ABSTRACT The relationship between body mass index (BMI), gender, and specific depression‐anxiety symptoms remains unclear. This study examined how BMI and gender are associated with depression‐anxiety symptom networks in 9091 Chinese adults aged 19–65 years using the Patient Health Questionnaire‐9 (PHQ‐9) and the Generalized Anxiety Disorder‐7 (GAD‐7 ...
Meng‐Bi Yang +6 more
wiley +1 more source
Individual Uncertainty and Policy Compliance During the COVID‐19 Pandemic
ABSTRACT Ample scholarship examines the extent to which public policies in representative democracies reflect the priorities and needs of the public, often finding that individuals are unaware of many policy issues and policy responses. This may be especially true when issues of risk and scientific uncertainty are involved, which can be difficult for ...
Nathan Jeschke +6 more
wiley +1 more source
Multi-dimensional EEG analysis reveals distinct neurophysiological patterns in Alzheimer's and frontotemporal dementia. [PDF]
Cai G, Shi Y, Ma J, Zhang X, Wu W.
europepmc +1 more source
Unsupervised Time‐Event Probabilistic Classification Using Large Panels of Time Series
ABSTRACT This study presents a framework to perform unsupervised time‐event probabilistic classification using time series data of large cross‐sectional dimension. These datasets often exhibit complexities such as non‐linearities, structural breaks, asynchronicity, missing data, and outliers; which hampers their analysis and modeling.
Máximo Camacho +2 more
wiley +1 more source
Amplification of Flood Hazard and Damage by Compounding Pluvial and Fluvial Flooding
Abstract Flood risk management has traditionally treated fluvial and pluvial flooding in isolation, for example, by producing inundation maps separately for each flood type. Here, we develop an integrated modeling framework capable of capturing the interplay of both flood types when they co‐occur.
Xiaoxiang Guan +8 more
wiley +1 more source
Detection of risk levels in optical mark recognition exams using categorical feature-based machine learning models. [PDF]
Sancar Y.
europepmc +1 more source
ABSTRACT Most research questions in agricultural and applied economics are causal in nature: they study how changes in one or more variables (such as policies, prices or weather) affect one or more other variables (e.g., income, crop yields or pollution).
Arne Henningsen +6 more
wiley +1 more source
Identifying Polymers that Bind or Reject Proteins with Machine Learning: Handling Categorical Features within a GPR Model. [PDF]
De Silva R +7 more
europepmc +1 more source
Sustainable Livestock Decisions in a Post‐Conflict Frontier: Evidence From Colombia's Orinoquía
ABSTRACT The Orinoquía region is one of Colombia's principal agricultural frontiers and has been shaped by long‐standing armed‐conflict dynamics that continue to influence land governance, producer incentives, and investment decisions. Efforts to promote sustainable cattle production emphasize two key practices: sustainable pasture management ...
Hernando Flórez‐Díaz +4 more
wiley +1 more source
Electroencephalographic Biomarkers in Tinnitus: A Narrative Review of Current Approaches and Clinical Perspectives. [PDF]
Oh H, Lee D, Song JK, Baek S, Jin IK.
europepmc +1 more source

