bluuebunny/crossref_metadata_2025 huggingface dataset:
Savaş Kaynaklı Çevresel Tahribat: Farklı Silah Sistemlerinin Ekolojik Etkileri
Authors: Ergün Fatma , Ergün Demirel
Published: February 2025

Savaş olgusunun etkileri, yalnızca doğrudan insan kayıpları ile sınırlı kalmayıp, çok boyutlu ve katmanlı bir tahribat sürecini ifade etmektedir. Savaşların ekolojik ve sosyoekonomik etkileri, çatışmanın süresine, kullanılan silah sistemlerinin (konvansiyonel, biyolojik, kimyasal veya nükleer) niteliğine, yoğunluğuna ve uygulama biçimlerine bağlı olarak değişkenlik göstermektedir. Savaş dinamikleri, yalnızca doğrudan çatışan tarafları değil, bölgesel ve küresel ölçekte jeopolitik gerilim alanları oluşturarak tüm uluslararası sistemin dengelerini etkilemektedir. Çatışma sonrasında ortaya çıkan çevresel tahribat ve ekonomik yıkım, temel insani ihtiyaçların karşılanmasında ciddi yapısal sorunlara neden olmaktadır. Yoğun çatışma süreçlerinde açığa çıkan hava kirliliği ve sera gazı emisyonları, yalnızca atmosferik sistemleri değil, aynı zamanda biyolojik ekosistemlerin yapısal bütünlüğünü de tehdit etmektedir. Habitat tahribatı, biyoçeşitlilik üzerinde geri dönüşümü olmayan yıkıcı etkiler meydana getirmektedir. Altyapı sistemlerindeki çökme ve su kaynaklarının kirletici unsurlarla kontaminasyonu, çevresel yıkımın derinliğini artıran kritik faktörler olarak öne çıkmaktadır. Bu bağlamda, küresel barış ve ekolojik sürdürülebilirlik açısından birtakım stratejik yaklaşımlar zorunluluk arz etmektedir. Öncelikle uluslararası çatışmaların derhal sonlandırılması gerekmekte olup, toplumlar arası anlaşmazlıkların diplomatik müzakere süreçleriyle çözümlenmesi büyük önem taşımaktadır. Savaşların neden olduğu tahribatın onarımı, yalnızca fiziksel altyapının yeniden inşası ile sınırlı kalmamalı, aynı zamanda toplumsal travmaların iyileştirilmesini, sosyoekonomik sistemlerin yeniden yapılandırılmasını ve psikolojik rehabilitasyon süreçlerini de kapsamalıdır. Bu bağlamda, çok boyutlu ve disiplinler arası bir yaklaşım benimsenmelidir. Bununla birlikte, bozulan ekolojik sistemlerin yeniden inşasına odaklı çevresel restorasyon projelerinin bilimsel ve teknolojik yöntemler kullanılarak uygulamaya konulması da kritik öneme sahiptir. Bu stratejik yaklaşımlar, insanlığın ortak geleceği için vazgeçilmez bir zorunluluk olarak görülmeli ve küresel ölçekte koordineli bir şekilde hayata geçirilmelidir.
Filistin – İsrail Savaşı: Vergisel ve Ekonomik Yaptırımlar
Authors: Turna Fatma
Published: February 2025

1917 yılında yapılan Balfour Deklarasyonu’nu İsrail-Filistin sorununun başlangıç noktasıdır. Bir asırdan fazla Filistin-İsrail meselesi devam etmektedir. Tarih boyunca çözülemeyen tek mülteci sorunudur. Filistin-İsrail arasında birçok savaş gerçekleşmiştir. Ancak 7 Ekim 2023 tarihinde gerçekleşen saldırılar tarihin en kötü zulümlerinden biri olarak karşımıza çıkmaktadır. 7 Ekim'den bu yana Filistin’den ve İsrail'den gelen sahneler dünya çapında milyonlarca insanı rahatsız etmektedir. İsrail’in yoğun saldırıları, kısıtlamaları ve yaptırımları Filistin’i uçurumun eşiğine getirmekte ve mali çöküşle karşı karşıya bırakmaktadır. Batı ülkelerin yaptırım politikaları ise Filistin’in durumunu daha da kötüleştirmektedir. Vergisel ve ekonomik yaptırımlar Filistin Devleti’ni kurumsal ve mali anlamda uçuruma sürüklerken, insani krize yol açan yaptırımlar (açlık, susuzluk, hastalık gibi) Filistin halkının parçalanmasına neden olmaktadır. İsrail, en temel insani ihtiyaçları Filistin halkına karşı savaş silahı olarak kullanmaktadır. İsrail'in Filistin’e uygulamış olduğu soykırım savaşı, tarihin en kötü zulümlerinden biridir. Uygulanan bu yaptırımlar bir yandan Filistin ekonomisinin mali çöküşünü gerçekleştirirken, diğer yandan Filistin halkının yok olmasına neden olmaktadır. Bu kapsamda İsrail’in Filistin’e karşı uyguladığı vergisel ve ekonomik yaptırımlar çalışmamızın ana konusunu oluşturmaktadır. Çalışmada bu yaptırım türleri ayrı ayrı incelenecek ve insani krize yol açan yaptırımlarda dikkate alınarak değerlendirmelerde bulunulacaktır.
Filistin ve Gazze Bağlamında Osmanlı ve Kapitalist İktisat Paradigmalarının Orta Doğu’ya Yansımaları
Authors: Aktürk Oktay
Published: February 2025

