bluuebunny/crossref_metadata_2025 huggingface dataset:
Student Leadership in Volatile, Uncertain, Chaotic, and Ambiguous Business Environment: Experiment from the Complexity Leadership Theory
Authors: Shrestha Garima , Basyal Devid Kumar , Thakur Abhishek , Bhandari Anil , Paudel Udaya Raj
Published: February 2025

Purpose: Student leadership has become an increasingly critical issue over time. Despite the progress in some areas, the Volatile, Uncertain, Chaotic, and Ambiguous (VUCA) world still significantly hinders students' ability to lead in social, economic, and political spheres.
Methods: An explanatory research design was employed in this study. Convenience sampling is used to select participants, and a self-administered questionnaire is utilized. The questionnaire has been modified to align with the study's objectives. Data collection is conducted using the Kobo Toolbox in the Kathmandu Valley, and data analysis is performed using SmartPLS 4.0, which applies both descriptive and inferential data analysis techniques.
Findings: The findings indicate that most respondents are aware of and knowledgeable about VUCA. In the VUCA business environment, managing people and delegating work are considered significant challenges. The study identifies major solutions to address these issues, including providing hands-on experience learning opportunities and emphasizing the importance of soft skills. The research reveals that enabling, operational, and entrepreneurial leadership influence VUCA skills, benefiting researchers, future students, educational institutions, governments, and other business organizations.
Conclusion: The findings highlight that most respondents are familiar with VUCA and recognize managing people and delegation as the key challenges. The study suggests that enhancing VUCA skills through hands-on experience, soft skills training, and effective leadership can benefit various stakeholders, including researchers, students, and organizations.
Keywords: VUCA, Student leadership, Complexity Leadership Theory, SEM
JEL Classification: C21, C83
Impact of AI in Education: An Evidence from Use of ChatGPT in Management Education in Nepal
Authors: Lawaju Purnima , Adhikari Sabina Upadhayay , Devkota Jeevanath
Published: February 2025

Purpose: The purpose of the study is to examine the impacts of ChatGPT in management education in the Nepalese educational landscape.
Methods: An explanatory research design was used in this study. Four hundred-three respondents were taken as a sample using the convenience sampling method. Technology Acceptance Theory is used. Descriptive and inferential statistics were used to examine the data. SEM was used to analyse the data.
Findings: The results show that perceived ease of use, usefulness, and attitude significantly affect behavioural intention. Accuracy and reliability, data privacy, and security are significant challenges faced by the user, and the managerial solution for reducing these challenges is to follow proper rules and regulations, as well as safety and security measures.
Conclusions: This study concludes that behavioural intention towards ChatGPT is affected by perceived ease of use, usefulness, and attitude.
Implications: This analysis and findings will help the Ministry of Communication and Information Technology, an educational institution, IT agencies, the government, researchers in similar fields, professionals, and future students.
Originality: This research is original, and there is no knowledge conflict.
Keywords: Technology Acceptance Theory, ChatGPT, management education, Structural Equation Modeling
De los derechos humanos a la humanización del derecho: algunas perspectivas teóricas para poner en el centro del derecho a las personas
Authors: Torres Menchaca Ana Sofía
Published: February 2025

A mediados del siglo pasado los derechos humanos se convirtieron en la posibilidad de humanizar el campo de estudio del derecho. Sin embargo, los retos para la realización de los derechos humanos, desde esta disciplina, son aún muchos. Algunos obstáculos para ampliar la manera de subjetivar los derechos se encuentran en las propias teorías jurídicas preponderantes. Ante ello, este artículo presenta algunas de las propuestas que han explorado autores interesados en humanizar el derecho a partir del reconocimiento de los bienes relacionales, los significados del derecho en experiencias de justicia y la justicia terapéutica.
РЕАЛІЗАЦІЯ ТЕХНОЛОГІЧНОГО ПІДХОДУ У НАВЧАННІ МАТЕМАТИКИ В 6 КЛАСІ
Authors: Уманець С.  А. , Алєксєєва Г. М. , Кравченко Н. В. , Овсянніков О.  С.
Published: February 2025

У статті висвітлено теоретичні засади та практичні аспекти реалізації технологічного підходу у навчанні математики учнів 6 класу. Розглянуто переваги використання сучасних педагогічних технологій, включаючи інструменти Geogebra, OnlineMSchool та інтерактивні мультимедійні засоби, які сприяють формуванню математичної компетентності, пізнавальної активності та критичного мислення школярів. На основі авторських розробок представлено приклади інтеграції комп'ютерних технологій у структуру уроків, що дозволяють урізноманітнити форми подання матеріалу, зробити його більш доступним для учнів із різними рівнями підготовки та навчальних можливостей. У роботі наведено три приклади авторських уроків: «Розв’язання геометричних задач з використанням графічних калькуляторів», «Розв’язання рівнянь з використанням комп’ютерних технологій» та «Дроби та їх застосування з використанням комп’ютерних технологій». Уроки демонструють ефективність використання графічних калькуляторів, онлайн-інструментів та мультимедійних технологій для активізації навчального процесу. Зокрема, розглянуто використання Geogebra для побудови геометричних об’єктів, розв’язання рівнянь із застосуванням Wolfram Alpha і OnlineMSchool, а також вивчення дробів за допомогою інтерактивних онлайн-калькуляторів.
У статті підкреслено, що технологічний підхід сприяє розвитку творчих та самостійних навичок учнів, забезпечує можливість вивчення складних тем у зручному темпі та допомагає створити інтерактивне освітнє середовище, яке відповідає сучасним викликам у галузі освіти. Запропоновані рекомендації щодо впровадження технологічного підходу можуть бути корисними для вчителів математики, які прагнуть підвищити якість навчання, мотивацію учнів і адаптувати навчальний процес до вимог сучасної цифрової епохи.
International Treaty on Global Pandemics to Face Future Pandemics
Authors: Varshney S. K. , Prasanna N. K.
Published: February 2025

