, Tab. 2.
The HUBUNGAN KONDISI FISIK RUMAH DAN PERILAKU DENGAN KEJADIAN DEMAM BERDARAH DENGUE (DBD) DI WILAYAH KERJA PUSKESMAS SOSIAL TAHUN 2024
Authors: Anwar Khairil Anwar , Dwi Maharani Nabila , Maksuk Maksuk
Published: December 2024

Demam Berdarah Dengue (DBD) adalah jenis penyakit yang disebabkan oleh virus dengue, dan penyebarannya dipermudah oleh vektor perantara yaitu nyamuk Aedes aegypti. Ada beberapa faktor yang dapat mempengaruhi distribusi dan peningkatan kasus DBD dalam suatu daerah yaitu antara lain faktor manusia (host), vektor (nyamuk), virus dengue (agent) dan faktor lingkungan (environment). Adapun tujuan dari penelitian ini adalah untuk mengetahui hubungan kondisi fisik rumah dan perilaku dengan kejadian Demam Berdarah  Dengue (DBD) di Wilayah Kerja Puskesmas Sosial Kecamatan Sukarami Kota Palembang Tahun 2024. Penelitian ini bersifat survei analitik dengan pendekatan case control. Penelitian ini menggunakan perbandingan kasus dan kontrol 1:2, dengan jumlah kasus sebanyak 27 kasus dan kontrol sebanyak 54 kontrol, sehingga total sampel dalam penelitian ini adalah 81 sampel. Adapun teknik pengambilan sampel kasus dan kontrol adalah purposive sampling. Data dianalisis menggunakan uji chi-square. Hasil penelitian ini menunjukkan bahwa tidak ada hubungan kondisi fisik rumah dengan p-value (p=0,542), tidak ada hubungan pengetahuan dengan p-value (p=1,000), ada hubungan sikap dengan p-value (p=0,007), ada hubungan tindakan dengan p-value (p=0,022), ada hubungan keberadaan jentik dengan p-value (p=0,045) dengan kejadian DBD di Wilayah Kerja Puskesmas Sosial Kecamatan Sukarami. Kesimpulan dari penelitian ini yaitu ada hubungan yang signifikan antara sikap, tindakan, dan keberadaan jentik, sedangkan tidak ada hubungan yang signifikan antara kondisi fisik rumah dan pengetahuan dengan kejadian DBD di Wilayah Kerja Puskesmas Sosial Kecamatan Sukarami. Kepada petugas puskesmas dan masyarakat, agar lebih meningkatkan kegiatan pencegahan DBD secara sistematis agar dapat mengurangi angka kejadian DBD di wilayah kerja Puskesmas Sosial.
Expression Detection of Children with Special Needs Using Yolov4-Tiny
Authors: Sidi Husri , Rahman Aviv Yuniar , Marisa Fitri
Published: December 2024

This research addresses the challenge of detecting emotional expressions in children with special needs, who often rely on nonverbal communication due to difficulties in verbal expression. Traditional emotion detection methods struggle to accurately recognize subtle emotions in these children, which can lead to communication barriers in educational and therapeutic settings. This study proposes the use of the Yolov4-Tiny model, a lightweight and efficient object detection architecture, to accurately detect four key facial expressions: Angry, Happy, Smile, and Afraid. The dataset consists of 1500 images, evenly distributed across the four expression classes, captured under controlled conditions. The model was evaluated using various metrics, including Confidence, Precision, Recall, F1-Score, and Mean Average Precision (mAP), across different training-to-testing data splits. The results demonstrated that the Yolov4-Tiny model achieved high accuracy, with a perfect mAP of 100% for balanced and slightly imbalanced splits, and a minimum mAP of 93.1% for more imbalanced splits. This high level of performance highlights the model's robustness and potential for application in educational and therapeutic environments, where understanding emotional expressions is critical for providing tailored support to children with special needs. The proposed system offers a significant improvement over traditional methods, enhancing communication and emotional support for this vulnerable population.
The Scale Validation of Amanah Ikhtiar Malaysia’s Microfinance Services and Household Socioeconomic Instrument
Authors: Wan Abdullah W Muhammad Zainuddin , Zia Ul-Haq Hafiz Muhammad , Zainuddin Wan Nur Rahini Aznie
Published: December 2024