Günümüz Ortadoğu’sunu teşkil eden Filistin, Suriye ve diğer devletlerin yaşadığı siyasi ve iktisadi sorunların anlaşılması bu bölgenin tarihsel gelişimini tahlil etmeyi gerektirir. Bölgede yaklaşık 400 yıl hakimiyet kurmuş olan Osmanlı İmparatorluğu ile Batı kapitalizminin dayandığı iktisat paradigmasının anlaşılması yapılacak tahlilin de isabetliliğini arttıracaktır. Bu çalışmada öncelikle Osmanlı ekonomisinin dayandığı iktisat paradigmasının bölgenin iktisadi ve siyasi yapısına yansıması incelenmiştir. Batı kapitalizminin çevre ülkelere yansıması ve sömürgeci anlayışının tahlili de sömürgeci devletlerin19. yüzyıl sonrası Ortadoğu’ya yaklaşımlarının tespiti amacıyla ele alınmıştır. Her iki iktisat paradigması da dış dünyaya yansıyan veçheleri nispetinde yapısal ve iktisadi dünya görüşleri bağlamında değerlendirilmiştir. Çalışmada Batı kapitalizminin diğer ülkelerle ilişkisi bağımlılık teorisi ekseninde incelenirken, çevre ülkelerde nasıl bir tahribat doğurduğu ve bu tarihsel tecrübenin Osmanlı İmparatorluğu’nun zayıflamasıyla biçim değiştirerek Ortadoğu’ya nasıl sirayet ettiği, bugünkü siyasal ve insani dramın arkasında da kapitalist çıkarların yattığı gerçeği ortaya konulmuştur. Bu bağlamda Filistin topraklarında suni bir biçimde kurulan İsrail’in de aslında Batı kapitalizminin sömürgeleştirme tecrübesinin bir yansıması ve Yahudi kökenli uluslararası sermayenin bir koalisyonu olduğu iddiası ileri sürülmektedir. Ortadoğu’nun eski çağlardan beri ticaret yollarının önemli bir kavşak noktası oluşu ve günümüzde başta petrol olmak önemli düzeyde enerji kaynaklarını ve enerji geçiş güzergahlarını barındırması Batılı kapitalistlerin politik tavırlarının belirleyicisi olmuştur. Bu kapitalist zihniyet anlaşılmadan ve aşılmadan Ortadoğu’nun problemlerinin giderilmesi mümkün gözükmemektedir. Çalışmada karşılaştırmalı tarihsel analiz metodu kullanılmıştır.
Combining ability of self-pollinated maize lines of BSSS germplasm in term of grain yield in the conditions of the Northern Steppe of Ukraine
Authors:   State Enterprise Institute of Grain Crops of NAAS, Dziubetsky B. V. , Pazyuk N. V. ,   Research and Production Farm "MAYS COMPANY"
Published: February 2025

Topicality. Development of modern hybrids adapted to different climatic conditions of the Northern Steppe of Ukraine, able to provide high and stable yields, requires expansion of the gene pool of mid-early self-pollinated maize lines of BSSS germplasm. Purpose. The research was aimed at determining the combining ability of self-pollinated lines of BSSS germplasm in relation to grain yield for their further implementation in breeding programmes. Materials and Methods. The combining ability of 25 maize lines was assessed by crossing with unrelated testers of alternative heterotic groups, followed by testing the progeny of the resulting test crosses for two plant densities. The reliability of the results and indicators of trait variability was determined by the mathematical and statistical method. Results. The parameters of combinational ability of the lines for grain yield were determined. The lines were classified into three classes according to the assessment of general combining ability (GCA) effects. The self-pollinated maize lines SDM95-30, SDM15, SDM2A, SDM96, MS2439, SDM73 and SDM84-35 that had high values of combining ability effects for grain yield in both years of research and at different plant densities were identified and recommended for introduction into the further breeding process. Conclusions. Lines SDM15, SDM2A, SDM96, MC2439 and SDM84-35 are recommended for the development of high-yielding hybrids adapted to the conditions of the Northern Steppe of Ukraine in breeding programs.
Key words: maize, general combining ability, self-pollinated lines of maize, grain yield of testcrosses, plant density
Evaluation of drought tolerance in bread winter wheat varieties of foreign selection in the Central Forest-Steppe of Ukraine
Authors:   The V.M. Remeslo Myronivka Institute of Wheat NAAS, Kharchenko M. V. , Yurchenko T. V. ,   The V.M. Remeslo Myronivka Institute of Wheat NAAS, Pykalo S. V. ,   The V.M. Remeslo Myronivka Institute of Wheat NAAS, Vasylyuk V. P. ,   The V.M. Remeslo Myronivka Institute of Wheat NAAS
Published: February 2025

Topicality. Winter wheat is one of the main food crops in Ukraine and the world. The devel-opment of new varieties of bread winter wheat with a complex combination of valuable traits is currently relevant due to the possibility of stabilising the market for environmentally friendly food grains in Ukraine. Purpose. To determine the breeding value of 15 winter bread wheat varieties of different ecological and geographical origin in terms of drought tolerance in the Central Forest-Steppe of Ukraine and to identify the sources of resistance to water scarcity. Materials and Meth-ods. The studies were carried out at the V. M. Remeslo Myronivka Institute of Wheat NAAS of Ukraine. The Podolianka variety was used as the standard. Fifteen bread winter wheat varieties of foreign selection were studied. An index approach was used to study the response of wheat samples to drought. Drought tolerance was assessed in the laboratory by germinating seeds in sucrose solu-tions at an osmotic pressure of 16 atm and determining the intensity of electrolyte release from plant tissues under the impact of the stressor. Results. Over the years of research, meteorological condi-tions have differed significantly in terms of temperature and moisture availability both throughout the growing season and at certain stages of plant development. The yield of the wheat samples var-ied from 2.84 to 4.96 t/ha in a dry year and from 4.54 to 6.72 t/ha in an optimal year. The analysis of the data showed that the average yield in a dry year was 1.53 t/ha less than the optimal level. As-sessment of drought tolerance by the method of seed germination in a sucrose solution revealed that among the tested varieties in 2021/22, three samples were highly tolerant, and the other 12 were medium tolerant. In 2020/21, all wheat samples were classified as medium tolerant. According to the intensity of electrolyte release from plant leaf tissues, all the studied wheat varieties showed high drought tolerance. The wheat varieties NE 06545, Aliya, Altigo, Vitor, MV Lepeny, Bodycek, Fotima were identified as sources of drought tolerance, based on a set of indices and laboratory assessment methods. Conclusions. The selected genotypes will serve as source breeding material for the development of new competitive varieties with valuable practical properties. Our research has made a contribution to the study of both theoretical and practical aspects of wheat drought toler-ance.
Key words: bread winter wheat, variety, yield, drought tolerance, indices, sources of drought tolerance
Pengembangan Media Pembelajaran Pop Up Book Berbasis Kontekstual Materi Bangun Ruang Sisi Datar Pada Pembelajaran Matematika
Authors: Neko Rossa Regeta  , Sayyidatul Karimah
Published: February 2025

