Porphyrin-Based Covalent Organic Framework Reinforced Hollow Fiber for Solid-Phase Microextraction of Tebuconazole and Propiconazole.

Herein, an amino-functionalized covalent organic framework was synthesized and accommodated in the pores of porous hollow fiber. In this context, tetra (4-aminophenyl) porphyrin was synthesized for preparing the desired covalent organic framework as the extracting sorbent and employed for hollow fiber solid-phase microextraction of tebuconazole and propiconazole. With respect to the amino groups of the as-synthesized porphyrin-based covalent organic framework, the extracting device has the ability of establishing a hydrogen bond with the selected model analytes.

Study on Interaction Between 5-(4 Methoxyphenyl)-1-Phenyl-1H-1,2,3-Triazole with High-Abundant Blood Proteins and Identification of Low-Abundant Proteins by Serum Proteomics.

A comprehensive strategy, including spectroscopic, molecular simulation, proteomics, and bioinformatics techniques, was employed to investigate a novel triazole, 5-(4-methoxyphenyl)-1-phenyl-1H-1,2,3-triazole, its interactions with high-abundance blood proteins, and identification of low-abundance proteins. The binding constants and thermodynamic parameters of the triazole to two high-abundance blood globular proteins, human serum albumin, and human immunoglobulin G (HIgG), were obtained by spectroscopic techniques and computational chemistry. The two-dimensional gel electrophoresis in combination with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry was employed to isolate and identify differentially expressed low-abundance proteins in human blood serum samples following exposure to the triazole.

Nano-Metal-Organic Frameworks Isolated in Mesoporous Structures.

As an alternative to bulk counterparts, metal-organic framework (MOF) nanoparticles isolated within conductive mesoporous carbon matrices are of increasing interest for electrochemical applications. Although promising, a "clean" carbon surface is generally associated with poor compatibility and weak interactions with metal/ligand precursors, which leads to the growth of MOFs with inhomogeneous particle sizes on outer pore walls. Here, a general methodology for in situ synthesis of eight nanoMOF composites within mesochannels with high dispersity and stability are reported.

Spin State Modulation with Oxygen Vacancy Orientates C/N Intermediates for Urea Electrosynthesis of Ultrahigh Efficiency.

The co-electrolysis of CO and NO to synthesize urea has become an effective pathway to alternate the conventional Bosch-Meiser process, while the complexity of C-/N-containing intermediates for C-N coupling results in the urea electrosynthesis of unsatisfactory efficiency. In this work, an electronic spin state modulation maneuver with oxygen vacancies (Ov) is unveiled to effectively meliorate the oriented generation of key intermediates NH and CO for C-N coupling, furnishing urea in ultrahigh yield of 2175.47 µg mg h and Faraday efficiency of 70.

Constructing Accessible Closed Nanopores in Coal-Derived Hard Carbon for Sodium-Ion Batteries.

Hard carbon (HC) materials are suitable anodes for sodium-ion batteries (SIBs) but still suffer from insufficient initial Coulombic efficiency (ICE). Promoting sodium storage via the pore filling mechanism is an effective way to improve the ICE, and the key here is regulating the pore structures of HC. In this work, coal-derived HC is successfully engineered with abundant accessible closed nanopores by treating the coal precursors with a facile destructive oxidation strategy.

Diatomite-Based Hybrid Electrolyte for Improving Reversibility of Cathode/Anode Interface Reaction in Zn-MnO Batteries.

The cyclic stability of aqueous zinc-manganese batteries (ZMBs) is greatly restricted by the side reaction of the anode and the irreversibility of the cathode. In this work, a solid-liquid hybrid electrolyte mixing by traditional ZnSO-based electrolyte and diatomite (denoted as Dtm) is proposed that exhibits good compatibility and reversibility in both the anode interface and the cathode interface. The abundant hydroxyl groups at the anode interface disturb the hydrogen bond network of water molecule, which weakens the corrosion of the active water to Zn anode.

BaNDyT: Bayesian Network Modeling of Molecular Dynamics Trajectories.

Bayesian network modeling (BN modeling, or BNM) is an interpretable machine learning method for constructing probabilistic graphical models from the data. In recent years, it has been extensively applied to diverse types of biomedical data sets. Concurrently, our ability to perform long-time scale molecular dynamics (MD) simulations on proteins and other materials has increased exponentially.

Activating the cGAS-STING Pathway by Manganese-Based Nanoparticles Combined with Platinum-Based Nanoparticles for Enhanced Ovarian Cancer Immunotherapy.