Households' socioeconomic outcomes play a crucial role in sustainable development. Both public and private organisations have introduced various microfinance schemes to address economic deprivation. Nevertheless, there is ongoing debate in the literature about the effectiveness of these strategies in improving household socioeconomic performance. Researchers continue to face challenges in identifying key factors that enhance the performance of low-income households, largely due to the absence of reliable measurement tools. This study develops and validates a scale specifically designed to capture the multifaceted effect of microfinance on household socioeconomic well-being. The research introduces measuring constructs for first-order constructs relating to variables such as microfinance services, household Entrepreneurial Competencies (EC), Financial Management Practices (FMP), and socioeconomic performance. Using Exploratory Factor Analysis (EFA) on data collected from low-income households engaged in microfinance programs in Malaysia, the study assesses the instrument’s reliability and validity. Findings ensure the potential of the validated measurement tool to evaluate the effectiveness of microfinance interventions. The results confirm that the developed instrument is valid and reliable for future studies on microfinance and household economic models.
PUBLIC-PRIVATE PARTNERSHIP IN THE CULTURAL AND CREATIVE INDUSTRIES SECTOR OF UKRAINE IN THE CONTEXT OF EUROPEAN INTEGRATION PROCESSES
Authors: Puzko Mykola
Published: December 2024

This article explores the implementation of public-private partnership (PPP) mechanisms within Ukraine’s cultural and creative industries (CCI) sector, especially in the context of European integration. It examines how European PPP models can be adapted to Ukrainian conditions, focusing on regulatory framework gaps and their impact on the effectiveness of PPPs in cultural projects. The study centers on applying the PPP model within Ukraine’s cultural sphere, aiming to propose methods for leveraging private investment and expertise in cultural preservation and development aligned with European Union standards. The research methodology includes comparative and system analyses of Ukraine’s PPP regulatory framework alongside successful European examples. It considers the unique aspects of PPPs in the cultural sector, where outcomes deliver economic but also social and cultural value. Findings indicate that European countries approach cultural PPPs through integrated, context-sensitive strategies, varying institutional support, and citizen involvement tailored to each nation’s social and economic landscape. Key insights highlight the importance of state policies supporting PPPs in Ukraine’s CCI sector, emphasizing frameworks involving civil society (such as the P4 model) and innovative financial tools like crowdfunding. The study suggests that adopting such mechanisms could help Ukraine attract private investment, foster sustainable community engagement, and strengthen cultural heritage preservation. The article’s recommendations for updating Ukraine’s PPP regulations offer practical implications for policymakers, cultural organizations, and private investors, establishing PPPs as essential for Ukraine’s post-war cultural and economic recovery. These findings contribute to cultural management by presenting a structured approach to PPPs in CCIs, integrating local and international experiences for sustainable, long-term cultural growth.
DEVELOPMENT OF THE GLOBAL TOURISM INDUSTRY: QUALITATIVE ASSESSMENT AND GLOBAL TRENDS
Authors: Mazur Volodymyr , Halko Oksana
Published: December 2024

