Comparison of Hybrid Multi-dimensional Models of a Bi-Stable Load-Switched Supersonic Fluidic Oscillator Application

Fluidic oscillators are devices capable of superimposing large pressure and velocity fluctuations on the flow through a device without the necessity of having any moving parts. The lack of moving parts makes these devices superior to conventional moving-part valves in high temperature applications. The specific application of interest in the current study is the super-plastic forming (SPF) process in which large sheets of aluminum at very high temperature are formed into the desired shape by pressurizing one side inside the SPF chamber. It is known that the introduction of pressure fluctuations onto the increasing pressure in the SPF chamber reduces the chances of the metal tearing. The use of a Bi-Stable Load-Switched Supersonic Fluidic Oscillator to create the large pressure fluctuation amplitudes is ideal for this application. A numerical investigation of a Bi-Stable Load-Switched Supersonic Fluidic Oscillator is performed to understand the performance of the device under a variety of operating conditions consistent with this application. The commercial CFD code ANSYS Fluent 17.0 is used in the present work. The computational time and memory required to complete a full three-dimensional (3D) model of the device are excessive and hence simplifications are made. This research includes a comparison of the results obtained from two such simplifications. These models are used to monitor the volume average pressure and temperature changes inside the feedback tanks and exhaust chambers during the filling process. This information is used to determine the frequency and amplitude of the pressure oscillation as well as the operational conditions at which the oscillations begin and end. The numerical simulations are also validated by comparing them with experimental results

Genome-wide association study for agronomic traits in bermudagrass (Cynodon spp.)

Bermudagrass (Cynodon spp.) breeding and cultivar development is hampered by limited information regarding its genetic and phenotypic diversity. A germplasm collection of 206 bermudagrass accessions from 29 countries was genotyped with high-throughput genotyping-by-sequencing technique. Genomic diversity in this diverse germplasm panel was assessed with multifaceted approaches including population structure, phylogenetic analysis, principal component analysis, and genetic diversity parameters. This study revealed substantial genetic variation in the Cynodon accessions, demonstrating the potential of this germplasm panel for further genetic studies and cultivar development in breeding programs. Another critical issue in turfgrass breeding is the lack of information regarding the genetic architecture of traits. Four agronomic traits leaf length, leaf width, internode distance and stem diameter were evaluated in a germplasm panel of common bermudagrass accessions. Then genome-wide association study was performed to dissect the genetic basis of the traits

Improving Precision for x86 Binary Analysis Techniques

Static binary analysis is being used extensively for detecting security flaws in binary programs. Multiple solutions have been proposed to tackle challenges presented by static binary analysis. We propose two methods to improve these solutions for better precision on x86-64 binaries. First, we propose a machine learning based approach to detect compiler and optimization level for a binary program with the aim of augmenting existing heuristic based solutions to fine tune those heuristics. We are able to detect the aforementioned information with 83% precision on coreutils, binutils and SPECCPU2006 binaries. Second, we propose an analysis to detect memory layout from a binary program’s perspective. This analysis aims to enhance existing solutions by allowing them to track values across loads and stores in fine grained memory locations. We are able to detect layout of stack objects with 56.3% accuracy for coreutils, binutils and SPECCPU2006 C binaries

USING SEQUENTIAL ANALYSIS AND SEARCH SPACE MAPPING MACHINE LEARNING TECHNIQUES FOR TROUBLESHOOTING A SOFTWARE DEFINED NETWORK OR A NETWORK FUNCTION VIRTUALIZATION BASED NETWORK

Proposed herein is a technique to utilize a sequential analysis to map the probability of a sequence of commands executed via Command Line Interface (CLI) in order to determine a root cause of a problem in a network. This technique may provide different paths that can be analyzed in order to debug an issue. The sequential analysis may be performed in tandem with an interpreter model that may read text generated by each command, verify whether there is any problem in a sub-segment, and, upon determining a problem, may enable automatic remediation to the problem

