Effects of high-intensity interval training on physical and cognitive function in middle-aged male mice by Justin C. Stephenson, Tuan D. Tran, Ted G. Graber, Ted G. Graber, Ted G. Graber, Ted G. Graber

“…Although numerous studies have elucidated the benefits ofexercise per se, the effect of high-intensity interval training (HIIT) on a middle-aged population is less well-studied.ObjectiveOur primary purpose was to assess the effect of 3 months of HIIT on physical and cognitive performance in middle-aged (17-month-old at the end) male C57BL/6J mice compared to sedentary controls (SED). We hypothesized that exercised mice would be resistant to age-related decline in cognitive and physical ability.MethodsTo measure physical function, we used the well-validated comprehensive functional assessment battery (CFAB) scoring system, comprised of determinants including voluntary wheel running, inverted cling, grip test, treadmill maximum speed, and rotarod performance. …”
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Discrete Pneumatic‐Tendon‐Coupled Actuators with Interconnected Air Circuit for Untethered Soft Robots by Jiutian Xia, Jie Huang, Shiling Fu, Jingting Qu, Liyan Mo, Yunquan Li, Tao Ren, Yang Yang, Yujia Li, Hao Liu

“…Theoretical modeling and experimental tests conducted on single DPTCA and DPTCAs‐IAC show that the IAC effectively reduces actuation torque and that opposite‐direction movements consume less energy compared to same‐direction movements. …”
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Dynamic Simulation of Ground Braking Force Control Based on Fuzzy Adaptive PID for Integrated ABS-RBS System with Slip Ratio Consideration by Pinjia Shi, Yongjun Min, Hui Wang, Liya Lv

“…The proposed control strategy achieves remarkable precision improvements, reducing integral time absolute error (<i>ITAE</i>) by 8.3–52.8% compared to conventional methods. Particularly noteworthy is the substantial <i>ITAE</i> reduction in snow conditions (236.47 vs. 500.969), validating enhanced simulation fidelity under extreme road surfaces. …”
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An energy trade-off management strategy for hybrid ships based on event-triggered model predictive control by Diju Gao, Long Chen, Yide Wang

“…A trade-off coefficient is incorporated to optimize the balance between fuel consumption and carbon emissions. The ET-MPC method results in a 0.68% difference in fuel consumption and 3.43% increase emissions compared to the traditional MPC method. …”
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Machine learning enhanced formation pressure prediction using integrated well logging and mud logging by Jiwen Liang, Ming Luo, Wentuo Li, Bo Sun, Chuanliang Yan, Zhongying Han, Yuanfang Cheng

“…The IWM model significantly reduces the prediction error of formation pore pressure, achieving an average improvement of 8.32% enhancement in prediction accuracy compared to traditional data models. The research method effectively improves the accuracy of formation pressure prediction and provides support for efficient on-site development.…”
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Performance Analysis of a Synchronous Reluctance Generator with a Slitted-Rotor Core for Off-Grid Wind Power Generation by Samuel Adjei-Frimpong, Mbika Muteba

“…The FEA results reveal that the SynRG with a slitted-rotor core, compared with the conventional SynRG with the same ratings and specifications, reduces the torque ripple by 24.51%, 29.72%, and 13.13% when feeding 8 A to a load with unity, lagging, and leading power factors, respectively. …”
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Development of a Prediction Model for Specific Fuel Consumption in Rotary Tillage Based on Actual Operation by Seung-Jun Kim, Moon-Kyeong Jang, Seok-Joon Hwang, Won Suk Lee, Ju-Seok Nam

“…The test field was divided into sections using a grid method, and rotary tillage operations were performed to measure various parameters, including soil strength, tractor’s transmission and PTO gear stages, tillage pitch, travel speed, engine and PTO shaft torque and speed, and fuel consumption. …”
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Robust Wide-Speed-Range Control of IPMSM with Multi-Axis Coordinated Extended State Observer for Dynamic Performance Enhancement by Wentao Zhang, Yanchen Zhai, Pengcheng Zhu, Yiwei Liu

“…Compared with traditional control strategies, this method can effectively observe and compensate for a series of complex issues such as nonlinear disturbances during operation without requiring additional hardware support. …”
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Optimization of Ship Permanent Magnet Synchronous Motor ADRC Based on Improved QPSO by Hongbo Xu, Jundong Zhang, Jiale Liu, Yang Cao, Ao Ma

“…The simulation results demonstrate that, compared to PSO-ADRC control, IPSO-ADRC control, and ICFO-ADRC control, the proposed method offers a superior dynamic response. …”
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Geometric Analysis of a Multi-fingered Robotic Hand Involving an Iris Mechanism by Juntao HUANG, Tadashi EGAMI

