Results 181 to 190 of about 202,153 (252)

Lilrb4a Suppression Reprograms Microglia to Mitigate APOE4‐Associated Amyloid Plaques and Cerebral Amyloid Angiopathy in Association With a PPAR‐Linked Pro‐Clearance State

Advanced Science, EarlyView.
Targeting Lilrb4a in Apolipoprotein E4 (APOE4)‐associated Alzheimer's disease (AD) reprograms microglia toward a beneficial, phagocytic state. Genetic deletion or antisense inhibition of Lilrb4a suppresses p‐SHP2/NF‐κB/STAT1 signaling, restores PPAR‐linked lipid and energy metabolism, and reduces amyloid plaque burden and cerebral amyloid angiopathy ...
Changxu Nie, Ruixi Yang, Xiaotong Wang, Ping Jia, Xueqi Zhang, Yaqi Dai, Xue Bai, Sijia Duan, Yufeng Li, Peng Zheng, Xin Tian, Li Jiang, Chao Wang   +12 more
wiley   +1 more source

How Do I Decide What Data to Visualize? [PDF]

J Grad Med Educ
Coleman CG, Schmidt A, Schwabish J.
europepmc   +1 more source

Optimization of B Cell Responses in Human Immune System Mice Through Organoid Based Screening

Advanced Science, EarlyView.
Human immune system (HIS) mice show limited B cell responses to immunization. Using HIS mouse spleen organoids, this study identifies cytokine combinations and innate immune signals that drive human B cell expansion, differentiation, and class‐switch. Applying these signals in vivo through temporal separation enables antigen‐specific IgG responses and ...
Haiqiao Sun, He Li, Xu Zhu, Zijian Zhang, Deshan Ren, Shuai Ding, Yan Li   +6 more
wiley   +1 more source

A Scalable and Cost-Effective In-Line Barcoding Strategy for Standardized 16S rRNA Gene Amplicon Sequencing: Performance Evaluation and Bias Assessment. [PDF]

Mol Ecol Resour
Jourdain L, Rossi P, Charpagne A, Chevalier E, Praz V, Marquis J, Weber J, Gu W.   +7 more
europepmc   +1 more source

Celastrol‐Loaded Conductive Hydrogel Mitigates Myocardial Ischemia‐Reperfusion Injury and Restores Electrophysiological Function

Advanced Science, EarlyView.
Schematic illustration of the Pluronic F127 diacrylate/gelatin methacryloyl/poly(3,4‐ethylenedioxythiophene):poly(styrenesulfonate)/celastrol hydrogel (FGPC) for localized myocardial ischemia–reperfusion injury treatment. FGPC combines sustained celastrol delivery with PEDOT:PSS‐mediated conductive support to attenuate acute oxidative/inflammatory ...
Shixin Wang, Shaojie Chen, Chengzong Li, Hongyi Cheng, Jincheng Jiao, Xiafeng Peng, Yike Zhang, Wei Sun, Feng Zhang, Chang Cui, Minglong Chen   +10 more
wiley   +1 more source

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

The Complete Genome Sequence of <i>Vachellia tortilis</i> subsp. <i>raddiana</i>, the Umbrella Thorn Acacia (Fabaceae, Fabales). [PDF]

Biodivers Genomes
Hnini M, Chaddad Z, Rabeh K, Pirro S, Alayoua B, Sbabou L, Aurag J.   +6 more
europepmc   +1 more source

Light‐Imprinted Chirality in Nanomaterials: From Principles to Applications

Advanced Science, EarlyView.
Light‐induced chirality represents a transformative paradigm for fabricating chiral nanostructures. This review provides a comprehensive framework encompassing light‐based strategies for imprinting and tuning chirality in nanomaterials, which guides researchers in harnessing light to create next‐generation functional materials.
Xinru Jin, Emiliano Cortés, Alexander O. Govorov, Tao Ding   +3 more
wiley   +1 more source

Correction: Understanding acceptance and resistance toward generative AI technologies: a multi-theoretical framework integrating functional, risk, and sociolegal factors. [PDF]

Front Artif Intell
Shrivastava P.
europepmc   +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