Anomaly Detection Based on Multiple Streams Clustering for Train Real-Time Ethernet

With the increasing traffic of train communication network (TCN), real-time Ethernet becomes the development trend. However, Train Control and Management System (TCMS) is inevitably faced with more security threats than before because of the openness of Ethernet communication protocol. It is necessary to introduce effective security mechanism into TCN. Therefore, we propose a train real-time Ethernet anomaly detection system (TREADS). TREADS introduces a multiple streams clustering algorithm to realize anomaly detection, which considers the correlation between the data dimensions and adopts the decay window to pay more attention to the recent data. In the experiment, the reliability of TREADS is tested based on the TRDP data set collected from the real network environment, and the models of anomaly detection algorithms are established for evaluation. Experimental results show that TREADS can provide a high reliability guarantee, besides, the algorithm can detect and analyze network anomalies more efficiently and accurately

The role of gut archaea in the pig gut microbiome: a mini-review

The gastrointestinal microbiota of swine harbors an essential but often overlooked component: the gut archaea. These enigmatic microorganisms play pivotal roles in swine growth, health, and yield quality. Recent insights indicate that the diversity of gut archaea is influenced by various factors including breed, age, and diet. Such factors orchestrate the metabolic interactions within the porcine gastrointestinal environment. Through symbiotic relationships with bacteria, these archaea modulate the host’s energy metabolism and digestive processes. Contemporary research elucidates a strong association between the abundance of these archaea and economically significant traits in swine. This review elucidates the multifaceted roles of gut archaea in swine and underscores the imperative for strategic interventions to modulate their population and functionality. By exploring the probiotic potential of gut archaea, we envisage novel avenues to enhance swine growth, health, and product excellence. By spotlighting this crucial, yet under-investigated, facet of the swine gut microbiome, we aim to galvanize further scientific exploration into harnessing their myriad benefits

Metagenomic and Meta-Transcriptomic Analysis Reveal the Colonization and Expression Profile of Probiotic Strains in Humans and Animals

In humans and animals, probiotics are widely accepted as crucial for host health and growth. The investigation of the probiotic colonization and expression of probiotics in the host is beneficial for proper usage of probiotics and isolation of indigenous probiotics. In this study, we analyzed commonly used probiotic strains in the intestines/rumen of humans and animals by analyzing metagenomic and paired meta-transcriptomic data from the gut or rumen microbiome of humans (n = 13), pigs (n = 6), chickens (n = 6), cattle (n = 14), sheep (n = 10), and mice (n = 8). First, we generated an expression profile based on 192 selected representative probiotic strains from a published database. A total of 58 probiotic strains were not detected in any samples, while 3 strains were presented and expressed in all individuals. Overall, the probiotic expression of probiotics as detected by meta-transcriptome was significantly higher than the relative abundance of probiotic as detected by metagenomics in cattle, sheep, mice, and humans; however, this difference was not significant in pigs and chickens. In total, 17 (cattle), 21 (sheep), 22 (pig), 14 (chicken), 13 (mouse), and 3 (human) probiotic strains were identified as probiotic strains with significantly higher expression levels [Fold Change (FC) ≥ 2, False Discovery Rate (FDR) ≤ 0.05]. Among them, Clostridium butyricum TOA was found to be significantly expressed in the rumen or gut of all host species. In addition, network analysis based on the expression of probiotics as detected by meta-transcriptomics revealed that several probiotic strains were significantly negatively linked with Salmonella spp., Mycoplasma spp., and Escherichia coli. The results in this study provide a useful reference for developing indigenous probiotics

