Results 141 to 150 of about 91,248 (260)

Development of Medical Training Equipment through Prototyping, Wayfaring, and Triple Loop Learning: Industrial Research at Laerdal Medical

, 2023
Prototyping has become widely adopted across engineering design practices and is suggested practical and reflective advantages in new product development. Although this has yielded increased research focus, holistic and empirically grounded insight into —what prototyping entails in projects, how prototyping is facilitated, and why prototyping should be
openaire   +1 more source

Assessing Mesoscale Heterogeneities in Hard Carbon Electrodes Through Deep Learning‐Assisted FIB‐SEM Characterization, Manufacturing and Electrochemical Modeling

Advanced Energy Materials, EarlyView.
A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan, Imelda Cardenas‐Sierra, Pei Sun, Hari Raj, Daniele Duranti, Mahnoor Nafees, Edoardo Rossi, Marco Sebastiani, Paul Vigneaux, Martin Petit, Maxime Moreaud, Francisco Fernandez, Alejandro A. Franco   +12 more
wiley   +1 more source

A hemoglobin concentration dataset derived from triple-wavelength photoplethysmography for machine learning applications. [PDF]

Data Brief
Abuzairi T, Maharani DB.
europepmc   +1 more source

Critically Generated Knowledge – the Triple Loop Learning Result

Management - Journal for theory and practice of management, 2012
openaire   +1 more source

Self‐Activating Electrocatalysts for Water Splitting: Advancing Structure–Performance Understanding and Beyond

Advanced Energy Materials, EarlyView.
Self‐activating electrocatalysts offer strong potential for advanced water splitting, enabled by their dynamic compositional and structural evolution during operation. This review highlights recent advances in self‐activating OER and HER catalysts, emphasizing the driving forces and mechanisms underlying their adaptive behavior. A conceptual network of
Christean Nickel, Bahareh Feizi Mohazzab, Kiarash Torabi, David Leander Troglauer, Guillermo Corea, Shikang Han, Dandan Gao   +6 more
wiley   +1 more source

Transforming district health systems into learning health systems: An improved strategy from the District.Team experience in Benin and Guinea. [PDF]

Learn Health Syst
Millimouno TM, Bello KOA, Dossou JP, Delamou A, Meessen B.   +4 more
europepmc   +1 more source

Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries

Advanced Energy Materials, EarlyView.
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu, Huaping Zhao, Lizhuang Chen, Weidong Shi, Guosheng Shao, Yong Lei   +5 more
wiley   +1 more source

Breaking the glass ceiling: concretising learning systems for vaccination by 2030 and beyond in Africa. [PDF]

BMJ Public Health
Adamu AA, Rey L, Teka Bekele A, Masresha BG, Wiysonge CS.   +4 more
europepmc   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

From microfluidics to nanodelivery: artificial intelligence reshapes neuropharmacology research strategies. [PDF]

Front Pharmacol
Chen C, Du X, Yang J, Zeng Y, Xie H, Wang D, Qi P, Zeng Y.   +7 more
europepmc   +1 more source