bluuebunny/crossref_metadata_2025 huggingface dataset:
УПРАВЛІННЯ ЗЕМЕЛЬНИМИ РЕСУРСАМИ В УМОВАХ РЕГУЛЮВАННЯ ЗЕМЕЛЬНИХ ВІДНОСИН НА СІЛЬСЬКИХ ТЕРИТОРІЯХ
Authors: БОНДАРЕНКО Валерій , ЦІХАНОВСЬКА Вікторія , АЛЕКСАНДРОВ Дмитро
Published: February 2025

У статті охарактеризовано забезпечення сталого розвитку сільських територій на основі регіонального економічного зростання і посилення державної підтримки сільської економіки, яка дозволить уповільнити процеси депопуляції і стабілізувати демографічну ситуацію в сільській місцевості, підвищити рівень зайнятості працездатних сільських жителів, скоротити частку сільського населення з доходами нижче величини прожиткового мінімуму, модернізувати соціальну інфраструктуру, поліпшити доступ селян до суспільних послуг і підвищити рівень благоустрою сільських поселень.Проаналізовано, що одним з основних завдань є подолання відомчої роз'єднаності в управлінні сільською місцевістю і посилення координації в забезпеченні сільського розвитку між: міністерствами і відомствами; державними, регіональними та місцевими органами влади; органами державної та органами місцевого самоврядування, громадськими та комерційними організаціями, об'єктами бізнесу та населенням.Виявлено, що основними проблемами сільського розвитку залишаються нестабільні умови і організація праці, низькій рівень побутових умов, нестійке матеріальне забезпечення, неякісні житлові умови, занепад інженерної інфраструктури, що створює передумови для росту міграційного потенціалу сільських мешканців і нестійкого сільського розвитку.
Challenges of Learning Silent Phonemes/Letters: The Case of Saudi English Language Learners
Authors: Alshehri Nada
Published: February 2025

Silent phonemes, present in written English but absent in normal pronunciation, challenge non-native speakers, especially foreign language learners (Saudis) who rely on spelling clues for pronunciation instruction. This study examines how Saudi First Year English Language Program (FYEP) university students face problems in pronunciation of words with silent phonemes. The differences between Arabic and English phonological systems make silent phonemes in English vocabulary difficult for Arabic-speaking learners. Following descriptive qualitative methodology, this study included 50 EFL students. Two raters evaluated the participants’ speech with silent phonemes using a preset checklist that stressed pronunciation standards. The study revealed that most of the students had trouble pronouncing words with silent phonemes, particularly ending consonant clusters. The study also revealed specific terms that consistently affected student performance, supporting literature related to the issues of the silent and pronunciation. These findings suggest using instructional methodologies and pronunciation drills to gradually and methodically integrate silent phoneme pronunciation norms into tertiary language learning. Arabic-speaking EFL learners would benefit from this tailored approach, improving pronunciation accuracy, spoken English proficiency, and language learning.
A Cross-sectional Study of Learning Environment and Academic Success Amongst School Children in the Ranyah Region, Saudi Arabia
Authors: Al-Sharari Hadwa Mohmmad Salam
Published: February 2025

The study investigates the impact of learning environments on academic success among primary school children in the Ranyah region, Saudi Arabia. A cross-sectional quantitative design was used with a sample of 385 students selected via simple random sampling. Data collection employed a structured questionnaire addressing socio-demographics, learning environment factors, and academic success. Statistical analyses, including Pearson’s correlation and regression, were conducted using SPSS v28.0 (significance level  < 0.05). Findings revealed significant positive correlations between academic success and classroom climate (r = 0.45), parental involvement (r = 0.38), and resource availability (r = 0.52). Learning environment scores averaged 3.75 (SD = 0.85), and academic success scores averaged 4.10 (SD = 0.72). These results highlight the importance of supportive school and home environments in enhancing student performance. The study underscores the need for interventions to improve learning conditions and equitable resource distribution while fostering parental engagement to enhance academic outcomes.
Analisis Kemampuan Pemecahan Masalah Matematis Siswa SMA Kelas XI Pada Materi Lingkaran
Authors: Nurul Rahmah Al Fadliilah  , Anindya Khoirunnisa  , Rio Anggoro Pangestu  , Ahmad Falahudin Alkhaffili
Published: February 2025

Kemampuan pemecahan masalah merupakan hal penting dalam proses pembelajaran matematika karena dalam penyelesaian matematika terdapat berbagai proses pemikiran. Matematika menjadi mata pelajaran wajib yang menunjang keberhasilan pada semua jenjang. Tujuan penelitian ini adalah untuk mengetahui kemampuan pemecahan masalah matematis siswa. Metode yang digunakan adalah analisis deskriptif kualitatif. Hasil penelitian menunjukkan: 1) S-5 dan S-6 dengan kemampuan pemecahan masalah matematis rendah mampu memahami masalah, kurang mampu dalam menyusun rencana penyelesaian, kurang mampu dalam melaksanakan rencana penyelesaian, dan kurang mampu menafsirkan hasil. 2) S3 dan S-4 dengan kemampuan pemecahan masalah matematis sedang mampu memahami masalah, mampu dalam menyusun rencana penyelesaian, kurang mampu dalam melaksanakan rencana penyelesaian, dan kurang mampu dalam menafsirkan hasil. 3) S-1 dan S-2 dengan kemampuan pemecahan masalah matematis tinggi mampu memahami masalah, mampu dalam menyusun rencana penyelesaian, mampu dalam melaksanakan rencana penyelesaian, dan kurang mampu dalam menafsirkan hasil.
Desain Perangkat Pembelajaran Menggunakan Model Eliciting Activities pada Kurikulum Merdeka
Authors: Cut Wira Sukma Martha  , Putri Yuanita  , Kartini
Published: February 2025