Screening for pathogenic variants in obese cohort using whole-exome sequencing

Objective·To screen mutations of key genes in the leptin-melanocyte stimulating hormone (LEP-MSH) pathway by whole-exome sequencing (WES) in the obese cohort.Methods·A total of 119 obese patients aged 17－65 years old with body mass index (BMI)≥34 kg/m2, who underwent laparoscopic sleeve gastrectomy from January 2011 to July 2019 at Shanghai Sixth People′s Hospital, Shanghai Jiao Tong University School of Medicine were collected. The peripheral blood samples of the research subjects were collected, and whole genome DNA was extracted to perform WES. Bioinformatic methods were applied to detect the mutations in 16 genes in the LEP-MSH pathway (ADCY3, AGRP, BDNF, KSR2, LEP, LEPR, MC3R, MC4R, MCHR1, MRAP2, NTRK2, PCSK1, PHIP, POMC, SH2B1, and SIM1). Rare variants with the minor allele frequency in the total population less than 0.02 and in the East Asian population less than 0.01 in the 1000 Genome (1000G), Exome Aggregation Consortium (ExAC) and Genome Aggregation Database (gnomAD) were selected for subsequent analysis. Six pieces of prediction software were used to evaluate the deleteriousness of the mutations. Finally, based on the clinical information of each patient, the pathogenicity of all variants was determined according to the guidelines of America College of Medical Genetics and Genomics (ACMG), and only the "pathogenic", "likely pathogenic", and "uncertain significance" variants were retained.Results·A total of 26 variants, 22 kinds of variants were detected in 24 patients from 119 subjects, all of which were heterozygous mutations. The detected variants included 7 in SH2B1 gene (accounting for 26.92% of the total variants), 4 in MCHR1 gene (accounting for 15.38%), 3 in PHIP gene (accounting for 11.53%), 2 in ADCY3 and LEPR genes (accounting for 7.69%, respectively), and 1 in LEP, NTRK2, AGRP, KSR2, MC3R, MC4R, BDNF, and PCSK1 genes, respectively (accounting for 3.85%, respectively). There were 3 patients having the same mutation site in SH2B1 gene, and 2 patients having the same mutation sites in LEPR gene and MCHR1 gene, respectively. In addition, among these mutations, there were 12 ones not included in the East Asian population in 3 public databases, which were novel mutations in the East Asian population, located in SH2B1 (p.V209I, p.R67C, and p.L149F), KSR2 (p.P155T), LEP (p.D106N), LEPR (p.W132R), PHIP (p.K1461R), BDNF (p.N84S), PCSK1 (p.R282W), NTRK2 (p.T732M), MC3R (p.S71P), and MC4R (p.W174X).Conclusion·A total of 22 kinds of rare variations possibly associated with obesity in the LEP-MSH pathway are detected, 12 of which are novel in the East Asian population

Archaea: An under-estimated kingdom in livestock animals

Archaea are considered an essential group of gut microorganisms in both humans and animals. However, they have been neglected in previous studies, especially those involving non-ruminants. In this study, we re-analyzed published metagenomic and metatranscriptomic data sequenced from matched samples to explore the composition and the expression activity of gut archaea in ruminants (cattle and sheep) and monogastric animals (pig and chicken). Our results showed that the alpha and beta diversity of each host species, especially cattle and chickens, calculated from metagenomic and metatranscriptomic data were significantly different, suggesting that metatranscriptomic data better represent the functional status of archaea. We detected that the relative abundance of 17 (cattle), 7 (sheep), 20 (pig), and 2 (chicken) archaeal species were identified in the top 100 archaeal taxa when analyzing the metagenomic datasets, and these species were classified as the “active archaeal species” for each host species by comparison with corresponding metatranscriptomic data. For example, The expressive abundance in metatranscriptomic dataset of Methanosphaera cuniculi and Methanosphaera stadtmanae were 30- and 27-fold higher than that in metagenomic abundance, indicating their potentially important function in the pig gut. Here we aim to show the potential importance of archaea in the livestock digestive tract and encourage future research in this area, especially on the gut archaea of monogastric animals

A Multi-source Dynamic Temporal Point Process Model for Train Delay Prediction

Train delay prediction is a key technology for intelligent train scheduling and passenger services. We propose a train delay prediction model that takes into account the asynchrony of train events, the dynamics of train operations, and the diversity of influencing factors. Firstly, we consider train operations as discrete sequences of train events and propose a train arrival neural temporal point process (TANTPP) framework focused on predicting train delays that explicitly models the asynchrony of train events. Secondly, we introduce a multi-source dynamic spatiotemporal embedding method for the feature encoder in the TANTPP framework, which enhances the capability to capture the features of train operation networks. Thirdly, to better capture the distribution of train events in the TANTPP framework, we utilize a lognormal mixture hybrid method to learn the probability density distribution of train arrival events. Finally, the experimental result on real-world datasets demonstrates that the TANTPP model outperforms current stateof- the-art models, reducing the MAE by 10.85%, the RMSE by 9.8%, the RRSE by 3.78% and the MAPE by 10.11% on average. To the best of our knowledge, this is the first study to utilize neural temporal point processes to enhance train delay prediction

