Spatial Decision Support System for Animal Diseases

in this paper, a Spatial Decision Support System (SDSS) was presented to help decision makers in the decision making process. The proposed spatial decision support system utilizes the capabilities of Geographic Information System (GIS), Data warehouse and Online Analytical Processing (OLAP) to provide decision makers with their needed information about the infected animals, infected places and diseases outbreaks. This information is displayed as reports or charts or allocated in a map which illustrates the most and the least affected places in an easy and fast way.so that, decision makers can take the right decision to control the spread of diseases outbreaks. The proposed SDSS consists of three databases namely: TADinfo, BOVIS and Climate databases. Data warehouse generated from integrating those three databases and diagnosis data mart is subset of that data warehouse. OLAP capabilities integrated with data warehouse to enable decision makers browse diagnosis data from different views and generate needed reports and charts. The proposed SDSS enhanced with GIS capabilities to make various spatial analysis on diagnosis data and visualize the results as maps. The experimental results show that the proposed system can provide the decision makers with their needed information in a fast and easy way

NONPARAMETRIC TEST FOR UBACT CLASS OF LIFE DISTRIBUTION BASED ON U-STATISTIC

Based on U-statistic, testing exponentially versus used better than aged in convex tail ordering (UBACT) class of life distribution is introduced for complete and cen-sored data. Convergence of the proposed statistic to the normal distribution is proved. Selected critical values are tabulated for sample sizes 5(5)80 for complete data, and (61)(10)(201) for censored data: The Pitman asymptotic relative e¢ ciency of the pro- posed tests to the other classes is studied. A numerical examples in medical science demonstrates practical application of the proposed test

Molecular study of Helicobacter pylori virulence genes CagA, Hpa and BabA2 in Egyptian patients

Objective: The objective of this study was to detect virulence genes of Helicobacter pylori (H.pylori) cagA, babA2 and hpa in gastric biopsies from patients with different stages of gastritis by polymerase chain reaction to correlate the presence of genes with the severity of the diseases.Method: A total of 80 non repetitive gastric biopsies from antrum of the stomach were obtained from the patients and subjected to study for histological examination, unease activity, culture for H.pylori, and polymerase chain reaction studies of virulence genes cagA, babA2 and hpa.Results: The most frequent detected gene by PCR was hpa (66.7%) and followed by cagA and babA2 (61.6%) for each. There was significant association between the three genes (P=0.0001). The study of the association between the virulence gene of H.pylori and different clinical symptoms revealed significant association of dyspepsia with cagA(P=0.001) babA2 and hpa (P=0.0001), regurgitation with cagA and babA2( P=0.002),vomiting with cagA and babA2 (P=0.01, P=0.002, respectively) and nausea with cagA and babA2 (P=0.0001, P=0.03, respectively). The virulence genes were detected in gastric ulcer. The degree of inflammation in histopathological examination was also statistically significant associated with the presence of virulences genes cagA (P=0.01), babA2 (p=0.0001) and hpa (P=0.0001)The present study highlights the presence of virulence genes in H.pylori associated with gastric ulcer. The genes cagA, babA2 and hpa are prevalent among the strains affecting the patients. Moreover, these genes are associated with marked clinical and pathological severity. The genes are significantly associated with each other. Further studies are recommended to validate these findings.Keywords: Gastritis, Genotypes, H.pylori, cagA, babA2, hpa, PC

