Proteomic Analysis Reveals the Protective Effects of Selenomethionine Against Liver Oxidative Injury in Piglets.

This study investigated the protective effects of high selenomethionine (SeMet) supplementation on liver injury caused by oxidative stress in piglets and explored the underlying mechanisms. A total of 18 piglets were randomly assigned to three groups, with six replicates in each group. The control (CON) and diquat (DQ) groups were fed a basal diet supplemented with 0.

Reduced Endurance Duration of Cervical Paraspinal Extensors Serves as an Independent Risk Factor for Axial Symptoms after Laminoplasty in Cervical Spondylotic Myelopathy Patients: A Prospective Study.

Study Design: Prospective observational study.

Objective: To investigate the impact of paraspinal extensor endurance duration on the development of axial symptoms (AS) following laminoplasty (LP).

Summary Of Background Data: AS is a common complication after LP.

Childhood trauma is associated with perceived stress and hair cortisol levels characterized by the BDNF Val66Met genotype and sex.

Introduction: Childhood trauma increases the risk of mental disorders by affecting both psychological and physiological stress responses in adulthood, including perceived stress and long-term hypothalamic-pituitary-adrenal (HPA) axis activity. The mechanisms underlying these effects may involve gene-environment (G × E) interactions, with the brain-derived neurotrophic factor (BDNF) gene Val66Met polymorphism and sex playing important roles. This study aims to investigate how childhood trauma influences stress responses, considering the BDNF Val66Met polymorphism and sex differences.

Epigenetic modulation of social cognition: exploring the impact of methylation in brain-derived neurotrophic factor and oxytocin receptor genes across sex.

Social cognition, which ranges from recognizing social cues to intricate inferential reasoning, is influenced by environmental factors and epigenetic mechanisms. Notably, methylation variations in stress-related genes like brain-derived neurotrophic factor (BDNF) and the oxytocin receptor (OXTR) are linked to distinct social cognitive functions and exhibit sex-specific differences. This study investigates how these methylation differences affect social cognition across sexes, focusing on both perceptual and inferential cognitive levels.

Cyanogel-Transformed Porous Palladium and Iron Framework Intermixed with rGO for Wearable Hydrogen Sensing.

Wearable hydrogen (H) sensing is necessary to monitor the H leakage in its transportation and storage, of which ppm-concentration detection limit and fast response at room temperature are highly desired. Here, a wearable H sensing working at room temperature is developed with palladium and iron framework intermixed with reduced graphene oxide (rGO//Pd-Fe FW), which is synthesized by combined Pd-Fe cyanogel immobilized with graphene oxide as precursor and in situ reduction. As-prepared rGO//Pd-Fe FW is observed with porous FW structure composed of interconnected Pd-Fe nanoparticles, in which rGO is evenly intermixed.

Association of hair cortisol concentration with brain-derived neurotrophic factor gene methylation: The role of sex as a moderator.

Hair cortisol concentration (HCC) reflects the long-term activity of the hypothalamus-pituitary-adrenal (HPA) axis in response to stress. Brain-derived neurotrophic factor DNA methylation (BDNF DNA) may affect HCC, and sex and Val66Met may contribute to this association. Thus, the aim of this study was to investigate the associations between HCC and Brain-derived neurotrophic factor (BDNF) DNA, and the moderating effects of Val66Met and sex.

Decorating Pd-Au Nanodots Around Porous InO Nanocubes for Tolerant H Sensing Against Switching Response and HS Poisoning.

With the recently-booming hydrogen (H) economy by green H as the energy carriers and the newly-emerged exhaled diagnosis by human organ-metabolized H as a biomarker, H sensing is simultaneously required with fast response, low detection limit, and tolerant stability against humidity, switching, and poisoning. Here, reliable H sensing has been developed by utilizing indium oxide nanocubes decorated with palladium and gold nanodots (Pd-Au NDs/InO NCBs), which have been synthesized by combined hydrothermal reaction, annealing, and chemical bath deposition. As-prepared Pd-Au NDs/InO NCBs are observed with surface-enriched NDs and nanopores.

Two-dimensional Aluminum Oxide Nanosheets Decorated with Palladium Oxide Nanodots for Highly Stable and Selective Hydrogen Sensing.

Hydrogen (H ) sensing materials such as semiconductor metal oxides may suffer from poor long-term stability against humidity and unsatisfactory selectivity against other interfering gases. To address the above issues, highly stable and selective H sensing built with palladium oxide nanodots decorating aluminum oxide nanosheets (PdO NDs//Al O NSs) has been achieved via combined template synthesis, photochemical deposition, and oxidation. Typically, the PdO NDs//Al O NSs are observed with thin NSs (≈17 nm thick) decorated with nanodots (≈3.

Can fat infiltration in the multifidus muscle be a predictor of postoperative symptoms and complications in patients undergoing lumbar fusion for degenerative lumbar spinal stenosis? A case-control study.

Purpose: This study aimed to explore whether 25% as the cutoff value of fat infiltration (FI) in multifidus (MF) could be a predictor of clinical outcomes of lumbar spinal stenosis (LSS) patients.

Methods: A total of 461 patients undergoing posterior lumbar interbody fusion for LSS with 1-year follow-up were identified. After sex- and age-match, 160 pairs of patients were divided into a FI < 25% group and a FI ≥ 25% group according to FI of MF at L4 on preoperative magnetic resonance imaging.

Three-Dimensional Porous Carbon/Nitrogen Framework-Decorated Palladium Nanoparticles for Stable and Wide-Concentration-Range Hydrogen Sensing.

Hydrogen (H) as a high-energy-density carrier is of great potential in the upcoming hydrogen economy. Nevertheless, H/air mixtures are explosive at H concentrations above 4 v/v % and reliable and wide-concentration-range H sensors are thus highly desired. Here, hydrogen sensing has been developed using palladium nanoparticles of ∼11.

Radial ZnO nanorods decorating CoO nanoparticles for highly selective and sensitive detection of the 3-hydroxy-2-butanone biomarker.

Indirect monitoring of (LM) a gas sensor that can detect the bacterial metabolite 3-hydroxy-2-butanone (3H-2B) is a newly emerged strategy. However, such sensors are required simultaneously endow with outstanding selectivity, high sensitivity, and ppb-level detection limit, which remains technologically challenging. Herein, we have developed highly selective and sensitive 3H-2B sensors that consist of zinc oxide nanorods decorated with cobaltosic oxide nanoparticles (ZnO NRs/CoO NPs), which have been synthesized by combined optimized hydrothermal and annealing process.

Highly sensitive and fast-response hydrogen sensing of WO nanoparticles via palladium reined spillover effect.

Hydrogen sensing simultaneously endowed with fast response, high sensitivity and selectivity is highly desired in detecting hydrogen leakages such as in hydrogen-driven vehicles and space rockets. Here, hydrogen sensing reined via a hydrogen spillover effect has been developed using palladium nanoparticles photochemically decorated on WO nanoparticles (Pd-NPs@WO-NPs). Theoretically, the Pd-NP catalysts and WO-NP support are used to construct the hydrogen spillover system, in which Pd NPs possess high catalytic activity, promoting the electron transfer and therefore the reaction kinetics.

Road Extraction from Unmanned Aerial Vehicle Remote Sensing Images Based on Improved Neural Networks.

Roads are vital components of infrastructure, the extraction of which has become a topic of significant interest in the field of remote sensing. Because deep learning has been a popular method in image processing and information extraction, researchers have paid more attention to extracting road using neural networks. This article proposes the improvement of neural networks to extract roads from Unmanned Aerial Vehicle (UAV) remote sensing images.