bluuebunny/crossref_metadata_2025 huggingface dataset:
Digital Technology-Driven Music Teaching Model Innovation and Students’ Artistic Literacy Enhancement
Authors: Yao Yao , An Xue
Published: February 2024

This study examines the use of digital technologies in music teaching, focusing on the combination of musical feature extraction, attention mechanisms, and convolutional neural networks, and the potential impact of these technologies on improving students’ artistic literacy. The study explores digital technology-driven innovations in music teaching models and their impact on improving students’ artistic literacy. The study preprocesses musical features and uses Mel’s inverted spectral coefficients to extract key audio features. The feature extraction process is further optimized by introducing the attention mechanism and convolutional neural network to ensure the effectiveness and relevance of the music teaching content. On this basis, a music teaching aid platform is designed, which concentrates on resource sharing, openness and professionalism. Through questionnaire surveys and empirical analysis, this study conducted an in-depth analysis of the platform’s willingness to use, online learning behavior, and system performance. The results show that relative advantage, perceived quality and perceived usefulness are the main factors affecting the willingness to use. Meanwhile, there are significant differences in task participation behavior among students of different genders. The system performance test shows that the platform can effectively support multi-user concurrent operation and meet music teaching needs. To summarize, the study proves the potential of digital technology in enhancing the effectiveness of music teaching and students’ artistic literacy. It provides a valuable reference for the future application of educational technology.
Effective Application of Information Technology in Physical Education Teaching in the Era of Big Data
Authors: Chen Jun
Published: February 2024

With the development of modern information technology and the promotion of “Internet + education”, the intelligentization of physical education has become an inevitable trend for future growth. To improve the teaching quality of physical education and students’ physical quality, this paper proposes Openpose bone tracking technology to identify and standardize the training movements in the physical education classroom, to ensure the adequacy of students’ activities and improve the teaching efficiency of the physical education classroom. In addition, this paper also proposes a depth-separated convolutional algorithm to optimize the bone tracking technology and enhance the accuracy of the system’s action recognition. After experimental Analysis, the matching degree of this system with the sports classroom reaches more than 75%. It plays a specific role in improving stage-specific sports scores, and nearly 10 points of scores improve the sports scores of the introduction of Openpose compared with the unused ones. It can be seen that Openpose bone tracking technology based on the depth-separated convolution algorithm can improve the teaching efficiency of the physical education classroom and standardize students’ training movements.
Optimization strategy of cross-border e-commerce supply chain network based on machine learning
Authors: Chen Yali , Zheng Xiang
Published: February 2024

The rapid development of cross-border e-commerce increases the complexity of supply chain management, and machine learning-based supply chain network optimization strategies are essential for improving efficiency and reducing costs. The study first analyzes the cross-border supply chain network topology and determines the multilayer network structure. Subsequently, an optimization model based on particle swarm algorithm (PSO) is proposed, including the mathematical model of the algorithm and improvement measures. The practical effect of the optimization strategy was verified through example analysis. It is found that the supply chain optimized with particle swarm algorithm has significant Improvement in terms of shipping accuracy, surface transportation ratio, and unit transportation cost. For example, the shipping accuracy of product A in 2022 increased to 95.3% compared to 2021, the proportion of surface transportation increased to 96.5%, and the unit transportation cost decreased by RMB 2.175 per kilogram. This study shows that the particle swarm algorithm can effectively optimize the cross-border e-commerce supply chain network, which is significant in achieving efficient supply chain management.
Spatial Evolution of Chinese Enterprises’ Cross-border Trade Products in the Context of International Cooperation along the Belt and Road
Authors: Deng Xiaoyue
Published: February 2024

Based on the dynamic evolution of comparative advantage and product life cycle, this paper determines the measurement index for the spatial evolution of cross-border trade products of Chinese enterprises in the context of international cooperation along the Belt and Road, which mainly consists of the explicit comparative advantage index, proximity, the ability distance of products, and the opportunity return of products. Based on determining the measurement indexes of product spatial evolution in cross-border trade, we construct a product spatial structure evolution model based on product jumping decision and analyze the example of product spatial evolution in cross-border trade of enterprises. The results show that the proximity of food and activities (SITC0) to beverages and tobacco and alcohol (SITC1) is 0.528, to non-edible raw materials (SITC2) is 0.605, to manufactured products by natural materials (SITC6) is 0.536, and to miscellaneous products (SITC8) is 0.633. Compared to the other major products, the proximity of food and activities (SITC0) has the most excellent proximity, i.e., the smallest distance and the highest similarity, to these four product categories. This study investigates the relationship between spatial and dynamic comparative advantage of products and the development law in the context of the “Belt and Road”, to promote the better utilization of comparative advantage of the countries along the route.
Innovative Exploration of Ideological and Political Education Teaching in Colleges and Universities under the Perspective of Cultural Confidence
Authors: Duan Zhaohui
Published: February 2024

