354 research outputs found
A study on the impact of transmission power on the message delivery latency in large ZigBee networks
Antibacterial and analgesic activity of leaves of Lantana camara
The leaves of the plant Lantana camara were extracted with different solvents and screened for their antibacterial and analgesic activities. The chloroform and methanolic extract of the plant Lantana camara has showed the presence of four alkaloid compounds each. Antibacterial activity was evaluated using MIC method against bacteria. The analgesic activity of different extracts of Lantana camara leaves is evaluated by Eddy’s hot plate method where the responses are jumping withdrawal of paws and licking of paws. This study demonstrates that leaf powder of Lantana camara has significant antibacterial and analgesic activities
Stacking of Hyperparameter Tuned Models for Tagging Coding Problems
Coding problems are problems that require a solution in the form of a
computer program. Coding problems are popular among students and professionals
as it enhances their skills and career opportunities. An AI system that would
help those who practice coding problems would be highly useful and there is a
huge potential for such a system. In this work, we propose a model which uses
stacking of hyperparameter tuned boosting models to achieve impressive metric
scores of 77.8% accuracy and 0.815 PR-AUC on the dataset that was scraped from
Codeforces and Leetcode. We open source the dataset and the models developed
for this work.Comment: 8 pages, 2 figure
A new framework to alleviate DDoS vulnerabilities in cloud computing
In the communication age, the Internet has growing very fast and most industries rely on it. An essential part of Internet, Web applications like online booking, e-banking, online shopping, and e-learning plays a vital role in everyday life. Enhancements have been made in this domain, in which the web servers depend on cloud location for resources. Many organizations around the world change their operations and data storage from local to cloud platforms for many reasons especially the availability factor. Even though cloud computing is considered a renowned technology, it has many challenges, the most important one is security. One of the major issue in the cloud security is Distributed Denial of Service attack (DDoS), which results in serious loss if the attack is successful and left unnoticed. This paper focuses on preventing and detecting DDoS attacks in distributed and cloud environment. A new framework has been suggested to alleviate the DDoS attack and to provide availability of cloud resources to its users. The framework introduces three screening tests VISUALCOM, IMGCOM, and AD-IMGCOM to prevent the attack and two queues with certain constraints to detect the attack. The result of our framework shows an improvement and better outcomes and provides a recovered from attack detection with high availability rate. Also, the performance of the queuing model has been analysed
Formulation and evaluation of sustained release microspheres of rosin containing aceclofenac
Aceclofenac was microencapsulated using rosin by o/w emulsion solvent evaporation
technique. The effect of three formulation variables including the drug:polymer ratio,
emulsifier (polyvinyl alcohol) concentration and organic solvent (dichloromethane) volume
were examined. The prepared batches were characterized for microspheres particle size
distribution, encapsulation efficiency and in vitro release behavior. The study reveals that
drug:polymer ratio had a considerable effect on the entrapment efficiency, however particle
size distribution of microspheres was more dependent on the volume of dichloromethane and
polyvinyl alcohol concentration rather than on the drug: polymer ratio. Drug, polymer
concentrations were varied to obtain optimum release profile for sustaining the action of the drug
Genetic variability studies in amaranthus (Amaranthus spp.)
An investigation was carried out to estimate the nature and extent of genetic variability​ ​among twenty Amaranthus genotypes (Amaranthus spp.) under a randomized block designduring the year 2019-20. The phenotypic coefficient of variation was higher than the genotypic​ ​coefficient of variation for all the traits. High genotypic coefficient of variation (GCV) and​ ​phenotypic coefficient variation (PCV) was observed for leaf area, leaf area index, leaf area​ ​duration, AGR, dry weight of leaf per plant, specific leaf weight, speed of germination,​ ​chlorophyll content and ascorbic acid (vitamin C). Moderate GCV and PCV were observed​ ​for leaf length, leaf width, petiole length, dry weight of stem per plant, leaf: stem ratio and​ ​foliage yield per plant. The high estimates of heritability coupled with higher values of genetic​ ​advance as per cent mean (GAM) were observed for the parameters like test weight, speed of​ ​germination, germination percentage, seedling dry matter, seedling vigour index-1, seedling​ ​vigour index-2, plant height, leaf length, leaf width, leaf area, leaf area index, leaf area​ ​duration, AGR, specific leaf weight, stem weight per plot, dry weight of leaf, dry weight of​ ​stem, leaf: stem ratio, foliage yield per plant, chlorophyll, ascorbic acid and beta- carotene​ ​content which indicates the predominance of additive gene action. Arka Arunima,​ ​Chikmagalur local, IC-551486, IC-551494 and IC-551466 recorded high foliage yield per​ ​plot and these can be utilized in further breeding programmes
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