Results 151 to 160 of about 422,572 (333)

Carbon Fiber Reinforced Thermoplastics: From Materials to Manufacturing and Applications

Advanced Materials, EarlyView.
A contemporary and critical review on carbon fiber reinforced thermoplastics. The common thermoplastic and carbon fiber applied in the manufacture of carbon fiber reinforced thermoplastics are summarized, and the processing and postprocessing methods are reviewed, with emphasis on state‐of‐the‐art welding techniques.
Howard (Hao) Wang, Siqi Huo, Venkata Chevali, Wayne Hall, Arnt Offringa, Pingan Song, Hao Wang   +6 more
wiley   +1 more source

Systematic review and meta‐analysis of the effect of exercise training on asprosin in randomized controlled trials

Physiological Reports
Asprosin, a protein that enhances insulin resistance by stimulating hepatic glucose secretion, is linked to obesity, metabolic disorders, and cardiovascular diseases. This systematic review and meta‐analysis investigate the influence of exercise training
Mohammad Rahman Rahimi, Michael E. Symonds, Hassan Faraji, Hadi Golpasandi   +3 more
doaj   +1 more source

EFFECTS OF SUSTAINED HIGH INTENSITY INTERVAL TRAINING (HIT) ON EXERCISE PERFORMANCE, SKELETAL MUSCLE & CARDIAC FUNCTION IN CARDIAC REHABILITATION PATIENTS 491

, 1996
E W Derman, B. L. Hulse, Estelle V. Lambert, Timothy D. Noakes   +3 more
openalex   +1 more source

Inorganic Dielectric Materials Coupling Micro‐/Nanoarchitectures for State‐of‐the‐Art Biomechanical‐to‐Electrical Energy Conversion Devices

Advanced Materials, EarlyView.
Biomechanical‐to‐electrical energy conversion devices are uniquely suited for self‐driven physiological information monitoring and powering human–computer interaction systems. These devices based on micro‐/nanoarchitectured inorganic dielectric materials (MNIDMs) have shown ultrahigh electromechanical performance and thus great potential for practical ...
Jia‐Han Zhang, Zhengtong Li, Zeng Liu, Mingxuan Li, Jiaxin Guo, Jinhua Du, Changkun Cai, Shaohui Zhang, Ningning Sun, Yong Li, Xingtao Xu, Xihong Hao, Yusuke Yamauchi   +12 more
wiley   +1 more source

Effects of 3x3 progressive cycling interval training on cardiovascular fitness and body composition in overweight undergraduates

Pedagogy of Physical Culture and Sports
Background and Study Aim. Obesity has become a global health concern and high-intensity interval training (HIIT) has emerged as an effective exercise modality for improving body composition, promoting weight loss, and increasing cardiovascular fitness ...
Wirat Sonchan, Saralee Sonchan, Pichaya Noppakal, Ratanyoo Longrak   +3 more
doaj   +1 more source

EFFECT OF FIO2 ON OXIDATIVE STRESS DURING HIGH-INTENSITY INTERVAL TRAINING AT MODERATE ALTITUDE

, 2003
Randall L. Wilber, Paige L. Holm, David M. Morris, George M. Dallam, Andrew W. Subudhi, David M. Murray, SAMUEL D. CALLAN   +6 more
openalex   +1 more source

Influence of Ion Size on Structure and Redox Chemistry in Na‐Rich and Li‐Rich Disordered Rocksalt Battery Cathodes

Advanced Materials, EarlyView.
The larger ion size of Na+ versus with Li+ has a pronounced impact on the intercalation chemistry of disordered rocksalt cathode materials. On charge, the disordered rocksalt structure is retained in Li2MnO2F but it is lost in Na2MnO2F resulting in extensive amorphization.
Nicole C. Mitchell, Oliver O. Thomas, Benjamin G. Meyer, Mirian Garcia‐Fernandez, Ke‐Jin Zhou, Patrick S. Grant, Peter G. Bruce, Richard Heap, Ruth Sayers, Robert A. House   +9 more
wiley   +1 more source

PERFORMANCE AND HORMONAL RESPONSES OF COMPETITIVE SWIMMERS TO HIGH-INTENSITY INTERVAL TRAINING AND REGENERATION

, 2003
John Gardner Wilkinson, Axel Urhausen, A. B. Scheidt, B. Coen, Wilfried Kindermann   +4 more
openalex   +1 more source

Effects of exercise capacity between short-term high intensity interval exercise and moderate intensity continuous exercise training in young males [PDF]

, 2011
Qi Liu, Rui Jiang, Jian Qin, Yili Chen, Guifu Wu, Ding Jian-xin   +5 more
openalex   +1 more source

Characterization and Inverse Design of Stochastic Mechanical Metamaterials Using Neural Operators

Advanced Materials, EarlyView.
This study presents a DeepONet‐based machine learning framework for designing stochastic mechanical metamaterials with tailored nonlinear mechanical properties. By leveraging sparse but high‐quality experimental data from in situ micro‐mechanical tests, high predictive accuracy and enable efficient inverse design are achieved.
Hanxun Jin, Boyu Zhang, Qianying Cao, Enrui Zhang, Aniruddha Bora, Sridhar Krishnaswamy, George Em Karniadakis, Horacio D. Espinosa   +7 more
wiley   +1 more source