Cardiometabolic risk factors in predicting obstructive coronary artery disease in patients with non-ST-segment elevation acute coronary syndrome by B. I. Geltser, M. M. Tsivanyuk, K. I. Shakhgeldyan, E. D. Emtseva, A. A. Vishnevskiy

“…A comprehensive analysis of functional and metabolic status of patients made it possible to identify the CMR factors that have linear and nonlinear association with OPCA. …”
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Improvement of Terrain Entropy Calculation for Grid Digital Elevation Models Considering Spatial Structural Features by Fangbin Zhou, Tianyi Yao, Junwei Bian, Yun Xiao

“…This method was inspired by Claramunt’s technique of weighting information entropy by the average distance between points with the same value and different values. Specifically, vectors were formed between grid points and categorized by value consistency and relative positions. …”
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WHO malaria nucleic acid amplification test external quality assessment scheme: results of eleven distributions over 6 years by Rebecca M. Thomson, Jane A. Cunningham, Michelle M. Gatton, Sean C. Murphy, Maria de la Paz Ade, Xavier C. Ding, Sandra Incardona, Eric Legrand, Naomi Lucchi, Didier Menard, Samuel L. Nsobya, Agatha C. Saez, Jaya Shrivastava, Peter L. Chiodini

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Three-Stage Bidding Strategy of Generation Company Based on Double Deep Q-Network under Incomplete Information Condition by Pengpeng YANG, Beibei WANG, Peng XU, Gaoqin WANG, Yaxian ZHENG

“…Firstly, the elements of the Markov Decision Process and action-value function in the model is defined. Secondly, the framework of the generator’s double deep Q network is established and the ε-greedy algorithm and Experience Replay Memory is adopted to train the neural network. …”
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Machine Learning for Enhanced COPD Diagnosis: A Comparative Analysis of Classification Algorithms by Walaa H. Elashmawi, Adel Djellal, Alaa Sheta, Salim Surani, Sultan Aljahdali

“…These models were applied to a dataset comprising 1603 patients after being referred for a pulmonary function test. <b>Results</b>: The RFC has achieved superior accuracy, reaching up to 82.06% in training and 70.47% in testing. …”
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Cross-Network User Identity Linkage Method with Deep Learning Based on SDNE Embedding Representation by CHENG Jialin, YUAN Deyu, SUN Zeyu, CHEN Ziyan

“…Firstly, the user relationship in the social network is extended, and then&nbsp; the idea of SDNE model is used to embed learning of user nodes in different networks, and the user nodes are mapped into a low-dimensional vector space. Secondly, the deep neural network is used to construct the mapping function to obtain the accurate expression of user nodes. …”
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Deformation anisotropy and lamellar α re-orientation of TC17 alloy under the different slip modes of HCP structure by Cong Li, Jiao Luo

“…Therein, the variation of the rotation factor with tilt angle conforms to the quadratic function, reaching a maximum value around 45°. When the rotation factor is small, the ratio of (01–11) [1–210] slip system with small Burgers vector at the phase boundary is large, the rotation tendency is poor, and the intragranular dislocation slip replaces the grain rotation as the strain accommodation mechanism, the lamella is more prone to globularization. …”
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Distribution of temperature field strength on the surface of graphene inclusions in a matrix composite by Igor V. Lavrov, Vladimir V. Bardushkin, Victor B. Yakovlev

“…Model calculations of the value for the temperature field strength at the points of the inclusion disk edge as a function of the angle between the radius vector of this point and the direction of the applied field strength were carried out. …”
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Mutable Composite Firefly Algorithm for Microarray-Based Cancer Classification by Fathima Fajila, Yuhanis Yusof

“…However, the efficiency of a swarm algorithm is dominated by certain factors such as fitness value, convergence, exploration, and exploitation capabilities. …”
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Opportunities and threats for agrifood firms. The case of wineries applying Rasch analysis by Vanessa Yanes-Estévez, Ana María García-Pérez