This study explores the innovative path of ideological and political education in colleges and universities under the perspective of cultural self-confidence, and enhances the cultural self-confidence of college students, which is of great significance in improving the quality of national education and promoting national rejuvenation. The digital empowerment of teaching resources and efficient management algorithms significantly improve the efficiency of resource acquisition and application. The average score of teachers in accessing the resources of the Civics and Political Science course increased to 0.7182, indicating the effect of optimization of teaching resources. Meanwhile, the teacher team was optimized through rotation and exchange and professional training, and the proportion of teacher exchange and rotation increased to 18.22% in 2023, reflecting the rationalization of the teacher team structure. Students’ attitudes toward Civics and Politics reading differ significantly among different grades, with the best performance of juniors, with an average score of 4.53. In addition, creating a cultural atmosphere promotes students’ cultural self-confidence by increasing cooperation with all sectors of the society and building an influential “trinity” community of responsibility. The innovative strategy of Civic and Political Education in the perspective of cultural self-confidence has achieved remarkable results in improving the quality of education, optimizing the teaching staff’s structure and enhancing students’ cultural self-confidence.
Analysis of the potential relationship between linguistic logical coherence ability and English writing level
Authors: Fang Huijia
Published: February 2024

This paper investigates the relationship between linguistic logical coherence ability and English writing level. By analyzing the English writing samples of 120 students, it was found that the high level students had a significantly more heightened awareness of the importance of writing, writing ideas and skills than the middle and low level students, with a mean score of 3.5. Regarding logical coherence, the means of the three level groups were 398.456, 388.874, and 369.596 respectively, showing that the high level group performed better. It was further found through multiple linear regression analysis that logical coherence skill significantly affects English writing. Specifically, logical connectivity, identification, and matching skills contribute the most to improving English writing. The study results suggest that training linguistic analytical coherence skills, especially in logical connection and identification, is essential for improving students’ English writing level.
The Value and Significance of Design Aesthetics Education in the Information Age
Authors: Gao Ximei , Wang Yuhwa
Published: February 2024

This study focuses on the innovative teaching mode of design aesthetics education in the information age, and builds a flipped classroom and blended teaching mode of design aesthetics based on MOOC+SPOC platform. The study points out that traditional design aesthetics education needs to integrate modern technology to enhance students’ aesthetic ability and innovation literacy. By conducting teaching experiments in 10 colleges and universities, the results show that students using the blended teaching mode significantly outperform the traditional teaching mode in terms of design aesthetics performance, interest and cognitive learning effects. The study also proposes a personalized recommendation method to effectively promote students’ in-depth learning of design aesthetics. The conclusion emphasizes that design aesthetics education in the information age should focus on technology integration and teaching mode innovation to improve the teaching effect and cultivate design aesthetics talents adapted to the development of the times.
Practical Analysis of Digital Technology in Physical Education and Training in the Context of Multimedia Era
Authors: He Jie , Chen Shihong
Published: February 2024

In the multimedia era, the application of digital technology in physical education and training is becoming increasingly important. This paper analyzes how digital technology can improve biological education teaching effectiveness and students’ motivation and independent learning ability. The research methodology uses digital physical education teaching and curriculum integration, motion retrieval technology, and motion editing and scoring technology. It is found that the physical education teaching mode using digital technology is significantly better than the traditional method, in which the advantage of the class using digital technology in the mastery of physical education skills is obvious. The Analysis of final grades shows that the number of experimental courses with more than 90 points is three times as many as that of the control class. The average grade, learning motivation, and independent learning ability are higher than in traditional teaching. The specific data show that the mean value of understanding motivation in the experimental class is 26.47, and that in the control class is 24.87 (P=0.0031), which shows that the digital technology significantly improves students’ motivation to learn. The application of digital technology in physical education can dramatically improve the teaching effect, enhance students’ learning motivation and independent learning ability, an important development direction of modern physical education.
Construction of Evaluation System for English Translation Teaching in Colleges and Universities under Cross-cultural Perspective
Authors: He Tong
Published: February 2024

The construction of the evaluation system of English translation teaching in colleges and universities under the cross-cultural perspective to improve the quality of translation education. The focus is on integrating the LMBP neural network algorithm and quantitative judgment indexes to provide an adequate evaluation model for English translation teaching. The study adopts the neural network algorithm based on LMBP, combined with the quantitative processing methods of “AHP+DEA” and “Entropy Assignment Method+Euclidean Distance Method”, to systematically construct and empirically analyze the evaluation indexes of teaching. It is found that teaching construction, application and effect are the core indicators of evaluation. Regarding teaching construction, classroom content integrity (correlation coefficient 0.428) and learning resources integrity (correlation coefficient 0.439) are the key factors. Teaching application analysis showed that hybrid teaching positively correlated with student achievement (r=0.569). Conducting effectiveness analysis showed that student discussion and in-class performance were significantly and positively correlated with teaching evaluation (p<0.005). These results prove the effectiveness and usefulness of the constructed evaluation system.
Research on the Construction of Content and Service System of “Intelligent Fitness Station” in the Post-epidemic Era
Authors: Hu Rongrong , Hu Bin
Published: February 2024