Penelitian ini bertujuan untuk mengetahui kevalidan dan kepraktisan media pembelajaran pop up book berbasis kontekstual materi bangun ruang sisi datar pada pembelajaran matematika. Metode yang digunakan pada penelitian ini Research and Development (R&D) dengan menggunakan model pengembangan ADDIE (Analysis, Design, Development, Implementation, dan Evaluation). Instrumen pengumpulan data dalam penelitian ini yaitu : (1) Wawancara, (2) Observasi, (3) Angket. Berdasarkan hasil penelitian media pembelajaran pop up book berbasis kontekstual materi bangun ruang sisi datar kelas VIII SMP yang dikembangkan memenuhi kriteria sangat valid dengan rata-rata skor 4,33. Sedangkan hasil analisis respon peserta didik menunjukkan bahwa media pembelajaran pop up book berbasis kontekstual materi bangun ruang sisi datar kelas VIII SMP memenuhi kriteria sangat praktis dengan rata-rata skor 4,57 yang artinya media ini sangat praktis jika diterapkan dalam proses pembelajaran materi bangun ruang sisi datar.
Analisis Penerapan Culturally Responsive Teaching pada Konsep Bangun Ruang dengan Media Miniatur Rumah Adat Bengkulu
Authors: Susanti Atika , Kurniawati Ike
Published: February 2025

Penelitian ini bertujuan mendeskripsikan penerapan pendekatan Culturally Responsive Teaching dalam perencanaan pembelajaran matematika kelas 5 pada konsep bangun ruang dengan media miniatur rumah adat Bengkulu. Penelitian ini menggunakan pendekatan kualitatif deskriptif dengan instrumen observasi, wawancara, dan dokumentasi. Data dikumpulkan melalui observasi proses perencanaan pembelajaran, wawancara dengan guru, dan analisis dokumen terkait penggunaan media miniatur rumah adat Bengkulu. Keabsahan data dilakukan dengan triangulasi. Hasil penelitian menunjukkan bahwa perencanaan pembelajaran matematika pada konsep bangun ruang di kelas 5 SD Negeri 44 Kota Bengkulu telah mengintegrasikan pendekatan Culturally Responsive Teaching. Modul ajar menggabungkan materi bangun ruang dengan budaya lokal, yaitu rumah adat Bengkulu. Komponen inti modul meliputi tujuan pembelajaran, pemahaman bermakna, pertanyaan pemantik, aktivitas pembelajaran, dan asesmen melalui Lembar Kerja Peserta Didik (LKPD) dan soal evaluasi. Semua elemen ini mencakup prinsip Culturally Responsive Teaching, seperti pemahaman budaya, kolaborasi kelompok, diskusi tentang penerapan konsep budaya dalam matematika, serta kegiatan berpikir kritis dan penerapan konsep matematika dalam kehidupan nyata. Kesimpulan penelitian ini adalah perencanaan pembelajaran yang disusun sudah baik untuk diterapkan di kelas. Disarankan agar guru mengembangkan lebih banyak pembelajaran berbasis budaya lokal untuk memperkuat hubungan antara materi dan kehidupan siswa, serta menunjukkan pentingnya topik dalam mengatasi kesenjangan antara realitas dan harapan pembelajaran.
Systematic Literature Review: Etnomatematika Pada Alat Musik Tradisional Indonesia
Authors: Humairoh  , Arfatin Nurrahmah
Published: February 2025

Penelitian ini bertujuan untuk mengkaji konsep etnomatematika yang terkandung dalam alat musik tradisional Indonesia melalui pendekatan systematic literature review (SLR). Beberapa alat musik yang dianalisis meliputi angklung, gamelan, kendang, dan gong waning. Konsep matematika yang ditemukan mencakup geometri, simetri, dan pola bilangan. Data diperoleh dari berbagai literatur akademik yang dipublikasikan dalam sepuluh tahun terakhir. Hasil penelitian menunjukkan bahwa alat musik tradisional Indonesia memiliki potensi besar sebagai media pembelajaran matematika yang kontekstual dan berbasis budaya. Integrasi etnomatematika dalam pendidikan diharapkan dapat meningkatkan pemahaman siswa terhadap konsep matematika serta melestarikan warisan budaya.
Peran Model Pembelajaran Inquiry Training Model (ITM) dalam Meningkatkan Kemampuan Berpikir Kreatif Matematis Siswa
Authors: Syach Shakilla Annastasya , Dwirahayu Gelar , Putri Finola Marta
Published: February 2025

