bluuebunny/crossref_metadata_2025_split huggingface dataset:
НОРМАТИВНОЕ РЕГУЛИРОВАНИЕ ВНЕДРЕНИЯ ТЕХНОЛОГИЙ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА В РОССИЙСКОМ ОБРАЗОВАНИИ
Authors: Л.С. Илюшин , Н.А. Торпашёва 
Published: November 2024

Ускоряющееся развитие технологий искусственного интеллекта в последние годы обуславливает актуальную потребность в поиске новых юридических решений и нормативного регулирования, особенно в контексте образования. В статье представлен анализ нормативно-правовых актов РФ, связанных с понятием искусственного интеллекта и цифровизации школьного образования. Среди методов исследования используются методы анализа, сравнения и синтеза.
The accelerated development of artificial intelligence technologies in recent years has created an urgent need for new legal solutions and regulatory frameworks, especially in the context of education. The article presents analysis of legal acts of the Russian Federation related to the concept of artificial intelligence and digitalization of school education. As a research method the authors use methods of analysis, comparison and synthesis.
ЦИФРОВЫЕ ОСНОВЫ ОРГАНИЗАЦИИ ЭКОНОМИЧЕСКОГО МЕХАНИЗМА УСТОЙЧИВОГО РАЗВИТИЯ СУБЪЕКТОВ МАЛОГО ПРЕДПРИНИМАТЕЛЬСТВА В РЕГИОНАЛЬНОЙ ИННОВАЦИОННО-ПРЕДПРИНИМАТЕЛЬСКОЙ ЭКОСИСТЕМЕ
Authors: Е.Г. Пашковская 
Published: November 2024

В статье представлен разработанный автором научно-практический инструментарий применения цифровых технологий с акцентом на «больших данных» для обеспечения эффективного функционирования экономического механизма устойчивого развития субъектов малого предпринимательства (СМП) в региональной инновационно-предпринимательской экосистеме (РИПЭ). С помощью системного подхода определены цифровые основы функционирования и взаимодействия экономических механизмов РИПЭ и СМП на основе большого (для РИПЭ) и малого (для СМП) циклов BigData.
We present our own scientific-practical tools of applying digital technologies oriented at big data to ensure effective performance of the economic mechanism of sustainable development of small business subjects in regional innovation entrepreneurial ecosystem. Relying on system approach we determine the digital foundations for the functioning and interaction of the economic mechanisms in question based on the big cycle (regional innovation entrepreneurial ecosystem) and small cycle (small business subjects) of BigData.
ТЕОРЕТИКО-ПРАВОВЫЕ ОСНОВЫ ПРИМИРИТЕЛЬНЫХ ПРОЦЕДУР В ГРАЖДАНСКОМ ПРОЦЕССЕ КАК СОСТАВЛЯЮЩАЯ ПРАВОЗАЩИТНОГО МЕХАНИЗМА
Authors: Е.М. Смирнова , Г.Х. Гуменюк 
Published: November 2024

В статье проанализирована теоретико-правовая конструкция примирительных процедур в гражданском процессе через рассмотрение правовой конструкции понятия примирительных процедур как полностью соответствующих доктринальному воззрению к пониманию примирительных процедур с точки зрения предопределения применения конкретных примирительных процедур.
The article provides analysis of theoretical and legal construction of conciliation procedures in Civil process through examining legal construction of conciliation procedures as completely corresponding to the doctrinal viewpoints dealing with understanding conciliation procedures from the point of view of predetermination of applying certain conciliation procedures.
Evaluation of Thermal Comfort in Urban Parks in Guangzhou City
Authors: Wu Zhanqian , Kim Soo-bong , Gu Haoyu 
Published: November 2024

Thermal comfort evaluations for Yuexiu Park, Lushan Park, and Baiyun Lake Park in Guangzhou were conducted using field meteorological data collection, visitor questionnaires, and literature reviews. It analyzed the impact of green coverage, water body layout, and facility configuration on thermal comfort. The results showed that good green and water body design effectively lowered the temperature in the park and improved the thermal comfort of visitors, but the insufficient facility configuration in some open areas affected the experience. The visitor’s experience is closely related to the natural environment and facility layout of the park. Therefore, in the future, park design should pay more attention to the rational configuration of shading, ventilation, and cooling facilities to improve thermal comfort, and encourage citizens to participate in the construction and management of parks to improve ecological quality and user experience. This study provides a reference for the improvement of thermal comfort in urban parks in Guangzhou and aims to promote the sustainable and human-oriented development of urban park design.
Pembiasaan Sholat Dhuha dalam Membangun Karakter Disiplin siswa
Authors: Khofi Mohammad Bilutfikal 
Published: November 2024

