Results 271 to 280 of about 1,083,440 (357)

Hours risk, wage risk, and life-cycle labor supply

, 2018
Robin Jessen, Johannes König
openalex   +2 more sources

Principles for Rigorous Design and Application of Synthetic Microbial Communities

Advanced Science, EarlyView.
SynComs are artificially designed to enable inter‐species metabolic interactions, metabolic division of labor, and ecological interactions that can elicit phenotypes like colonization stability and environmental adaptation. This systematic review explores the processes used to construct SynComs, the assessment of the mechanisms of metabolic interaction
Yuxiao Zhang, Minyu Jing, Lihui Lyu, Li Nie, Xihui Xu, Ru Sun, Xiyuan Xu, Siyu Chen, Shuobing He, Yumeng Zhang, Ping Huang, Weijie Luo, Jiaojiao Liang, Guifeng Gao, Kunkun Fan, Teng Yang, Liyan Zhang, Xiao Fu, Sarah M. Allard, Jack A. Gilbert, Jiabao Zhang, Haiyan Chu   +21 more
wiley   +1 more source

Changes in Spending and Labor Supply in Response to a Social Security Benefit Cut: Evidence from Stated Choice Data. [PDF]

J Econ Ageing, 2017
Delavande A, Rohwedder S.
europepmc   +1 more source

A Closed‐Loop Hybrid Discovery System of Type I Photosensitizers for Hypoxic Tumor Therapy

Advanced Science, EarlyView.
The work developed a closed‐loop hybrid discovery system to rationally design and predict high‐performance Type I PSs for hypoxic tumor therapy. 664 Potential candidates are identified from a dataset through a support vector machine (SVM) classification model, and two candidates are experimentally verified as Type I PSs, which highlighted the potential
Xia Ling, Yixin Zhu, Min Li, Zongliang Xie, Lei Cao, Wentao Song, Dandan Wang, Duo Mao, Xiaonan Wang, Bin Liu   +9 more
wiley   +1 more source

POLICY VARIATION, LABOR SUPPLY ELASTICITIES, AND A STRUCTURAL MODEL OF RETIREMENT. [PDF]

Econ Inq, 2015
Manoli D, Mullen KJ, Wagner M.
europepmc   +1 more source

cDC1 Subtype‐Specific In Vivo Targeting of Liposomes

Advanced Science, EarlyView.
Dendritic cells, particularly the cDC1 subtype, offer a promising target for drug delivery via liposomes due to their pivotal role in immune regulation, allowing for amplified therapeutic responses. Herein, we show an integration of physicochemical characterization and cell experiments to achieve effective in vivo cDC1 targeting through anti‐CLEC9A ...
Maximilian Schaaf, Michael Fichter, Lin Jian, Felicia Schön, Carina Jung, Paul Schneider, Kai Speth, Ana Mateos‐Maroto, Volker Mailänder, Kaloian Koynov, Svenja Morsbach, Katharina Landfester   +11 more
wiley   +1 more source

Mendelian Randomization and Double Machine Learning Modeling Reveal Brain Imaging‐Derived Phenotypes as Functional Contributors to 18 Autoimmune Inflammatory Diseases

Advanced Science, EarlyView.
This schematic integrates the eight statistically significant causal relationships identified between 1,366 brain imaging‐derived phenotypes (IDPs) and 18 autoimmune inflammatory diseases (AIDs). Arrows indicate the direction of causality inferred from bidirectional two‐sample MR analyses.
Jinbin Chen, Xin Wang, Haifeng Ding, Bosheng Zheng, Keni Zeng, Chuying Hu, Jiayi Liu, Xiao Zhu, Haibing Yu   +8 more
wiley   +1 more source

Label‐Free Leukocyte Biophysical Profiling Using Impedance‐Deformability Cytometry for Rapid Cardiovascular Risk Stratification

Advanced Science, EarlyView.
This study presents an impedance‐based single‐cell profiling platform that quantifies the electrical and mechanical properties of neutrophils across in vitro, in vivo, and clinical samples. The approach reveals distinct biophysical alterations associated with type 2 diabetes (T2DM) and cardiovascular complications, suggesting its potential utility for ...
Linwei He, Hui Min Tay, Feng Chen, Hong Sheng Cheng, Liang De Wang, Qiqi Nam, Arunachalam Thannirmalai, Lingyan Gong, Aram J. Chung, Nguan Soon Tan, King Ho Holden Li, Rinkoo Dalan, Siu Ling Wong, Han Wei Hou   +13 more
wiley   +1 more source

UniMR: A Plug‐and‐Play Framework of Automated Molecular Recognition for Scanning Tunneling Microscopy

Advanced Science, EarlyView.
UniMR, a training‐free framework for automated molecular recognition in STM images. By integrating adaptive feature selection with CLIP embeddings and Gaussian Mixture Modeling, UniMR achieves robust performance across diverse molecular systems and low‐resolution conditions.
Ziqiang Cao, Lingyin Zhang, Bingzheng Wu, Haonan Chen, Junhao Sun, Linghao Yan, Wenfei Li, Yangyang Wu, Zhifang Wang, Qigang Zhong, Lifeng Chi   +10 more
wiley   +1 more source