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Ion pairing in aqueous tetramethylammonium-acetate solutions by neutron scattering and molecular dynamics simulations.
Phys Chem Chem Phys
January 2025
Université Paris Cité, CNRS, Laboratoire de Biochimie Théorique, 13 rue Pierre et Marie Curie, 75005, Paris, France.
Tetramethylammonium (TMA) is a ubiquitous cationic motif in biochemistry, found in the charged choline headgroup of membrane phospholipids and in tri-methylated lysine residues, which modulates histone-DNA interactions and impacts epigenetic mechanisms. TMA interactions with anionic species, particularly carboxylate groups of amino acid residues and extracellular sugars, are of substantial biological relevance, as these interactions mediate a wide range of cellular processes. This study investigates the molecular interactions between TMA and acetate, representing carboxylate-containing groups, using neutron scattering experiments complemented by force fields and molecular dynamics (MD) simulations.
View Article and Find Full Text PDFHighly effective batch effect correction method for RNA-seq count data.
Comput Struct Biotechnol J
December 2024
Department of Computer Science and Information Science, California State University San Marcos, 333 S. Twin Oaks Valley Rd, San Marcos, CA 92096, USA.
RNA sequencing (RNA-seq) has become a cornerstone of transcriptomics, providing detailed insights into gene expression across diverse biological conditions and sample types. However, RNA-seq data are often confounded by batch effects, systematic non-biological variations that compromise data reliability and obscure true biological differences. To address these challenges, we introduce ComBat-ref, a refined batch effect correction method designed to enhance the statistical power and reliability of differential expression analysis in RNA-seq data.
View Article and Find Full Text PDFImproving spleen segmentation in ultrasound images using a hybrid deep learning framework.
Sci Rep
January 2025
School of Mechanical Engineering, College of Engineering, University of Tehran, Tehran, Iran.
This paper introduces a novel method for spleen segmentation in ultrasound images, using a two-phase training approach. In the first phase, the SegFormerB0 network is trained to provide an initial segmentation. In the second phase, the network is further refined using the Pix2Pix structure, which enhances attention to details and corrects any erroneous or additional segments in the output.
View Article and Find Full Text PDFA dual decomposition integration and error correction model for carbon price prediction.
J Environ Manage
January 2025
School of Management, Xi'an University of Architecture and Technology, Xi'an, 710055, China.
Accurately predicting carbon prices is crucial for effective government decision-making and maintenance the stable operation of carbon markets. However, the instability and nonlinearity of carbon prices, driven by the complex interaction between economic, environmental, and political factors, often result in inaccurate predictions. To confront this challenge, this paper proposed a carbon price prediction model that integrates dual decomposition integration and error correction.
View Article and Find Full Text PDFTranslating and culturally adapting the sleep disturbance scale for children into Malayalam language: Enhancing pediatric health in the Indian context.
J Indian Soc Pedod Prev Dent
October 2024
Department of Pediatric and Preventive Dentistry, PMS College of Dental Science and Research, Thiruvananthapuram, Kerala, India.
Purpose: The sleep disturbance scale for children (SDSC) is a well-regarded tool for assessing pediatric sleep disorders, covering areas such as sleep initiation, breathing issues, and arousal disorders. The SDSC, known for its reliability and validity, has been adapted for various age groups and languages and aligns with the Association of Sleep Disorders Centers classification system. This study aimed to translate and culturally adapt the SDSC into Malayalam language for use in Kerala, conducting a test with parents from the Trivandrum district.
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