A Finite Domain Constraint Approach for Placement and Routing of Coarse-Grained Reconfigurable Architectures

Scheduling, placement, and routing are important steps in Very Large Scale Integration (VLSI) design. Researchers have developed numerous techniques to solve placement and routing problems. As the complexity of Application Specific Integrated Circuits (ASICs) increased over the past decades, so did the demand for improved place and route techniques. The primary objective of these place and route approaches has typically been wirelength minimization due to its impact on signal delay and design performance. With the advent of Field Programmable Gate Arrays (FPGAs), the same place and route techniques were applied to FPGA-based design. However, traditional place and route techniques may not work for Coarse-Grained Reconfigurable Architectures (CGRAs), which are reconfigurable devices offering wider path widths than FPGAs and more flexibility than ASICs, due to the differences in architecture and routing network. Further, the routing network of several types of CGRAs, including the Field Programmable Object Array (FPOA), has deterministic timing as compared to the routing fabric of most ASICs and FPGAs reported in the literature. This necessitates a fresh look at alternative approaches to place and route designs. This dissertation presents a finite domain constraint-based, delay-aware placement and routing methodology targeting an FPOA. The proposed methodology takes advantage of the deterministic routing network of CGRAs to perform a delay aware placement

EFFECT OF ETHANOLIC FRUITS EXTRACT OF EMBELIA RIBES BURM ON DEXAMETHASONE INDUCED INSULIN RESISTANCE IN MICE

This study was designed to examine the effect of ethanolic fruits extract of Embelia ribes Burm on dexamethasone-(1mg/kg, intramuscular, 22 days) induced Insulin resistance in Mice. Twenty two  days of oral feeding the extract (100 mg/kg and 200 mg/kg) to induced mice resulted in significant (P < .01) decrease in blood glucose, triglyeride, Insulin, HOMA-IR index and  increase in body weight  levels as compared to dexa control mice. Further, the extract also significantly (P < .01) decreased the MDA levels and significantly (P < .01) increased the superoxide dismutase, catalase, and glutathione levels as compared to above levels in Hepatic tissue of dexa control  mice and also increased glucose uptake by skeletal muscle. The results of test drug were comparable to pioglitazone (2 mg/kg, i.m , 22 days), a standard antihyperglycemic agent. The study concludes that Embelia ribes enhances the antioxidant defense against reactive oxygen species produced under hyperglycemic condition and Embelia ribes may prove to be effective in the treatment of Type-II Diabetes mellitus owing to its ability to decrease insulin resistance

Hepatoblastoma in an Adult with Biliary Obstruction and Associated Portal Venous Thrombosis

We present a case of adult hepatoblastoma. This young female presented with severe acute cholangitis. Preoperative diagnosis was common bile duct (CBD) obstruction with portal vein thrombosis. On exploration she had a tumor mass in the CBD. The unusual features of this case are discussed in this report

Learning an Executable Neural Semantic Parser

This paper describes a neural semantic parser that maps natural language utterances onto logical forms which can be executed against a task-specific environment, such as a knowledge base or a database, to produce a response. The parser generates tree-structured logical forms with a transition-based approach which combines a generic tree-generation algorithm with domain-general operations defined by the logical language. The generation process is modeled by structured recurrent neural networks, which provide a rich encoding of the sentential context and generation history for making predictions. To tackle mismatches between natural language and logical form tokens, various attention mechanisms are explored. Finally, we consider different training settings for the neural semantic parser, including a fully supervised training where annotated logical forms are given, weakly-supervised training where denotations are provided, and distant supervision where only unlabeled sentences and a knowledge base are available. Experiments across a wide range of datasets demonstrate the effectiveness of our parser.Comment: In Journal of Computational Linguistic

High yield synthesis of boron based nanosheets by chelation assisted exfoliation of layered magnesium diboride towards functional polymer nanocomposites

by Rohit SaraswatM.Tech

High yield synthesis of boron-based nanosheets

We present the chemical exfoliation of magnesium diboride (MgB2) by employing organic chelating agents for synthesising boron-based nanosheets in high yield. MgB2 is a promising parent material towards realising quasi-2D forms of boron, owing to its unique layered constitution: graphenic boron planes interleaved with hexagonal arrays of Mg atoms. Chelating agents can selectively extract the interlayer Mg from MgB2 in water, to form Mg-chelant complexes. The loss of Mg results in delamination of MgB2 into boron-based nanosheets. This approach is further improved by rational choice of chelants with greater affinity for Mg and tuning the optimal pH for metal complexation, thereby leading to a better yield of nanosheets. These boron-based nanosheets have been explored for their candidacy as a new class of inorganic fillers in a polymeric matrix – polyvinyl alcohol (PVA). The mechanical and thermal properties of these boron-based nanosheet-PVA nanocomposite films have been studied.by Rohit Saraswat, Asha Liza James and Kabeer Jasuj