Penelitian ini bertujuan untuk mengetahui peran model pembelajaran Inquiry Training Model (ITM) untuk meningkatkan kemampuan berpikir kreatif matematis siswa. Penelitian ini dilakukan pada salah satu SMA di kota Bekasi pada siswa kelas X semester ganjil tahun ajaran 2024/2025. Metode penelitian yang digunakan adalah quasi eksperimen dengan desain post test only control group. Instrumen yang digunakan yaitu tes uraian kemampuan berpikir kreatif matematis, indikator kemampuan berpikir kreatif matematis yang digunakan pada penelitian ini yaitu: flexibility, fluency, elaboration, dan originality sampel pada penelitian ini yaitu kelas X.I dan X.II. Hasil penelitian menunjukkan bahwa model pembelajaran inquiry training model dapat meningkatkan kemampuan berpikir kreatif matematis siswa dibandingkan kelas yang diajarkan dengan model pembelajaran konvensional. Serta kecapaian indikator flexibility sebesar 77,9% dengan kategori baik, fluency sebesar 56,4% dengan kategori cukup, elaboration sebesar 71,4% dengan kategori baik, originality sebesar 50% dengan kategori cukup. Kesimpulan pada penelitian ini adalah penerapan model pembelajaran inquiry training model (ITM) berpengaruh dalam meningkatkan kemampuan berpikir kreatif matematis siswa.
Pengembangan E-LKPD dengan Model Case Based Learning untuk Memfasilitasi Kemampuan Berpikir Aljabar
Authors: Sapitri Arini Eka , Musyrifah Eva , Atiqoh Khamida Siti Nur
Published: February 2025

Kemampuan berpikir aljabar sangat penting dikuasPenelitian ini bertujuan mengembangkan e-LKPD dengan Model Case Based Learning untuk memfasilitasi kemampuan berpikir aljabar dengan kualifikasi valid, praktis dan efektif. Penelitian ini menggunakan metode Research and Development dengan model ADDIE yang terdiri atas lima tahapan, yaitu Analyze, Design, Development, Implementation, dan Evaluation. e-LKPD diujicobakan pada kelas XII salah satu SMA swasta di Kota Tangerang Selatan. Hasil penelitian menunjukkan bahwa: (1) Berdasarkan validasi oleh tiga dosen dan lima guru matematika e-LKPD memperoleh kriteria sangat valid berdasarkan pada aspek isi, penyajian, tampilan, bahasa, dan kesesuaian dengan model CBL dengan persentase sebesar 91,11%; (2) e-LKPD mendapat respon positif dari peserta didik dengan skor rata-rata 91,22% sehingga termasuk kriteria sangat praktis. (3) Rata-rata hasil tes kemampuan berpikir aljabar siswa setelah menggunakan e-LKPD mencapai KKM yaitu 81,32 dengan pesersentase ketuntasan sebesar 76% sehingga dinyatakan efektif untuk meningkatkan kemampuan berpikir aljabar. Dengan demikian, e-LKPD layak digunakan sebagai penunjang dalam proses pembelajaran.
Analisis Kebutuhan Pengembangan LKPD Matematika Berbasis Pemecahan Masalah untuk Pembelajaran PLSV Kelas VIII
Authors: Desviani Fitry Rosita , Fatihah Ni'matul , Nabil Aditya Khairun , Hidayah Nurina , Karimah Sayyidatul
Published: February 2025

Penelitian ini bertujuan untuk menganalisis dan mendeskripsikan kebutuhan pengembangan LKPD matematika berbasis problem solving dalam menunjang pembelajaran PLSV kelas VIII MTS Wahid Hasyim Warungasem. Penelitian menggunakan metode Research and Development (R&D) dengan model 4D yang dibatasi pada tahap define (pendefinisian). Pengumpulan data dilakukan melalui wawancara semiterstruktur dan angket terhadap 2 guru matematika dan 10 peserta didik yang dipilih secara random. Hasil analisis menunjukkan bahwa diperlukan LKPD dengan spesifikasi: (1) memuat soal-soal kontekstual yang berhubungan dengan kehidupan sehari-hari, (2) dilengkapi ilustrasi, gambar, dan tabel untuk mempermudah pemahaman konsep PLSV, (3) menyediakan langkah-langkah penyelesaian yang jelas dan sistematis, (4) memuat soal-soal yang bertingkat dari mudah ke sulit, (5) memiliki desain yang menarik dengan tata letak sederhana, dan (6) menyediakan ruang yang cukup untuk menuliskan jawaban. Kesimpulannya, pengembangan LKPD berbasis problem solving yang sesuai dengan kebutuhan peserta didik diharapkan dapat meningkatkan keterlibatan siswa, pemahaman konsep, dan kemampuan pemecahan masalah matematis pada materi PLSV.
Pengaruh Pembelajaran Berkelanjutan dan Profesionalesme terhadap Kinerja Guru SD Negeri di Kecamatan Ciomas
Authors: Zahra Syarifah Zahrah , Matin  , Heru Santosa
Published: February 2025

