Finding a New Balance Point: Intelligent Optimization of Multi-Target Cognitive Electronic Reconnaissance Strategy for Unmanned Aerial Vehicles by Yun Zhang, Shixun You, Yunbin Yan, Qiaofeng Ou, Xiang Zhu

“…Finally, a deep reinforcement learning framework based on partially observable Markov processes is built, while a modular scenario pre-training method is used to improve the convergence of the policy network in the case of sparsely distributed high-quality samples. …”
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Is there a peer effect on corporate ESG performance? Evidence from China’s capital market by Longsheng Xi, Hongjie Bian, Xingyu Wang

“…How enterprises can reasonably and effectively improve their ESG performance and promote their green and sustainable development has become a major practical problem that urgently needs to be solved. Based on social learning and dynamic competition theories, this study takes Shanghai-Shenzhen A-share listed companies from 2011 to 2021 as research samples, empirically tests whether there is a peer effect in the ESG performance of listed companies in China, and examines the generation mechanism and influencing factors of the peer effect in the ESG performance of enterprises. …”
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Aprender a manejar los conflictos en las clases de educación física a partir del juego deportivo: un modelo de enseñanza para la comprensión (Learning to manage conflicts in physi... by Robert Cebolla-Baldoví, Laura García-Raga

“…In the PE context, it is concluded that the tactical-sports method could be an alternative to educate positive conflict management, enabling students to face communication barriers and learn to counteract their destructive stereotypes. …”
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Seed purity assessment by means of spectral imaging by G.V. Nesterov, A.V. Guryleva, A.A. Zolotukhina, D.S. Fomin, D.S. Fomin, Y.K. Shashko, A.S. Machikhin

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Identifying Factors Affecting Self-Development of Iranian TV School Teachers: Report of A Qualitative Study by abbas mohammadi, maede arshadrad

“…Taking advantage of the self-development model of teachers and the necessary support for them, training teachers with a focus on changing attitudes towards the goals and new methods of education, self-development skills of knowledge, the way of looking at the teaching profession and acquiring specialized and comprehensive skills, holding empowerment courses for teachers of Iran's television school, a deeper look at the needs and motivations of television teachers' self-development, teachers' use of their colleagues' experiences to enrich teaching and students' teaching-learning, sufficient teachers' studies in the field of teaching psychology and audience recognition, having an attractive expression technique and tone in teaching, acquiring computer skills such as making PowerPoint, using educational videos in the web environment and related services, forming a positive attitude and a developmental attitude towards the nature and mission of the teaching profession, paying attention to the model of teachers' self-development output, and laying the groundwork for advancing its goals, using teaching methods and flexible training as required by the teacher, practicing the teaching process before the main performance in the television school, being in the studio environment earlier and checking the location of oneself and the cameras to increase self-control are among the executive suggestions of the present research. …”
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IDNet: A Diffusion Model-Enhanced Framework for Accurate Cranio-Maxillofacial Bone Defect Repair by Xueqin Ji, Wensheng Wang, Xiaobiao Zhang, Xinrong Chen

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The PANEN nomogram: clinical decision support for patients with metastatic pancreatic neuroendocrine neoplasm referred for peptide receptor radionuclide therapy by Aviral Singh, Aviral Singh, Aviral Singh, Sebastian Sanduleanu, Harshad R. Kulkarni, Thomas Langbein, Philippe Lambin, Richard P. Baum

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Research on target localization and adaptive scrubbing of intelligent bathing assistance system by Ping Li, Ping Li, Shikai Feng, Hongliu Yu

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Radiomics with Clinical Data and [¹⁸F]FDG-PET for Differentiating Between Infected and Non-Infected Intracavitary Vascular (Endo)Grafts: A Proof-of-Concept Study by Gijs D. van Praagh, Francine Vos, Stijn Legtenberg, Marjan Wouthuyzen-Bakker, Ilse J. E. Kouijzer, Erik H. J. G. Aarntzen, Jean-Paul P. M. de Vries, Riemer H. J. A. Slart, Lejla Alic, Bhanu Sinha, Ben R. Saleem

“…<b>Objective:</b> We evaluated the feasibility of a machine-learning (ML) model based on clinical features and radiomics from [¹⁸F]FDG PET/CT images to differentiate between infected and non-infected intracavitary vascular grafts and endografts (iVGEI). …”
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Evaluation of the effect of satellite motion on GNSS-R wind speed retrieval: insights from TRITON by Ming-Yi Chen, Hwa Chien, Hwa Chien, Wen-Hao Yeh, Li-Ching Lin, Yu-Fu Liou

