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Synergistic antimicrobial potential of Cinnamomum triplinerve essential oils combined with polymyxin B against multidrug-resistant Klebsiella pneumoniae
Rational Design and Dynamic Ru Exsolution Enables Active Heterostructures Surpassing Pt for Alkaline Hydrogen Evolution
Myo-Inositol modulates AKT signalling, mitochondrial protein expression and intracellular Ca²⁺dynamics in human dermal fibroblasts
Manufacturing green transformation improves public health in China
The smallest tetrapod from the Middle Triassic of South America: a new procolophonoid parareptile from the Ladinian of Southern Brazil
Abstract The Middle Triassic fossil record of South American parareptiles is scarce, with only a few procolophonoid specimens known. Here, we describe Sauropia macrorhinus gen. et sp. nov., a procolophonoid from the Ladinian (Pinheiros-Chiniquá Sequence of the Santa Maria Supersequence) of southern Brazil. The holotype, a nearly complete skull measuring only 9.5 mm in length, represents the smallest tetrapod known from these deposits. Its unique combination of features includes a proportionally large external naris, slender dorsal ramus of the maxilla, broad interorbital space, and three premaxillary teeth. Phylogenetic analyses consistently recover Sauropia macrorhinus gen. et sp. nov. as an early-diverging procolophonid, although its phylogenetic placement is complicated by its putatively immature ontogenetic stage. Its morphology provides valuable insight into early developmental stages of parareptiles and contributes to the understanding of Middle Triassic terrestrial ecosystems. Based on size and dentition, the new taxon was likely insectivorous or fed on other small invertebrates, possibly being predated upon by small carnivorous organisms. This discovery expands the taxonomic and ecological diversity known for Middle Triassic faunas of South America and enhances our understanding of the structure and complexity of terrestrial food webs in Middle Triassic ecosystems, preceding the Carnian Pluvial Episode and the rise of dinosaurs.
Alcoholic and non-alcoholic acute pancreatitis mortality in the United States, 2006–2023: A nationwide trend analysis
Correction: Prevalence and drug resistance profiles of nontuberculous mycobacteria isolated from Iranian fish pond waters
Directionally Aligned “Mechanical Balance” Design Enables Near-Frictionless Li <sup>+</sup> Transport in Polymer Electrolytes
Patterns of herbal medicine utilization for hypertension during the Sudanese crisis of 2025
Preparation and characterization of typical potassium salt dry water and its fire extinguishing performance
MLS-based recognition and parameter extraction of roadway roof bolts/cables from 3D point clouds
Comparing qualitative thematic analysis and machine-based topic modelling in the analysis of autistic and ADHD young people’s accounts of emotions
Abstract Systematic analysis of interview data can provide important insights into how young people experience and interpret their emotions. Both human-led qualitative (e.g., thematic analysis) and machine-driven quantitative (e.g., natural language processing [NLP]) analytical approaches are available, but their solutions are rarely compared. Interview responses by 57 neurodivergent adolescents to questions about their emotions, previously analysed using reflexive thematic analysis (RTA), were submitted to Topic Modelling (TM). Topic labels were developed in collaboration with neurodivergent co-researchers to ground their meaning in the lived experience of neurodivergent communities. Topics were mapped to RTA themes or subthemes to examine their proximities. Topic-based cluster analysis was used to identify participant groupings with similar topic distributions. TM revealed 10 interpretable and meaningful emotion-related topics – some closely overlapping with and others differing from the RTA themes. TM topics differentiated the young people’s emotional experiences at school from those in other settings. TM and RTA resulted in overlapping and different insights into the meaning of neurodivergent young people’s accounts of their emotions. Our findings demonstrate the potential use of TM in interview analysis and might suggest a potential complementarity between the TM topics and RTA themes, to be further explored using more advanced algorithms and a more sophisticated NLP implementation.
A multimodal learning and simulation approach for perception in autonomous driving systems
Early prediction of pressure injury risk in hospitalized patients using supervised machine learning models based on nursing records
Catastrophic instability criterion for roadway roof and sidewall rock mass under deep-hole roof blasting in Songshan coal mine
Abstract To investigate the catastrophic instability mechanisms of roadway roof and sidewall rock masses under deep-hole roof blasting in coal mines, this study establishes potential energy functions and instability criteria models for layered roof and sidewall strata based on cusp catastrophe theory. First, the layered roof is idealized as a simply supported beam. Considering the coupling effects of deep-hole blasting loads, rock mechanical properties, and support resistance, a total potential energy equation for the system is derived, and the cusp catastrophe equation along with sufficient and necessary conditions for instability are obtained. Second, for the roadway sidewall, a tensile-shear coupled sliding failure mechanical model is proposed to analyze the influence of blasting loads on sidewall stability, and a corresponding catastrophe instability criterion is developed. Through theoretical derivation, the critical maximum explosive charge for both the layered roof and sidewall rock masses is formulated, along with a mechanical criterion for instability judgment. Finally, taking the lower roadway of the 2205 working face in Songshan Coal Mine as the engineering background, theoretical calculations indicate that the maximum critical explosive charge for the roadway is 93.3 kg. Field monitoring shows that, within 1 day after blasting, the roof subsidence increased by 5 mm and the convergence of the two sidewalls increased by 11 mm, indicating that the roadway was only slightly affected by roof deep-hole blasting.This work provides a theoretical basis and engineering guidance for the prediction and control of roadway rock instability under deep-hole roof blasting conditions.
Exploration of real-world outcomes in patients with previously treated HR+/HER2- and triple negative metastatic breast cancer
Differential <i>Hes1</i> activation defines neural stem cell lineage commitment and niche maintenance in embryonic and adult mouse cortex
Mode of Hes1 activation and its differential expression are crucial for the maintenance of neural stem cells/progenitor cells (NSCs/NPCs) in the embryonic cortex. This differential mode of Hes1 activation has been translated into a heterogeneous population of NSCs comprising Notch-independent Hes1- expressing (NIHes1) NSCs and Notch-dependent Hes1- expressing (NDHes1) radial glial cells (RGCs). Using single-cell transcriptomics and a Nestin-CreERT2;NIHes1 fl/fl conditional knock-out mouse model, we have characterized the NIHes1 NSCs. Our analyses show that NIHes1 NSCs are the ancestral precursor NSCs that generate RGCs and intermediate progenitor cells during development. Loss of NIHes1 expression significantly alters the NSC niche, leading to increased gliogenesis and aberrant migration of projection neurons. NIHes1 NSCs are set aside at embryonic stages as adult neural stem cells and are maintained by NIHes1 expression even at adult stage. Our findings suggest that NIHes1 NSCs are functionally distinct Hes1 -expressing NSCs, which are critical for establishing both embryonic and adult NSC niches, thereby contributing to the overall cortical development.