Design of a Hierarchical Control Architecture for Fully-Driven Multi-Fingered Dexterous Hand by Yinan Jin, Hujiang Wang, Han Ge, Guanjun Bao

“…The software implements a fuzzy PID algorithm that dynamically adjusts PID parameters based on both the error and the error rate, thereby effectively managing the nonlinear behaviors of the hand. …”
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Programmable illumination and high-speed, multi-wavelength, confocal microscopy using a digital micromirror. by Franck P Martial, Nicholas A Hartell

“…Here we report the development of a microscope module that utilises a digital micromirror device as a spatial light modulator to provide programmable confocal optical sectioning with a single camera, at high spatial and axial resolution at speeds limited by the frame rate of the camera. …”
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Real-Time Transformer Detection of Underwater Objects Based on Lightweight Gated Convolutional Network by Yuhui LI, Huixia CUI, Yaomin LI, Senping JIA

“…This method first constructed a convolutional gated linear unit based on the gating mechanism to dynamically modulate feature transmission. Furthermore, on this basis, a gated channel interaction module was proposed to fully decouple the token mixer from the channel mixer. …”
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RL-Cervix.Net: A Hybrid Lightweight Model Integrating Reinforcement Learning for Cervical Cell Classification by Shakhnoza Muksimova, Sabina Umirzakova, Jushkin Baltayev, Young-Im Cho

“…A novel application of RL for dynamic feature refinement and adjustment based on reward functions was employed to optimize the detection capabilities of the model. …”
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Evaluation of Clipping Based Iterative PAPR Reduction Techniques for FBMC Systems by Zsolt Kollár, Lajos Varga, Bálint Horváth, Péter Bakki, János Bitó

“…An overview is presented on transmitter oriented techniques employing baseband clipping, which can maintain the system performance with a desired bit error rate (BER).…”
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UAV-to-Ground Target Detection Based on YOLO-DSBE by Meng Pengshuai, Wang Feng, Zhai Weiguang, Ma Xingyu, Zhao Wei

“…The algorithm deeply integrates the BiFormer dynamic sparse attention mechanism into the improved feature fusion network, eliminating irrelevant feature information, enhancing the focus on pertinent details, and reducing the missed detection rate. …”
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Multi-head deep Q-learning for continuous beamforming with selective MC-CDMA operation in V2X highway communications by Nguyen Huu Trung, Nguyen Thuy Anh, Fuqiang Liu

“…To ensure robust and adaptive performance under fast-varying conditions, we propose an integrated framework that combines resource block-based MC-CDMA modulation with dynamic beamforming optimized for complex propagation environments. …”
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Dilated Convolution and YOLOv8 Feature Extraction Network: An Improved Method for MRI-Based Brain Tumor Detection by Lincy Annet Abraham, Gopinath Palanisamy, Veerapu Goutham

“…Secondly, a dual feature pyramid network (DFPN) is built to provide more discriminative data for dynamic sparse attention mechanism to extract features from the shallow network and top-down routes to direct the following network modules to fuse features. …”
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A small object detection model in aerial images based on CPDD-YOLOv8 by Jingyang Wang, Jiayao Gao, Bo Zhang

“…The CPDD-YOLOv8’s small object detection rate is improved by 13.1%. The generalizability of the CPDD-YOLOv8 model is verified on the WiderPerson, VOC_MASK and SHWD datasets.…”
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Unraveling the transcriptomic effects of leucine supplementation on muscle growth and performance in basketball athletes. by Sinan Wang, Weishuai Guo, Rui Dong

“…Baseline exercise performance-assessed through a 282-foot sprint, free throws, three-point field goals, and self-rated practice assessments-was measured prior to leucine supplementation. …”
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Sportmedizin im Wandel by Ketelhut SR, Ketelhut S, Riedel S, Willich S, Meyer-Sabellek W, Müssig K, 5, 6, Ketelhut K

“…Objective: Assessment of heart rate variability (HRV) is increasingly used to evaluate dynamic features of cardiovascular (cv) control mechanisms and offers a unique insight into autonomic cv modulation in health and diseases. …”
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LLM-driven agent for speech-enabled control of industrial robots: A case study in snow-crab quality inspection by Ibrahim Kadri, Sid Ahmed Selouani, Mohsen Ghribi, Rayen Ghali, Sabrina Mekhoukh

