A Lightweight Person Detector for Surveillance Footage Based on YOLOv8n by Qicheng Wang, Guoqiang Feng, Zongzhe Li

“…Additionally, on a custom surveillance dataset, the model shows a 1.4% improvement in mAP@0.5:0.95, and on a more complex subset of the PASVOC public dataset, the model achieved a 2.8% improvement in mAP@0.5 and a 1.2% improvement in mAP@0.5:0.95, proving the high accuracy and generalization ability of the improved lightweight model.…”
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ТHE BEGINNING OF THE WORLD ACCORDING TO HESIODS AS THE BIRTH OF PHILOSOPHICAL ONTOLOGY by Ігор ПАВЛЕНКО

“…Of particular interest in this sense is Chaos, a rather complex and mysterious reality that is primary in relation to others and, moreover, is itself a creative force. …”
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Land use intensity differently influences soil communities across a range of arable fields and grasslands by Chenguang Gao, Johanna E.M. Schild, Gabriel Y.K. Moinet, T. Martijn Bezemer, Franciska T. de Vries, Jan Hassink, Nick van Eekeren, Kevin Beentjes, Peter M. van Bodegom

“…Specifically, irrigation and pest control were the main practices shaping soil communities in arable fields, while phosphorus and nitrogen fertilization were the main practices structuring soil communities in grasslands. Furthermore, an increase in land use intensity led to greater soil network complexity in arable fields.Our findings reveal regional on-farm patterns of land use intensity effects on various soil communities and identified key agricultural practices that structure soil communities. …”
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Revenue policy features as an important direction of social policy by M. A. Biganova

“…The study have used various general scientific research methods: observation method, the systemic-functional method, method of synthesis and analysis, method of scientific abstraction.The main directions of improving the implementation of the state social policy, which is presented as a voluminous, multi-faceted process that has a complex structure and intersects with many other areas of state activity, have been proposed. …”
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Research on vehicle feature recognition algorithm based on optimized convolutional neural network by Xuan CHEN, Jiyi WU

“…To address the issue of weak identification and low accuracy in recognizing features of target vehicles at different distances in road scene images, a vehicle feature recognition algorithm based on optimized convolutional neural network (CNN) was proposed.Firstly, a multi-scale input based on the PAN model was employed to capture target vehicle features at varying distances.Subsequently, improvements were made to the network model by incorporating multi-pool, batch normalization (BN) layers, and Leaky ReLU activation functions within the CNN architecture.Furthermore, the generalization ability of the network model was enhanced by introducing a hybrid attention mechanism that focuses on important features and regions in the vehicle image.Lastly, a multi-level CNN structure was constructed to achieve feature recognition for vehicles.Simulation experiment results conducted on the BIT-Vehicle database within a single scene show the proposed algorithm’s significant enhancements in single-object and multi-object recognition rates compared to CNN, R-CNN, ABC-CNN, Faster R-CNN, AlexNet, VGG16, and YOLOV8.Specifically, improvements of 16.75%, 10.9%, 4%, 3.7%, 2.46%, 1.3%, and 1% in single-object recognition, as well as 17.8%, 10.5%, 2.5%, 3.8%, 2.7%, 1.1%, and 1.3% in multi-object recognition, have been demonstrated by the proposed algorithm, respectively.Over the more complex UA-DETRAC datasets, more precise results have been also achieved by the proposed algorithm in recognizing target vehicles at various distances compared to other algorithms.…”
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Repeated sevoflurane exposure causes hypomyelination in the prefrontal cortex of adult male mice by Linyong Zhang, Zhidan Ke, Ning Zhang, Dechuan Wang, Liang Zhou

“…However, the impact of sevoflurane exposure on intact myelin structure in the adult brain is barely discovered. …”
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Design of a novel Cu-Cr-X alloy with high strength and high electrical conductivity based on mechanical learning by Yunqing Zhu, Yicheng Cao, Lijun Peng, Qian Yu, Zhen Yang, Zengde Li, Junsheng Wu, Haofeng Xie

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Advances in machine learning applications to resource technology for organic solid waste by Hongzhi MA, Yichan LIU, Jihua ZHAO, Fan FEI, Ming GAO, Qunhui WANG