The article presents an analysis of the qualitative development of the tourism industry, considering that tourism has become one of the most prominent manifestations of globalization processes, contributing to the formation and strengthening of global social, political, and economic networks, transforming the world into a «single social space.» The opinions of scholars are reviewed, proposing a differentiation of the concept of «tourism» depending on the subject of research, distinguishing between a narrow and broad understanding of the term. The authors define the tourism sector as an organizational system represented by a cluster, identifying key elements that form tourism clusters in providing services. The article also analyzes the experience of European researchers regarding the classification of components of the tourism industry and the interrelationship between the concepts of «tourism industry» and «hospitality industry,» citing the positions of specific authors. The study of various approaches by domestic and foreign scholars to the essence of the tourism industry has provided more profound insights into its structure and helped form the authors’ understanding of its components. Additionally, the article examines the most popular tourist destinations in the world and ranks the best locations for business trips. It is proven that over the past decade, the tourism industry has become one of the most critical sectors globally, as evidenced by the dynamic development of tourism services between 2019 and 2023. Over the years, tourism has demonstrated resilience and the ability to recover from economic crises and has contributed to broad economic and social revival.
STRATEGIES OF VERTICAL INTEGRATION IN THE ENERGY SECTOR OF UKRAINE’S ECONOMY: LEADERS’ EXPERIENCE IN THE CONTEXT OF CONTEMPORARY CHALLENGES
Authors: Serobian Arpine , Kyzenko Olena
Published: December 2024

The study provides an insightful analysis of the role of vertical integration in the Ukrainian energy sector, emphasizing its strategic importance for the national economy and energy security. The research highlights several critical challenges facing the industry, including over-dependence on fossil fuels, declining domestic energy resource extraction, underdeveloped technologies, and limited renewable energy use. The ongoing war, infrastructure damage, decreasing investments, and increasing dependency on energy imports exacerbate these issues, further complicating efforts to stabilize the sector. The study supports the hypothesis that vertical integration is an effective strategy for ensuring long-term competitiveness and resilience in Ukraine’s energy companies. It argues that vertical integration, through efficient use of strategic resources, helps companies better withstand external challenges and adapt to fluctuations in the energy market. Including case studies on significant energy players like DTEK and Naftogaz is a practical illustration, demonstrating how vertical integration can provide a competitive edge and enhance adaptability. The methodological approach, combining structural analysis, VRIO analysis, case studies, and systemic analysis, effectively evaluates the strategic potential of vertical integration in the Ukrainian context. This multi-faceted approach offers a comprehensive understanding of how vertical integration can contribute to the stability and adaptability of the energy sector. However, while the study confirms the relevance of vertical integration, it also acknowledges the need for further development to exploit the sector’s innovative potential fully. As Ukraine moves toward Industry 4.0 and 5.0, which promote reduced reliance on hydrocarbons, vertical integration models must be refined to facilitate innovation and adaptability. In conclusion, the study underlines that enhancing vertical integration models could be essential for overcoming the sector’s contemporary challenges. It also suggests that future research should continue exploring strategies that prioritize innovation, renewable energy adoption, and reducing import dependence, ultimately contributing to the long-term stability of Ukraine’s fuel and energy sector (FES).
TECHNOLOGICAL ASPECTS OF THE SOWING AREAS STRUCTURE OPTIMIZATION OF AN AGRICULTURAL ENTERPRISE
Authors: Starikov Oleksandr , Mokrytska Daria , Musiienko Ivan
Published: December 2024

