High linc01116 expression may contribute to a poor prognosis in various cancers based on systematic reviews and meta-analyses.

Background: Long non-coding RNA 01116 (linc01116) has been shown to be dysregulated in many tumors, and is closely related to the prognosis. This meta-analysis aimed to examine the correlation between linc01116 expression and cancer prognosis.

Methods: Six electronic databases were searched, and eligible studies were screened based on the inclusion and exclusion criteria.

Development of QuEChERS based on the Z-Sep+and DLLME method for analysis of PBDEs in chicken eggs by GC-MS/MS.

A sensitive, straightforward, and environmentally sustainable method was developed and validated for the quantification of 13 PBDEs in chicken eggs using gas chromatography coupled with triple quadrupole mass spectrometry (GC-MS/MS). The QuEChERS approach, combined with dispersive liquid-liquid microextraction (DLLME), was applied for sample preparation. Egg samples were extracted with acetonitrile and purified using Z-Sep + adsorbent.

Clustering explanation based on multi-hyperrectangle.

Clustering plays a crucial role in data mining and pattern recognition, but the interpretation of clustering results is often challenging. Existing interpretation methods usually lack an intuitive and accurate description of irregular shapes and high dimensional datas. This paper proposes a novel clustering explanation method based on a Multi-HyperRectangle(MHR), for extracting post hoc explanations of clustering results.

GD-Net: An Integrated Multimodal Information Model Based on Deep Learning for Cancer Outcome Prediction and Informative Feature Selection.

Multimodal information provides valuable resources for cancer prognosis and survival prediction. However, the computational integration of this heterogeneous data information poses significant challenges due to the complex interactions between molecules from different biological modalities and the limited sample size. Here, we introduce GD-Net, a Graph Deep learning algorithm to enhance the accuracy of survival prediction with an average accuracy of 72% by early fusing of multimodal information, which includes an interpretable and lightweight XGBoost module to efficiently extract informative features.

Exploring structured molecular landscape from single-cell multi-omics data by an explainable multimodal model.

There is an urgent need to understand the molecular landscape beyond the conventional cellular landscape, maximizing the translational use and generalized interpretation of state-of-the-art single-cell genomic techniques in biological studies. We introduced a multimodal explainable artificial intelligence (xAI) model Vec3D to identify a joint definition of cellular states and their distribution in a quantified graphic organization as structured molecular landscape (SML). First, Vec3D substantially improves the accuracy and efficiency of multimodal data analysis.

PPARβ/δ agonist GW0742 mitigates acute liver damage induced by acetaminophen overdose in mice.

Liver damage caused by acetaminophen (APAP) overdose remains a worldwide medical problem. New therapeutic medicines for APAP poisoning are needed as the efficacy of the only antidote, N-acetyl-cysteine (NAC), significantly decreases if administered after 8 h of APAP intake and massive APAP overdose remains to induce hepatotoxicity despite the timely administration of NAC. Peroxisome proliferator-activated receptor β/δ (PPARβ/δ) possesses versatile roles including regulation of lipid homeostasis and anti-inflammation in the liver.

The crucial involvement of gamma-Mangostin and CYP1B1 in the mechanism underlying the toxicity caused by cigarette smoke extract: In silico and in vitro insights.

Cigarette smoke extracts (CSE) contain harmful substances that significantly contribute to respiratory conditions. Previous studies have primarily focused on the presence of carcinogens in CSE. However, it should be noted that other compounds may also synergistically contribute to a greater impact.

A Novel Adaptive Sand Cat Swarm Optimization Algorithm for Feature Selection and Global Optimization.

Feature selection (FS) constitutes a critical stage within the realms of machine learning and data mining, with the objective of eliminating irrelevant features while guaranteeing model accuracy. Nevertheless, in datasets featuring a multitude of features, choosing the optimal feature poses a significant challenge. This study presents an enhanced Sand Cat Swarm Optimization algorithm (MSCSO) to improve the feature selection process, augmenting the algorithm's global search capacity and convergence rate via multiple innovative strategies.

Autophagy in cholangiocarcinoma: a comprehensive review about roles and regulatory mechanisms.

The role of autophagy in cholangiocarcinogenesis and its development is intricate. Autophagy has a dual role in cholangiocarcinoma, and understanding the function and mechanism of autophagy in cholangiocarcinoma is pivotal in guiding therapeutic approaches to its treatment in clinical settings. Recent studies have revealed that autophagy is involved in the complex biological behavior of cholangiocarcinoma.

Water-in-oil-in-water (W/O/W) emulsions with antioxidant and bacteriostatic capabilities: A preliminary exploration of food preservation films.

The development of stable water-in-oil-in-water (W/O/W) emulsions for edible preservation coatings and films, utilizing their properties, deserves scientific attention. In this study, oregano essential oil and D‑sodium erythorbate were simultaneously loaded into W/O/W emulsions, and the homogenization conditions of the W/O/W emulsions were optimized. The structure and interactions of gum Arabic (GA) and whey protein isolate (WPI) as the outer phase were analyzed.

ICOS-expressing CAR-T cells mediate durable eradication of triple-negative breast cancer and metastasis.

Background: The failure of conventional therapies and the propensity for recurrence and metastasis make triple-negative breast cancer (TNBC) a formidable challenge with grim prognoses and diminished survival rates. Immunotherapy, including immune checkpoint blockade and chimeric antigen receptor (CAR)-T cell therapy, presents innovative and potentially more effective strategies for addressing TNBC. Within this context, the inducible costimulator (ICOS), a member of the CTLA4/CD28 family, plays a crucial role in regulating immune responses and T-cell differentiation by binding to its ligand ICOSL.