Recent research has demonstrated that activating the cGAS-STING pathway can enhance interferon production and the activation of T cells. A manganese complex, called TPA-Mn, was developed in this context. The reactive oxygen species (ROS)-sensitive nanoparticles (NPMn) loaded with TPA-Mn are developed.

Anti-Inflammatory and Antioxidant Effects of Aqueous Extract on the Liver and Kidney of PCOS Mice.

Background: Polycystic Ovarian Syndrome (PCOS) is an endocrine disorder associated with increased risk of kidney and liver damage. Current treatments have shown contradictory outcomes, and their long-term use causes unwanted side effects. could serve as a complementary medicine to current PCOS treatments.

Vertical Graphene Growth on LDH Nanosheets and Carbon Cloth Nanofibers with NiCo Nanoparticles as a Freestanding Host for High-Performance Lithium-Sulfur Batteries.

Lithium-sulfur batteries have been recognized as one of the excellent candidates for next-generation energy storage batteries because of their high energy density and low cost and low pollution. However, lithium-sulfur batteries have been challenged by low conductivity, low sulfur utilization, poor cycle life, and the shuttle effect of polysulfides. To address these problems, we report here an independent mixed sulfur host.

The effect of physical cues on platelet storage lesion.

Background: Platelet concentrates play an important role in clinical treatment such as platelet function disorders and thrombocytopenia. In the process of preparation and storage of platelets, centrifugation, leukofiltration, and agitation will cause morphological changes and impaired function of platelets, which is associated with the increase of platelet transfusion refractoriness, and named as platelet storage lesion (PSL).

Method: This paper proposes three major operations (centrifugation, agitation, and leukofiltration) that platelets experience during the preparation and storage process, to explore the effect of physical cues on PSL.

Local Adaptive Fusion Regression (LAFR) for Local Linear Multivariate Calibration: Application to Large Datasets.

Impeding linear calibration models from accurately predicting target sample analyte amounts are the target sample-wise deviations in measurement profiles (e.g., spectra) relative to calibration samples.

Lateral Atrial Expression Patterns Provide Insights into Local Transcription Disequilibrium Contributing to Disease Susceptibility.

Background: Transcriptional dysregulation, possibly affected by genetic variation, contributes to disease development. Due to dissimilarities in development, function, and remodeling during disease progression, transcriptional differences between the left atrial (LA) and right atrial (RA) may provide insight into diseases such as atrial fibrillation.

Methods: Lateral differences in atrial transcription were evaluated in CATCH ME (Characterizing Atrial fibrillation by Translating its Causes into Health Modifiers in the Elderly) using a 2-stage discovery and replication design.

NEDD4-Mediated GSNOR Degradation Aggravates Cardiac Hypertrophy and Dysfunction.

Background: The decrease in S-nitrosoglutathione reductase (GSNOR) leads to an elevation of S-nitrosylation, thereby exacerbating the progression of cardiomyopathy in response to hemodynamic stress. However, the mechanisms under GSNOR decrease remain unclear. Here, we identify NEDD4 (neuronal precursor cell expressed developmentally downregulated 4) as a novel molecule that plays a crucial role in the pathogenesis of pressure overload-induced cardiac hypertrophy, by modulating GSNOR levels, thereby demonstrating significant therapeutic potential.

Vascular HIF2 Signaling Prevents Cardiomegaly, Alveolar Congestion, and Capillary Remodeling During Chronic Hypoxia.

Background: Hypoxia is associated with the onset of cardiovascular diseases including cardiac hypertrophy and pulmonary hypertension. HIF2 (hypoxia-inducible factor 2) signaling in the endothelium mediates pulmonary arterial remodeling and subsequent elevation of the right ventricular systolic pressure during chronic hypoxia. Thus, novel therapeutic opportunities for pulmonary hypertension based on specific HIF2 inhibitors have been proposed.

Random Survival Forest Machine Learning for the Prediction of Cardiovascular Events Among Patients With a Measured Lipoprotein(a) Level: A Model Development Study.

Background: Established risk models may not be applicable to patients at higher cardiovascular risk with a measured Lp(a) (lipoprotein[a]) level, a causal risk factor for atherosclerotic cardiovascular disease.

Methods: This was a model development study. The data source was the Nashville Biosciences Lp(a) data set, which includes clinical data from the Vanderbilt University Health System.

Taylor Series Approximation for Accurate Generalized Confidence Intervals of Ratios of Log-Normal Standard Deviations for Meta-Analysis Using Means and Standard Deviations in Time Scale.

