Results 131 to 140 of about 299,806 (256)
Editing Eden: CRISPR, the Image of God, and the Ethics of Genetic Intervention. [PDF]
Oh JJ.
europepmc +1 more source
Response to Letter to the Editor Regarding "A bibliometric analysis of investigative genetic genealogy in academic literature: Trends, networks, and emerging themes". [PDF]
Pellegrino A, Stasi A.
europepmc +2 more sources
Objective The study aimed to identify symptom‐based predictors of dry eye disease (DED) signs in the Sjögren's International Collaborative Clinical Alliance (SICCA) cohort. Methods We performed a retrospective analysis examining 16 ocular symptoms (most graded 0–4) and artificial tear (AT) use (graded 0–3) as predictors of DED signs (abnormal ocular ...
Pragnya R. Donthineni +7 more
wiley +1 more source
No Evidence of Genetic Basis to Variation in Human Offspring Sex Ratio. [PDF]
Harper KT +4 more
europepmc +1 more source
The Principle of Necessary Reason
O'Leary-Hawthorne, John, Cortens, Andrew
openaire +2 more sources
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
Hume on the Prospects for a Scientific Psychology. [PDF]
Jacovides M.
europepmc +1 more source
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed‐methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah +4 more
wiley +1 more source
Enhanced Fringing Field Micro-Moisture Sensor with Elements Optimization. [PDF]
Meng X, Li C, Lan Y, Tan L, Zhang X.
europepmc +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source

