Results 161 to 170 of about 64,135 (296)

Dynamics of Neural Adjustments During Progressive Transitions to Unweighted and Reloaded Running. [PDF]

open access: yesScand J Med Sci Sports
Fazzari C   +5 more
europepmc   +1 more source

Defect‐engineered tungsten oxide nanowires as redox‐metabolic nanozymes for gut inflammation‐infection syndromes

open access: yesBMEMat, EarlyView.
Defect‐engineered WO3 nanowires serve as a multifunctional nanozyme platform to treat IBD complicated by Salmonella co‐infection. By integrating catalytic ROS/RNS scavenging and targeted metabolic interference of pathogens via molybdenum substitution, these nanowires effectively resolve intestinal oxidative stress, inhibit infection, and restore ...
Yifan Yuan   +13 more
wiley   +1 more source

The Relationship Between Inter-limb Asymmetry and Sprinting Performance in Sprint Athletes: A Systematic Review. [PDF]

open access: yesSports Med Open
D'Hondt J   +4 more
europepmc   +1 more source

From muscle fibres to muscle gears: how dynamic fascicle orientation and shape change impact skeletal muscle function

open access: yesBiological Reviews, EarlyView.
ABSTRACT Skeletal muscle architectural design strongly affects force‐generating capacity and excursion range, and its functional importance to animal and human movement is well founded. Traditionally, this ‘structure–function relation’ has been inferred from architecture measurements with muscles at rest (from anatomical dissections or medical imaging ...
Matheus D. Pinto   +3 more
wiley   +1 more source

The Degradation of Access‐Based Business Models: Customer Misbehavior and Shared Mobility

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Access‐based services are considered one of the strategies to embed sustainability in business models. Yet, because the evolution of these business models has been overlooked, we do not know whether their promise to create triple value is sustained.
Andres Camacho, Carmen Valor
wiley   +1 more source

Do Governance Structures Drive Green Building Adoption? A Machine Learning Approach With Random Forests

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This study examines the determinants of firms' propensity to adopt green buildings in the Euro Stoxx 300 and the S&P 500 indices, during 2012–2023. Using random forest binary classifiers, we assess the relative importance of financial, sectoral, geographic, and climate governance predictors and uncover nonlinear relationships often overlooked ...
María del Carmen Valls Martínez   +3 more
wiley   +1 more source

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