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Plastome characterization and its phylogenetic implications on Lithocarpus (Fagaceae).
BMC Plant Biol
December 2024
Yunnan Key Laboratory of Plant Reproductive Adaptation and Evolutionary Ecology, Institute of Biodiversity, School of Ecology and Environmental Science, Yunnan University, Kunming, 650500, China.
Background: The genus Lithocarpus is a species-rich dominant woody lineage in East Asian evergreen broad-leaved forests. Despite its ecological and economic significance, the plastome structure and evolutionary history of the genus remain poorly understood. In this study, we comprehensively analyzed the 34 plastomes representing 33 Lithocarpus species.
View Article and Find Full Text PDFSystematic review: differences in complete blood count component rhythms.
Sleep Adv
December 2024
Department of Allergy, Division of Pediatric Allergy and Immunology, Ann & Robert H. Lurie Children's Hospital, Chicago, IL, USA.
Study Objectives: The complete blood count (CBC) is one of the most commonly ordered blood tests with a large range of reference values that does not consider time of day for interpretation. Our objective was to systematically review this topic to report on peak and trough timing of CBC values.
Methods: A systematic search was performed for studies evaluating any component of the CBC with at least three collections over 24 hours.
Individual Diameter Growth Modeling of (B. Heyne. ex Roth) in Terai Arc Landscape of Nepal.
Scientifica (Cairo)
December 2024
Department of Forest Biometrics, Forest Research and Training Centre, Babarmahal, Kathmandu 44600, Nepal.
The development of a model is highly crucial in cases where there are intricate geographical features, and conducting a forest inventory is both time-consuming and expensive, requiring significant manual effort for measurement. Acquiring reliable data regarding the forest's condition and future progression is essential for making informed decisions about its management. Therefore, this research aimed to create an individual tree diameter growth model specifically for (B.
View Article and Find Full Text PDFCombination of Coevolutionary Information and Supervised Learning Enables Generation of Cyclic Peptide Inhibitors with Enhanced Potency from a Small Data Set.
ACS Cent Sci
December 2024
Department of Molecular Sciences and Nanosystems, Ca' Foscari University of Venice, Via Torino 155, 30172 Mestre, Italy.
Computational generation of cyclic peptide inhibitors using machine learning models requires large size training data sets often difficult to generate experimentally. Here we demonstrated that sequential combination of Random Forest Regression with the pseudolikelihood maximization Direct Coupling Analysis method and Monte Carlo simulation can effectively enhance the design pipeline of cyclic peptide inhibitors of a tumor-associated protease even for small experimental data sets. Further studies showed that such -evolved cyclic peptides are more potent than the best peptide inhibitors previously developed to this target.
View Article and Find Full Text PDFDo machine learning methods solve the main pitfall of linear regression in dental age estimation?
Forensic Sci Int
December 2024
Center of Epidemiology, Biostatistics and Medical Information Technology, Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche, Ancona 60126, Italy.
Introduction: Age estimation is crucial in forensic and anthropological fields. Teeth, are valued for their resilience to environmental factors and their preservation over time, making them essential for age estimation when other skeletal remains deteriorate. Recently, Machine Learning algorithms have been used in age estimation, demonstrating high levels of accuracy.
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