Multi-DECT Image-based Interpretable Model Incorporating Habitat Radiomics and Vision Transformer Deep Learning for Preoperative Prediction of Muscle Invasion in Bladder Cancer.

Rationale And Objectives: The research aims to evaluate the effectiveness of a multi-dual-energy CT (DECT) image-based interpretable model that integrates habitat radiomics with a 3D Vision Transformer (ViT) deep learning (DL) for preoperatively predicting muscle invasion in bladder cancer (BCa).

Materials And Methods: This retrospective study analyzed 200 BCa patients, who were divided into a training cohort (n=140) and a test cohort (n=60) in a 7:3 ratio. Univariate and multivariate analyses were performed on the DECT quantitative parameters to identify independent predictors, which were subsequently used to develop a DECT model.

Response of stalk lodging resistance traits, yield and quality of silage maize to high density.

A two-factor randomized block experiment was conducted in 2024 to investigate three silage maize varieties under three high densities (150,000, 180,000, and 210,000 plants [Formula: see text]). The study aimed to explore how high-density environments affect stalk lodging. The results showed that: (1) The increase in density significantly altered the traits related to the stalks.

HSPA9/HMGB1 regulates myocardial fibrosis in atrial fibrillation via TGF-β1/Smad pathway and autophagy.

Background: Atrial fibrillation (AF) is a common arrhythmia often linked to myocardial fibrosis. This study investigates the molecular mechanisms underlying AF, focusing on HSPA9 as a key regulator of fibrosis and its interaction with the TGF-β1/Smad pathway.

Methods: The GSE79768 dataset was employed for differential gene expression analysis.

Potential mechanism of 25R-inokosterone in the treatment of osteoporosis: Based on bioinformatics and molecular dynamics model.

25R-inokosterone, a sterone derived from Achyranthes bidentata Bl., has potential anti-osteoporotic effects. However, the underlying mechanism of 25R-inokosterone in the treatment of osteoporosis is unknown.

Machine Learning Analysis of Maize Seedling Traits Under Drought Stress.

The increasing concentration of greenhouse gases is amplifying the global risk of drought on crop productivity. This study sought to investigate the effects of drought on the growth of maize ( L.) seedlings.

Screening for cold tolerance resources in maize seedlings and analysis of leaf cell responses.

Using 63 maize varieties as materials, this study employed indoor low-temperature stress testing methods to evaluate cold tolerance during the seedling stage. The aim was to investigate the low-temperature resistance of different maize varieties during the seedling stage and to conduct photosynthetic physiological analysis and leaf cell responses for extreme materials. The results of the experiment indicate that: (1) Different maize varieties exhibit variations in cold tolerance during the seedling stage, and the extent to which various measurement indicators are affected by low-temperature stress differs.

A phloem-limited unculturable bacterium induces mild xenophagy in insect vectors for persistent infection.

Xenophagy is an important antibacterial defense mechanism that many organisms use to engulf intracellular pathogens. However, the mechanisms of xenophagy triggered by insect-borne plant bacteria are not well understood. Candidatus Liberibacter asiaticus (CLas) causes Huanglongbing, which poses a serious threat to citrus production.

Automated opportunistic screening for osteoporosis using deep learning-based automatic segmentation and radiomics on proximal femur images from low-dose abdominal CT.

Rationale And Objectives: To establish an automated osteoporosis detection model based on low-dose abdominal CT (LDCT). This model combined a deep learning-based automatic segmentation of the proximal femur with a radiomics-based bone status classification.

Materials And Methods: A total of 456 participants were retrospectively included and were divided into a development cohort comprising 355 patients, with a 7:3 ratio randomly assigned to the training and validation cohorts, and a test cohort comprising 101 patients.

Efficacy of bronchoalveolar lavage in treating mycoplasma pneumonia and bacterial pneumonia with atelectasis in children.

Background: Pulmonary atelectasis (PA) is a severe complication of pneumonia in children. Despite the growing use of fiberoptic bronchoscopy, the effectiveness of bronchoalveolar lavage (BAL) in treating PA caused by various pathogens remains uncertain. This study aims to evaluate the efficacy of BAL in PA associated with different pathogens and to identify factors influencing treatment outcomes.

Genipin attenuates oxidative damage in periodontal tissues by alleviating mitochondrial dysfunction and abnormal glucose uptake through inhibition of UCP2.

Introduction: Periodontitis is a chronic inflammatory disease closely associated with mitochondrial dysfunction. Uncoupling protein 2 (UCP2), located in the inner membrane of mitochondria, reduces mitochondrial membrane potential (MMP) and adenosine triphosphate (ATP) synthesis by promoting proton leakage across the membrane. This leads to decreased energy metabolism efficiency, impairing cellular glucose uptake, and disrupting intracellular energy balance.

Bidirectional Mendelian randomization and colocalization analysis of gut microbiota on lipid profile.

The gut microbiota plays a crucial role in human health, but its impact on lipid metabolism remains unclear. Understanding the causal relationship between gut bacteria and lipid profiles is essential for developing strategies to prevent and treat dyslipidemia and cardiovascular diseases. This study aimed to assess this relationship using two-sample Mendelian randomization (MR).

Clinical Characteristics and Influencing Factors of Feeding Intolerance After Surgery for Neonatal Necrotizing Enterocolitis.

