ON SELECTING BEST IFRA POPULATION:A LARGE SAMPLE APPROACH

The Principles Problem of ranking and selection is to select the Best Population among the several population are usually based on the some parameters of the underlyning family.one such way to select a population that belongs to some parametric family

Self concept, level of aspiration and academic achievement of physically challenged and normal students at secondary level in district Barramullah

This study was undertaken to study the self concept, level of aspiration and academic achievement of normal and physically challenged secondary school students of district Baramullah(J and k).The sample for the study was 300 including 150 normal and 150 physically challenged secondary school students by using random and purposive sampling technique. Sagar and Sharma's self concept inventory, Mahesh Bhargava and M.A.Shah's level of aspiration scale were administered for the collection of data. The result of the study highlight that the normal secondary school students have high real self, level of aspiration and academic achievement as compared to physically challenged students. On the other hand, physically challenged students were found to have high ideal self as compared to normal students. Key words: Self concept, level of aspiration, academic achievement, physically challenged, normal student

An efficient reconfigurable geographic routing congestion control algorithm for wireless sensor networks

In recent times, huge data is transferred from source to destination through multi path in wireless sensor networks (WSNs). Due to this more congestion occurs in the communication path. Hence, original data will be lost and delay problems arise at receiver end. The above-mentioned drawbacks can be overcome by the proposed efficient reconfigurable geographic routing congestion control (RgRCC) algorithm for wireless sensor networks. the proposed algorithm efficiently finds the node’s congestion status with the help queue length’s threshold level along with its change rate. Apart from this, the proposed algorithm re-routes the communication path to avoid congestion and enhances the strength of scalability of data communication in WSNs. The proposed algorithm frequently updates the distance between the nodes and by-pass routing holes, common for geographical routing. when the nodes are at the edge of the hole, it will create congestion between the nodes in WSNs. Apart from this, more nodes sink due to congestion. it can be reduced with the help of the proposed RgRCC algorithm. As per the simulation analysis, the proposed work indicates improved performance in comparison to conventional algorithm. By effectively identifying the data congestion in WSNs with high scalability rate as compared to conventional method

Association of APOA1-75G/A and +83C/T polymorphic variation with acute coronary syndrome patients in Kashmir (India)

Introduction: Acute coronary syndrome (ACS) comes under the ambit of cardiovascular disease.APOA-1 gene plays a vital role in lipid metabolism and has been observed to have plausible role in ACS. This cross sectional case-control study was conducted to evaluate association between APOA1-75G/A(rs1799837), +83C/T (rs5069) genotypes and risk for ACS. Methods: The current case-control study that included confirmed 90 ACS cases and 150 healthy controls were genotyped for APOA1-75 G/A and +83 C/T by Polymerase Chain Reaction-Restriction Fragment Length Polymorphism (PCR-RFLF) method. Results: APOA1-75G/A distribution of genotypes/alleles among cases and controls was seen proportionally same with no association to ACS (P = 0.5). APOA1+83 C/T variants showed protective effect with ACS where variant TT genotype presented more in controls (12%) than cases (1.6%) (P = 0.004) and likewise variant ‘T’ allele was found more in controls than ACS cases (9.4% vs.28.5% respectively: P < 0.05). Further, significantly high difference of CT genotype was seen among cases and controls 15% vs. 33% respectively (P = 0.002). The overall distribution of different haplotypes showed a marked difference in GT when compared with GC between cases and controls (P = 0.0001). Conclusion: The study shows that TT genotype and variant T allele of APOA1 +83 C/T depicted a protective role with respect to ACS whereas APOA1-75G>A showed no relation. Haplotype GT was observed to significantly over-represent in controls with its protective effect in ACS as against wild type haplotype GC

Implications of risk conferred by 5p15.33 loci genetic variants; human telomerase reverse transcriptase rs2736098 and rs2736100 in predisposition of bladder cancer