The problems and challenges confronting the global governance of international public health are on the rise, emphasizing the critical need for stronger international collaboration and resource-sharing to combat health threats. The COVID-19 pandemic unveiled signifi gaps in the worldwide health care system in terms of preparedness and response mechanisms. It highlighted the inadequacies of international collaboration and the urgent need for a comprehensive pandemic treaty. This paper explores the reasons behind the stalled progress of a pandemic treaty and emphasises the necessity of establishing equitable guidelines to safeguard against future pandemics. To face the regular frequency of these dangers and adverse effects, countries must work together more closely to accelerate global research by sharing the data and necessary raw materials and creating a coordinated global response. This acts as a road map to recover from the pandemic and allows for timely interventions and better tracking of the disease's spread.
Vertebral Hemangioma: Treatment
Authors: Garrido Ruiz Patricia Alejandra
Published: February 2025

Vertebral hemangiomas are benign and relatively common tumors that usually do not cause any symptoms. However, in some cases, they can become aggressive and cause neurological symptoms by expanding and eroding into the epidural space. Surgery is often recommended in such cases, especially if symptoms are severe or develop rapidly. Different surgical approaches are used, such as decompression alone, gross-total resection, and en-bloc resection. Other treatments, such as radiation, embolization, vertebroplasty, and ethanol injection, may also be used in combination with surgery. However, due to the rarity of aggressive vertebral hemangiomas, it is challenging to conduct large-scale studies to determine the best treatment approach. Therefore, the author of this chapter decided to provide a comprehensive review of the available literature. This retrospective review outlines the indications and options available.
A new classification of atlas fracture based on computed tomography: reliability, reproducibility, and preliminary clinical significance
Authors: Chen Yun-lin , Jiang Wei-yu , Lu Wen-jie , Hu Xu-dong , Wang Yang , Ma Wei-hu
Published: February 2025

Study Design: A retrospective study.Purpose: This study aimed to observe the computed tomography (CT) characteristics of atlas fracture and propose a new CT classification system, evaluate its reliability and repeatability, and discuss its clinical significance. Overview of Literature: The treatment and classification of atlas fracture remain controversial. At present, no classification method has been standardized for atlas fracture. Injury to the transverse atlantal ligament (TAL) and lateral mass displacement is still controversial.Methods: Seventy-five patients with atlas fracture were included from January 2015 to December 2020. Based on the anatomy of the fracture line, atlas fractures were divided into three types. Each type was divided into two subtypes according to the fracture displacement. Unweighted Cohen kappa coefficients were applied to evaluate the reliability and reproducibility.Results: According to the new classification, 17 cases of type A1, 12 of type A2, seven of type B1, 13 of type B2, 12 of type C1, and 14 of type C2 were identified. The K-values of the interobserver and intraobserver reliability were 0.846 and 0.912, respectively, for the new classification. The K-values of interobserver reliability for types A, B, and C were 0.843, 0.799, and 0.898, respectively. The K-values of intraobserver reliability for types A, B, and C were 0.888, 0.910, and 0.935, respectively. The mean K-values of the interobserver and intraobserver reliability for subtypes were 0.687 and 0.829, respectively.Conclusions: The new classification of atlas fractures can cover nearly all atlas fractures. This system is the first to evaluate the severity of fractures based on the C1 articular facet and fracture displacement and strengthen the anatomy ring of the atlas. It is concise, easy to remember, reliable, and reproducible.
ПІДХОДИ ДО ФОРМУВАННЯ, УПРАВЛІННЯ ТА РЕАЛІЗАЦІЇ АНТИКРИЗОВОГО ФІНАНСОВОГО ПОТЕНЦІАЛУ ПІДПРИЄМСТВ
Authors: ТЮРІНА Ніла , НАЗАРЧУК Тетяна , ГУРНИЦЬКИЙ Олександр , АНТОНЧИК Олександр
Published: February 2025

Activity in the market economy is always associated with risks and possible negative consequences arising from the influence of external and internal factors, which provoke crisis situations. Operation in crisis conditions requires special management, which is referred to as crisis management. The results of successfully overcoming crisis phenomena directly depend on the effectiveness of crisis management, which requires the involvement of potential opportunities and resources accumulated and formed within the enterprise's crisis potential. Therefore, it is important to understand the essence and structure of crisis potential, the peculiarities of its formation, as well as to determine its differences from the existing potential of the enterprise and the possible transformations of its components in crisis conditions. Considering the structural similarity between the existing and crisis potentials, as well as the primary cause of the crisis related to the loss of the enterprise's solvency, the focus of the study will be on the financial component of this potential, which is realized through crisis financial management.The essential and meaningful content of the definition of "anti-crisis potential" has been studied, the key principles of the formulation, which are characteristic of most author's definitions, have been determined. Formed own definition of anti-crisis potential, considering common key features. The structural filling of anti-crisis potential was analyzed and the financial component was identified as a priority, which is implemented through anti-crisis financial management. The main goal and principles of organization of financial management of the organization are defined. The main causes of financial crises are analyzed, the comparative characteristics of anti-crisis and anti-crisis financial management are performed, and its main features and components are determined. Financial signs that lead to the bankruptcy of enterprises are highlighted. The stages and main requirements for the implementation of the financial mechanism of anti-crisis management are characterized. A structural diagram of the process of implementing the capital structure optimization strategy has been developed as an example of the implementation of the anti-crisis financial management component.
Enhancing Morality among Saudi University Students in View of Reward and Punishment Philosophy
Authors: Alalwani Salem
Published: February 2025

