Results 201 to 210 of about 104,361 (260)

GCFR: graph contrastive fault representation for robust diagnosis in power communication networks. [PDF]

Sci Rep
Chen B, Lu G, Zhu Y, Liu C, Qin B, Li J.
europepmc   +1 more source

Glucuronolactone Promotes Mucin Sulfation to Alleviate Deoxynivalenol‐Induced Intestinal Injury via Microbiota‐Dependent and ‐Independent AHR Activation

Advanced Science, EarlyView.
Glucuronolactone (GLU) as a natural metabolite of glucose, increases Lactobacillus amylovorus abundance and luminal IAA level to activate AHR signaling. In addition, GLU itself can directly elevate AHR signaling activity independently of microbiota and IAA.
Chenbin Cui, Beibei Zhang, Jiaxi Tang, Jing Hou, Yueqin Qiu, Kaiguo Gao, Li Wang, Zongyong Jiang, Xuefen Yang   +8 more
wiley   +1 more source

18β‐Glycyrrhetinic Acid and a Nano‐Liposomal Formulation Alleviate Depression‐Like Behaviors via the Microglial mTOR‐Autophagy‐NLRP3 Axis

Advanced Science, EarlyView.
Using a novel zebrafish‐based inflammatory screening strategy, we screened and identified 18β‐glycyrrhetinic acid (18β‐GA) as a promising anti‐inflammatory candidate. We uncover a microglial mTOR–autophagy–NLRP3 axis that constitutes the mechanistic core of 18β‐GA–mediated neuroprotection.
Hua Gan, Haitao Yuan, Wenjun Zhu, Xiaokang Xie, Shen Zhou, Wenzhi Hao, Xiaowei Mo, Lian Yang, Xiaojuan Li, Junshan Liu, Lijuan Deng, Jiaxu Chen   +11 more
wiley   +1 more source

EEG-Pype: An accessible MNE-Python pipeline with graphical user interface for preprocessing and analysis of resting-state electroencephalography data. [PDF]

PLoS Comput Biol
Lodema DY, van Dellen HJ, de Haan W, van Hest M, Hillebrand A, van Dellen E.   +5 more
europepmc   +1 more source

Highly Aligned Bacteria Cellulose Yarn Aggregation for Energy Generation and Strain Sensing

Advanced Science, EarlyView.
Although high‐performance bacterial cellulose fibers have attracted significant interest for wearable electronics, a self‐powered and high‐mechanosensitive design is still scarce for achieving an intelligent integrated system. Here, we demonstrate an innovative bio‐fabrication strategy to develop a core‐sheath yarn that features the ordered network and
Chong Gao, Duo Xu, Hui Sun, Sun Ping, Zongxue Gu, Keshuai Liu, Zhiqiang Zhou, Bin Yu, Jian Fang, Weilin Xu   +9 more
wiley   +1 more source

Two-Stroke Pumping Technique for Many-Body Systems. [PDF]

Entropy (Basel)
Galam S.
europepmc   +1 more source

NIR‐II Imaging‐Guided Photothermal Activation of a TRPV4‐Targeted Nanoplatform Delivering Cycloastragenol to Promote Microglia Reprogramming and α‐Synuclein Clearance in Parkinson's Disease

Advanced Science, EarlyView.
ABSTRACT Current therapies for Parkinson's disease (PD) fail to concurrently address α‐synuclein (α‐syn) aggregation and microglia‐mediated neuroinflammation. Herein, we engineer a near‐infrared‐II (NIR‐II) phototheranostic nanoplatform, CAG/FD1080@MM‐aTRPV4, for synergistic regulation of microglial function and real‐time monitoring of PD pathology. We
Hsuan Lo, Linjuan Feng, Shiying Li, Lik Hang Hugo Tse, Xuehan Wang, Xingyang Zhao, Shaoheng Ma, Xin Li, Yanjuan Gu, Wing‐Tak Wong   +9 more
wiley   +1 more source

Early Detection and Inhibition of Post‐Surgical Cancer Recurrence by Synthetic Extracellular Vesicles

Advanced Science, EarlyView.
An implantable hydrogel is designed to hold gene transfection agents engineered to turn early recurrent tumor cells into generators of synthetic EVs. These synthetic EVs can express engineered miR‐26a (E‐miR‐26a) for highly sensitive detection and PD‐1 (a PD‐L1‐blocking agent) for therapeutic intervention, thereby enabling early detection and ...
Junli Zhang, Wenjia Chang, Ruolin Hu, Peiyan Su, Qin Zhou, Yanan Li, Zhenzhong Zhang, Kaixiang Zhang   +7 more
wiley   +1 more source

Topologically Protected Negative Entanglement. [PDF]

Adv Sci (Weinh)
Xue WT, Lee CH.
europepmc   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source