Hefner G.,University Hospital Freiburg |
Shams M.E.E.,Mansoura University |
Shams M.E.E.,Muscat College |
Unterecker S.,University of Würzburg |
And 2 more authors.
Psychopharmacology | Year: 2016
Rationale: In psychiatric clinical practice, there is a need to identify psychotropic drugs whose metabolisms are prone to be altered with increased inflammatory activity in an individual patient. Objectives: The aim of this study was to find out whether elevated serum levels (≥5 mg/l) of C-reactive protein (CRP), an established laboratory marker of infection and inflammation, are associated with increased serum concentrations of the atypical antipsychotic drugs clozapine, quetiapine, and risperidone. Methods: Therapeutic drug monitoring request forms of patients whose antipsychotic drug concentrations had been measured under conditions of normal (<5 mg/l) and pathological (>5 mg/l) levels of C-reactive protein were retrospectively screened. The serum concentrations in relation to the daily doses [concentration per dose (C/D) (ng/mL/mg)] and the metabolic ratios [ratio of concentrations (metabolite/drug)] were compared intraindividually by the Wilcoxon signed rank test. To the study effects of the intensity of infections on drug concentrations, C-reactive protein and C/D levels were submitted to Spearman's correlation analysis. Results: Elevated levels of C-reactive protein were found in 105 patients. They were significantly associated with elevated values in C/D for clozapine (n = 33, P < 0.01) and risperidone (n = 40, P < 0.01). A trend for an increase was found for quetiapine (n = 32, P = 0.05). Median increases were 48.0 % (clozapine), 11.9 % (quetiapine), and 24.2 % (active moiety of risperidone), respectively. Conclusions: In patients who exhibit signs of inflammation or infection with increased C-reactive protein values during psychopharmacological treatment, especially under clozapine and risperidone, therapeutic drug monitoring is recommendable in order to minimize the risk of intoxications due to elevated drug concentrations. © 2015 Springer-Verlag.
Akram M.,Muscat College
IEEE Transactions on Fuzzy Systems | Year: 2013
This study describes a new approach, i.e., the intuitionistic fuzzy success index method, for human reliability estimation using intuitionistic fuzzy sets. In our study, two offshore platform muster scenarios, i.e., "man overboard" and "gas release," were considered as an assessing and a reference task, respectively. Herein,we aggregated the weightings and ratings of various performance shaping factors concerned with "man overboard" to obtain the intuitionistic fuzzy success index (IFSI) of the assessing task. Thereafter, we considered the pooled discrete intuitionistic fuzzy subset of the IFSI as the causal event and the known human reliability as the resultant event.Using this,we generate an intuitionistic fuzzy relation between the two events of the concerned task. The composition of the discrete intuitionistic fuzzy subset of the IFSI and the intuitionistic fuzzy relation gave the human reliability in the assessing task man overboard.© 2013 IEEE.
Jonathan K.H.,Muscat College |
Suvarna Raju P.,Muscat College
International Journal of Civil Engineering and Technology | Year: 2017
Rainfall and temperature are important parameters that determine the climatic condition of a region andis a growing concern in the current situation. Growing industrialization and increasing use of fossil fuels are putting pressure and effecting the regional and global temperatures that are subsequently influencing the overall precipitation levels. GCC and Arab countries are mostly dominated by dry climate and hot winds for most part of the year with little or no rainfall in most regions. In Middle east, specifically GCC countries economy depends on oil and gas production, processing, and exports, and these resources are used for electricity generation across all the six countries. This practice invariably is releasing more of greenhouse gases coupled with industrial emissions annually from industrialized zones. Among the six GCC nations, Oman has the second largest land area next to Saudi Arabia and has significant quantities of oil and gas resources and limited ground water resources. Scarcity of ground water poses serious problems for farming and potable water that cannot be supported by scanty or less rainfall annually. In absence of considerable data on rainfall pattern and temperature deviations, this paper is focused to highlight the rainfall scenario over temperature changes by studying the rainfall patterns over three designated regions for a certain duration. In Oman rainfall patterns and temperatures are stimulated by the weather changes and mostly by heavy industrialization in the recent past. Precipitation data and temperature profiles are two dependent parameters that are analyzed to achieve the objectives of the study. Regression analysis is performed to understand the trend in the rainfall pattern with changes in temperature in the three designated regions of Oman using the data of 14 years. The study revealed significant outcomes indicating distinct relationship between rainfall and temperature. Changing ambient temperatures in each region has shown to influence the rainfall pattern differently in Muscat region contrasting the Maseira and Sur region of the study area. The trend in rainfall pattern with one unit temperature variations are not uniform across all the three study regions that show apparent variations due the differently contributing factors such as topography, wind speed, direction, mountain ranges, relative humidity, and proximity to sea etc. that would govern the precipitation rates. © IAEME Publication.
