299 research outputs found

    Biological Control Of Mycotoxigenic Fungi And Associated Mycotoxins By The Application Of Bacterial And Yeast Antifungal Compounds

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    Mycotoxins are secondary metabolites of mycotoxigenic fungi and are considered as a serious threaten to the life of humans and animals, since some of these mycotoxins are carcinogenic compounds. In this M.Sc research project, we demonstrated that the low fermenting yeast L. thermotolerans 751 has a great antifungal potential through the synthesis of Volatile Organic Compounds (VOC) that are able to act against the mycotoxigenic fungi and the synthesis of their mycotoxins. L. thermotolerans 751 has also shown a great adsorption potential to mycotoxins in in-vitro experiments. In addition, these VOCs were applied in in-vitro experiments to inhibit the fungal growth and spores’ germination and protection of fungi inoculated tomato fruit, for more than one month. On the other hand, our second biocontrol agent, the Qatari bacterial strain Burkholderia cepacia (QBC03) has shown a broad antifungal spectrum and a very efficient inhibition of the synthesis of mycotoxins.This research work was made possible by the sponsorship of Qatar National Research Foundation; NPRP grant #8-392-4-00

    Virtual Machines Embedding for Cloud PON AWGR and Server Based Data Centres

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    In this study, we investigate the embedding of various cloud applications in PON AWGR and Server Based Data Centres

    ANN for English Alphabet Prediction

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    Abstract: In this paper an Artificial Neural Network (ANN) model, for predicting the Letters from twenty dissimilar fonts for each letter. The character images were, initially, based on twenty dissimilar fonts and each letter inside these twenty fonts was arbitrarily distorted to yield a file of 20,000 distinctive stimuli. Every stimulus was transformed into 16 simple numerical attributes (arithmetical moments and edge amounts) which were then ascended to be suitable into a range of numeral values from 0 to 15. We naturally chose, arbitrarily, 1,000 distinctive stimuli for this research. We made certain that the scattering remnants the similar after selecting the one thousand stimuli. In this research, a neural network tool (Just NN) was used for the purpose of predicting to classify every of a huge number of black and white four-sided pixel displays as one of the 26 capital letters in the English language

    Chest Pain in Infants and Children Expert System

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    Chest pain is the pain felt in the chest by infants, children and adolescents. In most cases the pain is not associated with the heart. It is mainly recognized by the observance or report of pain by the infant, child or adolescent by reports of distress by parents or care givers. Chest pain is not unusual in children. Lots of children are seen in ambulatory clinics, emergency rooms and hospitals and cardiology clinics. Usually there is a benign cause for the pain for utmost children. Certain patients have conditions that are serious and perhaps life-threatening. Chest pain in pediatric patients needs careful physical examination and a detailed history that would point to the possibility of a serious cause. Researches of pediatric chest pain are scarce. It has been difficult to create evidence-based guidelines for evaluation. In this paper we propose an expert system to help doctors and parents, and care giver in diagnosing chest pain in infants and children. This expert System is design and implemented in SL5 Object language

    Pelaksanaan Musyawarah Perencanaan Pembangunan Desa (Studi Kasus Desa Pekan Heran Kecamatan Rengat Barat Kabupaten Indragiri Hulu Tahun 2014)

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    Participation or involvement society in politics are the form of democracy in a country, the one of that democracy is a Musrenbang from the village to the national level. Musrenbang would be successful if all the delegation of society involve to participate and the process of implementation could be appropriate as Musrenbang principle in Kepmendagri No.050-187 / Kep / Bangda / 2007, there are equality, discussion, alignments, anti-domination, anti-discrimination, development village holistically. This research aims to investigate the implementation of Village Musrenbang in Pekan Heran Village already appropriate of the principles in Kepmendagri Musrenbang No.050-187 / Kep / Bangda / 2007.This research is a qualitative research is conducted with a descriptive approach. The technique of this research is using purposive sampling with 14 informants. The methods of data collection using interview techniques, and documentation.The technique of the data analysis is using triangulation.Based on the research results of the stages of the implementation of the Village Musrenbang Pekan Heran in 2014 is an appropriate conformity with as established, but a society participation in the activities of the Village Musrenbang low levels, because a society lack of education, social and economic, as well as the lack of socialization of village appliance, and the process of implementation Musrenbang Pekan Heran Village in 2014 is in appropriate yet with the principles Musrenbang in Kepmendagri No.050-187 / Kep / Bangda / 2007 in the principle of anti-domination, and holistic development.Keywords: Rural planning, Participate of Society, and Musremban

    Driving licensing renewal policy using neural network-based probabilistic decision support system

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    This paper investigates neural network-based probabilistic decision support system to assess drivers' knowledge for the objective of developing a renewal policy of driving licences. The probabilistic model correlates drivers' demographic data to their results in a simulated written driving exam (SWDE). The probabilistic decision support system classifies drivers' into two groups of passing and failing a SWDE. Knowledge assessment of drivers within a probabilistic framework allows quantifying and incorporating uncertainty information into the decision-making system. The results obtained in a Jordanian case study indicate that the performance of the probabilistic decision support systems is more reliable than conventional deterministic decision support systems. Implications of the proposed probabilistic decision support systems on the renewing of the driving licences decision and the possibility of including extra assessment methods are discussed

