Bitcoin and gold prices: A fledging long-term relationship

This study applies threshold regression model in a bivariate framework to explore the nonlinear and long-term relationship among daily Bitcoin and gold prices over the period April 2010 to December 2018. Our empirical results are threefold: first, we show that gold is a significant predictor of Bitcoin prices. Second, we find evidence of a non-linear relationship between Bitcoin and gold prices characterized rather by a two-regime relationship with a structural break occurring in October 2017. Third, we explain the existence at before the break, there is statistically significant, negative but weak causality indicating that Bitcoin is a speculative asset. However, after the break, the relationship becomes positive and strong revealing the diversifier and hedge properties of Bitcoin

Bitcoin and gold prices: A fledging long-term relationship

This study applies threshold regression model in a bivariate framework to explore the nonlinear and long-term relationship among daily Bitcoin and gold prices over the period April 2010 to December 2018. Our empirical results are threefold: first, we show that gold is a significant predictor of Bitcoin prices. Second, we find evidence of a non-linear relationship between Bitcoin and gold prices characterized rather by a two-regime relationship with a structural break occurring in October 2017. Third, we explain the existence at before the break, there is statistically significant, negative but weak causality indicating that Bitcoin is a speculative asset. However, after the break, the relationship becomes positive and strong revealing the diversifier and hedge properties of Bitcoin

Evaluation of the effects of highly saline and warm seawaters on corrosivity of marine assets

In marine environment, the corrosion rate of metallic structures vary remarkably with the change in climatic conditions and seawater composition across geographical locations. The corrosion in brackish and polluted seawaters is even more complicated due to the presence of different chemical species and untreated effluents. The complex correlation between the above average temperature and salinity with the high nutrient content in polluted seawater tends to accelerate the rate of biological activities and microbiological induced corrosion (MIC). This research paper has investigated the short-term corrosion of cupronickel (Cu-Ni) 90/10 alloy, and mild steel in the highly saline and warm seawaters. Field experiments for general corrosion under fully immersed condition were conducted at two site locations, represented as site 1 for pollutantrich seawaters and site 2 for natural seawaters in the North Indian Ocean. The experiments were conducted for a period of up to two months and coupons for each metal alloy were recovered from both sites after an exposure period of 15, 30, 45, and 60 days, respectively. In both environmental conditions, significantly high mass loss and corrosion rates were recorded for each metal alloys. Despite the same temperature of seawater and immersion depth at both sites, average corrosion losses at site 1 were found to be 5 and 3 times higher than that of site 2 for Cu-Ni alloy 90/10, and mild steel coupons, respectively

Disaggregated relationship between economic growth and energy use in OECD countries: Time-series and cross-country evidence

We examine the GDP – energy use nexus in OECD countries over the period of 1960 – 2014. For the first time, energy use and GDP data are both disaggregated into their main components. Panel cointegration techniques addressing heterogeneity and cross-sectional dependence are employed to infer the directions and the signs of long-run cross causalities between GDP and energy components. Results are threefold: first, there is a feedback relationship between total energy use and GDP at the aggregated level, mainly through the public expenditure channel. Second, the feedback relationship is validated between real GDP and transportation energy, residence energy and consumption energy, respectively, mainly through the exports and imports channels. Third,the conservation relationship is found between industrial energy and real GDP for which main transmission mechanisms are consumption, exports and imports

Disaggregated relationship between economic growth and energy use in OECD countries: Time-series and cross-country evidence

We examine the GDP – energy use nexus in OECD countries over the period of 1960 – 2014. For the first time, energy use and GDP data are both disaggregated into their main components. Panel cointegration techniques addressing heterogeneity and cross-sectional dependence are employed to infer the directions and the signs of long-run cross causalities between GDP and energy components. Results are threefold: first, there is a feedback relationship between total energy use and GDP at the aggregated level, mainly through the public expenditure channel. Second, the feedback relationship is validated between real GDP and transportation energy, residence energy and consumption energy, respectively, mainly through the exports and imports channels. Third,the conservation relationship is found between industrial energy and real GDP for which main transmission mechanisms are consumption, exports and imports

Job\u27s syndrome with an atypical presentation

Hyper Immunoglobulin E syndrome also called Job\u27s or Buckley Syndrome is a rare primary immunodeficiency disease characterized by elevated serum IgE levels (\u3e 2000 IU/ml), recurrent infections and eosinophilia. Other features include coarse facies and non-immunologic abnormalities of the dentition, bones, vasculature and connective tissues. We are reporting a case of a twenty four years old male with coarse facies who presented with severe pallor and upper gastrointestinal bleeding. Investigations revealed markedly elevated serum IgE levels (11,800 IU/ml), severe anaemia, esophageoduodenal erosions, Helicobacter pylori (H. pylori) gastritis and oro-esophageal candidiasis

Software Cost Estimation through Entity Relationship Model

Abstract: Software Cost Estimation is essential for efficient control and management of the whole software development process. Today, Constructive Cost Model (COCOMO 11) is very popular for estimating software cost. In Constructive Cost Model lines of code and function, points are used to calculate the software size. Actually, this work represents the implementation stages but in early stages in software development, it was not easy to estimate software cost. The entity relationship model (ER Model) is very useful in requirement analysis for data concentrated systems. This paper highlights the use of Entity Relationship Model for software cost estimation. Pathway Density is ushered in. By using the Pathway Density and other factors, many regression models are built for estimating the software cost. So in this paper, Entity Relationship Model is based on estimated cost of software

The Design, Synthesis, and Evaluation of Diaminopimelic Acid Derivatives as Potential dapF Inhibitors Preventing Lysine Biosynthesis for Antibacterial Activity

We created thiazole and oxazole analogues of diaminopimelic acid (DAP) by replacing its carboxyl groups and substituting sulphur for the central carbon atom. Toxicity, ADME, molecular docking, and in vitro antimicrobial studies of the synthesized compounds were carried out. These compounds displayed significant antibacterial efficacy, with MICs of 70–80 µg/mL against all tested bacteria. Comparative values of the MIC, MBC, and ZOI of the synthesized compound were noticed when compared with ciprofloxacin. At 200 µg/mL, thio-DAP (1) had a ZOI of 22.67 ± 0.58, while ciprofloxacin had a ZOI of 23.67 ± 0.58. To synthesize thio-DAP (1) and oxa-DAP (2), l-cysteine was used as a precursor for the L-stereocenter (l-cysteine), which is recognized by the dapF enzyme’s active site and selectively binds to the ligand’s L-stereocenter. Docking studies of these compounds were carried out using the programme version 11.5 Schrodinger to reveal the hydrophobic and hydrophilic properties of these complexes. The docking scores of compounds one and two were −9.823 and −10.098 kcal/mol, respectively, as compared with LL-DAP (−9.426 kcal/mol.). This suggests that compounds one and two interact more precisely with dapF than LL-DAP. Chemicals one and two were synthesized via the SBDD (structure-based drug design) approach and these act as inhibitors of the dapF in the lysine pathway of bacterial cell wall synthesis

Oil-price, inflation pass-through: Are there some known, unknowns?

The study revisits the oil price and inflation nexus in 18 emerging market economies. We bring new evidence by studying this relationship using the disaggregated inflation data, (the headline inflation and the four major inflation sub-groups including core inflation, food inflation, fuel inflation and housing inflation). Using mixed frequency data sampling (MIDAS) regression, the study explains the oil price shock transmission mechanism, where food group plays an important role in translating the immediate incidence of the shock. Our out-of-sample forecasts strongly support the prediction power of MIDAS over VEC model, for headline CPI inflation and CPI subgroups inflation