When it rains, it pours: A triple-pathway model of collective turnover based on causal mapping analysis
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DOI: 10.1007/s10490-017-9504-5
Abstract: As modern organizations become increasingly knowledge intensive, collective turnover, a phenomenon of knowledge spillover or transfer, is gradually receiving greater attention from scholars. Given that most studies have focused on the detrimental organizational consequences of… read more here.
Keywords: turnover based; based causal; turnover; collective turnover ... See more keywords
Developing environmental health indicators [EHIs] for Iran based on the causal effect model
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DOI: 10.1007/s40201-019-00346-1
Abstract: BackgroundEnvironmental health monitoring and its effects on health are very important in health systems. Relationship between environment and health can be done by simplifying data in understandable indicators for people and policy-makers. The present study… read more here.
Keywords: based causal; causal effect; health indicators; health ... See more keywords
A Personal Thermal Comfort Model Based on Causal Artificial Intelligence: A Physiological Sensor-Enabled Causal Identifiability
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DOI: 10.1109/jbhi.2024.3432766
Abstract: Personal thermal comfort affects occupants' health, well-being, and productivity. Its satisfaction is subjective, based on individual characteristics and dynamic environments, and challenging to understand, requiring predicted outcomes and explanations of how and why the outcomes… read more here.
Keywords: thermal comfort; model; based causal; personal thermal ... See more keywords
Superpixel-Based Causal Multisensor Video Fusion
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DOI: 10.1109/tcsvt.2017.2662743
Abstract: Video surveillance systems have become extremely important recently. It has been observed that information extracted from a single spectrum video is often insufficient in adverse conditions like low illumination, shadowing, smoke, dust, unstable background, and… read more here.
Keywords: causal multisensor; video; based causal; multisensor video ... See more keywords
CSER: a gene regulatory network construction method based on causal strength and ensemble regression
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DOI: 10.3389/fgene.2024.1481787
Abstract: Introduction Gene regulatory networks (GRNs) reveal the intricate interactions between and among genes, and understanding these interactions is essential for revealing the molecular mechanisms of cancer. However, existing algorithms for constructing GRNs may confuse regulatory… read more here.
Keywords: ensemble regression; based causal; regression; network ... See more keywords