Kinerja diartikan sebagai tingkat pencapaian dan efektivitas guru dalam melaksanakan tugas pengajaran dan pembelajaran di kelas. Kinerja ini mencakup berbagai aspek, seperti kemampuan guru dalam merencanakan, melaksanakan, dan mengevaluasi proses pembelajaran, serta interaksi yang dilakukan dengan siswa. Penelitian ini bertujuan untuk menganalisis factor yang dapat mempengaruhi kinerja guru. Pendekatan penelitian yang digunakan yaitu kuantitatif, populasi guru sekolah dasar negeri di kecamatan Ciomas dengan sempel 101 guru. Teknik analisis data menggunakan statistik deskriptif, yakni teknik korelasi regresi berganda Product Moment Pearson yang dilanjutkan dengan uji t, Intrumen yang digunakan berupa angket. Hasil penelitian yaitu terdapat pengaruh positif dengan nilai regresi Y = 18,452 + 0,546 + 0,451 dan koefisien korelasi antara pembelajaran berkelanjutan terhadap kinerja guru 0.654 dengan R square sebesar 0. 427 dalam artian memiliki pengaruh 42,7%, koefisien korelasi antara profesionalisme terhadap kinerja guru 0.649 dengan R square sebesar 0. 421 dalam artian memiliki pengaruh 42,7%, koefisien korelasi antara pembelajaran berkelanjutan terhadap profesionalisme 0.818 dengan nilai R square sebesar 0. 669 dalam artian memiliki pengaruh 66,9% koefisien determinasi memiliki nilai R square sebesar 0,469 dalam arti arti bahwa pengaruh variabel pembelajaran berkalanjutan (X1) dan Profesionalisme (X2) secara simultan terhadap kinerja guru (Y) sebesar 46,9%.
Adaptive Differentially Private Robust Federated Learning Against Backdoor Attacks
Authors: Yao Ruixiang , Wen Hong , Hou Wenjing , Ma Wendi , Sun Fan , Zhao Ziang
Published: February 2025

In federated learning systems, malicious attackers can manipulate training datasets by injecting backdoor triggers to achieve data poisoning. Addressing this vulnerability, this paper proposes a new defense method, the adaptive differential privacy stochastic gradient descent (ADP-SGD) algorithm, which increases the Euclidean distance between malicious and benign updates to enhance aggregation efficiency. Experiments were conducted on typical datasets, and the results show that combining ADP-SGD with the m-Krum aggregation algorithm can effectively defend against backdoor attacks in complex attack environments. While ensuring the accuracy of the main task, it significantly reduces the success rate of backdoor attacks, especially under the condition of unknown proportions of malicious participants, proving to be effective and robust.
Research on Public Opinion of Product Quality and Safety Information Based on Crawler Retrieval Technology
Authors: Lu Yuwei
Published: February 2025

This study, from the perspective of online public opinion, uses web crawler retrieval technology and manual screening, and adopts targeted collection and information extraction from online public opinion monitoring platforms to sort out websites directly related to product quality. It monitors, analyzes, and summarizes product quality and safety information from 31 provinces in China, points out existing problems, and proposes corresponding countermeasures and suggestions. The monitoring results show that in 2023, public opinion information on product quality and safety is mostly concentrated in the eastern region, as well as product categories such as electrical appliances, automobiles, and daily chemical products. Quality and safety issues are currently the focus of social attention on people’s livelihoods. Therefore, relevant regulatory authorities should further strengthen product quality and safety supervision, crack down severely on quality violations, improve product quality and safety levels, prevent product quality incidents, and effectively safeguard the declaration and property safety of the people.
Simulation and Experimentation on Waste Heat Utilization of Stirling Engine
Authors: Xie Yi , Zheng Liming
Published: February 2025

This paper focuses on the utilization of waste heat from Stirling engines. Simulation calculations were performed using Aspen exchanger design and rating (Aspen EDR) software. Based on the results, a simulated air purification device utilizing Stirling engine waste heat was designed. The experimental results demonstrate that the temperature of the cabin air at the outlet of the heat exchanger meets the operating conditions of the catalytic device. At this point, the heat required to warm the cabin air accounts for 45.6% of the available waste heat from the engine.
Exploring the Construction of an Evaluation System for Elderly Care Scenarios in Zhejiang’s Future Communities Based on the Interpretive Structural Modeling
Authors: Wu Yang , Zhang Ruiqiu
Published: February 2025

By the end of the 14th Five-Year Plan, China will have entered a moderately aging society. The rapid aging process has brought about real issues such as “empty-nest elderly,” “aging before becoming affluent,” and “uneven distribution of elderly care resources.” Building a diversified elderly care service system has become a key solution to these challenges. Zhejiang Province, in response to the planning requirements, has proposed the construction standards for “Future Communities,” effectively integrating, supplementing, consolidating, ssand developing the features of home-based, community-based, and institutional elderly care. This project aims to explore the construction of an evaluation system for elderly care scenarios in Zhejiang’s Future Communities based on the Interpretive Structural Modeling (ISM) approach. Through this model, we will analyze and stratify the various influencing factors of elderly care scenarios in Future Communities in Zhejiang.
Peephole Optimization Strategies for Intermediate Code in the Compilation Process
Authors: Guan Yunxin , Yun Jing , Sun Pengfei , Su Xiaoming
Published: February 2025

In the design of modern compilers, the generation and optimization of intermediate code play a crucial role. Serving as a bridge between source code and target machine code, intermediate code provides ample opportunities for optimization. This paper focuses on porthole optimization techniques, proposing a new optimization strategy aimed at reducing unnecessary computations and memory accesses by analyzing control and data flows within intermediate code, thereby enhancing program execution efficiency. We first outline the various stages of the compilation process, followed by a detailed exploration of the basic principles and implementation methods of porthole optimization. Finally, we validate the effectiveness and advantages of this optimization strategy through experiments. The experimental results indicate significant improvements in the execution performance of intermediate code after the adoption of porthole optimization, providing new insights and directions for compiler optimization.
Performance Analysis of K-Means and Fuzzy C-Means (FCM) Clustering Algorithms for Diabetic Dataset
Authors: Velmurugan Thambusamy , Emayavaramban K.
Published: February 2025

