120 research outputs found

    Supervised Content based Image Retrieval using Fuzzy Texton and Shearlet Transform

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    In this paper we proposed, a novel framework to assist and automate the diagnosis of diseases from computer-based image analysis method using Content-based image retrieval (CBIR). CBIR is the process of retrieving related images from large database collections by using low level image features such as color, texture and shape etc. we have used fuzzy texton and discrete shearlet transform to extract texture and shape features. The aim is to support decision making by retrieving and displaying relevant past cases visually similar to the one under examination with relevance feedback using Support Vector Machines

    Job Recommendation System Using Deep Reinforcement Learning (DRL)

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    The rapid growth of online job portals and the increasing volume of job listings have made it challenging for job seekers to efficiently navigate through the vast number of available opportunities. Job recommendation systems play a crucial role in assisting users in finding relevant job opportunities based on their skills, preferences, and past experiences. This research paper proposes a job recommendation system that leverages deep learning techniques to enhance the accuracy and effectiveness of job recommendations. The system utilizes advanced algorithms to analyses user profiles, job descriptions, and historical data to generate personalized job recommendations. Experimental evaluations demonstrate the superiority of the proposed system compared to traditional recommendation methods, thereby improving the job search process for both job seekers and employers. This paper provides Job recommendation system using Deep Reinforcement Learning (DRL)

    Ground water pollution due to aquaculture in east coast region of Nellore district, Andhrapradesh, India

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    Ground water quality parameters were studied for pollution due to aquaculture in the east coast region of district Andhrapradesh, India. Over a period of two years, 46 groundwater samples were collected for analyses. The results showed that the alkalinity ranged from 120 - 482 mg/L, and pH ranged from 7.1 to 8.6. The chloride concentration ranged from 65 – 4950 mg/L, Dissolved Oxygen (DO) was 2 to 8.4 mg/L, and Biochemical Oxygen Demand was 3 to 23 mg/L. Conductivity ranged from 68 to 8200 umho/cm. Approximately 86 % of water samples exceed the international chloride standards for drinking water (200 – 250 mg/L). The Dissolved Oxygen (DO) concentration was within the acceptable standards of 6 mg/L. The DO concentration of the ground water satisfied the DO requirement for aquaculture. However, open well number 12 has less (3.1 mg/ml), potentially indicating contamination from aquaculture farm effluents. Low concentrations of Dissolved Oxygen in nearby well water provided further evidence that these wells are contaminated with biodegradable organic compounds. The effect of aqua farms on the ground water quality was discussed in line with public health standard.Key words: Ground water pollution, aquaculture, water quality, physical-chemical, Parameters

    Effects of NH4 +-N/ NO3 --N ratios on growth, nitrate uptake and organic acid levels of spinach (Spinacia oleracea L.)

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    The objective of this investigation was to study the effects of NH 4 +-N/ NO3 --N ratios on the growth of spinach, the nitrate and organic acids contents of spinach fresh shoot. A completely randomized design was established as 5 treatments, that is, NH4 +-N/ NO3 --N ratio of 100/075/25, 50/50, 25/75 and 0/100, the total N concentration was 12 mmol l-1. Each treatment had 3 replications, results showed that the spinach biomass significantly (P = 0.05) decreased as the NH4 +-N/ NO3 --N ratio was above 50:50 in nutrient solution. Spinach supplied with NO3 --N as its sole nitrogen source had the highest biomass, but there was no notable difference (P = 0.05) in dry matter weight between 25: 75 and 0:100 of NH4 +-N/ NO3 -- N ratio. A strongly (r = 0.9826) positively linear relationship was found between the nitrate content of spinach fresh shoots and the proportion of NO3 --N in total nitrogen. When the NH4 +-N/ NO3 --N ratios was decreased from 100:0 to 0:100, the pyruvate, citrate, succinate, fumarate contents were all increased gradually and the malate content was highest at NH4 +-N/ NO3 --N ratio of 25:75. The water soluble oxalate content of the spinach fresh shoot at either NH4 +-N or NO3 --N as sole nitrogen resource, was higher than other combinations of NO3 --N and NH4 +-N and, for example, the soluble oxalate content was significantly (p = 0.05) decreased by 8% when 25% of NO3 --N was replaced by NH4 +-N. In conclusion, some replacement of NO3 --N by NH4 +-N could improve the spinach quality while the dry biomass was not significantly affected

    Human CD4+ Memory T Cells Can Become CD4+IL-9+ T Cells

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    Background: IL-9 is a growth factor for T- and mast-cells that is secreted by human Th2 cells. We recently reported that IL-4+TGF-β directs mouse CD4+CD25−CD62L+ T cells to commit to inflammatory IL-9 producing CD4+ T cells. Methodology/Principal Findings: Here we show that human inducible regulatory T cells (iTregs) also express IL-9. IL-4+TGF-β induced higher levels of IL-9 expression in plate bound-anti-CD3 mAb (pbCD3)/soluble-anti-CD28 mAb (sCD28) activated human resting memory CD4+CD25−CD45RO+ T cells as compared to naïve CD4+CD25−CD45RA+ T cells. In addition, as compared to pbCD3/sCD28 plus TGF-β stimulation, IL-4+TGF-β stimulated memory CD4+CD25−CD45RO+ T cells expressed reduced FOXP3 protein. As analyzed by pre-amplification boosted single-cell real-time PCR, human CD4+IL-9+ T cells expressed GATA3 and RORC, but not IL-10, IL-13, IFNγ or IL-17A/F. Attempts to optimize IL-9 production by pbCD3/sCD28 and IL-4+TGF-β stimulated resting memory CD4+ T cells demonstrated that the addition of IL-1β, IL-12, and IL-21 further enhance IL-9 production. Conclusions/Significance: Taken together these data show both the differences and similarities between mouse and human CD4+IL9+ T cells and reaffirm the powerful influence of inflammatory cytokines to shape the response of activated CD4+ T cells to antigen

