We describe a practical method for the analysis of multiple analytes in a single sample. The vehicle for each separate measurement consists of a set of microspheres identifiable by characteristic fluorophores embedded in the particles. The use of robust, bench-top flow cytometers (flow microfluorimeters) for the analysis of the multiple sets of microspheres is facilitated by hardware and software, which acquire the data from the cytometer, classify the microspheres according to sets, and collate measurement information from each microsphere set in real time. This measurement system can analyze up to 64 analytes in a single sample. The advantages of multiplexed assays using flow cytometry include robust measurements, because each microsphere set is measured repeatedly. The advantage of the assay's is consistent with simultaneous measurement of many parameters as well as the speed with which the flow microfluorimeter (cytometer) makes measurements (many hundreds per second). Here, we describe the properties of the microspheres, the calibration of the cytometer, and the influence of the properties of the microspheres on the sensitivity of measurements.
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Allergol Immunopathol (Madr)
January 2025
Research Department, Fundación Cardioinfantil, Bogotá, Colombia.
Background: Asthma, a chronic inflammatory lung disease, is one of the leading causes of disability, demands on health resources, and poor quality of life. It is necessary to identify asthma-related risk factors to reduce the presence and development of symptoms.
Objective: This study aimed to explore the association of multiple possible factors with asthma symptoms in two subpopulations, children, adolescents, and adults, in six cities in Colombia.
Can J Exp Psychol
January 2025
Department of Psychology, University at Buffalo.
Working memory is associated with general intelligence and is crucial for performing complex cognitive tasks. Neuroimaging investigations have recognized that working memory is supported by a distribution of activity in regions across the entire brain. Identification of these regions has come primarily from general linear model analyses of statistical parametric maps to reveal brain regions whose activation is linearly related to working memory task conditions.
View Article and Find Full Text PDFPsychol Trauma
January 2025
Paul Baerwald School of Social Work and Social Welfare, Hebrew University of Jerusalem.
Objective: The Adult Scale/National Stressful Events Survey Short Scale (NSESSS) is an emerging brief screening measure for the severity of Acute Stress Symptoms based on the of acute stress disorder (ASD). Scant information is known about the NSESSS's psychometric properties among different cultures or populations exposed to an ongoing trauma and displacement. Therefore, the present study aimed to (a) assess for the first time the psychometric properties and construct validity of the Hebrew version of NSESSS in an internally displaced population following the massacre in Israel on October 7, 2023; and (b) assess the possible risk and protective predictors of ASD according to sociodemographic characteristics, types of trauma exposure, absence of basic needs, and social support.
View Article and Find Full Text PDFInt J Syst Evol Microbiol
January 2025
Department of Bio Health Science, Changwon National University, Changwon, Gyeongnam 51140, Republic of Korea.
Five pink-pigmented bacterial strains, isolated from human skin and classified within the genus , were examined. Among them, four were identified as , while strain OT10 was deemed to be a potential novel species. Strain OT10 exhibited characteristics, such as Gram-stain-negative, oxidase positive, motile, strictly aerobic and rod shaped.
View Article and Find Full Text PDFPsychol Methods
January 2025
Department of Human Development, Cornell University.
Intensive longitudinal data, increasingly common in social and behavioral sciences, often consist of multivariate time series from multiple individuals. Dynamic factor analysis, combining factor analysis and time series analysis, has been used to uncover individual-specific processes from single-individual time series. However, integrating these processes across individuals is challenging due to estimation errors in individual-specific parameter estimates.
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