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81.
Gaurav Chikara Pramod Kumar Sharma Pradeep Dwivedi Jaykaran Charan Sneha Ambwani Surjit Singh 《Indian journal of clinical biochemistry : IJCB》2018,33(2):121-131
Prevalence of diabetes mellitus, a chronic metabolic disease characterized by hyperglycemia, is growing worldwide. The majority of the cases belong to type 2 diabetes mellitus (T2DM). Globally, India ranks second in terms of diabetes prevalence among adults. Currently available classes of therapeutic agents are used alone or in combinations but seldom achieve treatment targets. Diverse pathophysiology and the need of therapeutic agents with more favourable pharmacokinetic-pharmacodynamics profile make newer drug discoveries in the field of T2DM essential. A large number of molecules, some with novel mechanisms, are in pipeline. The essence of this review is to track and discuss these potential agents, based on their developmental stages, especially those in phase 3 or phase 2. Unique molecules are being developed for existing drug classes like insulins, DPP-4 inhibitors, GLP-1 analogues; and under newer classes like dual/pan PPAR agonists, dual SGLT1/SGLT2 inhibitors, glimins, anti-inflammatory agents, glucokinase activators, G-protein coupled receptor agonists, hybrid peptide agonists, apical sodium-dependent bile acid transporter (ASBT) inhibitors, glucagon receptor antagonists etc. The heterogeneous clinical presentation and therapeutic outcomes in phenotypically similar patients is a clue to think beyond the standard treatment strategy. 相似文献
82.
Pragati Priyadarshinee Rakesh D. Raut Manoj Kumar Jha Sachin S. Kamble 《The Journal of High Technology Management Research》2017,28(2):221-245
The purpose of this research article is to identify the critical success criteria/factors that affect the cloud computing adoption and examine structure, reliability and validity of the criteria in the SMEs industry. This study considers nine types of criteria/factors with fifty-one sub-criteria, which have somewhat previously been used, and creates a ranking model that offers decision makers to measure the prior implementation of cloud computing adoption. A questionnaire-based survey research was used to collect data from 110 firms belonging to the SMEs industry in India. In this paper, the data collected was analysed by an integrated approach. Firstly, an Analytic Hierarchy Process approach was applied to find the significant fact of each criterion as the assessable indices of the cloud computing adoption. Secondly, an Exploratory Factor Analysis and Confirmatory Factor Analysis were used to examine structure, reliability and validity of the criteria. The data was tabulated in a Microsoft Excel sheet and then imported in SPSS (Statistical Package for the Social Sciences version 20) for analysis. The findings discovered that ‘Security and Privacy’, ‘Organizational Risk’, ‘Sharing and Collaboration’, ‘Confidentiality’, and ‘Integrity’ have a major effect on the adoption of cloud computing. The research was conducted in the SMEs industry in India, which may limit the generalizability of the findings. The findings and recommendations offer cloud computing service providers as well as users with a better understanding of what affects the cloud computing adoption feature, with a relevant understanding of the current scenario. The research aided in the application of the new technology of cloud computing adoption in the SMEs industry in India through the use of a wide range of criteria. The findings also help organizations study their information technology investments when applying cloud computing. 相似文献
83.
The present paper proposes two new schemes of sensor fault estimation for a class of nonlinear systems and investigates their performances by applying these to satellite control systems. Both of the schemes essentially transform the original system into two subsystems (subsystems 1 and 2), where subsystem-1 includes the effects of system uncertainties, but is free from sensor faults and subsystem-2 has sensor faults but without any uncertainties. Sensor faults in subsystem-2 are treated as actuator faults by using integral observer based approach. The effects of system uncertainties in subsystem-1 can be completely eliminated by a sliding mode observer (SMO). In the first scheme, the sensor faults present in subsystem-2 are estimated with arbitrary accuracy using a SMO. In the second scheme, the sensor faults are estimated by designing an adaptive observer (AO). The sufficient condition of stability of the proposed schemes has been derived and expressed as a linear matrix inequality (LMI) optimization problem and the design parameters of the observers are determined by using LMI techniques. The effectiveness of the schemes in estimating sensor faults is illustrated by considering an example of a satellite control system. The results of the simulation demonstrate that the proposed schemes can successfully estimate sensor faults even in the presence of system uncertainties. 相似文献
84.
Asha Lata Singh Vipin Kumar Singh Anushree Srivastava 《Indian journal of clinical biochemistry : IJCB》2013,28(4):422-425
Arsenic contamination of ground water has become a serious problem all over the world. Large number of people from Uttar Pradesh, Bihar and West Bengal of India are suffering due to consumption of arsenic contaminated drinking water. Study was carried out on 30 individuals residing in Ballia District, UP where the maximum concentration of arsenic was observed around 0.37 ppm in drinking water. Blood samples were collected from them to find out the problem related with arsenic. Cytogenetic study of the blood samples indicates that out of 30, two persons developed Klinefelter syndrome. 相似文献
85.
86.
Marian Reiff Meeta Kumar Batsirai Bvunzawabaya Soumya Madabhushi Alaina Spiegel Benjamin Bolnick 《Journal of College Student Psychotherapy》2019,33(2):107-130
Addressing the need for suicide prevention on campus, I CARE training, developed and facilitated by counseling center clinicians, trains students, staff, and faculty to provide support to students experiencing distress or mental health problems. We assessed its impact using a mixed-methods approach. Quantitative analyses demonstrated significant increases in knowledge of intervention skills and readiness to intervene from pretraining to posttraining. Knowledge and readiness remained significantly higher than preworkshop for the entire follow-up evaluation period, extending 15 months posttraining. Qualitative analyses revealed the value of experiential activities and emotional processing in increasing participants’ comfort and preparedness to intervene in challenging situations. 相似文献
87.
INTRODUCTION The physics of plastic deformation and crack propagation at atomic level is complex but is essential for the development of new materials. This requires an understanding of the atomic level phenomena associated with the plastic deformation. In this con- text, emission of electromagnetic radiation (EMR) during plastic deformation and crack propagation in metals and alloys, and generation of transient mag- netic fields during crack initiation in ferromagnetic materials are rep… 相似文献
88.
KHOSLA Arun KUMAR Shakti AGGARWAL K.K. 《浙江大学学报(A卷英文版)》2006,7(12):1989-1994
INTRODUCTION The particle swarm optimization (PSO) method is a member of the broad category of swarm intelli- gence techniques for finding optimized solutions. The PSO algorithm is based on the social behavior of animals such as flocking of birds and schooling of fish, etc. PSO has its origin in simulation for visual- izing the synchronized choreography of bird flock by incorporating concepts such as nearest-neighbor ve- locity matching and acceleration by distance (Par- sopoulos and V… 相似文献
89.
Shivam Kumar 《Resonance》2007,12(10):18-29
In the first part of this article, we had introduced the notion of quadratic reciprocity and dwelt briefly on its history, which goes back all the way to the work of Fermat. Then we discussed the Law of Quadratic
Reciprocity (‘QRL’), which Gauss named Theorema Aureum. Following this, we gave a not too well known proof of the QRL, due to G Rousseau. Now we give two more proofs of the QRL,
drawing respectively from ideas in linear algebra and field extensions; they too are not very well known.
Shivam Kumar graduated from Indian Statistical Institute, Bangalore and is joining the London School of Economics for MSc
in applicable mathematics. His interest lies in expanding the existing applied paradigm of mathematics from stock market to
unchartered subjects such as sociometrics. 相似文献
90.