Results 91 to 100 of about 250,300 (327)

AI‐Based D‐Amino Acid Substitution for Optimizing Antimicrobial Peptides to Treat Multidrug‐Resistant Bacterial Infection

Advanced Science, EarlyView.
This study constructed the first D‐amino acid antimicrobial peptide dataset and developed an AI model for efficient screening of substitution sites, with 80% of candidate peptides showing enhanced activity. The lead peptide dR2‐1 demonstrated potent antimicrobial activity in vitro and in vivo, high stability, and low toxicity.
Yinuo Zhao, Qingzhou Kong, Haifan Gong, Lixiang Li, Jialu Fu, Boyao Wan, Peizhu Wang, Xiaojuan Li, Yue Wang, Jinghui Zhang, Yanbo Yu, Xiaoyun Yang, Xiuli Zuo, Haina Wang, Yanqing Li   +14 more
wiley   +1 more source

Dynamics Matter: Recognition of Reward, Affiliative, and Dominance Smiles From Dynamic vs. Static Displays

Frontiers in Psychology, 2018
Smiles are distinct and easily recognizable facial expressions, yet they markedly differ in their meanings. According to a recent theoretical account, smiles can be classified based on three fundamental social functions which they serve: expressing ...
Anna B. Orlowska, Eva G. Krumhuber, Magdalena Rychlowska, Piotr Szarota   +3 more
doaj   +1 more source

The smile.

South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde, 1971
No ...
openaire   +3 more sources

SAGE: Spatially Aware Gene Selection and Dual‐View Embedding Fusion for Domain Identification in Spatial Transcriptomics

Advanced Science, EarlyView.
SAGE is a unified framework for spatial domain identification in spatial transcriptomics that jointly models tissue architecture and gene programs. Topic‐driven gene selection (NMF plus classifier‐based scoring) highlights spatially informative genes, while dual‐view graph embedding fuses local expression and non‐local functional relations.
Yi He, Yunpei Xu, Liqing Ding, Hong‐Dong Li, Yaohang Li, Shaokai Wang   +5 more
wiley   +1 more source

Connecting to Global Cultures through Literature, Art, and Collaboration

WOW Stories, 2013
An introduction to WOW Stories Volume IV, Issue 7, in which the Artists Reading and Thinking Literacy Community presents vignettes of students, teachers, artists, and university professors exploring the relationship between art, global children's ...
Tracy Smiles
doaj  

Randomized SMILES strings improve the quality of molecular generative models

Journal of Cheminformatics, 2019
Recurrent Neural Networks (RNNs) trained with a set of molecules represented as unique (canonical) SMILES strings, have shown the capacity to create large chemical spaces of valid and meaningful structures.
Josep Arús-Pous, Simon Viet Johansson, Oleksii Prykhodko, Esben Jannik Bjerrum, Christian Tyrchan, Jean-Louis Reymond, Hongming Chen, Ola Engkvist   +7 more
doaj   +1 more source

Sit Down and Cry: Why Our Favorite Joke is Demeaning [PDF]

, 2012
A family of visitors walks up to the information desk and smiles at the interpreter. We have 15 minutes, the father says, What should we do?
Rudy, John M.
core   +1 more source

A Microfiber‐Reinforced Janus Hydrogel E‐Skin With Recyclable Feature for Multimodal Sensing and Gender‐Specific Physiological Monitoring

Advanced Science, EarlyView.
Hydrogel‐based wearable electronics hold great promise for physiological monitoring in privacy‐sensitive regions. In this study, a polyurethane (PU) microfiber‐reinforced gelatin hydrogel e‐skin is developed, boasting multiple advantages such as ultra‐thinness, high toughness, and long‐term skin conformability.
Yarong Ding, Yufeng Li, Shaozhe Tan, Jiachun Sun, Xu Yang, Xuesi Zhang, Zhenhua Lin, Zhenyu Li, Yue Hao, Yannan Liu, Yingchun Li, Jingjing Chang   +11 more
wiley   +1 more source

The proximate mechanisms and ultimate functions of smiles [PDF]

, 2017
Niedenthal et al's classification of smiles erroneously conflates psychological mechanisms and adaptive functions. This confusion weakens the rationale behind the types of smiles they chose to individuate, and it obfuscates the distinction between the ...
Mehu, Marc, N'Diaye, Karim
core  

High‐Conductivity Electrolytes Screened Using Fragment‐ and Composition‐Aware Deep Learning

Advanced Science, EarlyView.
We present a new deep learning framework that hierarchically links molecular and functional unit attributions to predict electrolyte conductivity. By integrating molecular composition, ratios, and physicochemical descriptors, it achieves accurate, interpretable predictions and large‐scale virtual screening, offering chemically meaningful insights for ...
Xiangwen Wang, Muyang Chen, Gengyi Bao, Yan Lai, Jinghe Cao, Xinhua Liu, Rui Tan   +6 more
wiley   +1 more source