Abstrak
Penelitian ini bertujuan untuk menganalisis pembiasaan Sholat Dhuha dalam membangun karakter disiplin siswa di MA ATQIA Bondowoso. Kedisiplinan merupakan salah satu aspek penting dalam pembentukan karakter siswa, khususnya dalam pengelolaan waktu, pengendalian diri, konsistensi, dan tanggung jawab. Penelitian ini menggunakan metode kualitatif dengan teknik pengumpulan data melalui wawancara mendalam, observasi, dan dokumentasi. Hasil penelitian menunjukkan bahwa pembiasaan Sholat Dhuha berperan penting dalam meningkatkan disiplin waktu, pengendalian diri, serta kepatuhan terhadap aturan sekolah. Selain itu, program ini juga membantu siswa dalam menumbuhkan sikap menghormati dan motivasi spiritual, yang pada akhirnya membentuk karakter yang disiplin dan berintegritas. Dengan demikian, pembiasaan Sholat Dhuha di MA ATQIA Bondowoso efektif dalam membentuk kedisiplinan siswa baik dalam konteks akademik maupun sosial.
Kata kunci: Sholat Dhuha ; Disiplin; Pembiasaan; Pendidikan Karakter; Membangun Karakter
Akselerasi peningkatan literasi Al Quran berbasis internet Studi Kasus : Implementasi Program Pelatihan Penerjemahan Al Quran Metode Al Huda pada masyarakat
Authors: Chairullah Harun  
Published: November 2024

Meningkatkan literasi Al Quran berarti meningkatkan kemampuan “membaca” aksara Arab Al Quran dan “menerjemahkannya” kedalam bahasa Indonesia. Hasil riset Institut Ilmu Al Quran Jakarta tahun 2022 menunjukkan bahwa 72% umat Islam Indonesia buta huruf Al Quran. Sebab utamanya adalah karena mayoritas umat Islam Indonesia tidak berbahasa Arab . Kondisi “darurat Al Quran” ini akan menyebabkan umat Islam Indonesia mudah terombang ambing keyakinan dan pengetahuan agama nya, rapuh aqidahnya dan sempit wawasan agama nya. Metode Al Huda merupakan salah satu metode menerjemahkan Al-Qur’an yang memanfaatkan kemajuan teknologi informasi (IT) dalam pendidikan, yang ditujukan untuk mereka yang berkeinginan dapat menerjemahkan Al Quran sendiri (mandiri). Penelitian ini bertujuan untuk mengevaluasi implementasi metode penerjemahan Al Quran Al Huda dalam menerjemahkan Al Quran. Populasi penelitian adalah kelompok siswa pelatihan metode Al Huda baik offline maupun online. Dengan menggunakan pendekatan kualitatif serta menerapkan metode analitis-deskriptif, hasil penelitian berkesimpulan bahwa sejauh siswa peserta pelatihan sudah memiliki kemampuan membaca Al Quran dengan baik dan lancar, maka metode Al Huda berhasil membantu siswa dalam menerjemahkan sendiri Al Quran kedalam bahasa Indonesia dengan mudah.
Регуляторные механизмы достижения углеродной нейтральности странами Европейского союза
Authors: Разумнова Л.Л. , Савина Н.П. 
Published: November 2024

Статья носит обзорный характер и опирается на сопоставительный анализ экспертных мнений российских и зарубежных исследователей. Основной целью было выявить новые тенденции и противоречия в развитии нормативно-правовой базы Европейского союза (ЕС) в области построения «зеленой экономики» и энергетического перехода. В процессе исследования были рассмотрены правовые инструменты ЕС, принятые в 2023 г. для достижения целей климатической нейтральности в рамках «Зеленой сделки» (European Green Deal); проанализированы ключевые составляющие Европейского промышленного плана и новые инициативы в рамках создания Европейского банка водорода (European Hydrogen Bank); уточнены цели и задачи новых правовых регламентов; выявлены проблемы, связанные с их эффективной имплементацией в практику. В связи с расширением производства «чистых технологий» авторами изучены некоторые аспекты европейской конкурентоспособности, проблемы привлечения инвестиций, разработки механизмов государственной поддержки «зеленых» секторов экономики и др. В ходе изучения водородной стратегии ЕС идентифицированы факторы, сдерживающие расширение производства возобновляемого водорода, а также потенциальные проблемы формирования европейского рынка водорода.
Инженеры-конструкторы новосибирских предприятий в условиях СВО: трансформация мотивов и практик труда
Authors: Комбаров В.Ю. 
Published: November 2024