In the post epidemic era, the construction of intelligent fitness post and sports service system has become a meaningful way to improve residents’ physical fitness and health, and this study aims to explore practical strategies in this field. A fitness station model combining medicine is adopted, and big data technology is utilized to realize real-time monitoring of physiological data and screening of health hazards for fitness groups. Meanwhile, a framework of urban brilliant sports service system is proposed to ensure the integrity and coordination of the service system. The study also used the fuzzy comprehensive evaluation and factor analysis models to assess the sports service level. The results show that the fitness model of medical integration significantly improves the physical fitness of middle-aged and elderly people. In addition, through the case study of sports public services in Province S, it was found that the ratings were high in cultural and social functional values, but the fundamental applicable values still need to be strengthened. The comprehensive evaluation results show that the overall level of sports public services in Province S is good, but there is still room for improvement.
Path Dependence and Strategic Responses to Supplier Concentration in the Internet Era
Authors: Ku Xiangfang
Published: February 2024

This study explores enterprises’ supplier concentration path dependence in the Internet era and its impact on enterprise performance, and analyzes enterprise coping strategies to optimize supply chain management and enhance enterprise competitiveness. The research method adopts principal component analysis and Tobit model, and selects the data of 100 listed enterprises in the manufacturing industry from 2015 to 2020. The results show that supplier concentration positively correlates with enterprise performance, in which the mean value of supplier concentration is 0.58 and the correlation coefficient with enterprise performance is 0.35. In addition, control variables such as enterprise size and investment opportunities also significantly impact enterprise performance. The conclusion states that the path dependence of supplier concentration positively affects enterprise performance, and enterprises should respond to it by optimizing supply chain management and establishing an internal control system. This provides a new perspective for enterprise supply chain management in the Internet era.
An Exploration of the Application of Principal Component Analysis in Big Data Processing
Authors: Li Guo , Qin Yi
Published: February 2024

With the arrival of the significant data era, efficiently processing large-scale multidimensional data has become challenging. As a powerful data dimensionality reduction tool, Principal Component Analysis (PCA) plays a vital role in big data processing, especially in information extraction and data simplification, showing unique advantages. The research aims to simplify the data processing process and improve the data processing efficiency by PCA method. The research method adopts the basic theory of PCA, the improvement of the weighted principal component analysis algorithm, and standardized and homogenized data processing techniques to process large-scale multidimensional data sets. The results show that the data dimensionality is significantly reduced after using PCA, for example, in the Analysis of the earnings quality of listed companies in the e-commerce industry, the cumulative variance contribution rate of the first four principal components extracted by PCA reaches 81.623%, which effectively removes the primary information of the original data. PCA not only reduces the complexity of the data, but also retains a large amount of crucial information, which is a significant application value for the processing of big data, especially in the fields of data compression and pattern recognition.
CiteSpace-based visualization and analysis of digital media arts research
Authors: Li Wei , Cheng Shijing
Published: February 2024

As an emerging art form, the development trend and impact of digital media art have attracted much attention, and the introduction of CiteSpace tools provides a new perspective for digital media art research, making it possible to analyze the scientometrics of this field. Relevant documents in Web of Science database were selected and analyzed by CiteSpace version 5.6.R4 for research collaboration and thematic co-occurrence networks. The results show that between 2004 and 2022, the total number of digital media arts research literature is 359, of which the literature volume from 2014 to 2022 accounts for 66.85%, and the average annual number of publications is about 27, reflecting the rapid growth of research in this field. Keyword analysis shows that “digital media art”, “digital technology”, “cultural industry”, “education “ and so on have become research hotspots. Digital media art research is gradually shifting from technology and nature exploration to university discipline construction and application practice, showing the trend of cross-border cooperation of disciplines.
Research on Algorithm-Driven International Chinese Online Language and Culture Dissemination Mechanisms
Authors: Li Yingbo
Published: February 2024

With the development of digitalization and Internet technology, algorithm-driven international Chinese online language and culture dissemination mechanisms are becoming increasingly important and a key area of cultural exchange in globalization. This study explores the international Chinese online language and culture communication mechanism under algorithm-driven. By analyzing social network data and adopting quantitative methods such as the SEIR model, the study reveals the effects of network structure, user behavior and cultural content characteristics on communication. The study results show that in the algorithm-optimized network environment, the propagation speed of information is increased by about 50%, and the propagation efficiency of its central node is increased by nearly 70%. Simulations using the SEIR model show that the dissemination coverage of Chinese culture can be increased by more than 40% in a short period with the intervention of the algorithm. In addition, the survey data shows that about 60% of the respondents consider social media the main channel to learn about Chinese culture. The study also found that content with a high degree of interactivity is more likely to be disseminated, with an average interaction rate 30% higher than that of moderate content. Algorithm-driven Chinese cultural communication has higher speed and breadth, but it also needs to pay attention to the depth and diversity of cultural content.
Research on Strategies of Colleges and Universities to Enhance the Sense of Acquisition of College Students’ Ideological and Political Education in the Context of Deep Learning
Authors: Liao Yumei , Xie Xianzhi
Published: February 2024

