Creating A Fake Cryptocurrency Unit

In the recent years, cryptocurrencies gained lots of popularity. Many new cryptocurrencies are introduced day by day. Though new cryptocurrencies are being introduced, they are based on the same Blockchain technology. Cryptocurrencies are virtual currencies and differ from traditional money in a way which made them very popular among the users. Bitcoin which was the first cryptocurrency introduced by Satoshi Nakamoto in late 2008 as a Peer-to-Peer Electronic cash system. The most important feature of this system was that it was de-centralized meaning that there is no centralized authority controlling the payment network. Instead, every single entity of the network realizes all the tasks of the centralized server. Cryptocurrencies rely on miners who verify the transactions and add the block to the blockchain. Miners depend on high computation power to solve a mathematical problem following a mining algorithm which also rewards them with some cryptocurrency. This paper provides a comprehensive overview of the technology behind cryptocurrencies and explores the security and privacy issues that are involved with cryptocurrencies and introduces a mechanism to create fake cryptocurrency units

PROTECTIVE ROLE, IN -VITRO FREE RADICAL SCAVENGING ACTIVITIES OF ALANGIUM SALVIFOLIUM (LINN) AGAINEST CCL4 INDUCED HEPATIC DAMAGE IN RATS

Many hepatoprotective herbal preparations have been recommended in an alternative system of medicine for the treatment of hepatic disorders. There are few or no systemic studies have been done on the protective efficacy of Alangium salvifolium (Alangiaceae) to treat liver diseases. Hepatoprotective and antioxidant activity of ethanolic extracts were evaluated against CCl4-induced liver damage in rats. Liver damage was evidenced by elevated levels of biochemical parameters such as serum glutamate oxaloacetic acid transaminase, glutamate pyruvic transaminase and serum alkaline phosphatase. Treatment with ethanolic extracts of Alangium salvifolium (300,500mg/kg, p. o.) produced a significant reversal in the above biochemical parameters, and reducing power, superoxide anion scavenging activity and reduced histopathological scores. These findings suggest that extracts of Alangium salvifolium possess significant hepatoprotective and antioxidant properties

Synthesis and metal complexation of chiral 3-mono-or 3, 3-bis-allyl-2-hydroxypyrrolopyrazine-1, 4-diones

A novel synthesis of chiral cyclic hydroxamic acids (4, 6, 8 and 10) related to cyclodipeptides is described. The crucial reduction of the nitro group of the N-nitroacetyl derivatives of (S)-α-amino acid esters is brought about by zinc-aq. ammonium chloride. The FeIII and CuII complexes of one such cyclic hydroxamic acid 10a have been prepared and their DNAse activity investigated

A Randomized Controlled Prospective Study Comparing a Low Dose Bupivacaine and Fentanyl Mixture to a Conventional Dose of Hyperbaric Bupivacaine for Cesarean Section

CONTEXT: Hormonal and mechanical factors make obstetric patients need strict dose calculations of local anesthetics intrathecally for spinal anesthesia. Any greater dose of local anesthetics can cause hemodynamic instability, maternal morbidity and any lesser dose can produce inadequate block. Hence, we hypothesized in our study that by using low dose of bupivacaine with fentanyl can maintain stable hemodynamics and provide better analgesia. AIM: The aim was to compare the hemodynamics and duration of analgesia using a low dose (7.5 mg) bupivacaine fentanyl mixture to a conventional dose (10 mg) of hyperbaric bupivacaine for cesarean section. SETTINGS AND DESIGN: Double-blinded, randomized, controlled prospective study was conducted at a tertiary academic hospital from 2008 to 2011. MATERIALS AND METHODS: Fifty singleton parturient, scheduled for elective caesarean section were randomly allocated into two groups. Study group (group-S) received a combination of 25 μg fentanyl and 7.5 mg of hyperbaric bupivacaine, whereas the control group (group-C) received 10 mg of hyperbaric bupivacaine. Maternal hemodynamics, sensory and motor block, duration of analgesia and the Apgar score of the newborn were compared between the groups. STATISTICAL ANALYSIS USED: Observational descriptive statistics, statistical package for social sciences (SPSS Inc. Released 2006, SPSS for Windows, Version 15.0. Chicago), paired t-test was used as applicable. RESULTS: The blood pressure significantly decreased with \u3e25% fall from the baseline in group-C (98.76 ± 8.36) than in group-S (117.32 ± 12.21) with P \u3c 0.001. The duration of effective analgesia was significantly prolonged in the study group than in the control group (P \u3c 0.001). CONCLUSION: The combination of low dose bupivacaine and fentanyl in comparison to bupivacaine alone is hemodynamically stable and prolonged duration of analgesia in caesarean section

Solving Sudoku from an Image using Modular Architecture Approach

Sudoku puzzles can be found in various physical forms in newspapers, magazines and elsewhere. It may often be desirable to convert this puzzle into a digital format for ease of solving. This paper proposes a method for extracting and solving a Sudoku puzzle captured in an image. AI techniques can then be applied to solve the Sudoku puzzle. A modular architecture is created for this purpose. Modules can be replaced as needed, making it easier to improve and maintain an application using the proposed architecture DOI: 10.17762/ijritcc2321-8169.150312