In the contemporary era, with its incidence rising at an alarming rate, diabetes has become a major global health concern. This work presents a data mining approach that compares the K-Means and Fuzzy C-Means (FCM) clustering algorithms to answer the increasing demand for accurate diabetes management and prediction in a wide range of datasets. As data mining is essential for drawing insightful conclusions from large, complicated datasets, the study concentrates on using these methods to improve the precision and effectiveness of diabetes prediction models. The diabetes dataset is divided into separate clusters using FCM and K-Means after preprocessing steps to manage missing values and outliers. Algorithms often define the clustering process’s conclusion and the effectiveness of its domain application. Two significant clustering algorithms centroid-based K-Means and representative object-based FCM (Fuzzy C-Means) clustering algorithms are compared in this research work. These techniques are used, and the effectiveness of the output clustering is to assess performance. The evaluation metrics accuracy, sensitivity, specificity, and AUC-ROC highlight the model’s superior performance over individual clustering techniques. This work addresses the urgent problem of diabetes currently, which advances the field of diabetes prediction and highlights the crucial role of data mining, which plays in healthcare analytics over early detection and intervention.
The Improved Differential Evolution Algorithm for Optimizing the Wind Turbines Initial Design
Authors: Xu Xiaohui , Liu Yang
Published: February 2025

The design process for wind turbines is complex. Each stage faces different environmental risks. The design of wind turbines needs to adopt the approach of optimal design from the perspective of the whole life cycle. According to the characteristics of the whole life cycle design network model of wind turbine products, a deep optimization search algorithm integrated with pruning strategy was proposed. By traversing the design nodes in the design network model, the initial design is generated. A gene coding method based on adjacency real number matrix was established to complete the coding of individual design schemes. Finally, with the goal of minimizing the environmental impact value of the design and the constraints of the scene environment, the differential evolution algorithm was used to complete the optimization of the design scheme. Two design schemes of wind turbines with less environmental impact were obtained, and the design schemes were qualitatively analyzed.
Fast-Clustering Method for X-Band Radar Point Cloud Data
Authors: Chen Kang , Wang Jingang , Li Songbin
Published: February 2025

X-band pulse-compression radar, as a leading front-end sensing device, plays an important role in maritime surveillance. For the detection of targets within X-band radar point cloud data, clustering algorithms are typically employed for target extension before detection. However, traditional clustering algorithms generally exhibit low performance when processing X-band radar point cloud data in practical applications. In this letter, we propose a clustering algorithm capable of rapidly partitioning X-band radar point cloud data. First, we employ a Pre-sampling method to reduce the time complexity of the algorithm, and then utilize adaptive thresholds and breakpoint check to enhance the accuracy of the algorithm. To validate the effectiveness of the proposed algorithm, we deployed X-band pulse compression radar on the coast of Hainan, China, and collected a substantial amount of measured data. Experimental results demonstrate that our method outperforms traditional clustering algorithms in processing X-band radar point cloud data, achieving an ACC of 96.27% and an NMI of 98.17% in much less time.
Interactive Region Prediction Network Based on Hand Privileged Information
Authors: Xin Jianjia , Jiang Yifei , Zhang Zhaoyong , Chen Zhaoliang , liu Yan , Zhao Shaoxiang
Published: February 2025

Predicting interaction regions is crucial in understanding embodied intelligence and guiding robot interactions. However, real-world interactions are often complicated by varying background information, which can decrease the accuracy of existing methods. To address this challenge and improve prediction accuracy, this paper proposes the Interactive Region Prediction Network based on Privileged Information (IRP-Net). By privileged information, IRP-Net extracts key frames from interaction videos and emphasizes pixels within the actual interaction regions involving human hands and objects. Experiment results demonstrate that IRP-Net outperforms existing methods on publicly available datasets, showcasing its effectiveness in handling complex real-world interactions.
Research and Application of Distribution Network’s Real-Time Line-Transformer Relationship Analysis Method Based on Switch Segment
Authors: Huang Shanshan , Jiang Houming , Chen Xingming
Published: February 2025

This paper presents an innovative real-time line-transformer relationship analysis method for distribution networks, which is based on real-time monitoring and analysis of switch segments. The aim is to overcome the limitations of traditional line-transformer relationship analysis methods in terms of accuracy, real-time performance and flexibility. This method includes six modules: real-time switch quantity acquisition and switch position identification, power and voltage data monitoring of switch segments, real-time analysis and update of line-transformer relationships, user grouping and updating, anomaly detection and alarm modules, system integration and application. By real-time tracking of changes in switch states in the distribution network and combining the response data of switch segments after switching, the line-transformer relationship can be accurately inferred and updated. Applying this method to the line loss calculation business of the grid resource business middle platform system, targeted experiments were conducted based on a designed typical distribution network and divided switch segments. The data shows that this method significantly reduces the packaging rate, makes line loss calculation more accurate and efficient and better meets business needs.
Current Anomaly Detection and Fault Prediction in Power Systems Based on Deep Learning
Authors: Zhang Xiao , Zhang Yiyan
Published: February 2025

To enhance the accuracy of current anomaly detection and fault prediction in power systems, a CNN-LSTM hybrid model based on deep learning is proposed. By combining Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks, the model effectively extracts spatiotemporal features and captures long-term temporal dependencies. A temporal attention mechanism is introduced to improve the model’s ability to perceive critical temporal sequences, while an adaptive threshold setting algorithm is designed to accommodate the dynamic changes of the power grid. Experimental results demonstrate that the proposed method exhibits excellent performance in anomaly detection and fault prediction, significantly improving accuracy and robustness compared to traditional methods, and showing promising application prospects. Analysis indicates that the model effectively addresses the challenges of current anomaly detection and demonstrates high stability in multi-step fault prediction.
Application Research of Cloud Computing and Intelligent Manufacturing in Anti-Tumor Responsive Drug Carriers
Authors: Huang Zhixian , Zhao Yunchun
Published: February 2025

