Identification of early prognostic biomarkers in Severe Fever with Thrombocytopenia Syndrome using machine learning algorithms.

Objective: We aimed at identifying acute phase biomarkers in Severe Fever with Thrombocytopenia Syndrome (SFTS), and to establish a model to predict mortality outcomes.

Methods: A retrospective analysis was conducted on multicenter clinical data. Group-based trajectory modeling (GBTM) was utilized to demonstrate the overall trend of laboratory indicators and their correlation with mortality.

Light-Enabled Reversible Hydrogen Storage of Borohydrides Activated by Photogenerated Vacancies.

Borohydrides, known for ultrahigh hydrogen density, are promising hydrogen storage materials but typically require high operating temperatures due to their strong thermodynamic stability. Here we introduce a novel light-induced destabilization mechanism for hydrogen storage reaction of borohydrides under ambient conditions photogenerated vacancies in LiH. These vacancies thermodynamically destabilize B-H bonds through the spontaneous "strong adsorption" of BH groups, which trigger an asymmetric redistribution of electrons, enabling hydrogen release at near room temperature, approximately 300 °C lower than the corresponding thermal process.

Role of TGF-β1/Smad3 signalling pathway in renal tubulointerstitial fibrosis and renal damage in elderly rats with isolated systolic hypertension induced by increased pulse pressure.

Objective: Elevated systolic blood pressure and increased pulse pressure are closely associated with renal damage; however, the exact mechanism remains unclear. Therefore, we investigated the effects of increased pulse pressure on tubulointerstitial fibrosis and renal damage in elderly rats with isolated systolic hypertension (ISH). Additionally, the role of renal tubular epithelial-mesenchymal transition (EMT) and its upstream signalling pathways were elucidated.

An Amorphous Donor-Acceptor Conjugated Polymer with Both High Charge Carrier Mobility and Luminescence Quantum Efficiency.

Organic semiconducting polymers play a pivotal role in the development of field-effect transistors (OFETs) and organic light-emitting diodes (OLEDs), owing to their cost-effectiveness, structural versatility, and solution processability. However, achieving polymers with both high charge carrier mobility (μ) and photoluminescence (PL) quantum yield (Φ) remains a challenge. In this work, we present the design and synthesis of a novel donor-acceptor π-conjugated polymer, TTIF-BT, featuring a di-Thioeno[3,2-b] ThioenoIndeno[1,2-b] Fluorene (TTIF) backbone as the donor component.

Selection of Representative Asphaltene Molecules in an Asphalt Molecular Model Based on Quantum Chemistry and Statistical Analysis.

Asphaltenes, as the most complex and strongly polar component among the four components of asphalt, have a significant impact on the macroscopic physicochemical properties of asphalt. Currently, the vast variety of molecular structures used to characterize asphaltenes increases the construction complexity of asphalt molecular models. To construct a more realistic asphalt molecular model and reduce the construction difficulty, this investigation obtains the molecular morphology, molecular polarity, and infrared spectrum indicators of 21 asphaltene molecules through quantum chemical calculations.

Genetic Mapping by 55K Single-Nucleotide Polymorphism Array Reveals Candidate Genes for Tillering Trait in Wheat Mutant .

Background: The tiller number is a key agronomic trait for increasing the yield potential of wheat ( L.). A number of quantitative trait loci (QTLs) and key genes controlling tillering have been identified, but the regulatory mechanisms remain unclear.

Glecirasib in KRAS-mutated nonsmall-cell lung cancer: a phase 2b trial.

Glecirasib (JAB-21822) is a new covalent oral KRAS-G12C inhibitor. This multicenter, single-arm phase 2b study assessed the efficacy and safety of glecirasib administered orally at 800 mg daily in patients with locally advanced or metastatic KRAS-mutated nonsmall-cell lung cancer. The primary endpoint was the objective response rate (ORR) assessed by an independent review committee (IRC).

Observation of quantum strong Mpemba effect.

An ancient and counterintuitive phenomenon known as the Mpemba effect (water can cool faster when initially heated up) showcases the critical role of initial conditions in relaxation processes. How to realize and utilize this effect for speeding up relaxation is an important but challenging task in purely quantum system till now. Here, we experimentally study the strong Mpemba effect in a single trapped ion system in which an exponentially accelerated relaxation in time is observed by preparing an optimal quantum initial state with no excitation of the slowest decaying mode.

Correlation analysis of the triglyceride-glucose index and related parameters in metabolic dysfunction-associated fatty liver disease.

This study aimed to investigate the correlation and predictive value of TyG and related parameters with metabolic dysfunction-associated fatty liver disease (MAFLD) MAFLD. This study retrospectively included individuals who underwent health examinations and abdominal ultrasound from July 2021 to June 2024 at the Affiliated Hospital of Southwest Medical University, Sichuan Province, China. A total of 71,299 subjects' clinical and laboratory data were extracted, the correlation between TyG and related parameters and MAFLD was analyzed via univariate and multivariate logistic regression methods, and the nonlinear relationship between the TyG index and the risk of MAFLD was explored via restricted cubic spline (RCS) analysis.

Corrigendum to 'YAP maintains cartilage stem/progenitor cell homeostasis in osteoarthritis'[Journal of Orthopaedic Translation 46 (2024) 79-90].

[This corrects the article DOI: 10.1016/j.jot.

Customer churn prediction model based on hybrid neural networks.

In today's competitive market environment, accurately identifying potential churn customers and taking effective retention measures are crucial for improving customer retention and ensuring the sustainable development of an organization. However, traditional machine learning algorithms and single deep learning models have limitations in extracting complex nonlinear and time-series features, resulting in unsatisfactory prediction results. To address this problem, this study proposes a hybrid neural network-based customer churn prediction model, CCP-Net.

