Results 161 to 170 of about 107,677 (247)

Targeting Tumor Necrosis Factor-α Mitigates Glucose Fluctuation-Induced Aortic Valve Fibrosis: Insights From Diabetic Rat Models. [PDF]

Rev Cardiovasc Med
Chen YJ, Chen HP, Zhang CY, Rong XS, Li KL, Xiao F, Wang RX.   +6 more
europepmc   +1 more source

Quasi‐Periodic Porous Structures‐Based Temperature and Pressure Dual‐Mode Electronic Skin for Material Cognition

Advanced Science, EarlyView.
A quasi‐periodic porous structure‐based temperature and pressure dual‐mode electronic skin was proposed. Benefiting from the quasi‐periodic porous structure, the temperature and pressure sensing performance of the electronic skin can be precisely constructed and optimized by changing the size of the porous structure. By analyzing the thermoelectric and
Xiaoguang Gao, Chengzhen Xue, Xiaoliang Zhang, Xuejuan Meng, Xiaochun Li, Li Niu   +5 more
wiley   +1 more source

Recycling and Reusing of Waste Aircraft Composites in Thermoplastic and Thermoset Matrices. [PDF]

Materials (Basel)
Latko-Durałek P, Sałasińska K, Bereska B, Bereska A, Czajka-Warowna A, Durałek P, Kosarli M, Koutrakou A, Sałaciński M, Booto G, Grammatikos S.   +10 more
europepmc   +1 more source

High-Resolution Detection of Periglacial Landforms Deformation Using Radarsat-2 and GF-7 Stereo Optical Imagery

Xuefei Zhang, Min Feng, Tao Li, Jiyi Chen, Decai Jiang, Jinhao Xu, Dezhao Yan, Xiaoqing Zhou, Xiang Zhang, Jing Lu   +9 more
openalex   +1 more source

DCAF13 Safeguards Hematopoietic Stem Cells via RRS1‐Regulated Ribosome Biogenesis

Advanced Science, EarlyView.
This study establishes DCAF13 as an essential regulator for hematopoietic stem cell (HSC) function. Its deletion in mice causes lethal pancytopenia and HSC depletion. Mechanistically, DCAF13 interacts with RRS1 and mediates its non‐degradative K27‐linked ubiquitination, thereby stabilizing RRS1 to maintain ribosome biogenesis and protein translation ...
Mengke Li, Yuxin Wu, Shuai Zhou, Peipei Tang, Jiaming Wei, Ling Liu, Zhenyi Wang, Deyang Shi, Shengnan Yuan, Qingyu Zhang, Shihui Wang, Qing Zhang, Huan Zhao, Rui Zhang, Yingying Wang, Shiwei Yang, Xiangli Chen, Xiaojing Shi, Guangzhi Liu, Yuwei Zhang, Jinming Li, Xu Dong Zhang, Rick F Thorne, Dongping Wei, Zumin Zhu, Song Chen   +25 more
wiley   +1 more source

Towards Ultra-Rapid and High-Toughness Cementing: A Synergistic Acceleration Leveraging Aluminum Sulfate and Sodium Alginate Copolymer Along with Glass Fibers. [PDF]

Nanomaterials (Basel)
Song Z, Chaudhary S, Ding Y, Yan Y, Wu Y, Jia Q, Li X, Sun Y.   +7 more
europepmc   +1 more source

Gut–Metabolome–Proteome Interactions in Age‐Related Hearing Loss: Insights from Fecal Microbiota Transplantation and Multi‐Omics Analyses

Advanced Science, EarlyView.
Germ‐free (GF) mice receiving fecal microbiota transplantation (FMT) reveal microbiota‐dependent effects on auditory aging. Integrated metagenomic, metabolomic and proteomic profiling maps gut–inner ear network and highlights 5‐hydroxytryptophan (5‐HTP) as a microbiota‐linked metabolic hub in age‐related hearing loss (ARHL).
Ting Yang, Ziwen Gao, Hui Huang, Chanyuan Zhang, Yiquan Tang, Qianhui Qu, Huabin Li, Jing Ke, Zhiji Chen, Menglong Feng, Hu Zhou, Yilai Shu, Wei Yuan   +12 more
wiley   +1 more source

The maternal microbiome influence on pregnancy success: breeding comparison of germ-free and conventionalized mice. [PDF]

Gut Microbes
Xu C, Antonacci S, Marques FZ.
europepmc   +1 more source

Muhammad Ibn Zakariyyâ al-Razi (Rhazès), La médecine spirituelle, introd., trad. notes et bibliogr. de Rémi Brague, Paris, Flammarion, 2003, « GF », 206 p., 7 E. [PDF]

, 2005
Michel Adam
openalex   +1 more source

Recent Advances in Decoupling Strategies for Soft Sensors

Advanced Science, EarlyView.
This review provides an overview of recent advances in decoupling strategies for soft sensors. It summarizes single‐modal sensors that are insensitive to stretching, bending, crosstalk, and other environmental interferences, and highlights emerging multimodal decoupling methods enabled by spatiotemporal information and machine learning.
Yangbo Yuan, Wanqing Zhang, Jia‐Yu Yang, Manqi Peng, Huanyu Cheng   +4 more
wiley   +1 more source