Survival analysis of clear cell renal cell carcinoma based on radiomics and deep learning features from CT images.

Purpose: To create a nomogram for accurate prognosis of patients with clear cell renal cell carcinoma (ccRCC) based on computed tomography images.

Methods: Eight hundred twenty-two ccRCC patients with contrast-enhanced computed tomography images involved in this study were collected. A rectangular region of interest surrounding the tumor was used to extract quantitative radiomics and deep-learning features, which were filtered by Cox proportional hazard regression model and least absolute shrinkage and selection operator.

Methane production related to microbiota in dairy cattle feces.

Methane (CH) emission from livestock feces, led by ruminants, shows a profound impact on global warming. Despite this, we have almost no information on the syntrophy of the intact microbiome metabolisms, from carbohydrates to the one-carbon units, covering multiple stages of ruminant development. In this study, syntrophic effects of polysaccharide degradation and acetate-producing bacteria, and methanogenic archaea were revealed through metagenome-assembled genomes from water saturated dairy cattle feces.

Generating 3D brain tumor regions in MRI using vector-quantization Generative Adversarial Networks.

Medical image analysis has significantly benefited from advancements in deep learning, particularly in the application of Generative Adversarial Networks (GANs) for generating realistic and diverse images that can augment training datasets. The common GAN-based approach is to generate entire image volumes, rather than the region of interest (ROI). Research on deep learning-based brain tumor classification using MRI has shown that it is easier to classify the tumor ROIs compared to the entire image volumes.

Analysis of automatic fetal intracranial volume (ICV) measurement based on the optimized ultrasound Smart ICV method at 16-34 weeks of gestation.

Background: Fetal intracranial volume (ICV) can help evaluate the development of the prenatal central nervous system (CNS) from the three-dimensional (3D) attributes of the cranial structure. Accurate and rapid segmentation and calculation of the ICV are clinically significant. Virtual organ computer-aided analysis (VOCAL) is a commonly used method for measuring fetal ICV.

Microbiota-induced asymmetry in coastal methane emission potential under experimental precipitation gradients.

Climate models predict that the frequency and intensity of extreme precipitation events will increase globally. Despite carbon budget in coastal wetlands is known to be sensitive to precipitation variability, in where CH productions and potential mechanisms remain poorly understood. We investigated CH emission potential and its drivers after 7-year of field experiments with five precipitation gradients (-60%, -40%, ambient condition, +40%, +60%) in Yellow River Delta, China.

Secular Trends in the Median Age at Menarche and Spermarche Among Chinese Children From 2000 to 2019 and Analysis of Physical Examination Indicators Factor.

Objectives: This research aimed to understand the long-term trends in the age of menarche among girls and spermarche among boys, and to analyze the factors that may influence the onset of menarche and first spermarche.

Methods: The study was based on data from 49 566 students in Henan Province collected from the Chinese National Surveys on Students' Constitution and Health (CNSSCH) conducted between 2000 and 2019. Median age at menarche and spermarche was estimated by probit analysis.

Wi-Fi sensing gesture control algorithm based on semi-supervised generative adversarial network.

A Wi-Fi-sensing gesture control system for smart homes has been developed based on a theoretical investigation of the Fresnel region sensing model, addressing the need for non-contact gesture control in household environments. The system collects channel state information (CSI) related to gestures from Wi-Fi signals transmitted and received by network cards within a specific area. The collected data undergoes preprocessing to eliminate environmental interference, allowing for the extraction of complete gesture sets.

Effects of Fermented Pomegranate Peel Polyphenols on the Growth Performance, Immune Response, Hepatopancreatic Health, and Disease Resistance in White Shrimp ().

This study evaluated the growth performance, immune response, hepatopancreatic health, and disease resistance in fed diets supplemented with fermented pomegranate peel polyphenols (FPPP) for 45 days. Five diets were formulated to contain various levels of FPPP: FP0 (no FPPP), FPPP inclusion at 0.015% (FP1), 0.

