Lightweight and Accurate YOLOv7-Based Ensembles With Knowledge Distillation for Urinary Sediment Detection by Keita Sasaki, Hiroki Nishikawa, Ittetsu Taniguchi, Takao Onoye

“…Urine sediment analysis plays an important role in evaluating kidney function. In addition to improving detection accuracy, reducing model size is also a key challenge, especially when considering deployment on medical devices where computational resources are limited. …”
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A New Task-Space Neural Nonlinear Control Approach for Robotic Manipulators Under Joint Constraints by Nguyen Tran Minh Nguyet, Dang Xuan Ba

“…To effectively suppress the dynamical internal and external disturbances, a new neural network with a flexible nonlinear learning law is integrated in the joint-space sub controller. …”
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The Effect of High-Intensity Interval Training (HIIT) on Brain-Derived Neurotrophic Factor Levels (BNDF): A Systematic Review by Milosz Mielniczek, Tore Kristian Aune

“…Results: Twelve studies met the inclusion criteria, with most indicating significant increases in BDNF levels post-HIIT, suggesting HIIT’s potential to enhance neuroplasticity and cognitive functions. However, variations in BDNF responses were observed across different HIIT protocols and study populations. …”
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Attitude Control with Auxiliary Structure Based on Adaptive Dynamic Programming for Reentry Vehicles by Xu Li, Zhongtao Cheng, Bo Wang, Yongji Wang, Lei Liu

“…And the ADP structure utilizes neural network estimators to minimize the cost function and generate optimal signals through online learning, so as to compensate defect of the main controllers’ adaptability speed and accuracy. …”
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Persuasiveness in Political Discourse on Twitter by Olena Goroshko, Tetiana Poliakova

“…The active twitting usage with the communicative aim in political sphere puts the question about language learning namely about the means of expression of the persuasive language influence in the analyzed genre, as the persuasive language influence function is one of the most important functions in political internet-communication from psycholinguistic point of view. …”
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Farmers’ Group Coaching and Agricultural Extension Regarding Soil and Water Conservation in Nagari Cupak, West Sumatra by Aditya Alqamal Alianta, Amrizal Anas, Rialdi Nurul Fahada, Mutika Putri Utama, Arini Fajriah, Dina Retno Marfu'ah, Vito Rantau

“…One of the outreach topics that can deliver to farmers is the importance of the efficient functioning of farmer groups (as a learning class, as production units, and as a place to cooperate). …”
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Robust Optical and SAR Image Matching via Attention-Guided Structural Encoding and Confidence-Aware Filtering by Qi Kang, Jixian Zhang, Guoman Huang, Fei Liu

“…In this study, we proposed an attention-context-aware deep learning framework (ACAMatch) for robust and efficient optical–SAR image registration. …”
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Mine Microseismic Signal Denoising Based on a Deep Convolutional Autoencoder by Ting Hu, Bin Xu, Yongfa Wang, Jiayi Zhu, Jiang Zhou, Zhongyi Wan

“…Therefore, this study introduces a deep learning method to improve the mapping function and sparsity of signals in the time-frequency domain and constructs a denoising framework based on a deep convolutional autoencoder to address the denoising problem of mine microseismic signals. …”
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BiEHFFNet: A Water Body Detection Network for SAR Images Based on Bi-Encoder and Hybrid Feature Fusion by Bin Han, Xin Huang, Feng Xue

“…Finally, a composite loss function combining Dice loss and Active Contour loss is used to provide stronger boundary supervision. …”
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RETRACTED ARTICLE: Molecular mechanism and diagnostic marker investigation of endoplasmic reticulum stress on periodontitis by Qianqian Sun, Enqiang Zhu

“…Abstract Purpose The aim of this study was to reveal the biological function of endoplasmic reticulum stress (ERS)-related genes (ERSGs) in periodontitis, and provide potential ERS diagnostic markers for clinical therapy of periodontitis. …”
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Fitness landscape of a dynamic RNA structure. by Valerie W C Soo, Jacob B Swadling, Andre J Faure, Tobias Warnecke

