Results 11 to 20 of about 45,303,997 (324)
A reference human induced pluripotent stem cell line for large-scale collaborative studies. [PDF]
Human induced pluripotent stem cell (iPSC) lines are a powerful tool for studying development and disease, but the considerable phenotypic variation between lines makes it challenging to replicate key findings and integrate data across research groups ...
Pantazis CB +94 more
europepmc +2 more sources
Outlier Detection in Collaborative Studies
Abstract Extended tables of critical values for the reduction In standard deviation tests for single and paired outliers recommended for collaborative studies are presented. Critical values for the single outlier test are derived mathematically and those for the paired test are derived from computer simulations.
P. C. Kelly
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Collaborative studies and animal reuse [PDF]
Toby Pfeiffer, PhD, was well known for her contributions to the field of learnedhelplessness and its relationship to prisoner-of-war captivity stress in humans. She used squirrel monkeys formuchof her research,subjecting them tomild but frequent electrical shocks, such as 0.75 milliamps for 30 s, repeated 20 times in 1 hour.
J. Silverman
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Registries and collaborative studies for primary ciliary dyskinesia in Europe. [PDF]
Primary ciliary dyskinesia (PCD) is a rare inherited disease characterised by malfunctioning cilia leading to a heterogeneous clinical phenotype with many organ systems affected.
Ardura-Garcia C +11 more
europepmc +2 more sources
Design And Analysis Of Qualitative Collaborative Studies: Minimum Collaborative Program
Abstract Collaborative studies Involving qualitative data are usually conducted under design constraints to fulfill the requirements for quantitative studies. The data from these qualitative studies are often analyzed In a manner that ignores the fact that collaborative studies Involve matching (I.e., each laboratory analyzes a portion ...
F. Mcclure
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Disentangled Contrastive Collaborative Filtering [PDF]
Recent studies show that graph neural networks (GNNs) are prevalent to model high-order relationships for collaborative filtering (CF). Towards this research line, graph contrastive learning (GCL) has exhibited powerful performance in addressing the ...
Xubin Ren +4 more
semanticscholar +1 more source
Learning engagement has gained increasing attention in the field of education. Previous studies have adopted conventional methods to analyze learning engagement, but these methods cannot provide timely feedback for learners. This study analyzed automated
Lanqin Zheng +3 more
semanticscholar +1 more source
Global Fisheries Responses to Culture, Policy and COVID-19 from 2017 to 2020
Global Fishing Watch (GFW) provides global open-source data collected via automated monitoring of vessels to help with sustainable management of fisheries.
Bin He +7 more
doaj +1 more source
This paper analyses the operator's risk-based decision (RBD) company for slow steaming, and creates a sailing speed optimization model for slow steaming (SSOM-SS), aiming to balance the expected utility-based objectives (EUO) of fuel consumption, SOx ...
Yuzhe Zhao +3 more
doaj +1 more source
Spatial imbalance and factors influencing carbon emission efficiency in China’s transport industry
Exploring the regional differences of transport carbon emission efficiency (TCEE) and accurately identifying its influencing factors are crucial for achieving carbon neutrality in transport industry as soon as possible.
Qifei Ma +4 more
doaj +1 more source