The purpose of this study was to address enhancing morality among Saudi university students in view of the reward and punishment philosophy. The study used philosophical analysis to reveal the concept of morality in view of reward and punishment strategies to form a clear theoretical perspective. In addition, it is sought to design methodical and analytical steps that would empirically improve the measures available. Also, the study uses a descriptive methodology to depict the existing conditions of Saudi college students. According to the results, appreciation and self-confidence are among the self-rewards granted by the individual to him- or herself when making judgments. Moreover, universities must work on developing the ability to think critically among university students. It is necessary to pay attention to the cultural development and the system of values in Saudi universities.
Simulasi Model DTMC SEIR pada Penyakit Tuberkulosis dengan Kasus Kambuh di Indonesia
Authors: Nirmala Embun Zahra , Respatiwulan  , Susanti Yuliana
Published: February 2025

Penyabaran penyakit dapat dimodelkan dengan pemodelan matematika yang disebut model epidemi. Salah satu model epidemi adalah model epidemi susceptible infected recovered (SIR), model ini digunakan untuk menggambarkan pola penyebaran penyakit menular dengan membagi populasi menjadi tiga kelompok: rentan (susceptible), terinfeksi (infected), dan sembuh (recovered). Pada penyakit tuberkulosis bakteri penyebabnya dapat berada dalam fase dorman, sehingga model ini dikembangkan menjadi model susceptible exposed infected recovered (SEIR) dengan menambahkan kelompok individu yang terpapar (exposed). Selain itu, kemungkinan kambuh pada pasien yang telah sembuh mengharuskan penambahan parameter laju kekambuhan, sehingga terbentuk model SEIR dengan kasus kambuh. Jika perubahan jumlah individu dalam model ditinjau dalam waktu diskrit dan mengikuti proses Markov, model ini digambarkan sebagai Discrete Time Markov Chain (DTMC). Model DTMC SEIR dengan kasus kambuh dikembangkan melalui penentuan asumsi, variabel acak, parameter, serta probabilitas transisi. Model ini disimulasikan dengan menentukan parameter awal dan jumlah individu pada setiap kelompok untuk memprediksi penyebaran penyakit tuberkulosis dengan kasus kambuh. Berdasarkan hasil simulasi, meningkatkan laju kesembuhan  dan menurunkan laju kambuh  dapat mempercepat pemulihan dan mengurangi jumlah individu terinfeksi. Sebaliknya, menekan laju kontak  dapat mengurangi persebaran penyakit, sehingga kombinasi ketiganya mempercepat berakhirnya epidemi.
Teori Permainan dalam Negosiasi Kebijakan Perdagangan Internasional: Perspektif Keberlanjutan Ekonomi
Authors: Ari Wibowo
Published: February 2025

Negosiasi perdagangan internasional telah berkembang semakin kompleks, menekankan keberlanjutan di samping tujuan ekonomi. Teori permainan menyediakan kerangka kerja yang kuat untuk menavigasi dinamika ini, namun penerapannya untuk menyelaraskan kemakmuran ekonomi dan keberlanjutan lingkungan masih terbatas. Studi ini bertujuan untuk menganalisis peran teori permainan dalam menegosiasikan kebijakan perdagangan internasional dari perspektif keberlanjutan. Tujuan utamanya meliputi mengidentifikasi strategi yang mengoptimalkan hasil perdagangan sambil menggabungkan pertimbangan lingkungan dan mengeksplorasi implikasi model teori permainan kooperatif dan non-kooperatif dalam skenario perdagangan dunia nyata. Penelitian ini menggunakan tinjauan pustaka yang komprehensif, yang diambil dari teori ekonomi dan studi kasus. Studi ini berfokus pada pemeriksaan model non-kooperatif seperti ekuilibrium Nash dan model kooperatif seperti solusi Pareto-optimal, dilengkapi dengan simulasi di sektor-sektor seperti energi terbarukan dan pertanian berkelanjutan. Dengan menjembatani penerapan teori permainan secara teoritis dan praktis dengan metrik keberlanjutan, penelitian ini menawarkan solusi inovatif untuk konflik perdagangan. Temuan menunjukkan bahwa strategi kooperatif mengarah pada hasil yang lebih berkelanjutan, terutama ketika metrik lingkungan seperti emisi karbon dan efisiensi energi diintegrasikan ke dalam perjanjian perdagangan. Model non-kooperatif menyoroti risiko keuntungan jangka pendek dengan mengorbankan keberlanjutan global, yang menekankan perlunya insentif terstruktur dalam negosiasi perdagangan. Studi ini menyimpulkan bahwa teori permainan menawarkan kerangka kerja yang kuat untuk menyeimbangkan prioritas ekonomi dan lingkungan dalam negosiasi perdagangan. Penelitian di masa mendatang harus berfokus pada validasi empiris dari model yang diusulkan dan pengembangan kerangka kerja hibrida yang menggabungkan teori permainan dengan alat pengambilan keputusan lainnya. Para pembuat kebijakan didorong untuk mengintegrasikan wawasan ini ke dalam negosiasi perdagangan multilateral.
Analisis Kemampuan Pemecahan Masalah Matematis Siswa SMP pada Materi SPLDV melalui Pendekatan Krulik dan Rudnick
Authors: Reva Amelia  , Aulia Rohmiatul , Setyarini Mei , Karimah Sayyidatul , Hidayah Nurina
Published: February 2025

