Results 211 to 220 of about 265,383 (315)

Human Gut Bacteria and Lipidic Nanoparticles: Particle Composition Predicts Structural Transformation and Bacterial Biocompatibility

Advanced Functional Materials, EarlyView.
Lipidic nanoparticles (LNPs) were incubated with 21 gut bacteria frequently associated with the human microbiome. SAXS revealed that ∼75% of tested species induced structural transformations in monoolein LNPs, whereas phytantriol and phospholipid formulations remained unaffected.
Jonathan Caukwell, Emily L. Gulliver, Livia Salvati Manni, Frithjof Herb, Caitlin Welsh, Samuel C. Forster, Andrew J. Clulow, Wye‐Khay Fong   +7 more
wiley   +1 more source

The dRM-Index: Applicability of the Differential Respiratory-to-Muscular Training Load Index in Young Female Soccer Players. [PDF]

J Hum Kinet
Oihan Esnal- A, Ibai Garcia- T, Asier Gonzalez- A, Los Arcos A.   +3 more
europepmc   +1 more source

Texoskeletons: Developing the Fundamental Technologies for Creating Intelligent Soft Robotic Clothing With Integrated 1D Sensors and Actuators

Advanced Functional Materials, EarlyView.
ABSTRACT Traditional wearable exoskeletons rely on rigid structures, which limit comfort, flexibility, and everyday usability. This work introduces the fundamental technologies to create the first soft, lightweight, intelligent textile‐based exoskeletons (Texoskeletons) built using 1D sensors and actuators.
Amy Lukomiak, Rameesh Bulathsinghala, Jack Varga, Shuxin Meng, Kalana Marasinghe, Imaad Refai, Biyon Fernando, Amitkumar Patel, Chamika M. Halloluwa‐Arachchige, Carlos Oliveira, Arash M. Shahidi, Zahra Rahemtulla, Alexander Turner, Ziyun Ding, Bernard X. W. Liew, Andy Kerr, Ezio Preatoni, Theo Hughes‐Riley, Ishara Dharmasena, Pasindu Lugoda   +19 more
wiley   +1 more source

Application and optimization of adaptive genetic algorithm in fencing training load prediction: a data visualization-based analytical approach. [PDF]

Sci Rep
Jia YN.
europepmc   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

Comprehensive multivariate insights into external training load in women's football: four session clusters to optimize weekly periodization. [PDF]

Biol Sport
Barba E, Erkizia B, Casamichana D, Etxebeste U, Castellano J.   +4 more
europepmc   +1 more source

Transfer Printing and Reconfiguration of Soft Electronics Using Digital Microfluidics and Laser Machining

Advanced Functional Materials, EarlyView.
This paper presents a digital microfluidics‐based technique for transferring and reconfiguring soft nanomembranes. Laser‐machined nanothin membranes are picked up, transported, and aligned via tailored surface tension and the actuation of water droplets, enabling the development of flexible electronics, the integration of functional materials on 3D ...
Quang Anh Nguyen, Chi Cong Nguyen, Tran Bach Dang, Phuoc Thien Phan, Jordan Thorpe, Michael Listyawan, Nhat Minh Doan, Sinuo Zhao, Hongru Chen, Trung Thien Hoang, Mingsheng Xu, Jisheng Han, Thanh Nho Do, Adam Hill, Timothée Mouterde, Hoang‐Phuong Phan   +15 more
wiley   +1 more source

Influence of Training Load on the Risk of Injuries in Preprofessional Contemporary Dancers: A Scoping Review. [PDF]

Orthop J Sports Med
Armando C, Kurapati SS, Voulo MA, Gallo RA.   +3 more
europepmc   +1 more source

Historical Foundation and Practical Guideline for Ferroelectric Switching Kinetic Studies

Advanced Functional Materials, EarlyView.
The P and U pulses in the conventional PUND measurements are not identical because of the interplay between switching current and the measurement circuit components. This circuit effect can lead to a shift in polarization transients and misinterpreted physics in the switching kinetics.
Yi Liang, Pat Kezer, John T. Heron
wiley   +1 more source

The Relationship between Training Load Indicators and the Total Quality Recovery Scale during the Preseason Period in Collegiate Taekwondo Athletes. [PDF]

J Hum Kinet
Park CH, Jung HC.
europepmc   +1 more source