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( Muhammad Shamshir Alam ),( Krishna Kolappa Pillai ),( Syed Aliul Hasan Abdi ),( Prem Kapur ),( Paru Kutty Pillai ),( Kandasamy Nagarajan ) 대한내과학회 2018 The Korean Journal of Internal Medicine Vol.33 No.6
Background/Aims: Adverse drug reaction (ADR) is an appreciably harmful or unpleasant reaction, resulting from an intervention related to the use of a medicinal product. The present study was conducted in order to monitor the frequency and severity of ADR during antimicrobial therapy of septicemia. Methods: A prospective, observational, and noncomparative study was conducted over a period of 6 months on patients of septicemia admitted at a university hospital. Naranjo algorithm scale was used for causality assessment. Severity assessment was done by Hartwig severity scale. Results: ADRs in selected hospitalized patients of septicemia was found to be in 26.5% of the study population. During the study period, 12 ADRs were confirmed occurring in 9, out of 34 admitted patients. Pediatric patients experienced maximum ADRs, 44.4%. Females experienced a significantly higher incidence of ADRs, 66.7%. According to Naranjo’s probability scale, 8.3% of ADRs were found to be definite, 58.3% as probable, and 33.3% as possible. A higher proportion of these ADRs, 66.7% were preventable in nature. Severity assessment showed that more than half of ADRs were moderate. Teicoplanin was found to be the commonest antimicrobial agent associated with ADRs, followed by gemifloxacin and ofloxacin. Conclusions: The incidence and severity of ADRs observed in the present study was substantially high indicating the need of extra vigilant during the antimicrobial therapy of septicemia.
Application of artificial neural network for determination of wind induced pressures on gable roof
Kwatra, Naveen,Godbole, P.N.,Krishna, Prem Techno-Press 2002 Wind and Structures, An International Journal (WAS Vol.5 No.1
Artificial Neural Networks (ANN) have the capability to develop functional relationships between input-output patterns obtained from any source. Thus ANN can be conveniently used to develop a generalised relationship from limited and sometimes inconsistent data, and can therefore also be applied to tackle the data obtained from wind tunnel tests on building models with large number of variables. In this paper ANN model has been developed for predicting wind induced pressures in various zones of a Gable Building from limited test data. The procedure is also extended to a case wherein interference effects on a gable roof building by a similar building are studied. It is found that the Artificial Neural Network modelling is seen to predict successfully, the pressure coefficients for any roof slope that has not been covered by the experimental study. It is seen that ANN modelling can lead to a reduction of the wind tunnel testing effort for interference studies to almost half.
A comprehensive checklist of threatened plants of Meghalaya, Northeast India
Khrote-u Lasushe,Aabid Hussain Mir,Prem Prakash Singh,Kanhaiya Lal Chaudhary,Hiranjit Choudhury,Chaya Deori,Dilip Kumar Roy,Bikarma Singh,Krishna Upadhaya 국립중앙과학관 2022 Journal of Asia-Pacific Biodiversity Vol.15 No.3
In this era of rapid biodiversity decline, creating a checklist of threatened taxa is a prerequisite as it apprises the conservationists about the current status of species, thereby enabling the enforcement of necessary measures to prevent them from extinction. The present study was carried out to develop a comprehensive list of threatened species of Meghalaya using both the global and regional lists viz., In ternational Union for Conservation of Nature Red List, Red Data Book of Indian Plants and Conservation Assessment and Management Plan. The analysis revealed the presence of 385 plant taxa belonging to 274 genera and 108 families in the state under various threatened categories. The dominant life form con sisted of trees (40.26%), followed by herbs (35.84%), shrubs (13.25%), climbers (5.45%), epiphytes (4.94%) and parasites (0.26%). Fabaceae with 34 species was the largest family and Magnolia with 14 species was the dominant genera. The distribution of the threatened species showed that 24 species are exclusively endemic to Meghalaya and 70 species were restricted to Northeastern India, Indo-Burma or the Eastern Himalaya region. The present study has enabled the compilation of data on threatened plants of Meghalaya spread across literature with an update on their distributional area.
Identification of 18 flutter derivatives by covariance driven stochastic subspace method
Mishra, Shambhu Sharan,Kumar, Krishen,Krishna, Prem Techno-Press 2006 Wind and Structures, An International Journal (WAS Vol.9 No.2
For the slender and flexible cable supported bridges, identification of all the flutter derivatives for the vertical, lateral and torsional motions is essential for its stability investigation. In all, eighteen flutter derivatives may have to be considered, the identification of which using a three degree-of-freedom elastic suspension system has been a challenging task. In this paper, a system identification technique, known as covariance-driven stochastic subspace identification (COV-SSI) technique, has been utilized to extract the flutter derivatives for a typical bridge deck. This method identifies the stochastic state-space model from the covariances of the output-only (stochastic) data. All the eighteen flutter derivatives have been simultaneously extracted from the output response data obtained from wind tunnel test on a 3-DOF elastically suspended bridge deck section-model. Simplicity in model suspension and measurements of only output responses are additional motivating factors for adopting COV-SSI technique. The identified discrete values of flutter derivatives have been approximated by rational functions.
Shambhu Sharan Mishra,Krishen Kumar,Prem Krishna 한국풍공학회 2007 Wind and Structures, An International Journal (WAS Vol.10 No.3
This paper presents an aeroelastic analysis procedure to highlight the influence of wind velocity on the structural damping and frequency of a long span cable-stayed bridge. Frequency dependent self-excited forces in terms of flutter derivatives are expressed as continuous functions using rational function approximation technique. The aeroelastically modified structural equation of motion is expressed in terms of frequency independent modal state-space parameters. The modal logarithmic dampings and frequencies corresponding to a particular wind speed are then determined from the eigen solution of the state matrix.
Mishra, Shambhu Sharan,Kumar, Krishen,Krishna, Prem Techno-Press 2007 Wind and Structures, An International Journal (WAS Vol.10 No.3
This paper presents an aeroelastic analysis procedure to highlight the influence of wind velocity on the structural damping and frequency of a long span cable-stayed bridge. Frequency dependent self-excited forces in terms of flutter derivatives are expressed as continuous functions using rational function approximation technique. The aeroelastically modified structural equation of motion is expressed in terms of frequency independent modal state-space parameters. The modal logarithmic dampings and frequencies corresponding to a particular wind speed are then determined from the eigen solution of the state matrix.