A novel cyclic peptide (Naturido) modulates glia-neuron interactions in vitro and reverses ageing-related deficits in senescence-accelerated mice. by Shinichi Ishiguro, Tetsuro Shinada, Zhou Wu, Mayumi Karimazawa, Michimasa Uchidate, Eiji Nishimura, Yoko Yasuno, Makiko Ebata, Piyamas Sillapakong, Hiromi Ishiguro, Nobuyoshi Ebata, Junjun Ni, Muzhou Jiang, Masanobu Goryo, Keishi Otsu, Hidemitsu Harada, Koichi Suzuki

“…These findings of in vitro glia-neuron interactions led us to evaluate the effects of oral administration of the peptide on brain function and hair ageing in senescence-accelerated mice (SAMP8). …”
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Intelligent identification of ballastless track subgrade settlement based on vehicle-rail vibration data by Chong Li, Yu Guo

“…The CNN-LSTM model achieves a detection accuracy of 99.26%, outperforming four benchmark models—backpropagation (BP) neural network, radial basis function (RBF) network, CNN, and LSTM—which validates its robustness and practical effectiveness. …”
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A Two-Stage YOLOv5s–U-Net Framework for Defect Localization and Segmentation in Overhead Transmission Lines by Aohua Li, Dacheng Li, Anjing Wang

“…Meanwhile, a hybrid loss function that combines Dice Loss and Focal Loss is designed to solve the small-target and class imbalance problems. …”
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Evaluating Communication Performance in Rotating Electrical Machines Using RSSI Measurements and Artificial Intelligence by Sonia Ben Brahim, Samia Dardouri, Hanen Lajnef, Amel Ben Slimane, Ridha Bouallegue, Tan-Hoa Vuong

“…The methodology comprises several stages, including data collection, preprocessing, feature extraction, and model training. Various machine learning models are implemented and evaluated. Among these, the SVM model with a Radial Basis Function (RBF) kernel outperforms others, achieving an accuracy of 97%, with high precision and recall scores, confirming its robustness in classifying RSSI data and handling complex signal behavior. …”
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Belt conveyor idler fault detection algorithm based on improved YOLOv5 by Cen Pan, Qing Tao, Hao Pei, Biao Wang, Wei Liu

“…Subsequently, the α-CIoU localization loss function replaces the traditional CIoU to enhance the model’s regression accuracy. …”
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Temporal Evolution of the Hydrodynamics of a Swimming Eel Robot Using Sparse Identification: SINDy-DMD by Mostafa Sayahkarajy, Hartmut Witte

“…In this study, we employ machine learning strategies to investigate the temporal evolution of the system and discover a data-driven model. …”
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Comparing Dominant and Non-Dominant Hand Performance With Force Changes In a Two Hand Equilibrium Task: A Challenge to Dominant Hand Theories by Yaser Khanjari

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Exploring the Determinants of Users’ Intention to Use Augmented Reality in Craftsmanship-Oriented Intangible Cultural Heritage Games by Shiwen Lai, Qingfeng Zhang

“…The model incorporates four key perceptual constructs—immersion, visual appeal, interactivity, and learning friendliness—and investigates their influence on user adoption behavior. …”
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Annotating the microbial dark matter with HiFi-NN by Gavin Ayres, Geraldene Munsamy, Michael Heinzinger, Noelia Ferruz, Kevin Yang, Bastiaan Bergman, Philipp Lorenz

“…Summary: The accurate computational annotation of protein sequences with enzymatic function remains a fundamental challenge in bioinformatics. …”
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A Data-Driven Approach Based on Deep Neural Network Regression for Predicting the Compressive Strength of Steel Fiber Reinforced Concrete by Nhat-Duc Hoang, Van-Duc Tran

“…The state-of-the-art Nesterov accelerated adaptive moment estimation (Nadam) is used to optimize the deep neural computing model that learns the functional mapping between the compressive strength and concrete’s constituents. …”
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Adaptive Multi-Gradient Guidance with Conflict Resolution for Limited-Sample Regression by Yu Lin, Jiaxiang Lin, Keju Zhang, Qin Zheng, Liqiang Lin, Qianqian Chen

“…However, one reference model may not capture all relevant characteristics of the target function, which can restrict the capacity of the learner. …”
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The insulin-like peptide INS-27 mediates a muscle-to-neuron feedback signal coupling muscle activity with AMPA receptor trafficking. by Bethany J Rennich, Regina M Powers, Samantha Moores, Molly Hodul, Peter Juo

“…Regulation of AMPA Receptor (AMPAR) levels at synapses controls synaptic strength and is a major mechanism underlying learning and memory. Growing evidence indicates that AMPAR trafficking can be regulated by extracellular factors. …”
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A Biologically Inspired Cost-Efficient Zero-Trust Security Approach for Attacker Detection and Classification in Inter-Satellite Communication Networks by Sridhar Varadala, Hao Xu

“…This approach uses data-driven learning methods to enhance security across satellite communications. …”
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The Co-Piloting Model for Using Artificial Intelligence Systems in Medicine: Implementing the Constrained-Disorder-Principle-Based Second-Generation System by Yaron Ilan

“…Some of these systems are designed to perform activities that demand human cognitive function. However, use of these systems in routine care by patients and caregivers lags behind expectations. …”
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From Prompt To Response: Understanding Chatgpt Language Processing Framework To Improve Efl Teaching by Nawel Bengrait

“… Foreign Language (FL) learning and teaching have known a drastic shift due to the implementation of the fast-growing Artificial Intelligence (AI) tools. …”
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How to Turn Trust into Non-material Asset of Higher Education by G. Zborovsky, P. Ambarova

“…Another important function of trust in education is development of partnership and social networks between educational organizations, governing bodies, stakeholders, and parents. …”
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Enhancing Early Exit Performance With Uncertainty-Aware Training in Convolutional Neural Networks for Image Classification by Thanu Kurian, Somasundaram Thangam

“…To overcome the downfall, we propose uncertainty estimation in the loss function as an additional parameter for classification. …”
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YOLO-CBD: Classroom Behavior Detection Method Based on Behavior Feature Extraction and Aggregation by Shuyun Peng, Xiaopei Zhang, Luoyu Zhou, Peng Wang

“…Finally, the Wise-IoU loss function is incorporated to handle sample imbalance issues. …”
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AG-Net3D: Embedding Attention Gate Into U-Net for 3D Seismic Data Fault Detection by Mingchun Chen, Hui Cao, Luofei Jia

“…Second, for the high imbalance between fault and non-fault in the image, we propose an improved BCE loss function to regulate the weights of the fault and non-fault images and increase reasonable attention to fault. …”
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Use of a predictor cue during a speech sound discrimination task in a Cntnap2 knockout rat model of autism. by Tracy M Centanni, Logun P K Gunderson, Monica Parra

“…Future research is needed to probe the neural anatomy and function that drives this effect.…”
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