Development of dual polymerase spiral reaction for detection of Listeria monocytogenes and Staphylococcus aureus simultaneously.

Listeria monocytogenes and Staphylococcus aureus are prevalent foodborne pathogens responsible for poisoning humans with food. The present study was devoted to the establishment of a method based on dual polymerase spiral reaction (dual-PSR) and melting curve analysis for concurrent identification L. monocytogenes and S.

Unipolar Barrier Photodetectors Based on Van Der Waals Heterostructure with Ultra-High Light On/Off Ratio and Fast Speed.

Unipolar barrier architecture is designed to enhance the photodetector's sensitivity by inducing highly asymmetrical barriers, a higher barrier for blocking majority carriers to depressing dark current, and a low minority carrier barrier without impeding the photocurrent flow through the channel. Depressed dark current without block photocurrent is highly desired for uncooled Long-wave infrared (LWIR) photodetection, which can enhance the sensitivity of the photodetector. Here, an excellent unipolar barrier photodetector based on multi-layer (ML) graphene (G) is developed, WSe, and PtSe (G-WSe-PtSe) van der Waals (vdW) heterostructure, in which extremely low dark current of 1.

Metabolomic and microbiota profiles in cervicovaginal lavage fluid of women with high-risk human papillomavirus infection.

The presence of high-risk human papillomavirus (HR-HPV) contributes to the development of cervical lesions and cervical cancer. Recent studies suggest that an imbalance in the cervicovaginal microbiota might be a factor in the persistence of HR-HPV infections. In this study, we collected 156 cervicovaginal fluid (CVF) of women with HR-HPV infection, which were divided into three groups (negative for intraepithelial lesions = 78, low/high-grade squamous intraepithelial lesions = 52/26).

Soft grid integration control strategy for self synchronized voltage source DFIG wind turbine generator.

Transitioning to a power system heavily reliant on renewable wind energy involves more than just replacing conventional fossil-fuel-based power plant with wind farms, the wind energy must be able to meet the requirement of voltage establishment and power balance. It is believed that the self synchronized voltage source control of DFIG wind turbine generator is one of the possible solutions to realize virtual inertia and is helpful to increase the frequency stability of power system, thus is meaningful in the transformation of the power system dominated by renewable energy. Plenty of research has been conducted on the self synchronized voltage source control strategy in steady state, but few research is focused on the soft grid integration, which is a complicated process involving wind turbine control and power converter control.

Application of biomass carbon dots in food packaging.

Since its discovery, carbon quantum dots (CDs) have been widely applied in cell imaging, drug delivery, biosensing, and photocatalysis due to their excellent water solubility, chemical stability, fluorescence stability biocompatibility, low toxicity, and preparation cost. However, the low fluorescence yield and poor surface structure limit the application of CDs. Heteroatom doping is considered an ideal method to improve CDs' optical and electrical properties.

Unifying topological structure and self-attention mechanism for node classification in directed networks.

Graph data is essential for modeling complex relationships among entities. Graph Neural Networks (GNNs) have demonstrated effectiveness in processing low-order undirected graph data; however, in complex directed graphs, relationships between nodes extend beyond first-order connections and encompass higher-order relationships. Additionally, the asymmetry introduced by edge directionality further complicates node interactions, presenting greater challenges for extracting node information.

SENP3 inhibition suppresses hepatocellular carcinoma progression and improves the efficacy of anti-PD-1 immunotherapy.

The importance of SUMOylation in tumorigenesis has received increasing attention, and research on therapeutic agents targeting this pathway has progressed. However, the potential function of SUMOylation during hepatocellular carcinoma (HCC) progression and the underlying molecular mechanisms remain unclear. Here, we identified that SUMO-Specific Peptidase 3 (SENP3) was upregulated in HCC tissues and correlated with a poor prognosis.

CXCL8 modulates M0 macrophage proliferation and polarization to influence tumor progression in cervical cancer.

