Robot-Assisted Gait Training Enhances Phase-Specific Torque Generation, Balance, and Motor Recovery in Hemiplegia. [PDF]
Özkoçak G, Sorucu E, Calabrò RS.
europepmc +1 more source
Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning
The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari +2 more
wiley +1 more source
A Comprehensive Review of AI‐Powered Energy Systems
The role of Artificial Intelligence (AI) in developing next‐generation energy systems is getting more day by day. Therefore, incorporating AI enables real‐time decision‐making and advanced grid management, which are essential for optimizing the use of intermittent renewable sources like wind and solar power.
Armin Razmjoo +5 more
wiley +1 more source
Robot-assisted gait training alleviates the symptoms of acute ischemic stroke via regulating gut microbiota composition and function. [PDF]
Liu H +13 more
europepmc +1 more source
Abstract Background A handheld smartphone‐based computer vision algorithm (RealHorse® [RH]) offers accessible alternatives for equine gait analysis but requires validation against a gold‐standard three‐dimensional multicamera optical motion capture system (Qualisys® [QS]).
Karsten Key +4 more
wiley +1 more source
Abstract Background The molecular mechanisms underlying adaptation to physical exertion and racing stress in horses remain incompletely understood. Peripheral blood transcriptomics offers a minimally invasive method to monitor systemic responses to exercise and identify biomarkers of adaptation or overload. Objectives To evaluate transcriptomic changes
Izabela Dąbrowska +4 more
wiley +1 more source
Brain–Computer Interfaces: The Dawn of a New Era in Disease Treatment
This study investigates the potential of brain–computer interface (BCI) technology in treating neuropsychiatric disorders, such as movement and communication barriers. Our review examines the history, signal paradigms, and diverse applications of BCI while also discussing ongoing research into novel materials and emerging technologies that offer ...
Yuqi Feng +11 more
wiley +1 more source
Effects of Robot-Assisted Gait Training on Stage-Based Lower Limb Motor Recovery and Muscle Tone in Subacute Stroke: A Randomized Controlled Trial. [PDF]
Han YK +11 more
europepmc +1 more source
Reflective Pathways: Integrating Empathy Into the STEM Student Experiences
ABSTRACT The growing demand for a globally competent STEM workforce showcases the importance of embedding empathy into undergraduate education. As a core dimension of global competence, empathy enables individuals to engage diverse perspectives and navigate collaborative challenges.
Aparajita Jaiswal +3 more
wiley +1 more source
From hydrogels to eutectogels: Emerging platforms for stretchable electronics
The transition of wearable electronics toward long‐term reliability requires materials that resist dehydration without sacrificing tissue‐like softness and ionic conductivity. Eutectogels fulfill these demands by immobilizing deep eutectic solvents within tailored polymer networks.
Chang Zhou +14 more
wiley +1 more source