Ketersediaan perangkat pembelajaran dan kemampuan guru dalam menyusun perangkat pembelajaran berpengaruh terhadap terlaksananya implementasi kurikulum Merdeka di satuan pendidikan. Optimalnya pelaksanaan pembelajaran juga tidak terlepas dari perangkat pembelajaran yang digunakan. Kurangnya pengetahuan guru dalam menyusun perangkat pembelajaran berbasis kurikulum Merdeka menyebabkan perangkat pembelajaran tersebut tidak memadai. Berdasarkan permasalahan tersebut, peneliti melakukan research and development untuk perangkat pembelajaran menggunakan model Elicitng Activities (MEAs). Perangkat pembelajaran yang dikembangkan yaitu Alur Tujuan Pembelajaran (ATP) dan Modul Ajar. Modul ajar yang dikembangkan menggunakan tahapan model MEAs pada materi teorema phytagoras fase D. Sintaks dari model MEAs yaitu, 1) mengidentifikasi dan menyederhanakan masalah; 2) membuat model matematis; (3) mentrasformasikan dan menyelesaikan masalah, (4) mengevaluasi hasil penyelesaian masalah. Pada penelitian ini, peneliti hanya menggunakan 2 tahapan model pengembangan Plomp yaitu tahap preliminary research dan prototyping phase karena perangkat yang dikembangkan hanya sampai pada tahap desain. Pada tahap preliminary research, peneliti melakukan analisis perangkat pembelajaran, analisis materi dan analisis siswa. Tahap prototyping phase, peneliti merancang perangkat pembelajaran berdasarkan hasil dari analisis yang dilakukan serta perangkat tersebut sudah divalidasi oleh expert review. Berdasarkan hasil validasi, ATP yang dikembangkan dinyatakan sangat valid dengan nilai 95,50 dan modul ajar dinyatakan sangat valid dengan nilai 93.
Model Exponential Smoothing-Generalized Space Time Autoregressive with Exogenous Variable (GSTARX) dengan Estimasi Parameter Generalized Least Square (GLS)
Authors: Adiska Sephia Sari  , Dewi Retno Sari Saputro
Published: February 2025

Diantara model deret waktu multivariat yang digunakan dalam fenomena ruang dan waktu yakni model VAR, STAR, dan GSTAR. Salah satu bentuk khusus model GSTAR yakni model GSTARX, yang merupakan adaptasi model VARX dengan menggabungkan faktorfaktor: ruang, waktu, dan faktor eksogen untuk mampu menangkap pola kompleks dalam data yang multivariat. Dalam data dengan volatilitas tinggi, teknik smoothing digunakan untuk mengurangi fluktuasi dan volatilitas data sehingga pola utama lebih terlihat dan residual autokorelasi dapat diminimalkan seperti halnya model GSTARX sehingga model menjadi Exponential Smoothing-GSTARX. Estimasi parameter pada model tersebut dilakukan dengan Generalized Least Square (GLS), yang dirancang untuk mengatasi masalah heteroskedastisitas dan autokorelasi pada eror sehingga menghasilkan estimasi parameter yang efisien. Dengan demikian tujuan penelitian ini untuk melakukan kajian ulang model GSTARX dengan pengembangan smoothing dan estimasi parameter dengan GLS. Hasil penelitian menunjukkan bahwa parameter eksogen dan parameter spasial-temporal memberikan estimasi yang konsisten, dengan matriks bobot spasial mampu merepresentasikan hubungan antar lokasi secara akurat. Kombinasi antara pengaruh eksogen, dan estimasi dengan GLS dan teknik smoothing menghasilkan model yang fleksibel dan akurat untuk menganalisis data dengan dinamika spasial-temporal yang kompleks.
Pengembangan Media Pembelajaran Video Interaktif Berbasis H5P pada Materi Persamaan Garis Lurus
Authors: Salma Renjani Ratu Utami  , Dindin Sobiruddin  , Gelar Dwirahayu
Published: February 2025

Pendidikan merupakan salah satu pilar utama yang berperan penting dalam membangun karakter suatu bangsa. Perkembangan dalam dunia pendidikan dipengaruhi oleh teknologi yang semakin berkembang pesat. Penelitian ini dilatarbelakangi kurangnya penggunaan media pembelajaran yang menarik dan inovatif untuk meningkatkan minat dan motivasi belajar peserta didik. Tujuan dari penelitian ini yaitu untuk mengembangkan media pembelajaran video interaktif berbasis H5P pada materi persamaan garis lurus. Metode penelitian yang digunakan dalam penelitian ini adalah Research and Development (R&D) dengan model pengembangan ADDIE yaitu Analysis, Design, Development, Implementation, dan Evaluation. Hasil penelitian ini menunjukkan bahwa uji validasi oleh ahli media dan ahli materi dinilai sangat valid, selain itu pada hasil uji kelayakan memperoleh nilai persentase sebesar 94,44% pada kualitas isi, persentase sebesar 94,67% pada kualitas instruksional, dan 100% pada kualitas teknis. Lalu, pada hasil respon peserta didik kelompok besar mendapatkan kategori sangat baik dengan hasil persentase sebesar 89,55% pada kualitas isi, kualitas instruksional sebesar 88,67% dan kualitas teknis sebesar 90%. Maka, dapat disimpulkan bahwa media pembelajaran video interaktif berbasis H5P sangat layak untuk digunakan dalam pembelajaran matematika.
Pengembangan Perangkat Pembelajaran Berbasis PBL Berbantuan Geogebra dalam Meningkatkan Kemampuan Penalaran Matematis Siswa SMP
Authors: Nurhasanal Sirait
Published: February 2025

