Results 131 to 140 of about 16,510 (261)
Does access to finance condition firms' green investment responses to environmental pressure? Evidence from Vietnam. [PDF]
Truong DD.
europepmc +1 more source
Challenges and enablers in fluidization technology
Abstract Gas–solid fluidized beds provide excellent heat and mass transfer for high‐throughput operations from coating to catalytic conversion and underpin emerging low‐carbon technologies. Yet industrial reliability, scale‐up, and control lag scientific understanding, particularly as finer, stickier, and more variable feedstocks increasingly challenge
J. Ruud van Ommen, Jia Wei Chew
wiley +1 more source
Serial patent litigation: an emerging strategy to delay entry of generic competition. [PDF]
Bonis T, Kesselheim AS, Tu S.
europepmc +1 more source
A Computational Approach for Biomimetic Design of Liver‐On‐A‐Chip
A biomimetic liver‐on‐a‐chip with antiparallel perfusion was designed using COMSOL‐guided simulation to replicate hepatic acinus transport. Full‐scale modelling revealed diffusion‐dominated, length‐dependent nutrient gradients and low‐shear conditions.
Zhenxu Yang +9 more
wiley +1 more source
The impact of China's National Drug Centralized Procurement Policy on pharmaceutical firm innovation: evidence from a staggered difference-in-differences analysis. [PDF]
Chen Y, Feng W.
europepmc +1 more source
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo +3 more
wiley +1 more source
Temporal invariance of centrality correlations and hierarchical topology in evolving cross-shareholding networks in Japan (2001-2023). [PDF]
Tanabe S, Ohnishi T.
europepmc +1 more source
Predicting Performance of Hall Effect Ion Source Using Machine Learning
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source

