Results 221 to 230 of about 1,466,928 (294)

Evidence-based resistance training recommendations. [PDF]

Bruce-Low, Stewart
core  

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Combined nandrolone and resistance training induced cardiac remodelling and oxidative stress despite enhanced cardiomyocyte contractility. [PDF]

PLoS One
Moraes AA, Suarez PZ, Quintão AEC, Fontes BL, Costa SFF, Rocha CC, Soares LL, Leite LB, Oliveira LL, Reis ECC, Oliveira EM, Forte P, Natali AJ, Carneiro-Júnior MA.   +13 more
europepmc   +1 more source

Solar Heating Enhanced Selective Recovery of Metal Ions Through Flowing Electrodes Enabled by Hybrid Carbon Nanostructures

Advanced Functional Materials, EarlyView.
A new electrochemical system based on a microporous hybrid of carbon nanoplatelets and nanotubes to selectively capture Ni2+ from wastewater is constructed. The system temperature rises rapidly when irradiated with sunlight, which enhances the Ni2+ removal rate by 250% and the selectivity by 53%, and the energy consumption is also reduced by 51 ...
Ziquan Wang, Jiaqi Chen, Qiuru Lin, Mingxing Liang, Bo Yang, Yantao Chen, Minjun Kim, Yusuke Yamauchi, Stephen J. Eichhorn, Zhiqun Lin, Magdalena Titirici, Libo Deng   +11 more
wiley   +1 more source

Influence of Resistance Training Variables to Improve Muscle Mass Outcomes in Sarcopenia: A Systematic Review With Meta-Regressions. [PDF]

J Cachexia Sarcopenia Muscle
Delaire L, Courtay-Breuil A, Humblot J, Vidal H, Bonnefoy M, Meugnier E.   +5 more
europepmc   +1 more source

The Influence of 16-weeks of Periodized Resistance Training on Vertical Leap and TW20meters Performance Tests for Volleyball Players

, 2015
Ídico Luiz Pellegrinotti
openalex   +1 more source

Quantum‐Grade Nanodiamonds from a Single‐Step, Industrial‐Scale Pressure and Temperature Process

Advanced Functional Materials, EarlyView.
Novel method for creation of nitrogen‐vacancy centers in 50‐nm nanodiamonds based on high‐temperature plastic deformation is demonstrated. Compared to the electron irradiation approach, it yields nitrogen‐vacancy centers with significantly improved charge stability, T1 relaxation time, and optical Rabi contrast.
Yahua Bao, Michal Gulka, Parkarsh Kumar, Jakub Copak, Priyadharshini Balasubramanian, Yuliya Mindarava, Rémi Blinder, Michael Olney‐Fraser, Haotian Wen, Hana Spanielova, Helen Zhi Jie Zeng, Benjamin Whitefield, Igor Aharonovich, Jaroslav Hruby, Fedor Jelezko, J. Daniel Belnap, Shery L. Y. Chang, Petr Cigler   +17 more
wiley   +1 more source

The effect of aerobic and resistance training in patients with type 2 diabetes on vitamin D (DIAVITEX): a study protocol. [PDF]

Front Public Health
Dardashtipour E, Canivell S, Azarbayjani MA, Fuente-Vidal A, Surroca A, Gascón P, Mestres C, Antón A, Peña-Mateo MJ, Carrillo-Alvarez E, Canudas AM, Guerra-Balic M, Montané J.   +12 more
europepmc   +1 more source

Advances in Stimuli‐Responsive Organic Materials and Polymers toward Intelligent CO2 Capture

Advanced Functional Materials, EarlyView.
Schematic illustration of the relationship between different stimuli and stimuli‐responsive organic materials and polymers for carbon dioxide (CO2) capture. Main stimuli include redox, pH, magnetism, temperature, light, and pressure. Furthermore, multi‐responsive materials, due to their high adaptability and scalability in complex environments, are ...
Jian Zhou, Marc Deissenroth‐Uhrig, Markus Gallei   +2 more
wiley   +1 more source

Machine Learning-Driven Muscle Fatigue Estimation in Resistance Training with Assistive Robotics. [PDF]

Sensors (Basel)
Baek JY, Kwon JH, Khan H, Lee MC.
europepmc   +1 more source