Semi-Double-loop machine learning based CPS approach for predictive maintenance in manufacturing system based on machine status indications

The paper presents two original and innovative contributions: 1) the model of machine learning (ML) based approach for predictive maintenance in manufacturing system based on machine status indications only, and 2) semi-Double-loop machine learning based intelligent Cyber-Physical System (I-CPS) architecture as a higher-level environment for ML based predictive maintenance execution. Considering only the machine status information provides rapid and very low investment-based implementation of an advanced predictive maintenance paradigm, especially important for SMEs. The model is validated in real-life situations, exploring different learning algorithms and strategies for learning maintenance predictive models. The findings show very high level of prediction accuracy.This work has been supported by FCT – Fundação para a Ciência e Tecnologia, Portugal, within the Project Scope: UIDB/00319/2020

Regioselective zincation of indazoles using TMP2Zn and Negishi cross-coupling with aryl and heteroaryl iodides.

The metalation of various SEM-protected functionalized indazoles with TMP2Zn provides 3-zincated indazoles which undergo palladium-catalyzed Negishi cross-couplings in good yields

In –silico molecular docking analysis of prodigiosin and cycloprodigiosin as COX-2 inhibitors

Prodigiosin and cycloprodigiosin are tripyrrole red pigmented compounds with medical importance for their anticancer property. In the present investigation, molecular docking studies were performed for both prodigiosin and cycloprodigiosins to evaluate the in- silico anti-inflammatory activity against Cycloxigenase-2 (COX-2) protein as model compound and the data compared with rofecoxib and celcoxid. Cycloprodigiosin showed higher initial potential, initial RMS gradient and potential energy values compared to prodigiosin. Analysis of COX-2 protein and ligand binding revealed that cyclprodigiosin interacted with COX-2 protein amino acid residues of Tyr(324), Phe(487) and Arg(89) while prodigiosin interaction was observed with two amino acids i.e. Leu(321) and Tyr(324). The computational ligand binding interaction suggested > 45% higher fitness score value for prodigiosin to that of cycloprodigiosin with COX-2 protein while the standard compounds rofecoxib and celecoxid revealed fitness score of 44 and 62, respectively. The prodigiosin ligand revealed the best fitness score compared with the standard drug rofecoxib suggesting the prodigiosin could be effective as the potential inhibitor compound against COX-2 protein and can be evaluated as anti-inflammatory drug molecule using clinical trials. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/2193-1801-2-172) contains supplementary material, which is available to authorized users

Direct-Write Drawing of Carbon Nanotube/Polymer Composite Microfibers

Carbon-nanotube- (CNT-) doped polymer solutions were drawn into arrays of microfibers using a novel direct-write process. This process utilizes a micromanipulator-controlled syringe loaded with solvated polymer mixed with CNTs to “write” networks of composite fibers with precisely positioned endpoints. The diameters of these composite fibers are correlated to the degree of capillary thinning that occurs prior to the solidification of the directly written CNT-doped solution filament. The fibers had diameters ranging from 7 μm to over 100 μm and possessed conductivities as high as 0.1 Sm−1. Fiber diameter was found to increase with increasing polymer concentration and decreasing fiber length and can be controlled through modulation of these parameters. The presence of CNTs was found not to significantly affect fiber diameter, despite the CNTs significant effect on viscosity, which was previously reported to influence diameter. This discrepancy is likely related to the non-Newtonian effects of CNT/polymer solutions, including an apparent shear thinning at increasing axial strain rates

An attempt at optimizing the flow characteristics of blast furnace slag by investigation of synthetic slags prepared in the laboratory using pure oxides

In the cohesive zone the ore layer becomes compacted due to softening-melting and the gas passes predominantly through the sandwiched coke layer (coke slits). Minimizing the size and lowering the position of the cohesive zone will improve productivity and decrease coke rate. This work is designed at arriving at a slag composition through actual experimentations which will ensure the lowering of the cohesive zone of the blast furnace with simultaneous decrease in the difference between the softening temperature (ST) and flow temperature (FT) of the slag. Slag samples from SAIL, Rourkela were brought and their flow characteristics were measured under the heating microscope. With the same composition as obtained from the plant, a synthetic slag was prepared in the laboratory. It was melted to 1600 °C and then water quenched to form the glassy state. Flow characteristics for the same were also determined. In addition, all slag samples were sent to DISIR, Rajgangpur for slag analysis as well as to determine the mineralogical phases present in them. For this, they heated the slag samples to 1500 °C followed by slow cooling to convert them to crystalline form. Then, XRD analysis was done to determine the mineralogical phases. Finally, with relevant phase diagram study, we arrived at a composition which will ensure the lowering of cohesive zone. Moreover, flow characteristics data of synthetic slag was compared with that obtained from Blast Furnace slag