Various mechanisms of myocardial necrosis development due to combat injury as a reason for discussion: a case series by I. M. Lovkin, N. M. Sydorova, A. P. Kazmirchuk, L. L. Sydorova, K. I. Tabakar, M. I. Mandzii

“…The aim of this publication was to demonstrate, using the example of a case series, the relevance of the problem of terminology, diagnosis, and treatment of myocardial infarction caused by a combat injury. …”
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Gender differences in neurocognitive impairment among first-episode, drug-naïve schizophrenia patients: a cross-sectional study by Qing Zhang, AiMin Sui, Min Su, MingLiang Ju, YanYan Wei, XiaoChen Tang, LiHua Xu, HuiRu Cui, YingYing Tang, ZhengHui Yi, HaiChun Liu, Jin Gao, JiJun Wang, JiJun Wang, TianHong Zhang

“…IntroductionCognitive impairment is a core feature of first-episode schizophrenia (FES), yet the influence of biological sex on its manifestation remains under characterized. …”
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DLML-PC: an automated deep learning and metric learning approach for precise soybean pod classification and counting in intact plants by Yixin Guo, Jinchao Pan, Xueying Wang, Hong Deng, Hong Deng, Mingliang Yang, Mingliang Yang, Enliang Liu, Qingshan Chen, Qingshan Chen, Rongsheng Zhu, Rongsheng Zhu

“…SE-ResNet50 was used as the feature extraction network, and its accuracy on the test set reached 93.7%. …”
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Implicit and automatic modeling method for complex coal seam geological bodies integrating fault potential fields by Deyun ZHONG, Liguan WANG

“…To solve the geological modeling problem of coal seams with complex fault networks, based on the non-stationary geostatistical theory and implicit modeling potential field interpolation theory, a Radial Basis Function (RBF) interpolation theory with additional external drift and a three-dimensional automatic modeling method are proposed for coal seam geological body with additional fault potential field. …”
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Intelligent voice assistant as an example of inclusive design methodology implementation by A. A. Zakharov, I. G. Zakharova, A. M. Shabalin, Sh. I. Khanbekov, D. B. Dzhalilzoda

“…The authors have clarified the content of the concept of “inclusive design” in the context of digital educational resources, when the key feature is the focus on continuous improvement of the didactic capabilities of a particular product. …”
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Large Gradient Subsidence Monitoring in Mining Area Based on LuTan-1 SAR Images by X. Zhang, H. Zhao, X. Tang, T. Li, X. Zhou, X. Zhang

“…Large gradient subsidence induced by coal mining generally results in limited applicability of interferometric synthetic aperture radar technique, and even fails to obtain complete and reliable deformation details for mining area. To solve this problem, the LuTan-1 SAR data with L-band and high spatial temporal resolution were employed for coal mining area deformation monitoring. …”
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Effect of Oak Wood Aging on Chemical Composition of Wheat Distillate by Natalya V. Shelekhova, Irina M. Abramova, Tamara M. Shelekhova, Liubov I. Skvortsova, Natаlya V. Poltavskaya

“…This process needs intensification, and this problem remains understudied despite numerous scientific publications. …”
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Rancang Bangun Aplikasi Mathgeo sebagai Media Pembelajaran Dimensi Tiga Berbasis Mobile by Santi Yunika Sufiana, Ahmad Afif Supianto, Komang Candra Brata

“…Compatibility testing is carried out using the Firebase Test Lab feature, resulting in 6 android versions running the application well on a minimum version 7.0 (Nougat) and a maximum version 10 (Android Q). …”
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Experimental Study of a New Metallic Damper Using Hourglass Fuse by Mohammad Hossein Afridoon, Reza Aghayari, Mohammad Hosein Adibrad, Mehrzad Tahamouliroudsari

“…The specimens were subjected to drift levels beyond the expected design ones to identify their complete behavior and all possible failure modes. The main feature of the proposed damper is replaceable hourglass shape pins (HSP) fuse. …”
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Application of Logistic Regression to Analyze The Economic Efficiency of Vehicle Operation in Terms of the Financial Security of Enterprises by Malgorzata Grzelak, Paulina Owczarek, Ramona-Monica Stoica, Daniela Voicu, Radu Vilău

