Results 131 to 140 of about 5,035,698 (371)

Immune‐Driven Expression in Inclusion Body Myositis With T‐Cell Large Granular Lymphocytic Leukemia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives T‐cell large granular lymphocytic leukemia (T‐LGLL), reported in up to 58% of inclusion body myositis (IBM) patients, is a rare leukemia of cytotoxic or less commonly helper T cells. The range of myopathies in T‐LGLL and the impact of coexisting T‐LGLL in IBM are not well understood. Our objectives are to investigate the spectrum of
Pannathat Soontrapa, Iago Pinal‐Fernandez, Pritikanta Paul, Michael P. Skolka, Margherita Milone, Min Shi, Mithun V. Shah, Maria Casal‐Dominguez, Katherine Pak, Andrew L. Mammen, Teerin Liewluck   +10 more
wiley   +1 more source

Unraveling the Molecular Mechanisms of Glioma Recurrence: A Study Integrating Single‐Cell and Spatial Transcriptomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu, Yinjiao Fei, Jiaxuan Ding, Kexin Shi, Jinyan Luo, Yuchen Zhu, Xingjian Sun, Gefei Jiang, Yuandong Cao, Weilin Xu, Shu Zhou   +10 more
wiley   +1 more source

Library 3.0 competencies of importance: Assessing the impact of variables of users’ readiness in university library settings

Social Sciences and Humanities Open
This study assessed the users' readiness for the Library 3.0 environment by exploring their proficiency and behavior for the advanced library system. To study Library 3.0 competencies, 196 library users were surveyed at the University of Jammu using a ...
Reenu Arti Thakur, Diksha Sharma, Sangita Gupta, Sumeer Gul   +3 more
doaj   +1 more source

A Scoping Review on Artificial Intelligence–Supported Interventions for Nonpharmacologic Management of Chronic Rheumatic Diseases

Arthritis Care &Research, EarlyView.
This review summarizes artificial intelligence (AI)‐supported nonpharmacological interventions for adults with chronic rheumatic diseases, detailing their components, purpose, and current evidence base. We searched Embase, PubMed, Cochrane, and Scopus databases for studies describing AI‐supported interventions for adults with chronic rheumatic diseases.
Nirali Shah, Alexis Castellanos, Yen Chen, John Piette, Amy Bucher, Susan Murphy   +5 more
wiley   +1 more source

Library and bibliographic classification, XXIst century: results of the first decade, plans for the second one

Библиосфера, 2012
The author presents the results of work on the development of the National Classification System of Russia – Library and Bibliographic Classification done during the first decade of the XXI century: the publications are listed, the methodical provision ...
E. R. Sukiasyan
doaj  

Validation of a Genetic Risk Score Combined with Clinical Variables for Predicting Pulmonary Fibrosis in early Rheumatoid Arthritis

Arthritis Care &Research, Accepted Article.
Objectives Pulmonary fibrosis (PF) is a severe extra‐articular manifestation of rheumatoid arthritis (RA). The study aimed to externally validate a genetic risk score (GRS) and a combined risk score for predicting the risk of RA‐associated PF in an independent cohort of early‐RA patients. Methods This study utilized an inception cohort of 1118 patients
Mikael Brink, Austin Wheeler, Bryant R. England, Solbritt Rantapää‐Dahlqvist   +3 more
wiley   +1 more source

Clinical Practice Guideline for Evaluation and Management of Peripheral Nervous System Manifestations in Sjögren's Disease

Arthritis Care &Research, Accepted Article.
Objectives Sjögren's disease is an autoimmune disorder that can impact multiple organ systems, including the peripheral nervous system (PNS). PNS manifestations, which can exist concurrently, include mononeuropathies, polyneuropathies, and autonomic nervous system neuropathies. To help patients and providers in the decision‐making process, we developed
Anahita Deboo, Robert Fox, Katherine M. Hammitt, Julie Frantsve‐Hawley, Matthew C. Baker, Stamatina Danielides, Eduardo De Sousa, Brent P. Goodman, Jennifer K. King, Steven Mandel, Ghaith Noaiseh, Pantelis P. Pavlakis, George Sarka, R. Hal Scofield, Arun Varadhachary, Daniel J. Wallace, Matt Makara, Nancy Carteron, Steven Carsons, In collaboration with the Consensus Expert Panel (CEP) members   +19 more
wiley   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Fabrication‐Directed Entanglement for Designing Chiral and Anisotropic Metamaterial Foams

Advanced Engineering Materials, EarlyView.
This work introduces fabrication‐directed entanglement (FDE), combining viscous thread printing and topology optimization to program entangled foams with spatially patterned stiffness. By tuning coil density, FDE enables anisotropy, programmable Poisson's ratio, and chirality in foams.
Daniel Revier, Brett Emery, Jacob Miske, Jeffrey Lipton   +3 more
wiley   +1 more source