Penelitian ini bertujuan untuk mendeskripsikan kemampuan pemecahan masalah matematis siswa SMP Islam Walisongo Kedungwuni kelas VIII B dalam menyelesaikan soal pemecahan masalah pada materi SPLDV melalui pendekatan Krulik dan Rudnick. Penelitian ini menggunakan metode deskriptif kualitatif dengan menganalisis jawaban dari 20 siswa melalui tes uraian. Hasil penelitian menunjukkan bahwa siswa masih mengalami kesulitan dalam beberapa tahap pemecahan masalah, khususnya dalam membaca dan berpikir, memilih strategi yang tepat, serta Merefleksikan dan Mengembangkan. Meskipun sebagian siswa mampu mengeksplorasi dan merencanakan serta menemukan jawaban yang benar, mereka belum sepenuhnya menguasai semua tahap dalam pendekatan Krulik dan Rudnick. Penelitian ini menyimpulkan bahwa perlu adanya upaya lebih lanjut untuk meningkatkan kemampuan pemecahan masalah matematis siswa, terutama dalam hal pemahaman konseptual, strategi pemecahan masalah, dan kemampuan komunikasi matematis.
Peran Serial Kartun Number Blocks terhadap Kemampuan Pemahaman Konsep Bilangan pada Anak SD
Authors: Meilani Safitri  , M. Ridwan Aziz
Published: February 2025

Kartun Number Block telah menjadi salah satu media pembelajaran yang populer dalam membantu anak-anak memahami konsep matematika dasar, khususnya bilangan. Penelitian ini bertujuan untuk menganalisis peran kartun Number Block dalam meningkatkan kemampuan pemahaman konsep bilangan pada siswa sekolah dasar. Metode penelitian yang digunakan adalah pendekatan kualitatif, melibatkan siswa kelas 2 SD di Boyolali sebagai subjek penelitian. Data dikumpulkan melalui tes pemahaman konsep bilangan, serta observasi dan kuesioner untuk mendapatkan data kualitatif. Hasil penelitian menunjukkan bahwa penggunaan kartun Number Block secara signifikan meningkatkan kemampuan siswa dalam mengenali, memahami, dan memanipulasi bilangan. Media ini mampu menyederhanakan konsep abstrak bilangan menjadi bentuk visual dan naratif yang menarik, sehingga mempermudah siswa untuk memahami konsep dasar matematika. Temuan ini menunjukkan bahwa integrasi media edukatif seperti Number Block dalam proses pembelajaran dapat menjadi strategi efektif untuk mendukung perkembangan kognitif anak, khususnya dalam pembelajaran matematika di sekolah dasar.
Studi Literatur: Pengaruh Pendekatan RME terhadap Kemampuan Penalaran Matematis Materi Bangun Ruang Kelas V SD
Authors: Sari Dwi Ambar , Arisetyawan Andika
Published: February 2025

Kemampuan penalaran matematis merupakan aspek penting dalam pembelajaran matematika, terutama untuk mendukung pemahaman konsep secara mendalam. Salah satu pendekatan yang dianggap efektif dalam meningkatkan kemampuan ini adalah Realistic Mathematics Education (RME). Studi ini bertujuan untuk mengulas pengaruh pendekatan RME terhadap kemampuan penalaran matematis siswa khususnya dalam pembelajaran materi bangun ruang pada kelas V Sekolah Dasar. Melalui metode studi literatur, berbagai referensi, seperti jurnal, buku, dan artikel ilmiah, dianalisis secara mendalam untuk mendapatkan gambaran komprehensif mengenai efektivitas pendekatan ini. Pada penelitian ini digunakan lima artikel yang dinyatakan layak sebagai subjek penelitian. Kelima artikel yang dikaji memiliki metode penelitian yang berbeda, terdapat tiga artikel bermetode kuantitatif dan dua sisanya menggunakan metode kualitatif. Hasil kajian menunjukkan bahwa RME mendorong siswa untuk menghubungkan konsep matematika dengan situasi nyata di kehidupan sehari-hari. Pendekatan ini tidak hanya mempermudah pemahaman siswa, tetapi juga meningkatkan partisipasi aktif selama proses pembelajaran. Dengan demikian, RME dapat menjadi alternatif pendekatan pembelajaran yang inovatif untuk mengembangkan kemampuan penalaran matematis, khususnya pada materi bangun ruang. Penelitian ini diharapkan menjadi dasar bagi pengembangan penelitian dan praktik pembelajaran yang lebih efektif di masa depan.
Pemodelan Angka Kematian Neonatal di Provinsi Jawa Tengah Menggunakan Regresi Robust Estimasi Generalized Scale
Authors: Destriani Nita , Susanti Yuliana , Susanto Irwan
Published: February 2025