“…Rasch analysis and its Differential Item Functioning (DIF) were used to process the information as novel competitive analysis tools. …”
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Public management of smart cities: European experience by S. A. Zakharova

“…The author considers these processes in comparison with the Russian scientists approaches, and focuses on the important conclusion of foreign scientists that technology alone will not make the city smarter: the construction of a smart city requires a political understanding of technology, a process approach to management, an emerging smart city, and a focus on both economic benefits and other public values. The second group of articles, considered by the author, presents a more comprehensive view of the concepts of smart cities, with smart governance, combining, presumably, innovative structures and new technologies, new communication channels aimed at the constant functioning of the city management system and the environment for cooperation and citizen engagement. …”
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Opracowanie profilu kompetencji menedżera ds. internacjonalizacji branży rolno-spożywczej by Iwona Kacak, Katarzyna Skoczylas, Elif Yücel, Özge Güler

“…Agriculture, just like any other economy sector, is functioning and growing under the conditions formed mainly by the market and economic laws. …”
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Quality Evaluation of Culture-Tourism Integration Based on a 3E Multi-Dimensional Subjective&#x2013;Objective Hybrid Weighting Method by Lingyun Huang, Zhanqi Li

“…The framework is highly adaptable and offers significant value for urban planning, cultural resource management, and strategic tourism development across diverse contexts.…”
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Identifying and Mapping Challenges of Industrial-to-Aviation Transformation Through Aczel–Alsina and Grey DEMATEL-ISM Analysis by Chih-Wei Chien, Jiann-Haw Liou, Sun-Weng Huang

“…Our approach employed grey numbers to address individual uncertainty and utilized the Aczel–Alsina function to integrate expert opinions while accounting for inter-expert disagreements. …”
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Rehabilitation effect on psycho-emotional well-being in women with surgically treated vulvar cancer: a randomised controlled trial by Blinov V. Dmitry, Antonina G. Solopova, Elena V. Gameeva, Nazim G. Badalov, Vsevolod N. Galkin, Mikhail A. Eremushkin, Alexandra M. Stepanova, Alexander E. Ivanov, Olga S. Gridasova

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A double-layer model for improving the estimation of wheat canopy nitrogen content from unmanned aerial vehicle multispectral imagery by Zhen-qi LIAO, Yu-long DAI, Han WANG, Quirine M. KETTERINGS, Jun-sheng LU, Fu-cang ZHANG, Zhi-jun LI, Jun-liang FAN

“…., multiple stepwise regression (MSR), support vector regression (SVR), gradient boosting decision tree (GBDT), Gaussian process regression (GPR), back propagation neural network (BPNN) and radial basis function neural network (RBFNN), were compared for the retrieval of winter wheat LAI, CPP and CNC values, and a double-layer model was proposed for estimating CNC based on LAI and CPP. …”
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Combined formаtion of a cryptographic key using synchronized artificial neural networks by M. L. Radziukevich, V. F. Golikov

“…As a convolution function, the bitwise addition modulo 2 of the vectors of the weights of the networks is used. …”
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Different MRI-based radiomics machine learning models to predict CD3+ tumor-infiltrating lymphocytes in rectal cancer by Weili Ma, Chuanling Hou, Minxia Yang, Yuguo Wei, Jiwei Mao, Le Guan, Zhenhua Zhao

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Robust EEG Characteristics for Predicting Neurological Recovery from Coma After Cardiac Arrest by Meitong Zhu, Meng Xu, Meng Gao, Rui Yu, Guangyu Bin

“…Among these, low-frequency long-distance functional connectivity (45%) was associated with a poor prognosis, whereas high-frequency short-distance functional connectivity (25%) was linked with a good prognosis. …”
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International Natural Uranium Price Prediction Based on TF-CNN-BiLSTM Model by YANG Jingzhe, XUE Xiaogang

“…The study meticulously constructed and trained the TF-CNN-BiLSTM model using TensorFlow with the Adam optimizer and mean squared error loss function. The training process was optimized with learning rate reduction and early stopping callbacks to prevent overfitting. …”