Enhance the Surface Insulation Properties of EP Materials via Plasma and Fluorine-Containing Coupling Agent Co-Fluorinated Graphene.

Epoxy resin (EP) is an outstanding polymer material known for its low cost, ease of preparation, excellent electrical insulation properties, mechanical strength, and chemical stability. It is widely used in high- and ultra-high-voltage power transmission and transformation equipment. However, as voltage levels continue to increase, EP materials are gradually failing to meet the performance demands of operational environments.

[Two new α-carbonylamides from Corydalis Rhizoma].

Corydalis Rhizoma is a commonly used traditional Chinese medicine(TCM) for regulating Qi and relieving pain in clinical practice, with remarkable efficacy. However, its pharmacodynamic substances are not yet fully understood and require further research. In this study, 24 compounds were isolated and identified from the aqueous extracts of vinegar-processed Corydalis Rhizoma using techniques such as macroporous adsorption resin column chromatography, Sephadex LH-20 column chromatography, and semi-preparative high-performance liquid chromatography.

Improved Antitumor Efficiency of -Tetradecyloxycarbonyl Gemcitabine-Loaded Liposomes for Pancreatic Cancer Chemotherapy.

Background: Gemcitabine (Gem) is one of the first-line chemotherapy drugs for pancreatic cancer treatment. However, its short half-life in plasma and adverse effects limited its broader application.

Methods: A novel Gem derivative ( -tetradecyloxycarbonyl gemcitabine, tcGem) was synthesized and encapsulated into liposomes (LipotcGem) to overcome the above shortcomings.

The impact of BTK knockdown on lung adenocarcinoma growth and immune response.

This study explores the molecular role of the BTK gene in lung adenocarcinoma (LUAD) progression and patient prognosis. Using a radiomics model based on BTK expression and PET-CT data analyzed through DeeplabV3, alongside transcriptomic and clinical data from TCGA, we established a strong predictive relationship between BTK levels and LUAD outcomes. Our findings demonstrate that low BTK expression is linked to poorer prognoses.

Improving Targeted Delivery and Antitumor Efficacy of TRAIL through Fusion with a B7H3-Antagonistic Affibody.

Tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) is an attractive candidate for anticancer therapeutics due to its efficient pro-apoptotic activity against tumor cells and its well-tolerated safety profile. However, the in vivo antitumor efficacy of TRAIL is often limited by its poor tumor targeting capacity. Nowadays, the B7 homologue 3 (B7-H3) immune checkpoint has emerged as a promising target for tumor immunotherapy and drug delivery.

TaGPAT6 enhances salt tolerance in wheat by synthesizing cutin and suberin monomers to form a diffusion barrier.

One mechanism plants use to tolerate high salinity is the deposition of cutin and suberin to form apoplastic barriers that limit the influx of ions. However, the mechanism underlying barrier formation under salt stress is unclear. Here, we characterized the glycerol-3-phosphate acyltransferase (GPAT) family gene TaGPAT6, encoding a protein involved in cutin and suberin biosynthesis for apoplastic barrier formation in wheat (Triticum aestivum).

Targeting the NOTCH2/ADAM10/TCF7L2 Axis-Mediated Transcriptional Regulation of Wnt Pathway Suppresses Tumor Growth and Enhances Chemosensitivity in Colorectal Cancer.

Wnt/β-catenin/transcription factor (TCF) transcriptional activity plays an integral role in colorectal cancer (CRC) carcinogenesis. However, to date, no drugs targeting this pathway are used in clinical practice owing to the undesirable and serious side effects. In this study, it is found that the transcriptional regulation of Wnt pathway is activated and associated with liver metastasis in CRC.

The Detection and Analysis of Microplastics in a Typical Mountainous Drinking Water System in China.

Microplastics (MPs) are widely detected in urban drinking water systems. However, the presence and characteristics of MPs in mountainous drinking water systems with independent and simple filtration facilities have been overlooked. In this study, we revealed the ubiquity of MPs and demonstrated that their concentrations increased along with the pipeline length in Bainitan Village, Tiantai County, China.

Enhancing catalytic efficiency of GAO-5F from Fusarium odoratissimum and its application in development of a polyaldehyde crosslinked gelatin-based edible packaging film.

Galactose oxidase has long captured the interest of the biocatalysis and biotechnology communities due to its unique catalytic characteristics and versatility with various substrates. In our previous studies, we demonstrated that galactose oxidase GAO-5F from Fusarium odoratissimum can oxidize agarose to produce a polyaldehyde polymer, which can be further crosslinked with gelatin to produce food packaging films. Despite its commendable catalytic performance, GAO-5F falls short of meeting the requirements for industrial applications.

Salvianolic acid B alleviated myocardial ischemia-reperfusion injury via modulating SIRT3-mediated crosstalk between mitochondrial ROS and NLRP3.

Background: Mitochondrial ROS (mtROS) accumulation and NLRP3 inflammasome activation are critical in the pathogenesis of myocardial ischemia-reperfusion injury (MIRI). However, their upstream regulatory mechanisms and interaction remain inadequately understood.

Purpose: The study aims to investigate the therapeutic effect of Salvianolic acid B (Sal B) on MIRI and elucidate its potential molecular mechanism, mainly focusing on the role of SIRT3.

Enhancing detection of SSVEP-based BCIs via a novel temporally local canonical correlation analysis.

Background: In recent years, spatial filter-based frequency recognition methods have become popular in steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) systems. However, these methods are ineffective in suppressing local noise, and they rely on the length of the data. In practical applications, enhancing recognition performance with short data windows is a significant challenge for the BCI systems.