192 research outputs found

    The Gut Microbiota in Ulcerative Colitis-Mini review

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    Microbiota in the intestines and the host interact with each other, affecting the host's health and, in turn, the arrangement of gut microbiota. The two important characteristics in this regard are a decrease in beneficial bacteria and an increase in harmful bacteria. In the normal health state, these life forms ‎are in a symbiotic relationship with the host where they can provide some biological functions ‎not executed by the host. Vitamin K biosynthesis is a well-known example of this. On the other ‎hand, in a disease state, these microbiota communities become disturbed where beneficial ‎members are lost in favour of some pathological forms which may increase the pathological ‎process.. Changes in the makeup and quantity of the gut microbiome have been shown to be valuable as diagnostic markers. The gut microbiota plays an essential role in Ulcerative collitis. In this ‎review, we reviewed some of these microbiota changes in different gastrointestinal diseases

    Bacterial Biomarkers in the gut of Inflammatory Bowel Disease by Metagenomic analysis- Review article

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    Microbiota within the intestines and the host interact with each other and there by affect the host’s health status, which in turn affects the structure of gut microbiota. With advances in metagenomics, metabolomics and bioinformatics, as well as traditional culturing, the causality and association between gut microbiota of the Crohn’s disease, ulcerative colitis of gut have been well studied. Our aim was to systematically review the literature on the Inflammatory Bowel Disease (IBD) gut microbiome and its usefulness to provide microbiome-based biomarkers. A review of the online bibliographic database PubMed was carried out. The IBD intestinal microbiome was often characterized by decreased species richness and diversity, as well as decreased temporal stability, whereas alterations in the gut microbiome appeared to play a critical role in determining the start of IBD. Several studies have found that various microbial taxa, such as bacteria, fungi, viruses, and archaea, are enriched or reduced in IBD. The decrease in helpful bacteria and the increase in harmful bacteria are the two key traits in this sense. There were also significant differences between remission and relapse IBD status. Changes in the composition and abundance of the gut microbial community have proven to be useful as diagnostic indicators. The gut microbiota is important in IBD. A deeper understanding of the human gut microbiota could lead to novel targets for illness diagnosis, prognosis, treatment, and possibly cur

    IoT based Driver Drowsiness and Pothole Detection Alert System

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    One of the common in progressing countries is the maintenance of roads. Well maintained roads contribute a major portion to the country’s economy. Identification of pavement distress such as potholes and humps not only help drivers to avoid accidents or vehicle damages, but also helps authorities to maintain roads. This paper discusses various pothole detection methods that have been developed and proposes a simple and cost-effective solution to identify the potholes and humps on roads and provide timely alerts to drivers to avoid accidents or vehicle damages. Not only Potholes and humps are the main cause of accidents other than over speeding and drowsiness of driver includes the issue of accidents. Drowsy state may be caused by lack of sleep, medication, tiredness, drugs or driving continuously for long period of time. So, here is the solution for detecting the potholes and humps and to alert the driver from drowsiness while driving. In this paper, the system is structured to detect potholes and to alert the drowsy driver by using the ultrasonic sensor, eyeblink sensor and IR sensor and microcontroller. Ultrasonic sensor senses the humps, IR sensor senses the potholes and eye blink sensor the blinking of eye and this sensing signals fed into the Arduino to alert the driver by buzzer sound

    Physico-chemical properties based differential toxicity of graphene oxide/reduced graphene oxide in human lung cells mediated through oxidative stress

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    Goraphene derivatives (GD) are currently being evaluated for technological and biomedical applications owing to their unique physico-chemical properties over other carbon allotrope such as carbon nanotubes (CNTs). But, the possible association of their properties with underlying in vitro effects have not fully examined. Here, we assessed the comparative interaction of three GD - graphene oxide (GO), thermally reduced GO (TRGO) and chemically reduced GO (CRGO), which significantly differ in their lateral size and functional groups density, with phenotypically different human lung cells; bronchial epithelial cells (BEAS-2B) and alveolar epithelial cells (A549). The cellular studies demonstrate that GD significantly ineternalize and induce oxidative stress mediated cytotoxicity in both cells. The toxicity intensity was in line with the reduced lateral size and increased functional groups revealed more toxicity potential of TRGO and GO respectively. Further, A549 cells showed more susceptibility than BEAS-2B which reflected cell type dependent differential cellular response. Molecular studies revealed that GD induced differential cell death mechanism which was efficiently prevented by their respective inhibitors. This is prior study to the best of our knowledge involving TRGO for its safety evaluation which provided invaluable information and new opportunities for GD based biomedical applications

    Biology and management of mealybug, Paracoccus marginatus Williams and Granara de Willink on Jatropha curcas L.