“…<i>Background</i>: A measurable feature of the efficiency of vehicle use in transportation companies is the revenue from transport orders, which has a significant impact on their profitability. …”
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Glioma Grade Classification: Hypertuned CNN With Saliency-Based Insight From MRI by Khondakar A. Shahriar, Enamul H. Bhuiyan, Md. Forhad Hossain, Rakibur Rahman, Muhammad E. H. Chowdhury

“…While hyperparameter tuning is well-established, its tailored application to this dataset and problem domain improves performance and reproducibility. …”
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The organization of interaction of subjects of educational process when using platforms of distance learning by F. S. Mukhametzyanova, A. R. Kamaleeva, S. Yu. Gruzkova, R. R. Hadiullina

“…Characteristics «the subject - subject» interactions are described in case of remote form of education: an active position trained in the course of activities, equality of persons training and trained, the joint problem resolution, game, dialogue, work in microgroups, admissibility of coexistence and acceptance of the opposite points of view. …”
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Role of Design Thinking in Guiding Innovation Through Influencing Knowledge Bases by Amir Masoud Faridizad, Hasan Rezvan

“…Design thinking is introduced as a method to achieve innovation in conditions with high uncertainty and complexity. This feature has led this method to innovations welcomed by companies operating in unknown and turbulent markets. …”
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Design Optimization of Valve Assemblies in Downhole Rod Pumps to Enhance Operational Reliability in Oil Production by Seitzhan Zaurbekov, Kadyrzhan Zaurbekov, Doszhan Balgayev, Galina Boiko, Ertis Aksholakov, Roman V. Klyuev, Nikita V. Martyushev

“…To mitigate this issue, a novel valve assembly design was developed featuring a flow turbulizer positioned beneath the valve seat. …”
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Machine Learning in Cyber-Physical Systems and Manufacturing Singularity – it Does Not Mean Total Automation, Human Is Still in the Centre: Part I – Manufacturing Singularity and a... by Goran D. PUTNIK, Vaibhav SHAH, Zlata PUTNIK, Luis FERREIRA

“…Also, a discussion of the problem from the manufacturing community point of view on future of human role in Industry 4.0 as the environment for advanced AI/ML applications is included in this part.…”
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MSS-YOLO: Multi-Scale Edge-Enhanced Lightweight Network for Personnel Detection and Location in Coal Mines by Wenjuan Yang, Yanqun Wang, Xuhui Zhang, Le Zhu, Tenghui Wang, Yunkai Chi, Jie Jiang

“…By designing a Multi-Scale Edge Enhancement (MSEE) module and fusing it with the C2f module, the performance of the network for personnel feature extraction under high-dust or long-distance conditions is effectively enhanced. …”
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Optimizing XGBoost Hyperparameters for Credit Scoring Classification Using Weighted Cognitive Avoidance Particle Swarm by Atul Vikas Lakra, Sudarson Jena, Kaushik Mishra

“…The optimal hyperparameter values for the XGBoost model can vary significantly depending on the specific problem at hand. Manually setting these hyperparameters can be a time-consuming process. …”
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SURPLUS MONEY ECONOMY by Sergii V. Kuzminov, Alisa S. Maghdich, Svitlana O. Gerashchenko

“…The dynamics of the ratio of the money supply to the manufactured product can serve as an indicator of the existence of a problem in the monetary supply of the functioning of the world economy. …”
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Predictors of Outcome in Traumatic Brain Injury: New Insight Using Receiver Operating Curve Indices and Bayesian Network Analysis. by Zsolt Zador, Matthew Sperrin, Andrew T King

“…<h4>Background</h4>Traumatic brain injury remains a global health problem. Understanding the relative importance of outcome predictors helps optimize our treatment strategies by informing assessment protocols, clinical decisions and trial designs. …”
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Multi-label semantic segmentation of magnetic resonance images of the prostate gland by Mark Locherer, Christopher Bonenberger, Wolfgang Ertel, Boris Hadaschik, Kristina Stumm, Markus Schneider, Jan Philipp Radtke

“…Especially freely available labeled prostate magnetic resonance imaging data is rare. With regard to this problem, we show a method to combine two existing small datasets to form a bigger one. …”
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