Results 121 to 130 of about 86,418 (195)

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

MOOC‐Empowered Blended Teaching Mode in Human Anatomy: A Structural Equation Modeling Analysis

Clinical Anatomy, EarlyView.
ABSTRACT Human anatomy, a cornerstone course in medical education, faces several challenges, such as teaching resource shortages, compressed class hours, and heavy student workloads. Traditional teaching models of anatomy often fall short in stimulating interest, promoting deep understanding, and enhancing learning engagement.
Mingxin Wen, Mengjie Wu, Haiwei Meng, Rui Song, Yanlai Hu   +4 more
wiley   +1 more source

Continuous auricular acupuncture and daytime intermittent electroacupuncture as a complementary therapeutic improve glycemic variability and stability under Continuous Glycemic Monitoring System in hospitalized diabetic patients. [PDF]

Front Endocrinol (Lausanne)
Jin J, Wen S, Liu H, Chen L, Ren Y, Gong M, Yuan X, Li J, Zhou L.   +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

Exercise attenuates stress-related signaling as sensed by higher phosphorylation of small heat shock proteins in skeletal muscle from older individuals. [PDF]

J Sport Health Sci
Frankenberg NT, Wyckelsma VL, Ellul D, Petersen AC, Levinger I, McKenna MJ, Murphy RM.   +6 more
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

Physiological determinants of heart rate responses and bout-to-bout stability during 2v2 and 4v4 small-sided games in football players. [PDF]

Front Public Health
Kisilewicz A, Smoter M, Trybulski R.
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

The effect of doping, anti-doping measures, and sociological factors on the annual distribution of all-time top performances in short, middle, and long-distance running. [PDF]

Front Sports Act Living
Dragcevic D, Jaksic J, Libric L, Jaksic O, Radic-Kristo D, Pandzic V, Jaksic O.   +6 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