HLA-DRB1 alleles in children with post-streptococcal acute glomerulonephritis

To investigate the association between HLA-DRB1 alleles and post-streptococcal acuteglomerulonephritis (PSAGN), 32 children withPSAGN and 380 healthy subjects from the samelocality were typed for DRB1alleles usingpolymerase chain-reverse hybridization technique.Patients with PSAGN have significantly increasedfrequency of both DRB1* 03011 (46.9 vs. 19.2% incontrols, P = 0.00025) and DRB1* 1105 (31.1 vs.15.6% in controls, P = 0.0097). However, aftercorrection of P values, only the difference for DRB1*03011 remains significant (P = 0.025). Their relativerisks are significantly high [3.71, confidence interval(Cl) = 1.8-7.8, and 3.57, Cl = 1.4-8.9 respectively].No significant differences in the frequency of bothalleles arc observed among patients with differentgrades of hypertension, proteinuria or hematuria.Conclusions: DRB1* 03011, and presumably 1105,alleles confer susceptibility to PSAGN. However theseverity of the disease is not determined by these twoalleles

TOMATO DISEASE DETECTION MODEL BASED ON DENSENET AND TRANSFER LEARNING

Plant diseases are a foremost risk to the safety of food. They have the potential to significantly reduce agricultural products quality and quantity. In agriculture sectors, it is the most prominent challenge to recognize plant diseases. In computer vision, the Convolutional Neural Network (CNN) produces good results when solving image classification tasks. For plant disease diagnosis, many deep learning architectures have been applied. This paper introduces a transfer learning based model for detecting tomato leaf diseases. This study proposes a model of DenseNet201 as a transfer learning-based model and CNN classifier. A comparison study between four deep learning models (VGG16, Inception V3, ResNet152V2 and DenseNet201) done in order to determine the best accuracy in using transfer learning in plant disease detection. The used images dataset contains 22930 photos of tomato leaves in 10 different classes, 9 disorders and one healthy class. In our experimental, the results shows that the proposed model achieves the highest training accuracy of 99.84% and validation accuracy of 99.30%

The Impact of Different Irrigation Regimens on the Chemical Structure and Cleanliness of Root Canal Dentin

Introduction: This in vitro study aimed to evaluate the effect of different irrigation regimens on the chemical composition and cleanliness of root canal dentin. Materials and Methods: Forty-eight extracted single-rooted permanent human teeth were collected. Root canals were instrumented using step-back technique up to master apical file size 60. Samples were divided into 3 groups (n=16) based on the type of the irrigant used. The irrigation solutions were 5.25% sodium hypochlorite, 2% chlorhexidine gluconate, and saline solution as a control. Root canal cleanliness was assessed using stereomicroscope and scanning electron microscope. Scanning electron microscope energy dispersive X-ray was used for the inorganic analysis. Fourier transform infrared spectrometer was used for the organic analysis.  One-way analysis of variance (ANOVA) and multiple comparison post hoc test were used for comparison between the three groups. Results: The highest mean percentage of remaining debris was in saline group followed by chlorhexidine gluconate group. Sodium hypochlorite group showed the lowest mean value of remaining debris. Furthermore, our results showed that canal irrigation with sodium hypochlorite affected the chemical structure of root canal dentin more than chlorhexidine gluconate. Conclusions: Based on the results, 5.25% sodium hypochlorite emerges as the preferred irrigant for root canal treatment. This research sheds light on the significance of irrigation regimens in endodontics and emphasizes the need for careful consideration of irrigant selection in clinical practice

Staphylococcus aureus nasal carriage among outpatients attending primary health care centers: a comparative study of two cities in Saudi Arabia and Egypt

