OCCUPATIONAL RISK FOR EMPLOYEES OF MODERN PRODUCTION OF EPICHLOROHYDRIN IN DYNAMICS OF MEDICAL EXAMINATIONS by N. M. Meshchakova, S. F. Shayakhmetov, M. P. Dyakovich

“…The risk prevalence features have been revealed in the persons of the main occupations. …”
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Not an Illusion but a Manifestation: Understanding Large Language Model Reasoning Limitations Through Dual-Process Theory by Boris Gorelik

“…In other words, they represent not a bug but a feature of bounded rational systems. I propose empirically testable hypotheses comparing LRM token patterns with human pupillometry data. …”
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Enhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysis by Mehshan Ahmed Khan, Houshyar Asadi, Mohammad Reza Chalak Qazani, Adetokunbo Arogbonlo, Siamak Pedrammehr, Adnan Anwar, Hailing Zhou, Lei Wei, Asim Bhatti, Sam Oladazimi, Burhan Khan, Saeid Nahavandi

“…These studies mainly aim to classify low and high levels of cognitive load or distinguish between easy and difficult tasks. …”
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GPU-Based Implementation of Pruned Artificial Neural Networks for Digital Predistortion Linearization of Wideband Power Amplifiers by Wantao Li, Raul Criado, William Thompson, Gabriel Montoro, Kevin Chuang, Pere L. Gilabert

“…This paper presents a feature selection technique based on <inline-formula><tex-math notation="LaTeX">$\ell _{1}$</tex-math></inline-formula> regularization to select the most relevant weights of artificial neural networks (ANNs) for digital predistortion (DPD) linearization of wideband radio-frequency (RF) power amplifiers (PAs). …”
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Strata pressure behavior law and regional-level intelligent early warning for high-intensity mining in extended working faces of medium-thick coal seams in Yuheng mining area by Feng CUI, Cheng ZONG, Xingping LAI, Tao XIE, Yunhu BAI, Yi ZHANG, Chong JIA, Hao WANG, Zhong LUO, Hao LIU

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DP-YOLO: A Lightweight Real-Time Detection Algorithm for Rail Fastener Defects by Lihua Chen, Qi Sun, Ziyang Han, Fengwen Zhai

“…Second, we introduce a Position-Sensitive Channel Attention (PSCA) mechanism, which calculates spatial statistics (mean and standard deviation) across height and width dimensions for each channel feature map. These statistics are multiplied across corresponding dimensions to generate channel-specific weights, enabling dynamic feature recalibration. …”
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A Lightweight Multi-Scale Context Detail Network for Efficient Target Detection in Resource-Constrained Environments by Kaipeng Wang, Guanglin He, Xinmin Li

“…MSCDNet integrates three key components: the Multi-Scale Fusion Module, which improves the representation of features at various target scales; the Context Merge Module, which enables adaptive feature integration across scales to handle a wide range of target conditions; and the Detail Enhance Module, which emphasizes preserving crucial edge and texture details for detecting camouflaged targets. …”
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Graph-Based Topological Embedding and Deep Reinforcement Learning for Autonomous Voltage Control in Power System by Hongtao Wei, Siyu Chang, Jiaming Zhang

“…The method uses GCNs to extract higher-order topological features of the power grid, enhancing the state representation capability, while the SAC optimizes the load shedding strategy in continuous action space, dynamically adjusting the control scheme to balance load shedding costs and voltage stability. …”
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Acoustic response characteristics of damage and instability precursors of rocks with different lithologies by Chuangye Wang, Qingrui Sui, Xinke Chang, Yuhang Yan, Huangjin Zhu, Yu Guo

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Metastable Substructure Embedding and Robust Classification of Multichannel EEG Data Using Spectral Graph Kernels by Rashmi N. Muralinath, Vishwambhar Pathak, Prabhat K. Mahanti

