6,943 research outputs found
Scientometric portrait of Ram Gopal Rastogi
No full textPublication productivity of Indian scientist (R.G. Rastogi) has been documented.
Scientometric analysis of 312 papers by Ram Gopal Rastogi published during 1954 to 1992 in various domains: (a) Luni -solar activity and quiet -time E & F- region (57); (b) Equatorial electric field and low and mid latitude iof:osphere (78); (c) Ionospheric E- region irregularities (19); (dj Ionospheric F- region irregularities (32); and (e) Magnetic disturbance effects on the equatorial low and mid latitude ionosphere (23) were analysed. Interdomainery contents and of the number of papers: a+b were 36; b+c and b+d were 20 each; b+e were 16;. c+e were 5; a+e were 3; d+e were 2; and a+d had only one publication. Highest collaborations were with H. Chandra (61), M.R. Deshpande (42), and G. Sethia (19) out of his total 97 collaborators. His highest productivity was during 1978 with 28 papers followed by 19 papers during 1977. The core journals preferred by him for publishing papers were: Indian Journal of Radio & Space Physics, India, and Journal of Atomic & Terrestrial Physics, UK (59 each), followed by Proceedings of the Indian Academy of Sciences, India (34). Most prolific title keywords with their frequencies were: Ionosphere (92); Equatorial (61); F-region (53); Equatorial electrojet region (40), and Magnetic equator (30)
Nanostructure-driven complex magnetic behavior of Sm2CoMnO6 double perovskite
No full textMagnetic double perovskite oxides have steadily emerged as an important class of functional materials. A clear understanding of the complex interactions that govern the magnetic behavior, and thereby, the functionality in these mixed valence compounds, however, remains elusive. In this study, we show that the complex nanostructure that forms in these compounds is at the root of their magnetic behavior. Using complementary experimental and micromagnetic simulation results, we have uncovered the complex nanostructure of polycrystalline Sm2CoMnO6, a typical double perovskite oxide, and established how the nanostructure drives its magnetic behavior. Our results show that Sm2CoMnO6 exhibits a Griffiths phase with the formation of ferromagnetic clusters above the ordering temperature. The isothermal magnetization curves show no sign of saturation, even at the highest measured field (9 T), and irreversibility in the entire magnetic field range. Despite a very clear indication of the presence of antiferromagnetic antisite defects, surprisingly, no antisite defect-induced exchange bias occurs. This is explained from the micro magnetic simulations that confirm the presence of ferromagnetic nanoclusters and nanosized, random, and uncorrelated antisite defects, resulting in no exchange bias. This work provides a clear understanding of the role of antisite defects, in particular, on how their structure can lead to the presence/absence of exchange bias. The fundamental insight offered in this work fills an important knowledge gap in the field and will be of immense value in realizing the true potential of double perovskite oxides for future technological applications. (C)& nbsp;2022 The Author(s). Published by Elsevier B.V
100 statistical tests
No full textThis expanded and updated Third Edition of Gopal K. Kanji's best-selling resource on statistical tests covers all the most commonly used tests with information on how to calculate and interpret results with simple datasets. Each entry begins with a short summary statement about the test's purpose, and contains details of the test objective, the limitations (or assumptions) involved, a brief outline of the method, a worked example, and the numerical calculation. 100 Statistical Tests, Third Edition is the one indispensable guide for users of statistical materials and consumers of statistical information at all levels and across all disciplines
ICAS:MP Lecture by Niraja Gopal Jayal (Jawaharlal Nehru University)
No full textChair: Kalpana Kannabiran (Council for Social Development, Hyderabad) 23 September 2019 Venue: CSDS, Seminar Room, 6 pm – 8 pm Niraja Gopal Jayal is Professor at the Centre for the Study of Law and Governance at the Jawaharlal Nehru University, New Delhi. Her book Citizenship and its Discontents (Harvard University Press, 2013) won the Ananda Kentish Coomaraswamy Prize for 2015. She is also the author of Representing India: Ethnic Diversity and the Governance of Public Institutions (Palgrave ..
