Results 61 to 70 of about 6,117 (247)

A Plug‐and‐Play Platform for Customizing Multivalent Degraders and Degrader‐Drug Conjugates

Advanced Science, EarlyView.
Membrane proteins remain challenging targets for conventional TPD approaches. Here, the authors develop UPTAB, a modular platform leveraging ultrahigh‐affinity orthogonal Im/CL protein pairs for lysosomal degradation of membrane proteins. Mono‐targeted (Type‐I), dual‐targeted (Type‐II), and tri‐targeted (Type‐III) UPTABs enable simultaneous degradation
Mengqing Zhao, Yan Deng, Jianjian Han, Yong Xie, Kai Bao, Lixin Ma, Lilong Liu, Wuxiang Mao   +7 more
wiley   +1 more source

Methodology for automatic recovering of 3D partitions from unstitched faces of non-manifold CAD models [PDF]

, 2013
Data exchanges between different software are currently used in industry to speed up the preparation of digital prototypes for Finite Element Analysis (FEA).
PERNOT, Jean-Philippe, MIKCHEVITCH, Alexei   +1 more
core   +1 more source

A Quick Development Toolkit for Augmented Reality Visualization (QDARV) of a Factory

, 2022
Augmented reality (AR) technology has been applied to the industrial field; however, at present, most industrial AR applications are developed for specific application scenarios, which are difficult to develop and have a long development cycle, and lack ...
Yong Pan, Chengjun Chen, Runbei Liang, Yang Guo, Zhengxu Zhao, Qinghai Zhang, Dongnian Li   +6 more
core   +1 more source

Tuning Interfacial Water Dynamics via Gd‐Doped Cu2O for High‐Rate Selective CO2‐to‐Ethanol Conversion

Advanced Energy Materials, EarlyView.
A Gd‐doped Cu2O electrocatalyst disrupts rigid interfacial hydrogen‐bonding networks, creating a free‐water‐rich microenvironment. This accelerates proton‐coupled electron transfer, enabling selective high‐rate CO2‐to‐ethanol conversion with 48.5% Faradaic efficiency at industrially relevant current densities.
Hyunwoo Kim, Hyo Sang Jeon, Eugene Huh, Man Ho Han, Hyeon‐Seok Bang, Junho Lee, Jae‐Young Choi, Dong Ki Lee, Kyeongsu Kim, Byoung Koun Min, Woong Hee Lee, Hyung‐Suk Oh   +11 more
wiley   +1 more source

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

Agribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani, Jason de Koff, James Muriuki, Anna‐Liisa Ihuhwa   +3 more
wiley   +1 more source

Asking the 5 W's for designing next‐generation bioprocessing

AIChE Journal, EarlyView.
Abstract Biotechnology is expanding beyond traditional, centralized fermentation and toward next‐generation bioprocessing paradigms that emphasize flexible deployment outside the laboratory with application‐specific performance. However, many bioprocesses fail to translate beyond proof‐of‐concept into industrially viable systems because early design ...
Sangdo Yook, Karoline Maria Vieira Nogueira, Raj Sukumar, Jenna Miller, Hal S. Alper   +4 more
wiley   +1 more source

Metabolic engineering of Bacillus subtilis for high-yield surfactin production

Biotechnology for Biofuels and Bioproducts
The industrial application of surfactin has been constrained by the low production capacity of Bacillus subtilis. This study developed a high-yield, high-tolerance surfactin-producing strain through a multi-level metabolic engineering strategy. First, we
Yong Wang, Hanqing Li, Yue Mao, Pengfei Li, Haizhen Wu, Jiang Ye, Huizhan Zhang   +6 more
doaj   +1 more source

MAESTRI toolkit for industrial symbiosis: Overview, lessons learnt and implications

, 2019
This paper presents a structured approach to support the development of self-organized industrial symbiosis, the Toolkit for Industrial Symbiosis. Developed within MAESTRI project, it provides a set of tools and methods to help companies gain value from ...
Holgado, M, Estrela, MA, Morgan, D, Rossini, R, Silva, EJ, Baptista, AJ, ,, Benedetti, M, Dubois, M, Ferrera, E, Evans, S, Li, Y, Lourenço, E   +12 more
core  

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Energy-coupled CO2 capture–conversion via membrane–adsorption integration: Quantitative benchmarks and pilot-scale design

Carbon Capture Science & Technology
This review advances a unified framework for engineering low-energy, high-efficiency CO2 capture–conversion platforms by co-designing membranes, adsorbents, and multi-field catalytic modules.
Hailing Ma, Xin Zhang, Yao Tong, Yew Mun Hung, Xin Wang   +4 more
doaj   +1 more source