Identification of SNPs and INDELS associated with duck egg quality traits through a genome-wide association analysis.

Egg quality traits are economically important in the poultry industry. To explore the genetic architecture and identify potential candidate genes, a genome-wide association study (GWAS) was performed for 13 egg quality traits using data from whole-genome sequencing of 299 Longyan Shan-ma female ducks, including 12 quantitative traits and one qualitative trait, eggshell color (ESC; white, light green, green). From estimation of pedigree genetic parameters, heritability (h) ranged from 0.

eMCI: An Explainable Multimodal Correlation Integration Model for Unveiling Spatial Transcriptomics and Intercellular Signaling.

Current integration methods for single-cell RNA sequencing (scRNA-seq) data and spatial transcriptomics (ST) data are typically designed for specific tasks, such as deconvolution of cell types or spatial distribution prediction of RNA transcripts. These methods usually only offer a partial analysis of ST data, neglecting the complex relationship between spatial expression patterns underlying cell-type specificity and intercellular cross-talk. Here, we present eMCI, an explainable multimodal correlation integration model based on deep neural network framework.

Customized Preparation of Heat-Resistant Fully Flexible Sensors Based on Coaxial 3D Printing.

The conventional behavior recognition strategy for wearable sensors used in high-temperature environments typically requires an external power supply, and the manufacturing process is cumbersome. Herein, we present a rational design strategy based on fully flexible printable materials and a customized device-manufacturing process for skin-conformable triboelectric nanogenerator sensors. In detail, using high temperature-resistant ink and 3D printing technology to manufacture a coaxial triboelectric nanogenerator (C-TENG) sensor, the C-TENG exhibits high stretchability (>400%), a wide working range (>250 °C), and high output voltage (>100 V).

Deciphering the driving factors and probabilistic health risks of potentially toxic elements in arid surface water: Insights from the Tarim River Basin.

Potentially toxic elements (PTEs) in surface water in arid areas pose a serious threat to environmental safety and human health within a basin. It is important to determine the factors controlling PTEs and to assess the likelihood that they will pose a risk to human health in order to support the development of environmental protection and risk management strategies. In this study, a structural equation model and Bayesian method were combined to discuss the distribution and probabilistic health risks of PTEs in surface water in arid area, and the Tarim River Basin was taken as a case study.

Unraveling the Fundamentals of Axial Coordination FeN Sites Regulating the Peroxymonosulfate Activation for Fenton-Like Activity.

Precise modulation of the axial coordination microenvironment in single-atom catalysts (SACs) to enhance peroxymonosulfate (PMS) activation represents a promising yet underexplored approach. This study introduces a pyrolysis-free strategy to fabricate SACs with well-defined axial-FeN coordination structures. By incorporating additional out-of-plane axial nitrogen into well-defined FeN active sites within a planar, fully conjugated polyphthalocyanine framework, FeN configurations are developed that significantly enhance PMS activation.

Hydroxyl Defects-Mediated Hydrolytic Activation of Peroxydisulfate Under Nanoconfinement: Role of Lewis Basic Sites for Altering the Photosensitized Species and Pathways.

Herein, the pivotal mechanism of defect engineering-mediated triazine-based conjugated polymers (TCPs) is comprehensively elucidated for photosensitized activation of peroxydisulfate (PDS) under nanoconfinement by encapsulating the defective polymer framework into the nanochannel of SBA-15 (d-TCPs@SBA-15). The incorporated hydroxyl defects (-OH defects) substantially accelerate the accumulation of electrons at -OH defects, forming the Lewis basic sites. Due to the facilitated elongation of the S─O bond and reduced energy barrier of SO* generation, the captured PDS undergo prehydrolysis process, oxidized into O and O by surrounding h, thereby setting apart from the conventional reductive activation of SO /•OH generation occurred in pristine TCPs (p-TCPs).

Our experience with a modified prying-up technique for closed reduction of irreducible supracondylar humeral fractures.

Satisfactory reduction of some displaced pediatric supracondylar humerus fractures is not achievable via closed reduction, thus necessitating open procedure, which increases the incidence of complications. Using percutaneous prying-up technique to assist closed reduction may reduce the requirement for transform to an open operation. We retrospectively reviewed displaced pediatric supracondylar humerus fractures treated by the same surgeon from September 2021 to January 2024,with 134 subjects meeting criteria for inclusion.

Unraveling the gut microbiota of Tibetan chickens: insights into highland adaptation and ecological advantages.

Unlabelled: Tibetan animals have several unique advantages owing to the harsh ecological conditions under which they live. However, compared to Tibetan mammals, understanding of the advantages and underlying mechanisms of the representative high-latitude bird, the Tibetan chicken (, TC), remains limited. The gut microbiota of animals has been conclusively shown to be closely related to both host health and host environmental adaptation.

GRNMOPT: Inference of gene regulatory networks based on a multi-objective optimization approach.

Background And Objective: The reconstruction of gene regulatory networks (GRNs) stands as a vital approach in deciphering complex biological processes. The application of nonlinear ordinary differential equations (ODEs) models has demonstrated considerable efficacy in predicting GRNs. Notably, the decay rate and time delay are pivotal in authentic gene regulation, yet their systematic determination in ODEs models remains underexplored.