Background: The polymorphic variations of human telomerase reverse transcriptase (hTERT) gene play an important role in predisposition to carcinogenesis. The current study aimed to elucidate the genetic predisposition to bladder cancer in two important variants, rs2736098 and rs2736100 of hTERT gene. Materials and methods: Confirmed 130 patients of bladder cancer and 200 healthy controls were genotyped by PCR-RFLP to determine different variants of hTERT rs2736098 and rs2736100. Results: hTERT rs2736098 homozygous variant AA genotype frequency was observed to significantly differ 2-fold between cases and controls (26.15% vs. 13.5%) (p = 0.02). In addition, rare ‘A’ allele significantly differed among two groups (cases: 47% versus controls: 39%: p = 0.03). hTERT rs2736098 was observed to be presented significantly more in high stage tumors (p = 0.02). hTERT rs2736100 genotype AA or variant allele A showed no significant difference between cases and controls. Haplotype CA displayed significantly different pattern of frequency as 0.5 in cases as compared to 0.16 in controls (p < 0.0001). Combination of variant A/G haplotype frequency implicated more in cases than in controls (0.34 vs. 0.16, p = 0.001). Conclusions: It is concluded that hTERT rs2736098 polymorphic variant has a vital role to confer a strong risk to bladder cancer in our population. Further, hTERT haplotypes CA and AG inhTERT could prove to be a promising tool to screen the risk for bladder cancer

Electrochemical oxidation of methylene blue dye in wastewater using mechanically alloyed high entropy alloy modified carbon paste electrode using cyclic voltammetry

Mechanical alloying is one of the popular, simple, and easy powder metallurgy methods to prepare nanostructured high entropy alloys (HEA). HEAs are modern-day alloys that exhibit significantly improved properties and are used in many unique applications. One such application is using HEA powders for determining the methylene blue dye in wastewater using cyclic voltammetry. We have successfully synthesized the HEA powder of composition 25Fe-19Cr-19Ni-18Ti-19Mn by planetary ball mill and studied their phases, surface morphology, and particle sizes by x-ray diffraction (XRD), scanning electron microscope (SEM) and transmission electron microscope (TEM) respectively. We have fabricated the HEA-modified carbon paste electrode (HEA-MCPE) to study the electrochemical oxidation of methylene blue (MB) dye present in the wastewater. MB is a cationic dye that is toxic, and carcinogenic in high doses; generally used in textile, paper, and leather industries for coloring purposes and discharged into the water sources and thus creating a threat to aquatic animals and humans. Therefore, we must determine the MB dye in waste water regularly. Our fabricated electrode can detect MB dye in wastewater over a pH range of 6 to 7.6 with a significant current response. We have found that, the 4 mg HEA-MCPE and pH 6 are the optimal experimental conditions for achieving a higher rate of electro-oxidation of MB dye. The calculated active surface area for bare and HEA-MCPE is found to be 0.180 and 0.918 cm ^2 respectively. We have found out that, increase in the concentration of MB from 1 mM to 5 mM increases the anodic peak current linearly due to the increased molecular interaction and the mobility of electrons between the analyte and the electrode surface

A Comprehensive Review of Geographic Routing Protocols in Wireless Sensor Network

To analyses the impact of high mobility, dynamic topologies, scalability and routing due to the more dynamic changes in network. To enhance mobile Ad-hoc network (MANET) self-organization capabilities by geographical routing algorithm during mobility. In this paper, a survey has been carried out on geographic routing protocols, such as hybrid routing, Greedy Routing, face-2 Algorithm, Perimeter Routing, quasi random deployment (QRD) techniques and time of arrival (TOA). An optimized multipath routing in wireless sensor network (WSN), energy utilization, detection of anonymous routing, node mobility prediction, data packet distribution strategies in WSN is analyzed. Geographic routing offers previous data packet information such as physical locations, packet elimination dependencies, storage capacity of topology, Associate costs and also identifies the dynamic behavior of nodes with respect to packets frequencies.</jats:p