PHYSICAL FITNESS LEVELS AMONG 200, 500 AND 1000 METER CANOEING PLAYERS: A COMPARATIVE STUDY

The purpose of this study was to compare Physical Fitness levels among 200, 500 and 1000 Meter Canoeing Players. To obtain data, the investigators had selected Twenty one (N = 21) male Canoeing Player of 19 to 25 years (Mean ± SD: Age: 19.761 ± 2.488 years; Body Mass: 1.749 ± 7.046 kilograms; Body Height: 65.047 ± 9.286 meters) of age to act as subjects. Components of Physical fitness (i.e., Agility, Balance, Coordination, Power, Reaction Time and Speed) were taken up for the present study. Statistical analysis was performed using the Statistical Package for the Social Sciences for Windows version 16.0 software (SPSS Inc., Chicago, IL). Data is expressed as the mean ± SD. One way Analysis of Variance (ANOVA) was employed to find out the intra-group differences. To test the hypothesis, the level of significance was set at 0.05. No significant differences were found in Agility, Balance, Coordination, Power and Speed. However, significant differences were found in Reaction Time.  Article visualizations

NORMS CONSTRUCTION FOR MUSCULAR STRENGTH, MUSCULAR POWER AND MUSCULAR ENDURANCE OF BASKETBALL PLAYERS OF GURU NANAK DEV UNIVERSITY, AMRITSAR, PUBJAB, INDIA

The aim of this study was to construct norms for Muscular Strength, Muscular Power and Muscular Endurance of male Basketball Players. Seventy Two, male Basketball Players of Guru Nanak Dev University, Amritsar between the age group of 19-25 years (Mean ± SD: Age 22.263 ± 1.332 years, Body Height 180.75 ± 6.008 centimeters and Body Mass 77.526 ± 5.960 kilograms) volunteered to participate in the study. Statistical analyses were performed using the Statistical Package for the Social Sciences for Windows version 16.0 software (SPSS Inc., Chicago, IL). The data, which was collected by administering tests, was statistically treated to develop for all the test items. In order to construct the norms, Percentile Scale was used. Further, the scores were classified into five grades i.e., very good, good, average, poor and very poor. In Muscular Strength, the scores below 43.296 are considered very poor, from about 45.995-43.296 is considered poor, 45.995-51.393 is considered average, 51.393-54.092 is considered good and the scores above 54.092 are considered very good. In Muscular Power, the scores below 41.913 are considered very poor, from about 43.991-41.913 is considered poor, 43.991-48.147 is considered average, 48.147-50.225 is considered good and the scores above 50.225 are considered very good. In Muscular Endurance, the scores below 4.39 are considered very poor, from about 5.438-4.39 is considered poor, 5.438-7.534 is considered average, 7.534-8.582 is considered good and the scores above 8.582 are considered very good.  Article visualizations

NORMS AND GRADES UNDER NORMAL DISTRIBUTION FOR BASIC MOVEMENT PATTERNS OF FREESTYLE WRESTLING PLAYER

The aim of this study was to construct norms for Basic Movement Patterns of Freestyle Wrestling Player. Fifty five, male Freestyle Wrestling Player of Guru Nanak Dev University, Amritsar between the age group of 19-25 years volunteered to participate in the study. The 20 Meter Dash Test was used to measure Running Speed, Illinois Agility Test was used to measure Running Agility, Standing Long Jump Test was used to measure Jumping Ability and Overhead Medicine Ball Throw Test was used to measure Throwing Ability. Statistical analyses were performed using the Statistical Package for the Social Sciences for Windows version 16.0 software (SPSS Inc., Chicago, IL). In order to construct the norms, Percentile Scale was used. Further, the scores were classified into five grades (i.e., very good, good, average, poor and very poor). In Running Speed, the scores below 5.149 are considered very poor, from about 4.837-5.49 is considered poor, 4.213-4.837 is considered average, 4.213-3.901 is considered good and the scores above 3.901 are considered very good. In Running Agility, the scores below 17.54 are considered very poor, from about 16.896-17.54 is considered poor, 15.608-16.896 is considered average, 15.608-14.964 is considered good and the scores above 14.964 are considered very good. In Jumping Ability, the scores below 218 are considered very poor, from about 224.409-218 is considered poor, 224.409-237.227 is considered average, 237.227-243.636 is considered good and the scores above 243.636 are considered very good. In Throwing Ability, the scores below 8.983 are considered very poor, from about 10.582-8.983 is considered poor, 10.582-13.78 is considered average, 13.78-15.379 is considered good and the scores above 15.379 are considered very good.  Article visualizations