The ideological and political theory course in colleges and universities carries the primary task of propagating Marxism, and is the central position of ideological and political education in colleges and universities, so how to improve its actual effect has been emphasized by the research in the field of ideological and political education. This paper takes the example of college students of M-school, and wants to reveal the intrinsic connection between the sense of access to civic and political education of college students, and the sense of access to knowledge, the sense of access to emotion, the sense of access to will, the sense of access to value. The focus of the study is to apply the factor analysis method to investigate the factors affecting the access to civic and political education, and explore the path of influencing factors through PLS-SEM model and regression analysis. The study focuses on the application of factor analysis to explore the factors affecting the sense of access to civic and political education of college students, the PLS-SEM model to explore the path involving the sense of access to civic and political education, and the regression analysis of the factors affecting the sense of access to civic and political education of college students, which indicates that the sense of access to civic and political education of college students = 0.558+0.149*knowledge acquisition + 0.333*emotion acquisition + 0.112*will acquisition + 0.154*value acquisition. In actual learning, combined with the background of deep understanding, college students should make their efforts, schools should strengthen the construction of teachers, improve the quality of education supply and play the role of the educational environment.
Study on Countermeasures for Protection of Dietary Intangible Cultural Heritage in Henan Province in the Context of Rural Revitalization
Authors: Liu Hongxia
Published: February 2024

Under the rural revitalization strategy, protecting dietary intangible cultural heritage in Henan Province is particularly important. This study explores the protection countermeasures of intangible cultural heritage of cuisine (shorted as ICH)in Henan Province to promote the sustainable development of culture and tourism. The research methods include DEA model, TOPSIS method, exploratory spatial data analysis and coupling degree analysis. The results show that between 2016 and 2023, the coupling degree of ICH and rural tourism in Henan Province increased from 0.4241 to 0.6917.Especially in Nanyang City, the development of ICH cultural and tourism projects significantly promoted rural tourism, and its level of rural tourism development increased from 0.51 to 0.98.In addition, the grey correlation analysis reveals that the market demand, technological innovation, business interests and policy support are the main influencing factors. The coupling and coordination degree of NGT and rural tourism shows an upward trend. The conclusion points out that the protection of dietary intangible cultural heritage in Henan Province needs to pay attention to market demand, technological innovation and policy support to achieve the dual goals of rural revitalization and cultural protection.
Combined Effects of Butyl Hydroxytoluene and Vitamin C on the Growth Performance, Blood Biochemistry, and Antioxidative Status of Common Carp (Cyprinus Carpio)
Authors: Kandeel Menna M.A. , Magouz Fawzy I. , Omar Amira A. , Amer Asem A. , Zaineldin Amr I. , Ashry Ahmed M. , Dawood Mahmoud A.O.
Published: February 2024

Common carp are proper finfish species for intensification, though their feeds should be reinforced with functional additives to ensure high growth performance and health status. Thus, this study tested the combined effects of butyl hydroxytoluene (BHT) and vitamin C (VC) on the growth performance, blood biomarkers, and antioxidative capacity of common carp. Fish were allotted into four groups and fed on four diets where the control diet was free of VC or/and BHT, while the second and third diets contained dietary VC or BHT at 500 or 150 mg/kg, respectively. The fourth diet was supplemented with both VC (500 mg/kg) and BHT (150 mg/kg) (BHT+VC). After 70 days, feeding VC or/and BHT markedly affected the growth performance of common carp. Carps fed VC, BHT, or BHT+VC had higher (P<0.05) FBW, WG, and SGR than fish fed the control diet, while the FCR was lower (P<0.05) in fish fed both VC and BHT than the control. In addition, feeding BHT or both BHT+VC markedly (P<0.05) reduced the AST, ALT, and urea. The blood protein, albumin, and globulin were higher (P<0.05) in fish fed VC or/and BHT than in the control. Fish fed dietary VC, or BHT+VC, had lower (P<0.05) total cholesterol (T-CHO) and triglycerides (TG) than those fed on the control or BHT. The SOD, CAT, and GPX were significantly higher (P<0.05) in carp fed on dietary VC or/and BHT than in fish fed on the control diet. Nevertheless, the malondialdehyde level was lower (P<0.05) in carp fed on VC or BHT+VC diets than fish on the control or BHT diets. The lysozyme activity was significantly higher (P<0.05) in carp fed on the BHT+VC diet than in the control or VC. In conclusion, the study suggests that dietary BHT or/and VC can be added to the diets of common carp to enhance the growth performance, feed digestion, blood biomarkers, and antioxidative capacity.
Investigation of the Effects of Heavy Metals (Copper, Cobalt, Manganese, Selenium, and Zinc) on Fish Immune Systems – An Overview
Authors: Bagheri Sara , Gholamhosseini Amin , Hoseinifar Seyed Hossein , Banaee Mahdi
Published: February 2024

