bluuebunny/crossref_metadata_2025_split huggingface dataset:
Edge Computing in Power IoT Security and Intelligent Monitoring
Authors: Liu Danni , Wang Shengda , Chen Cong , Zhang Yan , Zhao Wei 
Published: October 2024

Abstract
In the context of the rapid development of power IoT, the application of edge computing technology has become the key to improving the level of grid intelligence and enhancing the data processing capability. This paper initially designs the edge computing system for electric power IoT based on the edge computing model. Key-edge computing technologies are combined to process and analyze power IoT data in real-time. Simulation experiments have formed and verified an intelligent security monitoring system for electric power IoT using the LightGBM algorithm. The training convergence speed and effectiveness of this paper’s scheme are better than Stroj’s scheme, and this paper’s scheme can increase the security of power IoT data through key generation and filter de-duplication. This paper’s nodes have an average synchronization time of 9.25 ms. The 128MB data node has an upload time of 57143ms. The data sharing time is about 292~7489 ms faster than the comparison scheme, and in the data search phase, the time overhead of this paper’s scheme is less than the comparison scheme. In summary, this paper’s constructed security monitoring system can offer robust technical support for the advancement of intelligent, efficient, and omnipotent power in the Internet of Things.
Research on the method of eliminating differences between small-sample databases based on cloud computing
Authors: Que Lingyan , Jiang Zhengwei , Zhang Xinxin , Pi Yu , Chen Qi 
Published: October 2024

Abstract
As computer technology continues to advance, more and more people are using databases, leading to variations in data backup and transfer between databases. This paper proposes a small sample inter-database discrepancy data elimination method based on cloud computing architecture as a way to solve the problem of data synchronization discrepancy between different databases. The semantic features of the data in the database are represented in the form of a directed graph, and the semantic Gaussian marginalized data fusion system is constructed by combining the rectangular window function of Gaussian marginalization to realize the fusion filtering processing of discrepant data. Then, the particle swarm discriminant tree algorithm is used to extract the features of the difference data between the small sample databases, and the KL transform is used to compress the difference data to improve its confidence level. The rough weighted average single dependency method is introduced to detect and identify the difference data between small sample databases and combined with the artificial intelligence algorithm to construct the principal component feature set of the difference data in the small sample databases, thus realizing the elimination of the difference data between small sample databases. When the proportion of difference data is increased from 0.05% to 1.00%, the leakage alarm rate and false alarm rate of this paper’s method for the difference data between small sample databases are 0.113% and 0.099%, respectively. When eliminating the inter-database discrepancy data, its time consumption is between 0.06μs and 0.3μs, and the average value of the removal rate of discrepancy data can reach 95.54%. Small sample databases that utilize cloud computing technology can utilize a variety of differential data elimination algorithms to ensure high-quality migration and synchronized backup of inter-database data.
Constructing an AI-driven teacher training model for vocational education: teachers’ information literacy and teaching competence at the same time
Authors: Li Yongmei 
Published: October 2024

Abstract
With the integration of various emerging technologies represented by artificial intelligence into the field of education, the education sector has set off a research boom in wisdom education, forming a series of new forms of education such as wisdom classrooms and wisdom teaching. This paper takes education informatics as the connecting point to sort out the logical connection between teachers’ information literacy and smart education. The intelligent system, various subjects, and complicated knowledge domains are united to form a specific objective relationship and multivariate correlation network to construct a specific field of AI-enabled teacher training. Embedding the training process of vocational education teachers in each stage of the AI-assisted teacher training system, we examined their learning mood, concentration, and the impact on their information literacy ability under AI-driven. AI-driven interactions at all stages could greatly awaken learners’ emotions, which could enable teachers to focus more on training, as shown in the results. In addition, the composite mean value of teachers’ information literacy under AI-driven was 4.10, which was significantly higher than that of 3.42 before use (p<0.001). AI technology-enabled vocational teacher training can be a significant direction for teacher training reform.
Target Detection in Remote Sensing Images Based on Recognition Algorithm
Authors: Zhang Qingrong 
Published: October 2024