    BIOBURDEN (QUALITY) OF DIFFERENT DRINKING WATER SAMPLES

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    ABSTRACT The bacteriological quality of various drinking water samples of treated pipe-borne (tap) water, borehole water and well water collected from five (5) locations within "Town" Area of Port Harcourt in Nigeria was evaluated using the standard plate count method and the most probable number (MPN) technique. The temperature and pH mean values recorded ranged from 22.2°C ± 1.48°C to 23.4°C ± 1.95°C and from 7.16 ± 0.055 to 7.36 ± 0.055 respectively. Total aerobic heterotrophic bacterial counts ranged from 7.72 x 10 3 cfu/ml ± 6.42 x 10 3 cfu/ml to 12.2 x 10 3 cfu/ml ± 7.29 x 10 3 cfu/ml. While the total coliform and faecal coliform MPN index/100ml ranged from 0 to 1800+ and from 0 to 900 respectively. Analysis of variance (ANOVA) using F-test showed that there was significant difference at p ≤ 0.01 in pH and in faecal coliform MPN and at p≤0.05 in the other parameters determined. The bacteria isolated include Chromobacterium spp., Corynebacterium spp., Escherichia coli, Enterobacter spp., Klebsiella spp., Salmonella spp., Shigella spp., Staphylococcus spp., Streptococcus spp., and their percentages ranged from 5% to 15%. The order of decreasing bacteriological quality of samples is treated tap water > borehole water > well water. The presence of E. coli and enteric pathogens such as Shigella, Enterobacter etc., indicated the contamination of the various water sources with faecal matter implying that they are not suitable for drinking

    GLABRIDIN FROM CHINESE HERB LICORICE INHIBITS FATIGUE IN MICE

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    The inhibiting effect of glabridin from Chinese herb Licorice on fatigue was investigated in male BALB/c mice. Mice were divided into the following 4 experimental groups: control group (CG), low dose group (LG), middle dose group (MG) and high dose group (HG,). The control group was given 0.5% Tween 80 solution and the treatment groups (LG, MG, HG) were given various doses of glabridin (5, 10, 20 mg/kg) for 28 consecutive days. Body mass, blood lactic acid (BLA), serum blood urea nitrogen (BUN), liver glycogen and muscle glycogen concentrations in mice were determined. Results showed that glabridin significantly inhibited fatigue, which extended the exhaustive exercise time of mice, effectively delayed the elevation of blood lactic acid and increase in the storage of liver and muscle glycoge

    The Role of TNF-α in Mice with Type 1- and 2- Diabetes

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    Background: Previously, we have demonstrated that short-term treatment of new onset diabetic Non-obese diabetic (NOD) mice, mice that are afflicted with both type 1 (T1D) and type 2 (T2D) diabetes with either Power Mix (PM) regimen or alpha1 antitrypsin (AAT) permanently restores euglycemia, immune tolerance to self-islets and normal insulin signaling. Methodology and Principal Findings: To search for relevant therapeutic targets, we have applied genome wide transcriptional profiling and systems biology oriented bioinformatics analysis to examine the impact of the PM and AAT regimens upon pancreatic lymph node (PLN) and fat, a crucial tissue for insulin dependent glucose disposal, in new onset diabetic non-obese diabetic (NOD) mice. Systems biology analysis identified tumor necrosis factor alpha (TNF-α\alpha) as the top focus gene hub, as determined by the highest degree of connectivity, in both tissues. In PLNs and fat, TNF-α\alpha interacted with 53% and 32% of genes, respectively, associated with reversal of diabetes by previous treatments and was thereby selected as a therapeutic target. Short-term anti-TNF-α\alpha treatment ablated a T cell-rich islet-invasive and beta cell-destructive process, thereby enhancing beta cell viability. Indeed anti-TNF-α\alpha treatment induces immune tolerance selective to syngeneic beta cells. In addition to these curative effects on T1D anti-TNF-e33254 treatment restored in vivo insulin signaling resulting in restoration of insulin sensitivity. Conclusions: In short, our molecular analysis suggested that PM and AAT both may act in part by quenching a detrimental TNF-α\alpha dependent effect in both fat and PLNs. Indeed, short-term anti-TNF-α\alpha mAb treatment restored enduring euglycemia, self-tolerance, and normal insulin signaling

    IL-33 Induces IL-9 Production in Human CD4+ T Cells and Basophils

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    IL-33, an IL-1 family member and ligand for the IL-1 receptor-related protein ST2, has been associated with induction of Th2 cytokines such as IL-4, IL-5, and IL-13. Here, we report that IL-33 can initiate IL-9 protein secretion in vitro in human CD4+ T cells and basophils isolated from peripheral blood. TGF-β has been described as a critical factor for IL-9 induction in Th2 cells; however, we found that TGF-β also induces co-production of IL-9 in purified, naïve (>99%) CD4+CD45RA+CD45RO−CD25− T cells differentiated towards a Th1 profile. Subsequently, it was demonstrated that TGF-β is important, although not an absolute requirement, for IL-9 production in CD4+ T cells. IL-9 production by purified (>95%) human basophils, cultured for 24 h with IL-3 or IL-33, was found, with a strong synergy between the two, likely to be explained by the IL-3 upregulated ST2 expression. Collectively, these data indicate that barrier functioning cells are important for the regulation of IL-9 production by immune cells in inflamed tissue
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