Aquaculture, as a strategic and developmental industry, plays an important role in ensuring food security and economic stability within countries. This crucial sector faces various influences, including infectious and nutritional diseases. Certain minerals function as essential nutrients, playing a main role in processes across all aquatic animals when present in appropriate dietary proportions. Studies showed that some heavy metals serve as a catalyst for various biological functions, including the maintenance of colloidal systems, acid-base balance, bone formation, and the regulation of fundamental natural elements such as vitamins, hormones, and minerals. Fish acquire essential elements crucial for their well-being through both diet and water sources. Adequate levels of essential elements, such as iron, zinc, copper, cobalt, manganese, and selenium, in the diet contribute to enhanced growth, increased survival rates, improved disease resistance, and heightened specific immunity in fish. When incorporated in appropriate quantities, these elements play a pivotal role in disease prevention, fostering the production of high-quality fish, minimizing economic losses, and solidifying aquaculture as a robust and profitable industry. This article aims to delve into the immunological effects induced by metal elements, specifically copper (Cu), cobalt (Co), manganese (Mn), zinc (Zn), and selenium (Se), in diverse fish species. The objective is to underscore the significance of this exploration, paving the way for the development of more potent immune supplements in the future. These supplements have the potential to improve growth, fortify immune responses, and enhance resilience against diseases in various fish species.
Reticulocyte Response in Paired Blood Samples of Babesia canis Infected Young and Adult Dogs
Authors: Milanović Zorana , Božović Anja Ilić , Bojić-Trbojević Žanka , Hajduković Ljiljana , Andrić Jelena Francuski , Filipović Milica Kovačević
Published: February 2024

Acute B. canis infection can lead to an acute phase reaction (APR) in dogs. The parasite invades red blood cells causing anemia through immune-mediated hemolysis and possible erythropoietic suppression. A regenerative response of the erythroid lineage during the babesiosis has not been described in extension. This research examines hematologic parameters focusing on the absolute reticulocyte count and apolipoprotein A I (ApoA I) level on the day of admission and 14 days after treatment with imidocarb-dipropionate in young (n=11) and adult (n=11) dogs naturally infected with B. canis. Metabolic and inflammatory processes were characterized by analyzing protein and lipid profiles, as well as ApoA I at specified time points. Automated analyzers were used to determine complete blood count and biochemical parameters, while ApoA I was assessed using radioimmunoassay. The reticulocyte count was determined using a manual method by means of supravital staining. Both young and adult dogs with acute B. canis infection showed non-regenerative anemia without difference. Fourteen days after successful treatment with imidocarb-dipropionate, the anemia was corrected and a high reticulocyte count was observed (p<0.05). This indicates that the erythroid regenerative response was efficient in young and adult dogs, although vital signs, leukocyte count and triglyceride concentration suggest a more intense APR in young dogs. A decrease in ApoA I in both groups 14 days after treatment (p<0.01) confirmed that this lipoprotein acts as a positive acute-phase protein in acute B. canis infection in dogs, but further studies are needed to connect its role in erythroid lineage regeneration.
ANALISIS DAYA DUKUNG FISIK KAWASAN WISATA MATA-IE HILLSIDE DESA LAMBARO KEUH KECAMATAN LHOKNGA KABUPATEN ACEH BESAR
Authors: Nabila Amelia Putri , Furqan M. Hafizul
Published: February 2024

Mata-Ie Hillside merupakan salah satu wisata air yang terletak di lereng gunung Bukit Barisan, untuk memanfaatkan suatu sumber daya alam dan mengelola suatu kawasan wisata perlu memperhatikan kesesuaian daya dukung kawasan wisata karena setiap area wisata mempunyai kemampuan yang berbeda dalam menyerap jumlah wisatawan. Daya Dukung Fisik adalah jumlah maksimum wisatawan yang dapat masuk secara fisik ke area tertentu selama waktu tertentu. Penelitian ini dilakukan untuk mengevaluasi daya dukung fisik kawasan wisata Mata-ie Hillside dengan menggunakan Metode kuantitatif yang terdiri atas metode pengumpulan data dan analisis daya dukung wisata dan menggunakan teknik analisis data deskriptif komparatif. Berdasarkan hasil penelitian menunjukan kawasan wisata Mata-Ie Hillside secara keseluruhan dapat menampung wisatawan per hari sebanyak 7. 263 orang/harinya untuk luas area 2,8 hektar dan dapat menampung 303 orang pada kolam 1 dan 611 pada kolam 2. Untuk wahana ATV sport dapat menampung 2.449 orang /hari dan 452 orang wisatawan pada gazebo/harinya.kata kunci: Kawasan, Wisata, Mata-Ie Hillside, Daya Dukung
International Law Regulation of Environmental Security in Disarmament Treaties
Authors: Kukushkina A. V.
Published: February 2024

INTRODUCTION. Currently, one of the urgent issues on the agenda is environmental protection. In the 80s 20th Century, due to the sharp degradation of the environment, the world community raised the issue of developing a concept of environmental safety. It has been integrated into the comprehensive system of international security as one of the constituent elements that is becoming increasingly important.