Penelitian ini bertujuan untuk mengetahui kevalidan, kepraktisan dan keefektifan perangkat pembelajaran berbasis PBL berbantuan Geogebra yang dikembangkan dalam meningkatkan penalaran matematis siswa. Penelitian ini termasuk dalam penelitian pengembangan. Model pengembangan yang digunakan adalah 4-D. Penelitian ini melibatkan siswa kelas VIII SMP Negeri 5 Medan. Hasil penelitian menunjukkan bahwa: 1) Perangkat yang dikembangkan valid dengan (a) rata-rata hasil validasi Modul ajar sebesar 4,34, bahan ajar sebesar 4,23, Lembar Kerja Siswa sebesar 4,24, tes kemampuan penalaran matematis sebesar 4,18. 2) Perangkat yang dikembangkan dikategorikan praktis dengan hasil uji coba I memperoleh nilai rata-rata sebesar 3,07 (kategori “Sedang”), sedangkan pada uji coba II nilai rata-rata sebesar 4,04 dengan kategori “Tinggi”; 3) perangkat yang dikembangkan dikategorikan efektif karena (a) Pencapaian tes akhir kemampuan Penalaran Matematis siswa pada uji coba I sebesar 52% dengan jumlah siswa sebanyak 21 siswa (58,33%) dinyatakan tuntas dan uji coba II 30 siswa tuntas atau 83,34%. (b) nilai angket respon siswa pada uji coba I sebesar 89% dan pada uji coba II sebesar 95%. 4) terdapat peningkatan kemampuan penalaran matematis siswa dengan skor sebesar 0,28 (0,3 < g≤0,7) pada uji coba 1 dan uji coba II terdapat peningkatan skor dengan kriteria “sedang” dengan skor sebesar 0,67 (0,3 < N-Gain ≤0,7).
Analisis Kemampuan Siswa pada Materi Sifat-Sifat Logaritma di Kelas 10 Pemasaran SMK Baitussalam
Authors: Kuncoro Sigit , Arvansha Chidan , Aerudin Muhammad , Irvansyah Moh , Karimah Sayyidatul
Published: February 2025

Kesulitan siswa dalam memahami dan menerapkan sifat-sifat logaritma merupakan permasalahan yang sering ditemukan dalam pembelajaran matematika. Hal ini bertujuan untuk menganalisis kemampuan siswa, khususnya pada kelas 10 jurusan Pemasaran di SMK Baitussalam Kota Pekalongan dalam memahami dan menyelesaikan soal yang berhubungan dengan sifat-sifat logaritma. Metode yang digunakan adalah metode deskriptif kualitatif dengan melibatkan 21 siswa sebagai subjek. Data dikumpulkan melalui tes uraian yang terdiri dari 8 soal terkait sifat-sifat logaritma. Hasil penelitian menunjukkan bahwa siswa cenderung mengalami kesulitan pada soal dengan tingkat kompleksitas tinggi, terutama yang membutuhkan manipulasi bentuk logaritma. Siswa masih kurang dalam pemahaman terhadap konsep dasar, kesalahan prosedural, serta ketergantungan pada hafalan sifat logaritmaa. Kesalahan-kesalahan yang diidentifikasi meliputi kesalahan dalam memodelkan operasi logaritma, memahami langkah penyelesaian, dan ketelitian dalam perhitungan. Oleh karena itu, diperlukan pendekatan pembelajaran yang lebih terfokus pada pemahaman konsep logaritma secara mendalam. Guru perlu menerapkan strategi pembelajaran yang kontekstual untuk meningkatkan kemampuan dalam menyelesaikan permasalahan sifat-sifat logaritma.
Pengaruh Pendekatan Concrete Pictorial Abstract (CPA) terhadap Kemampuan Literasi Numerasi pada Topik Aljabar
Authors: Annissa As Syifa  , Otong Suhyanto  , Khairunnisa
Published: February 2025

Kemampuan literasi numerasi siswa di Indonesia masih tergolong rendah, sebagaimana tercermin dari skor PISA tahun 2018 dan 2023 yang masih jauh di bawah rata-rata global. Rendahnya kemampuan ini berdampak pada kesulitan siswa dalam memahami konsep matematika abstrak dan penerapan numerasi dalam kehidupan sehari-hari mereka. Penelitian ini bertujuan untuk melihat pengaruh pendekatan Concrete-Pictorial-Abstract (CPA) terhadap kemampuan literasi numerasi siswa pada topik aljabar. Penelitian ini menggunakan pendekatan kuantitatif dengan metode quasi eksperimen dan menggunakan desain Randomized Post-Test Only Control Group. Sampel terdiri dari 37 siswa kelas eksperimen yang diajarkan dengan pendekatan Concrete-Pictorial-Abstract (CPA) dan 36 siswa kelas kontrol dengan pendekatan konvensional. Data dikumpulkan melalui Post-Test literasi numerasi dan dianalisis menggunakan uji-t. Hasil penelitian menunjukkan bahwa rata-rata kemampuan literasi numerasi siswa di kelas eksperimen lebih tinggi dibandingkan dengan kelas kontrol. Pendekatan Concrete-Pictorial-Abstract (CPA) dapat membantu siswa memahami konsep abstrak melalui tahapan konkret, gambar, dan abstrak, yang mampu meningkatkan pemahaman numerasi. Kesimpulan dari penelitian ini adalah bahwa kelas yang diajarkan menggunakan pendekatan Concrete-Pictorial-Abstract (CPA) memiliki kemampuan literasi numerasi yang lebih baik jika dibandingkan dengan kelas yang diajarkan menggunakan pendekatan konvensional.
Kemampuan Representasi Matematis Siswa Ditinjau dari Self-Efficacy pada Model Discovery Learning dengan Pendekatan Saintifik
Authors: Jacinda Athifah Santosoputri  , Mashuri
Published: February 2025