    Diagnostic utility of leptin and insulin-like growth factor binding protein-2 in hepatocellular carcinoma of diabetic and non-diabetic Egyptian patients

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    Purpose: To elucidate the possible diagnostic utility of adipokines and insulin growth factor binding proteins in hepatocellular carcinoma (HCC) diabetic subjects.Methods: Seventy five patients were divided equally into 3 groups as follows: healthy normal control (NC), non-diabetic hepatocellular carcinoma (HCC) and diabetic hepatocellular carcinoma (HCC-DM). Serum levels of leptin, insulin growth factor binding protein-2 (IGFBP-2) and alpha fetoprotein (AFP) were measured. Correlation and receiver operating characteristics (ROC) analysis was carried out.Results: HCC and HCC-DM groups showed changes in body mass index (BMI, p > 0.05 and p < 0.001 respectively), glucose, insulin, homeostatic model assessment-insulin resistance (HOMA-IR), liver function tests and AFP (p < 0.001). Leptin levels increased significantly in both HCC and HCC-DM (p < 0.001). Furthermore, IGFBP-2 showed significant increase in both groups (p < 0.001). Both leptin and insulin-like growth factor binding protein-2 (IGFBP-2) displayed significant positive correlation with AFP (p < 0.001). ROC analysis indicate different diagnostic accuracies for the tested markers for the various groups.Conclusion: Leptin and IGFBP-2 demonstrate significant potentials as diagnostic tools for HCC patients, especially diabetic cases, with IGFBP-2 displaying the highest diagnostic accuracy for HCC and HCC-DM groups.Keywords: Hepatocellular carcinoma, Diabetes mellitus, Leptin, Insulin-like growth factor-binding proteins-2, Adipokine

    Immobilization of glucose isomerase onto radiation synthesized P(AA-co-AMPS) hydrogel and its application

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    AbstractIsomerization of glucose to fructose was carried out using Glucose isomerase (GI) that immobilized by entrapment into Poly(acrylic acid) P(AA) and Poly(acrylic acid-co-2-Acrylamido 2-methyl Propane sulfonic acid) P(AA-co-AMPS) polymer networks, the enzyme carriers were prepared by radiation induced copolymerization in the presence of (Methylene-bisacrylamide) (MBAA) as a crosslinking agent. The maximum gel fraction of pure P(AA) and P(AA-co-AMPS) hydrogel was found to be 95.2% and 89.6% for P(AA) and P(AA-co-AMPS), respectively at a total dose of 20 kGy. Effects of immobilization conditions such as radiation dose, MBAA concentration, comonomer composition and amount of GI were investigated. The influence of reaction conditions on the activity of immobilized GI were studied, the optimum pH value of the reaction solution is 7.5 and reaction temperature is 65 °C. The immobilized GI into P(AA-co-AMPS) and P(AA) polymer networks retained 81% and 69%, respectively of its initial activity after recycled for 15 times while it retained 87% and 71%, respectively of its initial activity after stored at 4 °C for 48 days. The Km values of free and immobilized GI onto P(AA-co-AMPS) and onto P(AA) matrices were found to be 34, 29.2 and 14.5 mg/mL, respectively while the Vmax Values calculated to be 3.87, 1.6 and 0.79 mg/mLmin, respectively. GI entrapped into P(AA-co-AMPS) hydrogel show promising behavior that may be useful as the newly glucose isomerase reactor in biomedical applications

    Supportive Measures in the Treatment of Aluminum Phosphide Poisoning as a Trial to Reduce Mortality at Assiut University Hospital, Egypt

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    Aluminum phosphide (AlP) poisoning is a major problem, accounting for many Emergency Unit visits and hospitalization with increasing incidence of AlP toxicity in the last few years. In spite of the progress achieved in the field of toxicology and associated therapies, AlP is still responsible for a high rate of mortality due to the rapid onset of life-threatening symptoms, ineffective treatment and inadequate data on the efficacy of therapeutic interventions. AlP poisoning is a serious medical emergency demanding early and adequate management. In this prospective study of AlP toxicity, 44 patients admitted to emergency unit of Assiut university hospital in the period from 1st January to 30th June 2016 were included. There were 28 males (68.2%) and 16 females (31.8%). The majority of the cases were in the age group from 21 to 30 years (n=28, 54.6%). Thirty-six (81.8%) of admitted patients were from rural areas. Suicidal intake was the main mode of toxicity in 81.8% of cases. About 41% of the cases were shocked at their presentation and had metabolic acidosis. The mortality rate was 45.5%. The incidence of death in patients treated with N-acetyl cysteine to the incidence of death in non-treated patients was 1:12. AlP poisoning needs more attention due to associated fatality, the absence of an antidote, and a high number of youth victims. Supportive measures are vital in these patients. N-acetyl cysteine has a protective effect
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