Impact of Cultural Elements on Brand Preferences An Explorative Research

Building a brand and creating a professional image requires a thorough understanding of culture. Different civilizations have unique passions, convictions, values, and traditions. Culture-specific expectations and boundaries exist. Products and services reflect culture, and they frequently express the symbolic cultural meaning associated with them. A marketer has an advantage over rivals by being aware of the culture and family structure and consumption patterns. Cultural variables have a big impact on people's decisions to purchase and consume. The research aimed to verify whether there is an impact of cultural elements on brand preference and whether their profile factors differentiate the impact of culture on brand preference. The research reveals that the influence of culture on brand choice is consistent across age groups, family sizes, family types, jobs, and respondents' religious affiliations. Regarding how culture influences brand choice, male and female responses differ significantly. The languages that they speak have an impact on how much culture impacts brand preferences. Keywords: Culture, Brand, Preference, Cultural Elements. JEL Classification: M 31 DOI: 10.7176/EJBM/15-10-03 Publication date:May 31st 202

CMOS Logic Design with FINFETS Using 32nm TECHNOLOGY

In this paper we propose double gate transistor i.e. FINFETS circuits. It is the substitute of bulk CMOS that mean without any compromise in fabrication process except one or two changes. Actually bulk CMOS suffers high power consumption and high leakage currents .so we implement a various novel circuits i.e FINFETS logic design style in 32nm technology and analyzing various parameters like power dissipation, delay, frequency are observed in this paper. In here we notice that less power consumption in FINFETS when compared to ordinary bulk CMOS. We also check the other submicron technology compared to that this submicron technology got less power consumption

A Rare Association of Congenital Diaphragmatic Hernia with Lower Esophageal Atresia and Perforation

Congenital diaphragmatic hernia is known to be associated with esophageal atresia, which is a rare association. We report a rare occurrence of congenital diaphragmatic hernia and lower esophageal atresia

Comparative Analysis of CNTFET and CMOS Logic based Arithmetic Logic Unit

This paper proposes the novel low power and area efficient ALU (Arithmetic and Logic Unit) using adder and multiplexers. The adder and multiplexer are realized by using CNTFET (Carbon Nano Tube Field Effect Transistor) A verilog model of MOSFET (Metal Oxide Semiconductor Field Effect Transistor) in cadence spice software. The proposed ALU is simulated using Monte carlo simulation at 0.9 sub threshold voltage tested with 45 nm technology for the measurement of power and transistor counts. The power consumption of CNTFET based ALU is found to be 45.67 % better than the existing technologies

Exploring farmers’ communication pattern and satisfaction regarding the adoption of Agromet advisory services in semi-arid regions of southern India

Agriculture is significantly impacted by the variability in weather patterns, imposing substantial constraints on farmers’ ability to make informed tactical and strategic decisions regarding their crops. Seasonal climate projections have shown potential for informing agricultural decisions, but the actual adoption of climate information by farmers has been relatively slow and limited. The present study was conducted with the objective of investigating the characteristics of adopters, the communication network, and the level of farmer’s satisfaction concerning the adoption and continued use of Agromet Advisories Services (AAS). Two semi-arid districts, namely Kurnool and Anantapur in Andhra Pradesh, were purposively selected, wherein 280 farmers constituted the sampling frame. In this study, social network analysis (SNA) was conducted to examine the peer-to-peer communication patterns, while importance-performance analysis (IPA) was employed to evaluate farmer’s satisfaction, contributing to the continued adoption of AAS. The findings revealed that with regard to personality and communication characteristics, farmers were in the low category for their ability to cope with uncertainties and risk and even for their information-seeking behavior. Furthermore, the results showed farmers to be highly satisfied with the overall adoption of AAS. However, the IPA matrix revealed that among the nine attributes, the credibility of the forecasts needed refinement to promote sustained adoption. Excessive emphasis was placed on attributes such as the frequency of forecasts, which could be channeled into other initiatives. Peer-to-peer communication emerged as a crucial strategy in the adoption of AAS. Governments, non-governmental organizations, and extension functionaries should make a concerted effort to enhance the continued adoption of AAS by involving local stakeholders in sharing and participating in climate information production, forming farmer’s groups, and focusing on farmers’ literacy toward AAS

