Effect of Nuclear Family in Participation of Activities

In nuclear families parents pay more attention to child education; they plan school, college, career after discussion with field experts. Such consciousness increases their intention towards quality education. Parents belonging to nuclear family pay more money rather than a conventional family. Parents have become more concerned for child In other families attention on a child is distributed and unable to concentrate child only. This social trend influence child performance and quality education. They have a financial plan also regarding the study

Survey on Security Issues in Cloud Computing Environment

ABSTRACT: Cloud has introduced a new concept of provision of on-demand resource to services on internet. Cloud provides an attractive model while allowing the service providers to save cost. It allows users to free themselves of tasks of resource management i.e. most efficient use of resources. It also allows centralization of information and resources so that the users can access them from anywhere using the internet. Generally the resources used to provide services belong to a third party. As the users don't have to invest capital in such resources it decreases costs. Even though cloud model is lucrative, users have been hesitant in adopting it, the major reason being security concern regarding their private data. In this paper we discuss about various security concerns in cloud environment

Antiangiogenic activity of zinc and zinc-sorafenib combination using the chick chorioallantoic membrane assay: a descriptive study

Background: Zinc, a trace element, is known for downregulating several proangiogenic growth factors and cytokines. However, its antiangiogenic activity is not adequately studied. The present study was aimed to evaluate the possible antiangiogenic activity of zinc via the chick chorioallantoic membrane (CAM) assay. Also, the antiangiogenic activity of the combination therapy of zinc with various doses of sorafenib, a tyrosine kinase inhibitor, was evaluated.Methods: A pilot study was initially conducted so as to select suitable doses of zinc and sorafenib. The antiangiogenic activity after combining zinc 2.5 μg/embryo with sorafenib 1, and 2 μg/embryo was also evaluated. The antiangiogenic activity was quantified in terms of total length of blood vessels, number of junctions, number of branching points, and mean length of the blood vessels.Results: Zinc 2.5 μg/embryo showed significant (p 0.05) to that of sorafenib 2 μg/embryo.Conclusions: Zinc caused significant antiangiogenic activity in the CAM assay. The lack of addition/synergism in the zinc-sorafenib combination could have been due to the variability in the dose/ratio selection. Addition of zinc to sorafenib therapy could improve treatment tolerability, reduce cost of therapy, and reduce the emergence of drug resistance. Future mechanistic studies could identify the exact pharmacodynamics of zinc as an angiogenesis inhibitor

Influence of elevated carbon dioxide and ammonium nutrition on growth and nitrogen metabolism in wheat (Triticum aestivum)

Growth under elevated CO2 (EC) conditions inhibits nitrate (NO3-) assimilation in crop plants, hence ammonium (NH4+) nutrition is beneficial compared to NO3– nutrition under EC conditions. In the present study, an attempt was made to compare the suitability NH4 + vs mixed NH4 + + NO3 – nutrition in wheat (Triticum aestivum L.). Wheat seedlings supplied with NH4+ alone or with both NH4+ + NO3– as nitrogen (N) source and grown under ambient (380 μl/l, AC) or elevated (600±50 μl/l, EC) CO2 conditions were analyzed for growth and biochemical parameters. Plants receiving only NH4+ as N source showed significant reduction in growth parameters. The negative effects of NH4+ nutrition were manifested in form of reduced root length, root surface area and thinner leaves under EC. Negative effects of NH4+ nutrition were ameliorated in plants receiving mixed NH4 + + NO3 – nutrition. Supplementing NO3 – -N with NH4+ -N led to the enhancement of various morphological and biochemical parameters in EC grown plants. Activity and gene expression of the enzymes, nitrate reductase and glutamine synthetase was significantly higher in plants supplied with both NH4+ + NO3– ions and grown in EC, as compared to plants grown in AC, resulting in lesser reduction in N content of the EC grown plants. Our study indicates that mixed NH4+ + NO3– nutrition will be more suitable for wheat cultivation under high CO2 conditions in future

