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Effects of nursing music intervention on cardiovascular patients transferred in advanced life support ambulances
Identification of potential susceptibility loci for non-small cell lung cancer through whole genome sequencing in circadian rhythm genes
How a junk-food splurge can change your brain activity
Association between multimorbidity and having less than 20 natural teeth among Chinese older adults: a cross-sectional study
Morphology of the maxilla informs about the type of predation strategy in the evolution of Abelisauridae (Dinosauria: Theropoda)
Abstract Abelisauridae is a clade of theropods distinguished by short, ornamented skulls and strongly reduced forelimbs. They represented the most abundant predatory dinosaurs in Gondwana during the Cretaceous. Bolstered by biomechanical studies, the morphology of the skull and vertebral column of abelisaurids, have led researchers to hypothesize that Late Cretaceous forms were “specialized hunters.” Here, we use the morphology of the abelisaurid maxilla to test the inclusion of the Lower Cretaceous Spectrovenator within the specialized hunter category. Additionally, we analyze the diversity and disparity of the abelisaurid maxilla in a macroevolutionary context. We quantified the maxillary shape in 17 taxa using 2D geometric morphometrics and analyzed different evolutionary scenarios and trends with phylogenetic comparative methods. The results of all the analyses (phylogenetic ordination methods, Z, and R2 comparison in phylogenetic generalized least squares, model selection, and estimated taxa-removal analysis) suggest that the hunter specialization appeared during the Early Cretaceous, revealing that Cretaceous abelisaurids can be considered specialist hunters. High levels of morphological disparity in the maxilla occurred shortly after the Cenomanian-Turonian faunistic turnover, which involved drastic changes in the South American terrestrial faunal assemblages. Moreover, the high evolutionary rates of the maxillary shape change in Abelisauridae support a shift in ecological pressures or socio-sexual mechanisms, which were the main drivers of the evolution of the clade rostrum. Our study invites to analyze more osteological elements of the abelisaurid skull under a quantitative macroevolutionary framework to test our results more comprehensively.
Stories of people, past, present and future: Books in brief
The RNA-binding protein LARP6 regulates the alternative splicing of related genes in MDA-MB-231 cells
Hybrid metaheuristic optimization for detecting and diagnosing noncommunicable diseases
Impact of coronavirus disease 2019 pandemic on the trends of care-seeking behavior for ocular diseases: a systematic review and meta-analysis
Early warning method for charging thermal runaway of electric vehicle lithium-ion battery based on charging network
A multi-point calibration method for electron probe microanalysis (EPMA) of indium in sphalerite (ZnS)
Abstract This article presents a multi-point calibration approach for electron probe microanalysis (EPMA) for the trace element analysis of indium in sphalerite (ZnS). To define a multi-point calibration curve, indium and cadmium-doped ZnS crystals in a concentration range from 0 (blank) to ~ 1500 µg / g were used. The samples were measured with two different analytical settings (25 kV acceleration voltage and 100 nA beam current as well as 7 kV and 200 nA). The figures of merit including, beam stability, lower limit of detection and limit of quantification as well as the reproducibility and precision are assessed. Equally, the line overlap of Cd and chemical shift due to non-matrix matched standards is discussed. The multi-point calibration approach results in a 2–3 times improved analytical precision compared to the classical calibration approach using only one calibration sample, and detection limits down to about 20 µg / g were achieved.
Consumption of lettuce with seaweed extract biostimulant application improved iron homeostasis in a randomized interventional trial of healthy individuals
Global, regional, and national epidemiology of osteoarthritis in working-age individuals: insights from the global burden of disease study 1990–2021
Mathematical modelling of golden apple drying and performance evaluation of solar drying systems using energy and exergy approach
Abstract The study presents the energy and exergy analysis of two differently shaped dryers connected to the two same type of drying system and drying kinetics of the apple slice dried in the stated drying chambers. The exergy inflow, outflow and efficiency of the solar air hears and drying chamber were evaluated. The result revealed that significant variations in energy and exergy efficiencies were observed within the dryers and solar air heaters (SAHs). The average efficiency of SAH 1 and SAH 2 on day 1 were 53.85% and 49.79%, respectively, while the corresponding dryers’ average efficiencies were 37.94% and 36.15%. On day 2, the average efficiency of SAH 1 and SAH 2 were 47.18% and 44.19%, respectively, with the dryers’ average efficiencies of 35.9% and 34.4%. The average exergy efficiency followed the same pattern as energy efficiency, with SAH 1 and Dryer 1 being higher than SAH 2 and Dryer 2 on both days. The drying of apple slices took place entirely during the falling rate period. To predict drying behavior of the apple slices, ten thin-layer drying models were assessed. The Midilli et al. was found the best fit (R2 = 0.9969), followed by Logarithmic and Two-term models.
A local adaptive fuzzy spectral clustering method for robust and practical clustering
Integrated computational analysis of molecular mechanisms underlying perfluorooctane sulfonic acid induced thyroid toxicity
Abstract Perfluorooctane sulfonic acid (PFOS), a persistent organic pollutant, significantly disrupts thyroid function. This study presented an integrated computational approach, combining network toxicology, molecular docking, and molecular dynamics simulations to systematically elucidate the molecular mechanisms underlying PFOS induced thyroid toxicity. Through integrated analysis of the Comparative Toxicogenomics Database (CTD), GeneCards, and Online Mendelian Inheritance in Man (OMIM) databases, we identified 205 potential thyroid toxicity-related targets. Protein-protein interaction network analysis revealed 34 hub targets, with TP53, JUN, ESR1, AKT1, and CTNNB1 emerging as central nodes in the toxicity network. Functional enrichment analysis demonstrated significant enrichment in the PPAR signaling pathway, fatty acid metabolism, AGE-RAGE pathway, and AMPK pathway, indicating that PFOS influences thyroid function through multiple signaling pathways. Molecular docking studies showed that PFOS forms stable complexes with core target proteins, with binding energies ranging from − 4.9 to -9.7 kcal/mol. Molecular dynamics simulations further validated the structural stability of these complexes, with PFOS-AKT1 and PFOS-TP53 exhibiting the highest conformational stability. This study revealed the multi-target and multi-pathway characteristics of PFOS-induced thyroid toxicity, providing novel insights into its toxicological mechanisms.