Results 151 to 160 of about 36,639 (264)

Loss of SHP1 in Spinal Astrocytes Triggers T‐Lymphocyte Infiltration and Nociceptive Hypersensitivity

Advanced Science, EarlyView.
Astrocyte‐specific SHP1 deletion disrupts astrocyte–vascular interactions and compromises BBB integrity while enhancing STAT1‐dependent CXCL10 expression. These changes synergistically promote peripheral CD4+ and CD8+ T‐cell infiltration into the SDH. The infiltrating T cells secrete IFN‐γ, which in turn activates microglia.
Lan‐Xing Yi, Lin Yang, Kang‐Li Wang, Hui‐Zhu Liu, Rui‐Ying Chen, Min Su, Xiao Xiao, Yu‐Qiu Zhang   +7 more
wiley   +1 more source

From Linear Geometry to Nonlinear and Information-Geometric Settings in Test Theory: Bregman Projections as a Unifying Framework. [PDF]

Educ Psychol Meas
Zumbo BD.
europepmc   +1 more source

A Novel Pak1 Activator Ameliorates ER Stress for HFpEF Therapy

Advanced Science, EarlyView.
Chronic metabolic stress is a major contributor to HFpEF progression. Under prolonged metabolic stress, Pak1 activity becomes impaired, contributing to disrupted ER proteostasis, cardiomyocyte apoptosis, fibrosis, and diastolic dysfunction. Mechanistically, Pak1 overexpression activates the ERK1/2–MNK1–eIF4E signaling axis, promotes translational ...
Honglin Xu, Hongyuan Zhang, Tayyiba Azam, Susanne S. Hille, Yingjuan Liu, Min Zi, Jiaqing Lang, He Yu, Yujia Cao, Bernard D. Keavney, Tamer M. A. Mohamed, Jessica M. Miller, Riham R. E. Abouleisa, Ming Xu, Elizabeth J. Cartwright, Oliver J. Müller, Ming Lei, Xin Wang   +17 more
wiley   +1 more source

Modelling the Proportions with Excessive Endpoints Based on a Generalized Lindley Binomial Model. [PDF]

J Stat Theory Appl
Deng D, Zhang X.
europepmc   +1 more source

Chemical Bond‐Orchestrated Energy Depletion to Augment Lung Cancer Chemo‐Immunotherapy

Advanced Science, EarlyView.
This study grafted dichloroacetic acid (DCA) into perylenediimide (PDI) skeleton via ionic or covalent bond to create novel metabolic agent PDIC‐AC and PDIC‐NAC, explicitly elaborated the underlying energy metabolism and therapeutic mechanism, and developed a promising strategy for energy metabolism‐targeting chemo‐immunotherapy by chemical bond ...
Xuejie Zhao, Yuting Liu, Xiao Huang, Liwen Zhao, Chunli Li, Yongwei Huang   +5 more
wiley   +1 more source

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

Advanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

General Hydrate Formation Temperature Model for CO₂, H₂S, Pure Hydrocarbon Gases, and Sweet and Sour Gas Mixtures with or without Common Salts and Organic Inhibitors. [PDF]

ACS Omega
Shokir EME, Ibrahim AEB, Abdelhafiz MM, Shokir AE.   +3 more
europepmc   +1 more source

Bridging Performance and Fate: A Framework for Sustainable, Composite‐Based Flexible Electronic Systems

Advanced Electronic Materials, EarlyView.
Composite‐based flexible electronics integrate biodegradable polymers, conductive networks, and multilayer device architectures to balance electrical performance, mechanical durability, and controlled degradation. Interfacial engineering and encapsulation regulate transport stability and operational lifetime, while programmed disassembly enables ...
Sayam, Sangho Cho
wiley   +1 more source

Center-specific causal inference with multicenter trials-Interpreting trial evidence in the context of each participating center. [PDF]

Stat Methods Med Res
Robertson SE, Steingrimsson JA, Joyce NR, Stuart EA, Dahabreh IJ.   +4 more
europepmc   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source