Cervical cancer (CESC) presents significant clinical challenges due to its complex tumor microenvironment (TME) and varied treatment responses. This study identified undifferentiated M0 macrophages as high-risk immune cells critically involved in CESC progression. Co-culture experiments further demonstrated that M0 macrophages significantly promoted HeLa cell proliferation, migration, and invasion, underscoring their pivotal role in modulating tumor cell behavior within the TME.

Two-dimensional cell membrane chromatography guided screening of myocardial protective compounds from Yindan Xinnaotong soft capsule.

Background: Cell membrane chromatography (CMC) is a biochromatography with a dual function of recognition and separation, offering a distinct advantage in screening bioactive compounds from Chinese medicines (CMs). Yindan Xinnaotong soft capsule (YD), a CM formulation, has been widely utilized in the treatment of cardiovascular disease. However, a comprehensive mapping of the myocardial protective active compounds remains elusive.

Covalently crosslinked carboxymethyl chitosan beads containing SiO and ionic polymer for efficient adsorptive removal of methylene blue.

The carboxymethyl chitosan (CMCS)-based porous beads are still criticized for their limited number of binding sites, which impairs their efficacy in removing aqueous pollutants. To overcome this challenge, this work introduces the production of covalently crosslinked CMCS-based beads containing SiO and poly(2-acrylamido-2-methylpropanesulfonic acid) (PAMPS). The porous composite beads not only possess remarkable stability under acidic conditions, but also have abundant active binding sites for adsorption.

Decoding the difference of four species of Cordyceps based on polysaccharides and immunomodulation activity.

Nucleosides and polysaccharides are the main bioactive ingredients of Cordyceps genus. Nucleosides shows significant differences in different Cordyceps species. However, the differences of polysaccharides have not been decoded.

Local structural-functional coupling with counterfactual explanations for epilepsy prediction.

The structural-functional brain connections coupling (SC-FC coupling) describes the relationship between white matter structural connections and the corresponding functional activation or functional connections. It has been widely used to identify brain disorders. However, the existing research on SC-FC coupling focuses on global and regional scales, and few studies have investigated the impact of brain disorders on this relationship from the perspective of multi-brain region cooperation (i.

The mechanisms of thermal processing techniques on modifying structural, functional and flour-processing properties of whole-grain highland barley.

The mechanisms underlying three thermal processing methods, namely hot-air drying, microwave irradiation, and heat fluidization, were systematically investigated to evaluate their effects on the structural, functional, and flour-processing properties of whole-grain highland barley. Starch granules were partially damaged when treated with hot-air drying and microwave irradiation. However, these granules were predominantly aggregated or encapsulated in proteins following heat fluidization.

Effects of in vitro simulated digestion on the hypoglycaemic capacity of wheat bran-soluble dietary fibre.

Wheat bran-soluble dietary fibre (WB-SDF) is known for its hypoglycaemic properties and its potential to control postprandial blood glucose levels in individuals with hyperglycaemia. However, the digestive process may alter its glucose-lowering potential. This study investigated the effects of in vitro simulated digestion on the hypoglycaemic efficacy of WB-SDF.

Effective prediction of organosilicon molecular structures and risks in aquatic environment with machine learning.

Until now, mass spectrometry databases lack molecular information of most organosilicon oligomers, and risk models needing accurate molecular descriptors are unavailable for these emerging contaminants with thousands of monomers. To address this issue, based on molecular/fragment ions and relative abundance from GC-Orbitrap-MS, this study developed appropriate classification (accuracies = 0.750-0.

Recent advances in nanoarchitectonics of two-dimensional nanomaterials for dental biosensing and drug delivery.

Two-dimensional (2D) nanoarchitectonics involve the creation of functional material assemblies and structures at the nanoscopic level by combining and organizing nanoscale components through various strategies, such as chemical and physical reforming, atomic and molecular manipulation, and self-assembly. Significant advancements have been made in the field, with the goal of producing functional materials from these nanoscale components. 2D nanomaterials, in particular, have gained substantial attention due to their large surface areas which are ideal for numerous surface-active applications.