In order to improve the precise delivery of anti-tumor drugs, intelligent manufacturing and cloud computing technologies are adopted to design and optimize responsive drug carriers. Through the specific response of the tumor microenvironment (acidity, temperature, enzymes, etc.), controlled release and targeted delivery of drugs are achieved. The results showed that the pH responsive carrier achieved a drug release rate of 85% in acidic tumor environments, while the intracellular drug release of the enzyme responsive carrier was 65 μ g/mg. PEGylation modification effectively prolonged the in vivo circulation time of the carrier, and combined with combination therapy, the tumor inhibition rate could be increased to 90%.
Application of NLP Algorithms in Compliance Management
Authors: Qiu Xiaorong
Published: February 2025

To address the challenges posed by complex regulations and policies in compliance management, Natural Language Processing (NLP) algorithms are employed to enhance the efficiency and accuracy of text analysis. Utilizing BERT and Transformer as core models, these systems automatically generate compliance documents, categorize compliance-related texts, and dynamically monitor user behavior, significantly improving compliance detection and risk assessment. Data shows that text classification based on BERT achieved an accuracy of 93.4%, and the efficiency of automatic compliance document generation is 150 times higher compared to manual writing, with user satisfaction for automated compliance review maintaining above 85%. Analysis suggests that the application of NLP technology in compliance management can significantly reduce compliance costs and enhance risk alert capabilities.
Design of a Low-Profile Directional Time-Domain Bow-Tie Antenna
Authors: Yang Mingchuan , Yang Wei
Published: February 2025

Aiming at the problem of large profile of commonly used time-domain end-fire antennas, this paper designs a low-profile directional bow-tie antenna in the time domain by using the method of adding a reflector. The method of making an omnidirectional antenna directional in the time domain is described in detail. The method is applicable to all omnidirectional antennas. Defining the time-domain directivity as the ratio of the antenna forward-radiating pulse amplitude to the backward-radiating pulse amplitude, the directional butterfly antenna has a time-domain directivity of 3.22, which is greatly improved compared to the conventional bow-tie antenna.
The Design and Implementation of a Secure Time Distribution System Based on Blockchain Oracle
Authors: Hong Jianlei , Zhao Jindong , Zhang Xuedong , Sun Yukai , Qiu Xuqiang
Published: February 2025

With the proliferation of e-government, e-commerce, and other applications, the demand for secure and accurate time information services has become more and more urgent in various industries. The traditional time distribution service has some risks regarding the security of time information. To cope with this demand, a secure time distribution system based on blockchain oracle is designed and implemented to provide secure and trustworthy time distribution services for internet applications. In the system, the oracle mechanism is used to introduce external time source data into the blockchain to ensure that the time information is accurate and traceable, and the time saved in the blockchain is distributed to the clients through the time synchronization protocol. To address the time delay problem introduced by software operation, a software delay smoothing algorithm is designed to smooth and optimize fluctuating and uncontrollable software delays. The experimental results show that the software delay smoothing algorithm has a smoothing effect of 72.7% on software delays, and the systematic error caused by software delay in this system is 718.0 μs ,and the accuracy of the timestamps distributed to clients reaches the microsecond level. Compared with traditional methods, the secure time distribution system based on blockchain oracles significantly improves the accuracy of blockchain timestamps, and utilizes the decentralized and tamper-proof characteristics of blockchain to add a “traceable” feature to each timestamp, which can provide trustworthy time services for financial transactions, e-government affairs, and other key areas.
Research on Smart Leisure Venue Management Systems Driven by the Internet of Things
Authors: Zhang Lu
Published: February 2025

The rapid development of Internet of Things (IoT) technology has provided new opportunities for constructing smart leisure venue management systems. This paper proposes an IoT-based intelligent leisure venue management system, employing a layered architectural design that includes data acquisition, data analysis, intelligent decision-making, and application service layers. The data acquisition layer collects environmental and user behavior data through distributed sensor networks and RFID technology. The data analysis layer utilizes big data processing techniques to achieve real-time data fusion and cleansing. The intelligent decision-making layer optimizes venue operations using reinforcement learning algorithms, while the application service layer offers personalized services and visual interfaces to users and managers. Experimental results demonstrate that the system excels in data acquisition accuracy, real-time processing capability, visitor flow prediction accuracy, and energy consumption optimization, effectively enhancing venue operational efficiency and user satisfaction. The conclusion highlights that the system has room for improvement in handling peak period visitor statistics. Future work will focus on optimizing algorithms and enhancing system scalability to further improve overall performance.
Enhancing Dry Eye Disease Detection Through the Application of an Ophthalmic Knowledge Graph
Authors: Cui Jiazheng , Lin Zhiyuan , Liu Haoyang , Liu Yunxiao , Wang Mini Han
Published: February 2025

Dry eye disease is a multifactorial condition that significantly impacts the quality of life for millions worldwide. Accurate diagnosis and treatment are often challenging due to the complex interplay of symptoms, risk factors, and underlying causes. This study presents an innovative approach to enhance dry eye detection through the development of an ophthalmic knowledge graph. By curating and organizing data from peer-reviewed literature, the knowledge graph captures key entities such as symptoms, treatments, and diagnostic methods, and systematically maps their relationships. The study employs natural language processing (NLP) and deep learning techniques to extract entities and relationships, which are then integrated into the knowledge graph using the Neo4j platform. This structured representation provides clinicians with an intuitive and comprehensive tool for improving diagnostic accuracy and developing personalized treatment strategies. The knowledge graph not only strengthens the connections between diverse clinical data but also facilitates the integration of AI-driven diagnostic methods. This research demonstrates the potential of knowledge graphs in advancing the field of ophthalmology, specifically in the diagnosis and management of dry eye disease.
How to Promote the Coordinated Development of Beijing, Tianjin and Hebei Under the Background of Digitalization?
Authors: Yan Xiaoming , Xia Hailong , Zhang Xicai
Published: February 2025