This work aims to present the results of the development and testing of a model for optimizing the structure of sown areas based on the criterion of maximizing the total gross profit from the production and sale of commodity crop products. The model allows us to consider changes in market, technological, and other production factors through various technological maps for growing different crops, as well as recalculate planned costs, taking into account the costs incurred for work in progress. This allows you to consider the rapid changes in the external and internal environment that agricultural enterprises in Ukraine face today. The work describes the objective function, defines the limitations, and calculates the planned gross profit for the existing structure of sown areas in 2023. It searches for the optimal solution for the structure of sown areas for the Bila Tserkva Research and Breeding Station, investigates the prospects and possibilities of considering technological changes in plant production when using the optimization model, and complies with resource use standards. Each cropʼs production and sale costs are calculated for a separate cost item. Other restrictions, such as crop rotation, impact on soil condition and quality, availability of equipment, and timing of technological operations related to technological factors of production, were taken into account when forming restrictions on the maximum or minimum share of a separate crop or group of crops in the total sown area of the Bila Tserkva Research and Breeding Station. The implementation of the optimal solution regarding the structure of sown areas will allow an increase in the gross profit of the Bila Tserkva Research and Breeding Station from the sale of commercial crops included in the optimization model by UAH 15.47 million in 2024 (or by 79 %). At the same time, the profitability of production will increase from 28.8 % to 36.6 %. This indicates the ability of agricultural enterprises to increase their profitability and financial stability in wartime conditions. The proposed model was developed for the enterprise under study, but after adaptation, it can be used by other agricultural enterprises to evaluate similar solutions.
ARTIFICIAL INTELLIGENCE AS A DIGITAL TOOL FOR THE PROJECT APPROACH IN PUBLIC ADMINISTRATION AND LOCAL GOVERNANCE
Authors: Karpenko Oleksandr , Vasiuk Nataliia , Osmak Anton
Published: December 2024

The article substantiates the necessity of applying artificial intelligence (AI) technologies as a digital tool for the project-based approach in local governance. Local self-government plays a critical role in ensuring the functioning of communities, particularly during the current crisis caused by the Russian military invasion. Integrating modern AI-based management approaches enhances process automation, big data analysis, and resource optimization, improving efficiency. The study identifies key directions for AI application in local governance: project planning, control, and timeline management through analytics services; risk analysis and forecasting via machine learning algorithms; task automation for project execution; resource optimization using efficiency indicators; personalized communication with virtual assistants, chatbots, and digital democracy tools; intelligent HR services for team coordination; and informed decision-making based on big data analysis with reduced risks. An algorithm for AI adaptation in local selfgovernment has been proposed, encompassing stages such as task identification, data analysis for decision-making, process automation, resource monitoring, risk management, and personnel training. Examples of AI tools at the local level include «smart city» services for infrastructure monitoring, transportation optimization, and waste management; digital participation tools for public opinion analysis; and intelligent systems for strategic planning and tax procedure simplification. The study highlights the ethical implementation of AI with data protection and its benefits, including time savings, transparency, resource optimization, and enhanced communication. Prospective technologies include machine learning, natural language processing, computer vision, big data analysis, blockchain governance, and smart platforms for digital participation. These tools promote sustainable community development and improve public service delivery, ensuring higher quality of life for residents.
The Role of Financial Technology in Promoting Digital Finances in Algeria (2016-2024)
Authors:   University of Ghardaia, Ghardaia, Algeria, Abada Abderraouf , Boukhalfi Messaoud ,   University of Ghardaia, Ghardaia, Algeria, Bentadjine Mohammed Abderrahmane ,   University of Ghardaia, Ghardaia, Algeria, Daoudi Abdelfattah ,   University Mohamed Boudiaf of M’Sila, M’Sila, Algeria
Published: December 2024

The financial technologies are changing the approach to service delivery in the banking sector. These technologies reduce costs, increase speed, security, and transparency, and enable safer financial services. They also pave the way for financial inclusion by expanding and generalizing financial services, making them accessible to a larger segment of society, particularly those who do not use the traditional financial and banking system. This study aimed to clarify the extent of financial technology's contribution to achieving digital financial inclusion in Algeria through electronic payment methods during the period from 2016 to the first quarter of 2024. To address and analyze the problem, researchers adopted a descriptive-analytical approach to cover various aspects of the topic and to tackle the issue by dividing this study into three main sections: Concepts of financial technology; Concepts of digital financial inclusion; Strategies for enhancing digital financial inclusion in Algeria through financial technologies in the field of electronic payments. The results of the study showed that there is an effective contribution of financial technology indicators in the field of retail electronic payments in Algeria in enhancing levels of digital financial inclusion, reflected in the improvement of: online payment activities, the number of active bank ATMs, payment activity and the number of operating electronic payment terminals (EPT), mobile phone payment transactions, mobile money transfers, and the number of circulating cards, including the "Gold" card and interbank cards (CIB). Along with this, current challenges for further developing digital financial inclusion include: the slow pace of adopting modern technologies in the field of electronic payments; a lack of trust in new payment methods among some users; the absence of insurance for banks in the event of fraud through electronic payments.
Nutritional status of some selected indigenous leafy vegetables of Assam, india
Authors: Sultana Nazmin , Langthasa Supriya , Goswami Ratna Kinkar
Published: December 2024

