Results 251 to 260 of about 2,685,960 (322)
NONCODE v7.0: updated lncRNA resource integrating scRNA-seq data encompassing immune baseline, development, and disease. [PDF]
Liu H +9 more
europepmc +1 more source
ABSTRACT In fisheries management, socioeconomic data, specifically qualitative data analysis, is often underutilized. This study qualitatively analyzed a primary federal data collection effort in the Northeast United States, The Greater Atlantic Region Commercial Fishing Business Cost Survey.
Elizabeth D. Conley +4 more
wiley +1 more source
Organ-specific role of neutrophil extracellular traps in shaping the postoperative thrombo-inflammatory niche in pancreatic ductal adenocarcinoma: a multi-model machine learning and mechanistic study. [PDF]
Cui S +5 more
europepmc +1 more source
Toward a global repository of insect traits (GRIT)
Biodiversity loss is accelerating, yet insect conservation is hindered by the absence of a centralised, comprehensive trait database. We propose the GRIT, a FAIR, open‐access platform uniting datasets and collaborators worldwide. GRIT will harness advanced computational tools for trait acquisition and imputation, enabling large‐scale ecological ...
Pedro Cardoso +37 more
wiley +1 more source
A real-time communication and information system for triage, positioning, and documentation (TriPoD) in mass-casualty incidents: a qualitative observational study. [PDF]
Lindström V +4 more
europepmc +1 more source
A cumulative genetic score based on IgG4‐associated variants explains a substantial proportion of variance in psIgG4 levels during sustained peanut consumption, highlighting strong gene‐by‐environment interactions. Our findings suggest that early, sustained peanut consumption, in combination with genetic factors, promotes a protective immune response ...
Kanika Kanchan +14 more
wiley +1 more source
In Silico Phosphoproteomic Analysis Reveals Divergent Regulation of Presenilin 1 and Presenilin 2. [PDF]
Begum S +4 more
europepmc +1 more source
An Uncertainty Based Approach for Dealing With Selection Bias in Non‐Probability Samples
Summary The main issue with non‐probability samples is that the standard design‐based approach cannot be applied as the selection mechanism is unknown. In this paper, the concept of uncertainty on data generating model, resulting from the lack of knowledge of the sampling design acting in the non‐probability sample, is discussed.
Pier Luigi Conti, Daniela Marella
wiley +1 more source