Penelitian ini dilatarbelakangi tentang pentingnya representasi matematis pada pembelajaran matematika. Penelitian ini bertujuan untuk menggambarkan: 1) Kualitas model Discovery Learning dengan pendekatan saintifik terhadap kemampuan representasi matematis; 2) Kemampuan representasi matematis yang dilihat dari self-efficacy. Penelitian ini menggunakan metode mix-method dengan desain quasi-experimental berbasis pretest-posttest control group design. Populasi penelitian ini adalah siswa kelas VIII SMP Negeri 5 Pati. Sampel diambil menggunakan teknik pemilihan kelas acak, dengan kelas VIII E sebagai kelas eksperimen dan VIII D sebagai kelas kontrol. Subjek penelitian dipilih dengan teknik purposive sampling, dengan 9 subjek yang dipilih berdasarkan kategori self-efficacy siswa. Metode pengumpulan data menggunakan tes, angket, dan wawancara. Hasil penelitian menunjukkan bahwa (1) Pembelajaran model Discovery Learning dengan pendekatan saintifik berkualitas dalam meningkatkan kemampuan representasi matematis siswa kelas VIII SMP Negeri 5 Pati yang dilihat dari hasil tahap perencanaan, proses pembelajaran, dan evaluasi pembelajaran; (2) subjek dengan self-efficacy tinggi (S-01, S-02, dan S-03) cenderung memenuhi ketiga indikator tersebut dengan baik; Subjek dengan self-efficacy sedang (S-04, S-05, S-06) menunjukkan kemampuan baik pada indikator visual dan simbolik, meskipun S-04 dan S-05 kesulitan pada indikator simbolik, serta S-06 pada indikator verbal; subjek dengan self-efficacy rendah (S-07, S-08, S-09) mengalami kesulitan pada indikator simbolik dan verbal, meskipun dapat memenuhi beberapa indikator lainnya, meski belum maksimal.
Keterampilan Berpikir Kritis Menggunakan Model SSCS dan PPB pada Materi Jaringan Hewan
Authors: Sopia  , Listiawati Milla , Ukit
Published: February 2025

Tujuan dari penelitian ini adalah untuk mengetahui perbedaan keterampilan berpikir kritis siswa pada kelas yang menggunakan model SSCS dan kelas yang menggunakan model PBL. Metode yang digunakan dalam penelitian ini adalah Eksperimen semu dengan design penelitian Pretest and Posttest design. Penelitian ini menggunakan sampel sebanyak 70 orang dari kelas XI MIPA 1 dan XI MIPA 2 dipilih dengan sampel purposive. indikator yang digunakan dalam penelitian ini berupa soal essay yang berindikator keterampilan berpikir kritis. Hasil penelitian ini menunjukan bahwa nilai pretest dan posttest pada kelas yang menggunakan model SSCS Sebesar 37,64 (sangat rendah) dan 89,56 (tinggi). nilai pretest dan posttest pada kelas yang menggunakan model PBL Sebesar 44,33 (sangat rendah) dan 85,44 (tinggi).  Dengan H0 ditolak sehingga terdapat perbedaan antara keterampilan berpikir kritis pada kelas yang menggunakan model SSCS dan Kelas yang menggunakan model PBL. Hasil dari effect size sebesar 0,44 termasuk kedalam kategori sedang.
ОБНОВЛЕНИЕ И ВОЗРОЖДЕНИЕ НАЦИОНАЛЬНЫХ ИНДУСТРИАЛЬНЫХ КАДРОВ КАЗАХСТАНА (1991-2009 гг.)
Authors: Асылбекова Ж. , Апендиев Т. , Актамбердиева З.
Published: February 2025

