Requirements for Police Officer’s Personality in Terms of Globalization and the Implementation of International Standards of Law Enforcement Officers’ Conduct by D. V. Shvets, N. O. Rastorguyeva

“…It has been concluded that the educational process in higher educational institutions of the Ministry of Internal Affairs of Ukraine given the current requirements and threats, as well as taking into account the provisions of international law enforcement standards, should be aimed at: 1) providing in-depth study of international human rights standards and law enforcement officers conduct in order to guarantee a positive development of future police officer’s personality; 2) updating and expanding the methods of problem-based learning in order to form the competencies provided by international standards of law enforcement activity; 3) using interactive forms, methods and innovative tools that allow to form the relevant personal qualities of police officers by modeling situations of professional activity; 4) practical training on the use of force and its permissible limits in terms of the principles established in the field of human rights, in particular in the European Convention on Human Rights, and in relevant law enforcement practice, which should be a part of police professional training at all levels.…”
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Hybrid optimized artificial neural network using Latin hypercube sampling and Bayesian optimization for detection, classification and location of faults in transmission lines by Abdul Yussif Seidu, Elvis Twumasi, Emmanuel Assuming Frimpong

“…Using the strategic insight of LHS, optimal initial points were determined, which subsequently formed the basis for the Bayesian optimization to further refine the learning rate and training epochs. Within the fault detection domain, the model showcased remarkable precision when deployed on an evaluation dataset of 168 cases, accurately detecting every instance of normal and faulty scenarios. …”
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CMACGSA: Improved Gravitational Search Algorithm Based on Cerebellar Model Articulation Controller for Optimization by Nazmiye Ebru Bulut, Emre Dandil, Ugur Yuzgec, Alpaslan Duysak

“…By employing the CMAC neural network, CMACGSA dynamically learns the masses of particles/agents of GSA, enabling a learning-driven approach to mass computation. …”
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YAP1 as a Novel Negative Biomarker of Immune Checkpoint Inhibitors for EGFR-Mutant Non-Small-Cell Lung Cancer by Ling-Chen Li, Xie-Wan Chen, Ling Fang, Chun-Li Jian, Yong-Xin Yu, Xing-Yun Liao, Jian-Guo Sun

“…The infiltration of immune cells and the expression of the identified tumor-associated antigens were identified with TIMER. By graph learning-based dimensionality reduction analysis, the immune landscape was visualized. …”
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Peripheral nerve injury induces dystonia-like movements and dysregulation in the energy metabolism: A multi-omics descriptive study in Thap1+/− mice by Colette Reinhold, Susanne Knorr, Rhonda L. McFleder, Lisa Harder-Rauschenberger, Tom Gräfenhan, Andreas Schlosser, Michael Sendtner, Jens Volkmann, Chi Wang Ip

“…Phenotypic analysis using an unbiased deep learning algorithm revealed that nerve-injured Thap1+/− mice exhibited significantly more dystonia like movements (DLM) over the course of the 12-week experiment compared to naive Thap1+/− mice. …”
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Prediksi Rating Film IMDb Menggunakan Decision Tree by Rifqy Rosdiyah Ilmi, Fachrul Kurniawan, Sri Harini

“…Prediction of movie ratings values can be modeled through machine learning using the decision tree model. From this research, it can be concluded that the popularity of the film and the value of user votes on the IMDb page have an effect on the film rating value. …”
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Augmented virtuality technology in education: taxonomy of augmented virtuality types by Alexandr V. Grinshkun, Anastasia S. Zakova

“…The choice depends on the educational task and learning conditions. Conclusion. The augmented virtuality usage in education gives an opportunity to place a student into a virtual environment and increase the realism of the educational simulation significantly (in comparison with virtual reality technology) by maintaining the interaction with the real world. …”
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Long-Term Follow-Up of Patients with 46,XY Partial Gonadal Dysgenesis Reared as Males by Juliana Gabriel Ribeiro de Andrade, Antonia Paula Marques-de-Faria, Helena Campos Fabbri, Maricilda Palandi de Mello, Gil Guerra-Júnior, Andréa Trevas Maciel-Guerra

“…Though additional studies are required, screening for learning disabilities is advisable.…”
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Electroacupuncture regulates ferroptosis to improve postoperative cognitive dysfunction in mice through mediating GRX1/GSK-3β/Nrf2 axis by Xiaqing Zhang, Afen Zhang, Rui Li, Mingna Jiao, Rou Wen, Rongzhi Zheng

“…Results: Our findings revealed that partial hepatectomy surgery impaired learning and memory ability of mice, promoted ferroptosis. inhibited GRX1 and inactivated GSK-3β/Nrf2 pathway. …”
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Diabetes Education Program for Nursing Students: A Systematic Review and Meta‐Analysis by Jeong‐Ah Ahn, Eun‐Mi Kim, Jung Eun Lee, Kyoung‐A Kim

