A novel feature-level fusion scheme with multimodal attention CNN for heart sound classification.

Background And Objective: Most of the existing machine learning-based heart sound classification methods achieve limited accuracy. Since they primarily depend on single domain feature information and tend to focus equally on each part of the signal rather than employing a selective attention mechanism. In addition, they fail to exploit convolutional neural network (CNN) - based features with an effective fusion strategy.

Site 1 protease aggravates acute kidney injury by promoting tubular epithelial cell ferroptosis through SIRT3-SOD2-mtROS signaling.

Ischemia/reperfusion (I/R)-induced acute kidney injury (AKI) is a common clinical syndrome with high morbidity and mortality. Ferroptosis, a newly discovered form of oxidative cell death, is involved in the pathogenesis of renal I/R injury; however, the underlying mechanism remains to be explored. Here, we reported that site 1 protease (S1P) promotes ischemic kidney injury by regulating ferroptotic cell death of tubular epithelial cells.

Dietary folate drives methionine metabolism to promote cancer development by stabilizing MAT IIA.

Folic acid, served as dietary supplement, is closely linked to one-carbon metabolism and methionine metabolism. Previous clinical evidence indicated that folic acid supplementation displays dual effect on cancer development, promoting or suppressing tumor formation and progression. However, the underlying mechanism remains to be uncovered.

Hepatic resection prolongs overall survival in the selected patients with nasopharyngeal carcinoma liver metastases.

Background: The role of surgery in nasopharyngeal carcinoma liver metastases (NCLM) remains elusive, and the current application is limited. We aim to investigate whether hepatic resection (HR) of NCLM improves survival compared with non-hepatic resection (NHR) treatment.

Methods: One hundred and thirty-three patients with NCLM from 2007 to 2017 were divided into two groups.

Comprehensive analysis of N -methyladenosine-related long non-coding RNAs for prognosis prediction in liver hepatocellular carcinoma.

Background: Liver hepatocellular carcinoma (LIHC) is a lethal cancer. This study aimed to identify the N -methyladenosine (m A)-targeted long non-coding RNA (lncRNA) related to LIHC prognosis and to develop an m A-targeted lncRNA model for prognosis prediction in LIHC.

Methods: The expression matrix of mRNA and lncRNA was obtained, and differentially expressed (DE) mRNAs and lncRNAs between tumor and normal samples were identified.

An integrated biological-electrocatalytic process for highly-efficient treatment of coking wastewater.

Coking wastewater is typically refractory, mainly due to its biological toxicity and complex composition. In this study, a novel integrated biological-electrocatalytic process consisting of two three-dimensional electrochemical reactors (3DERs), two biological aerated filters (BAFs), and a three-dimensional biofilm electrode reactor (3DBER) is developed for the advanced treatment of coking wastewater. 73.

Sleep Apnea Event Detection from Sub-frame Based Feature Variation in EEG Signal Using Deep Convolutional Neural Network.

The topic of automatic detection of sleep apnea which is a respiratory sleep disorder, affecting millions of patients worldwide, is continuously being explored by researchers. Electroencephalogram signal (EEG) represents a promising tool due to its direct correlation to neural activity and ease of extraction. Here, an innovative approach is proposed to automatically detect apnea by incorporating local variations of temporal features for identifying the global feature variations over a broader window.

S-Convnet: A Shallow Convolutional Neural Network Architecture for Neuromuscular Activity Recognition Using Instantaneous High-Density Surface EMG Images.

The recent progress in recognizing low-resolution instantaneous high-density surface electromyography (HD-sEMG) images opens up new avenues for the development of more fluid and natural muscle-computer interfaces. However, the existing approaches employed a very large deep convolutional neural network (ConvNet) architecture and complex training schemes for HD-sEMG image recognition, which requires learning of >5.63 million(M) training parameters only during fine-tuning and pre-trained on a very large-scale labeled HD-sEMG training dataset, as a result, it makes high-end resource-bounded and computationally expensive.

The Long Noncoding RNA ANRIL Promotes Cell Apoptosis in Lipopolysaccharide-Induced Acute Kidney Injury Mediated by the TLR4/Nuclear Factor-Kappa B Pathway.

Background/aims: The purpose of this study is to analyze the expression and biological function of lncRNA ANRIL, microRNA-199a, TLR4, and nuclear factor-kappa B (NF-κB) in acute renal injury (AKI) induced by lipopolysaccharide (LPS).

Methods: The levels of ANRIL and microRNA-199a in mouse cells and kidneys were detected by quantitative-polymerase chain reaction. Western blot analysis was used for the NF-κB pathway protein.

Grayscale-Thermal Tracking via Inverse Sparse Representation based Collaborative Encoding.

Grayscale-thermal tracking has attracted a great deal of attention due to its capability of fusing two different yet complementary target observations. Existing methods often consider extracting the discriminative target information and exploring the target correlation among different images as two separate issues, ignoring their interdependence. This may cause tracking drifts in challenging video pairs.

Olmesartan Medoxomil, An Angiotensin II-Receptor Blocker, Ameliorates Renal Injury In db/db Mice.

Background: Diabetic nephropathy (DN) is a common complication of diabetes mellitus (DM) and also a major cause of end-stage renal disease (ESRD). Olmesartan medoxomil (OM) is an angiotensin II receptor blocker (ARB) and has been shown to exhibit renoprotective effects on a streptozotocin (STZ)-induced diabetic rat model. Yet, whether OM affects DN progression and renal injury in db/db mice, a type 2 diabetic murine model, has not been established.