Ismail M.Y.M.,Muscat College
International Journal of Pharmacy and Pharmaceutical Sciences | Year: 2010
Plants are always an exemplary source of drugs; in fact many of the currently available drugs were derived either directly or indirectly from them. In the past decade, research has been focused on scientific evaluation of traditional drugs of plant origin for the treatment of various diseases. Since the time immemorial, various herbs are used as antiasthmatic with efficient therapeutic response. Examples of various herbs used in asthma are Adhatoda vasica, Albizzia lebbeck, Artemicia caerulenscens, Boswellia serrata, Calotropis gigantea, Calotropis procera, Cedrus deodara, Clerodendron serratum, Curcuma longa, Eugenia caryophylis, Eleocarpus spharicus, Inula racemosa, Ocimum sanctum, Picrorrhiza kurroa, Piper longum, Sarcostemma brevistigma, Solanum xanthocarpum, Tephrosia purpurea, Tinospora cordifolia, Tylophora asthmatica, Vitex negundo etc. An attempt has been made to review antiasthmatic medicinal plants in the present article.
Tahir M.,Muscat College |
Mahmood K.,University of Punjab |
Shafique F.,Islamia University of Bahawalpur
Electronic Library | Year: 2010
Purpose - The purpose of this paper is to assess the use of electronic information resources and facilities by humanities scholars at the University of the Punjab, Lahore, Pakistan. Design/methodology/approach - A questionnaire survey of faculty from arts and humanities departments at the University of the Punjab was conducted. In total, 62 faculty and research staff participated. Findings - The results correspond with previous studies conducted in other countries. The humanists still stick to the printed information sources but they pay good attention to electronic resources. Most of them have access to computer and internet at office and home. They are regular users of a variety of electronic technologies. Although faced with many problems, the humanists perceive that modern technology made their work easier. Research limitations/implications - The study is based only on the humanities faculty in a large university of Pakistan. The survey should be replicated on a larger sample for generalization. Practical implications - Keeping in view the positive trend of humanists towards modern technology, universities and libraries should give more funding to provide electronic resources and facilities in the arts and humanities discipline. Special training programmes for humanists should be organized. Originality/value - This is the first study on this topic in Pakistan. The results can be useful to design services and facilities in humanities libraries and information centres in Pakistan and other developing countries. © Emerald Group Publishing Limited 0264-0473.
Sherif M.,United Arab Emirates University |
Kacimov A.,Muscat College |
Javadi A.,University of Exeter |
Ebraheem A.A.,Water and Dams Section
Water Resources Management | Year: 2012
Groundwater pumping from Kalbha and Fujairah coastal aquifer of the United Arab Emirates (UAE) has increased significantly during the last two decades to meet the agriculture water demands. Due to the lack of natural replenishment from rainfall and the excessive pumping, groundwater levels have declined significantly causing an intrusion of seawater in the coastal aquifer of Wadi Ham. As a result, many pumping wells in the coastal zone have been terminated and a number of farms have been abandoned. In this paper, MODFLOW was used to simulate the groundwater flow and assess the seawater intrusion in the coastal aquifer of Wadi Ham. The model was calibrated against a five-year dataset of historical groundwater levels and validated against another eleven-year dataset. The effects of pumping on groundwater levels and seawater intrusion were investigated. Results showed that reducing the pumping from Khalbha well field will help to reduce the seawater intrusion into the southeastern part of the aquifer. Under the current groundwater pumping rates, the seawater will continue to migrate inland. © 2011 Springer Science+Business Media B.V.