Abstract
Aiming at the problem of low target detection accuracy caused by the close arrangement of targets, complex feature information, and numerous small targets in remote sensing images, this paper proposes a target detection algorithm based on the improved Yolov5 algorithm for remote sensing images. Firstly, this paper designs a remote sensing image target detection algorithm C²-YOLO based on multi-level feature fusion. Combined with the attention mechanism module to focus on the spatial location information of the target, which improves the extraction effect of the features of the target of interest. The network uses the CARAFE upsampling operator with a larger sensing field to better utilize the surrounding information. The proposal is to incorporate a predictive header hl that is generated from a low-level, high-resolution feature map to improve the recognition of tiny objects. The problem of large target scales in remote sensing images and poor detection of small targets has been improved. Angular loss is also added to the loss function to improve the detection of rotating targets. Finally, the accuracy comparison and experimental effect visualization are carried out on the dataset, and the experimental results show that the improvement work in this paper achieves better results no matter comparing the original YOLOv5 detection algorithm or other types of detection algorithms. Specifically, the accuracy of C²-YOLO on the NWPU dataset 1-shot recognition task is 78.45%, which is much higher than that of other detection algorithms, and is able to reach a superior performance in the remote sensing image target detection task.
A blended teaching model integrating cognitive science and educational technology: an empirical study to enhance students’ learning effectiveness
Authors: Wang Xiaolian 
Published: October 2024

Abstract
With the continuous development and promotion of blended classrooms in college education and teaching, utilizing quality educational technology to improve learning effectiveness and teaching quality has become an inevitable choice to promote the deep integration of educational technology and cognitive science. In this paper, we construct the student model using Bayesian networks under the blended teaching mode. The improved overlay model is used to abstractly represent the content knowledge learned by the students, track the dynamic learning process of the students, constantly update the knowledge status of the knowledge points learned by the students, and adopt the signal light standard to represent the students’ mastery of the knowledge units. The constructed student model is defined in terms of learning styles and cognitive states, and the learning outcomes under the blended teaching mode are visualized through empirical analysis. The experiment revealed that the students’ style dimensions scores were 23, 16, 11, and 2, and their learning style type was sensory-intuitive. After the experiment, the average value of the integrated water of cognitive ability of the experimental group and the control group is 71.77 and 66.33, respectively, and the p-value is 0 less than 0.05, which indicates that the blended teaching mode effectively improves the cognitive level ability of the learners.
Research on the Design and Application of Intelligent Teaching and Training System for College Basketball Based on 3D Motion Recognition Technology
Authors: Chen Tianyu 
Published: October 2024

Abstract
In this paper, for the problems of traditional 2D convolutional networks in dealing with action recognition in video, a dual-resolution 3D-CNN action recognition network is induced to initialize 3D convolutional weight parameters by using 2D weight parameters of ImageNet, and the weight files are used as the parameters of the model to perform feature extraction on the sequence of technical action frames respectively. After feature extraction, collect the feature vectors that can effectively describe the human body movements, classify the feature vectors with the help of the kernel function in the Support Vector Machine (SVM), and finally determine the technical architecture of the basketball auxiliary training system, and complete the design of the intelligent teaching and training system for basketball in colleges and universities. After analyzing the method of the present paper, it can be seen that the recognition error of the basketball player’s running gait is 3.47%, which accurately reflects basketball sports training footwork trajectory to achieve the effect of intelligent guidance. In addition, the upper and lower limb movement recognition effect based on CNN+SVM is obvious, and the average accuracy rate of its upper and lower limb movements is 93.17% and 98.66%, respectively, which well meets the needs of basketball teaching in colleges and universities. In terms of students’ basketball skills, there is a significant difference between this paper’s system and traditional teaching (P<0.05), and this paper’s system has a higher priority for improving the quality of college basketball teaching than traditional teaching.
Toward an explanation of speech style
Authors: Dolník Juraj 
Published: October 2024

Abstract
The study focuses on the formulation of ideas as a contribution to the explanatory theory of speech style. Ideas relate to the ontological basis of style, the fundamental role of sociocultural meanings, the rationality of stylistic knowledge, and the deep motivation of stylistically relevant linguistic behavior and action in social interaction. The author approaches style from a holistic position based on the belief that speech style is integrated into the ways of human activity as a whole controlled by a pragmatic subject. In the center of attention is the subject of style, who discovered sociocultural meanings tied to the ways of activities, developed the ability of stylistic adaptation to current conditions of social interaction, and learned to deal with stylistic knowledge with appropriate rationality in communication practice. The author also answers the question of what laws and principles underlie the existence of style, its subject and stylistic behavior and actions.
Proper names of places referring to the Czech and Slovak localities in mineralogical nomenclature
Authors: Holeš Jan 
Published: October 2024

Abstract
The article deals with the terminology of mineralogy, particularly with the names of minerals formed from proper names of places located in the territory of the Czech Republic and the Slovak Republic. The official list of minerals approved by the Commission on New Minerals, Nomenclature and Classification of the International Mineralogical Association is used as a corpus. In the sample, containing almost six thousand items, 40 terms of this type were found, constituting 21% and 24% of the names for which the Czech Republic or the Slovak Republic is listed as the first place of discovery. These terms have become part of the official terminological vocabulary of the natural sciences. For each of them, the article provides its etymology. The names are based on onomastic metonymies, with roots referring to the names of type localities where the minerals were found, names of the surrounding villages, towns, hills, and mountain ranges.
FOTO CERITA KEHIDUPAN KELOMPOK TANI KAMPUNG SUSUN BAYAM DALAM MENGHADAPI KRISIS AIR DAN LISTRIK USAI PEMBANGUNAN JAKARTA INTERNATIONAL STADIUM
Authors: Joseph  , Silvia Amanda Aurelia Tahalea  , Erlina Novianti  
Published: October 2024