Статья посвящена изучению важных аспектов истории национальных индустриальных кадров Казахстана в 1991-2009 годы. Для современного Казахстана, как индустриально-аграрного государства, располагающего богатейшими природными ресурсами, мощным научно-техническим и экономическим потенциалом, вопрос о состоянии технических специалистов является весьма актуальным. И в прошлом, и сейчас и  в перспективе, благодаря богатству и разнообразию полезных ископаемых, индустриальный прогресс Казахстана будет во многом обеспечиваться за счет ускоренного роста тяжелой индустрии, прежде всего ее топливно-энергетических отраслей, химической промышленности, а так же цветной и черной металлургии. Известно, что основным производителем материального богатства в условиях Казахстана был и остается рабочий класс. В современных условиях подготовка высококвалифицированных рабочих и специалистов из казахов становится актуальной проблемой для развития индустриальных отраслей экономики, где стали острее ощущать нехватку профессионально подготовленных кадров. Численность учащихся в общеобразовательных школах растет, число учебных заведений и учащихся в системе профессионального начального образования стабильно сокращается.
Со второй половины 1980-х и в 1990-е годы проявилась и укрепляется позитивная тенденция роста удельного веса  национальных кадров в ведущих отраслях материального производства -промышленности и строительстве, хотя и он все еще был ниже, чем их доля в составе населения республики. Основную массу коллективов, как и ранее, продолжали составлять представители европейских этносов. Традиционно коренной этнос был более широко представлен в аграрном секторе экономики и на транспорте. Во-вторых, продолжался процесс перераспределения занятого населения между сферами физического и умственного труда, часть казахского этноса пополняла ряды работников интеллектуального труда. При этом, сейчас наблюдается  процесс достаточно широкого вливания и адаптации коренного этноса, особенно молодежи в различных отраслях рыночных отношений. Поэтому, авторы уверены, что ядром государственной политики в области трудовых ресурсов должна стать задача создания системы качественного, профессионального образования, прежде всего, системы начальной и средней профессиональной подготовки, а также, продуманная миграционная политика.
INTELLECTUAL CAPITAL AS A DRIVER OF ECONOMIC GROWTH
Authors: Mazhitova N.A. , Umirzakova M.A. , Abdimomynova A.Sh.
Published: February 2025

The article examines the role of intellectual capital as a key driver of economic growth in the context of the global knowledge economy. It explores the scientific aspects of the formation and utilization of intellectual capital, including human, structural, and market capital. Particular attention is paid to the relationship between the development of intellectual capital and the enhancement of economic competitiveness, as well as the impact of knowledge, innovations, and technological progress on economic processes. The relevance of the topic lies in the fact that the level of development of intellectual capital components varies across countries, and strengthening these components can ensure economic growth. The development of national welfare directly depends on the level of scientific and technological progress, new developments, as well as the adoption of technologies and the advancement of human capital. The development of the economy is determined by its innovative orientation. The aim of the article is to substantiate the role of intellectual capital as a key driver of economic growth and, based on scientific research, to determine its structure, functions, and significance for economic and innovative development. Drawing on scientific studies, the authors identified the main mechanisms for integrating intellectual capital into economic processes and emphasized its importance in ensuring sustainable development within the modern knowledge economy.
The results of the study confirm a direct correlation between the level of intellectual capital development and the pace of economic growth. It was also established that intellectual capital operates with varying efficiency in developed and developing countries. In developing countries, particular attention should be paid not only to ensuring access to education but also to improving its quality. Any efforts aimed at accelerating economic growth must be based on intellectual capital.
Kinematic Analysis of a Novel 3-UPrU Parallel Mechanism
Authors: Liu Jingfang , Liu Yao , Tian Shuai
Published: February 2025

To meet the needs of the remote center-of-motion (RCM) in minimally invasive surgery, a novel 3-UPrU parallel mechanism is proposed that allows for two rotations around the incision site and movement in the direction of the incision point. The screw theory is used to solve the degree-of-freedom(DOF) of the mechanism, utilizing the limit boundary method solve the workspace of the mechanism. The research in this paper demonstrates that the mechanism has RCM motion properties, which can suit the needs of minimally invasive surgery implying that the mechanism has some application potential.
Improving the Impact of EDFA Gain Saturation on Measurement Accuracy in FLRDS Systems Using 1D-CNN
Authors: Li Yawen , Su Zhanshang , Zhu Cunguang
Published: February 2025

In a fiber loop ring-down spectroscopy (FLRDS) system, the gain saturation absorption effect of the erbium-doped fiber amplifier (EDFA) leads to gain fluctuations in attenuation pulses thereby significantly impacting measurement accuracy. To reduce this impact, we propose an end-to-end model using one-dimensional convolutional neural network (1D-CNN). By preprocessing FLRDS data and feeding it into the model for training, the model can predict data with unknown concentrations. This method avoids the traditional decay curve fitting process and indirectly reduces the negative impact of EDFA gain saturation absorption behavior on FLRDS measurement accuracy.
To Serve E-Learning: A Generative Dialogue Framework Based on Fine-Tuned Large Language Model
Authors: Zhou Fang , Liu Yanhong , Xiao Jing
Published: February 2025

E-learning has always been the focus of modern education. Since 2023, the rapid development of open-source large language models may bring revolutionary benefits to E-learning. Taking the classroom teaching of the Practical Tutorial for University Computer Basics Spoc as an example, this paper designs a chatbot “AI-Assisted Teacher” based on a fine-tuned LLaMA3 and applies it to E-learning environments. With the help of machine learning and knowledge graphs, a course-specific dataset was created. The large language model overcomes the shortcomings of easy hallucination and poor decision-making ability to a certain extent, enabling the “AI-Assisted Teacher” to engage in a more friendly and professional dialogue with students in E-learning environments. Experiments show that the fine-tuned LLaMA3 has significantly improved its understanding of the comprehensive education dataset compared to the basic large language model, with the best Bleu-4, Rouge-1, Rouge-2, and Rouge-L scores being 25.44, 42.42, 21.77, and 29.47, respectively. During the manual testing phase, the chatbot “AI-Assisted Teacher” can teach course knowledge, and more importantly, the dialogue mode is closer to that of a real-life teacher. This paper combines machine learning, knowledge graphs, and large language models to apply E-learning for the first time, providing ideas for colleges and universities to explore E-learning environments.
Advancing Three-Dimensional Human Pose Estimation Through Spatiotemporal Feature Fusion in Graph Convolutional Networks
Authors: Chen Luoyang , Li Junxian , Tao Ye , Cheng Yazhe , Du Weibiao , Liu Zheng , Bao Xingdong , Mao Hongxia
Published: February 2025