“…A dedicated communication module was developed to ensure the full control of a KUKA industrial robot using WebSocket, without resorting to proprietary solutions. …”
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Optimizing Skin Quality via AI-Enhanced Physical Activity by Niki Tertipi, Eleni Sfyri, Vasiliki Sofia Grech, Vasiliki Kefala, Efstathios Rallis

“…Wearable sensors and smart fitness devices provide real-time data on physiological responses (e.g., heart rate, sweat rate, and oxidative stress) and environmental parameters (e.g., UV exposure and pollution levels). …”
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High-Resolution Single-Pixel Imaging of Spatially Sparse Objects: Real-Time Imaging in the Near-Infrared and Visible Wavelength Ranges Enhanced with Iterative Processing or Deep Le... by Rafał Stojek, Anna Pastuszczak, Piotr Wróbel, Magdalena Cwojdzińska, Kacper Sobczak, Rafał Kotyński

“…This allows the proposed SPI method to support high-resolution dynamic SPI in a variety of applications, using a standard SPI architecture with a DMD modulator operating at its native resolution and bandwidth, and enabling the real-time processing of the measured data with no additional delay on a standard desktop PC.…”
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Fast Coordinated Power Control for Improving Inertial and Voltage Support Capability of Battery Energy Storage Systems by Zhen Gong, Chengxi Liu, Filipe Faria Da Silva, Yonghao Gui, Claus Leth Bak

“…Therefore, it can be adopted in VRPC to generate real power for complementary voltage control. Then, grid-voltage-modulated direct power control is selected as the inner power control loop to track power references with faster dynamic performance compared with traditional vector-oriented control. …”
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Attention-Enhanced CNN-LSTM Model for Exercise Oxygen Consumption Prediction with Multi-Source Temporal Features by Zhen Wang, Yingzhe Song, Lei Pang, Shanjun Li, Gang Sun

“…We tackled two key obstacles—the limited fusion of heterogeneous sensor data and inadequate modeling of long-range temporal patterns—by integrating wearable accelerometer and heart-rate streams with a convolutional neural network–LSTM (CNN-LSTM) architecture and optional attention modules. …”
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A multimodal functional structure-based graph neural network for fatigue detection by Dongrui Gao, Zhihong Zhou, Zongyao Peng, Haokai Zhang, Shihong Liu, Manqing Wang, Hongli Chang

“…The framework employs differential entropy (DE) features extracted from filtered EEG signals and heart rate variability (HRV) features derived from ECG signals as dual input streams, capturing distinct internal–external interaction patterns. …”
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Flow Control of Tractor Multi-Channel Hydraulic Tester Based on AMESim and PSO-Optimized Fuzzy-PID by Qinglun Li, Xuefeng Bai, Yang Lu, Xiaoting Deng, Zhixiong Lu

“…By modulating the actuator-driven ball valve’s rotation angle (0–90°) in the proportional flow valve, the controller uses both the flow rate error and its rate of change between the setpoint and the flow meter feedback as fuzzy inputs to adjust the PID outputs. …”
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Allosteric Regulation of Fibronectin/α5β1 Interaction by Fibronectin-Binding MSCRAMMs. by Xiaowen Liang, Xiaowen Liang, Brandon L Garcia, Livia Visai, Sabitha Prabhakaran, Nicola A G Meenan, Jennifer R Potts, Martin J Humphries, Magnus Höök

“…Detailed kinetic analysis of these interactions reveal that this change in affinity can be attributed solely to an increase in the initial Fn/α5β1 on-rate and that this rate-enhancement is dependent on high-affinity Fn-binding by MSCRAMMs. …”
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A Lightweight Approach to Comprehensive Fabric Anomaly Detection Modeling by Shuqin Cui, Weihong Liu, Min Li

“…At the same time, other innovative components, such as GhostConv, dynamic convolutions, feature fusion modules, and a shared group convolution head, are applied to effectively handle multi-scale issues. …”
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