Tani The Kampung Susun Bayam Farmers Group is a community dealing with housing rights issues, forcing them to live without essential services, such as water and electricity. This research aims to document their daily lives amid the water and electricity crisis that followed the construction of the Jakarta International Stadium. The method employed is qualitative with The study adopts a practice-based research approach, aiming to acquire new knowledge through direct practice. Writer using ohoto story style utilizing its nine elements to create a coherent narrative. Fifteen photo works were presented using the polyptychs technique, aligning photos in diptychs and triptychs. This research focuses specifically on the Kampung Susun Bayam residents facing the water and electricity crisis, but it can be expanded to explore their lives after relocation.
LITERASI KEUANGAN SYARIAH BAGI PELAKU UMKM RUFATA
Authors: Lavlimatria Esya  , Aji Kusuma Wijaya  , Muhammad Yudhi Lutfi  , Nadia Kesumawardani  
Published: October 2024

Tujuan dari kegiatan PkM ini adalah untuk memberikan Literasi Keuangan Syariah dan Pembukuan Sederhana bagi Pelaku Usaha Menengah Kecil Mikro (UMKM) Rufata, yang berlokasi di jalan Pancoran Timur II No. 4 Gudang Sarinah Pancoran, Kel. Cikoko, Kec. Pancoran, Kota Jakarta Selatan. Pelaku Usaha Menengah Kecil Mikro (UMKM) Rufata adalah pelaku usaha Kantin yang memiliki kegiatan usaha makanan dan minuman, seperti: Ayam Bakar, Rawon, Nasi Goreng, Jus dan Coffee, Indo Mie Rebus, Mie Goreng, Gorengan, Aneka Kue Basah, Roti dan lain-lain. Pengetahuan pelaku UMKM Rufata tentang keuangan syariah, baik segi prinsip-prinsip keuangan syariah maupun produk-produk keuangan syariah, seperti: produk keuangan: dana pihak ketiga, pembiayaan, jasa-jasa, maupun produk non-keuangan (Zakat, Infaq, Sadaqah dan Wakaf/ZIS) masih rendah, begitu juga pengetahuan pelaku UMKM Rufata tentang pembukuan sederhana atau pencatatan keuangan masih terbatas. Metode yang digunakan dalam pelaksanaan PkM ini adalah penyuluhan dan pelatihan. Selama pelatihan dan penyuluhan juga dilakukan diskusi. Selama diskusi peserta pelatihan UMKM Rufata sangat interaktif, hal ini terlihat antusiasnya peserta dalam berdiskusi. Selain itu, kegiatan ini juga melakukan evaluasi dengan menyebarkan kuesioner, terutama terkait pemahaman peserta tentang literasi keuangan syariah dan pembukuan sederhana. Hasil evaluasi menunjukkan bahwa sebesar 65 persen pelaku Usaha Menengah Kecil Mikro (UMKM) Rufata paham dengan baik sekali dan sebesar 27 persennya adalah baik.
Lipid Profiles and Liver Functions Tests in Kidney Stone Formers
Authors: KAKEY ISMAIL SALIHAL , KHAFAR KANIAW RAFHAT 
Published: October 2024

This study included 106 stone former patients (60 males with 46 females), who attended the Teaching Hospital in Sulaimani Governorate between April to June 2012. The diagnosis of the cases were done in the hospital, based on history, clinical examination followed by Kidney x-ray, ultrasonography, and urinalysis, also the study included 28 healthy (14 male with 14 female) person as control.The investigations included measurement of the liver function tests and renal functions tests beside the lipid profile in stone formers . Automatic chemical analyzer (Benchtop automatic biochemistry analyzer,ELITech) used for measuring total serum glucose , serum cholesterol, triglycerides (TG), cholesterol-HDL, serum LDL, serum VLDLserum albumin, alkaline phosphatase (ALP), Aspartate transferase (AST), Alanine aminotransferase (ALT), gamma glutamyltransferase (GGT), serum bilirubin and serum blirubin. The results demonstrated significant elevation in the levels of the serum cholesterol, triglyceride, LDL- cholesterol , VLDL- cholesterol, glucose, ALP, AST, GGT and LDH concentrations in renal stone former patients of both sex groups, with non significant lowering of the HDL- cholesterol in renal stone former patients.while albumin is lowered significantly with non significant differences in the serum ALT and bilirubin concentrations between renal stone former patients and controls groups. In conclusion, the results showed physiological relations of lipid metabolism and liver function with state of kidney dysfunction.
Исследование функционирования кольцевого лазерного гироскопа при вибрационных воздействиях
Authors: Николай Вадимович Тихменев , Сергей Иванович Назаров , Александр Александрович Ушанов , Антон Олегович Синельников 
Published: October 2024

