Magic™ Anti-CSK (C-terminal)(phospho S364) polyclonal antibody

In the present era, reversible logic designs play a very critical role in nanotechnology, low power complementary metal-oxide semiconductor (CMOS) designs, optical computing and, especially, in quantum computing. High power dissipation and leakage current in deep submicron technologies is a severe threat in applications created today. As a consequence, design of datapath elements in reversible logic has gained much importance. In this study, a novel design of binary coded decimal (BCD) adder/subtractor in reversible logic has been proposed. As a further optimization of the proposed reversible decimal design, carry skip (CSK) logic is used for reversible ripple carry adder stages. This reduces delay but at the expense of little hardware. The proposed BCD adder/subtractor and its optimized version are designed using structural VHDL and simulated using ModelSim 6.3f. Performance analysis reveals that the proposed BCD design demonstrates reductions in gate count, garbage outputs and constant inputs of 30.5%, 46% and 28%, respectively, and its optimized version exhibits 19.4%, 32.4% and 16% reductions in gate count, garbage outputs and constant inputs compared to the design in Ref. 14 [V. Rajmohan, V. Renganathan and M. Rajmohan, A novel reversible design of unified single digit BCD adder-subtractor, Int. J. Comput. Theor. Eng. 3 (2011) 697-700].

This work focuses on the area of Smart Governance in Smart Cities, which entails transparency in government through public involvement. Specifically, it describes our research on mining urban ordinances or local laws and the public reactions to them expressed on the social media site Twitter. We mine ordinances and tweets related to each other through their mutual connection with Smart City Characteristics (SCCs) and conduct sentiment analysis of relevant tweets for analyzing opinions of the public on local laws in the given urban region. This helps assess how well that region heads towards a Smart City based on (1) how closely ordinances map to the respective SCCs and (2) the extent of public satisfaction on ordinances related to those SCCs. The mining process relies on Commonsense Knowledge (CSK), i.e., knowledge that is obvious to humans but needs to be explicitly fed into machines for automation. CSK is useful in filtering during tweet selection, conducting SCC-based ordinance tweet mapping and performing sentiment analysis of tweets. This paper presents our work in mapping ordinances to tweets through single or multiple SCCs and opinion mining of tweets along with an experimental evaluation and a discussion with useful recommendations.