Results 31 to 40 of about 13,434,021 (358)
Finding Influential Users in Social Media Using Association Rule Learning
Influential users play an important role in online social networks since users tend to have an impact on one other. Therefore, the proposed work analyzes users and their behavior in order to identify influential users and predict user participation ...
Anton Borg +14 more
core +2 more sources
Association of Clinician Diagnostic Performance With Machine Learning–Based Decision Support Systems
Key Points Question Is clinician diagnostic performance associated with the use of machine learning–based clinical decision support systems? Findings In this systematic review of 37 studies, no robust evidence was found to suggest an association between ...
B. Vasey +7 more
semanticscholar +1 more source
ABSTRACT Purpose Although not always achieved, complete chemotherapy‐induced nausea and vomiting (CINV) control is the conventional goal of CINV prophylaxis. In this two‐center, mixed‐methods study, we sought to understand the preferences of adolescent patients and family caregivers for CINV control endpoints.
Haley Newman +8 more
wiley +1 more source
Associative learning and timing [PDF]
Associative learning and timing are clearly inter-related, but are they separate processes or is timing a core part of the associative structure? Emerging research suggests that temporal information is acquired rapidly and that CR's are timed correctly from the start of associative learning.
Kimberly Kirkpatrick, Peter D Balsam
openaire +2 more sources
Dietary Protein Intake and Peritoneal Protein Losses in Peritoneal Dialysis Patients
ABSTRACT Introduction Peritoneal dialysis (PD) patients lose protein in their waste dialysate, potentially increasing their risk for malnutrition. We wished to determine whether there was any association between losses and dietary protein intake (DPI). Methods DPI was assessed from 24‐h dietary recall using Nutrics software.
Haalah Shaaker, Andrew Davenport
wiley +1 more source
Mapping the evolution of mitochondrial complex I through structural variation
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin +2 more
wiley +1 more source
This document provides information about the Association for Learning Technology (ALT)
Deepwell, Maren
core +1 more source
Time and Associative Learning. [PDF]
In a basic associative learning paradigm, learning is said to have occurred when the conditioned stimulus evokes an anticipatory response. This learning is widely believed to depend on the contiguous presentation of conditioned and unconditioned stimulus. However, what it means to be contiguous has not been rigorously defined.
Peter D. Balsam +2 more
openaire +3 more sources
Probabilistic association learning in schizophrenia
Probabilistic association learning is a form of non-declarative learning that involves the gradual acquisition of cue-outcome associations based on feedback and is dependent on frontal-striatal activity in healthy adults.
T. Weickert, T. Weickert
semanticscholar +1 more source
Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley +1 more source