“…Furthermore, selecting the right ML model for a specific task requires careful consideration of the data structure, the complexity of the problem, and the desired outcomes. …”
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Positive Psychological Interventions for Patients with Type 2 Diabetes: Rationale, Theoretical Model, and Intervention Development by Jeff C. Huffman, Christina M. DuBois, Rachel A. Millstein, Christopher M. Celano, Deborah Wexler

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Use of Monoterpenes as Potential Therapeutics in Diabetes Mellitus: A Prospective Review by Leonardo da Rocha Sousa, Nildomar Ribeiro Viana, Angélica Gomes Coêlho, Celma de Oliveira Barbosa, Débora Santos Lula Barros, Maria do Carmo de Carvalho e Martins, Ricardo Martins Ramos, Daniel Dias Rufino Arcanjo

“…These compounds are reported to have antidiabetic effects in recent years. Due to nature’s complex biosynthetic machinery, they also exhibit a reasonable degree of structural complexity/diversity for further analysis in structure-activity studies. …”
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MFIEN: multi-scale feature interactive enhancement network for seismic data denoising in desert areas by Tie Zhong, Yuxin Ye

“…A Multi-scale Feature Interaction Enhancement Network (MFIEN) for intense background seismic noise attenuation in desert areas is proposed in this paper to address this problem. In general, MFIEN has a multi-scale feature interaction structure that combines feature information from different layers and captures distinct features through effective information integration. …”
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PEDAGOGICAL ASSISTANCE IN HIGH SCHOOL STUDENTS’ PROFESSIONAL SELF–DETERMINATION by V. N. Kormakova, E. N. Musaelian, D. I. Ruziyeva

“…Introduction. The study is complex and extremely topical in modern society and social and cultural reality. …”
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PSYCHOLOGICAL BASIS OF FORMING A SPORTS COACH'S PROFESSIONAL IMAGE by Kateryna Shkarlatiuk, Viktor Koshyrets, Alla Hubina

“…The following theoretical and empirical methods were used: analysis, synthesis, generalization; a complex of psychodiagnostic methods which allowed to reveal the content and functional parameters of the professional image. …”
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Socio-Economic and Spatial Correlations of the Eastern European Health Paradox in Hungary by Zoltán Egri, Tamás Tanczós

“…In particular, Borsod-Abaúj-Zemplén county, known as a former industrial base, should be noted here; this county is a significant and complex crisis area with regard to the health status of both genders in Hungary today. …”
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An evidence perspective on topical relevance types and its implications for exploratory and task-based retrieval by Xiaoli Huang, Dagobert Soergel

“…</b> The concept of relevance lies at the heart of intellectual access and information retrieval, indeed of reasoning and communication in general; in turn, topical relevance lies at the heart of relevance. …”
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Transforming Growth Factor Beta Family: Insight into the Role of Growth Factors in Regulation of Fracture Healing Biology and Potential Clinical Applications by Łukasz A. Poniatowski, Piotr Wojdasiewicz, Robert Gasik, Dariusz Szukiewicz

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Testing the Strength of Chaotic Systems as Seeds in a Pseudo Random Bit Generator by Lazaros Moysis, Marcin Lawnik, Christos Volos, Murilo S. Baptista, Sotirios K. Goudos, George F. Fragulis

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A Lightweight Small Target Detection Algorithm for UAV Platforms by Yanhui Lv, Bo Tian, Qichao Guo, Deyu Zhang

“…The targets in the aerial view of UAVs are small, scenes are complex, and background noise is strong. Additionally, the low computational capability of UAVs is challenged when trying to meet the requirements of large neural networks. …”
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DISKURSO SĄVOKA SOCIOLOGINIAME-ISTORINIAME AKADEMINĖS DISCIPLINOS TYRIME (metodologinės pastabos) by Liutauras Kraniauskas

“…The scope of sociological discourse analysis covers institutional development of academic organizational structures, transformations of a category of the discipline in a general taxonomy system of academic disciplines, changes of other social circumstances structuring patterns of knowledge production and composition of texts. …”
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Changes in the agriculture specialization Cherkasy region over 10 years by I. O. Zozulia

“…In particular, the noted increase of almost sixfold in the number of farms in 2024 compared to 2014 allows us to state a tendency to decrease the area of ​​an individual farm, which generally indicates the "incorporation" of land use into the existing structure of landscapes. …”
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