В статье представлены результаты эмпирического исследования труда инженеров-конструкторов двух новосибирских предприятий ОПК, а также их коллег с частного новосибирского завода, сотрудничающего с военно-промышленным комплексом России. На основе естественного социологического эксперимента изучены и показаны многоаспектные различия влияния СВО на трансформацию трудовых режимов коллективов, структуру мотивов инженеров-конструкторов предприятий с разной формой собственности и на сами трудовые практики. Автор приходит к выводу, что, несмотря на во многом схожее содержание деятельности, дифференциация отношений инженеров к различным сторонам работы и её социальной значимости обусловлена в первую очередь контрастными системами смыслов и ценностей, разницей идеологий и уже потом принадлежностью к разным возрастным когортам и предшествующим опытом трудовых отношений.
Глобальный энергопереход: новые вызовы и новые возможности
Authors: Блам И.Ю. , Ковалев С.Ю. 
Published: November 2024

В статье анализируются тенденции смещения национальных приоритетов РФ в области устойчивого энергетического развития в условиях напряженной геополитической ситуации. Тенденция усиления позиций критерия энергетической безопасности среди других составляющих энергетической трилеммы прослеживается не только в России, но и в энергетической системе ЕС, где наблюдаются увеличение объемов использования бурого угля и приостановка свертывания ядерной генерации на фоне общего отставания от графика достижения углеродной нейтральности. Тем не менее замещение природного газа возобновляемыми источниками энергии остается для ЕС актуальной среднесрочной целью. Уход из России западных технологических и инвестиционных партнёров привел к частичной приостановке реализации значимых проектов декарбонизации. Вынужденный технологический суверенитет снижает темпы энергетического перехода при наблюдаемом смещении приоритетов – климатические проблемы отходят на второй план, уступая место поиску новых технологических решений и отдаляя перспективу постепенного отказа от ископаемых видов топлива.
Efektivitas Implementasi Peraturan Bupati Nomor 3 Tahun 2019 Tentang Program Desa Maju Indragiri Hilir Jaya Plus Terintegrasi Kabupaten Indragiri Hilir
Authors: Armadani Pitrawir 
Published: November 2024

Substansi UU Desa telah memberikan kewenangan pembangunan kepada desa dari yang awalnya merupakan kewenangan pemerintah daerah. Namun banyaknya klausul pengaturan yang berkaitan dengan suprastruktur desa berimplikasi kepada kewenangan pembangunan desa yang diberikan menjadi tidak sepenuhnya menjadi hak desa. Secara administratif desa disibukan dengan rigid-nya tahapan dan pelaporan pembangunan desa yang harus disampaikan kepada pemerintah dan pemerintah daerah. Perda Nomor 5 Tahun 2014 Tentang RPJMD Kabupaten Indragiri Hilir Tahun 2013-2018. Pada periode kedua kepemipinan Bupati Indragiri Hilir (H. Wardan) bersama H. Syamsudin Uti periode 2019-2023, dilakukan perubahan strategi penguatan program DMIJ menjadi DMIJ Plus Terintegrasi dalam penguatan pengembangan ekonomi masyarakat desa dan kawasan perdesaan melalui pelembagaan Badan Usaha Milik Desa (BUM Desa). Program DMIJ adalah program pemerintah kabupaten melalui pendekatan pemberdayaan dengan mengefektifkan fungsi pemerintah desa, kelembagaan desa untu merencanakan, melaksanakan, melestarikan dan pengawasan pembangunan secara partisipatif.
MACHINE LEARNING MODELS FOR CLASSIFICATION AND PREDICTION OF PREECLAMPSIA IN KADUNA, NIGERIA
Authors: Eneh Agozie , Ebem Deborah  U. , Jiya Eli A. , Etuh Emmanuel , Raskeb Bulus 
Published: November 2024