Automatic detection and counting of wheat spike based on DMseg-Count.

The automatic detection and counting of wheat spike images are of great significance for yield prediction and variety evaluation. Therefore, accurate and timely estimation of spike numbers is crucial for wheat production. However, in actual production, due to the susceptibility of wheat spike images to factors such as lighting conditions, shooting angles, occlusion, and overlap, the contour and features of wheat spike is unclear, which affects the accuracy of automatic detection and counting of wheat spike.

Antibacterial Effect of Fermented Pomegranate Peel Polyphenols on and Its Mechanism.

frequently breaks out in aquatic animal breeding operations involving shrimp, and it can endanger human health through food and wound infections. The antibacterial effect and mechanism of fermented pomegranate peel polyphenols (FPPPs) on were investigated. The results indicated that FPPPs had a strong inhibitory effect on the growth of , and their minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) were 2 and 4 mg/mL.

Electronic Structure Engineering of NiCoP Sites via N, Ru Dual Doping for Bifunctional Water Electrolysis.

Exploiting highly effective electrocatalysts is a challenge for boosting the overall efficiency of water splitting. Herein, we present a nitrogen and ruthenium dual-doping strategy to tailor the electronic structures of NiCoP(N, Ru-NiCoP), creating high-performance bifunctional electrodes for the hydrogen evolution reaction (HER) and oxygen evolution reaction (OER). The dual-doping approach is favorable for electronic interactions within the NiCoP and CoP, yielding a near-zero Gibbs free energy for H adsorption.

Mapping of the T Cell Landscape of Biliary Tract Cancer Unravels Anatomical Subtype-Specific Heterogeneity.

Biliary tract cancer (BTC), encompassing diseases such as intrahepatic (ICC), extrahepatic cholangiocarcinoma (ECC), and gallbladder cancer (GBC), is not only on the rise but also poses a significant and urgent health threat due to its high malignancy. Genomic differences point to the possibility that these subtypes represent distinct diseases. Elucidation of the specific distribution of T cell subsets, critical to cancer immunity, across these diseases could provide better insights into the unique biology of BTC subtypes and help identify potential precision medicine strategies.

Preparation and properties of thermal responsive 2,3-diethyl-5-methylpyrazine fragrance microcapsules with β-CD/CS as wall materials.

2,3-Diethyl-5-methylpyrazine (DEMP) is recognized for its unique nutty scent but faces limitations due to rapid evaporation. The primary objective of this study was to explore the effect of incorporating DEMP with β-cyclodextrin (β-CD) and chitosan (CS) as wall material on the microstructure and thermal release behavior, antibacterial, and antioxidant characteristics. Initially, the microcapsules preparation process underwent optimization with embedding rate of 78.

Inspired by plant body frameworks bionics: Fabrication of self-healing polyvinyl alcohol/cellulose nanocrystals composite hydrogels reinforced by polyurethane sponges for flexible supercapacitors.

With the booming development of electronic technology, ultra-toughness and self-healing supercapacitors have drawn substantial attentions. In this work, inspired by plant body frameworks, a novel method was proposed to prepare self-healing conductive hydrogels based on self-healing polyurethane sponge (PUS) network. First, a self-healing PUS based on multiple hydrogen bonding interactions and disulfide bonds was prepared.

Photocatalytic Mechanisms of Organic Thermally Activated Delayed Fluorescence Compounds.

Reverse intersystem crossing (RISC) has become possible by minimizing the energy gap between the first excited singlet (S) and triplet state (T), which facilitates the thermally activated delayed fluorescence (TADF). Due to the small singlet-triplet energy gap, the S and T states exhibit comparable redox reactivity, leading organic TADF compounds to be potent photocatalysts. Here, we report such TADF compounds with multiple donor units designed as an efficient photocatalyst for the direct C(sp)-H carbamoylation of saturated aza-heterocycles.

Improved prognostication of overall survival after radiotherapy in lung cancer patients by an interpretable machine learning model integrating lung and tumor radiomics and clinical parameters.