D'Souza M.S.,Sultan Qaboos University |
Karkada S.N.,Muscat College |
Somayaji G.,Goa University
Health and Quality of Life Outcomes | Year: 2013
Background: Women facing social and economic disadvantage in stressed communities of developing countries are at greater risk due to health problems. This paper investigates the relationships between structural, health and psychosocial predictors among women in mining and agricultural communities. This paper is a report of a study of the predictors of the health-related quality of life among Indian women in mining and agricultural communities.Methods: A descriptive cross-sectional research design was used. The instruments used are SF-36 Health Survey and Coping Strategy Checklist. ANOVA, MANOVA and GLM were used in the analysis. The study was conducted between January-September 2008 with randomly selected women in a mining (145) and an agricultural community (133) in India.Results: Women in the agricultural community had significantly increased Physical Health, Mental Health and SF36 scores compared with those in the mining community. Years of stay, education and employment were significant predictors among women in the agricultural community. 39% (33%) and 40% (26%) of the variance in Physical and Mental health respectively among women in agricultural and mining communities are predicted by the structural, health and psychosocial variables.Conclusion: Perceived health status should be recognised as an important assessment of Physical and Mental Health among women in rural stressed communities. Cognitive, emotional and behavioural coping strategies are significant predictors of health related quality of life. Implications. Nurses should use the SF-36 as a diagnostic tool for assessing health related quality of life among women and discuss coping strategies, so that these can target women's adaptive behaviour. This should be an essential part of the nursing process for facilitating adaptive process for improved health related quality of life. © 2013 D'Souza et al.; licensee BioMed Central Ltd.
Shermina J.,Muscat College
2011 IEEE GCC Conference and Exhibition, GCC 2011 | Year: 2011
Face recognition technology has evolved as an enchanting solution to perform identification and the verification of identity claims. By advancing the feature extraction methods and dimensionality reduction techniques in the pattern recognition applications, number of facial recognition systems has been produced with distinctive degrees of success. In this paper, we have presented the biometric face recognition approach based on Multilinear Principal Component Analysis (MPCA) and Locality Preserving Projection (LPP) which enhance performance of face recognition. The methodology of the approach consists of face image preprocessing, dimensionality reduction using MPCA, feature Extraction using LPP and face recognition using L2 similarity distance measure. The proposed approach is validated with FERET and AT&T database of faces and compared with the existing MPCA and LDA approach in performance. Experimental results show the effectiveness of the proposed approach for face recognition with good recognition accuracy. © 2011 IEEE.
Shermina J.,Muscat College
2011 International Conference on Emerging Trends in Electrical and Computer Technology, ICETECT 2011 | Year: 2011
Face recognition technology has evolved as a popular identification technique to perform verification of human identity. By using the feature extraction methods and dimensionality reduction techniques in the pattern recognition applications, a number of facial recognition systems has been produced with distinct measure of success. Various face recognition algorithms and their extensions, have been proposed in the past three decades. However, face recognition faces challenging problems in real life applications because of the variation in the illumination of the face images. In the recent years, the research is focused towards Illumination-invariant face recognition system and many approaches have been proposed. But, there are several issues in face recognition across illumination variation which still remains unsolved. This paper provides a research on an efficient illumination-invariant face recognition system using Discrete Cosine Transform (DCT) and Principal Component Analysis (PCA). For processing the illumination invariant image, low frequency components of DCT are used to normalize the illuminated image, odd and even components of DCT is used for compensation in illumination variation and PCA is used for recognition of face images. The existing approaches in illumination Invariant face recognition are comprehensively reviewed and discussed. The proposed approach is validated with Yale Face Database B. Experimental results demonstrate the effectiveness of this approach in the performance of face recognition. © 2011 IEEE.
Singun A.P.,Muscat College
2016 International Conference on Industrial Informatics and Computer Systems, CIICS 2016 | Year: 2016
Usability Evaluation is one of the techniques used in the field of Human-Computer Interaction (HCI) in order to evaluate the extent of usability and level of acceptability of an Information System (IS) such as Web-Based Test Blueprint. A user-centered approach to development i.e. Interaction Design Model is encouraged in the design of computing interactive systems. First of its kind to carry out a usability evaluation for an educational assessment artefact such as the Web-based Test Blueprint, focusing on two (2) categories: the User Interface Heuristic Evaluation and the Test Blueprint Heuristic Evaluation. The User Interface Heuristics include the following: (a) Visibility of System Status, (b) Match Between the System and the Real World, (c) User Control and Freedom, (d) Consistency and Adherence to Standards, (e) Error Prevention, (f) Recognition Rather than Recall, (g) Flexibility and Efficiency of Use, (h) Authenticity and Minimalism in Design, (i) Recognition, Diagnosis, and Recovery from Errors, and (j) Help and Documentation. On the other hand, the Test Blueprint Heuristics include the following: (a) Content Validity, (b) Fairness and Comprehensiveness, (c) Accountability, and (d) Flexibility. In addition to these heuristics used in the evaluation are usability goals such as (a) Learnability, (b) Memorability, (c) Efficiency, (d) Effectiveness, and (e) Satisfaction of end users on the use of the Web-based Test Blueprint. The test case of this study is a website curtly called 'Test Prep e-ToolKit' which is readily accessible online. © 2016 IEEE.