Preeclampsia is a significant complication in pregnancy characterized by high blood pressure and damage to organs, posing serious risks to both the mother and fetus. Early prediction and management are crucial for improving outcomes. In Nigeria, where healthcare resources are often limited, and prenatal care access can be uneven, advanced predictive models can enhance early detection and intervention. This paper developed machine learning-based classifiers and predictors of preeclampsia. The data used was collected from general hospital Hunkuyi, Kaduna state, Nigeria. The models were based on Adaboost, Support Vector Machine (SVM), and Naïve Bayes (NB) algorithms. In both classification and prediction of preeclampsia among the population studied, SVM has 0 error in MAE, RMSE, RAE and ERSE, with accuracy level of 100%. Adaboost and NB had accuracy levels of 98% and 85%, which are very good. This paper recommends the use of these models for prediction of onset of preeclampsia among pregnant women in Hunkuyi and Kaduna state. Since the data used to develop the models represent impartially the various set of people within the state, it can be used for all women. we believe the models can assist the health personnel to predict onset of preeclampsia and help proper planning and intervention. It will also reduce maternal and child mortality that could result for preëclampsia.
INVESTIGATING THE MODERATING EFFECT OF GENDER ON THE RELATIONSHIP BETWEEN WORKPLACE SPIRITUALITY AND EMPLOYEE LOYALTY
Authors: Tanwa Owodunni , Kazeem Bakare , Wan Nasir Zaireena , Hashim Junaidah 
Published: November 2024

The human resource management (HRM) practices have been broadened to include a workplace spirituality (WS) dimension to increase employee loyalty to the organization. Employee loyalty plays a significant role in organizational development as well as economic growth around the world. The main purpose of this study is to investigate the moderating role of gender between workplace spirituality (WS) and employee loyalty (EL) in the Nigerian public sector. This study adopts a quantitative research approach. A survey, using a questionnaire, was conducted to obtain data from 500 public sector employees in Lagos state Nigeria. Structural Equation Modeling analysis using AMOS version 22 was conducted to determine the moderating role of gender between workplace spirituality and employee loyalty. The findings reveal that there is a strong causal relationship between workplace spirituality and employee loyalty in the Lagos state public sector. However, the worker’s gender does not moderate the relationship between workplace spirituality and employees’ loyalty. The study also establishes valid measures for workplace spirituality and employee loyalty constructs. It is evident from the findings that workplace spirituality is an underlying factor to reckon with in motivating an employee to be loyal to their organization. Hence, this study supports the use of workplace spirituality as one of human resource management practices dimension in the organization.
MACROECONOMIC OUTLOOK AND BANK STABILITY: THE CASE OF SHARIAH BANK ON MIDDLE EAST COUNTRY
Authors: Putri Laurina Trisnaning , Sudarmawan Barianto Nurasri 
Published: November 2024

There have been many studies on the impact of war and the economy on Middle East countries. However, specific studies on banking stability and macroeconomic conditions have not been found. This study aims to find the interaction between macroeconomic and banking stability in the Middle East. Panel data with 12 middle east countries during 2014-2023 was employed in this study. Our study found that inflation, GDP, exchange rate, and unemployment rate cause banking stability.
التمويل الإسلامي الرقمي عبر الذكاء الاصطناعي: دراسة فقهية في ضوء المعايير الشرعية وقرارات مجمع الفقه الإسلامي
Authors: M A ALAJMI Abdul Hadi 
Published: November 2024

This research aims to introduce the digital Islamic finance, which has recently emerged with the accelerated digital transformation of the banking sector, and to clarify its advantages and problems, and to introduce artificial intelligence, which is a key pillar in digital finance, and its jurisprudential adaptation in concluding financial contracts completely through its various technologies and applications, and to clarify the reality of digital Islamic finance in the State of Kuwait through Warba Bank and Nomo Digital Bank, and to provide proposed financing formulas that are consistent with the contemporary collective jurisprudence represented in the decisions of the International Islamic Fiqh Academy and the Sharia standards issued. About the Accounting and Auditing Organization for Islamic Financial Institutions (AAOIFI), the research has followed the inductive and descriptive approach that suits the nature of this research, and the research has concluded many results, including the limited digital financing services in the Islamic banking sector at the present time, and the existence of many proposed formulas to provide many financing services in a digital way through artificial intelligence applications in a manner consistent with Islamic jurisprudence, and the study recommends expanding the provision of digital financing services and making greater use of artificial intelligence techniques, And abide by the decisions of Sharia boards to avoid falling into Sharia violations.
يشهد العالم اليوم تحولاً رقمياً هائلاً في شتى القطاعات بما في ذلك القطاع المصرفي، ويعد الذكاء الاصطناعي المحور الأساس الذي ترتكز عليه عملية التحول الرقمي، ومن هنا تبرز أهمية دراسة مفهوم التمويل الإسلامي الرقمي، وفوائد ومخاطره، والأحكام الفقهية المتعلقة بالتعاقد الرقمي عبر الذكاء الاصطناعي، ودراسة نماذج تطبيقية تعبر عن واقع التمويل الإسلامي الرقمي عبر الذكاء الصناعي عبر دراسة تجربتي بنك "نومو" الرقمي، وبنك "وربة" الكويتي، نظراً لشيوعهما في دولة الكويت، وتطبيقات مقترحة للتمويل الإسلامي عبر الذكاء الاصطناعي في ضوء المعايير الشرعية لهيئة المحاسبة والمراجعة للمؤسسات المالية الإسلامية.
ARTIFICIAL INTELLIGENCE IMPLICATIONS IN ISLAMIC BANKS: POTENTIAL AND CHALLENGES
Authors: Harun Mohd Shukor , Ab Aziz Muhammad Ridhwan , Nazri Muhammad Azrin , Ananda Rana Fathinah , Rahmadhani Sari Nuzullina 
Published: November 2024

