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Comparaative study of Lipid profile and level of Antioxidant enzymes in cigarette smokers with non cigaretee smokers
P. K. Chauhan1, Rishma2, V. Singh3 and Abhishek B4
Indian Journal of Pharmaceutical and Biological Research , 2013,
Abstract: Cigarette smoking is the serious health problems and most important avoidable cause of death in world. Worldwide more than 8 million people currently die each year from smoking half of them before of the age of 60. Every cigarette reduces the life span by about 5 minutes. Smoke contains oxidising agents and the oxidation reactions can produce free radicals. In turn, these radicals can start chain reactions that damage cells. In the present study 40 male subjects were divided into four different groups and their lipid profile have been estimated by various tests i.e. Cholesterol, Triglyceride, HDL-C, LDL-C, VLDL-C. It was observed that in cigarette smokers HDL-C level decreased and cholesterol, triglyceride, LDL-C, VLDL-C level increased as compared to the control i.e. non- cigarette smokers. In case of MDA and Antioxidant enzymes test, the value of MDA increases and antioxidant enzymes decreases in cigarette smokers as compared to the control i.e. non- cigarette smokers. The variation in the level of lipid profile and antioxidant enzymes from normal values causes several diseases such as Lung cancer, other cancers, heart disease, and stroke and has numerous immediate health effects on the brain and on the respiratory, cardiovascular, gastrointestinal, immune systems.
Hidden markov model for the prediction of transmembrane proteins using MATLAB
Navaneet Chaturvedi*,Vinay Kumar Singh3,Sudhanshu Shanker2,Dhiraj Sinha4
Bioinformation , 2011,
Abstract: Since membranous proteins play a key role in drug targeting therefore transmembrane proteins prediction is active and challenging area of biological sciences. Location based prediction of transmembrane proteins are significant for functional annotation of protein sequences. Hidden markov model based method was widely applied for transmembrane topology prediction. Here we have presented a revised and a better understanding model than an existing one for transmembrane protein prediction. Scripting on MATLAB was built and compiled for parameter estimation of model and applied this model on amino acid sequence to know the transmembrane and its adjacent locations. Estimated model of transmembrane topology was based on TMHMM model architecture. Only 7 super states are defined in the given dataset, which were converted to 96 states on the basis of their length in sequence. Accuracy of the prediction of model was observed about 74 %, is a good enough in the area of transmembrane topology prediction. Therefore we have concluded the hidden markov model plays crucial role in transmembrane helices prediction on MATLAB platform and it could also be useful for drug discovery strategy.
GENOME SIZE DETERMINATION AND RAPD ANALYSIS OF FOUR EDIBLE AROIDS OF NORTH EAST INDIA
Jyoti P. Saikia1*, Bolin K. Konwar 2 and Susmita Singh3
The IIOAB Journal , 2010,
Abstract: Four edible aroid species were selected for the study. The genomic DNA of the plants was isolated and estimated. A part of the genomic DNA was used for analysis using six different primers from Operon Technologies, USA. The genome size determined for the aroids is in the order of Colocasia esculenta> Xanthosoma caracu> Xanthosoma sagittifolium > Amorphophallus paeonifolius. Amorphophallus species was found to be 50% similar to both Xanthosoma caracu and Colocasia esculenta. The analysis will provide a ground for exploring the vast diversified aroid population of the region.
Molecular modeling, dynamics studies and virtual screening of Fructose 1, 6 biphosphate aldolase-II in community acquired- methicillin resistant Staphylococcus aureus (CA-MRSA)
Pramod Kumar Yadav1*, 2, 1,1, Madhu Yadav1, Upasana Srivastav1 & Brijendra Singh3,Budhayash Gautam,Satendra Singh,Madhu Yadav
Bioinformation , 2013,
Abstract: Community-acquired methicillin-resistant Staphylococcus aureus (CA-MRSA) has recently emerged as a nosocomial pathogen to the community which commonly causes skin and soft-tissue infections (SSTIs). This strain (MW2) has now become resistant to the most of the beta-lactam antibiotics; therefore it is the urgent need to identify the novel drug targets. Recently fructose 1,6 biphosphate aldolase-II (FBA) has been identified as potential drug target in CA-MRSA. The FBA catalyses the retro-ketolic cleavage of fructose-1,6-bisphosphate (FBP) to yield dihydroxyacetone phosphate (DHAP) and glyceraldehyde-3-phosphate (G3P) in glycolytic pathway. In the present research work the 3D structure of FBA was predicted using the homology modeling method followed by validation. The molecular dynamics simulation (MDS) of the predicted model was carried out using the 2000 ps time scale and 1000000 steps. The MDS results suggest that the modeled structure is stable. The predicted model of FBA was used for virtual screening against the NCI diversity subset-II ligand databases which contain 1364 compounds. Based on the docking energy scores, it was found that top four ligands i.e. ZINC01690699, ZINC13154304, ZINC29590257 and ZINC29590259 were having lower energy scores which reveal higher binding affinity towards the active site of FBA. These ligands might act as potent inhibitors for the FBA so that the menace of antimicrobial resistance in CA-MRSA can be conquered. However, pharmacological studies are required to confirm the inhibitory activity of these ligands against the FBA in CA-MRSA.