“…We reasoned that deep mutational scanning experiments, which couple molecular function to fitness, should capture mutational effects across multiple conformational states simultaneously. …”
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A State-Supervised Model and Novel Anomaly Index for Gas Turbines Blade Fault Detection Under Multi-Operating Conditions by Yuan Xiao, Kun Feng, Dongyan Miao, Peng Zhang, Jiaxin Yang

“…Through the fusion decoding of operating states and vibration signals, the foundation of the SS-VAE model and its loss function is established. Secondly, a new State Mapping Error (SME) index is introduced to further address the issue of reconstruction error variability across multiple conditions. …”
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Concurrent Contribution of Co-Contraction to Error Reduction During Dynamic Adaptation of the Wrist by Andria J Farrens, Kristin Schmidt, Hannah Cohen, Fabrizio Sergi

“…MRI-compatible robots provide a means of studying brain function involved in complex sensorimotor learning processes, such as adaptation. …”
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Fault Diagnosis of Oil Pumping Machine Retarder Based on Sound Texture-Vibration Entropy Characteristics and Gray Wolf Optimization-Support Vector Machine by Shutao Zhao, Ke Chang, Erxu Wang, Bo Li, Kedeng Wang, Qingquan Wu

“…Finally, joint eigenvectors were constructed and fed into SVM for learning. The gray wolf optimization (GWO) algorithm was used to optimize the parameters of the SVM model based on mixed kernel function, which reduces the impact of sensor frequency response, environmental noise, and load fluctuation disturbance on the accuracy of retarder fault diagnosis. …”
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Data-driven cultural background fusion for environmental art image classification: Technical support of the dual Kernel squeeze and excitation network. by Chenchen Liu, Haoyue Guo

“…On this basis, the Rectified Linear Unit activation function and depthwise convolution are introduced after the second layer convolution, and batch normalization is performed to improve the efficiency and robustness of feature extraction. …”
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BERT-Residual Quantum Language Model Inspired by ODE Multi-Step Method by Shaohui Liang, Yingkui Wang, Shuxin Chen

“…Therefore, how to effectively integrate the quantum-inspired language model and the pre-trained model, and make them function under the fine-tuning paradigm of the pre-trained model has become a key issue for the further development of the quantum-inspired language model. …”
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Ethanol alters mechanosensory habituation in C. elegans by way of the BK potassium channel through a novel mechanism. by Nikolas Kokan, Conny Lin, Alvaro Luna, Joani Viliunas, Catharine H Rankin

“…Finally, by degrading SLO-1 in different parts of the nervous system we found that the function of SLO-1 in ethanol's impact on habituation is likely distributed throughout the neural circuit that responds to tap. …”
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Research on the Optimization of the Electrode Structure and Signal Processing Method of the Field Mill Type Electric Field Sensor by Wei Zhao, Zhizhong Li, Haitao Zhang

“…An improved harmonic detection method combining fast Fourier transform and back propagation neural network (FFT-BP) was proposed, the learning rate, momentum factor, and excitation function jointly participated in the adjustment of the network, and the iterative search range of the algorithm was limited by the threshold interval, further improving the accuracy and rapidity of the sensor measurement. …”
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A Hybrid Model for Carbon Price Forecasting Based on Secondary Decomposition and Weight Optimization by Yongfa Chen, Yingjie Zhu, Jie Wang, Meng Li

“…To address the nonlinear, non-stationary, and multiscale nature of carbon prices, this paper proposes a forecasting framework integrating secondary decomposition, two-stage feature selection, and dynamic ensemble learning. Firstly, the original price series is decomposed into intrinsic mode functions (IMFs), using complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN). …”
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Adaptive robust control of tea-picking-manipulator’s position tracking based on dead zone compensation with modified RBF by Yu Han, Zhiyu Song, Wenyu Yi, Caixue Zhan

“…To establish an accurate control model of the tea picking robot, an adaptive compensator of m-RBF (modified radial basis function neural network) and adaptive law were designed aimed at the nonlinearity units and dead zone. …”
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