Accurate three-dimensional (3D) human body pose estimation from video imagery is critical for a variety of applications, including action recognition, body language interpretation, motor skill acquisition, and motion capture. Despite considerable progress in this area, current methodologies often struggle to effectively integrate spatiotemporal features, resulting in limitations in both pose estimation accuracy and computational efficiency. Addressing this gap, we propose a novel graph convolutional network that synergistically fuses spatiotemporal properties to enhance 3D human pose estimation. By utilizing a sequence of human 2D poses as input, we extract spatial features through a semantic map convolutional network and temporal features using a time domain convolutional network. Additionally, we introduce a grouping Top K pooling method to optimize the extraction of multi-scale structural features, significantly reducing model parameters while enhancing pose estimation accuracy. Experimental evaluations on publicly available datasets demonstrate that our approach achieves highly accurate 3D pose estimation with real-time processing capabilities. This research not only provides a robust solution 3D pose estimation but also advances the field by improving the integration of spatiotemporal features, thus enhancing applicability in real-world scenarios.
Research and Application of Key Inspection Equipment for High-Speed Comprehensive Inspection Train
Authors: Wang Yan , Li Lin , Wei Shibin , Yang Fei , Dai Peng , Fei Jiyou
Published: February 2025

The high-speed comprehensive inspection train is an important tool for the maintenance of high-speed railway infrastructure. Through the literature-investigation method, this paper summarized relevant research in China focusing on key inspection equipment for high-speed comprehensive inspection train. The key inspection equipment includes the track geometry measurement and catenary geometry measurement. The major achievements of key inspection equipment are clarified based on the chronological order of literature publication. The results indicate that there are shortcomings in function, integration, and intelligence. In light of prevailing challenges, the evolution of key inspection equipment should pivot towards the function diversification, equipment miniaturization and integration, and procedure intelligence. That will contribute to create the modern inspection equipment characterized by high reliability, comprehensive parameter, and precise data.
Research on Missile Stability Control Based on Model-Free Adaptive Control
Authors: Zhang Ou , Lu Haiying , Wei Shishun , Liu Lingnan
Published: February 2025

In response to the strong uncertainty and nonlinearity of missile mathematical model, a study on data-driven model-free adaptive control (MFAC) method is carried out to break the conventional stability control method that heavily relies on missile mathematical model. Taking missile stability control design as research background and considering the characteristics of missile stability control loop and, a MFAC approach is proposed independent of missile model parameters, and the mechanism analysis of the improved MFAC is conducted, respectively. The effectiveness and feasibility of the proposed MFAC method are verified through simulation, and data-driven of the missile stability control system is achieved. Compared with traditional classical three-loop control method, the proposed MFAC approach has a faster rise time and better control performance.
Design and FPGA Implementation of a High-Order Orthogonal Modulation Model
Authors: Shan Baotang , Lv Jin , Ren Xiaohang , Zhang Qiuxuan
Published: February 2025

To meet the requirement of higher modulation in satellite communication, a complete design scheme of a high-order orthogonal modulation model is presented, which includes a Selector, a PLL module, a Simulator module, a Convertor1ToN module, a Test_ROM module, a NCO module, Multi_I and Multi_Q, an Align module and so on. Key technologies are solved, which include coding diagram of constellation mapping, generating of the orthogonal digital sine-cosine carriers, aligning the clock edges of the data, etc. Based on the model, 64 QAM, BPSK and QPSK are implemented and partial test results are given. It is proved that the scheme is valid and practical.
Machine Vision Identification Method and Test of Embankment Loophole and Water Seepage
Authors: Zhang Fengqian , Huang Guorui , Huang Chuang , Zuo Qiangrui , Qiang Sheng
Published: February 2025

Patrolling the embankment is an important measure to protect the embankment and ensure the safety of the people. Based on machine vision and unmanned vehicle technology, this paper develops an intelligent embankment patrol vehicle. The intelligent embankment patrol vehicle mainly judges the surface hidden dangers of the embankment through the perspective of the camera mounted on the unmanned car, so as to replace the work of manual embankment patrol. In view of the common safety hazards such as loopholes and water seepage in the embankment, the visual characteristics of the embankment are analyzed. Then, on the basis of some existing identification methods and procedures, the YOLOv5s network was used as the model of embankment vulnerability and infiltration, and the model was trained on the self-made embankment vulnerability and water seepage image dataset. The trained YOLOv5s network can be used for the actual inspection needs of the embankment. The research results can provide a reference for the development and use of intelligent embankment patrol vehicles, which can liberate labor force to a large extent and improve the efficiency of embankment patrol and the identification rate of hidden dangers.
Research on the Policy Model for the Sustainable Development of China’s Digital Industry – A Rooted Analysis Based on Policy Texts
Authors: Wang Yan
Published: February 2025

