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A hybrid q-rung linear diophantine fuzzy WASPAS approach for artificial intelligence algorithm selection in physical education
Author Correction: Structure, regulation and assembly of the photosynthetic electron transport chain
Triterpenoid derivatives inhibit Gli-mediated transcription in human glioblastoma cell line via direct interaction with Gli1
Faecal microbiota differences between an autochthonous pig breed and a commercial line
Abstract The gut microbiota is recognized as one of the most complex microbial ecosystems in mammals. In pigs, the structure of this microbial community significantly influences their overall physiological functions, with breed also contributing to its diversity. This study explores the potential differences in the bacterial composition of the faecal microbiota between two pig breeds: the autochthonous Nero Siciliano (NS) and a commercial crossbreed (CB) (Landrace × Large White). To determine if differences in faecal microbiota composition occur, five NS pigs and seven CB pigs, all managed under identical breeding conditions, were compared at three different time points. The analysis of alpha and beta diversity metrics suggested that time influenced the bacterial profile’s shape. The two pig breeds differed taxonomically in their faecal microbiota composition, showing dynamic changes over time. The prediction of Enzyme Commission numbers was similar between the breeds and time points, but the overall predicted functional profile of the microbial communities differed according to breed and time points. The relative abundances of biosynthesis pathways and macromolecule modification pathways were higher in NS, whereas metabolite precursor and energy generation pathways were higher in CB. Findings of this study can contribute to a better understanding of the faecal microbiota in autochthonous and commercial pigs, providing further insights for breeding management.
TET2 has endothelial-specific roles in interferon responses that are dysregulated by hyperglycemia in vitro and in vivo
Application of artificial intelligence graph convolutional network in classroom grade evaluation
BCI inhibits MKP3 by targeting the kinase-binding domain and disrupting ERK2 interaction
Digital‐Twin‐Assisted Insights Into Irreversible Capacity and Activation Strategy Power High‐Loading Solid‐State Batteries
Abstract In solid‐state lithium‐ion batteries, the fraction of active materials involved in electrode electrochemistry reduces with the increase of electrode thickness. Conventional wisdom suggests that the degree of reaction linearly decreases toward the current collector as in lithium‐ion batteries, which is, however, limited by the high difficulty of experimental capture of operando charge and mass transport. Electrode dynamics simulations can provide space visualization but are usually based on simplified models. Herein, we build digital‐twin electrodes with digital‐space voxel microstructure based on synchrotron tomography, which transforms the electrode architecture from real space to digital space for the construction of precision models. From the digital model‐driven simulation, we find an “lithium trapping” effect, stemming from susceptible lithium stuck in the solid electrolyte, triggers an inadequate reaction of the intermediate region of electrodes. Then, we construct locally accelerated ion paths activating the lithium trapping, indicating that this strategy can significantly guide the sustainable battery design for next‐generation energy storage.
Adsorptive behavior of poly (vinylidene fluoride) membranes for the recovery of lignin-derived hydrophobic deep eutectic solvents
Abstract Recently, membrane technology has gained significant traction as an energy-efficient alternative to traditional thermal processes for solvent recovery. Deep eutectic solvents (DESs) have emerged as sustainable alternatives to conventional organic solvents, yet a systematic methodology for selecting compatible membrane materials for their recovery remains underdeveloped. This study established a predictive framework for membrane material selection in hydrophobic DES applications using Hansen Solubility Parameters (HSP) with inverted criteria targeting materials with relative energy difference (RED) values greater than 1.0. Flat sheet membranes were fabricated via the non-solvent induced phase separation (NIPS) technique. Four NIPS fabricated polymer membranes were evaluated: polysulfone, cellulose acetate, polyvinylidene fluoride (PVDF) fabricated with polyethylene glycol (PEG) as a pore-forming agent, and polybenzimidazole (PBI). The HSP approach successfully predicted membrane-solvent compatibility, with polysulfone (RED = 0.6) and cellulose acetate (RED = 0.9) dissolving completely within 24 h, while PVDF (RED = 1.9) and PBI (RED = 1.1) maintained structural integrity throughout a 7-day exposure period. Furthermore, PVDF demonstrated superior performance with minimal weight gain (3.0%), hydrophobic surface characteristics (122° water contact angle), and enhanced mechanical properties following DES exposure. Comprehensive chemical and morphological characterization confirmed PVDF’s chemical stability and revealed a surface-selective interaction mechanism involving simultaneous PEG (pore-forming agent) extraction and DES component adsorption. Adsorption kinetics followed pseudo-first-order behavior with reversible characteristics, best described by the Temkin isotherm model (R² = 0.9987). PVDF membranes-maintained separation functionality with average lignin rejection (75.2 ± 7.69%) and demonstrated filtration permeability of 2.0 ± 0.34 LMH/bar. This methodology provides a rational approach for membrane selection in emerging solvent systems, contributing to the advancement of sustainable separation technologies for DES-based biomass processing applications.
