High social capital facilitates the alleviation of psychological distress in breast cancer patients: Insights from a cross-sectional study in Anhui Province, China.

Differences in social capital have been shown to impact psychological distress in cancer patients, but few studies have examined the relationship between social capital and the distress thermometer (DT) in breast cancer patients who have undergone modified radical surgery. To fill this research gap, our study aimed to investigate the association between social capital and the DT among breast cancer patients who underwent modified radical surgery in Anhui Province, China. This cross-sectional study used multi-stage stratified random sampling.

Case report: Primary myelofibrosis presenting with portal hypertension mimicking cirrhosis.

Primary myelofibrosis (PMF) is an infrequent etiology of noncirrhotic portal hypertension (PH). In clinical settings, non-cirrhotic PH is often misdiagnosed as cirrhotic PH. This case report details a patient who exhibited recurrent esophageal variceal hemorrhage and was initially misdiagnosed with cirrhosis.

Exploring Research on the Construction and Application of Knowledge Graphs for Aircraft Fault Diagnosis.

Fault diagnosis is crucial for repairing aircraft and ensuring their proper functioning. However, with the higher complexity of aircraft, some traditional diagnosis methods that rely on experience are becoming less effective. Therefore, this paper explores the construction and application of an aircraft fault knowledge graph to improve the efficiency of fault diagnosis for maintenance engineers.

Swimming start model and determination of the optimal breakout position.

While many parameters contribute to swimming start performance, a few have been proven to affect the overall start performance more significantly than others; these include take-off velocity, flight time, entry water distance, time underwater during descent and ascent, and free-swimming velocity. This study aims to analyse the influential trajectory of these key parameters on the overall start performance, particularly focusing on determining the optimal breakout point. Ten national-level swimmers participated in this study, which combined kinematics and statistical analysis to propose a novel start model that can be used to explore the influential trajectory of key parameters on the overall start performance and assess the effect of some training factors for performance improvement.

A distributed multiple sample testing for massive data.

When the data are stored in a distributed manner, direct application of traditional hypothesis testing procedures is often prohibitive due to communication costs and privacy concerns. This paper mainly develops and investigates a distributed two-node Kolmogorov-Smirnov hypothesis testing scheme, implemented by the divide-and-conquer strategy. In addition, this paper also provides a distributed fraud detection and a distribution-based classification for multi-node machines based on the proposed hypothesis testing scheme.

A distributed quantile estimation algorithm of heavy-tailed distribution with massive datasets.

Quantile estimation with big data is still a challenging problem in statistics. In this paper we introduce a distributed algorithm for estimating high quantiles of heavy-tailed distributions with massive datasets. The key idea of the algorithm is to apply the alternating direction method of multipliers in parameter estimation of the generalized pareto distribution in a distributed structure and compute high quantiles based on parameter estimation by the Peak Over Threshold method.

A Deep-Learning-Based Real-Time Detector for Grape Leaf Diseases Using Improved Convolutional Neural Networks.

Black rot, Black measles, Leaf blight and Mites of grape are four common grape leaf diseases that seriously affect grape yield. However, the existing research lacks a real-time detecting method for grape leaf diseases, which cannot guarantee the healthy growth of grape plants. In this article, a real-time detector for grape leaf diseases based on improved deep convolutional neural networks is proposed.

Analysis of risk factors for multiple primary oral squamous cell carcinoma: a cohort study.

Objective: Chewing betel quid (CBQ) is popular in Southeast Asia, resulting in a high incidence of oral squamous cell carcinoma (OSCC). The incidence of multiple primary oral cancer (MPOC) has gradually increased and has become one of the main causes of OSCC treatment failure. However, it is unclear whether the high incidence of MPOC is also correlated with the habit of CBQ.

Mineralocorticoid receptor antagonism limits experimental choroidal neovascularization and structural changes associated with neovascular age-related macular degeneration.

Choroidal neovascularization (CNV) is a major cause of visual impairment in patients suffering from wet age-related macular degeneration (AMD), particularly when refractory to intraocular anti-VEGF injections. Here we report that treatment with the oral mineralocorticoid receptor (MR) antagonist spironolactone reduces signs of CNV in patients refractory to anti-VEGF treatment. In animal models of wet AMD, pharmacological inhibition of the MR pathway or endothelial-specific deletion of MR inhibits CNV through VEGF-independent mechanisms, in part through upregulation of the extracellular matrix protein decorin.