As new digitalization strategies storm the banking industry, banks which are behind the technological curve may struggle to keep pace. This is a well-known challenge in the Islamic banking sector in particular; however, this research shows that little is being done to achieve unified digitalization in operations. Artificial Intelligence (AI) is a disruptive force in the financial sector, promising increased financial inclusion, economic development, and a excess of efficient, transparent, Shariah-compliant financial solutions due to its integration of technology with Islam’s profound ethical principles. The objective of this paper is to study the potential and challenges of AI implications in Islamic Banks. This is a qualitative study using focus group interviews with five Islamic Banking experts consists of Shariah Committee Member, academic experts and Islamic banking executive from different banks in Malaysia. SC members from different Islamic banks. Following the interviews, a thematic analysis of the transcribed data was conducted using computer-assisted qualitative data analysis software. The participants were generally receptive towards the utilization of AI tools in the Islamic banks which give a significant impact of the Islamic banking landscape. The participants recognize the potential of AI for improving the efficiency and effectiveness of the Islamic banking operations. However, they raised some concerns about the challenges that need to be addressed such as replacing of manpower with AI in some area in Islamic banks. The novelty of this research provides a novel discussion of potential and challenges of AI implications in Islamic banks and at the same time add to the Islamic banking literature in this area. The size of the focus group was limited to five participants to optimize group size and composition to allow adequate participation by each group member. Further sampling from more SC members and experts may elicit additional findings. The first-hand views from the focus group interviews provides valuable input for potential and challenges of adopting AI in the Islamic banking operations.
Development a risk prediction nomogram for multidrug−resistant bacterial and fungal infection in gastrointestinal fistula patients during the perioperative period
Authors: Yin Mingming , Zheng Haoyi , Xu Lifeng , Jin Rong , Wang Xiangyang , Man Yi , Xu Kai , Ruan Qiang , Wang Ting , Guo Kai , Zhou Zheng , Wu Wenyong , Gu Guosheng 
Published: November 2024

BackgroundThis study aims to develop a risk prediction model for multidrug-resistant bacterial and fungal infections in patients with gastrointestinal fistulas during the perioperative period.MethodsA retrospective cohort study was conducted at Anhui No. 2 Provincial People’s Hospital from January 2022 to July 2024. We analyzed the distribution, resistance patterns, and mechanisms of multidrug resistance. Univariate and multivariate logistic regression analyses were performed to identify independent risk factors. A nomogram was constructed based on these risk factors, and its performance was evaluated using calibration curves, receiver operating characteristic (ROC) curves, and decision curve analysis (DCA).ResultsA total of 266 patients were included, with 157 (59.02%) testing positive for multidrug-resistant infections. We isolated 329 pathogenic strains: 84 Gram-positive (25.53%), 215 Gram-negative (65.35%), and 30 fungal strains (9.11%). The most common isolate was Klebsiella pneumoniae (57 strains, 17.33%). Patients were divided into a training cohort (n = 177) and a validation cohort (n = 89). Multivariate analysis identified six key indicators: secondary surgery, length of hospital stay, preoperative white blood cell (WBC) count, preoperative neutrophil count, postoperative WBC count, and postoperative C-reactive protein (CRP) levels. The nomogram demonstrated excellent predictive ability, with an area under the curve (AUC) of 0.905 in the training cohort and 0.793 in the validation cohort. Calibration curves indicated high consistency between predicted probabilities and observed values. DCA confirmed the clinical utility of the nomogram.ConclusionOur study shows that multidrug-resistant infections in patients with gastrointestinal fistulas are predominantly caused by Gram-negative bacilli, especially carbapenem-resistant Enterobacteriaceae. Key risk factors include secondary surgery and various blood count parameters. The developed nomogram provides robust predictive accuracy, aiding healthcare providers in implementing targeted infection prevention strategies.