Results 161 to 170 of about 53,729,253 (423)
Predictors of Dropout From Inpatient Substance Use Treatment: A Prospective Cohort Study
Introduction: Dropout from inpatient treatment for substance use disorder (SUD) is an ongoing challenge. The aim of this study was to identify demographic, substance use, and psychological factors that predict dropout from postdetoxification inpatient ...
Helle Wessel Andersson+4 more
semanticscholar +1 more source
Subpar reporting of pre‐analytical variables in RNA‐focused blood plasma studies
Pre‐analytical variables strongly influence the analysis of extracellular RNA (cell‐free RNA; exRNA) derived from blood plasma. Their reporting is essential to allow interpretation and replication of results. By evaluating 200 exRNA studies, we pinpoint a lack of reporting pre‐analytical variables associated with blood collection, plasma preparation ...
Céleste Van Der Schueren+16 more
wiley +1 more source
Membrane boundary condition [PDF]
Using a microscopic phase-space model of the membrane system, the boundary condition at a membrane is derived. According to the condition, the substance flow across the membrane is proportional to the difference of the substance concentrations at the opposite membrane surfaces.
arxiv
Cancer‐associated fibroblasts (CAFs) promote cancer growth, invasion (metastasis), and drug resistance. Here, we identified functional and diverse circulating CAFs (cCAFs) in patients with metastatic prostate cancer (mPCa). cCAFs were found in higher numbers and were functional and diverse in mPCa patients versus healthy individuals, suggesting their ...
Richell Booijink+6 more
wiley +1 more source
Individual differences in the neuropsychopathology of addiction. [PDF]
Drug addiction or substance-use disorder is a chronically relapsing disorder that progresses through binge/intoxication, withdrawal/negative affect and preoccupation/anticipation stages.
George, Olivier, Koob, George F
core
Social Media-based Substance Use Prediction [PDF]
In this paper, we demonstrate how the state-of-the-art machine learning and text mining techniques can be used to build effective social media-based substance use detection systems. Since a substance use ground truth is difficult to obtain on a large scale, to maximize system performance, we explore different feature learning methods to take advantage ...
arxiv
Surfaceome: a new era in the discovery of immune evasion mechanisms of circulating tumor cells
In the era of immunotherapies, many patients either do not respond or eventually develop resistance. We propose to pave the way for proteomic analysis of surface‐expressed proteins called surfaceome, of circulating tumor cells. This approach seeks to identify immune evasion mechanisms and discover potential therapeutic targets. Circulating tumor cells (
Doryan Masmoudi+3 more
wiley +1 more source
Background Harm reduction (HR) is a critical response to the pronounced toxicity deaths being experienced in Canada. HR providers report many benefits of their jobs, but also encounter chronic stress from structural inequities and exposure to trauma and ...
Sheena Taha+3 more
doaj +1 more source
Applying Conceptual Blending to Model Coordinated Use of Multiple Ontological Metaphors [PDF]
Energy is an abstract science concept, so the ways that we think and talk about energy rely heavily on ontological metaphors: metaphors for what kind of thing energy is. Two commonly used ontological metaphors for energy are energy as a substance and energy as a vertical location.
arxiv
PART I.--ON THE OFFICIAL OINTMENTS, WITH SPECIAL REFERENCE TO THE SUBSTANCES USED AS BASES [PDF]
R. B. Wild
openalex +1 more source