The absence of lasting peace, the spread of armed conﬂicts, and the accumulation of weapons, including nuclear weapons, are of concern to the international community. Therefore, an important task in improving the system of international legal regulation of environmental protection is to improve its contractual basis.

MATERIALS AND METHODS. This study uses the works of both domestic and foreign experts in international law and analyzes international legal documents on disarmament. In the course of the study, general scientiﬁc methods of cognition were used, which made it possible to systematically and logically study the subject of research in interrelation, interdependence and interdependence (comparative legal, formal legal methods, analysis, synthesis, induction, deduction).

THE RESULTS OF THE STUDY. Within the framework of this article, the author analyzed the problem of international legal environmental protection in relation to disarmament and made proposals for their solution and further development of international legal regulation.

JUDGMENTS AND CONCLUSIONS. According to the results of the study, it was found that treaties adopted in international law to ensure international security contribute not only to the maintenance of peace, but also to environmental safety, which over the past 30 years has become included in most international legal documents.
Política hídrica en Veracruz, una mirada desde la coherencia vertical, la transparencia y el alfabetismo hídrico
Authors:   Red Ambiente y Sustentabilidad, Instituto de Ecología A.C. (INECOL), Xalapa, Veracruz, México, Maganda Ramírez María del Carmen , Aguilar Cucurachi María del Socorro ,   Dirección de Comunicación de la Ciencia, Universidad Veracruzana, Xalapa, Veracruz, México, Ros Cuellar Julia ,   Department of Environment, Agriculture and Geograph, Bishop’s University, Quebec, Canada, Lara López María del Socorro ,   Consultora independiente, Xalapa, México, Vidriales Chan Georgina ,   SENDAS AC, Tlalnelhuayocan, Veracruz, México, Ramos-Escobedo Miriam G. ,   Global Water Watch México, Xalapa, Veracruz, México
Published: February 2024

Este artículo tiene como objetivos 1) presentar una compilación actualizada del material legislativo y normativo en materia de política hídrica, planes de desarrollo y programas regionales del agua del nivel nacional al estado de Veracruz, México; con el fin de 2) analizar la coherencia vertical de la política hídrica en dos niveles de gobierno: nacional y estatal en el periodo 2019-2022; así como, 3) reforzar la importancia de la transparencia de información bajo el enfoque del alfabetismo hídrico. A manera de una línea del tiempo, presentaremos los resultados de una profusa investigación documental sobre diversas leyes e instrumentos de planeación; así como un mapeo de los instrumentos de política pública y organismos con atribuciones en cada nivel de gobierno. Esta compilación pretende llenar el vacío informativo temporal y de contenido en la materia, documentar y analizar la coherencia vertical de las leyes, planes y programas hídricos oficiales emitidos en el periodo citado.
PELATIHAN DESAIN RUMAH TRADISIONAL SUNDA KAMPUNG ADAT KASEPUHAN SINAR RESMI, CISOLOK-SUKABUMI
Authors: Walaretina Rita , Popi Puspitasari  , Agustin R. Lakawa
Published: February 2024

Kampung Adat Kasepuhan Sinar Resmi dalam kehidupan sehari-hari masih memegang nilai-nilai serta aturan-aturan dalam bermukim. Masyarakat serta organisasi adat pada perkampungan ini tetap memandang sebuah rumah tidak hanya sebagai tempat tinggal dan tempat bernaung, namun terdapat dimensi citra yang menyebabkan adanya pemaknaan pada bangunan serta ruang tempat tinggalnya.  Pada saat ini pembangunan rumah tradsional Sunda yang dilakukan secara turun temurun hanya mengandalkan ahli atau tukang bangunan dikenal dengan istilah tukang bas. Pada umumnya rumah-rumah tradisonal Sunda yang terdapat di Sinar Resmi masih terpelihara dengan baik, namun demikian terdapat pula rumah-rumah baru yang terlihat berbeda dengan rumah tradisonal yang ada.  Pertumbuhan rumah-rumah baru ini tidak dapat dihindari sejalan dengan berkembangnya populasi, meningkatnya kebutuhan masyarakat serta arus modernisasi. Untuk menjaga keberlanjutan akan citra perkampungan adat tradisional Sunda, maka dirasakan perlu memberikan pelatihan kepada masyarakat setempat dalam melakukan proses desain yang masih tetap mempertahankan nilai-nilai lokal. Pengumpulan data lapangan serta penggambaran rancangan rumah tinggal asli sebagai data awal menjadi bahan utama dalam melakukan pelatihan ini. Melalui pendekatan partisipatori dan diskusi mendalam yang melibatkan masyarakat setempat, maka pembangunan dan pengembangan rumah tinggal diharapkan tetap memegang nilai dan aturan yang telah berlangsung sejak lama. Dengan demikian maka permukiman yang selaras dengan alam akan terjaga keberlanjutannya.
Identifikasi Parameter Kualitas Bahan Pangan dengan Metode Entropy-Based Subset Selection (E-SS) (Studi Kasus: Minuman Anggur)
Authors: Tjen Jimmy
Published: February 2024