The study aimed to assess the nutritional status of 14 types of indigenous leafy vegetables, namely Houttuynia cordata, Paederia foetida, Alternanthera sessilis, Amaranthus viridis, Eryngium foetidum, Bacopa monnieri, Polygonum chinense, Hydrocotyl rotundifolia, Talinum triangularae, Tetrastigma leucostaphylum, Pogostemon heyneanus, Celosia argentea, Glebionis coronaria and Peperomia pellucia. All the indigenous leafy vegetables contained high amount of moisture, which ranged from 79.38 to 92.80%. The vitamin C content range from 41.86 to 537.24 mg/100g, vitamin A from 35.87 to 8685 IU and protein content was found in between 1.25 to 8.63 g/100g. Among the species total phenol content ranged from 32.30 to 259.10 mg/100g, total flavonoid from 138.20 to 288.90 mg/100g, IC50 value for scavenging DPPH radicals from 24.06 to 214.56 µg/ml and alkaloid content 0.16 to 3.18%. Leafy vegetable also possess good amount of minerals which range from 173.17 to 2109 mg/100g of calcium, 27.48 to 396.17 mg/100g of iron, 141.62 to 4037.00 mg/100g  of magnesium and total chlorophyll from 1.02 to 2.49 mg/100g FW. The result of the study revealed that the indigenous leafy vegetables such as Amaranthus viridis, Paederia foetida, Tetrastigma leucostaphylum and Alternanthera sessilis were found to be superior in terms of nutritional attributes with good antioxidant properties.
Bangladesh J. Bot. 53(4): 865-870, 2024 (December)
Effects of different water and fertilizer concentration on leaf area and yield of jujube (ziziphus jujuba mill.)
Authors: He Wei , Xu Zengguang , Luo Lintao
Published: December 2024

Effects of different water and fertilizer concentrations on the leaf area index, fruit development and yield of jujube trees under bubbled-root irrigation during the growth period were analyzed. The leaf area index of different water and fertilizer treatments reached a peak at the fruit enlargement stage of the jujube tree. The leaf area index reached maximum with high water and medium fertilizer treatment (W1N2).  The highest number of fruits per unit branch length appeared in medium water and medium fertilizer treatment (W2N2), while the lowest appeared in low water treatment (W3N0). The highest yield of all treatments was with medium water and medium fertilizer treatment (W2N2) having a yield of more than 30 000 kg/hm2, while the lowest was with low water and high fertilizer treatment  (W3N1) having a yield of less than 15 000 kg/hm2. Therefore, medium water and medium fertilizer treatment can be selected to obtain the highest yield of jujube trees.
Bangladesh J. Bot. 53(4): 881-887, 2024 (December)
Effects of mixed cropping and inoculants on yield and quality of forage under different inter cropping ratios of oat and field pea
Authors: Yao Qingzhi , Zhang Xue , Wu Youhan , Qiao Yihua , Yang Yiwen , Yan Weiping
Published: December 2024