“…Leveraging a deep learning-based framework, we empirically demonstrate that unaccounted-for Vrel can introduce systematic misinterpretations of surface roughness, likely due to DDM distortion. …”
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The VMD-Informer-BiLSTM-EAA Hybrid Model for Predicting Zenith Tropospheric Delay by Zhengdao Yuan, Xu Lin, Yashi Xu, Ruiting Dai, Cong Yang, Lunwei Zhao, Yakun Han

“…Developing a high-accuracy ZTD prediction model is essential for both GNSS positioning and GNSS meteorology. To address the challenges of incomplete information extraction and gradient explosion present in current single and combined neural network models that utilize serial ensemble learning, this study proposes a VMD-Informer-BiLSTM-EAA hybrid model based on a parallel ensemble learning strategy. …”
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Dual-Branch Diffusion Detection Model for Photovoltaic Array and Hotspot Defect Detection in Infrared Images by Ruide Li, Wenjun Yan, Chaoqun Xia

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Association between the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and angina pectoris in US adults: a cross-sectional retrospect... by Ying Cui, Mankyu Choi

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The Task of Detecting Unacceptable Information Security Events in the Information Infrastructure by Darya A. Evdokimova, Andrey A. Mikryukov

“…As cyber threats grow more complex and diverse, traditional detection methods are becoming increasingly ineffective, necessitating improvements in existing technologies to protect information systems.The novelty of the proposed solutions lies in improving the accuracy of detecting unacceptable events through the use of machine learning methods and a neural network classifier, as well as reducing response time by utilizing the Elastic Stack tool for data collection, processing, aggregation, and visualization.Materials and methods. …”
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PSYCHOLOGICAL INVOLVEMENT AS A BASIS FOR STIMULATING THE ACTIVITY OF STUDENTS OF DEPARTMENTAL UNIVERSITIES by Natalia E. Serebrovskaya, Maria P. Shcherbakova, Darya M. Gnezdilova

“…Materials and methods. The study included an elaborated psychological survey based on query of 175 cadets of the Nizhny Novgorod Academy of Internal Affairs, segmented into three age groups (18-19, 20-21, 22-23 years). …”
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RSCIWANet: Regional Spatial-Channel Information Weighted Attention Network for Video SAR and Large-Scale SAR Image Targets Detection by Hao Chang, Ping Lang, Xiongjun Fu, Kunyi Guo, Xinqing Sheng, Jialin Guan, Chuyi Liu

“…Synthetic aperture radar (SAR) encounters distinct challenges in airborne surveillance (dynamic scene variations, target edge blurring) and spaceborne observation (large-scale analysis, high-resolution processing). Both traditional methods and contemporary deep learning-based solutions exhibit limitations: inadequate dynamic target adaptability, weak small-target detection, and redundant recognition in large-scale scenarios, stemming from challenges like target ambiguity, occlusion, and interclass similarity. …”
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Enhanced Indoor Pedestrian Tracking Using UWB/PDR Fusion and NLOS Error Mitigation by Shoude Wang, Nur Syazreen Ahmad

“…Experimental results demonstrate that the proposed integrated system substantially outperforms standalone UWB or EKF-based methods, achieving marked improvements in positioning accuracy and underscoring its effectiveness in delivering robust and precise indoor localization.…”
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Dynamics of educational activity of students under the influence of digitalisation by D. Yu. Narkhov, E. N. Narkhova, D. V. Shkurin

“…The fixation of qualitative changes in educational activity in non-standard conditions, along with the development of a theoretical basis for the digital educational community of students, is necessary for making qualified managerial decisions.The aim of the present research was to identify the factors and dynamics of students as a digital educational community in the context of self-isolation and online learning.Methodology and research methods. This study is based on the use of specific approaches to industry-specific sociological knowledge (youth and education): community, system, structural-functional, institutional, temporal, thesaurus, network, panoramic (pedagogical science). …”
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SFEF-Net: Scattering Feature Extraction and Fusion Network for Aircraft Detection in SAR Images by Qiang Zhou, Zongxu Pan, Ben Niu

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Radiomics Analysis of Breast MRI to Predict Oncotype Dx Recurrence Score: Systematic Review by Nathan Kim, Richard Adam, Takouhie Maldjian, Tim Q. Duong

“…We also discussed lessons learned and suggested future research directions. …”
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