INDIVIDUAL STYLE OF PROFESSIONAL ACTIVITY OF FUTURE PSYCHOLOGISTS: ESSENCE AND WAYS OF FORMATION IN THE EDUCATIONAL PROCESS OF A HIGHER EDUCATION INSTITUTION by Volkova Nataliia, Bykova Viktoriia

“…The individual style of professional activity of future psychologists is presented as an integral personal formation that determines the individual strategy and tactics of organizing psychological activity and ensures productivity and optimal solution of professional tasks. …”
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DSCW-YOLO: Vehicle Detection from Low-Altitude UAV Perspective via Coordinate Awareness and Collaborative Module Optimization by Qingqi Zhang, Hao Wang, Xinbo Wang, Jiapeng Shang, Xiaoli Wang, Jie Li, Yan Wang

“…The proposed algorithm enhances the model’s local feature extraction capability through a module collaboration optimization strategy, integrates coordinate convolution to strengthen spatial perception, and introduces a small object detection head to address target size variations caused by altitude changes. …”
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THE RESULTS OF THE SURVEY OF OBSTETRICIAN-GYNECOLOGISTS AND ASSESSMENT OF THEIR LEVEL OF PREPAREDNESS ON THE ISSUES OF QUALITY OF MEDICAL CARE by K. V. Yaroslavskiy, N. G. Petrova

“…Based on the results of the study, recommendations were developed to optimize the training of personnel in the maternity hospital on the quality of medical care and to improve the quality management in the Organization. …”
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Linear B-cell epitope prediction for SARS and COVID-19 vaccine design: Integrating balanced ensemble learning models and resampling strategies by Fatih Gurcan

“…The implemented resampling methods were designed to improve class balance and enhance model training. The rebalanced datasets were then used in model building with ensemble classifiers employing Boosting, Bagging, and Balancing strategies. …”
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Enhanced recovery after surgery-guided strategies in single-incision laparoscopic totally extraperitoneal hernioplasty for inguinal hernia: a narrative review by Yi Jin, Hongqun Zhang, Yuping Chen, Chunyan Zhang, Yan Lin, Zhuoyin Wang

“…ObjectiveTo investigate the clinical efficacy and implementation challenges of single-port laparoscopic total extraperitoneal hernia repair (SIL-TEP) combined with enhanced recovery after surgery (ERAS) in the treatment of inguinal hernia.MethodsThis review summarized the technical advantages of SIL-TEP in reducing postoperative pain, accelerating functional recovery and improving cosmetic results compared with traditional three-port TEP. The perioperative strategies under eras concept were further discussed, including preoperative nutrition optimization, laryngeal mask airway (LMA) use, early oral feeding, multimodal analgesia and timely removal of urinary catheter.ResultsSIL-TEP combined with ERAS had significant clinical benefits, including decreased pain score at 24 h after operation, shortened recovery time of daily activities, and improved patient satisfaction with incision appearance. …”
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Detection of human activities using multi-layer convolutional neural network by Essam Abdellatef, Rasha M. Al-Makhlasawy, Wafaa A. Shalaby

“…By leveraging advanced feature extraction and optimized learning strategies, the proposed model demonstrates its efficacy in achieving accuracy of 97.87%, 99.12%, 96.58%, and 98.51% for various human activities datasets; UCI-HAR, KU-HAR, WISDM, and HMDB51, respectively. …”
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Resilient VPP cost optimization in DER-driven microgrids for large distribution systems considering uncertainty during extreme events by T.D. Suresh, M. Thirumalai, R. Hemalatha, Mohit Bajaj, Vojtech Blazek, Lukas Prokop

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Unmanned Aerial Vehicle-Enabled Aerial Radio Environment Map Construction: A Multi-Stage Approach to Data Sampling and Path Planning by Junyi Lin, Hongjun Wang, Tao Wu, Zhexian Shen, Ruhao Jiang, Xiaochen Fan

“…To obtain the shortest flight path for selected sampling positions, we employ a network structure based on self-attention as the policy network, which is trained through the actor–critic framework to obtain an improvement heuristic strategy, replacing traditional manually designed strategies. …”
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Sub-Optimal Chronic Obstructive Pulmonary Disease (COPD) Management in India: Findings from a Community-Based Study by Jarhyan P, Hutchinson A, Khatkar R, Prabhakaran D, Mohan S