The digital economy is the key force driving the sustainable development of the digital industry, and the development and growth of the digital industry cannot be separated from the policy support and innovation drive, and only through the establishment of a scientific and reasonable policy system, can we better utilize the important role of the digital industry. Based on 54 policy documents issued by national and local governments about the sustainable development of China’s digital industry from 2017 to 2023, this paper adopts the policy informatics theory, content analysis method, rooted theory, and NVivo 12.0 software to analyze and quantify the content of the policy texts related to the digital industry. The study found that the text of the digital industry policy continues the internal logic of “goal - foundation - drive - means - guarantee”. The results show that the sustainable development of China’s digital industry should be based on digital infrastructure, the accumulation of data elements as the driving force, the development of digital industrialization, the digital transformation of industries, the digitization of public services, and the international cooperation of the digital economy, and through the digital economy governance system and security system as the guarantee of the sustainable development of the digital industry.
Research on the Competitiveness Evaluation of Pupu Supermarket in the Context of Digitalization
Authors: Nan Nian , Ou Haiying
Published: February 2025

This paper, analyzes the development status as well as competitive advantages and disadvantages of Pupu Supermarket in Wuhan in the context of digitalization. In the empirical research part, the competitiveness evaluation of Pupu supermarket was divided into five first-level indicators. Based on the questionnaire survey, the data were studied by analytic hierarchy process and fuzzy comprehensive evaluation method. Based on the empirical research, combined with the actual development of Pupu supermarket in Wuhan, this paper analyzed consumers’ purchase intentions, and put forward countermeasures and suggestions to enhance competitiveness and increase the attractiveness to consumers.
Research on Synergy Operation of Agriculture Logistics Ecosphere Based on System Dynamics Model
Authors: Hu Yi , Zuo Tengda , Shu Hui , Mi Fei
Published: February 2025

There is a contradiction between extensive agricultural development and sustainable economic development in many countries, so the innovation of agricultural development model has become the mainstream. Agricultural logistics ecosphere (ALE) is a typical model of “integration of primary, secondary and tertiary industries”, which is an important starting point of agricultural production, supply and sales under the background of digital economy. Based on the framework analysis of influencing factors of ALE in this research team, a dynamic simulation model of ALE collaborative system was constructed. Based on the analysis of the causal loop of variables, the research context of sensitivity analysis of three order parameters (information technology level, professional level of service providers and Coefficient agriculture logistics investment) on the demand volume for agricultural products, ecosphere integration ability and ecosphere value was determined. The simulation model running results show that: (1) Due to the influence of causality between variables, the three factor coefficients have strong or weak influence on the observed variables at different stages of 0.2-0.5 and 0.5-0.8; (2) The influence of a single factor change on the observed variables may be delayed, and it is difficult to produce a significant impact in a short time. The results suggest that policy makers should understand the differences in ALE in different development stages, comprehensively consider the proportion of investment in each factor, and finally seek a balance between agricultural production development and economic sustainability. By exploring the relationship between the variables of the agricultural logistics ecosphere, we can help agricultural logistics corporate identity identify the key factors in the collaborative process of each subject, and provide suggestions for the green and sustainable development of agriculture.
Analysis of the Metaverse Potential as a Digital Platform for Business Innovation
Authors: Zlateva Plamena , Petukhov Igor , Steshina Liudmila , Velev Dimiter
Published: February 2025

The Metaverse represents a digital platform that not only changes the way one interacts with the world, but is also a generator of innovation in various business sectors. The Metaverse is emerging as a catalyst for future technological trends, transforming not only digital experiences but also society itself. The paper briefly its key technologies such as virtual and augmented reality, artificial intelligence, blockchain, 5G networks. Based on these technologies, the article seeks to analyze new opportunities for business, economic models, social interactions and insights on how the Metaverse can serve as a platform for continuous innovation, shaping the future of the global economy.
A Review of Research on Digital Regulation of Hazardous Materials Supply Chain Security
Authors: Zhang Xicai , Li Shan
Published: February 2025

With the acceleration of industrialization, the safety of hazardous chemicals (Hazardous Chemicals) in production, storage and transportation is becoming more and more prominent, posing a serious challenge to public safety and environmental protection. The safety management of the hazardous chemicals supply chain is not only related to the sustainable development of enterprises, but also directly affects social stability and the safety of people’s lives and properties. Therefore, it is of great practical significance and strategic value to realize the safety digital supervision of hazardous chemical supply chain. This paper provides theoretical support and practical guidance for the digital regulation of hazardous chemical supply chain safety by reviewing the current research status of hazardous chemical supply chain accidents, digital regulation, and digitalization of hazardous chemical supply chain issues.
A Review of Research on the Impact of Ageing on the Digital Economy and Its Countermeasures
Authors: Liu Jianyang , Song Lifeng
Published: February 2025

With global demographic changes, population ageing has become one of the most important social phenomena of the 21st century, with far-reaching implications for China and the global economic system. This article comprehensively analyses the impact of population ageing on macroeconomics, regional economy and microeconomics, and discusses effective policy response strategies. The article first analyses the current situation and trend of population ageing, then discusses its impact on digital macroeconomics, digital regional economy and digital microeconomics, and finally makes macroeconomic and social security policy recommendations to cope with ageing. The findings of this study underscore the necessity for collective action by governments, businesses, social organisations and individuals alike in order to effectively address the challenges associated with an ageing population. Further research is required to enhance comprehension of the impacts of ageing, particularly in the context of the accelerated development of the digital economy. Additionally, investigation into the effective utilisation of technology to optimise the quality of life and social participation of older individuals is a subject that merits comprehensive examination. This paper advocates for collective action by all societal sectors to construct a comprehensive strategic framework for adapting to an ageing society, with the objective of ensuring sustained and robust economic growth and comprehensive and harmonious social advancement.
The Role of Organizational Culture in Healthcare: A Rapid Review
Authors: Efremov Ljupcho , Dimitrievska Vera , Kallach Layal , Nakhl Sahar
Published: February 2025