Property Enrichment of Aged Nickel Base Superalloy Supercast 247A
Lavakumar Avala,Ch.V.S. Murthy 2,Prince Kr singh 3,Bhargav Chaitanya 4
International Journal on Theoretical and Applied Research in Mechanical Engineering , 2013,
Abstract: The commercial nickel-base superalloy Supercast 247A can be used for applications in which is required high mechanical strength and corrosion resistance at elevated temperatures, such as turbine blades and automotive turbocharger rotors. The mechanical properties are totally connected to the morphology, size and distribution of γ' phase and carbides. In order to improve the mechanical properties, the material is subjected to solution and aging heat treatment, to raise the volume fraction of γ' phase in the matrix and to form carbides at grain boundaries. In the present study the Supercast 247A superalloy was remelted and cast to obtain the desired polycrystalline test bars by controlling casting parameters, followed by the investigation of precipitation morphology and mechanical properties with respect to solution treatment and aging treatment. The experimental results show that by well controlled casting parameters the Supercast 247A owns excellent castability to form a superalloy with fine grain structure, resistance to indentation as well as superior strength.
GPS User Position Using Extended Linearization Technique
B.Hari Kumar #1 , Dr. Dixit #2 , N.Namassivaya #3 , G.V.Chalapathi Rao #4
International Journal of Engineering Trends and Technology , 2011,
Abstract: The position of a GPS receiver can be determined by obtaining pseudoranges from a minimum of four different GPS satellites. The measured ranges do not represent the true ranges as the signal coming from a GPS satellite will be contaminated by various errors like Ephemeris error; Propagation error in the form of Ionospheric and Tropospheric delays; Satellite and Receiver clock biases with respect to GPS Time (GPST); Multipath error etc. Most of these errors can be estimated accurately and can be accounted for. After making necessary corrections to the observed pseudoranges the receiver position in ECEF coordinates (xu, yu, zu) and the receiver clock bias with GPS Time (GPST) tu can be determined either by using Linearization Technique [1] or Method of least squares using Bancroft Algorithm [2]. As it is easy to implement, most of the GPS receivers employ former method for fixing the user position when a great degree of accuracy is not required. The latter method is found to be more accurate when pseudoranges from more than four satellites are considered [3]. So far only Bancroft method has been suggested for an accurate estimation of a GPS receiver position when more than four satellites are observed. In this paper we are proposing a new technique namely, Extended Linearization Technique (ELT) for the estimation of an user position. Results show that the accuracy obtained using ELT is better compared to the Linearization Technique and is on par with the Bancroft algorithm for over specified cases when pseudoranges from more than four satellites are observed. GPS data of Chitrakut station in RINEX format has been used for this purpose
Study of Trends in Higher Education
R. Lakshman Naik1 , S.S.V.N. Sarma2 , B. Manjula3 , D. Ramesh4
International Journal of Computer Trends and Technology , 2011,
Abstract: One of the most important facts in higher education system is quality. It concerns with all the circumstances to enhance the higher educational organizations. One way to reach the highest level of quality in higher education systems is implementing the key trends for higher education along with the role of technology. This can be achieved by utilizing valuable implicit knowledge, which is currently unknown. This knowledge is hidden among the educational data set and it is extractable through data mining technology. The knowledge, previously unknown and potentially useful is discovered from raw educational data; through data mining techniques to implement current trends in higher education. In this paper we discuss how data mining applications can help to implement current higher educational trends, including incoming students, faculty support and data management.