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Healer-led vs. clinician-led training to improve personal protective equipment use among traditional healers in South Africa: a randomized controlled trial protocol by Carolyn M. Audet, Bryan E. Shepherd, Muktar H. Aliyu, Mosa Moshabela, Mariah J. Pettapiece-Phillips, Ryan G. Wagner

“…We will test our two intervention strategies to identify an optimal strategy for PPE education in a region with high HIV prevalence.…”
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Intralesional and perilesional radiomics strategy based on different machine learning for the prediction of international society of urological pathology grade group in prostate ca... by Zhiping Li, Liqin Yang, Ximing Wang, Huijing Xu, Wen Chen, Shuchao Kang, Yasheng Huang, Chang Shu, Feng Cui, Yongsheng Zhang

“…Four machine learning classifiers logistic regression (LR), random forest (RF), extra trees (ET), and multilayer perceptron (MLP) were employed for model training and evaluation to select the optimal model. …”
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Data-driven machine learning with lattice distortion and thermodynamic parameters guided strength optimization of refractory high-entropy alloys by Shujian Ding, Yifan Zhang, Siyang Lei, Xiang Weng, Wenhui Li, Wei Ren, Jian Chen, Weili Wang

“…The LightGBM algorithm was utilized to train the model based on a RHEA yield strength dataset. …”
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Adaptive Throughput Optimization in Multi-Rate IEEE 802.11 WLANs via Multi-Agent Deep Reinforcement Learning by Ming-Chu Chou, Cheng-Feng Hung, Chin-Ya Huang, Chih-Heng Ke

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Intrusion Detection Using Hybrid Pearson Correlation and GS-PSO Optimized Random Forest Technique for RPL-Based IoT by Wei Yang, Xinlong Wang, Zhiming Zhang, Shaolong Chen, Chengqi Hou, Siwei Luo

“…And we develop feature extraction algorithms for dataset to extract 24 features implementing in IDS model training. Second, we propose an efficient routing detection method that accelerates model training speed by using Hybrid Pearson Correlation and GS-PSO(Grid Search-Particle Swarm Optimization) Optimized Random Forest Technique. …”
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Classroom Disruptions and Classroom Management in Learning Factory Settings at Vocational Schools by Pierre Meinokat, Ingo Wagner

“… Context: As part of vocational education and training, learning factories are a new, hands-on learning setting in which students can create products with realistic digital manufacturing equipment while still in vocational school. …”
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Enhancing financial literacy and economy in maritime management education: The role of case studies and simulations by Agung Kwartama

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Bridging Simulation and Practice in Medical History Taking: A Comprehensive Needs Assessment of Standardized Patient Competencies in Early Clinical Exposure by SANI BAIMAI, VORAWAN VANICHAROENCHAI, CHERDSAK IRAMANEERAT

“…However, optimizing SP effectiveness requires a systematic assessment of their competencies.Methods: This study employed a cross-sectional survey design to identify competency gaps in SPs and key areas for improvement to enhance their role in medical training during ECE. …”
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Enhancing the decision optimization of interaction design in sustainable healthcare with improved artificial bee colony algorithm and generative artificial intelligence. by Shuhui Yu, Xin Guan, Xiaoyan Peng, Yanzhao Zeng, Zeyu Wang, Xinyi Liang, Tianqiao Qin, Xiang Zhou

“…This study proposes an improved Artificial Bee Colony (ABC) algorithm aimed at optimizing decision-making models in the field of digital health. …”
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Optimizing High-Speed Railroad Timetable with Passenger and Station Service Demands: A Case Study in the Wuhan-Guangzhou Corridor by Jin Wang, Leishan Zhou, Yixiang Yue, Jinjin Tang, Zixi Bai

“…This algorithm solves the linear relaxation of all nodes in a branch-and-bound tree using a column generation algorithm to derive a lower-bound value (LB) and derive an upper-bound value (UB) using a rapid branching strategy. The optimal solution is derived by iteratively updating the upper- and lower-bound values. …”
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Optimizing Recruitment and Retention in Cancer Clinical Trials in Low-Resource Settings: Barriers and Facilitators From Nigerian Provider's Perspectives by Babayemi O. Olakunde, Ngozi Idemili-Aronu, Tara M. Friebel-Klingner, Adaeze Chike-Okoli, Ijeoma U. Itanyi, Tonia C. Onyeka, Kimberly Levinson, Anne F. Rositch, Richard B.S. Roden, Tzyy-Choou Wu, Echezona E. Ezeanolue

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