Synthesis and antiplasmodial activity of regioisomers and epimers of second-generation dual acting ivermectin hybrids

© The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.With its strong effect on vector-borne diseases, and insecticidal effect on mosquito vectors of malaria, inhibition of sporogonic and blood-stage development of Plasmodium falciparum, as well as in vitro and in vivo impairment of the P. berghei development inside hepatocytes, ivermectin (IVM) continues to represent an antimalarial therapeutic worthy of investigation. The in vitro activity of the first-generation IVM hybrids synthesized by appending the IVM macrolide with heterocyclic and organometallic antimalarial pharmacophores, against the blood-stage and liver-stage infections by Plasmodium parasites prompted us to design second-generation molecular hybrids of IVM. Here, a structural modification of IVM to produce novel molecular hybrids by using sub-structures of 4- and 8-aminoquinolines, the time-tested antiplasmodial agents used for treating the blood and hepatic stage of Plasmodium infections, respectively, is presented. Successful isolation of regioisomers and epimers has been demonstrated, and the evaluation of their in vitro antiplasmodial activity against both the blood stages of P. falciparum and the hepatic stages of P. berghei have been undertaken. These compounds displayed structure-dependent antiplasmodial activity, in the nM range, which was more potent than that of IVM, its aglycon or primaquine, highlighting the superiority of this hybridization strategy in designing new antiplasmodial agents.KS thanks SERB, DST for the grant (EMR/2017/000520) and Guru Nanak Dev University, Amritsar for funding under the RUSA-II scheme as well as facilities. MP acknowledges Fundação para a Ciência e Tecnologia, Portugal, for Grant PTDC-SAU-INF-29550/2017. LS is thankful to University Grants Commission (UGC), New Delhi for funding under Rajiv Gandhi National Fellowship.info:eu-repo/semantics/publishedVersio

PROTECTING AGAINST MALICIOUS LOGINS ON VIRTUAL MACHINES USING BLOCKCHAIN

Presented herein are techniques that involve utilizing a blockchain-based methodology that provides a defense against rollback attacks on a virtual machine and is scalable for other application areas. In one example, a solution is provided to avoid rollback attacks during restoration of a virtual machine under the assumption of a malicious host and hypervisor. Techniques presented herein also address problems associated with an untrusted host under certain assumptions

“FORMULATION DEVELOPMENT AND SOLUBILITY ENHANCEMENT OF ROSUVASTATIN CALCIUM BY USING HYDROPHILIC POLYMERS AND SOLID DISPERSION METHOD”

Objective: Preparation of Rosuvastatin Calcium by Using Hydrophilic Polymers and Solid Dispersion Method, Rosuvastatin calcium is a Dyslipidaemic agent, which act as a selective competitive inhibitor of HMG CoA educates enzyme and is used in the treatment of hyperlipidemia. Methods: In the present work, Solid Dispersion was prepared by kneading method to increase the solubility of Rosuvastatin Calcium. Results: Solid dispersions were evaluated by determining percentage yield, drug content, solubility, Scanning electron microscopy (SEM), powder X-ray diffraction (PXRD), DSC and in vitro dissolution profile. The prepared solid dispersion are formulated into capsule dosage form and characterized by various parameters i.e. weight variation, content uniformity, disintegration and dissolution. The evaluated parameters of capsule dosage form increase in solubility and dissolution rate of the pure drug. Conclusion: These are various techniques to enhance the solubility of the drug, such as particle size reduction, use of surfactants, solid dispersion etc. Carriers are the major players in these formulations, e. g. Hydroxypropylmethylcellulose, ethylcellulose, Carbopol, Acacia Gum etc. Carbopol and Acacia Gum is one of the most efficient polymers work as a carrier for these drugs to enhance solubility