Multi-functional electrochemiluminescence biosensor for efficient capture, elimination, and sensitive monitoring of Staphylococcus aureus.

In this study, we developed a novel strategy for effective bacteria capture, elimination, and detection. The aptamer of Staphylococcus aureus (S. aureus) was immobilized on FeO NPs and partly hybridized with the T strand, which exhibited good bacterial capture efficiency.

CS-QCFS: Bridging the performance gap in ultra-low latency spiking neural networks.

Spiking Neural Networks (SNNs) are at the forefront of computational neuroscience, emulating the nuanced dynamics of biological systems. In the realm of SNN training methods, the conversion from ANNs to SNNs has generated significant interest due to its potential for creating energy-efficient and biologically plausible models. However, existing conversion methods often require long time-steps to ensure that the converted SNNs achieve performance comparable to the original ANNs.

Acetochlor degradation in anaerobic microcosms with hyporheic sediments: Insights from biogeochemical data, transformation products, and isotope analysis.

Steep redox gradients and diverse microbial communities in the anaerobic hyporheic zone create complex pathways for the degradation of herbicides, often linked to various terminal electron-accepting processes (TEAPs). Identifying the degradation pathways and their controlling factors under various TEAPs is of great significance for understanding mechanisms of water purification in the hyporheic zone. However, current research on herbicides in this area remains insufficient.

Magnetic nanoparticle modified moss Biochar: A novel solution for effective removal of enrofloxacin from aquaculture water.

The presence of residual antibiotics in water constitutes a potential threat to aquatic environments. Therefore, designing environmentally friendly and efficient biochar adsorbents is crucial. Aquaculture by-product moss (bryophyte) was transformed into biochar, which can eliminate antibiotics from wastewater through adsorption.

Co-application of hydrothermal carbonization aqueous phase and biogas slurry reduced ammonia volatilization in paddy.

Application of biogas slurry (BS) can promote ammonia (NH) volatilization. Algae sludge and Quercus acutissima leaves are rich in resources and nutrients, and can be effectively converted into valuable products. Hydrothermal carbonization technology (HTC) is a sustainable method for the treatment of wet biomass.

The link between eye movements and cognitive function in mild to moderate Alzheimer's disease.

This study investigated the relationship between eye movement parameters and cognitive function in patients with mild to moderate Alzheimer's disease (AD). A total of 80 patients with AD (mild and moderate) and 34 normal controls (NC) participated. Neuropsychological assessments were conducted using the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA), while eye movements were recorded using eye-tracking technology.

Genetic Causal Association Between Skin Microbiota and Biological Aging: Evidence From a Mendelian Randomization Analysis.

Background: The skin microbiota, a complex community of microorganisms residing on the skin, plays a crucial role in maintaining skin health and overall homeostasis. Recent research has suggested that alterations in the composition and function of the skin microbiota may influence the aging process. However, the causal relationships between specific skin microbiota and biological aging remain unclear.

The present and future of digital health, digital medicine, and digital therapeutics for allergic diseases.

Background: Digital health, digital medicine, and digital therapeutics integrate advanced computer technologies into healthcare, aiming to improve efficiency and patient outcomes. These technologies offer innovative solutions for the management of allergic diseases, which affect a significant proportion of the global population and are increasing in prevalence. BODY: This review examines the current progress and future potential of digital health in allergic disease management.

A machine learning-based model to predict POD24 in follicular lymphoma: a study by the Chinese workshop on follicular lymphoma.

Background: Disease progression within 24 months (POD24) significantly impacts overall survival (OS) in patients with follicular lymphoma (FL). This study aimed to develop a robust predictive model, FLIPI-C, using a machine learning approach to identify FL patients at high risk of POD24.

Methods: A cohort of 1,938 FL patients (FL1-3a) from seventeen centers nationwide in China was randomly divided into training and internal validation sets (2:1 ratio).