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    Jatropha cultivation is gaining importance as potential source of biofuel. Recently Paracoccus marginatus has been found to cause serious damage on Jatropha. Studies on the biology and management of P. marginatus at GKVK, Bangalore revealed that the females had three nymphal instars without any pupal stage, while the male had three nymphal instars besides, pre-pupal and pupal stages. The total nymphal period for female ranged from 14 to 21 days, (mean- 17.32±1.6 days) while for male the range was 16 to 23 days, (mean- 18.9±1.3 days). Bisexual and parthenogenetic modes of reproduction were observed. The fecundity of the female mealybug ranged from 248 to 967, with an average of 618.9±19 eggs. Evaluation of insecticides revealed that during first spray and second spray, mean per cent reduction of mealy bug population was highest in profenophos 0.05% (68.05 and 79.35) followed by buprofezin 0.025% (63.61 and 72.69). Least per cent reduction of mealy bug was observed in the NSKE 5% (17.94 and 25.77) treatment

    Design Space and Variability Analysis of SOI MOSFET for Ultra-Low Power Band-to-Band Tunneling Neurons

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    Large spiking neural networks (SNNs) require ultra-low power and low variability hardware for neuromorphic computing applications. Recently, a band-to-band tunneling-based (BTBT) integrator, enabling sub-kHz operation of neurons with area and energy efficiency, was proposed. For an ultra-low power implementation of such neurons, a very low BTBT current is needed, so minimizing current without degrading neuronal properties is essential. Low variability is needed in the ultra-low current integrator to avoid network performance degradation in a large BTBT neuron-based SNN. To address this, we conducted design space and variability analysis in TCAD, utilizing a well-calibrated TCAD deck with experimental data from GlobalFoundries 32nm PD-SOI MOSFET. First, we discuss the physics-based explanation of the tunneling mechanism. Second, we explore the impact of device design parameters on SOI MOSFET performance, highlighting parameter sensitivities to tunneling current. With device parameters' optimization, we demonstrate a ~20x reduction in BTBT current compared to the experimental data. Finally, a variability analysis that includes the effects of random dopant fluctuations (RDF), oxide thickness variability (OTV), and channel-oxide interface traps DIT in the BTBT, SS, and ON regimes of operation is shown. The BTBT regime shows high sensitivity to the RDF and OTV as any variation in them directly modulates the tunnel length or the electric field at the drain-channel junction, whereas minimal sensitivity to DIT is observed

    Investigation of the Combustion of Exhaust Gas Recirculation in Diesel Engines with a Particulate Filter and Selective Catalytic Reactor Technologies for Environmental Gas Reduction

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    The Diesel Engine, invented by the German engineer Rudolf Diesel, was a marvelous creation that changed the way the automobile industry worked. It is an internal combustion engine that compresses air to elevate its pressure and temperature so high that the atomized diesel fuel undergoes combustion almost instantaneously when it is sprayed into the combustion chamber. The Major advantage of a Compression Ignition (CI) engine compared to a Spark Ignition (SI) engine is the higher compression ratio achieved in the former, making it more efficient. This makes diesel engines more suitable for heavy-duty vehicles, which require more torque to overcome rough terrain

    Fabrication, Mechanical and Wear Properties of Aluminum (Al6061)-Silicon Carbide-Graphite Hybrid Metal Matrix Composites

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    In recent times, the use of aluminum alloy-based Hybrid Metal Matrix Composites (HMMCs) is being increased in aerospace and automotive applications. HMMCs compensate for the low desirable properties of each filler used. However, the mechanical properties of HMMCs are not well understood. In particular, microstructural investigations and wear optimization studies of HMMCs are not clear. Therefore, further studies are required. The present study is aimed at fabricating and mechanical and wear characterizing and microstructure investigating of Silicon Carbide (SiC) and Graphite (Gr) added in Aluminum (Al) alloy Al6061 HMMCs. The addition of SiC particles was in the range from 0 to 9 weight percentage (wt.%) in steps of 3, along with the addition of 1 wt.% Gr in powder form. The presence of alloying elements in the Al6061 alloy was identified using the Energy Dispersive X-Ray Analysis (EDX). The dispersion of SiC and Gr particles in the alloy was investigated using metallurgical microscope and Scanning Electron Microscopy (SEM). The gain in strength can be attributed to the growth in dislocation density. The nature of fracture was quasi-cleavage. The microstructure examination reveals the uniform dispersion of the reinforcement. Density, hardness, and Ultimate Tensile Strength values observed to be increased with increased contents of SiC reinforcement. Besides, wear studies were performed in dry sliding conditions. Optimization studies were performed to investigate the effect of parameters that affecting the wear. The sliding wear resistance was noticed to be improved concerning higher amounts of reinforcement leading to a decrease in delamination and adhesive wear. The predicted values for the wear rate have also been compared with the experimental results and good correlation is obtained
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