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Jeong, Lak Shin,Choe, Seung Ah,Gunaga, Prashantha,Kim, Hea Ok,Lee, Hyuk Woo,Lee, Sang Kook,Tosh, Dilip K.,Patel, Amit,Palaniappan, Krishnan K.,Gao, Zhan-Guo,Jacobson, Kenneth A.,Moon, Hyung Ryong 이화여자대학교 약학연구소 2008 藥學硏究論文集 Vol.- No.18
Truncated D-4'-thioadenosine derivatives lacking the 4'-hydroxymethylene moiety were synthesized starting from D-mannose, using cyclization to the 4-thiosugar and one-step conversion of the diol to the acetate as key steps At the human A₃ adenosine receptor (AR), N^(6)-substituted purine analogues bound potently and selectively and acted as antagonists in a cyclic AMP functional assay An N^(6)-(3-chlorobenzyl)purine analogue 9b displayed a K, value of 1 66 nM at the human A₃ AR Thus, truncated D-4'-thioadenosine is an excellent template for Ihe design of novel A₃ AR antagonists to act at both human and murine species.
Rapid prediction of inelastic bending moments in RC beams considering cracking
K. A. Patel,Sandeep Chaudhary,A.K. Nagpal 사단법인 한국계산역학회 2016 Computers and Concrete, An International Journal Vol.18 No.6
A methodology using neural networks has been proposed for rapid prediction of inelastic bending moments in reinforced concrete continuous beams subjected to service load. The closed form expressions obtained from the trained neural networks take into account cracking in concrete at in-span and at near the internal supports and tension stiffening effect. The expressions predict the inelastic moments (considering the concrete cracking) from the elastic moments (neglecting the concrete cracking) at supports. Three separate neural networks are trained since these have been postulated to represent all the beams having any number of spans. The training, validating, and testing data sets for the neural networks are generated using an analytical-numerical procedure of analysis. The proposed expressions are verified for example beams of different number of spans and cross-section properties and the errors are found to be small. The proposed expressions, at minimal input data and computation effort, yield results that are close to FEM results. The expressions can be used in preliminary every day design as they enable a rapid prediction of inelastic moments and require a computational effort that is a fraction of that required for the available methods in literature.
A tension stiffening model for analysis of RC flexural members under service load
K. A. Patel,Sandeep Chaudhary,A.K. Nagpal 사단법인 한국계산역학회 2016 Computers and Concrete, An International Journal Vol.17 No.1
Tension-stiffening is the contribution of concrete between the cracks to carry tensile stresses after cracking in Reinforced Concrete (RC) members. In this paper, a tension-stiffening model has been proposed for computationally efficient nonlinear analysis of RC flexural members subjected to service load. The proposed model has been embedded in a typical cracked span length beam element. The element is visualized to consist of at the most five zones (cracked or uncracked). Closed form expressions for flexibility and stiffness coefficients and end displacements have been obtained for the cracked span length beam element. Further, for use in everyday design, a hybrid analytical-numerical procedure has been developed for nonlinear analysis of RC flexural members using the proposed tension-stiffening model. The procedure yields deflections as well as redistributed bending moments. The proposed model (and developed procedure) has been validated by the comparison with experimental results reported elsewhere and also by comparison with the Finite Element Method (FEM) results. The procedure would lead to drastic reduction in computational time in case of large RC structures.
Multi-Secondary Transformer: A Modeling Technique for Simulation - II
Patel, A.,Singh, N.P.,Gupta, L.N.,Raval, B.,Oza, K.,Thakar, A.,Parmar, D.,Dhola, H.,Dave, R.,Gupta, V.,Gajjar, S.,Patel, P.J.,Baruah, U.K. Journal of International Conference on Electrical 2014 Journal of international Conference on Electrical Vol.3 No.1
Power Transformers with more than one secondary winding are not uncommon in industrial applications. But new classes of applications where very large number of independent secondaries are used are becoming popular in controlled converters for medium and high voltage applications. Cascade H-bridge medium voltage drives and Pulse Step Modulation (PSM) based high voltage power supplies are such applications. Regulated high voltage power supplies (Fig. 1) with 35-100 kV, 5-10 MW output range with very fast dynamics (${\mu}S$ order) uses such transformers. Such power supplies are widely used in fusion research. Here series connection of isolated voltage sources with conventional switching semiconductor devices is achieved by large number of separate transformers or by single unit of multi-secondary transformer. Naturally, a transformer having numbers of secondary windings (~40) on single core is the preferred solution due to space and cost considerations. For design and simulation analysis of such a power supply, the model of a multi-secondary transformer poses special problem to any circuit analysis software as many simulation softwares provide transformer models with limited number (3-6) of secondary windings. Multi-Secondary transformer models with 3 different schemes are available. A comparison of test results from a practical Multi-secondary transformer with a simulation model using magnetic component is found to describe the behavior closer to observed test results. Earlier models assumed magnetising inductance in a linear loss less core model although in actual it is saturable core made-up of CRGO steel laminations. This article discusses a more detailed representation of flux coupled magnetic model with saturable core properties to simulate actual transformers very close to its observed parameters in test and actual usage.
