Neurophysiological Markers of Adaptation and Compensation Following Lower Limb Amputation: An Analysis of EEG Oscillations and Clinical Predictors from the DEFINE Cohort Study by Guilherme J. M. Lacerda, Valton Costa, Lucas Camargo, Linamara R. Battistella, Marta Imamura, Felipe Fregni

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Unveiling microbial dynamics: a review of health and immune enhancement in school settings by Philip Asumang, Richard Ntumi, Francis Dwomoh

“…Understanding the role of microbes in school environments has implications for public health policies and educational practices, aiming to create healthier and more conducive learning environments for the younger generation. By comprehensively exploring this topic, this review contributes to a broader understanding of the significance of microbes in promoting health and immune function in school settings and its relevance to future health research.…”
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Two-Stage Separator Level Coupling Control Based on ASFW-DDPG Algorithm by Xiaoyong He, Han Pang, Boying Liu, Yuqing Chen

“…The adaptive smoothing factor weight function and the reward function are meticulously designed to improve convergence speed and stability. …”
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Angiotensin-(1-7) protective effects in neurocognitive disorders: molecular mechanisms to therapeutic implications by Lillia C. Lucas, Katherine D. Kimbark, Victoria L. Vernail, Yuval Silberman, Amy C. Arnold

“…Cognition broadly refers to the ability to perform mental processes such as learning and memory, attention, emotional awareness, and higher-order thinking. …”
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Application of Artificial Neural Network(s) in Predicting Formwork Labour Productivity by Sasan Golnaraghi, Zahra Zangenehmadar, Osama Moselhi, Sabah Alkass

“…Attaining a holistic view of labour productivity is not an easy task because productivity is a function of manageable and unmanageable factors. Compound irregularity is a significant issue in modeling construction labour productivity. …”
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Data-Driven Hybrid Internal Temperature Estimation Approach for Battery Thermal Management by Kailong Liu, Kang Li, Qiao Peng, Yuanjun Guo, Li Zhang

“…To be specific, the suitable input terms and the number of hidden nodes for the RBF NN are first optimized by a two-stage stepwise identification algorithm (TSIA). Then, the teaching-learning-based optimization (TLBO) algorithm is developed to optimize the centres and widths in every neuron of basis function. …”
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Application of artificial intelligence technologies in HR management by S. V. Okladnikova, A. S. Pankrashov

“…Additionally, the process of applying the objective function to obtain a numerical coefficient based on individual metrics or a combination of them is described in order to make a decision corresponding to its value based on the resulting indicator of the function.Conclusion. …”
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Dendritic overgrowth and elevated ERK signaling during neonatal development in a mouse model of autism. by Ning Cheng, Fawaz Alshammari, Elizabeth Hughes, Maryam Khanbabaei, Jong M Rho

“…Alterations in network connectivity and memory function are frequently observed in autism patients, often involving the hippocampus. …”
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Exploring feature sparsity for out-of-distribution detection by Qichao Chen, Kuan Li, Zhiyuan Chen, Tomas Maul, Jianping Yin

“…Abstract Out-of-distribution (OOD) detection is a crucial problem in practice, especially, for the safe deployment of machine learning models in industrial settings. Previous work has used free energy as a score function and proposed a fine-tuning method that utilized OOD data in the training phase of the classification model, which achieves a higher performance on the OOD detection task compared with traditional methods. …”
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The topological properties of the protein universe by Christian D. Madsen, Agnese Barbensi, Stephen Y. Zhang, Lucy Ham, Alessia David, Douglas E. V. Pires, Michael P. H. Stumpf

“…Abstract Deep learning methods have revolutionised our ability to predict protein structures, allowing us a glimpse into the entire protein universe. …”
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Analysis of a mathematical model for malaria using data-driven approach by Adithya Rajnarayanan, Manoj Kumar, Abdessamad Tridane

“…We used a novel transmission function to model the dependence on temperature and altitude. …”
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Sharing and Specificity of Co-expression Networks across 35 Human Tissues. by Emma Pierson, GTEx Consortium, Daphne Koller, Alexis Battle, Sara Mostafavi, Kristin G Ardlie, Gad Getz, Fred A Wright, Manolis Kellis, Simona Volpi, Emmanouil T Dermitzakis

“…We show that this transfer learning approach increases the accuracy with which networks are learned. …”
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Illuminating the impact of stress: In vivo approaches to track stress-related neural adaptations by Puja K. Parekh

“…This disrupted signaling consequently alters the balance of synapse formation, maturation and pruning, processes which regulate neural communication, plasticity, learning, cognitive flexibility and adaptive behaviors - hallmarks of a healthy, functional brain. …”
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Integrating Semantic Zoning Information with the Prediction of Road Link Speed Based on Taxi GPS Data by He Bing, Xu Zhifeng, Xu Yangjie, Hu Jinxing, Ma Zhanwu

“…Finally, we add semantic function vectors to the dataset and train a graph convolutional network to learn the spatial and temporal dependencies of road links. …”
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Long-term activity-dependent plasticity of action potential propagation delay and amplitude in cortical networks. by Douglas J Bakkum, Zenas C Chao, Steve M Potter

“…<h4>Conclusions/significance</h4>We conclude that, along with changes in synaptic efficacy, propagation plasticity provides a cellular mechanism to tune neuronal network function in vitro and potentially learning and memory in the brain.…”
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A DRL-based optimization method for microgrid operation by ZENG Lei, DING Quan, CHEN Xiaoyu, YUE Xianya

“…Third， a penalty term for high-proportion erroneous actions is incorporated into the reward function to constrain the output of each device within a reasonable range， mitigating the risk of insufficient safety guarantees inherent in reinforcement learning methods. …”
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A Review of Facial Thermography Assessment for Vital Signs Estimation by Syaidatus Syahira Ahmad Tarmizi, Nor Surayahani Suriani, Fadilla 'Atyka Nor Rashid

“…This paper, summarize thermal images using advanced machine learning and deep learning methods with satisfactory performance. …”
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K-Nearest Neighbors with Third-Order Distance for Flooding Attack Classification in Optical Burst Switching Networks by Hilal H. Nuha, Satria Akbar Mugitama, Ahmed Abo Absa, Sutiyo

“…This paper introduces a novel machine learning method for flooding attack detection in OBS networks, based on a third-order distance function for k-nearest neighbors (KNN3O). …”
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Research on an adaptive multimodal cognitive load classification method by Xiangxin Yu, Ruizhen Wang

“…Purpose: Functional near-infrared spectroscopy (fNIRS) has emerged as a prominent research tool in the fields of brain function analysis, and cognitive load classification due to its ability to objectively reflect cognitive states. …”
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Advanced Monte Carlo for Acquisition Sampling in Bayesian Optimization by Javier Garcia-Barcos, Ruben Martinez-Cantin

“…However, it also requires sampling from a continuous acquisition function, which can be challenging even for advanced Monte Carlo methods due to its highly multimodal nature, constrained search space, and possibly numerically unstable values. …”
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