Background: Feeding intolerance (FI) following surgery for neonatal necrotizing enterocolitis (NEC) can impact recovery and prognosis, making the early identification of FI risk essential for optimizing management and improving outcomes.

Methods: We retrospectively collected data from patients who underwent surgery for NEC between January 2013 and December 2023. Multivariate binary logistic regression was performed to identify independent factors influencing postoperative feeding intolerance.

Site-specific immunoglobulin G N-glycosylation is associated with gastric cancer progression.

Background: The relationship between cancer development and alterations in IgG N-glycosylation has been well-established. However, comprehensive profiling of the N-glycome and N-glycoproteome in gastric cancer (GC) remains limited. Furthermore, the prognostic potential of IgG N-glycan patterns in identifying precursors to GC has yet to be fully elucidated.

Selective colorimetric detection of carbosulfan based on its hydrolysis behavior and TiC/AuPt nanozyme.

Background: Carbosulfan (CBS) is a widely used carbamate pesticide in agricultural production, its easy decomposition into hypertoxic carbofuran poses serious threats to human health and food safety. Therefore, sensitive and accurate detection of CBS is of significant importance. Conventional chromatography-based techniques require expensive instruments and complicated sample pretreatment, limiting their application for fast detection.

Enhancing the Opportunistic Bone Status Assessment Using Radiomics Based on Dual-Energy Spectral CT Material Decomposition Images.

Unlabelled: The dual-energy spectral CT (DEsCT) employs material decomposition (MD) technology, opening up novel avenues for the opportunistic assessment of bone status. Radiomics, a powerful tool for elucidating the structural and textural characteristics of bone, aids in the detection of mineral loss. Therefore, this study aims to compare the efficacy of bone status assessment using both bone density measurements and radiomics models derived from MD images and to further explore the clinical value of radiomics models.

Differences in Physiological and Agronomic Traits and Evaluation of Adaptation of Seven Maize Varieties.

To better understand the growth adaptability of various maize varieties to the climate of the Alar region in Southern Xinjiang Province, an experiment was conducted using seven distinct maize varieties as test materials. A one-way randomized block design was applied to both experimental groups. In 2021 and 2022, a total of 19 indicators were observed for comparative analysis, including antioxidant enzyme activities and agronomic traits.

Assessing muscle invasion in bladder cancer via virtual biopsy: a study on quantitative parameters and classical radiomics features from dual-energy CT imaging.

Objective: To evaluate the prediction value of Dual-energy CT (DECT)-based quantitative parameters and radiomics model in preoperatively predicting muscle invasion in bladder cancer (BCa).

Materials And Methods: A retrospective study was performed on 126 patients with BCa who underwent DECT urography (DECTU) in our hospital. Patients were randomly divided into training and test cohorts with a ratio of 7:3.

Multi-DECT Image-based Intratumoral and Peritumoral Radiomics for Preoperative Prediction of Muscle Invasion in Bladder Cancer.

Objectives: To assess the predictive value of intratumoral and peritumoral radiomics based on Dual-energy CT urography (DECTU) multi-images for preoperatively predicting the muscle invasion status of bladder cancer (BCa).

Material And Methods: This retrospective analysis involved 202 BCa patients who underwent DECTU. DECTU-derived quantitative parameters were identified as risk factors through stepwise regression analysis to construct a DECT model.

Impact of multi-parameter images obtained from dual-energy CT on radiomics to predict pathological grading of bladder urothelial carcinoma.

Objective: To investigate the effect of radiomics models obtained from dual-energy CT (DECT) material decomposition images and virtual monoenergetic images (VMIs) in predicting the pathological grading of bladder urothelial carcinoma (BUC).

Materials And Methods: A retrospective analysis of preoperative DECT examination was conducted on 112 patients diagnosed with BUC. This cohort included 76 cases of high-grade urothelial carcinoma and 36 cases of low-grade urothelial carcinoma.

Impact of virtual monochromatic images of different low-energy levels in dual-energy CT on radiomics models for predicting muscle invasion in bladder cancer.

Objective: The purpose of this study was to investigate the impact of different low-energy virtual monochromatic images (VMIs) in dual-energy CT on the performance of radiomics models for predicting muscle invasive status in bladder cancer (BCa).

Materials And Methods: A total of 127 patients with pathologically proven muscle-invasive BCa (n = 49) and non-muscle-invasive BCa (n = 78) were randomly allocated into the training and test cohorts at a ratio of 7:3. Feature extraction was performed on the venous phase images reconstructed at 40, 50, 60 and 70-keV (single-energy analysis) or in combination (multi-energy analysis).

Comprehensive Evaluation and Selection of 192 Maize Accessions from Different Sources.

In the period 2022-2023, an analysis of fourteen phenotypic traits was conducted across 192 maize accessions in the Aral region of Xinjiang. The Shannon-Wiener diversity index was employed to quantify the phenotypic diversity among the accessions. Subsequently, a comprehensive evaluation of the index was performed utilizing correlation analysis, principal component analysis (PCA) and cluster analysis.

Prevalence of diverse colorectal polyps and risk factors for colorectal carcinoma in situ and neoplastic polyps.

Background: Most colorectal cancers originate from precancerous polyps. This study aimed to determine the prevalence of colorectal polyps with diverse pathological morphologies and to explore the risk factors for colorectal carcinoma in situ (CCS) and neoplastic polyps.

Methods: Inpatients admitted from January 2018 to May 2023 were screened through the hospital information system.