Angka Kematian Bayi (AKB) merupakan salah satu indikator penting dalam mengevaluasi kesehatan masyarakat suatu negara. Penyebab tingginya AKB adalah kematian neonatal. Angka Kematian Neonatal (AKN) menggambarkan jumlah bayi yang meninggal dalam 28 hari pertama kehidupan per 1.000 kelahiran hidup. Faktor-faktor yang mempengaruhi kematian neonatal antara lain, persentase bayi dengan Berat Bayi Lahir Rendah (BBLR), jumlah bayi mengalami kelainan kongenital, dan jumlah bayi mendapatkan Inisiasi Menyusui Dini (IMD). Faktor-faktor tersebut dapat dimodelkan menggunkaan regresi linear untuk melihat hubungannya dengan AKN. Salah satu uji asumsi yang harus dipenuhi dalam analisis regresi linear adalah normalitas. Data AKN di Provinsi Jawa Tengah tahun 2023 terdeteksi adanya pencilan sehingga uji asumsi normalitas tidak terpenuhi. Diperlukan metode yang dapat menangani permasalahan tersebut yaitu regresi robust. Tujuan dari penelitian ini adalah memodelkan AKN di Provinsi Jawa Tengah menggunakan regresi robust dengan estimasi Generalized Scale (GS). Hasil dari penelitian ini adalah model regresi robust menggunakan estimasi GS memiliki nilai adjusted R square sebesar 83,39% dengan Mean Absolute Error (MAE) sebesar 1,117988 dan model yang terbentuk ialah (2,761; 0,8432; 0,0848; -0,0001331).
Pengukuran Kinerja Sekolah SMPIT Darul Maza Bekasi melalui Pendekatan Balanced Scorecard
Authors: Faadhilah Zaahidah , Suryadi  , Neti Karnati
Published: February 2025

Pendidikan memiliki peran penting dalam meningkatkan kualitas sumber daya manusia, melalui lembaga sekolah masyarakat dapat mengenyam pendidikan dengan baik. Sekolah dituntut untuk terus meningkatkan mutu pendidikan yang dimilkinya. Salah satu upaya yang dapat dilakukan sekolah dalam menjaga mutu pendidikan dengan melakukan pengukuran kinerja sekolah untuk mengetahui sejauh mana kerja sekolah dalam mewujudkan visi, misi, dan tujuan. Penelitian ini bertujuan untuk mendsekripsikan kinerja sekolah menggunakan metode balanced scorecard berdasarkan persepektif pelanggan, perspektif proses bisnis internal, dan perspektif pertumbuhan dan pembelajaran. Penelitian ini menggunakan pendekatan kualitatif dengan metode deskriptif, menggunakan teknik analisis data b erdasarkan data primer berupa hasil wawancara dan data sekunder dari studi dokumentasi. Adapun narasumber dalam penelitian ini adalah kepala sekolah, ketua bidang kurikulum, dan bidang kesiswaan. Hasil penelitian menunjukkan kinerja sekolah yang sudah baik di SMPIT Darul Maza Bekasi dengan adanya peningkatan pada pelanggan baru, peningkatan pada pelatihan guru, serta adanya inovasi yang dibuat oleh sekolah untuk mempermudah kerja guru melalui sistem penilaian sekolah.
Islamic Financial Inclusion in Islamic Bank: A Study of Supply and Demand in Central Java
Authors: Mardhiyaturrositaningsih Mardhiyaturrositaningsih , Janah Rohmatul
Published: February 2025

This study examines the constraints and strategies for enhancing Islamic financial inclusion in Central Java from the perspectives of supply and demand. Using a qualitative descriptive approach, data were collected through Focus Group Discussions with five Islamic Rural Banks (BPRS) and surveys involving 66 MSMEs. Findings reveal seven supply-side constraints, including limited public and human resource literacy, absence of ATMs, restricted branch networks, limited capital, difficulties in customer segmentation, and inadequate socialization efforts. Meanwhile, six demand-side barriers were identified, such as limited awareness of BPRS, perceived complexity in financing requirements, and concerns over collateral and loan repayments. To address these issues, two strategies are proposed: 1) targeted socialization and education campaigns and 2) enhanced collaboration with community organizations and stakeholders. The study underscores the need for joint efforts by BPRS, MSMEs, and the government to improve infrastructure and accessibility, thereby fostering broader Islamic financial inclusion
Teknologi Digital : Pengaruhnya terhadap Efektifitas Manajemen Sumber Daya Insani Bank Syariah di Tanah Datar
Authors: Wahyuni Elmiliyani , Asmawanti Dri
Published: February 2025

The purpose of this study was to determine the effect of digital technology on Human Resource Management at Islamic Banks in Batusangkar, both aspects of recruitment, performance appraisal, training and employee development. The research method uses mixed method with sequential exploratory model by combining qualitative and quantitative research methods sequentially. The first stage of the research was carried out qualitative methods and in the second stage quantitative. The results of this study indicate that digital technology has a significant influence on Islamic banking SDI management. Digital transformation not only increases efficiency and transparency, but also accelerates decision-making and improves workforce quality through technology-based training. However, for the impact of digitalization to be optimized, Islamic banking needs to adopt a decentralized strategy in SDI management and improve digital literacy for all employees. This will ensure that digital technology is not only a supporting tool, but also an integral part of a more innovative and adaptive SDI management strategy.
СОВЕРШЕНСТВОВАНИЕ МЕХАНИЗМОВ ПРИНЯТИЯ УПРАВЛЕНЧЕСКИХ РЕШЕНИЙ С ИСПОЛЬЗОВАНИЕМ ТЕХНОЛОГИЙ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА
Authors: Бакенова Айгерим
Published: February 2025

Статья посвящена изучению путей совершенствования процесса принятия управленческих решений с использованием систем искусственного интеллекта (ИИ). В условиях быстро меняющегося мира и увеличения объемов данных традиционные методы управления становятся недостаточно эффективными. В работе рассматриваются ключевые механизмы внедрения ИИ в управление, включая автоматизацию рутинных задач, анализ больших данных и предиктивную аналитику. Обсуждаются вызовы и барьеры, с которыми сталкиваются государственные органы и организации при интеграции ИИ в свои процессы, а также необходимость создания правовой базы и обучения персонала для обеспечения этичного и эффективного использования новых технологий. В заключение предложены рекомендации по улучшению управленческих практик, направленные на повышение качества и эффективности принимаемых решений. Статья ориентирована на специалистов в области государственного управления и ученых, исследующих применение современных технологий в управлении.
КЛИМАТТЫҚ ЖАҒДАЙЛАРДЫҢ ӨЗГЕРУІ ШЕҢБЕРІНДЕ АГРОӨНЕРКӘСІПТІК КЕШЕНДЕ ТАБИҒИ РЕСУРСТАРДЫ ПАЙДАЛАНУДЫ ЗЕРТТЕУ
Authors: Есиркепова А.М. , Махмуд Д.М. , Серикова Р.Н.
Published: February 2025

