Millions of people worldwide suffer from depression. Do commonalities exist in their nonverbal behavior that would enable cross-culturally viable screening and assessment of severity? We investigated the generalisability of an approach to detect depression severity cross-culturally using video-recorded clinical interviews from Australia, the USA and Germany. The material varied in type of interview, subtypes of depression and inclusion healthy control subjects, cultural background, and recording environment. The analysis focussed on temporal features of participants' eye gaze and head pose. Several approaches to training and testing within and between datasets were evaluated. The strongest results were found for training across all datasets and testing across datasets using leave-one-subject-out cross-validation. In contrast, generalisability was attenuated when training on only one or two of the three datasets and testing on subjects from the dataset(s) not used in training. These findings highlight the importance of using training data exhibiting the expected range of variability.
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http://dx.doi.org/10.1109/FG.2015.7163113 | DOI Listing |
Sci Data
January 2025
Universities Space Research Association, Washington, DC, USA.
During the COVID-19 pandemic changes in human activity became widespread through official policies and organically in response to the virus's transmission, which in turn, impacted the environment and the economy. The pandemic has been described as a natural experiment that tested how social and economic disruptions impacted different components of the global Earth System. To move this beyond hypotheses, locally-resolved, globally-available measures of how, where, and when human activity changed are critically needed.
View Article and Find Full Text PDFPrev Vet Med
January 2025
University of Lyon - French Agency for Food, Environmental and Occupational Health & Safety (ANSES), Laboratory of Lyon, Epidemiology and support to Surveillance Unit, Lyon, France. Electronic address:
In response to the increasing emergence of zoonotic pathogens, flexible, multisectoral surveillance systems capable of generating alerts thanks to rapid, nonspecific detection, are crucial before pathogens reach human populations. Syndromic surveillance has proven to be a breakthrough for near real-time disease surveillance in the public health sector. It relies on existing nonspecific data, usually collected for other purposes.
View Article and Find Full Text PDFNeuromuscul Disord
December 2024
University of Florida College of Medicine - Jacksonville, Jacksonville, FL, USA.
Sengers Syndrome (SS) is a rare autosomal recessive mitochondrial disorder caused by mutations in the acylglycerol kinase (AGK) gene on chromosome 7, also known as cardiomyopathic mitochondrial DNA depletion syndrome (MTDPS10). This disorder disrupts mitochondrial DNA function and energy metabolism, presenting with symptoms such as congenital cataracts, hypertrophic cardiomyopathy, skeletal myopathy, exercise intolerance, and lactic acidosis. Previous research has shown SS affects oxidative phosphorylation and mitochondrial respiration, implicating the TIM22 complex and carrier import.
View Article and Find Full Text PDFSpectrochim Acta A Mol Biomol Spectrosc
January 2025
National Institute for Research and Development of Isotopic and Molecular Technologies, 67-103 Donat Street, 400293 Cluj-Napoca, Romania; Babes-Bolyai University, 1 M. Kogalniceanu Street, 400084 Cluj-Napoca, Romania. Electronic address:
Alkenyl pheromones are a class of insect sex pheromones that are characterized by the presence of one or more double bonds, which can be either in the E(trans) or Z(cis) configuration. This structural variation is essential in mating, as it influences reproductive behavior and provides a potential method for insect control. As a base for rapid and in-situ screening of synthetic pheromones or pheromone-based products, this study explores the potential of Raman spectroscopy to differentiate between the two geometrical isomers, E(trans) and Z(cis), of the alkenyl pheromones.
View Article and Find Full Text PDFSpectrochim Acta A Mol Biomol Spectrosc
January 2025
School of Precision Instrument and Opto-electronics Engineering, Tianjin University, Tianjin 300072 China. Electronic address:
The detection of pesticide residues in agricultural products is crucial for ensuring food safety. However, traditional methods are often constrained by slow processing speeds and a restricted analytical scope. This study presents a novel method that uses filter-array-based hyperspectral imaging enhanced by a dynamic filtering demosaicking algorithm, which significantly improves the speed and accuracy of detecting pesticide residues.
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