Results 131 to 140 of about 69,307 (250)

Neurofly 2008 abstracts : the 12th European Drosophila neurobiology conference 6-10 September 2008 Wuerzburg, Germany [PDF]

, 2009
This volume consists of a collection of conference ...
Buchner, Erich, Heisenberg, Martin
core  

A Novel 10‐Protein Score for Liver Fat Content Predicts Cardiovascular‐Kidney‐Metabolic Disease Risk

Advanced Science, EarlyView.
A novel 10‐protein plasma score precisely quantifies liver fat, outperforming the fatty liver index. It robustly predicts the risk of numerous cardiovascular‐kidney‐metabolic diseases and integrates with genetic data for precision prevention, offering a practical alternative to magnetic resonance imaging (MRI). Abstract Liver fat content (LFC) is a key
Xiaoqin Gan, Yuanxiu Wei, Yiting Wu, Xinyue Su, Gangling Wang, Sisi Yang, Ziliang Ye, Yanjun Zhang, Hao Xiang, Yu Huang, Yiwei Zhang, Yuanyuan Zhang, Xianhui Qin   +12 more
wiley   +1 more source

Analysis of the relationship between insomnia and adult chronic diseases with regard to working conditions

Family Medicine & Primary Care Review, 2020
Weronika Wolińska, Halina Brzeźniak, Bożena Mroczek   +2 more
doaj   +1 more source

Brief Psychoeducational and Cognitive Therapy for Nightmare Disorder (BPCT-ND)

Sleep Science
In adults, nightmare disorder is related to sleep deprivation, drug consumption or abuse, or other comorbid sleep disorders such as insomnia or insufficient sleep syndrome.
Horacio Balam Álvarez-García, Ulises Jiménez-Correa   +1 more
doaj   +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

A Wireless, Battery‐Free Artificial Throat Patch with Deep Learning for Emotional Speech Recognition

Advanced Science, EarlyView.
In this work, Xu and co‐workers develop a wireless, battery‐free artificial throat patch system (ATPS) consisting of a carbon nanotube‐based thin‐film strain sensor and a miniaturized flexible printed circuit board, to enable real‐time sensing of throat signals.
Bingxin Xu, Guanming Lin, Xiaohui Hong, Chuting Liu, Xinyi Qu, Kangjian Jiao, Lei Zhang, Bingzhe Xu, Jun Yan, Yancong Qiao, Xudong Lin   +10 more
wiley   +1 more source

OCTN2 Activates a Non‐Canonical Carnitine Metabolic Pathway to Promote MASH‐HCC Progression and Immunotherapy Resistance

Advanced Science, EarlyView.
In non‐MASH‐HCC, L‐carnitine promotes tumor progression primarily through its classical role in enhancing fatty acid oxidation (FAO). However, in MASH‐HCC, where FAO is markedly suppressed, L‐carnitine shifts from this canonical function to serve instead as an intracellular acetyl group buffer.
Chuqi Xia, Xiao Zhang, Jinze Li, Ning Xu, Sheng Hu, Qiyu Lu, Yuxuan Li, Taifu Xiao, Xu Li, Xue Wang, Kequan Xu, Daoming Liang   +11 more
wiley   +1 more source

Withdrawal of benzodiazepines in the elderly inpatients: how to do it? [PDF]

, 2010
A
Cankurtaran, Mustafa, Petrovic, Mirko
core   +1 more source

H⁺ Exchange‐Driven ppb‐Level and High‐Selective Formaldehyde Detection at Room Temperature for Environmental and Clinical Applications

Advanced Science, EarlyView.
This article presents an innovative room‐temperature formaldehyde sensor based on H⁺ exchange method, achieving ppb‐level detection limit and exceptional selectivity. The study highlights its practical potential for real‐time environmental monitoring and clinical diagnostic applications.
Lubing Cai, Mengyang Pang, Zhaosong Liu, Yanfei Li, Jiani Li, Zhaorui Zhang, Fengshuang Zheng, Chao Li, Ang Zheng, Xuemin Zhang   +9 more
wiley   +1 more source

Artificial Intelligence‐Driven Soft Bioelectronics for Self‐Powered Respiration Monitoring

Advanced Science, EarlyView.
Artificial intelligence‐driven soft bioelectronics for self powered respiration monitoring based on triboelectric nanogenerators (TENGs), piezoelectric nanogenerators (PENGs), and magnetoelastic generators (MEGs) enable continuous and multi‐scenario respiratory biomechanical data collection. Coupled with machine learning and big data driven diagnostics,
Xinkai Xu, Xiao Xiao, Rui Guo, Jun Chen
wiley   +1 more source