Қазақстан экономикасының әлеуетті бәсекелестік артықшылықтарына оның қорлары бойынша әлемдік маңызы бар және елдің агроөнеркәсіптік кешенінің дамуына айтарлықтай дәрежеде ықпал ететін минералдық, жер, орман және, атап айтқанда, су сияқты табиғи ресурстардың элементтері жатқызылуы тиіс.
Агроөнеркәсіптік кешенді тиімді дамыту ауыл шаруашылығы өндірісінің табиғи, техникалық-экономикалық, қоғамдық-тарихи және ұйымдастырушылық-шаруашылық факторларын ғылыми негізделген есепке алу және ұтымды пайдалану арқылы мүмкін болады. Бұл ретте өндірістің негізі табиғи факторлар болып табылатынын, ал қалғандарының барлығы қоғамдық өндірістің өзінен туындағанын атап өту қажет. Экономикалық қызметтің ең жақсы нәтижелеріне аталған факторлардың оңтайлы немесе оңтайлы қатынасы қамтамасыз етілген жағдайда қол жеткізіледі. Ауылшаруашылық өндірісінде ұтымды стратегия, экономикалық қызметтің мақсатты бағыты табиғи негізді (топырақ, су, климат және т.б.) есепке алу дәрежесіне байланысты.
МАЛ ШАРУАШЫЛЫҒЫ САЛАСЫНЫҢ ДАМУ ДИНАМИКАСЫН ЗЕРТТЕУ
Authors: Көкенова А.Т. , Казанбаева Ж.С. , Купешева А.К.
Published: February 2025

Ауыл шаруашылығына қатысты соңғы үш онжылдықта қазақстандық ғалымдар жүргізген зерттеулерде көп жағдайда ел экономикасындағы көп салалы өзара іс-қимыл жасайтын элементтердің орны мен рөлін және олардың алдында біртұтас кешен ретінде тұрған міндеттерді кешенді зерттеу мақсаты теориялық тұрғыдан ғана қойылды. Бұдан басқа, мал шаруашылығынан түсетін ауыл шаруашылығы шикізатын кешенді терең өңдеу және осы процесті мемлекеттік реттеу мәселелерін зерделеуге көп секторлы жүйелі тәсіл ұсынылған жоқ.
Етті мал шаруашылығын тиімді дамыту кезінде ірі қара мал етін өндіруді жайылымдарды ұстау және етті малды бордақылау үшін ең жақсы табиғи-климаттық жағдайлар, сондай-ақ жем-шөп алқаптарының жеткілікті аудандары бар аудандарға барынша жақындату қағидаты негізге алынуға тиіс. Бұл жағдайда ауыл шаруашылығы тауарын өндіруші үшін тиімді шарттарда өндірілген өнімді өткізуді қамтамасыз ету маңызды жағдай болып табылады.
Авторлар осы салаларды қарастыруға жүйелі көзқарасты ХХ ғасырдың басында өзінің негіздемесі мен дамуына ие болған негізгі әдіснамалық тәсіл деп санайды. және бүгінгі күні сол аналитикалық әдіспен салыстырғанда ғылыми таным әдіснамасының ең көп таралған бағыты болып табылады). Оған зерттеушілер өздерінің зерттеу объектісі туралы көзқарастарына байланысты түсіндіретін элементтер жиынтығы кіреді. Бұл оларды қарастырылып отырған объектіге қатысты жүйелеу қажеттілігін анықтайды.
Біз жүйелердің белгілі қасиеттерін бірнеше санатқа бөлуді ұсынамыз - жүйенің құрылымдық, сапалық және динамикалық сипаттамалары, жүйелерді зерттеудің әдіснамалық тәсілдері және зерттеудің ең тән әдістері
Research on the Next POI Recommendation System Based on Graph Neural Networks and Attention Mechanism
Authors: Li Weilong
Published: February 2025

In order to enhance the accuracy of the POI recommendation system, a model that dynamically captures user behavior patterns was established by combining Graph Neural Networks (GNNs) and the Attention Mechanism. The experimental results show that the model improved the Top-1 accuracy by 15%, and the Top-5 and Top-10 accuracy by 13% and 15%, respectively. The conclusion indicates that the proposed method significantly improves recommendation performance and provides effective support for personalized recommendations.
Application of Deep Learning Techniques in Spatial Analysis and Impact Prediction of Trip Alarms
Authors: Sun Rongrong , Wang Chengsi
Published: February 2025

In response to the frequent trip alarm issue in distribution networks, this study innovatively proposes a deep learning-based analysis and prediction method. This method conducts exploratory analysis on massive trip alarm data to reveal the spatiotemporal distribution patterns and influencing factors of events. Subsequently, the ConvLSTM model is employed to automatically extract spatial correlation features of trip events, constructing a high-precision risk prediction model. Based on this, a graph attention network is utilized to model the topology of the distribution network, achieving precise estimation of the impact range and fault propagation paths of trip events. Experimental results demonstrate that this method effectively mines the spatiotemporal correlation information contained in trip data, providing real-time early warning and intelligent decision support for the safe and stable operation of distribution networks. Future research will incorporate more external factors to further enhance model performance and focus on engineering practice applications, providing new ideas and methods for the construction and development of smart distribution networks.
The Application of BIM Technology in Green Building Design
Authors: Feng Chenguang , Guo Yuting , Ding Jingxian , Yang Shuanglin , Wang Tingqi
Published: February 2025

