377 research outputs found
How blockchain technology improves sustainable supply chain processes: a practical guide
No full textBlockchain technology has rapidly grown in the last decade and supply chain management has started to emerge as one of its possible fields of application. Blockchain is estimated to have a transformative impact and potentially transform and disrupt supply chains. However, despite recognizing its enormous opportunity, there is still an incomplete, dispersed, and fragmented knowledge of blockchain applications beyond cryptocurrencies. Very few business people still deeply understand how blockchain works and how it can concretely benefit supply chains. This paper contributes to closing this gap, providing a holistic approach to analyzing blockchain technology's applications and benefits in supply chain management. This study aims to support academics and practitioners in adopting a holistic perspective and realizing the potential this technology can offer in different areas of the supply chain, its managerial impact, challenges, and limitations. A "closed-loop" value chain perspective is adopted to analyze the benefits at each core process of the supply chain, from sourcing to final customer and reverse logistics. This paper conducts qualitative research using case studies analysis based on secondary data. Further, it builds a theoretical framework for blockchain-enhanced supply chain performance based on the results of the qualitative research. Finally, the paper discusses the major drawbacks and barriers to blockchain implementation, which help managers evaluate its real net benefits
How do collaborative culture and capability improve sustainability?
No full textAchieving competitive advantages from a resource-based view is hardly sustainable in today's operational environment. This study emphasizes the need to build partnering capabilities and improve sustainability in the supply chain by coping with the fast-changing business environment. This research underlines the crucial roles of relation- and resource-sharing based collaboration, capabilities, and commitment in developing sustainable supply chain performance. This is the first study to empirically test the theory of developing triple bottom line-based sustainability involving dynamic capabilities and collaboration. Dynamic capability enables firms to create, modify, and reconfigure their available resources to compete in the fast-changing market environment, while collaboration is to work together to achieve a better performance and helps building dynamic capability. Results show that collaboration and commitment play a crucial role in building capabilities, which, in turn, allow firms to achieve sustainable supply chain performance. Collaboration, representing resource sharing and collaborative culture, influences sustainability directly and is mediated by capabilities and commitment. For effective capabilities and sustainability, both upstream and downstream collaboration are required. Culture- and commitment-related traits are strong for downstream collaborating firms
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)
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 ..
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
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
Remark on <i>p</I>-<i>d< Operator
No full textGopal, Dhananjay/0000-0001-8217-2778In this short communication, we show that P-D, operator fall in the class of weakly compatible (respectively, occasionally weakly compatible) in the presence of a unique common fixed point (respectively, multiple common fixed points) of the given maps.CSIR, Govt. of India [25(0215)/13/EMR-II]The first author thanks for the support of CSIR, Govt. of India, Grant No.25(0215)/13/EMR-II.Emerging Sources Citation Inde
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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
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