Impact of the Audio-Visual Learning Method on the Development of Foreign Language Communication Competence of Future Interpreters and Translator by Tetiana Sobol

“… This article purpose is to concern the importance of applying a communicative approach to learning a foreign language by future interpreters and translators. …”
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Machine learning metallic glass critical cooling rates through elemental and molecular simulation based featurization by Lane E. Schultz, Benjamin Afflerbach, Paul M. Voyles, Dane Morgan

“…We compare results for features derived from easy-to-compute functions of elemental properties to more complex physically motivated properties using ab initio, machine-learning potentials, and empirical potential molecular dynamics methods. …”
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YOLO-LSM: A Lightweight UAV Target Detection Algorithm Based on Shallow and Multiscale Information Learning by Chenxing Wu, Changlong Cai, Feng Xiao, Jiahao Wang, Yulin Guo, Longhui Ma

“…Different from previous work on medical detection, this study tailors YOLO-LSM for UAV-based small object detection by introducing targeted improvements in feature extraction, detection heads, and loss functions, achieving better adaptation to aerial scenarios.…”
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Structural optimization of stiffened panel structures with continuous and discrete design variables using deep reinforcement learning by Ryota NONAMI, Mitsuru KITAMURA

“…To address this, the use of deep reinforcement learning (DRL) has been investigated for large-scale combinatorial optimization. …”
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Enhancing Human–Computer Interaction With Cultural Nuance: A Deep Reinforcement Learning Perspective by Xiaohui Wang

“…This demonstrates how well the model enhances the functionality of HCI models.…”
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Sex chromosome gene expression associated with vocal learning following hormonal manipulation in female zebra finches by Matthew Davenport, Ha Na Choe, Hiroaki Matsunami, Erich Jarvis

“…Zebra finches are sexually dimorphic vocal learners. Males learn to sing by imitating mature conspecifics, but females do not. …”
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A New Hybrid Wavelet Transform-Deep Learning for Smart Resilient Inverters in Microgrids Against Cyberattacks by Chou-Mo Yang, Pei-Min Huang, Chun-Lien Su, Mahmoud Elsisi

“…Smart inverters are vital to the functioning and stability of contemporary microgrids (MG). …”
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Predictive Understanding of Links Between Vegetation and Soil Burn Severities Using Physics‐Informed Machine Learning by Seyd Teymoor Seydi, John T. Abatzoglou, Amir AghaKouchak, Yavar Pourmohamad, Ashok Mishra, Mojtaba Sadegh

“…The model exhibited scalability with additional data, and was able to extract universal functional relationships between vegetation and soil burn severities across the western US. …”
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Impact of provoked stress on model-free and model-based reinforcement learning in individuals with alcohol use disorder by Florent Wyckmans, Armand Chatard, Charles Kornreich, Damien Gruson, Nemat Jaafari, Xavier Noël

“…Background: From both clinical and theoretical perspectives, understanding the functionality of evaluative reinforcement learning mechanisms (Model-Free, MF, and Model-Based, MB) under provoked stress, particularly in Alcohol Use Disorder (AUD), is crucial yet underexplored. …”
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The relationship of learning and memory disfunction with NEURL1 and RGS14 genes in patients with autism spectrum disorders by Dilek Kaan, Sevgi Özmen, Didem Behice Öztop, Elif Funda Şener, Hamiyet Ecıroglu, Yusuf Özkul

“…Aim: We aimed to evaluate the relationship between learning-memory difficulties and NEURL1 and RGS14 genes in patients with autism spectrum disorders (ASD).Method: Forty children with ASD (20 ASD, 20 high functioning autism (HFA)) and 20 healthy controls were enrolled in this study. …”
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SlideTiler: A dataset creator software for boosting deep learning on histological whole slide images by Leonardo Barcellona, Lorenzo Nicolè, Rocco Cappellesso, Angelo Paolo Dei Tos, Stefano Ghidoni