With the rapid development of social economy and construction industry, the scale of construction projects in China is becoming larger and larger, the construction technology is becoming more and more complex, and the design complexity of the whole building is constantly improving. Therefore, the traditional green building design model can no longer meet the current overall building design needs, and the application of building information model (BIM) technology to the design of green buildings can just solve these problems, providing technical support and guarantee for the development of green buildings. It also provides a better environment for the development of the construction industry. This paper studies the value and application characteristics of BIM in green building, in order to provide reference for the innovative work of green building and improve the application value of BIM in green building design.
Software Defect Prediction Method Based on BOA-LGBM
Authors: Guo Jiachen , Guo Xu
Published: February 2025

An emerging research field in software engineering, software defect prediction, is playing a significant role in analyzing software quality and balancing software development costs. This study proposes a software defect prediction classifier named BOA-LGBM, which consists of three parts: feature selection, preliminary classification training, and ensemble learning, to address the challenges in feature selection and data fitting in this field. On one hand, BOA-LGBM utilizes the BOA to select relevant features, reducing data dimensionality and improving efficiency. On the other hand, BOA-LGBM employs the LGBM algorithm to reduce the risk of overfitting while integrating basic classification algorithms. Experimental results on the NASA dataset show that BOA-LGBM has improved accuracy by 0.15 and precision by 0.008 compared to existing classifiers, demonstrating its effectiveness in accurately identifying software defects and contributing to the provision of solutions for software defect prediction.
Multi-Metric Based Client Selection for Backdoor Defense in Federated Learning
Authors: Yuan Changjiang , Li Yidong , Chen Naiyue , Zhang Zikai
Published: February 2025

The distributed nature of federated learning makes it highly susceptible to backdoor attacks, which aim to induce the model to produce incorrect results when specific data is input. Existing defense methods based on distance calculations mostly use one single distance, which can be easily circumvented by backdoor attacks. Therefore, we conducted research on the combination of multiple distances. Based on this, we propose a backdoor defense algorithm based on multi metrics, which evaluates models through distance calculation and normalization to select benign models for aggregation. To verify the effectiveness of our method, we conducted experiments on three datasets, and the results prove that our method can provide good defense without reducing the model’s main task accuracy.
Immersive Interaction Design in Tourism and Leisure Experience Using Virtual Reality Technology
Authors: Zhang Lu
Published: February 2025

To enhance the immersive experience in tourism and leisure, a multi-sensory interaction model was constructed using virtual reality technology. The integration design of feedback systems, including visual, auditory, and tactile feedback, was analyzed, and real-time interaction and sensory feedback were achieved through hardware configuration and software integration. The results show that virtual reality technology effectively enhances users’ engagement and immersion, while also having broad application potential in improving tourism experience quality and promoting the upgrading of the tourism industry.
Preliminary Conception and Relevant Suggestions About Knowledge Construction on Defense Science and Technology Information Under Big Data Environment
Authors: Geng Weibo , Wei Zhaolei , Zhao Yingxiao , You Hongliang , Xu Ping , Guo Quankui , Cai Jiaoyang
Published: February 2025

With the development of big data technology, the theoretical methods of knowledge construction on defense technology information field urgently needs to be optimized and improved. This paper analyzes in detail the situations and issues confronting knowledge construction about defense science and technology information, which based on the basic characteristics of the big data environment and the main challenges of Defense Science and Technology Information (DS&TI) research. It systematically sorts out the capability requirements and data categories of DS&TI research in the era of big data. The paper designs the overall framework for knowledge construction on DS&TI, which includes “data foundation layer - generation method layer - knowledge classification layer - capability requirement layer” and proposes strategies and relevant suggestions about knowledge construction on DS&TI field. This article’s research provides macro guidance and reference for knowledge construction on DS&TI and provides support for DS&TI research.
Integrating Collaborative Information into LLMs for Recommendation via Prompt Retrieval
Authors: Liu Wei , Wu Jiancan
Published: February 2025

Leveraging Large Language Models (LLMs) as recommenders has garnered significant attention due to their remarkable capabilities and outstanding performance across various domains. This research focuses on enhancing LLM-based recommenders by investigating effective strategies for integrating collaborative information within in-domain interaction data, a pivotal element for the efficacy of traditional recommender systems. Previous studies approach this objective from two main perspectives. The first involves fine-tuning LLMs on in-domain data to absorb collaborative signals, which becomes inefficient when handling common large-scale interaction data due to the extensive parameters in LLMs. The second initially encodes collaborative information within interactions using auxiliary models and subsequently integrates these encoded entities into LLMs. However, this technique complicates the fine-tuning process due to the misalignment of encoded entities with the input space of LLMs and impedes LLMs from reasoning on raw signals. In contrast, we are inclined to directly incorporate raw collaborative interactions into the input of LLMs. For this purpose, we propose PICoRec, a Prompt retrieval framework designed to Integrate Collaborative information into LLMs for Recommendation. Specifically, it retrieves collaborative users and their corresponding interactions from the user-indexed interaction database and formats them into textual prompts to enrich the input. By independently incorporating each prompt into the input and aggregating the predictions, PICoRec significantly boosts recommendation performance without a substantial increase in computational overhead. Comprehensive experiments validate the superiority of our proposed approach.
Application of Rapid Calculation for Infrared Radiation Characteristics in Hypersonic Vehicle
Authors: Yang Huicheng , Yang Qingzhen , Shi Yongqiang , Du Xubo , Liu Xinyuan
Published: February 2025