The paper examines the concept of organizational culture within the healthcare sector. Inspired by different compelling evidence in management literature, the authors explore the link between the organizational culture in healthcare and different theoretical concepts. The purpose of this paper was to investigate the function of organizational culture in the healthcare industry through a rapid review of the literature in an attempt to determine the links between culture and other concepts within healthcare. The review identified 20 relevant studies, focusing on research directly related to healthcare. The conclusions from the rapid review shed light on the role of organizational culture in healthcare ultimately revealing its importance as a success factor for healthcare organizations. There are three types of studies which examine organizational culture in healthcare: studies related to performance, consequences for employees and studies which describe different cultures. The study suggests that healthcare organizations should focus on understanding organizational culture and its various types and consequences. These aspects are crucial for improving the well-being of both patients and healthcare professionals. By promoting an environment where healthcare professionals feel valued and supported, organizations can enhance patient care outcomes, reduce stress, and improve overall organizational efficiency.
Walk the Talk: Authentic Leadership Through Ethics
Authors: Efremov Ljupcho , Kallach Layal
Published: February 2025

A scoping review examined the connection between authentic leadership and ethics, analyzing 20 studies on how these two concepts are related. The inclusion criteria were limited to studies written in English that investigated the relationship between authentic leadership and ethics. The focus was on English-language literature published between 2003 and 2019. The key terms used were “ethical leadership,” “authentic leadership,” “ethics,” and “authentic”. The analysis focused on the main topics and how authentic leadership and ethics are connected. The topics which appeared were: general link between authentic leadership and ethical behavior, effectiveness of authentic leadership and qualities of authentic leaders. The results show that the relationship between authentic leadership and ethical behavior is complex and intertwined. The study recommends that organizations foster a culture of authenticity, trust, and ethical leadership, implement training programs about ethics and encourage leaders to share their values. On the other hand, the researchers can use the study’s findings for factor analysis and creation of instrument which examines the effects of ethical leadership on organizational outcomes. The end conclusion of the research is evident in the title “walk the talk” which captures the idea of leaders whose moral behaviors are consistent with their promises and values.
Assessing the Impact of Sustainable Practices on Green Supply Chain Management: Study on Organizational Environmental Management
Authors: Bashar Shafiul , Wang Daoping , Rafiq Marwah
Published: February 2025

In the contemporary business environment, the integration of sustainable practices is pivotal for enhancing the environmental performance and operational efficiency of supply chains. This study investigates the influence of Organizational Environmental Management (OEM) on the implementation and effectiveness of Green Supply Chain Management (GSCM). The proposed model identifies four critical sustainable practices Investment Recovery, Sustainable Distribution, Sustainable Design, and Sustainable Procurement and examines their impacts on green supply chain management performance. Using “Partial Least Squares Structural Equation Modeling (PLS-SEM)” software, this research analyzes data from a sample size of 365 individuals. The study posits that sustainable practice significantly contributes to green supply chain management. Additionally, the model evaluates the role of organizational environmental management in fostering these sustainable practices, emphasizing the importance of organizational commitment to environmental management. The study further explores the overarching influence of organizational environmental management on the holistic implementation of “green supply chain management”, proposing a comprehensive approach to embedding sustainability within supply chain operations. The findings offer valuable insights for organizations and supply chain managers seeking to enhance their “green supply chain management” strategies through effective sustainable practices. Through clarifying the links between green supply chain management and organizational environmental management, this study offers a strong foundation for creating more sustainable and effective supply chain operations. This study contributes to the subject of sustainable supply chain management by underlining the crucial role of organizational environmental management in fostering environmental sustainability across the supply chain.
The Impact of Market Green Pressure on Green Performance of Chinese Manufacturing Companies: The Mediating Role of Green Organizational Capability
Authors: Shang Rong
Published: February 2025

In the context of innovation-driven development and green low-carbon development, it has be-come an important research topic to help traditional manufacturing industries cope with green pressure and improve green performance by optimizing organizational capabilities. This study investigates the mediating role of the three dimensions of green organizational capabilities when firms face the impact of market green pressures on green performance, and the technological innovation’s moderating role. The researcher obtained 307 valid data through questionnaires from top managers in manufacturing companies and processed the data using SPSS 26.0 and MPLUS 3.8. The findings suggest that green organizational capability positively mediates market green pressure and corporate green performance; technological innovation plays a positive role as a moderator in the process of the market green pressure to enhance green organizational capability. This research offers valuable insights for the green transformation of manufacturing firms.
Decision-Making and Coordination of Closed-Loop Supply Chains for Power Batteries Considering Recycling Services
Authors: Dang Zhenxing , Fu Deqiang
Published: February 2025

For a closed-loop power battery supply chain composed of a power battery manufacturer and a complete vehicle enterprise, considering that the level of recycling service will affect the demand of the recycling market, this paper analyzes the impact of factors such as recycling cost coefficient on the optimal decision by constructing a centralized and decentralized closed-loop supply chain decision model, and examines the optimal choices within both centralized and decentralized decision-making frameworks. On this basis, a “revenue sharing” contract is designed. Finally, a numerical example is used to investigate and verify. It is found that the increase of recycling service cost will affect the earnings of manufacturers and vehicle companies, and then affect their decisions. The coordination and Pareto improvement of power battery closed-loop supply chain can be achieved by reasonably designing the range of revenue sharing contract parameters.