Results 141 to 150 of about 3,322 (211)

Periodization for success-in-season external training loads relative to competition load in American football. [PDF]

Front Sports Act Living
Johnson QR, Yang Y, Cabarkapa D, Sealey D, Stock S, Gleason D, Frels C, Rink M, Fry AC.   +8 more
europepmc   +1 more source

Hyperledger Fabric for the (digitalized) lifecycle of construction products: Applied review on fastening technology

Civil Engineering Design, Volume 7, Issue 1, Page 9-22, March 2025.
Abstract Blockchain technology is a digital decentralized data ledger recording transactions in an encrypted format. Its implementation can potentially hold significant advantages for the built environment, particularly in manufacturing and building product usage aligned with Building Information Modeling (BIM). This paradigm shift toward decentralized
Aileen Pfeil, Dimosthenis Kifokeris, Panagiotis Spyridis   +2 more
wiley   +1 more source

The effect of basketball intervention on executive function in children with autism spectrum disorders. [PDF]

Front Psychiatry
Wu QF, Cai WM, Du JQ, Chang F.
europepmc   +1 more source

Oxidative Fast Pyrolysis Enabling Autothermal Production of Porous Functionalized Biochar and Anhydrosugar/Phenol‐Rich Bio‐Oil From Biomass

Carbon Energy, EarlyView.
Oxidative fast pyrolysis of biomass enables autothermal production of value‐added products. ABSTRACT Oxidative fast pyrolysis can potentially overcome the heat‐supply bottleneck of conventional fast pyrolysis by enabling autothermal operation while also tailoring product quality through controlled oxygen addition.
Bin Li, Mengge Song, Sunwen Xia, Kexin Jia, Wojciech Jerzak, Yusuf Makarfi Isa, Dongjing Liu, Xing Xie, Qingfa Zhang, Zhong Ma, Mingfeng Wang, Weiwei Liu, Shihong Zhang, Haiping Yang, Rock Keey Liew, Su Shiung Lam   +15 more
wiley   +1 more source

The impact of dance on the mental health of older adults: a network meta-analysis of anxiety, depression, and well-being. [PDF]

Front Psychol
Zhang Y, Ma H.
europepmc   +1 more source

The Future of Foundation Machine Learning Potentials and DFT in Homogeneous Catalysis: Competition or Synergy?

Chemistry – A European Journal, EarlyView.
Machine‐learning potentials are increasingly taking on the exploratory tasks of homogeneous catalysis, enabling rapid conformer sampling and reaction‐space mapping. However, when selectivity depends on subtle electronic effects, electronic‐structure methods remain essential.
Maxime Ferrer, Julen Munarriz, Thijs Stuyver, Ruben Laplaza   +3 more
wiley   +1 more source

Subverting patriarchal narratives: a feminist approach to critical video game design through participatory methods. [PDF]

Front Sociol
Torres-Parra CR, Florez-Florez MJ, Cuervo R, Ramírez-Pérez OF, Fonseca O.   +4 more
europepmc   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

The Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source

Anatomical spatial-temporal distribution and multivariate risk of acute injuries in elite rugby: a cohort based on prospective surveillance. [PDF]

Front Physiol
Chen Z, Wang X, Mei X.
europepmc   +1 more source

ESG Ratings and Firms' Engagement in Global Innovation Ecosystems: Implications for Green Innovation Capacity

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT The increasing salience of climate change has intensified attention to the roe of ESG ratings in shaping firms' green innovation. We examine the link between ESG performance and green innovation, highlighting the role of participation in global innovation networks.
Miaomiao Tao, David Roubaud, Mingzhi Zhang, Qianli Ma   +3 more
wiley   +1 more source