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Identification and mechanism analysis of biomarkers related to butyrate metabolism in COVID-19 patients.
Ann Med
December 2025
Department of Assisted Reproductive Centre, Xiangya Hospital Zhuzhou Central South University, Central South University, Zhuzhou, China.
Background: Butyrate may inhibit SARS-CoV-2 replication and affect the development of COVID-19. However, there have been no systematic comprehensive analyses of the role of butyrate metabolism-related genes (BMRGs) in COVID-19.
Methods: We performed differential expression analysis of BMRGs in the brain, liver and pancreas of COVID-19 patients and controls in GSE157852 and GSE151803.
In Situ Raman Spectra and Machine Learning Assistant Thermal Annealing Optimization for Effective Phototransistors.
ACS Appl Mater Interfaces
March 2025
State Key Laboratory of Luminescent Materials and Devices, Institute of Polymer Optoelectronic Materials and Devices, Guangdong Provincial Key Laboratory of Luminescence from Molecular Aggregates, South China University of Technology, Guangzhou 510640, P. R. China.
The relationship between the structure and function of condensed matter is complex and changeable, which is especially suitable for combination with machine learning to quickly obtain optimized experimental conditions. However, little research has been done on the effect of temperature on condensed matter and how it affects device performance because the difference between the in situ physical property parameters (which are lowered by the surface tension and mixing entropy) and the basic parameters of the bulk makes accurate AI predictions difficult. In this work, P3HT/ITIC was chosen as the donor/acceptor material for the active layer of organic phototransistors (OPTs).
View Article and Find Full Text PDFDeep-Learning-Assisted Understanding of the Self-Assembly of Miktoarm Star Block Copolymers.
ACS Nano
March 2025
School of Chemical Science and Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, China.
The self-assemblies of topological complex block copolymers, especially the AB type miktoarm star ones, are fascinating topics in the soft matter field, which represent typical self-assembly behaviors analogous to those of biological membranes. However, their diverse topological asymmetries and versatile spontaneous curvatures result in rather complex phase separations that deviate significantly from the common mechanisms. Thus, numerous trial-and-error experiments with tremendous parameter space and intricate relationships are needed to study their assemblies.
View Article and Find Full Text PDFSpatial prediction of immunity gaps during a pandemic to inform decision making: A geostatistical case study of COVID-19 in Dominican Republic.
Trop Med Int Health
March 2025
UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia.
Background: To demonstrate the application and utility of geostatistical modelling to provide comprehensive high-resolution understanding of the population's protective immunity during a pandemic and identify pockets with sub-optimal protection.
Methods: Using data from a national cross-sectional household survey of 6620 individuals in the Dominican Republic (DR) from June to October 2021, we developed and applied geostatistical regression models to estimate and predict Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) spike (anti-S) antibodies (Ab) seroprevalence at high resolution (1 km) across heterogeneous areas.
Results: Spatial patterns in population immunity to SARS-CoV-2 varied across the DR.
Unpacking medical students' resit experiences: a qualitative study of early years medical students´ experiences of a peer-assisted learning programme during summer resit exams.
Med Educ Online
December 2025
Imperial College School of Medicine, Imperial College London, London, UK.
Resitting, being offered a 'second chance' at an exam following failure to achieve a passing grade, is both common and stressful in medical school. There is a significant gap in the medical education literature around evidence-based support for resitting medical students. The study explores medical student experiences of resits through a peer-assisted learning programme (PAL) delivered to early years resitting medical students at Imperial College School of Medicine (ICSM) in 2021 and 2022.
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