A single-cell multiomics approach for simultaneous analysis of replication timing and gene expression
Assessing Fluorosulfonyl Pentafluorooxosulfate (FSO <sub>2</sub> –OSF <sub>5</sub> ) Reservoir Capacity: Selective SOF <sub>4</sub> , SO <sub>2</sub> F <sub>2</sub> , and [OSF <sub>5</sub> ] <sup>–</sup> Anion Release
Abstract Herein, the investigation of inorganic reagents containing the pentafluorooxosulfate (OSF 5 ) moiety is presented. First, the gram‐scale preparation of the reactive yet stable pentafluorosulfur hypofluorite (FOSF 5 ) as well as its spectroscopic data are reported. Then, the preparation and full characterization of the corresponding fluorosulfonyl pentafluorooxosulfate (FSO 3 SF 5 , FSPO ) by the fluoro‐pentafluorooxosulfanylation of SO 2 are highlighted. This liquid reagent (b.p. 39.6 °C) was later successfully used for modulable release of [cat][OSF 5 ] ion‐pair. The selective, in‐solution release of SOF 4 and SOF 4 /SO 2 F 2 species was also demonstrated. Finally, the SuFEx reactivity was investigated and showed interesting reservoir ability. Indeed, we report the one‐pot synthesis of sulfonyl fluoride (‐SO 2 F) and sulfurimidoyl fluoride (─N═S(O)F 2 ) species.
Stretch‐Induced Structural Ordering and Orientation for Tensile Yield Behavior and Anisotropic Optical Property of Molecular Granular Materials
Abstract The densely packed sub‐nm particles, molecular granular materials (MGMs), represent a new class of functional materials that deliver distinct mechanical properties from polymers and conventional granular materials. However, their costly synthesis and the vague understanding of their mechanical property hinder extensive progress. Herein, the supramolecular complexation approach is developed for the feasible construction of MGMs with hierarchical structures, while in situ small angle X‐ray scattering (SAXS) is applied to monitor the mechanical deformation of MGMs for microscopic understanding. Amphiphilic oligomers are assembled from the ionic attraction of 1 nm molecular clusters and further pack into ordered hexagonal phases (HEX1) driven by hydrophobic interaction. Interestingly, stretching can induce structural orientation, and thus triggering the transformation of HEX1 to another hexagonal phase (HEX2) with denser packing, accounting for the tensile yield behavior of the MGMs. The supramolecular structure endows hierarchical structure relaxation dynamics, enabling their unique viscoelasticity with a resilient rubbery plateau even at high temperatures. Their flexibility renders the capability to facilely process the MGMs into highly oriented films and coatings with anisotropic properties for potential applications in optical device fabrications.
Structured AI decision-making in disaster management
Abstract With artificial intelligence (AI) being applied to bring autonomy to decision-making in safety-critical domains such as the ones typified in the aerospace and emergency-response services, there has been a call to address the ethical implications of structuring those decisions, so they remain reliable and justifiable when human lives are at stake. This paper contributes to addressing the challenge of decision-making by proposing a structured decision-making framework as a foundational step towards responsible AI. The proposed structured decision-making framework is implemented in autonomous decision-making, specifically within disaster management. By introducing concepts of Enabler agents, Levels and Scenarios, the proposed framework’s performance is evaluated against systems relying solely on judgement-based insights, as well as human operators who have disaster experience: victims, volunteers, and stakeholders. The results demonstrate that the structured decision-making framework achieves 60.94% greater stability in consistently accurate decisions across multiple Scenarios, compared to judgement-based systems. Moreover, the study shows that the proposed framework outperforms human operators with a 38.93% higher accuracy across various Scenarios. These findings demonstrate the promise of the structured decision-making framework for building more reliable autonomous AI applications in safety-critical contexts.
CK1ε/SRSF10 axis regulates the alternative splicing of Bcl-x in lung cancer cells
Comprehensive analysis of MAGE-A10 in pan-cancer and its validation in gastric cancer
Major pathophysiological changes in pulmonary disease provided a molecular insight based on deep learning approach
A fuzzy based hybrid approach for risk assessment of anesthesiologists using OPA and EDAS methods
Associations between alcohol consumption and spending on gambling like mechanisms in video games
Abstract Loot boxes are purchasable digital containers in video games that hold randomised rewards. Many loot boxes meet both psychological and legal criteria for gambling. Previous studies have linked risky engagement with, and increased spending on, loot boxes with both problem gambling and excessive gaming symptomatology. Given similarities between loot boxes and conventional gambling, and the well documented relationship between alcohol and gambling, this study examined whether loot box spending was associated with drinking behaviours. In a pre-registered study, participants (N = 199) from Australia, Aotearoa (New Zealand), and the United States completed an online survey assessing alcohol consumption, loot box spending behaviours, and problem gambling and gaming symptomatology. Small-to-moderate positive correlations between drinking during gaming sessions and increased risky loot box engagement and spending were observed. In contrast, measures of problematic alcohol consumption did not correlate with increased spending or risky engagement with loot boxes. Results suggest that drinking alcohol while gaming may be associated with risky engagement with, and increased spending on, loot boxes.