Using forage oat and field pea, this study was conducted  to explore the effects of sole and mixed cropping patterns at varying ratios, and microbial inoculant application. The aim was to reveal the comprehensive effects of mixed cropping patterns and microbial inoculation on the above-ground biomass, forage yield, and nutritional quality. The results indicated that mixed cropping significantly increased the above-ground biomass of both oats and field peas. With microbial inoculation, mixed cropping increased dry hay yield by 21.81%, 18.31%, 13.33%, and 10.05%;  crude protein by 9.4%, 16.44%, 14.98%, and 4.18%, and crude fat by 8.22%, 2.9%, 14.81%, and 5.59% respectively, compared to sole cropping. Additionally, neutral and acid detergent fiber contents decreased by 2.94% and 1.89% on average in mixed crops. These findings suggest that mixed cropping with microbial inoculants can significantly increase forage nutritional quality and yield, offering a scientific basis for efficient forage crop utilization.
Bangladesh J. Bot. 53(4): 903-911, 2024 (December)
Karyotype analysis and chromosomal characterization of hibiscus cannabinus l.
Authors: Tasmin Jerin , Warasy Ashma Ahmed
Published: December 2024

Seven germplasm of Hibiscus cannabinus L. (Acc. No. 95, 4652, 4654, 4655, 4656, 4657, and 4810) were investigated for their karyotype analysis and chromosomal characterization. These germplasm of H. cannabinus were found to possess 2n = 36 chromosomes. Symmetric nature of karyotype was observed in Acc. No. 4654. In contrast, metacentric and submetacentric chromosomes were present in other six accessions revealing the asymmetric nature of karyotype. Based on karyotypic features Acc. No. 4654 was considered relatively primitive and Acc. No. 4652 was relatively advanced among the seven germplasm. Moreover, karyomorphological study proved their divergence in relation to different morphological feature of the chromosomes.
Bangladesh J. Bot. 53(4): 967-971, 2024 (December)
On-farm seed priming to alleviate the effect of saline stress during germination of pearl millet (Pennisetum glaucum L.)
Authors: Akram Muhammad , Manzoor Nadia , Hassan Muhammad Waqar , Farooq Abu Bakr Umer
Published: December 2024

Crop tolerance to salinity is of high importance particularly in the arid and semi-arid regions and pre-sowing seed treatments have been used to overcome the effect of salt stress problem. In the present experiment, on-farm primed (pearl millet seed soaked in distilled water at 25Cº in the dark for 10 hr) and dry seeds were then germinated in petri dishes under six levels of salinity (control (0), 40, 80, 120, 160 and 200 mM NaCl) under laboratory conditions. The investigation was carried out in a completely randomized design (CRD) with factorial arrangement and each treatment was replicated four times. The results showed that there were significant differences (P < 0.05) for mean germination time (MGT) and time taken for 50% germination (T50) in all salinity levels. Salinity stress decreased the seed germination traits however, on-farm priming improved it. The value of germination index (GI), seed vigor index (SVI) and germination stress index (GSI) decreased by increasing salt stress and value was recorded in case of dry seed sown as compared to primed. Results also indicated that maximum reduction in germination percentage (GP) was 12.61 and 8.57%, however; increase in T50 was 129 and 69% in dry and primed seed respectively, sown at highest level of salinity (120 mM) compared to control treatment. These findings suggest that on-farm priming is an effective method to increase seed germination grown under moderate salt stress.
Bangladesh J. Bot. 53(4): 973-980, 2024 (December)
Agro-climatic regionalization of kernel apricot (prunus armeniaca × sibirica) plantations in beijing
Authors: Li Ling , Gao Zhaoquan
Published: December 2024