A novel homomorphic RASD framework for secured data access and storage in cloud computing

In the distributed computing worldview, the client and association’s information is put away remotely on the cloud server. Clients and associations can get to applications, administrations, and foundation on-request from a cloud server through the internet, withstanding the various advantages, numerous difficulties, and issues that endure verifying cloud information access and capacity. These difficulties have featured additional security and protection issues as cloud specialist co-ops are exclusively in charge of the capacity and handling of the association’s information out of its physical limits. Hence, a robust security plan is required in order to ensure the association’s touchy information emerges to keep the information shielded and distant from programmers. Over the globe, specialists have proposed fluctuated security structures having an alternate arrangement of security standards with changing computational expense. Down to earth usage of these structures with low calculation cost remains an extreme test to tackle, as security standards have not been characterized

ASSESSING SOFTWARE RELIABILITY USING GENETIC ALGORITHMS

The role of software reliability and quality improvement is becoming more important than any other issues related to software development. To date, we have various techniques that give a prediction of software reliability like neural networks, fuzzy logic, and other evolutionary algorithms.  A genetic algorithm has been explored for predicting software reliability.  One of the important aspects of software quality is called software reliability, thus, software engineering is of a great place in the software industry. To increase the software reliability, it is mandatory that we must design a model that predicts the fault and error in the software program at early stages, rectify them and then increase the functionality of the program within a minimum time and in a low cost. There exist numerous algorithms that predict software errors such as the Genetic Algorithm, which has a very high ability to predict software bugs, failure and errors rather than any other algorithm. The main purpose of this paper is to predict software errors with so precise, less time-consuming and cost-effective methodology. The outcome of this research paper is showing that the rates of applied methods and strategies are more than 96 percent in ideal conditions.

A Study of the College Self-Efficacy Inventory and Its Impact on University Students' Academic Success

ABSTRACT The purpose of this study was to apply the College Self-Efficacy Inventory (CSEI) scale to measure the social and psychological factors on Indian students. The major research question of the study is to answer whether the CSEI scale fit the data. Our study supports Barry et al. (200

EVALUATION OF ANTIBIOTIC SENSITIVITY TEST RESULTS IN CLINICAL ISOLATES FROM VARIOUS ICU AT TERTIARY CARE HOSPITAL.: antibiotic sensitivity results from various ICU of hopsital

Introduction Antimicrobial resistance seriously hampers treatment of nosocomial infections and leads to increased morbidity, mortality and healthcare costs, especially true for patients admitted to intensive care units. Day by day overuse of antibiotics, it gives rise to increase resistant patterns. Because increase in antibiotic resistance will lead to increase hospital stay and cost, also will rise morbidity and mortality. Especially it is true for ICU, whereas antibiotics consumption is higher than wards. Aim: To study bacteriological profile of clinical isolates,To studyAntibiotic sensitivity patterns of isolates from various ICU and to provide Antibiotic sensitivity pattern to clinicians.   Material & Method: Different samples were received from all ICU from which different microorganisms grown by culture. Identification of microorganisms done by different biochemical reactions and antibiotic sensitivity testing done by manual Kirby disk diffusion method as standard manual protocol.   Result: In present our study, Acinetobater is more prevalent that is 28% followed by E.coli (22%), Pseudomonas spp (18%) and Klebsiellaspp (17%).Acinetobacter species was highest in NICU (25 %) and MICU (40 %) while E.coli was highest in PICU (39 %) and SICU (39 %), Pseudomonas spp. (28 %) was highest in ICCU patients. Most effective drugs are Levofloxacin, Imipenem, Piperacillintazobactam and Amikacin.   Discussion & Conclusion:   Antimicrobial resistance is emerging problem worldwide especially in ICU. So its very important to know resistant pattern and to formulate antibiogram of antibiotics for better management care of patient in all clinical set up. Which may help to patient escalation and de-escalation of antibiotics