FORMATION OF RUSSIAN NATIONAL IDENTITY OF HIGH SCHOOL STUDENTS: HERMENEUTICAL APPROACH by Alfia F. Zakirova, Larissa A. Semenova

“…It is proved that the awareness of participants of the educational process in norms and values and their reinterpretation in the aspect of the search for a general national identity is able not just to make «expressible» some installations of the subject, but also can significantly affect his worldview, to make him more reliable and predictable partner of a social interaction. …”
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Crucial heat damage analysis and optimization of a mid-sized pickup truck based on a deep Gaussian process model by Zebin Zhang, Sisi Liu, Xianzong Meng, Tingting Wang, Shizhao Jing, Chuanrui Wang, Dongchen Qin

“…Based on simulation results, a multi-objective two-layer deep Gaussian process model predicted heat source temperatures. The positions of cooling components were optimized using a genetic algorithm with heat-sensitive locations as the objectives. …”
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Catalog of C-Paired Spin-Momentum Locking in Antiferromagnetic Systems by Mengli Hu, Xingkai Cheng, Zhenqiao Huang, Junwei Liu

“…By combining the proposed algorithm and high-throughput first-principles calculations, we predict 38 magnetic point groups and identify 142 experimentally verified AFMs that can realize CSML. …”
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Development of a Digital Model of the Agricultural Tool Working Element by V. I. Myalenko

“…The digital twin is a virtual model of the agricultural tool working element that allows you to calculate and predict its expected behavior during the entire period of operation.…”
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Antibody responses to Borrelia burgdorferi detected by western blot vary geographically in Canada. by Nicholas H Ogden, Julie Arsenault, Todd F Hatchette, Samir Mechai, L Robbin Lindsay

“…In this study, accuracy of individual proteins of the IgG WB algorithm in predicting the overall test result in samples from Canadians was assessed. …”
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Estimating the Compressive Strength of Cement-Based Materials with Mining Waste Using Support Vector Machine, Decision Tree, and Random Forest Models by Hongxia Ma, Jiandong Liu, Jia Zhang, Jiandong Huang

“…The SVM model can obtain the minimum RMSE, while the BAS algorithm is inefficient in DT and RF models. The SVM, DT, and RF models can be used to predict the compressive strength of cement-based materials using solid mining waste as aggregate effectively and accurately, with high R values and lower RMSE values. …”
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Detection of Dashboard in Fuzzy Image by Correction Force Snake Model by YU Shu-chun, DONG Jing-yi

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Proposing a short version of the Unesp-Botucatu pig acute pain scale using a novel application of machine learning technique by Giovana Mancilla Pivato, Gustavo Venâncio da Silva, Beatriz Granetti Peres, Stelio Pacca Loureiro Luna, Monique Danielle Pairis-Garcia, Pedro Henrique Esteves Trindade

“…In refinement, the algorithm with the five best-ranked behaviors had the lowest complexity and predictive capacity equivalent to the algorithm with all behaviors. …”
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Modeling and Control of a Ballbot: A Systematic Approach by Mahmoud Abdelrahim, Mahmoud A. Thabet, Hossam S. Abbas, Mohamed M. M. Hassan, Mohamed H. Amin, Abdelrahman Morsi

“…The approach demonstrates a modular, low-complexity framework suitable for both research and educational platforms. Future work may explore extending this approach to more complex dynamic environments, advanced hardware, and nonlinear intelligent control strategies such as fuzzy logic and model predictive control.…”
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A self-learning method with domain knowledge integration for intelligent welding sequence planning by Weidong Shen, Xuewen Wang, Juanli Li, Yong Wang, Xiaojun Qiao

“…With FEA as the benchmark, the maximum relative error of the welding deformation predicted by the algorithm designed to predict the welding deformation was 8%. …”
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The feasibility of endoscopic stapes surgery: A three‐dimensional planning method by Maaike Jellema, Mijs Buter, Esther E. Blijleven, Koen Willemsen, H. Chien Nguyen, Robert J. Stokroos, Inge Wegner, Henricus G. X. M. Thomeer

“…Finally, the outcomes of the pre‐operative planning and the actual procedure were directly compared to evaluate the algorithm's accuracy and usability. Results The preoperative planning method achieved an accuracy rate of 70% in predicting the need for scutum removal. …”
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Clinical performance validation and four diagnostic strategy assessments of high-sensitivity troponin I assays by Junyi Wu, Yaotong Hua, Yilin Ge, Ke Chen, Siyu Chen, Jiashu Yang, Hui Yuan

“…Both the hs-cTnI 0/1 h Algorithm and hs-cTnI 0/2 h Algorithm showed high diagnostic performance, with the 0/2 h algorithm providing the best overall. 89.0% accuracy, 93.3% sensitivity, and 73.68% F1-score. …”
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Tree Species Classification at the Pixel Level Using Deep Learning and Multispectral Time Series in an Imbalanced Context by Florian Mouret, David Morin, Milena Planells, Cécile Vincent-Barbaroux

“…Validation on independent in situ data shows that all models struggle to predict in areas not well covered by training data, but even in this situation, the RF algorithm is largely outperformed by deep learning models for minority classes. …”
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Enhanced Convolutional Neural Network for Accurate Crop Recommendation System on Climate Data by Adnan Myasar M., AI_Sadi Hafidh l., Abhilash Pideka Kundil

“…The chosen features are classified and Improved Convolutional Neural Network (ICNN) algorithm predicts crops accurately. Our model, combining the CS-ICNN framework, offers enhanced recommendations by considering both soil-specific characteristics and environmental factors. …”
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Crowd navigation monitoring during emergencies by Oksana Tymoshchuk, Maksym Tishkov, Victor Bondarenko

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Circadian phase resetting via single and multiple control targets. by Neda Bagheri, Jörg Stelling, Francis J Doyle

“…Through sensitivity analysis, we identify additional control targets whose individual and simultaneous manipulation (via a model predictive control algorithm) out-perform the open-loop light-based phase recovery dynamics by nearly 3-fold. …”
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A Rapid Design Method for Centrifugal Pump Impellers Based on Machine Learning by Y. Chen, W. Li, Y. Luo, L. Ji, S. Li, Y. Long

“…The proposed model uses neural networks to predict empirical coefficients, determine key dimensions such as the impeller’s inlet diameter, outlet diameter, outlet width, and axial distance. …”
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ONLINE LEARNING TECHNOLOGIES: CREATIVE-AUTHORIZED METHOD by L. Ushvitsky, A. Stepanov, M. Savina

“…The article suggests innovative tools and methods for delivering theoretical and practical material using Internet technologies, discloses the features of the educational process organization in the distance learning algorithm, taking into account territorial and temporary disunity using a specific set of procedures, methods and forms of educational process organization.…”
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Grasp Detection under Occlusions Using SIFT Features by Zhaojun Ye, Yi Guo, Chengguang Wang, Haohui Huang, Genke Yang

“…There are two key steps for the proposed method in the process of grasping occluded object: generating template information and grasp detection using the matching algorithm. A neural network, trained by the RGB-D data from the Cornell Grasp Dataset, predicts multiple grasp rectangles on template images. …”
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Blinded Validation of Breath Biomarkers of Lung Cancer, a Potential Ancillary to Chest CT Screening. by Michael Phillips, Thomas L Bauer, Renee N Cataneo, Cassie Lebauer, Mayur Mundada, Harvey I Pass, Naren Ramakrishna, William N Rom, Eric Vallières

“…The algorithm predicted discriminant function (DF) values in blinded replicate breath VOC samples analyzed independently at two laboratories (A and B). …”
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