“…The software was designed to provide direct access to virtual slides, allowing custom tiling of specific regions of interest drawn by the user, tile labelling, quality assessment, and direct export to dataset directories. To illustrate the functions and the scalability of SlideTiler, a deep learning-based classifier was implemented to classify 4 different tumour histotypes available in the TCGA repository. …”
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Parallelizing Comprehensive Learning Particle Swarm Optimization by Open Computing Language on an Integrated Graphical Processing Unit by Xiang Yu, Yu Qiao, Qingpeng Li, Gang Xu, Chuanxiong Kang, Claudio Estevez, Chengzhi Deng, Shengqian Wang

“…Comprehensive learning particle swarm optimization (CLPSO) is a powerful metaheuristic for global optimization. …”
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Enhanced Workload Prediction in Data Centers Using Two-Stage Decomposition and Hybrid Parallel Deep Learning by Dalal Alqahtani, Hamidreza Imani, Tarek El-Ghazawi

“…We use the capability of CEEMDAN for denoising by additive white noise to clean the noisy workload data and further decompose it into several Intrinsic Mode Functions (IMFs), ranging from high to low frequencies. …”
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AI-Driven Neuro-Monitoring: Advancing Schizophrenia Detection and Management Through Deep Learning and EEG Analysis by Elena-Anca Paraschiv, Lidia Băjenaru, Cristian Petrache, Ovidiu Bica, Dragoș-Nicolae Nicolau

“…This paper proposes a novel approach for detecting schizophrenia-related abnormalities using deep learning (DL) techniques applied to electroencephalogram (EEG) data. …”
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AngleCam: Predicting the temporal variation of leaf angle distributions from image series with deep learning by Teja Kattenborn, Ronny Richter, Claudia Guimarães‐Steinicke, Hannes Feilhauer, Christian Wirth

“…Here, we present AngleCam, a deep learning‐based approach to predict leaf angle distributions from horizontal photographs acquired with low‐cost timelapse cameras. …”
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Predicting depression in healthy young adults: A machine learning approach using longitudinal neuroimaging data by Ailing Zhang, Haobo Zhang

“…This study aimed to develop predictive models for depression in young adults using machine learning (ML) techniques and longitudinal data from the Beck Depression Inventory, structural MRI (sMRI), and resting-state functional MRI (rs-fMRI). …”
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The Influence of Artificial Intelligence Tools on Learning Outcomes in Computer Programming: A Systematic Review and Meta-Analysis by Manal Alanazi, Ben Soh, Halima Samra, Alice Li

“…This systematic review and meta-analysis investigates the impact of artificial intelligence (AI) tools, including ChatGPT 3.5 and GitHub Copilot, on learning outcomes in computer programming courses. …”
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Zebra optimization algorithm incorporating opposition-based learning and dynamic elite-pooling strategies and its applications. by Tengfei Ma, Guangda Lu, Zhuanping Qin, Tinghang Guo, Zheng Li, Changli Zhao

“…To address the limitations of the Zebra Optimization Algorithm (ZOA), including insufficient late-stage optimization search capability, susceptibility to local optima, slow convergence, and inadequate exploration, this paper proposes an enhanced Zebra Optimization Algorithm integrating opposition-based learning and a dynamic elite-pooling strategy (OP-ZOA: Opposition-Based Learning Dynamic Elite-Pooling Zebra Optimization Algorithm). he proposed search algorithm employs a good point set-elite opposition-based learning mechanism to initialize the population, enhancing diversity and facilitating escape from local optima. …”
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A Two-Stream Deep Learning Framework for Robust Coral Reef Health Classification: Insights and Interpretability by Arslan Abdul Ghaffar, Gyu Sang Choi

“…In this study, we introduce a two-stream deep learning framework designed to robustly classify coral health, emphasizing interpretability as integral to its applicability. …”
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FLIP: A Novel Feedback Learning-Based Intelligent Plugin Towards Accuracy Enhancement of Chinese OCR by Xinyue Tao, Yueyue Han, Yakai Jin, Yunzhi Wu

“…The approach functions entirely through mathematical calculations at the character encoding level, ensuring universal compatibility with existing OCR systems while effectively handling complex Chinese character similarities. …”
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