Results 191 to 200 of about 113,203 (303)

How Does Commute Time Affect Labor Supply in Urban China? Implications for Active Commuting. [PDF]

Int J Environ Res Public Health, 2020
Wang X, Gong J, Wang C.
europepmc   +1 more source

Disruption of the SNRPF–DDX24–E2F4 Feedback Loop Uncouples Splicing and Transcriptional Regulation to Suppress Ovarian Cancer Progression

Advanced Science, EarlyView.
This study identifies SNRPF as a critical oncogenic driver in ovarian cancer. By regulating a self‐sustaining SNRPF–DDX24–E2F4 feedback loop through intron retention and nonsense‐mediated decay, SNRPF couples RNA splicing with transcriptional regulation to promote tumor progression.
Yingwei Li, Zhongshao Chen, Qianqian Gao, Yuehan Gao, Ning Yang   +4 more
wiley   +1 more source

Spousal Labor Supply as Insurance: Does Unemployment Insurance Crowd Outthe Added Worker Effect? [PDF]

We consider the role of spousal labor supply as insurance against spells of unemployment. Standard theory suggests that women should work more when their husbands are out of work (the Added Worker Effect or AWE), but there has been little empirical ...
Julie Berry Cullen, Jonathan Gruber
core  

Glomage: A Multimodal Platform for High‐Content Morphological and RNA Profiling of Glomeruli in Zebrafish and Mouse Models

Advanced Science, EarlyView.
Understanding how glomeruli, the kidney's filtration units, function in intact tissue remains challenging. Glomage enables rapid 3D imaging and quantitative analysis of entire glomeruli from zebrafish larvae and mice. This approach allows scalable cell quantification and detection of structural changes, advancing kidney disease research and ...
Maximilian Schindler, Tim Lange, Sophia‐Marie Bach, Soeren S. Lienkamp, Nicole Endlich   +4 more
wiley   +1 more source

SERS Facemask for Rapid and Portable Sensing Mycobacterium Tuberculosis Antigens for TB Screening

Advanced Science, EarlyView.
Our study introduced an Au─Ag embedded covalent organic framework (U@COF) ‐mediated facemask for sensing TB antigen ESAT‐6/CFP‐10 complex in clinical droplet samples toward TB screening. Practical analysis of clinical samples demonstrated the availability of our facemask, which is capable of identifying the TB subjects (N = 17) from healthy candidates (
Lingzhi Chen, Jiaqi Yu, Jing Xu, Lingqi Chen, Ninghao Zhang, Wenrui Li, Runmin Zeng, Xiaomin Luo, Yiqun Chang, Jiayin Lai, Wenshi Huang, Xiaochen Liang, Ting Zhao, Shanze Chen, Huaihong Cai, Yanguang Cong, Pinghua Sun, Jiang Pi, Xueqin Huang, Haibo Zhou, Junxia Zheng   +20 more
wiley   +1 more source

Lifetime aggregate labor supply with endogenous workweek length [PDF]

This paper studies lifetime aggregate labor supply with endogenous workweek length. Such a theory is needed to evaluate various government policies. A key feature of our model is a nonlinear mapping from hours worked to labor services. This gives rise to
Johanna Wallenius, Richard Rogerson, Edward C. Prescott   +2 more
core  

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing

Advanced Science, EarlyView.
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale, Marie Celine Lefevre, Alessio Carmignani, Maria Cristina Ceccarelli, Matteo Battaglini, Attilio Marino, Gianni Ciofani   +6 more
wiley   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source