Assessing unrealized yield potential of maize producing districts in India

The projected demand of maize production in India in 2050 is 4–5 times of current production. With the scope for area expansion being limited, there is need for enhancement of yield. This calls for identifying areas where huge unrealized yield potential exists. With a view to address the issue, the present study delineates homogeneous agro-climatic zones for maize production system in India taking district as a unit and using the factors production, viz. climate, soil, season and irrigated area under the crop. There are 146 districts in India that grow maize as a major crop. They were divided into 26 zones using multivariate cluster analysis. Study of variation in yield between districts within a zone vis-à-vis crop management practices adopted in those districts was found useful in targeting the yield gaps. These findings can have direct relevance to the maize farmers and district level administrators

Maternal Colonization With Group B Streptococcus and Serotype Distribution Worldwide: Systematic Review and Meta-analyses.

Background: Maternal rectovaginal colonization with group B Streptococcus (GBS) is the most common pathway for GBS disease in mother, fetus, and newborn. This article, the second in a series estimating the burden of GBS, aims to determine the prevalence and serotype distribution of GBS colonizing pregnant women worldwide. Methods: We conducted systematic literature reviews (PubMed/Medline, Embase, Latin American and Caribbean Health Sciences Literature [LILACS], World Health Organization Library Information System [WHOLIS], and Scopus), organized Chinese language searches, and sought unpublished data from investigator groups. We applied broad inclusion criteria to maximize data inputs, particularly from low- and middle-income contexts, and then applied new meta-analyses to adjust for studies with less-sensitive sampling and laboratory techniques. We undertook meta-analyses to derive pooled estimates of maternal GBS colonization prevalence at national and regional levels. Results: The dataset regarding colonization included 390 articles, 85 countries, and a total of 299924 pregnant women. Our adjusted estimate for maternal GBS colonization worldwide was 18% (95% confidence interval [CI], 17%-19%), with regional variation (11%-35%), and lower prevalence in Southern Asia (12.5% [95% CI, 10%-15%]) and Eastern Asia (11% [95% CI, 10%-12%]). Bacterial serotypes I-V account for 98% of identified colonizing GBS isolates worldwide. Serotype III, associated with invasive disease, accounts for 25% (95% CI, 23%-28%), but is less frequent in some South American and Asian countries. Serotypes VI-IX are more common in Asia. Conclusions: GBS colonizes pregnant women worldwide, but prevalence and serotype distribution vary, even after adjusting for laboratory methods. Lower GBS maternal colonization prevalence, with less serotype III, may help to explain lower GBS disease incidence in regions such as Asia. High prevalence worldwide, and more serotype data, are relevant to prevention efforts

2006 A heuristic based on multi-stage programming approach for machine-loading problem in a flexible manufacturing system. Robotics and Computer-Integrated Manufacturing 22

Abstract Manufacturing industries are rapidly changing from economies of scale to economies of scope, characterized by short product life cycles and increased product varieties. This implies a need to improve the efficiency of job shops while still maintaining their flexibility. These objectives are achieved by Flexible manufacturing systems (FMS). The basic aim of FMS is to bring together the productivity of flow lines and the flexibility of job shops. This duality of objectives makes the management of an FMS complex. In this article, the loading problem in random type FMS, which is viewed as selecting a subset of jobs from the job pool and allocating them among available machines, is considered. A heuristic based on multi-stage programming approach is proposed to solve this problem. The objective considered is to minimize the system unbalance while satisfying the technological constraints such as availability of machining time and tool slots. The performance of the proposed heuristic is tested on 10 sample problems available in FMS literature and compared with existing solution methods. It has been found that the proposed heuristic gives good results.