Results 271 to 280 of about 1,801,528 (359)

De Novo Design of Membrane‐Targeting Antimicrobial Peptides Against Gram‐Negative Bacteria Using a Generative Artificial Intelligence Framework

Advanced Science, EarlyView.
Antimicrobial resistance caused by Gram‐negative bacteria remains difficult to overcome due to the protective outer membrane. To address this challenge, a multi‐condition constrained generative AI framework, GenMTAMP is proposed for de novo membrane‐targeting antimicrobial peptide design by integrating physicochemical and spatial structure descriptors.
Jingxiao Yu, Da‐Wen Sun, QingYi Wei, Yibing Zhang, Jidong Tang, Hongbin Pu   +5 more
wiley   +1 more source

Airborne Intelligent System for Abnormal Pig Behavior Identification and Locking. [PDF]

Animals (Basel)
Wang Y, Li H, Xiong Z, Hu Y, Hu G, Liu Z.   +5 more
europepmc   +1 more source

Molecular Engineering Mediated Interfacial Assembly as an Artificial Extracellular Matrix Remolds Bacteria With Enhanced Abiotic Resilience

Advanced Science, EarlyView.
A biomimetic artificial extracellular matrix is assembled directly on Pseudomonas fluorescens by co‐assembling amyloid‐like lysozyme and alginate at the cell surface. This conformal nanocoating acts as both a hydration buffer and a physiological priming layer, markedly enhancing desiccation tolerance, seed adhesion, storage stability, and biocontrol ...
Yuanyuan Wang, Zili Jia, Yang Li, Qitao Wang, Shuai Hou, Lei Liu   +5 more
wiley   +1 more source

AI-Enabled Next-Generation Dairy Systems: From Sensors to Smart Processing. [PDF]

Food Sci Nutr
Erol Z, Rugji J, Hamadani A, Hamadani H.
europepmc   +1 more source

Electrical‐Stimulation Hydrogel Electronic Skin for Sustainable Hybrid Biomechanical–Electromagnetic Energy Harvesting and Accelerating Wound Healing

Advanced Science, EarlyView.
A hybrid biomechanical–electromagnetic energy‐harvesting e‐skin is developed using a gelatin‐based outer matrix with a zwitterionic conductive inner layer. The e‐skin autonomously generates stable electrical stimulation from daily body motion and ambient electronics, enabling significantly enhanced wound healing bothin vitro and in vivo.
Syun‐Hong Chou, Ming‐Han Lu, Wei‐Chen Peng, Wei‐Chun Yang, Pei‐Yi Liu, Yu‐Hsuan Yang, Yi‐Lin Huang, Cheng‐Hung Tsai, Ting‐Yu Yang, Xuan Zhang, Zhi‐Xian Yan, Ying‐Chih Lai, San‐Yuan Chen   +12 more
wiley   +1 more source

Determinants of adoption of climate-smart agriculture (CSA) practices in mushroom farming in Bangladesh. [PDF]

Sci Rep
Haq I, Rahman M, Datta T, Rakib MH, Nobrega D.   +4 more
europepmc   +1 more source

Epidermal METTL1‐Mediated m7G Modification Drives Psoriatic Inflammation by Stabilizing Bdkrb1 and Orchestrating Neutrophil Recruitment

Advanced Science, EarlyView.
This study unveils an unrecognized pro‐inflammatory epitranscriptomic checkpoint in psoriasis. By installing m7G modifications on the 5′ UTR of Bdkrb1 mRNA, METTL1 enhances receptor stability to orchestrate keratinocyte‐driven neutrophil recruitment via p38 MAPK signaling.
Chang Zhang, Jiayi Lu, Sihao Yan, Yirui Wang, Zhuo Li, Weiwei Chen, Yang Han, Ziyan Zhang, Yafen Yu, Qi Zhen, Liangdan Sun   +10 more
wiley   +1 more source

Enhancing Pig Behavior Recognition in Complex Environments: A Transfer Learning-Assisted YOLO11 Network with Wavelet Convolution and Synergistic Attention. [PDF]

Animals (Basel)
Wang T, Hu Y, Yin H.
europepmc   +1 more source

Discriminator‐Guided Inverse Folding for Multi‐Property Protein Design

Advanced Science, EarlyView.
Discriminator‐Guided Inverse Folding (DGIF) integrates multiple property predictors trained from single‐property datasets to guide protein sequence generation from a backbone structure. DGIF enables simultaneous improvement of thermostability and solubility without requiring multi‐property annotated datasets and generates designs that move toward the ...
Yuchuan Zheng, Chuyi Liu, Zhaoming Liu, Mao Su, Chenyu Tang, Xiang Zheng, Hao Zhang, Jingyuan Li   +7 more
wiley   +1 more source

An evaluation of machine learning for soil analysis in internet of things-enabled smart farming. [PDF]

Sci Rep
Chaudhary P, Gulia P, Gill NS, Alduaiji N, Shukla PK, Vishnoi S.   +5 more
europepmc   +1 more source