Salidroside and FG-4592 ameliorate high glucose-induced glomerular endothelial cells injury via HIF upregulation.

Increasing research indicates that hyperglycemia plays a crucial role in the progression of diabetic nephropathy (DN); however, effective treatment for preventing or slowing DN progression are seriously lacking. Although salidroside (SAL) has been demonstrated to have a positive anti-diabetic effect, the cellular mechanisms remain unclear. FG-4592, a novel prolyl hydroxylase inhibitor, was used to regulate HIF-1α and HIF-2α expression.

Sleep Apnea Detection Based on Rician Modeling of Feature Variation in Multiband EEG Signal.

Sleep apnea, a serious sleep disorder affecting a large population, causes disruptions in breathing during sleep. In this paper, an automatic apnea detection scheme is proposed using single lead electroencephalography (EEG) signal to discriminate apnea patients and healthy subjects as well as to deal with the difficult task of classifying apnea and nonapnea events of an apnea patient. A unique multiband subframe based feature extraction scheme is developed to capture the feature variation pattern within a frame of EEG data, which is shown to exhibit significantly different characteristics in apnea and nonapnea frames.

Cluster based statistical feature extraction method for automatic bleeding detection in wireless capsule endoscopy video.

Wireless capsule endoscopy (WCE) is capable of demonstrating the entire gastrointestinal tract at an expense of exhaustive reviewing process for detecting bleeding disorders. The main objective is to develop an automatic method for identifying the bleeding frames and zones from WCE video. Different statistical features are extracted from the overlapping spatial blocks of the preprocessed WCE image in a transformed color plane containing green to red pixel ratio.

Dihydropyrimidine dehydrogenase predicts survival and response to interferon-α in hepatocellular carcinoma.

Metastasis and recurrence contribute to poor prognosis of hepatocellular carcinoma (HCC). Recently, we reported that interferon-α (IFN-α) can suppress metastasis of HCC; however, the underlying mechanism has not been fully described. In this study, we demonstrated that expression of dihydropyrimidine dehydrogenase (DPYD), a pyrimidine catabolic enzyme, was dose-dependently downregulated by IFN-α in HCC tissues from nude mice.

DCT domain feature extraction scheme based on motor unit action potential of EMG signal for neuromuscular disease classification.

A feature extraction scheme based on discrete cosine transform (DCT) of electromyography (EMG) signals is proposed for the classification of normal event and a neuromuscular disease, namely the amyotrophic lateral sclerosis. Instead of employing DCT directly on EMG data, it is employed on the motor unit action potentials (MUAPs) extracted from the EMG signal via a template matching-based decomposition technique. Unlike conventional MUAP-based methods, only one MUAP with maximum dynamic range is selected for DCT-based feature extraction.

[Expression and significance of neutrophil gelatinase-associated lipocalin in renal interstitial fibrosis in rats].

Objective: To explore the expression and significance of neutrophil gelatinase-associated lipocalin(NGAL)in renal interstitial fibrosis (RIF) in rats.

Methods: A total of 60 male Sprague-Dawley rats were randomly divided into 3 groups of sham operation (SOR), unilateral ureteral obstruction (UUO) and angiotensin-converting enzyme inhibitor (ACEI). The serum concentrations of NGAL and tumor necrosis factor-alpha (TNF-α) were detected by enzyme-linked immunosorbent assay (ELISA).

[Chemical approaches for trapping protein thiols and their oxidative modification].

Redox signal transduction, especially the oxidative modification of proein thiols, correlates with many diseases and becomes an expanding research area. However, there was rare method for quick and specific detection of protein thiols and their oxidative modification in living cells. In this article, we review the current chemical strategies for the detection and quantification of protein thiols and related cysteine oxidation.

[Mutation analysis of hMSH2 and hMLH1 genes in Chinese hereditary nonpolyposis colorectal cancer families].

Objectives: To determine the germ-line mutations of hMSH2 and hMLH1 genes in Chinese hereditary nonpolyposis colorectal cancer (HNPCC) families' probands or in patients fulfilling different clinical criteria or guidelines; to clarify the nature and distribution of the mutations; to evaluate the sensitivity of different clinical criteria in mutation prediction.

Methods: The entire coding regions (35 exons including exon-intron boundaries) of hMSH2 and hMLH1 genes were directly sequenced in 24 Amsterdam criteria (AC) probands, 15 Japanese criteria (JC) probands (except AC kindreds) and 19 Bethesda guidelines (BG) patients (except two former groups). All available affected and unaffected members from families of those with mutations were screened for mutation.

[Mutation of 5'noncoding region of the bcl-6 gene in diffuse large B cell lymphomas].

Objective: To observe the mutation of 5'noncoding region of bcl-6 gene in diffuse large B cell lymphoma (DLBCL) and its effect on lymphoma pathogenesis.

Methods: 38 DLBCL, 2 reactive hyperplasias, 5 follicular lymphomas and 5 T cell lymphomas were chosen for PCR direct sequence analysis using two sets of primers in 5'noncoding region of the bcl-6 gene.

Results: No mutation was found in the marginal region of reactive hyperplasias, T cell lymphomas, and follicular lymphomas but detected in 1/2 of the follicular center cells, and 7/38 cases of DLBCL.