Results 41 to 50 of about 129,198 (265)

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

FEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source

Recent Advances in Regulation Strategy and Catalytic Mechanism of Bi-Based Catalysts for CO2 Reduction Reaction

Nano-Micro Letters
Highlights Six major types of structural regulation strategies of various Bi-based catalysts used in photoelectrocatalytic CO2 reduction reaction (CO2RR) in recent years are comprehensively summarized.
Jianglong Liu, Yunpeng Liu, Shunzheng Zhao, Baotong Chen, Guang Mo, Zhongjun Chen, Yuechang Wei, Zhonghua Wu   +7 more
doaj   +1 more source

Synchrotron radiation data-driven artificial intelligence approaches in materials discovery

Artificial Intelligence Chemistry
Synchrotron radiation technology provides high-resolution and high-sensitivity information for many fields such as material science, life science, and energy research.
Qingmeng Li, Rongchang Xing, Linshan Li, Haodong Yao, Liyuan Wu, Lina Zhao   +5 more
doaj   +1 more source

CTF-PARCS Core Multi-Physics Computational Framework for Efficient LWR Steady-State, Depletion and Transient Uncertainty Quantification

Energies, 2022
Best Estimate Plus Uncertainty (BEPU) approaches for nuclear reactor applications have been extensively developed in recent years. The challenge for BEPU approaches is to achieve multi-physics modeling with an acceptable computational cost while ...
Gregory K. Delipei, Pascal Rouxelin, Agustin Abarca, Jason Hou, Maria Avramova, Kostadin Ivanov   +5 more
doaj   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source

Recent developments and discoveries in natural hazards mitigation research at the NHERI Lehigh Experimental Facility

Frontiers in Built Environment
Natural hazards, including hurricanes and earthquakes, can escalate into catastrophic societal events due to the destruction of the built environment. To minimize the impact of such hazards on vulnerable communities, civil infrastructure must be designed
Liang Cao, Thomas M. Marullo, James Michael Ricles, James Michael Ricles, Richard Sause, Richard Sause, Claudia Reis, Claudia Reis, Joseph Saunders   +8 more
doaj   +1 more source

Simulation and Validation of Droplet Generation Process for Revealing Three Design Constraints in Electrohydrodynamic Jet Printing

Micromachines, 2019
Droplet generation process can directly affect process regulation and output performance of electrohydrodynamic jet (E-jet) printing in fabricating micro-to-nano scale functional structures.
Yanqiao Pan, Liangcai Zeng
doaj   +1 more source

Electro-Mechanical Whole-Heart Digital Twins: A Fully Coupled Multi-Physics Approach

Mathematics, 2021
Mathematical models of the human heart are evolving to become a cornerstone of precision medicine and support clinical decision making by providing a powerful tool to understand the mechanisms underlying pathophysiological conditions.
Tobias Gerach, Steffen Schuler, Jonathan Fröhlich, Laura Lindner, Ekaterina Kovacheva, Robin Moss, Eike Moritz Wülfers, Gunnar Seemann, Christian Wieners, Axel Loewe   +9 more
doaj   +1 more source

Re‐Awakening Public Attention to the Silent Pandemic of Cancer Among Older Adults in Low‐ and Middle‐Income Countries

Aging and Cancer, EarlyView.
ABSTRACT As global populations age, cancer is increasingly becoming a leading cause of morbidity and mortality among older adults, particularly in low‐ and middle‐income countries (LMICs). Despite accounting for the majority of new cancer cases and deaths, older individuals remain underrepresented in cancer research, clinical guidelines, and health ...
Ibrahim Bidemi Abdullateef, Sunkanmi Folorunsho, Abdulazeez Opeyemi Abdulganiyu   +2 more
wiley   +1 more source

Multi-Physics and Multi-Objective Design of an Axial Flux Permanent Magnet-Assisted Synchronous Reluctance Motor for Use in Electric Vehicles

Machines
In this study, an axial flux double airgap permanent magnet-assisted synchronous reluctance motor (AF-Pma-SynRM) was designed for electric vehicles (EVs).
Emre Gözüaçık, Mehmet Akar
doaj   +1 more source