Groundbreaking Technologies and the Biocontrol of Fungal Vascular Plant Pathogens by Carmen Gómez-Lama Cabanás, Jesús Mercado-Blanco

“…Other technologies such as genome editing, RNA interference (RNAi), and functional peptides can enhance BCA efficacy against pathogenic fungi. …”
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Intersecting impact of CAG repeat and huntingtin knockout in stem cell-derived cortical neurons by Jennifer T. Stocksdale, Matthew J. Leventhal, Stephanie Lam, Yu-Xin Xu, Yang Oliver Wang, Keona Q. Wang, Reuben Thomas, Zohreh Faghihmonzavi, Yogindra Raghav, Charlene Smith, Jie Wu, Ricardo Miramontes, Kanchan Sarda, Heather Johnston, Min-Gyoung Shin, Terry Huang, Mikelle Foster, Mariya Barch, Naufa Amirani, Chris Paiz, Lindsay Easter, Erse Duderstadt, Vineet Vaibhav, Niveda Sundararaman, Dan P. Felsenfeld, Thomas F. Vogt, Jennifer Van Eyk, Steve Finkbeiner, Julia A. Kaye, Ernest Fraenkel, Leslie M. Thompson

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PHILOSOPHICAL AND ANTHROPOLOGICAL IMPORTANCE OF DEVELOPMENT OF ARTIFICIALLY CREATED INTELLIGENT SYSTEMS by Yu. D. Gensitskiy

“…Such system becomes smarter, including the intelligent writing of internal cognitive function, that the ability to rewrite their existing cognitive function to make it work better. …”
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Post-TACE ALBI-Score Trajectory in Intermediate and Advanced Hepatocellular Carcinoma: Prognostic Implications and Influencing Factors Analysis by Li J, Feng T, Cui C, Wang H, Su T, Jin L, Zhao X, Xiao W

“…The CatBoost model effectively distinguished distinct trajectory groups, with SHAP analysis highlighting ALBI-grade, Child-Pugh class, and tumor number as key predictors.Conclusion: Post-TACE ALBI-score trajectories are closely linked to clinical outcomes, with improved liver function associated with better prognosis. Monitoring these trajectories could guide personalized treatment strategies for HCC patients undergoing TACE.Keywords: hepatocellular carcinoma, transarterial chemoembolization, group-based trajectory modeling, machine learning, shapley additive explanations…”
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A Metaheuristic-Trained Wavelet Neural Network for Predicting of Soil Liquefaction Based on the Standard Penetration Test Results by Ali Reza Ghanizadeh, Ahmad Aziminejad

“…The optimal architecture for the WNN is determined as 2-8-1, indicating that it consists of two neurons in the input layer, eight neurons in the hidden layer with the Shannon wavelet function, and one neuron in the output layer with the Hardlim activation function. …”
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Heat treatment control technology of high-strength steel gears based on support vector machine by Yanzhong Wang, Libin Zhang, Yulu Su, Hai Liu, HaiLong Yang, Yanyan Chen

“…In this study, with the help of machine learning, a support vector machine prediction model of gear tissue distribution is constructed based on heat treatment parameters, and the radial basis functions kernel function is selected as the kernel function of the support vector machine to improve the accuracy of model prediction by optimizing the kernel parameters. …”
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Urban vitality transfer: Analysis of 50 factors based on 24-h weekday activity in Nanjing by Zhenyu Wang, Weixing Xu, Yida Liu, Beibei Liu, Ling Zhu

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Improved model MASW YOLO for small target detection in UAV images based on YOLOv8 by Xianghe Meng, Fei Yuan, Dexiang Zhang

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Methods for Brain Connectivity Analysis with Applications to Rat Local Field Potential Recordings by Anass B. El-Yaagoubi, Sipan Aslan, Farah Gomawi, Paolo V. Redondo, Sarbojit Roy, Malik S. Sultan, Mara S. Talento, Francine T. Tarrazona, Haibo Wu, Keiland W. Cooper, Norbert J. Fortin, Hernando Ombao

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IMPACT OF THE PROFESSIONAL IMAGE OF THE LEADER ON THE DEVELOPMENT OF THE EDUCATIONAL INSTITUTION by Kovalchuk Vasyl

“…The article aims to analyse the functions of the head of an educational institution and study the influence of their image on the development of the school, underlining the components of the school director’s image that influence its effectiveness in the educational labour market. …”
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Heterogeneous foraging swarms can be better by Gal A. Kaminka, Yinon Douchan

“…In this paper, we will show that swarms can perform better, when they self-adapt to admit heterogeneous behavior roles.MethodsWe model a foraging swarm task as an extensive-form fully-cooperative game, in which the swarm reward is an additive function of individual contributions (the sum of collected items). …”
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Une représentation des élèves en difficulté (et de leur prise en charge) dépendante des dispositifs construits par le collectif d’enseignants by Gwénaël Lefeuvre

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Optimization of Restricted Container Relocation Using the Monte Carlo Tree Search Method by Chaabane Abdelali, Yachba Khadidja, Bellatreche Ladjel

“…By employing precise actions and a defined reward function, MCTS is guided towards the best possible solution. …”
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Heuristic model free optimal controller design using gradient based PSO by Yousef Alipourri

“…Then, the gradient based PSO (GPSO) is proposed to learning the controller. GPSO has both advantages of global searching and convergence properties. …”
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Pathway metrics accurately stratify T cells to their cells states by Dani Livne, Sol Efroni

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Neural networks for parameter estimation in geostatistical models with geometric anisotropies by Alejandro Villazón, Alfredo Alegría, Xavier Emery

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Closed-loop versus open-loop “remind-to-move” treatment using wearables for hemiparetic upper extremity in patients after stroke: A proof-of-concept study by Kenneth N. K. Fong, Jasmine P. Y. Pak, Alissa H. L. Koo, Maggie M. K. Szeto, Natalie M. T. Wong, Keily K. Y. Yau, Sharon F. M. Toh, Vivian W. Lou, Hector W. H. Tsang, Gary K. K. Lau

“…The closed-loop group showed a more significant improvement in movement frequency, hand functions, and actual arm use than did the open-loop group. …”
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Dilute Species Transport During Generalized Newtonian Fluid Flow in Porous Medium Systems by Christopher A. Bowers, Cass T. Miller

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REU-Net: A Remote Sensing Image Building Segmentation Network Based on Residual Structure and the Edge Enhancement Attention Module by Tianen Yuan, Bo Hu

“…Furthermore, a hybrid loss function combining edge consistency loss and binary cross-entropy loss is used to train the network, aiming to improve segmentation accuracy. …”
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Extracting road maps from high-resolution satellite imagery using refined DSE-LinkNet by Prativa Das, Satish Chand

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