Penelitian ini bertujuan untuk membangun sebuah algoritma yang dapat mengidentifikasi parameter dari bahan pangan yang mempengaruhi kualitas dari bahan makanan tersebut menggunakan algoritma pemilihan himpunan bagian berbasis entropi dan metode pohon klasifikasi dari pembelajaran pohon keputusan. Metode pemilihan himpunan bagian berbasis entropi secara khusus merupakan sebuah algoritma yang bertujuan untuk memilih sekumpulan dari parameter yang memiliki hubungan entropi yang baik satu sama lain, sehingga dapat menghasilkan model prediktif yang optimal. Untuk memvalidasi performa dari algoritma yang digagas, penelitian ini mengambil sampel dari minuman anggur merah dan putih yang berasal dari negara Portugal. Berdasarkan pada percobaan yang telah dilakukan, diperoleh hasil bahwa algoritma yang digagas dapat memprediksi kualitas dari anggur putih dengan akurasi hingga 97,8 % dan 96,25% untuk kualitas anggur merah. Dimana, nilai ini lebih tinggi dari metode pohon klasifikasi klasik, dan algortima yang digagas hanya membutuhkan jumlah parameter yang lebih sedikit ( hanya 2 hingga 5 dari total 11 parameter input yang ada) jika dibandingkan dengan metode klasik. Lebih lanjut, berdasarkan pada percobaan yang telah dilakukan, diperoleh temuan bahwa parameter yang paling menentukan kualitas dari anggur putih adalah tingkat keasaman, kadar alkohol, pH dan kandungan klorit. Sedangkan untuk anggur merah, kualitas secara dominan ditentukan oleh kandungan sisa gula, densitas minuman dan kandungan dari sulfur oksida.
The Moscow City Duma and private entrepreneurship at the beginning of the XX century: metro construction projects
Authors: Popovich Nikita Denisovich
Published: February 2024

The object of the study is the Moscow city government and its relations with private entrepreneurship in the pre–revolutionary period. The subject of the study is projects for the construction of the Moscow metro in the early XX century. The study of this issue is important, since modern entrepreneurship and the city authorities will continue to actively cooperate on various issues. In addition, this work allows us to better understand why the construction of the Moscow metro took place only in the 1930s, although the first attempts were made several decades before that. The study pays special attention to the reasons why the City Duma did not want to entrust the construction of the metro to private capital. To determine these reasons, the materials of the fund of the Central State Archive of Moscow – "Moscow City Duma and Council (1870-1917)" were studied. The methodological foundations of the research include the principle of historicism, the principle of objectivity and the principle of consistency. The main methods used in this study include the historical-genetic and retrospective method. The scientific novelty of the study lies in a deeper study of the topic, a detailed study of the materials and the introduction into scientific circulation of a new source – "Verbatim reports on the meetings of the Moscow City Duma for the month of June 1913." According to the conclusions of the study, there were several reasons why the Moscow metro was not built in the pre-revolutionary period. The City Duma did not want to entrust the project to private capital, but was not ready to take on this task because of its high cost. At the same time, members of the city administration were afraid of missing out on potential profits from the future operation of the subway and did not want to share control over such an important transport network. In addition to this, there were concerns among the Duma's vowels that the construction of the metro would have a negative impact on the population of the city, especially in its central part.
Regulatory and legal foundations of the national education in Russia in the post-reform period (1860-1917)
Authors: Tsenyuga Sergei Nikolaevich
Published: February 2024

The article is devoted to the problem of identifying regional peculiarities of the integral process of formation of normative-legal support for the activity of national education in post-reform Russia. The aim of the article is to present the results of the study of the relationship between the accumulation of organizational and legal knowledge and the applied experience of the implementation of this process at the national and regional levels. Objectives: to characterize the conditions that influenced the formation of normative-legal support for the activity of national schools as an independent direction of nation-state building in the educational system of post-reform Russia. The research was based on the principle of historicism, methods of analysis and comparison, historical-systemic, sociological methods and the method of content analysis. The analysis of the main normative-legal acts that directly or indirectly influenced the national education development demonstrates a rather high professionalism of the developers of the basic ideas of the national policy, which are characterized by external positive motivation. The authors confirmed the hypothesis of the study that in the period under study the normative and legal foundations for the establishment of the national education in Russia were laid, which played a determining role in the birth and development of educational institutions with a national component in Yenisei province. This historical experience was not wasted, but was taken into account in the next attempt to solve the problems of nation-state building and national education in the first decades of Soviet power, which determined the direction and nature of our further research activities from the position of determining the possibility of its use in modern conditions.
Makna Gramatikal Verba dalam Lirik Lagu Hoshi wo Tsukame dan Garuda to Tomo ni oleh Hiroaki Kato
Authors: Nugroho Rahadiyan Duwi , Wulandari Siti , Zuliastutik Hendri , Pratama Adi Putra
Published: February 2024

