Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Trichoscopic Analysis of Healthy Indian Males for Standardization of the Measurable Parameters: An Observational, Cross-sectional Study.
Indian Dermatol Online J
December 2024
The Venkat Centre for Advanced Dermatology, Plastic Surgery and ENT, Bengaluru, Karnataka, India.
Background: Trichoscopy is a simple, noninvasive tool to help in the diagnosis of various hair and scalp disorders. There is paucity of data on the normal trichoscopic parameters of hair density and diameter in the Indian population.
Aim: The aim of this study was to establish the trichoscopic patterns of hair and scalp in healthy Indian males and to provide a framework for future reference.
No microorganism was detected in amniotic fluid of healthy pregnancies from the second trimester to the delivery.
Microbiome
January 2025
Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing, China.
Background: The early colonization and establishment of the microbiome in newborns is a crucial step in the development of the immune system and host metabolism. However, the exact timing of initial microbial colonization remains a subject of ongoing debate. While numerous studies have attempted to determine the presence or absence of intrauterine bacteria, the majority of them have drawn conclusions based on sequencing data from maternal or infant samples taken at a single time point.
View Article and Find Full Text PDFIdentification of distinct pesticide poisoning patterns in Brazil: a cross-sectional cluster analysis of epidemiological data.
Int Arch Occup Environ Health
January 2025
Department of Quantitative Methods, Federal University of the State of Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil.
Purpose: This study aimed to identify distinct patterns of pesticide poisoning in Brazil through the cluster analysis of epidemiological data from 2011 to 2019.
Methods: A cross-sectional analysis of 49,233 confirmed pesticide poisoning cases was conducted using multiple correspondence analysis and hierarchical clustering. Data from the Brazilian Notifiable Diseases Information System were analyzed by region, demographics, and exposure types.
Sequential emergence and quantitative dynamics of key bacterial species preceding digital dermatitis lesion onset in dairy cattle.
Vet Microbiol
January 2025
Faculty of Veterinary Medicine, University of Calgary, 3330 Hospital Dr NW, Calgary, Alberta T2N 4Z6, Canada. Electronic address:
Digital dermatitis (DD) is a skin infection of cattle's feet with multiple bacteria suspected to be involved, yet its precise etiopathogenesis remains unclear. This longitudinal study explored the temporal changes of seven DD-associated bacteria in feet developing lesions or remaining healthy, while simultaneously investigating their persistence in potential reservoirs as sources of infection. Weekly swabs were collected from feet skin and saliva of 53 Holstein cows without DD lesions sequentially enrolled at calving in a commercial dairy herd.
View Article and Find Full Text PDFAdvancing efficiency in deep-blue OLEDs: Exploring a machine learning-driven multiresonance TADF molecular design.
Sci Adv
January 2025
Center for Organic Photonics and Electronics Research (OPERA), Kyushu University, 744 Motooka, Nishi, Fukuoka 819-0395, Japan.
The pursuit of boron-based organic compounds with multiresonance (MR)-induced thermally activated delayed fluorescence (TADF) is propelled by their potential as narrowband blue emitters for wide-gamut displays. Although boron-doped polycyclic aromatic hydrocarbons in MR compounds share common structural features, their molecular design traditionally involves iterative approaches with repeated attempts until success. To address this, we implemented machine learning algorithms to establish quantitative structure-property relationship models, predicting key optoelectronic characteristics, such as full width at half maximum (FWHM) and main peak wavelength, for deep-blue MR candidates.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!