Highly electroactive mixed-valence-MoO as an electrochemical sensing for effective detection of p-nitrophenol based on the synergistic effect of valence change and oxygen vacancy.

Transition metal oxides (TMOs) can effectively improve the performance of electrochemical detection due to their unique electronic structure and redox properties. However, the lack of reproducibility and the electrical activity of TMOs prepared from conventional preparation methods limit their further development. In this work, amorphous MoO with reductive Mo(V) was successfully synthesized by one-step electrodeposition, and it has excellent detection performance for p-nitrophenol (PNP).

The microbiome alterations of supragingival plaque among adolescents using clear aligners: a metagenomic sequencing analysis.

Background: White spot lesions (WSLs) may develop in adolescents undergoing clear aligner (CA) therapy with poor oral hygiene. The specific effects of CAs on the microbial composition and functional characteristics of supragingival plaques remain unclear. The present study investigated the shift in the supragingival microbial community induced by CAs in adolescents through metagenomic technology.

Ultra-broadband directional thermal emission.

Directional control of thermal emission over its broad wavelength range is a fundamental challenge. Gradient epsilon-near-zero (ENZ) material supporting Berreman mode has been proposed as a promising approach. However, the bandwidth is still inherently limited due to the availability of ENZ materials covering a broad bandwidth and additional undesired omnidirectional modes in multilayer stacking with increased thickness.

FunlncModel: integrating multi-omic features from upstream and downstream regulatory networks into a machine learning framework to identify functional lncRNAs.

Accumulating evidence indicates that long noncoding RNAs (lncRNAs) play important roles in molecular and cellular biology. Although many algorithms have been developed to reveal their associations with complex diseases by using downstream targets, the upstream (epi)genetic regulatory information has not been sufficiently leveraged to predict the function of lncRNAs in various biological processes. Therefore, we present FunlncModel, a machine learning-based interpretable computational framework, which aims to screen out functional lncRNAs by integrating a large number of (epi)genetic features and functional genomic features from their upstream/downstream multi-omic regulatory networks.

Multifaceted role of nanocomposite hydrogels in diabetic wound healing: enhanced biomedical applications and detailed molecular mechanisms.

The complex microenvironment of diabetic wounds, which is characterized by persistent hyperglycemia, excessive inflammatory responses, and hypoxic conditions, significantly impedes the efficacy of traditional hydrogels. Nanocomposite hydrogels, which combine the high-water content and biocompatibility of hydrogels with the unique functionalities of nanomaterials, offer a promising solution. These hydrogels exhibit enhanced antibacterial, antioxidant, and drug-release properties.

Cardiomyopathy: pathogenesis and therapeutic interventions.

Cardiomyopathy is a group of disease characterized by structural and functional damage to the myocardium. The etiologies of cardiomyopathies are diverse, spanning from genetic mutations impacting fundamental myocardial functions to systemic disorders that result in widespread cardiac damage. Many specific gene mutations cause primary cardiomyopathy.

Assessing long-term water storage dynamics in Afghanistan: An integrated approach using machine learning, hydrological models, and remote sensing.

Assessment of Terrestrial Water Storage (TWS) components is crucial for understanding regional climate and water resources, particularly in arid and semi-arid regions like Afghanistan. Given the scarcity of ground-based data, this study leverages remote sensing datasets to quantify water storage changes. We integrated Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-on (GRACE-FO) data with WaterGap, Global Land Water Storage (GWLS), Catchment Land Surface Model (CLSM), and climate variables (precipitation, temperature, potential evapotranspiration) using artificial neural networks (ANN) and random forests (RF).

Cross-modal integration of bulk RNA-seq and single-cell RNA sequencing data to reveal T-cell exhaustion in colorectal cancer.

Colorectal cancer (CRC) is a relatively common malignancy clinically and the second leading cause of cancer-related deaths. Recent studies have identified T-cell exhaustion as playing a crucial role in the pathogenesis of CRC. A long-standing challenge in the clinical management of CRC is to understand how T cells function during its progression and metastasis, and whether potential therapeutic targets for CRC treatment can be predicted through T cells.

Biocontrol of rusted root rot in Panax ginseng by a combination of extracts from Bacillus amyloliquefaciens YY8 crude protein and Enterobacteriaceae YY115 ethyl acetate.

Background: Rusted root rot is one of the most common root diseases in Panax ginseng, and Cylindrocarpon destructans is one of the main pathogenic fungus. The objective of this study was to screen and explore the extracts of biocontrol bacteria isolated from ginseng rhizosphere soil against Cylindrocarpon destructans.

Results: Bacterial strains Bacillus amyloliquefaciens YY8 and Enterobacteriacea YY115 were isolated and found to exhibit in vitro antifungal activity against C.

The correlation between rapid eye movement sleep behavior disorder and the progress of Parkinson's disease: a systematic review and meta-analysis.

Background: This meta-analysis was conducted to evaluate potential differences in symptoms between PD patients with or without RBD.

Methods: A systematic search was conducted in PubMed, Cochrane, Embase, and Web of Science databases (as of August 16, 2023), to identify relevant studies on PD and RBD. Statistical analysis was performed using Stata 15.

High efficiency Hg(II) electrochemical detection based on the number of defect engineering on MoS: Insight in synergistic action of sulfur vacancies and undercoordinated Mo.

Defects on nanomaterials can effectively enhance the performance of electrochemical detection, but an excessive number of defects may have an adverse effect. In this study, MoS nanosheets were synthesized using a hydrothermal synthesis method. By controlling the calcination temperature, MoS-7H, calcined at 700 °C under H/Ar, exhibited an optimal ratio of "point" defects to "plane" defects, resulting in excellent detection performance for mercury ions (Hg(II)).

Electrospun radially oriented berberine-PHBV nanofiber dressing patches for accelerating diabetic wound healing.

A dressing patch made of radially oriented poly(3-hydroxybutyrate-co-3-hydroxyvalerate) (PHBV) nanofibers was successfully manufactured with a modified electrospinning strategy. The as-electrospun PHBV radially oriented nanofiber dressing patch exhibited uniform and bead-free nanofibrous morphology and innovative radially oriented arrangement, which was demonstrated to possess obviously improved mechanical property, increased surface hydrophilicity and enhanced biological properties compared to the PHBV nanofiber dressing patch control with traditionally randomly oriented pattern. Interestingly, it was found that the radially oriented pattern could induce the cell migration from the periphery to the center along the radially oriented nanofibers in a rapid manner.

Stability mechanism of Monascus pigment-soy protein isolate-maltodextrin complex.

Background: Monascus pigment (MP) is a natural food coloring with vital physiological functions but prone to degradation and color fading under light conditions.

Results: This study investigated the effect of complex formation of soybean protein isolate (SPI), maltodextrin (MD), and MP on the photostability of MP. Light stability was assessed through retention rate and color difference.