Intelligent approaches to performance support

Electronic performance support systems provide an important method of meeting on‐demand educational and training requirements. They also provide efficient and effective ways of enabling the knowledge and expertise within an organization to be shared. This paper discusses the design of a distributed electronic performance support system and the ways in which ‘intelligent agents’ based on expert systems and neural networks can be used to locate and share distributed expertise. A case study illustrating our approach to the implementation and use of intelligent agents is presented

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Europe In the Round CD‐ROM, Guildford, Vocational Technologies, 1994

A Cross - Sectional Study on Knowledge and Attitude Associated with Covid-19 among Undergraduates: An Institutional Survey in a Private Medical College

Background: Coronavirus Disease 2019 is a rapidly expanding pandemic caused by a novel human coronavirus (SARS-COV-2). An infection (COVID-19) without any specific cure makes the people more vulnerable to get affected due to insufficient knowledge and unhealthy practices. A poor understanding of the disease leading to rapid spread of infections.Aims: To assess the Knowledge and Attitude among undergraduates towards COVID-19 pandemic.Material & Methods:Study Design: Cross-sectional study. Study area:Dr.V.R.K Women’s Medical College, R.R district.TELANGANA. Study Period:3 months (1st September 2020 - 30th November 2020). Study population: Second year and Third year MBBS students joined in Dr.V.R.K Women’s Medical College. Sample size: All the second year and third year MBBS students who were available on online at the time of study. Study tools: A predesigned & pretested questionnaire was used for collecting the data after validating the questionnaire. Questionnaire was developed in English language. Statistical Analysis: The collected data was entered in Microsoft excel 2007 and analysed using SPSS version 20 software, trial version. Data was described in terms of mean ± standard deviation, frequencies as appropriate. The results were presented in the form of charts, graphs, etc. The statistical significance level was fixed at P < 0.05. Results: Overall the knowledge percentage was 86.1% among the study population.74.2% of the study population had correct knowledge regarding incubation period and symptoms

Kinetics and mechanism of the oxidative regeneration of carbonyl compounds from oximes by tetraamminecopper (II) permanganate

72-74The oxidative deoximination of several aldo- and keto-oximes by tetraamminecopper (II) permanganate (TACP), in aqueous acetic acid, exhibits a first order dependence each on both the oxime and TACP. Successive scanning of the reaction mixture has shown the presence of an excellent isosbestic point. The oxidation of ketoximes is slower than that of aldoximes. The rates of oxidation of aldoximes correlate well in terms of Pavelich-Taft dual substituent-parameter equation. The low positive value of polar reaction constant indicates a nucleophilic attack by a permanganate-oxygen on the carbon. The reaction is subject to steric hindrance by the alkyl groups. A mechanism involving the formation of a cyclic intermediate, in the rate-determining step, has been proposed

Kinetics and mechanism of the oxidative regeneration of carbonyl compounds from oximes by tetrabutylammonium tribromide

252-255The oxidative deoximination of several aldo- and keto-oximes by tetrabutylammonium tribromide (TBAT) in 1 : 1 (v/v) acetic acid-water exhibits a first order dependence on each the oxime and TBAT. The oxidation of ketoximes is slower than that of aldoximes. The rates of oxidation of aldoximes correlate well in terms of Pavelich-Taft dual substituent-parameter equation. The low positive value of polar reaction constant indicates a nucleophilic attack by a tribromide ion on the carbonyl carbon. The reaction is subject to steric hindrance by the alkyl groups. A mechanism involving the formation of a cyclic activated complex in the rate-determining step has been proposed

Assessment of non-invasive models for liver fibrosis in chronic hepatitis B virus related liver disease patients in resource limited settings

Context: A total of 350 million individuals are affected by chronic hepatitis B virus infection world-wide. Historically, liver biopsy has been instrumental in adequately assessing patients with chronic liver disease. A number of non-invasive models have been studied world-wide. Aim: The aim of this study is to assess the utility of non-invasive mathematical models of liver fibrosis in chronic hepatitis B (CHB). Indian patients in a resource limited setting using routinely performed non-invasive laboratory investigations. Settings and Design: A cross-sectional study carried out at a tertiary care center. Subjects and Methods: A total of 52 consecutive chronic liver disease patients who underwent percutaneous liver biopsy and 25 healthy controls were enrolled in the study. Routine laboratory investigations included serum aspartate aminotransferase (AST), Alanine aminotransferase (ALT), Gama glutamyl transpeptidase (GGT), total bilirubin, total cholesterol, prothrombin time and platelet count. Three non-invasive models for namely aspartate aminotransferase to platelet ratio index (APRI), Fibrosis 4 (FIB-4) and Forn′s index were calculated. Outcomes were compared for the assessment of best predictor of fibrosis by calculating the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of each index. Statistical Analysis Used: Medcalc online software and by Microsoft Excel Worksheet. Chi-square test was used for significance. P value < 0.05 was taken as significant. Results: While the serum levels of AST, ALT and GGT were significantly higher in patients group as compare with the healthy controls (P < 0.01), the platelet counts were significantly lower in patient group as compared to the control group (P < 0.01). Mean value of all 3 indices were significantly higher in patients group as compare with the controls (P < 0.01). Conclusions: Out of the three indices, APRI index with a NPV of 95% appeared to be a better model for excluding significant liver fibrosis while FIB-4 with a PPV of 61% showed fair correlation with significant fibrosis. Thus, these two non-invasive models for predicting of liver fibrosis, namely APRI and FIB-4, can be utilized in combination as screening tools in monitoring of CHB patients, especially in resource limiting settings