AbstractEpidemiological and molecular data on community acquired methicillin resistant Staphylococcus aureus (CA-MRSA) are still scarce in both Egypt and Saudi Arabia. There is almost no data regarding methicillin resistant Staphylococcus aureus (MRSA) prevalence in both countries. This study was conducted to investigate the prevalence and molecular epidemiology of S. aureus and MRSA nasal carriage among outpatients attending primary health care centers in two big cities in both countries. A total of 206 nasal swabs were obtained, 103 swabs from each country. S. aureus isolates were characterized by antibiotic susceptibility, presence of mecA and PVL genes, SCCmec-typing and spa typing, the corresponding Multi locus sequence typing clonal complex was assigned for each spa type based on Ridom StaphType database. MRSA was detected in 32% of the Egyptian outpatients while it was found in 25% of the Saudi Arabian outpatients. All MRSA isolates belonged to SCCmec type V and IVa, where some isolates in Saudi Arabia remained nontypeable. Surprisingly PVL+ isolates were low in frequency: 15% of MRSA Egyptian isolates and 12% of MRSA isolates in Saudi Arabia. Two novel spa types were detected t11839 in Egypt, and t11841 in Saudi Arabia. We found 8 spa types among 20 isolates from Egypt, and 12 spa types out of 15 isolates from Saudi Arabia. Only two spa types t008 and t223 coexisted in both countries. Four clonal complexes (CC5, CC8, CC22, and CC80) were identified in both Egypt and Saudi Arabia. However, the data collected lacked a representation of isolates from different parts of each country as only one health center from each country was included, it still partially illustrates the CA-MRSA situation in both countries. In conclusion a set of control measures is required to prevent further increase in MRSA prevalence

Synthesis and antitumor activity of novel pyrazolo[1,5-a]pyrimidine derivatives

A novel series of pyrazolo[1,5-a]pyrimidine-3-carbonitriles substituted with 7-amino, 7-substituted amino and 5-substituted amino groups was synthesized. Some of the newly synthesized compounds were tested in vitro on human colon tumor cell line (HCT116). Compound 14a displayed the highest activity among the tested compounds with IC50 that equals to 0.0020 μM

Prevalence of Helicobacter pylori infection among children with primary nephrotic syndrome: a cross-sectional study

Background: Limited data are available about the prevalence of helicobacter pylori (H.pylori) infection among primary NS children. Objectives: To assess the frequency and risk factors of H.pylori infection among children with primary NS. Methods: A cross-sectional study was carried out in Mansoura University Children\u2019s Hospital, Egypt during the period from 2017 to 2019 including 100 NS children (NS group) and 100 healthy controls. NS group included 88 steroid sensitive (SSNS) and 12 steroid resistant (SRNS) cases. All patients were assessed for H.pylori infection using H.pylori stool antigen (HpSA) test. Statistical analysis was done using chi-square, fisher exact and Mann-Whitney tests. Results: With regard to HpSA test results, no significant differences were detected between control and NS groups (p = 0.193) and between SSNS and SRNS groups (p = 0.286). Concerning total biopsied cases and MCD (proven plus presumed) cases, no significant differences were found between those with positive and negative HpSA test (p = 0.648 and 0.126, respectively). The high dose of steroid therapy was associated with a higher risk of H.pylori infection among NS group (Odds ratio = 3.8; 95% confidence interval = 1.3-11.3). Conclusion: The current study negates the increased risk of H.pylori infection in children with primary NS

Evaluation of tritium production rate in a blanket mock-up using a compact fusion neutron source

We report a neutronics study of a blanket mock-up using a discharge-type compact fusion neutron source. Deuterium–deuterium fusion neutrons were irradiated to the mock-ups composed of tritium breeder and neutron reflector/moderator. The tritium production rate (TPR) per source neutron was measured by a single-crystal diamond detector with a 6Li-enriched lithium fluoride film convertor after the calibration process. Despite the low neutron yield, energetic alpha and triton particles via 6Li(n, t)α neutron capture as well as 12C via elastic scattering were successfully detected by the SDD with high signal to noise ratios. The TPRs were experimentally evaluated with errors of 8.4%–8.5% at the 1σ level at the positions with high thermal neutron fluxes where the errors were dominantly introduced by uncertainties in the monitoring of the neutron production rate. The calculated to experimental (C/E) values of TPR were evaluated to be 0.91–1.27 (FENDL-2.1) and 0.94–1.28 (FENDL-3.1). As the neutron source can generate 14 MeV neutrons using a mixed gas of deuterium and tritium, this approach provides more opportunities for blanket neutronics experiments