Controversies in the treatment of follicular lymphoma
No full textThe overall prognosis of patients with follicular lymphoma has substantially improved over the last decades with a 10-year overall survival of around 80% for the majority of patients. However, for most patients follicular lymphoma it is still a relapsing and remitting disease. Furthermore, certain subsets of patients still have much shorter survival. Currently, there is no established standard how to treat high-risk follicular lymphoma. With advances in the understanding of the biology and pathogenesis of B cell malignancies, a plethora of new compounds have been investigated in FL. These compounds have the potential to increase efficacy if added to current regimens or even replace them. The implementation of these compounds in treatment algorithms is another unsolved issue. This overview highlights major controversies in the treatment of follicular lymphoma and discusses the most recent and relevant clinical trials
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Systems biology of breast cancer
No full textBreast cancer, with an alarming incidence rate throughout the globe, has attracted significant investigations to identify disease specific biomarkers. Among these, oestrogen receptor (ER) occupies a central role where overexpression is a prognostic indication for breast cancer. The cross-talk between the responsible contenders of ER-associated genes potentially play an important role in the disease aetiology. Investigation of such cross talk is the focus of this thesis. The development of high throughput technologies such as expression microarrays has paved the way for investigating thousands of genes at a time. Microarrays with their high data volume, multivariate nature and non-linearity pose challenges for analysing using conventional statistical approaches. To combat these challenges, computational researchers have developed machine learning approaches such as Artificial Neural Networks (ANNs). This thesis evaluates ANNs based methodologies and their application to the analysis of microarray data generated for breast cancer cases of differing oestrogen receptor status. Furthermore they are used for network inferencing to identify interactions between ER-associated markers and for the subsequent identification of putative pathway elements. The present thesis shows that it is possible to identify some ER-associated breast cancer relevant markers using ANNs. These have been subsequently validated on clinical breast tumour samples highlighting the promise of this approach
Scientometric analysis of synchronous references in the Physics Nobel lectures, 1981-1985 : a pilot study
No full textScientometric analysis of synchronous references in the nine Physics Nobel lectures by Nicolaas Bloembergen (1981), Arthur L. Schawlow (1981), Kai M. Siegbahn (1981), Kenneth G. Wilson (1982), Subrahmanyan Chandrasekhar (1983), William A. Fowler (1983), Carlo Rubbia (1984), Simon van der Meer (1984), and Klaus von Klitzing (1985) indicated high variations: No. of Synchronous References ranged from 24 (Meer) to 283 (Siegbahn); Synchronous Self-References ranged from 5 (Rubbia) to 88 (Siegbahn); synchronous references to others ranged from 10 (Chandrasekhar) to 255 (Wilson); Synchronous Self-Reference Rates ranged from 6.66 % (Rubbia) to 65.51 % (Chandrasekhar); Single-Authored References ranged from 15 (Klitzing) to 160 (Wilson); Multi-Authored References ranged from 4 (Chandrasekhar) to 194 (Siegbahn); Collaboration Coefficient in the synchronous references ranged from 0.14 (Chandrasekhar) to 0.75 (Klitzing); and Recency (age of 50 % of the latest references) ranged from 2 (Klitzing) to 18 (Chandrasekhar) years. Seventy five per cent of the references belonged to journal articles. Highly referred journals were Astrophysical Journal, Physical Review B, Physical Review Letters, Arkiv Fuer Fysik, Surface Science, Physics Letters, and IEEE Transactions on Nuclear Science.
See: Scientometrics Vol. 61 No.1, pp.55-68
ASIP data-plane processor for multi-standard wireless protocol processing
No full textEvolving Multi-Protocol Multi-Band Software Defined Radio (SDR) devices aim at supporting multiple protocols seamlessly and efficiently. The design of such radios necessitates flexibility in physical layer processing, flexibility in routing packets through processing engines and flexibility in radio frequency reception/transmission. This dissertation addresses an efficient implementation of flexible physical layer processing (PHY) for Interleaving, De-Interleaving and linear Minimum Mean Square Error (MMSE) detection in Multiple Input Multiple Output (MIMO) receivers through Application Specific Instruction Set Processors (ASIPs). The thesis defines and develops a WINLAB cognitive radio (WiNC2R) compatible data-plane ASIP architecture along with suitable hardware-software partitioning of the Processing Engine unit. Given the requirement of very significant design time and the lack of the flexibility after design, dedicated ASIC for PHY may not be a viable option although it has the best performance among all available options. The software application running on general purpose processor cannot satisfy the throughput requirements of the wireless standards. ASIPs provide a better trade-off between flexibility and performance, with the advantage of considerably lower design time than ASICs. We design an efficient multi-standard (802.11a, 802.16e/m) supporting Interleaver/De-Interleaver ASIP, satisfying the throughput requirements for all the modulation-schemes/data-rates in both of the standards. It can be programmed to scale for supporting future wireless standards (that use Block Interleaving/De-Interleaving). We also study viability of a flexible MIMO MMSE detector ASIP supporting variable MR (Number of receiving antennas) * MT (Number of transmitting antennas) operations. We have analyzed the implementation of an hardware-centric algorithm for MIMO detection on an ASIP and also improved its performance with the help of techniques such as fixed point implementation, Single Instruction Multiple Data (SIMD) and Very Long Instruction Word (VLIW). Analysis of the design performance results for MIMO ASIP indicates the limitations of hardware-implementation-specific algorithms on ASIP. We also provide the account of design decisions such as custom ports, memory interfaces and registers that are added to the data-plane processor ASIPs in order to substitute them for dedicated hardware engines in the WiNC2R platform.M.S.Includes bibliographical referencesby Mohit Gopal Wan
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