This study envisaged the distribution of the kernel apricot producing areas in Beijing using GIS technology, based on the climatic and geographical data of Beijing. The kernel apricot cultivation areas in Beijing area were classified as the most suitable area, suitable area, general suitable area, unsuitable area and least suitable area. The results indicated that the plains, hills, shallow mountains and valley basins of Beijing were the most suitable distribution areas of kernel apricot. The main cultivation places were in mountainous areas and shallow mountainous areas, and were classified under the suitable areas and general suitable areas of kernel apricot cultivation. At present, the planting area of kernel apricot in Beijing was 8346 hectares, which is the third largest economic forest tree species. It was found that the main production areas of kernel apricot included the Yanqing producing areas, western mountain producing areas and the northern mountain producing areas, accounting for more than four fifths of the cultivated area of kernel apricot in the city.
Bangladesh J. Bot. 53(4): 1067-1075, 2024 (December)
Assessment of Phytochemical Constituents, Antimicrobial Activity and Heavy Metal Contents of Gynura Procumbens
Authors: Chowdhury Rifah Noor , Tahsin Md Rafat , Chowdhury Jakir Ahmed , Jahan Ishrat , Shahriar Mohammad , Aktar Fahima , Chowdhury Abu Asad , Kabir Shaila , Amran Md Shah
Published: December 2024

Abstract not available
Dhaka Univ. J. Pharm. Sci. 23(2): 195-199, 2024 (December)
Analgesic, Anti-inflammatory and Antidiarrheal Properties of Synthesized Benzimidazole Derivatives via In vivo and In silico Methods
Authors: Ananta Mokaddas Flora , Saha Poushali , Spriha Sabiha Enam , Rahman S M Abdur , Chowdhury A K Azad
Published: December 2024

The present communication reports the pharmacological investigation of a few synthesized benzimidazole derivatives by in vivo and in silico approaches. The in vivo peripheral analgesic, central analgesic, anti-inflammatory and antidiarrheal potentialities of the synthesized analogs were examined in animal model. The peripheral analgesic experiment revealed noticeable effect for compounds 1 and 2 with writhing inhibition values of 79.66 and 83.05 %, respectively at a dose of 50 mg/kg in comparison with standard aceclofenac (85.59 % writhing inhibition at 25 mg/kg dose). After 60 minutes of oral administration, compounds 1 and 2 demonstrated higher tailflicking time of 2.96 ± 0.018 min and 2.83 ± 0.011 min at 50 mg/kg body weight dose compared to that of morphine (2.95 ± 0.13 min). Promising anti-inflammatory effects were observed for compounds 1 and 2 with 87.72 and 85.96 % paw edema inhibition in contrast to the standard aceclofenac showing 92.98 % reduction of rat paw edema. Concerning antidiarrheal proficiency, compounds 1 and 2 inhibited the frequency of defecation by 84.35 and 88.69 %, respectively at 50 mg/kg dose as compared to standard loperamide (85.22 % diarrheal inhibition at 25 mg/kg dose). Additionally, the synthesized analogs were subjected to molecular docking analysis against a variety of analgesic, anti-inflammatory and antidiarrheal target proteins namely cyclooxygenase-2, phospholipase A2, interleukin-1 receptor associated kinase-4 and μ-opioid receptor. Among the test compounds, 1 and 2 displayed outstanding binding affinities to all molecular targets which reconfirm their superior analgesic, anti-inflammatory and antidiarrheal attributes shown during in vivo analysis.
Dhaka Univ. J. Pharm. Sci. 23(2): 157-169, 2024 (December)
Strategi Guru Bimbingan Konseling dalam Pencegahan dan Penanganan Perundungan Siswa di Sekolah
Authors: Safitri Windi Handayani  , Rido Kurnianto  , Aldo Redho Syam  , Afitria Rizkiana
Published: December 2024