S-allyl-l-cysteine attenuates bleomycin-induced pulmonary fibrosis and inflammation via AKT/NF-κB signaling pathway in mice

Idiopathic pulmonary fibrosis (IPF) is a progressive and lethal lung disease characterized by inflammation, multifocal fibrotic lesions and excessive collagen deposition with limited therapies. As a major bioactive compound in garlic, S-allyl-l-cysteine (SAC) is a neuroprotective drug candidate to prevent cognitive decline, however, its anti-pulmonary fibrotic activity remains unknown. Here, we investigated whether SAC could attenuate bleomycin (BLM)-induced pulmonary fibrosis and inflammation in mice. Our results showed that SAC dose-dependently reduced the infiltration of inflammatory cells, pulmonary lesions and collagen deposition in BLM treated mice with downregulated mRNA expression levels of fibrotic genes including alpha smooth muscle actin (α-SMA), fibronectin, collagen I and collagen III as well as the protein level of α-SMA. In addition, SAC could also reduce the mRNA expression of inflammatory mediators such as TNF-α and iNOS. Furthermore, higher phosphorylation of AKT and NF-κB p65 in IPF patient samples and murine samples was verified by immunohistochemistry while SAC could decrease the phosphorylation level of AKT and NF-κB p65 in mice stimulated with BLM. These findings, for the first time, indicate that SAC might mediate AKT/NF-κB signaling pathway to inhibit BLM-induced pulmonary fibrosis and support the potential role of SAC as an anti-pulmonary fibrosis agent. Keywords: S-allyl-l-cysteine, Pulmonary fibrosis, Inflammation, AKT, NF-κ

Prediction of Train Station Delay Based on Multiattention Graph Convolution Network

Train station delay prediction is always one of the core research issues in high-speed railway dispatching. Reliable prediction of station delay can help dispatchers to accurately estimate the train operation status and make reasonable dispatching decisions to improve the operation and service quality of rail transit. The delay of one station is affected by many factors, such as spatiotemporal factor, speed limitation or suspension caused by strong wind or bad weather, and high passenger flow caused by major holiday. But previous studies have not fully combined the spatiotemporal characteristics of station delay and the impact of external factors. This paper makes good use of the train operation data, proposes the multiattention mechanism to capture the spatiotemporal characteristics of train operation data and process the external factors, and establishes a Multiattention Train Station Delay Graph Convolution Network (MATGCN) model to predict the train delay at high-speed railway stations, so as to provide references for train dispatching and emergency plan. This paper uses real train operation data coming from China high-speed railway network to prove that our model is superior to ANN, SVR, LSTM, RF, and TSTGCN models in the prediction effect of MAE, RMSE, and MAPE

Polyphenol Extract of Moringa Oleifera Leaves Alleviates Colonic Inflammation in Dextran Sulfate Sodium-Treated Mice

Moringa oleifera Lam. is an essential herb used for the treatment of inflammation, diabetes, high blood pressure, and other diseases. In this study, phenolic extracts of M. oleifera leaves were obtained and analyzed. The results showed that the main identifiable phenols were astragalin, chlorogenic acid, isoquercitrin, kaempferitrin, luteolin, quercetin, and rutin. The effects of M. oleifera polyphenol extract (MOPE) on experimental colitis induced by 3% dextran sulfate sodium (DSS) were investigated. The results showed that oral administration of MOPE significantly alleviated the symptoms of DSS-induced colitis. MOPE significantly reduced weight loss, the disease activity index, colon shortening, and mucosal damage. In addition, MOPE attenuated the infiltration of CD3+ T cells, CD177+ neutrophils, and F4/80+ macrophages and significantly inhibited the secretion of IL-6 and TNF-α. After the MOPE administration, the expression of proteins associated with the NF-κB signaling pathway changed. Specifically, compared with that of the DSS group, the protein expression of NF-κB p65 and p-IκBα was downregulated, and the expression of IκBα was upregulated. This study revealed the anti-inflammatory effects and mechanisms of MOPE in the colon, indicating its potential use in preventing inflammation-driven diseases