Evaluation of advanced sorghum breeding lines for grain mold resistance
R.P. THAKUR1*, BELUM V.S. REDDY1, V.P. RAO1, G.D. AGARKAR2, R.B. SOLUNKE3 and BHARATI BHAT4
Indian Phytopathology , 2011,
Abstract: Grain mold, caused by a fungal complex, is a major production constraint of early-maturing highyielding rainy season sorghum (Sorghum bicolor) hybrids. A total of 34 selected elite B-lines bred for grain mold resistance at ICRISAT were evaluated for their resistance stability through a collaborative Sorghum Grain Mold Resistance Stability Nursery under natural infection at five locations (Akola, Parbhani, Palem, Patancheru, and Surat) in India during three rainy seasons, 2002 to 2004. Grain mold severity scores were recorded at two stages, first at physiological maturity- panicle grain mold rating (PGMR) in the field nursery and second after harvest on threshed grain- threshed grain mold rating (TGMR), using a progressive 1–5 scale. Results indicated significant differences among the genotypes (G), locations (L), years (Y) and their interactions for both PGMR and TGMR scores. A strong positive correlation (r = 0.89) between PGMR and TGMR indicated the adequacy of grain mold severity recording, preferably PGMR. Relatively, larger variance due to G than to G × L and G ×Y interaction components justified breeding sorghum hybrid for grain mold resistance for wider adaptation in India.
Variable Origin of the Superior Laryngeal Artery and Its Clinical Significance
Soubhagya R. Nayak1*, Ashwin Krishnamurthy2, Latha V. Prabhu2, Bhagath Kumar Potu3, Ishwar B. Bagoji4, Jiji PJ2 and Ganesh Kumar Chettiar2
Al Ameen Journal of Medical Sciences , 2011,
Abstract: The superior laryngeal artery (SLA) is the dominant arterial supply of the laryngeal muscles, mucosa and glands. The purpose of the present study was to document the variable origin of the SLA in the carotid triangle. Although the variation in the SLA origin and morphology is important during the partial laryngectomy and reconstruction surgery of the larynx, the description of the SLA in modern literature is vague. The anatomy of SLA was studied in 37 adult South Indian preserved cadavers aged between 48 to 81 years. The antero-lateral region of the neck was exposed. After the visualization of laryngeal prominence, the strap muscles were resected and the SLA and the internal branch of the superior laryngeal nerve (ILN) were exposed. The variable origin of SLA was observed. The origin of the SLA was variable and was classified in to four different groups. Type I: Subtype Ia, the SLA originates from the superior thyroid artery (STA) (SLA with a transverse course) [75.6%] and subtype Ib, the SLA originates from the STA (SLA with an initially ascending course) [4%]; type II: the SLA originates from the lingual artery [5.4%]; type III: the SLA originates directly from the external carotid artery (ECA) [12.1%]; type IV: the SLA originates from the linguo-facial trunk [2.7%]. In addition to above variations, in a single case the SLA was duplicated and in three instances the posterior glandular branch of the thyroid gland was arosed from the SLA.
SUPERVISORY & DATA ACQUISITION SYSTEM BASED ON LABVIEW FOR GAS FILLING PLANT
Abhishek Chattri #1,Sumit Rathore#2 ,Shivani Kumra#3 ,Amit Dhaman#4
International Journal of Engineering Trends and Technology , 2012,
Abstract: Gas Filling Plants are used to fill, count & deliver Gas Cylinder ensuring an automated & efficient batch production. Different types of devices are used but the theme by introducing Supervisory and Data Acquisition System which overcomes human intervention and increases the overall efficiency and safety of the Gas Filling Station. Data acquisition is the process by which physical phenomena from the real world are transformed into electrical signals that are measured and converted into a digital format for processing, analysis, and storage by a computer. In a large majority of applications, the data acquisition (DAQ) system is designed not only to acquire data, but to act on it as well. In defining DAQ systems, it is therefore useful to extend this definition to include the control aspects of the total system. As Data Acquisition software Lab VIEW is used .It is a graphical development environment with built-in functionality for simulation, data acquisition, instrument control, measurement analysis, and data presentation. Lab VIEW gives one the flexibility of a powerful programming language without the complexity of traditional development environments. Lab VIEW delivers extensive acquisition, analysis, and presentation capabilities in a single environment, so one can seamlesslydevelop a complete solution on the platform of your choice.
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