Выполнен теоретический анализ и экспериментальное исследование функционирования кольцевого лазерного гироскопа при вибрационных воздействиях. Целью исследования является улучшение технико-экономических и эксплуатационных характеристик, заключающихся в снижении чувствительности кольцевого лазерного гироскопа на виброподвесе к внешним механическим воздействиям. Выполнен обзор ключевых характеристик и конструктивно-технологических решений построения наиболее распространённых в России и за рубежом моделей кольцевых лазерных гироскопов и инерциальных навигационных систем на их основе. Проведены динамические расчёты конструкции прибора. Используя методы конечно-элементного анализа, исследовано функционирование механической системы кольцевого лазерного гироскопа при вибрационных воздействиях. Экспериментально исследовано влияние внешнего вибрационного воздействия на выходной сигнал кольцевого лазерного гироскопа на виброподвесе. Показано, что ошибки измерения угловой скорости возникают в области частот собственных резонансов конструкции. Получено согласование результатов расчёта собственных резонансных частот кольцевого лазерного гироскопа на виброподвесе с экспериментальными данными. Сформулированы требования, позволяющие повысить виброустойчивость конструкции. Данное исследование позволит разработать методику проектирования конструкции и систем жизнеобеспечения кольцевого лазерного гироскопа на виброподвесе на основе исследования ошибок, возникающих при внешних механических воздействиях.
Theoretical analysis and experimental study of the ring laser gyroscope functioning under vibration influences was carried out in this work. The purpose of the study is to improve the technical, economic and operational characteristics, which consist in reducing the dithered ring laser gyroscope to external mechanical influences. The work provides a review of the key characteristics, design and technological solutions for constructing the most common models of ring laser gyroscopes and inertial navigation systems. Dynamic calculations of the device design have been carried out. The mechanical system functioning of the ring laser gyroscope under vibration influences was studied using finite element analysis methods. The external mechanical influence of the dithered ring laser gyroscope on output signal was studied experimentally. It is shown that errors in measuring angular velocity arise in the frequency range of the structure’s own resonances. Agreement between the results of calculating the intrinsic resonances of an often dithered ring laser gyroscope and experimental data has been obtained. This research will allow us to develop a methodology for designing the dithered ring laser gyroscope structure and life support systems based on the study of errors arising from external mechanical influences.
Исследование зависимостей и распределений в случайных сетях для смешанных моделей эволюции и при удалении узлов
Authors: Наталья Михайловна Маркович , Максим Сергеевич Рыжов , Михаил Ростиславович Кулик 
Published: October 2024

Изучается эволюция случайной сети моделями предпочтительного (preferential attachment), кластерного (clustering attachment) и смешанного присоединений для формирования связей вновь присоединенных узлов с существующими узлами. Рассматриваются стратегии удаления узла на каждом шаге эволюции сети: 1) без удаления узлов и связей; 2) удаление наименее влиятельного узла среди наиболее "старых", где в качестве меры влиятельности узла используется его пейджранг; 3) удаление узла с вероятностью, обратно пропорциональной числу его связей. Для этих стратегий удаления моделированием сравниваются зависимости двух характеристик случайных сетей: числа связей узлов и числа их треугольников (т.е. троек связанных узлов, в которые узел вовлечен) и поведение кластерных коэффициентов узлов. Оценивается тяжесть хвоста распределения для числа связей и треугольников. Смешанное кластерно-предпочтительное присоединение предлагается впервые.
The evolution of a random network by models of preferential, clustering and mixed attachments to form links between newly appending nodes and existing nodes is studied. Strategies of node deletion at each step of network evolution are considered: 1) without node and edge deletion;~2) deletion the least influential node among the most 'old', where the node's PageRank is used as a measure of the node's influence;~3) deletion a node with a probability inversely proportional to the node degree. For these deletion strategies the dependence of two characteristics of random networks, namely, the node degrees and node triangle counts (that is, the triples of interconnected nodes in which the node is involved), and the behavior of clustering coefficients of nodes are compared by simulation. The heaviness of the distribution tails for the node degrees and the node triangle counts is estimated. The mixed clustering-preferential attachment is proposed here for the first time.