Results 141 to 150 of about 795 (255)

Algorithm-assisted discovery of an intrinsic order among mathematical constants. [PDF]

Proc Natl Acad Sci U S A
Elimelech R, David O, De la Cruz Mengual C, Kalisch R, Berndt W, Shalyt M, Silberstein M, Hadad Y, Kaminer I.   +8 more
europepmc   +1 more source

The methanogen core and pangenome: conservation and variability across biology's growth temperature extremes. [PDF]

DNA Res, 2023
Prondzinsky P, Toyoda S, McGlynn SE.
europepmc   +1 more source

Optimizing Hydroxychloroquine Blood Levels and Long‐Term Hydroxychloroquine Intake Could Lower Atherosclerotic Cardiovascular Disease Risk and Prevent Polypharmacy in Systemic Lupus Erythematosus

Arthritis Care &Research, EarlyView.
Objective Hydroxychloroquine (HCQ) is the cornerstone of systemic lupus erythematosus (SLE) management with benefits extending beyond SLE control, including protection against atherosclerotic cardiovascular disease (ASCVD). Although HCQ blood levels reflect recent exposure and long‐term intake reflects medication adherence, the impact of longitudinal ...
Shivani Garg, Murray Urowitz, Charlie Dentz, Niriti Adhikari, Fauzia Hollnagel, Nathalie Costedoat‐Chalumeau   +5 more
wiley   +1 more source

Curvature on Graphs with Negative Edge Weights. [PDF]

IEEE Trans Netw Sci Eng
Grange D, Sun Y, Weistuch C, Elkin R, Phillips S, Deasy JO, Georgiou T.   +6 more
europepmc   +1 more source

Elevated liver enzymes is not an impediment to allopurinol dose escalation: an observational cohort study

Arthritis Care &Research, Accepted Article.
Objective Routine liver enzyme monitoring is advocated while on allopurinol but supporting guidance is lacking. We assessed the incidence and factors associated with elevated liver enzymes in gout patients commenced on allopurinol. Methods 150 patients with gout and normal baseline serum aminotransferases initiated on allopurinol were followed ...
May Shuen Tang, Qai Ven Yap, Peter Pak Moon Cheung, Amelia Santosa, Gim Gee Teng   +4 more
wiley   +1 more source

Microstructural Evolution and Vacancy Defect Formation in Mn–Mo–Ni RPV Steel Under Low Cycle Fatigue: Insights From EBSD and PALS

Advanced Engineering Materials, EarlyView.
Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar, Dhanadeep Dutta, G. Bharat Reddy   +2 more
wiley   +1 more source

Pediatric gastric MALT lymphoma: an antibiotic-treatable lymphoma, a case report and review of the literature. [PDF]

BMC Pediatr
Zhu L, Li S, Yang Y, Li Z.
europepmc   +1 more source

A Simplified Laminar Flow Model for the Pultrusion of Glass Fiber/Polyethylene Terephthalate Commingled Yarns

Advanced Engineering Materials, EarlyView.
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares, Nadège Bouchonneau, Christian Jochum, Donald Radford   +3 more
wiley   +1 more source

Phase IB study of Avelumab and whole brain radiotherapy in patients with leptomeningeal disease from solid tumors: Results and molecular analyses. [PDF]

Neuro Oncol
Piña Y, Law V, Sahebjam S, Tran N, Siddarajappa N, Li J, Mo Q, Phadke MS, Arrington J, Macaulay R, Mokhtari S, Evernden B, Ahmed KA, Smalley I, Yu M, Smalley KSM, Forsyth PA.   +16 more
europepmc   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source