“…The robustness of these features was evaluated using classifiers such as Decision Trees, Support Vector Machine (SVM), and Random Forest, on Epilepsy-EEG from the Children’s Hospital Boston’s (CHB)-MIT dataset and cognitive-load-EEG datasets from online repositories. …”
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Diagnostic value of Epstein – Barr virus DNA quantification in blood leukocytes in children with infectious mononucleosis by M. I. Popkova, E. N. Filatova, E. A. Soboleva, D. A. Bryzgalova, E. A. Kulova, N. A. Sakharnov, O. V. Utkin

“…To determine the threshold value of the Epstein-Barr virus (EBV) viral load (VL) in blood leukocytes to improve the laboratory diagnostics of infectious mononucleosis in children.Materials and methods. …”
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Analysis of the structure and energy parameters of the electrical complex (EC) of gas complex №1 «Gazprom dobycha Yamburg» LLC by L. R. Maskov, V. Y. Kornilov

“…This article discusses the fuel and energy characteristics and features of the functioning of DPP. The monthly and annual weighted average load factors were calculated and the peak currents of the ER group were determined for each DPP. …”
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The burden of a new coronavirus infection in a Children’s multidisciplinary hospital in St. Petersburg 2020–2021 by E. A. Dondurei, V. А. Kondratev, L. N. Isankina, N. Yu. Kaika, Yu. A. Gaist, V. V. Yesikov, I. M. Kosenko, V. A. Kaziakhmedov, K. V. Pshenisnov, O. V. Zabirova, S. I. Dvorak, L. V. Ivanova, O. O. Osipova, O. I. Afanasyeva, D. A. Lioznov

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Determination of the Optimal Capacity of Peaking Electric Boiler in CHP Unit by Lihua CAO, Tongyang PAN, Heyong SI, Tieliu JIANG, Xing CAO, Jinfeng ZHAO

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Mechanical properties and cracking behavior of rebar reinforced UHPC (R-UHPC) under uniaxial tension: Evaluation and design by Xianzhi Luo, Sumei Zhang, Yuchen Zhang, Yuexin Jiang

“…In order to achieve the target deformability and effectively utilize steel fibers, this study systematically investigates the mechanical properties and cracking behavior of 60 UHPC specimens featuring diverse fiber dosages (0.5 %, 1.0 %, 2.0 %, and 3.0 %) and reinforcement ratios (0 %, 1.7 %, 3.0 %, 4.7 %, and 6.8 %) under axial tensile loading. …”
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A Comparison of Conserved Features in the Human Coronavirus Family Shows That Studies of Viruses Less Pathogenic than SARS-CoV-2, Such as HCoV-OC43, Are Good Model Systems for Eluc... by Audrey L. Heffner, Tracey A. Rouault

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Tracing delay network in air transportation combining causal propagation and complex network by DaoZhong Feng, Bin Hao, JiaJian Lai

“…Additionally, the two-step SPI test employs the Kernel-based Conditional Independence test due to its suitability for handling complex data with nonlinear relationships, and it avoids explicit feature extraction. Validation of delay tracing involves the use of complex network metrics and a specially designed load-embedded metric for identifying daily states. …”
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Research on Lightweight Model of Multi-person Pose Estimation Based on Improved YOLOv8s-Pose by FU Yu, GAO Shuhui

“…Furthermore, the weighted bidirectional feature pyramid network is incorporated into the neck layer to improve the model’s feature fusion capabilities, ensuring a good balance when processing features of different scales. …”
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Dynamic Reconfiguration of Active Distribution Network Based on Improved Equilibrium Optimizer by Chaoxue Wang, Yue Zhang

“…To better address the reconfiguration problem of distribution networks with distributed generation (DG), a dynamic reconfiguration model is developed that accounts for the time-varying characteristics of both load demand and DG output. First, an enhanced fuzzy C-means clustering method is proposed for load period partitioning, which integrates spatiotemporal load features and optimal network structure similarity to improve clustering accuracy. …”
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Determination of destruction cause of experimental mill roll of stand roughing group of mill 150. by I. A. Guzova, N. A. Hodosovskaya, I. A. Kovaleva

“…Main classification features are established based on the analysis of the fracture. …”
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