“…Regarding the evaluation of diabetes education program effectiveness, the majority of studies showed significant improvements in knowledge (n = 8, 61.5%), followed by satisfaction with learning (n = 4, 30.8%), nursing skill performance (n = 3, 23.1%), and self‐confidence (n = 3, 23.1%) in nursing students. …”
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SVFRH: A Growth Stage-Based Compartmental Model for Predicting the Disease Incident in Tomato (Solanum lycopersicum) by Athira P. Shaji, S. Hemalatha

“…Over decades, research has primarily focused on addressing these challenges through computer vision and deep learning techniques. In this work, we employ a comprehensive modelling approach that combines compartmental and logistic regression models to thoroughly address disease dynamics in tomato crops, with a particular focus on tomato early blight diseases. …”
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A Dual-Stage Processing Architecture for Unmanned Aerial Vehicle Object Detection and Tracking Using Lightweight Onboard and Ground Server Computations by Odysseas Ntousis, Evangelos Makris, Panayiotis Tsanakas, Christos Pavlatos

“…The UAV transmits selected frames to the ground server, which handles advanced tracking, trajectory prediction, and target repositioning using state-of-the-art deep learning models. Communication between the UAV and the server is maintained through a high-speed Wi-Fi link, with a fallback to a 4G connection when needed. …”
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Precision Adverse Drug Reactions Prediction with Heterogeneous Graph Neural Network by Yang Gao, Xiang Zhang, Zhongquan Sun, Payal Chandak, Jiajun Bu, Haishuai Wang

“…Next, a GNN‐based model is utilized to learn latent representations of the patient nodes and facilitate the propagation of information throughout the graph structure. …”
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How to Coordinate Urban Ecological Networks and Street Green Space Construction? Insights from a Multi-Scale Perspective by Shujun Hou, Ying Yu, Taeyeol Jung, Xin Han

“…This study examines the area within Chengdu’s Third Ring Road, employing the following methodologies: (1) constructing the regional ecological network using Morphological Spatial Pattern Analysis (MSPA), the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model, and circuit theory; (2) analyzing the street green view index (GVI) through machine learning semantic segmentation techniques; and (3) identifying key areas for the coordinated development of urban ecological networks and street green spaces using bivariate spatial correlation analysis. …”
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Determinants of burnout syndrome among undergraduate nursing students in Poland: a cross-sectional study by Katarzyna Szwamel, Wiesława Kowalska, Ewa Mazur, Anna Janus, Iwona Bonikowska, Justyna Jasik-Pyzdrowska

“…Burnout may affect the learning process, achieving professional skills, and future effectiveness while working with a patient and, eventually, might lead to the decision to quit the job. …”
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GS-DTA: integrating graph and sequence models for predicting drug-target binding affinity by Junwei Luo, Ziguang Zhu, Zhenhan Xu, Chuanle Xiao, Jingjing Wei, Jiquan Shen

“…GATv2-GCN enhances the model’s ability to focus on important nodes by assigning dynamic attention scores, which improves the learning of the graph structure’s intricate patterns. …”
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Syngap1 promotes cognitive function through regulation of cortical sensorimotor dynamics by Thomas Vaissiere, Sheldon D. Michaelson, Thomas Creson, Jessie Goins, Daniel Fürth, Diana Balazsfi, Camilo Rojas, Randall Golovin, Konstantinos Meletis, Courtney A. Miller, Daniel O’Connor, Lorenzo Fontolan, Gavin Rumbaugh

“…Cortical Syngap1 expression was necessary and sufficient for setting tactile sensitivity, sustaining tactile object exploration, and promoting tactile learning. Mice with deficient Syngap1 expression exhibited impaired neural dynamics induced by exploratory touches within a cortical-thalamic network that promotes attention and perception. …”
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Viability of black currant pollen before and after cryopreservation in liquid nitrogen, and its morphological features by O. A. Tikhonova, O. A. Gavrilova, E. A. Radchenko, V. G. Verzhuk, A. V. Pavlov

“…Background. Learning about morphological and biological features of pollen is very important to make correct estimations of plant productivity and breeding efficiency.Materials and methods. …”
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An Efficient CNN Model for COVID-19 Disease Detection Based on X-Ray Image Classification by Aijaz Ahmad Reshi, Furqan Rustam, Arif Mehmood, Abdulaziz Alhossan, Ziyad Alrabiah, Ajaz Ahmad, Hessa Alsuwailem, Gyu Sang Choi

“…To further prove that the proposed model outperforms other models, a comparative analysis has been done with some of the machine learning algorithms. The proposed model has outperformed all the models generally and specifically when the model testing was done using an independent testing set.…”
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Decoding Gestures in Electromyography: Spatiotemporal Graph Neural Networks for Generalizable and Interpretable Classification by Hunmin Lee, Ming Jiang, Jinhui Yang, Zhi Yang, Qi Zhao

“…In recent years, significant strides in deep learning have propelled the advancement of electromyography (EMG)-based upper-limb gesture recognition systems, yielding notable successes across a spectrum of domains, including rehabilitation, orthopedics, robotics, and human-computer interaction. …”
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