“…We perform a geometric analysis of the relation between the rotational angle of the blades and the sizes of graspable objects, considering both the circumferential multi-point grasping of cylindrical objects and the multi-point pinching of rectangular objects. By comparing the analysis results of these different grasping methods, we consider how differences in the number of fingers and their cross-sectional shapes affect the size of graspable objects. …”
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Magnetic soliton-based LIF neurons for spiking neural networks (SNNs) in multilayer spintronic devices by Kishan K. Mishra

“…Neuromorphic computing, inspired by biological nervous systems, is gaining traction due to its advantages in latency, energy efficiency, and algorithmic complexity compared to traditional artificial neural networks. …”
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ESO-Based Non-Singular Terminal Filtered Integral Sliding Mode Backstepping Control for Unmanned Surface Vessels by Jianping Yuan, Zhuohui Chai, Qingdong Chen, Zhihui Dong, Lei Wan

“…This research offers a more efficient and reliable method for precise heading control and path tracking of USVs in complex and dynamic environments.…”
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Aerodynamic optimization of a coaxial rotor system using a deep learning-based multi-fidelity surrogate model by Shu-Hui Qin, Ai-Ming Yang

“…The objective function aims to enhance the figure of merit for a rigid coaxial rotor system in hover, maintaining a constant total thrust coefficient and achieving balanced torque through an efficient trimming method. The optimization outcomes demonstrate that the DLMHK model significantly improves optimization efficiency and results in superior aerodynamic performance, compared with the Kriging and Hierarchical Kriging (HK) model. …”
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High precision experimentally validated adaptive neuro fuzzy inference system controller for DC motor drive system by Muhammad Akram Bhayo, Javed Ahmed Laghari, Mohammad Aljaidi, Mohsin Ali Koondhar, Ragab A. El-Sehiemy, Ali Fayez Alkoradees, Zuhair Muhammed Alaas

“…In this regard, for fair comparison, Bode Plot method is used for obtaining most satisfactory values of K p and K i of both the controllers and the performance of the proposed ANFIS controllers is compared with the tuned PI controllers. …”
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Model-Free Attitude Control of Spacecraft Based on PID-Guide TD3 Algorithm by ZhiBin Zhang, XinHong Li, JiPing An, WanXin Man, GuoHui Zhang

“…Considering the continuity of state space and action space, the Twin Delayed Deep Deterministic Policy Gradient (TD3) algorithm based on actor-critic architecture is adopted. Compared with the Deep Deterministic Policy Gradient (DDPG) algorithm, TD3 has better performance. …”
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Resistance exercise training improves disuse-induced skeletal muscle atrophy in humans: a meta-analysis of randomized controlled trials by Xian Guo, Yanbing Zhou, Xinxin Li, Jinhao Mu

“…Abstract Background This meta-analysis aimed to determine whether resistance exercise training (RET) can attenuate the loss of muscle volume and function in anti-gravitational muscles, especially quadriceps and calf muscles, during immobilization/disuse conditions. Methods A comprehensive literature search was conducted to identify randomized controlled trials comparing RET vs. no exercise during immobilization/disuse. …”
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SYNTHESIS OF VOLTAGES OF UNIFORM PWM IN TIME REGULATION by A. G. Stryzhniou, A. N. Rusakovich, A. A. Shykhau

“…The article describes a process of synthesis and qualitative assessment of the harmonic composition of voltages of multiple and single PWM pulses in time regulation, being, along with amplitude, frequency and phase method, one of control methods of an asynchronous motor. …”
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Evaluation of the Efficacy of Ultrasound-Guided Visualized Acupotomy Combined with Rehabilitation Training in Treatment of Knee Osteoarthritis by PAN Xigui, LIAN Xiaowen, FU Jiehui, ZHANG Zesheng, LIU Xuemei, XIU Zhongbiao

“…The visual analogue scale (VAS), the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores, peak torque values of the quadriceps femoris (PT), and efficacy and safety before and after treatment were compared.ResultsAfter treatment, the VAS scores decreased in both groups, with the ultrasound needle knife group showing a more significant decrease compared with the conventional treatment group (<italic>P</italic>&lt;0.05). …”
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PMSM sliding-mode control based on novel reaching law and disturbance observer by LIU Jing, LI Hong-wen, DENG Yong-ting

“…When the motor is operating at a steady speed of 400 r&#183;min-1 and then is added a 0.6 N&#183;m load torque disturbance, the method based on the novel reaching law and disturbance observer gives a maximum speed fluctuation of 23 r&#183;min-1. …”
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Development and Characterization of Silibinin-Loaded Nanoemulsions: A Promising Mucoadhesive Platform for Enhanced Mucosal Drug Delivery by Ana Paula Santos Tartari, Joslaine Jacumazo, Ariane Krause Padilha Lorenzett, Rilton Alves de Freitas, Rubiana Mara Mainardes

“…<b>Objectives:</b> This study focuses on the development and characterization of SLB-loaded nanoemulsions designed for mucosal delivery. <b>Methods:</b> Nanoemulsions were prepared using the spontaneous emulsification method, guided by pseudoternary phase diagrams to determine selected component ratios. …”
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