With contemporary anesthetic drugs, the efficacy of general anesthesia is assured. Health-economic and clinical objectives are related to reductions in the variability in dosing, variability in recovery, etc. Consequently, meta-analyses for anesthesiology research would benefit from quantification of ratios of standard deviations of log-normally distributed variables (e.

Classifying Race in Out-of-Hospital Cardiac Arrest and Potential Disparities: A Retrospective Cohort Study.

Background: Although racial disparities have been described in resuscitation, little is known about potential bias in race classification of out-of-hospital cardiac arrest (OHCA).

Methods: We conducted a retrospective cohort study of adults treated by emergency medical services (EMS) for nontraumatic OHCA in King County, WA between January 1, 2018, and December 31, 2021. We assessed agreement using κ and evaluated patterns of missingness between EMS-assessed race versus comprehensive race classification from hospital and death records.

A global review of national guidelines of post-exposure prophylaxis for the prevention of HIV.

Introduction: The World Health Organization (WHO) recommends the use of antiretroviral drugs as post-exposure prophylaxis (PEP) for preventing HIV acquisition for occupational and non-occupational exposures. To inform the development of global WHO recommendations on PEP, we reviewed national guidelines of PEP for their recommendations.

Methods: Policies addressing PEP from 38 WHO HIV priority countries were obtained by searching governmental and non-governmental websites and consulting country and regional experts; these countries were selected based on HIV burden, new HIV acquisitions and the number of HIV-associated deaths.

Exploring socio-economic inequalities in mental healthcare utilization in adults with self-reported psychological distress: a survey-registry linked cohort design.

Aims: Although individuals with lower socio-economic position (SEP) have a higher prevalence of mental health problems than others, there is no conclusive evidence on whether mental healthcare (MHC) is provided equitably. We investigated inequalities in MHC use among adults in Stockholm County (Sweden), and whether inequalities were moderated by self-reported psychological distress.

Methods: MHC use was examined in 31,433 individuals aged 18-64 years over a 6-month follow-up period, after responding to the General Health Questionnaire-12 (GHQ-12) in 2014 or the Kessler Six (K6) in 2021.

Early discharge programme after transcatheter aortic valve implantation based on close follow-up supported by telemonitoring using artificial intelligence: the TeleTAVI study.

Aims: Evidence regarding the safety of early discharge following transcatheter aortic valve implantation (TAVI) is limited. The aim of this study was to evaluate the safety of very early (<24) and early discharge (24-48 h) as compared to standard discharge (>48 h), supported by the implementation of a voice-based virtual assistant using artificial intelligence (AI) and natural language processing.

Methods And Results: Single-arm prospective observational study that included consecutive patients who underwent TAVI in a tertiary hospital in 2023 and were discharged under an AI follow-up programme.

Trends and Themes in the Study of Value in Orthopedic Surgery: A Systematic Review.

Background: The study of value in orthopedic surgery aims to maximize health outcomes gained per unit cost through various health economic tools but is fragmented across various subspecialties and geographies. Therefore, it is difficult to ascertain whether this research methodology is being used to its full potential across all orthopedic subspecialties and geographies.

Purpose: We sought to assess the distribution of prior health economics literature in orthopedic surgery across subspecialties and geographies.

Development and validation of a UV-Vis spectrophotometric method for estimation of total content of chalcone.

In this study, a straightforward spectrophotometric method was developed for quantifying the total content of chalcones in a sample. The method exhibits linearity, accuracy, precision, repeatability, and enables the estimation of total chalcone content in trans-chalcone equivalents for a sample diluted in carbon tetrachloride and added to antimony pentachloride. The analytical wavelength was determined to be 390 nm.

The game of language learning and rewiring biocognitive receptors.

This study introduces a framework that integrates AI-driven Game-Based Language Teaching (GBLT) with advanced neuroscience to transform language education for visually impaired learners. Built on the principles of neuroplasticity and epigenetics, the approach leverages educational psychology with the help of adaptive AI to deliver personalized, gamified learning experiences that reshape neural pathways, improve memory retention, and strengthen emotional resilience. By fostering low-stress, immersive environments, it triggers positive epigenetic changes, enhancing long-term cognitive flexibility.

Production method for electrospun chitosan-based membranes.

Electrospinning can be used to prepare membranes with characteristics for biomedical application. In this work, the electrospinning conditions for the fabrication of membranes based on polymers extracted from natural sources such as chitosan and collagen were optimized (injection flow, injection volume, distance from the collector to the neddle, needle size and voltage). Specifically, four formulations were prepared with pure chitosan and mixtures of collagen (purified or hydrolyzed) and agarose.