The digitalization of the economy has promoted the further transformation of regional coordinated development. In 2014, the coordinated development of the Beijing-Tianjin-Hebei region became a major strategy of China. It is the core strategy to ease the capital’s non-core functions. Beijing in the wholesale market, regional logistics base as the main content of management has made great progress and a variety of non-core functions of ease is an important indicator of logistics related changes since 2014. Based on the improved gravity model of logistics, we through the comprehensive quality and logistics radiation range of each city in the region of Beijing Tianjin Hebei, the overall spatial layout of Economic Zone regional center city logistics spatial contact occurred in 2018-2022 years. We found that the non-core functions of the capital reduced the freight and traffic burden in Beijing and the volume of logistics connections decreased from 4.54 to 4.39 in 2018. The main logistics of Beijing are Langfang, Tianjin, Shijiazhuang and Tangshan. the degree of connection with Langfang increased by 0.5, with Tianjin increasing by 0.14, and the connection with Shijiazhuang increased by 0.05, and the logistic connection with Tangshan increased by 0.11 from 2021 and 2022. Comparatively speaking, the degree of logistics connection between Beijing and other cities has declined. The problems of uneven logistics linkage in each city are prominent, and the logistics function of Baoding and Zhangjiakou is relatively weak, showing the phenomenon of logistics development, fracture and collapse, and being marginalized in the logistics development of Beijing Tianjin Hebei Economic zone. Accordingly, we put forward policy recommendations to promote the integration of logistics development in Beijing Tianjin Hebei Economic zone under the background of digitalization.
Research on the Influencing Factors of Low-Carbon Cold Chain of Agricultural Products in Guangxi Under Digital Empowerment
Authors: Chen Jiaxin , Li Mei , Pang Xiangping , Wang Hao , Wei Huanwen
Published: February 2025

In order to effectively help enterprises identify the digital influencing factors of low-carbon cold chain of agricultural products in Guangxi and accelerate the realization of low-carbonization of agricultural products cold chain enterprises, this paper constructs an evaluation index system of low-carbon cold chain of agricultural products in Guangxi under digital empowerment. Based on the data of cold chain energy of agricultural products in 11 cities of Guangxi from 2013 to 2022, the carbon emissions of cold chain of agricultural products in different cities were calculated. The results show that the consumption of cold chain energy of agricultural products in Guangxi is increasing in general from 2013 to 2022. Subsequently, the correlation analysis between the panel data of agricultural product cold chain carbon emissions and the panel data of digital factors in 11 cities in Guangxi was carried out. The results showed that the highest correlation was the degree of digital investment, and the lowest was the level of employee digitization. However, the correlation degree of all digital factors is higher than 0.6, which proves that digital factors have a high correlation with the low-carbon cold chain of agricultural products in Guangxi. This study provides a reference for how to realize low carbon in the cold chain of agricultural products in Guangxi by means of digitization.
Evaluating the Manufacturing Enterprises’ Digitalization: From the Organization-Environment Nexus Perspective
Authors: Liu Xiaoyan , Chang Tianxin , Shan Xiaohong
Published: February 2025

With the growth of Data Science, digital transformation has become an essential path to sustainable development in the manufacturing industry. In order to help the government make a more effective and accurate assessment of the current state of digital transformation in the manufacturing sector, we construct a measurement system for corporate digital transformation by integrating internal and external perspectives. The internal organization’s focus is measured through annual reports, MD&A texts, customer and supplier state, and intangible assets, while the external environment’s focus is measured through analyst reports, news reports, and investor Q&A texts. We conduct an empirical analysis of 175 listed manufacturing companies in the Beijing-Tianjin-Hebei region, with results indicating: (1) The digital transformation measurement method that integrates internal and external concerns can compensate for the insufficiency of a single perspective on digital measurement, effectively capturing the interaction between internal organizations and the external environment to achieve a comprehensive assessment of digitalization. (2) The region’s overall level of digital transformation is relatively good, suggesting that digital transformation has shifted from an externally environmental-driven model to an internally organizational-driven one.
Research on the Impact of Digital Transformation on Dual Innovation in Enterprises
Authors: Zan Hongnian , Song Wenhao
Published: February 2025

As the 20th report urges accelerating “digital China”, “manufacturing power” and “network power”, enterprises grasp digital transformation’s significance for competitive advantage. This paper studies its impact on radical and incremental innovation in China’s high-end manufacturing, using 2014–2022 A-share data. Results show positive effects mediated by knowledge absorption capability. The research enriches theory and offers insights for enterprises.
Competency Model Construction for Middle Managers in Chinese University-Affiliated Hospitals in the Digital Economy Era
Authors: Li Li , Li Huafeng , He Liping
Published: February 2025

The digital economy has penetrated various fields of the social economy, including the healthcare industry, and the high-quality development of hospitals requires high-quality middle-level managers. Most middle-level managers in Chinese university affiliated hospitals come from medical technology backbones, and the phenomenon of “double shoulders” is common. They are tired of coping and lack professional knowledge in management. Constructing a scientific competency model for middle-level managers in Chinese university affiliated hospitals is not only a reference for cultivating middle-level managers in Chinese university affiliated hospitals, but also of great significance for improving the quality of middle-level managers in Chinese university affiliated hospitals. The article extracts the competence qualities of middle-level managers in Chinese university affiliated hospitals through literature analysis and grounded theory and uses fuzzy analytic hierarchy process to determine the weights of various elements of competence, constructing a competence model for middle-level managers. The results show that the competency qualities of middle-level managers in Chinese university affiliated hospitals can be summarized into 26 competency qualities, including five dimensions: digital technology ability, hospital decision-making ability, hospital management ability, personal characteristics, and knowledge learning ability. Among them, hospital management ability and decision-making ability are the most important dimensions.