Niraj A. Shah,Laxit K. Bhatt,Rajesh J. Patel,Tushar M. Patel,Nayankumar V. Patel,Harshida G. Trivedi,Nilam R. Patel,Jitendra H. Patel,Satish D. Patel,Rajesh S. Sundar,Mukul R. Jain 한국실험동물학회 2022 Laboratory Animal Research Vol.38 No.4
Background: Nonhuman primates are used for research purposes such as studying diseases and drug discovery and development programs. Various clinical pathology parameters are used as biomarkers of disease conditions in biomedical research. Detailed reports of these parameters are not available for Indian-origin rhesus macaques. To meet the increasing need for information, we conducted this study on 121 adult Indian rhesus macaques (57 wild-sourced and 64 inhouse animals, aged 3–7 years). A total of 18 hematology and 18 biochemistry parameters were evaluated and reported in this study. Data from these parameters were statistically evaluated for significance amongst inhouse and wild-born animals and for differences amongst sexes. The reference range was calculated according to C28-A3 guidelines for reporting reference intervals of clinical laboratory parameters. Results: Source of the animals and sex appeared to have statistically significant effects on reference values and range. Wild-born animals reported higher WBC, platelets, neutrophils, RBC, hemoglobin, HCT, MCV, and total protein values in comparison to inhouse monkeys. Sex-based differences were observed for parameters such as RBCs, hemoglobin, HCT, creatinine, calcium, phosphorus, albumin, and total protein amongst others. Conclusions: Through this study, we have established a comprehensive data set of reference values and intervals for certain hematological and biochemical parameters which will help researchers in planning, conducting, and interpreting various aspects of biomedical research employing Indian-origin rhesus monkeys.
Neural network based approach for rapid prediction of deflections in RC beams considering cracking
K. A. Patel,Sandeep Chaudhary,A.K. Nagpal 사단법인 한국계산역학회 2017 Computers and Concrete, An International Journal Vol.19 No.3
Maximum deflection in a beam is a serviceability design criterion and occurs generally at or close to the mid-span. This paper presents a methodology using neural networks for rapid prediction of mid-span deflections in reinforced concrete beams subjected to service load. The closed form expressions are further obtained from the trained neural networks. The closed form expressions take into account cracking in concrete at in-span and at near the interior supports and tension stiffening effect. The expressions predict the inelastic deflections (incorporating the concrete cracking) from the elastic moments and the elastic deflections (neglecting the concrete cracking). Five separate neural networks are trained since these have been postulated to represent all beams having any number of spans. The training, validating, and testing data sets for the neural networks are generated using an analytical-numerical procedure of analysis. The proposed expressions have been verified by comparison with the experimental results reported elsewhere and also by comparison with the finite element method (FEM). The proposed expressions, at minimal input data and minimal computation effort, yield results that are close to FEM results. The expressions can be used in every day design since the errors are found to be small.
L. K. Varshney,K.A. Patel,Sandeep Chaudhary,A.K. Nagpal 국제구조공학회 2019 Structural Engineering and Mechanics, An Int'l Jou Vol.70 No.6
Steel-concrete composition is widely used in the construction due to efficient utilization of materials. The service load behavior of composite structures is significantly affected by cracking, creep and shrinkage effects in concrete. In order to control these effects in concrete slab, an efficient and novel strategy has been proposed by use of fiber reinforced concrete near interior supports of a continuous beam. Numerical study is carried out for the control of cracking, creep and shrinkage effects in composite beams subjected to service load. A five span continuous composite beam has been analyzed for different lengths of fiber reinforced concrete near the interior supports. For this purpose, the hybrid analytical-numerical procedure, developed by the authors, for service load analysis of composite structures has been further improved and generalized to make it applicable for composite beams having spans with different material properties along the length. It is shown that by providing fiber reinforced concrete even in small length near the supports; there can be a significant reduction in cracking as well as in deflections. It is also observed that the benefits achieved by providing fiber reinforced concrete over entire span are not significantly more as compared to the use of fiber reinforced concrete in certain length of beam near the interior supports in continuous composite beams.
Neutral beam injector system for Steady State Tokamak -1
S. K. Mattoo,A.K. Chakraborty,B. Prajapati,BVSNNP Sridhar,C. Rotti,Ch. Chakrapani,G. Patel,M. Bandyopadhyay,M.J. Singh,M.R. Jana,N.P. Singh,P. Bharati,P.J. Patel,P.K. Jayakumar,R. Onali,S. Ramababu,S. 한국물리학회 2006 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.49 No.III
This paper discusses the experimental results obtained from the various components developed for a 1.7 MW neutral beam injector (NBI). Several technologies related to fabrication of back plate, extractor grids, high-current filament feedthru’s, heat-transfer elements, ceramic insulators, cryopumps, rectangular vessels and power supplies have been developed in collaboration with the Indian industry. Control experiments on the prototype plasma box are described.
Sharad Patel,A. K. Rastogi 대한토목학회 2019 KSCE JOURNAL OF CIVIL ENGINEERING Vol.23 No.6
Most of the groundwater simulation models are based on certain element (finite element method) or grid (finite difference method) formulation which is used for obtaining the transient head variation in the aquifer system. Since groundwater management scenarios often demand to call these simulation models several hundred times to deliver the acceptable decision variables, it is essential that an efficient and accurate system simulation technique should be adopted. In this paper, a recently developed global collocation approach based meshfree (Mfree) model is used as a groundwater state estimation tool. The developed model is first tested on a twodimensional confined aquifer synthetic flow problem where the results are compared with the available analytical and numerical solutions. Different time steps and varied pumping schedules were also assessed for a performance check. Later the tested model is applied to a synthetic aquifer flow problem having a close analogy to real field variability. The results obtained through the projected Mfree model are the testimony of accuracy and successful application of the developed model.