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Imidazole Cationic-Bridged Pillar[5]arene Polymer as a Recycle Adsorbent for Iodine Capture.
ACS Appl Mater Interfaces
January 2025
Key Laboratory of Intelligent Supramolecular Chemistry at the University of Yunnan Province, National and Local Joint Engineering Research Center for Green Preparation Technology of Biobased Materials, School of Chemistry & Environment, Yunnan Minzu University, Kunming 650500, P. R. China.
Developing efficient and recyclable iodine adsorbents is crucial for addressing radioactive iodine pollution. An imidazole cation-bridged pillar[5]arene polymer (P5-P5I) was synthesized via a salt formation reaction. P5-P5I exhibited a high iodine vapor capture capacity of 2130.
View Article and Find Full Text PDFOptimal network sizes for most robust Turing patterns.
Sci Rep
January 2025
Department of Life Sciences, Imperial College, London, SW7 2AZ, UK.
Many cellular patterns exhibit a reaction-diffusion component, suggesting that Turing instability may contribute to pattern formation. However, biological gene-regulatory pathways are more complex than simple Turing activator-inhibitor models and generally do not require fine-tuning of parameters as dictated by the Turing conditions. To address these issues, we employ random matrix theory to analyze the Jacobian matrices of larger networks with robust statistical properties.
View Article and Find Full Text PDFEfficient and accurate determination of the degree of substitution of cellulose acetate using ATR-FTIR spectroscopy and machine learning.
Sci Rep
January 2025
Institute of Biological and Chemical Systems - Functional Molecular Systems (IBCS-FMS), Karlsruhe Institute of Technology (KIT), Karlsruhe, 76344, Germany.
Multiple linear regression models were trained to predict the degree of substitution (DS) of cellulose acetate based on raw infrared (IR) spectroscopic data. A repeated k-fold cross validation ensured unbiased assessment of model accuracy. Using the DS obtained from H NMR data as reference, the machine learning model achieved a mean absolute error (MAE) of 0.
View Article and Find Full Text PDFIdentification of potential biomarkers for 2022 Mpox virus infection: a transcriptomic network analysis and machine learning approach.
Sci Rep
January 2025
Department of Biochemistry and Molecular Biology, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh.
Monkeypox virus (MPXV), a zoonotic pathogen, re-emerged in 2022 with the Clade IIb variant, raising global health concerns due to its unprecedented spread in non-endemic regions. Recent studies have shown that Clade IIb (2022 MPXV) is marked by unique genomic mutations and epidemiological behaviors, suggesting variations in host-virus interactions. This study aimed to identify the differentially expressed genes (DEGs) induced by the 2022 MPXV infection through comprehensive bioinformatics analyses of microarray and RNA-Seq datasets from post-infected cell types with different MPXV clades.
View Article and Find Full Text PDFIdentification of molecular characteristics in polycystic ovary syndrome using single-cell and transcriptome analysis.
Sci Rep
January 2025
The First Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, No. 26 Heping Road, Harbin, 150040, Heilongjiang, China.
Polycystic Ovary Syndrome (PCOS) is a complex endocrine disorder affecting women of childbearing age, and we aimed to reveal its underlying molecular mechanisms. Gene expression profiles from GSE138518 and GSE155489, and single-cell RNA sequencing (scRNA-seq) data from PRJNA600740 were collected and subjected to bioinformatics analysis to identify the complex molecular mechanisms of PCOS. The expression of genes was detected by RT-qPCR.
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