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Published in 2022 at "Brain and Behavior"
DOI: 10.1002/brb3.2624
Abstract: Chronic exposure to stress is a major risk factor in anxiety disorders (ADs) and can be accompanied by an altered microbiome–gut–brain axis and a compromised immune system. In recent years, the study of inflammatory processes…
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Keywords:
tnf cortisol;
cortisol levels;
patients panic;
negative correlation ... See more keywords
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Published in 2025 at "Ecology and Evolution"
DOI: 10.1002/ece3.71936
Abstract: ABSTRACT Diatoms and Chlorophyta are two major phyla of phytoplankton in marine ecosystems. The quantitative detection of the population succession and the interaction between them in natural marine ecosystems is a key challenge that ecologists…
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Keywords:
beibu gulf;
environmental factors;
analysis;
negative correlation ... See more keywords
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Published in 2020 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-04788-9
Abstract: Extreme learning machine (ELM) has shown to be a suitable algorithm for classification problems. Several ensemble meta-algorithms have been developed in order to generalize the results of ELM models. Ensemble approaches introduced in the ELM…
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Keywords:
negative correlation;
extreme learning;
learning machine;
correlation learning ... See more keywords
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Published in 2018 at "Engineering Applications of Computational Fluid Mechanics"
DOI: 10.1080/19942060.2018.1463871
Abstract: ABSTRACT A genetic-based neural network ensemble (GNNE) is applied for estimation of daily soil temperatures (DST) at distinct depths. A sequential genetic-based negative correlation learning algorithm (SGNCL) is adopted to train the GNNE parameters. CLMS…
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Keywords:
negative correlation;
correlation learning;
soil;
genetic based ... See more keywords
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Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3184498
Abstract: A new research idea may be inspired by the connections of keywords. Link prediction discovers potential nonexisting links in an existing graph and has been applied in many applications. This article explores a method of…
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Keywords:
negative correlation;
hierarchical negative;
new research;
research ideas ... See more keywords
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Published in 2021 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2019.2943860
Abstract: Nonlinear regression has been extensively employed in many computer vision problems (e.g., crowd counting, age estimation, affective computing). Under the umbrella of deep learning, two common solutions exist i) transforming nonlinear regression to a robust…
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Keywords:
regression;
nonlinear regression;
negative correlation;
proposed method ... See more keywords
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Published in 2022 at "Developmental science"
DOI: 10.1111/desc.13310
Abstract: Previous findings on the association between theory of mind (ToM) and aggression in children are mixed. The social skills deficit view regarded ToM as a single-edged sword and proposed that a lack of ToM can…
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Keywords:
aggression;
tom;
meta analysis;
negative correlation ... See more keywords
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Published in 2024 at "Frontiers in Nutrition"
DOI: 10.3389/fnut.2024.1436652
Abstract: Background Obesity is a significant part of the factors affecting lung function, and the assessment of obesity using the Metabolic Score for Visceral Fat (METS-VF) is more precise than other indicators like waist circumference and…
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Keywords:
fev1 fvc;
fev1;
negative correlation;
fvc ... See more keywords
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Published in 2022 at "Vaccines"
DOI: 10.3390/vaccines10111917
Abstract: The COVID-19 pandemic has caused a health crisis worldwide; therefore, it is necessary to understand the factors related to its prognosis. In this study, we hypothesized that SARS-CoV-2-derived antigens presented by MHC class I may…
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Keywords:
coverage;
negative correlation;
mortality;
antigen coverage ... See more keywords