Masalah penelitian ini adalah bagaimana pengaruh verba yang memiliki makna gramatikal dalam lirik lagu Hoshi wo Tsukame dan Garuda to Tomo ni berpengaruh terhadap makna dari kedua lagu tersebut. Teori yang digunakan dalam penelitian ini yakni, teori semantik (imiron), makna gramatikal (bunpouteki-imi) verba imperatif (meireikei), verba …n desu, dan verba tak pasti (doushi no futeikei). Tujuan penelitian ini yakni untuk mengidentifikasi perubahan makna gramatikal dari verba yang berada dalam lirik lagu Hoshi wo Tsukame dan Garuda to Tomo ni, kedua mengetahui pengaruh perubahan verba tersebut dalam memengaruhi makna dari kedua lagu tersebut. Manfaat penelitian ini yakni, pemelajar bahasa Jepang dapat memahami perubahan makna gramatikal dari verba bahasa Jepang dalam lirik lagu bahasa Jepang dapat memengaruhi perubahan maknanya. Metode penelitian dalam penelitian ini adalah deskriptif kualitatif.  Hasil dari penelitian ini yakni, verba (doushi) yang mengalami proses perubahan makna makna leksikal ke gramatikal sebanyak 9 data. Pertama, verba berbentuk perintah (meireikei) ada dua bentuk. Satu, verba + bentuk …ro (ーろ) ditemukan 4 verba yakni, misetsukero ‘tunjukkan padaku’, yakitsukero ‘catatlah’, koero ‘lampauilah’, oitsuzukero ‘terus kejar’. Dua, verba + bentuk…ge (ーげ) ditemukan 3 yakni, tsunage ‘gandeng’, tsudoe ‘berkumpul’, tachimukae  ‘hadapi’. Kedua, verba berbentuk …n desu dengan bentuk: verba + bentuk…nda (ーんだ) ditemukan 1 yakni, shinjiru nda. ‘percayalah’. Ketiga, verba tak pasti (doushi no futeikei) dengan bentuk: verba + bentuk…zuni (ーずに) ditemukan 1 yakni, akiramezuni ‘tanpa menyerah’. Ketiga fungsi verba tersebut secara tidak langsung memengaruhi kandungan makna kedua lagu tersebut yang menyeru, menguatkan, dan memberi sikap optimis bahwa para atlet khususnya Tim Indonesia dan Timnas U17 agar berjuang gigih, pantang menyerah dan yakin dapat meraih prestasi terbaik.   
Kata kunci: Garuda to Tomo ni; Hoshi wo Tsukame; lirik lagu; makna gramatikal; verba.
Automated One-Sided Learning Fault Detection System for Reaction Wheel Bearing Friction Anomalies
Authors: Huang Yujia , Ferguson Philip
Published: February 2024

Monitoring a satellite’s health during a mission has become critical in space engineering. In-flight anomaly detection is difficult for ground operators, placing space missions at risk of failure. Machine learning algorithms are data-driven methods that could autonomously detect faults in situ. In this paper, a new application of machine learning algorithms in space engineering is introduced for detecting reaction wheel bearing anomalies that only relies on nominal data (no failure data) for training and with no prior knowledge of the system dynamics. Using a one-sided regression method, an automated fault detection system was designed to monitor the attitude dynamics control system for a small satellite. The proposed detection algorithm was first trained using a simulated attitude dynamics control system for the small satellite. Next, the detection system was trained with only nominal behavioral data of the control system for a designated period of time. Then, different types of bearing friction failures were added to the simulated system to test the trained fault detection system. The empirical rule (68-95-99.7 rule) was used as a failure detection criterion to differentiate failure data from nominal. Similar physical tests were conducted using a combination of a brushless motor and drone propellers. Both simulation and experimental results demonstrated the robustness of detection accuracy, were model-free, and verified the feasibility of an easy-to-use, accurate, and autonomous anomaly detection system for reaction wheels that could be extended to other space systems.
Steady-State Transonic Flowfield Prediction via Deep-Learning Framework
Authors: Immordino Gabriele , Da Ronch Andrea , Righi Marcello
Published: February 2024

This paper focuses on the development of a deep-learning framework for predicting distributed quantities around aircraft flying in the transonic regime. These quantities play a crucial role in determining aerodynamic loads and conducting aeroelastic analysis. Angle of attack and Mach number are chosen as the two independent parameters for the reduced-order models. A comparative assessment is conducted between the proposed deep-learning framework and the proper orthogonal decomposition approach to identify the strengths and weaknesses of each method. The accuracy of the data-driven machine-learning method in modeling steady-state transonic aerodynamics is assessed against three benchmark cases of three-dimensional test cases: Benchmark Super Critical Wing and ONERA M6 wings, and the wing–body Common Research Model configuration. Despite the challenges of the analyzed scenarios, promising results are obtained for each test case, showing the effectiveness of the model implemented. Furthermore, the paper demonstrates the application of the method for aeroelastic analysis and uncertainty quantification. This quantifies the robustness and versatility of the implemented model.