Background: Accurate prognostication of overall survival (OS) for non-small cell lung cancer (NSCLC) patients receiving definitive radiotherapy (RT) is crucial for developing personalized treatment strategies. This study aims to construct an interpretable prognostic model that combines radiomic features extracted from normal lung and from primary tumor with clinical parameters. Our model aimed to clarify the complex, nonlinear interactions between these variables and enhance prognostic accuracy.

Efficient and Stable Narrowband Pure-Red Light-Emitting Diodes with Electroluminescence Efficiencies Exceeding 43.

Advanced multiresonance-induced thermally activated delayed fluorescence (MR-TADF) materials exhibit exceptional promise for applications in state-of-the-art organic light-emitting diodes (OLEDs) owing to their unique narrowband emissions and high luminescent efficiencies. Despite substantial progress with blue and green MR-TADF materials, the development of pure-red MR-TADF emitters has lagged behind, thereby hindering the advancement toward high-performance ultrahigh-definition OLED displays. Here, we propose an effective approach for designing pure-red MR-TADF molecules based on the integration of secondary electron-donating units and π-skeleton extension into MR cores, which enables not only a redshift of narrowband emission but also an acceleration of reverse intersystem crossing (RISC) rate.

Development of a core predictor set of weaning in critically ill patients: a Delphi-based study protocol.

Introduction: Prolonged mechanical ventilation in intensive care units (ICUs) leads to increased morbidity, higher mortality rates, and elevated healthcare costs. Predicting successful weaning from mechanical ventilation with accuracy is essential for optimizing resource use and improving patient outcomes. The International Classification of Functioning, Disability and Health (ICF) framework offers a holistic perspective on health conditions and can be adapted to identify key predictors of weaning readiness.

Single-cell and bulk transcriptome analysis reveals tumor cell heterogeneity and underlying molecular program in uveal melanoma.

Background: Uveal melanoma (UM) is a rare and deadly eye cancer with high metastatic potential. Despite the predominance of malignant cells within the tumor microenvironment, the heterogeneity and underlying molecular features remain to be fully characterized.

Methods: We analyzed single-cell transcriptomic profiling of 37,660 malignant cells from 17 UM tumors.

Structure-based design and screening of hydrogel copolymer/FeO composite microspheres for magnetic solid phase extraction of bisphenol A from aqueous samples.

It is of great significance to monitor bisphenol A (BPA) in the environment because of its potential environmental and health risks. However, the detection of trace or ultratrace BPA in complicated environmental samples is challenging due to the relatively low affinity and poor selectivity of existing adsorbents used in sample pretreatment. Herein, we report a high-affinity, low environment-dependent and strong interference-resistant abiotic affinity ligand, a N-methacryloyl-l-lysine-NH (MLys)-based hydrogel copolymer (HP 17) screened from a small focused polymer library engineered by incorporating various combinations and ratios of candidate functional monomers.

Alleviating Tumor Hypoxia and Immunosuppression via Sononeoperfusion: A New Ally for potentiating anti-PD-L1 blockade of solid Tumor.

The hypoxic and immunosuppressive tumor microenvironment (TME) remains a major obstacle to impede cancer immunotherapy. Here, we found that sononeoperfusion-a new effect of tumor perfusion enhancement induced by low mechanical index ultrasound stimulated microbubble cavitation (USMC)-ameliorated tumor tissue oxygenation and induced tumor vascular normalization (TVN). This TVN might be associated with the down-regulation of hypoxia-inducible factor 1-alpha (HIF-1α) and vascular endothelial growth factor (VEGF) within tumors.

Regulation of the SIRT3/SOD2 Signaling Pathway by a Compound Mixture from L. for Myocardial Damage.

L. (PO) has demonstrated notable efficacy in treating coronary heart disease. Previous research identified eight key active components in PO for cardiomyocyte protection, but the underlying mechanisms remained unclear; Methods: Network pharmacology and molecular docking were used to identify potential target proteins of PO's active components.