Perundungan merupakan kasus yang sering kali terjadi di lingkungan pendidikan, tersebarnya berita perundungan di lingkungan sekolah, menjadikan suatu yang menakutkan dan perlu adanya penanganan yang serius yang dilakukan sekolah dalam meminimalisir perundungan. Penelitian ini bertujuan untuk menganalisis strategi yang dilakukan guru bimbingan konseling dalam mencegah dan mengatasi perundungan siswa yang ada di Sekolah Menengah Kejuruan Muhammadiyah 5 Purwantoro. Penelitian ini menggunakan pendekatan kualitatif diskriptif dengan pengumpulan data berupa wawancara, dokumentasi dan obsevasi. Data yang diperoleh kemudian dianalisis dengan teknik analisis menurut Miles, Huberman dan Saldana yaitu pengumpulan data, reduksi data, penyajian data dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa Guru bimbingan konseling di SMK Muhammadiyah 5 Purwantoro sudah melakukan beberapa pendekatan untuk penanganan dan pencegahan perundungan, berkolaborasi dengan koor ISMUBA untuk pembentukan karater sebagai salah satu pencegahan perundungan siswa. Guru juga memberikan pencegahan berupa memberikan tindakan kepada siswa tentang perundungan melalui beberapa forum yang berisi tentang pemahaman bahaya perundungan, pemahaman mengenai bentuk perundungan dalam strategi pencegahan perundungan yang dilakukan guru bimbingan konseling. Beberapa upaya penanganan perundungan seperti megadakan terapi individu, terapi kelompok, pelatihan kreasi, mediasi dan pencegahan perundungan.
Media House Counting Untuk Meningkatkan Kemampuan Matematika Anak Usia Dini
Authors: Wahidah Ina Aqidatul , Jazariyah  , Yayu Mega Purnamasari
Published: December 2024

This research is based on problems in the field, some children have not mastered children's mathematical skills such as recognizing number shapes, recognizing geometry, matching, and differentiating. This is because when learning takes place the teacher only conveys it using his fingers, writing, and simple number cards. According to STPPA, children aged 3-4 years should already know the concept of numbers and geometric shapes. Therefore, stimulation is needed to improve basic mathematical skills for early childhood, namely House Counting media. This research uses the RnD (Research And Development) Borg And Gall model through 5 stages. Products have been developed through a trial process by media experts and material experts to determine the suitability of the product. This research was conducted at RA Miftahul Falaah, Majalengka Regency, group A2 with 16 children.This data collection technique uses questionnaires, interviews, and observation. The questionnaire is used to determine the suitability of House Counting media. Interviews were conducted to obtain research data and also to see the extent to which House Counting media is effective for media children in improving their mathematical abilities. Observation is used to observe the learning process in group A2 RA Miftahul Falaah. Data analysis in this study used descriptive qualitative with percentage calculations.The results of observations and research that have been carried out show that House Counting media can improve basic mathematics skills in class A2 RA Miftahul Falaah Majelengka Regency
Penerapan Teknik TEGAR (Teguran dan Positive Reinforcement) untuk Mengurangi Perilaku Impulsif pada Anak dengan Attention-Deficit Hiperactivity Disorder (ADHD)
Authors: Erinasari Ruwita , Defi Astriani  , Wiwik Suatin  , Alaiya Choiril Mufidah
Published: December 2024

ADHD children have problems with impulsive behavior, namely snatching and taking other people's things without permission. This makes it difficult for children to adapt to their environment, making it difficult to make friends. So this impulsive behavior must be reduced. This research intervention uses the TEGAR (Teguran and Positive Reinforcement) technique. This research aims to reduce the impulsive behavior of children with ADHD. The application of the TEGAR technique (Teguran and Positive Reinforcement) is a combination of Reprimand and Positive Reinforcement techniques, where children are given a warning when they show impulsive behavior. After the child displays the desired behavior, the child is immediately given Positive Reinforcement in the form of praise. The research method used was quasi-experimental with a one-group pretest-posttest design. The research subjects were 6 children with ADHD. The research used a pretest scale before being given treatment and a protest scale after being given treatment which was tested using IBM SPSS 26.0 for Windows non-parametric method with the Wilcoxon test. The test results showed that there was a change in behavior before and after being given treatment using the TEGAR technique (Teguran and Positive Reinforcement) but it was not significant (Z = -1.261, p = 0.207 (p < 0.05)). So it can be concluded that the application of the TEGAR (Teguran and Positive Reinforcement) technique can reduce impulsive behavior in children with ADHD.