Hypersonic vehicles experience severe aerodynamic heating, resulting in intense infrared radiation, which can serve as a source for target detection and identification. A rapid simulation method for infrared radiation characteristics was proposed, incorporating the Discrete Transfer Method. Using the X-51A hypersonic vehicle as a model, the flow field characteristics under cruising conditions were calculated, infrared intensity at various detection angles were computed, speed tests were also conducted. The results indicate that this method achieves a computation rate of 6 detection angles per second while maintaining high accuracy; The total infrared radiation intensity of the vehicle is highest in the 3-5 μm band, with solid components contributing the vast majority of the radiation. Gas radiation significantly impacts only the rear direction, accounting for about 33%. Due to aerodynamic heating on the upper and lower surfaces, the peak infrared intensity in the pitch plane is 20% higher than in the yaw plane. These findings provide reference for the detection and identification of hypersonic vehicles.
An IANFIS for High-Precision Predicting the Materials Removal Rate of Robot Polishing
Authors: Xu Ning , Yang Xiaolong , Huang Kui , Liu Ningzhao , Qin Chuangji , Zhao Jiqing , Yan Jingnan
Published: February 2025

Hydropower equipment suffers from surface wear and internal crack propagation during long-term operation, significantly affecting its performance and service life. While robotic full-process additive and subtractive repair technology offers an innovative solution for defect treatment in large hydropower components, the key challenge lies in precisely controlling the Material Removal Rate (MRR) during the grinding process. This study proposes a high-precision MRR prediction method based on an Improved Adaptive Neuro-Fuzzy Inference System (IANFIS). The method combines the interpretability of fuzzy inference with the learning capability of neural networks and innovatively introduces a calibration unit to cope with pressure fluctuations during processing. Experimental results show an average absolute error of 1.033μm, significantly outperforming traditional methods. This technology holds significant importance for improving repair quality and extending the service life of hydropower equipment.
Research on Machine Learning Assisted Hidden Danger Identification and Defect Analysis in Transmission Line Monitoring
Authors: Sun Rongrong , Wang Chengsi
Published: February 2025

A machine learning-based method for detecting hazards and recognizing defects in transmission lines is proposed in this study. This method preprocesses the image data of transmission lines and employs an improved convolutional neural network model called attenalexnet to achieve precise localization of transmission towers, insulators, and conductors, as well as intelligent identification of defects such as icing, foreign objects, and damages. Large-scale testing on real transmission line image datasets demonstrates that this method reliably detects transmission line hazards with an accuracy of 96.7% and a detection speed of 203ms, providing strong support for intelligent operation and maintenance of transmission lines. Additionally, experimental results confirm the method’s robustness, effectively coping with adverse weather and complex environmental factors. The research findings are expected to further promote the intelligent development of transmission line safety monitoring systems.
Digital Transformation and the Improvement of Corporate ESG Performance: An Entrepreneurial Perspective
Authors: Lyu Fanfan
Published: February 2025

The externality nature inherent in corporate ESG (Environmental, Social, and Governance) endeavors results in suboptimal ESG investment levels. Entrepreneurial endeavors offer a fresh lens through which to capitalize on the digital transformation wave, bolstering firms’ capacity to execute ESG practices and harnessing latent internal strengths. Drawing on a cohort of Chinese manufacturing firms spanning 2018 to 2022, this study introduces intermediary constructs encompassing entrepreneurial innovation, societal responsibility, and an entrepreneurial eco-conscious mindset, to scrutinize the effects and underlying mechanisms of digital transformation on corporate ESG outcomes. The findings underscore that digital transformation serves as a catalyst, significantly enhancing corporate ESG performance. Furthermore, the mediation analysis reveals that this enhancement stems from fostering entrepreneurial innovation and societal responsibility, whereas it may be dampened by a diminished entrepreneurial environmental stewardship mindset. These insights offer empirical foundations for shaping digital development strategies and optimizing ESG performance within the entrepreneurial business landscape.
Research on the Strategy of Innovation and Entrepreneurship Education in Higher Vocational Colleges from the Perspective of Rural Revitalization
Authors: Yang Guoxun , Zou Jiang , Li Xiaohui
Published: February 2025

The report of the 19th National Congress of the Communist Party of China made a significant and far-reaching strategic plan for rural revitalization and clarified the core position and key role of rural revitalization in building a well-off society in an all-round way and building a strong socialist modern country. As the country’s reserve talent training base and the source of technological innovation, higher vocational colleges bear the historical responsibility of national progress and social development and shoulder the important mission of promoting rural revitalization and helping the country prosper. How to cultivate college students’ sense of responsibility and social mission and stimulate their innovative and entrepreneurial thinking is a key issue for higher vocational colleges to think about. Drawing upon the present landscape of innovation and entrepreneurship education within higher vocational institutions, this article delves into the strategic positioning of such education within the broader context of rural revitalization endeavors, explores the interplay between innovative entrepreneurship education within higher vocational institutions and the revitalization strategy of rural areas, grounded in theoretical foundations. It establishes a conceptual framework for analyzing this connection, aimed at bolstering the cultivation of rural revitalization talents through innovative and entrepreneurial education in vocational colleges. Furthermore, this investigation proposes practical approaches for implementing such education, with the ultimate aim of fostering the premium development of vocational education, thereby enhancing the overall quality of higher vocational educational institutions.