Cluster Analysis of Wine Market Segmentation – A Consumer Based Study in the Mid-Atlantic USA

The U.S. wine market has been steadily increasing over the past 15 years. The number of wineries has increased from 2688 in 1999 to 8862 in 2016. About 7% of all those wineries are located in the Mid-Atlantic region, which includes New Jersey, New York, and Pennsylvania. However, competition has been rising as the market is growing. Many foreign wine companies from Europe, South America, and Oceania, are either selling or planning to sell their products to the fast-growing U.S. wine market. It is important to promote local wine industry in the U.S. In this connection, this study has attempted to predict the segment of Mid-Atlantic wine market - based on purchasing behavior, attitudes, and social demographic attributes. A Cluster Analysis used to segment the Mid-Atlantic wine market into four clusters namely Class 1 Detractors, Class 2 Enthusiasts, Class 3 Neutral and Class 4 Advocators. Class 1. Detractors are the cluster that is the most unlikely to buy local wine. Neatly, 67.4% of Detractors indicated that they had never obtained local wine before. 2. Enthusiasts and Class 4 Advocators are the target market of Mid-Atlantic local wineries and hence we should pay more attention to these two market segments. 74.5% of Class 2 indicated that they had bought wine from the Mid-Atlantic wine region. About 60% of Class 4 Advocators stated that they had purchased local wine before. The characteristics of Class 4 are very similar to Class 2. The chance of Class 3 Neutral to buy local wine is 50/50. They drink and buy wine more frequently than consumers in other clusters. Typically, we do not recommend Mid-Atlantic wineries to target this market segment, unless they want to expand their market beyond Class 2 and Class 4. The assessment of perception of consumers will help the producers, wholesalers, and retailers to target ultimate consumers and specific market segments

Documents matches "Temperature- and pressure-dependent Study of 35Cl NQR Frequency and Spin Lattice Relaxation Time in 2,3-dichloroanisole

The temperature and pressure dependence of 35Cl NQR frequency and spin lattice relaxation time (T1) were investigated in 2,3-dichloroanisole. Two NQR signals were observed throughout the temperature and pressure range studied. T1 were measured in the temperature range from 77 to 300 K and from atmospheric pressure to 5 kbar. Relaxation was found to be due to the torsional motion of the molecule and also reorientation of motion of the CH3 group. T1 versus temperature data were analyzed on the basis of Woessner and Gutowsky model, and the activation energy for the reorientation of the CH3 group was estimated. The temperature dependence of the average torsional lifetimes of the molecules and the transition probabilities were also obtained.NQR frequency shows a nonlinear behavior with pressure, indicating both dynamic and static effects of pressure. The pressure coefficients were observed to be positive for both the lines. A thermodynamic analysis of the data was carried out to determine the constant volume temperature coefficients of the NQR frequency. The variation of spin lattice time with pressure was very small, showing that the relaxation is mainly due to the torsional motions of the molecules

Database Management of Vedaranyam Taluk, Nagappattinam District, Tamilnadu using Geographic Information System (GIS)

GIS, known as geographical information system, is the latest tool, a computer system for capturing, storing, checking, integrating, manipulating, analysis in and displacing data related to positions on the Earth’s surface. Typically, a geographical information system or (spatial information system) is used for handling maps of one or another. These might be represented as several different layers each layer holds about a particular kind of feature is linked to a position on the graphically image of a map. With the help of GIS a data base management  including data or demography, occupation, education, health, drinking water, power, telecommunication, roads/transportation, banks& commercial  institutions, agriculture, sanitation, common property resources ,employment, forestry, industries,  marketing facilities, etc.The scope of the work involves  1, data pertaining to geological and geophysical resources, human resources, social and economic infrastructure, etc. should be collected, collected, updated, and retrieval on regular basis, 2, generation of real time, reliable database on natural resources, socio-economic, agro- climatic condition, financial, institutional and environmental data using geo- informatics and 3, data base to cater to the needs of planning sharing information to various user organizations with necessary data analysis, etc and would act as a centralized data base for state govt. department/ institutions/ institutions involved in  development planning

Plant protection through RNAi: Alternative for pesticides and chemical approaches to pest control

RNA interference (RNAi) has become a powerful genetic approach to systemically dissect gene function on a genome wide scale. Double stranded RNA (dsRNA) mediated gene silencing has been proven as a potential approach to control several insect pests including fruit fly, nematode, cotton bollworm, and corn rootworm. RNA interference (RNAi) induced by hairpin RNAs are new line of defence against coleopteran and lepidopteron pests. It was shown that insect larvae fed with plant material expressing dsRNA for the insect genes triggered the RNAi pathway in insect larvae and blocked the expression of target genes. The resulting reduction in larval growth and subsequent death has opened up new options for insect control involving the insect genes perse. Hence, protein targets for insect control strategies can be minimized or completely ignored. Prospecting for novel resistance mechanisms depend on the plant generating an effective form of double-stranded RNA in the absence of an endogenous target gene without detrimental effect to itself. Although the amazing popularity of RNAi as a biotechnology tool is certainly justified, the underlying biology is still being worked out and the relative advantages and disadvantages of the approach are being efficiently addressed using emerging Bioinformatic tools and many genome sequences. In this review we would like to highlight the attempts of pest control using gene silencing or RNAi technology, few strategies, target genes for RNAi in insects, target site of action, and probable likely targets for RNAi in insects and plants for potential durable pest resistance mechanisms. © 2011 by Nova Science Publishers, Inc. All rights reserved

Effect of Curing On the Strength Behaviour of Lime-Fly Ashexpansive Soil Mixes

Expansive soils occupying almost 3 lakh km2 in the Indian subcontinent found to be highly problematic due to their extensive swelling and shrinkage nature. This rapid volume change leads to upliftment of foundations, differential settlements, heaving, rutting, etc. on the overlying structures. Concerning with the above problems an effective, economical and long-term method lime stabilisation was selected. In this work it is attempted to study the effect of curing period on the strength behaviour expansive soil treated with lime and fly ash by conducting triaxial shear (UU) test for 0, 3, 7, 14, 28 days with some twenty different proportions

Composition of Binary Compressed Sensing Matrices

In the recent past, various methods have been proposed to construct deterministic compressed sensing (CS) matrices. Of interest has been the construction of binary sensing matrices as they are useful for multiplierless and faster dimensionality reduction. In most of these binary constructions, the matrix size depends on primes or their powers. In this study, we propose a composition rule which exploits sparsity and block structure of existing binary CS matrices to construct matrices of general size. We also show that these matrices satisfy optimal theoretical guarantees and have similar density compared to matrices obtained using Kronecker product. Simulation work shows that the synthesized matrices provide comparable results against Gaussian random matrices

Saccharin test of mucociliary clearance in Kartagener's syndrome

Saccharin test is a method for estimating mucociliary clearance in the upper respiratory passage. Its application in a clinically diagnosed patient with Kartagener's syndrome is reported

(Dimethyl sulfoxide-κO)bis­(thio­semicarbazide-κ2 N 1,S)zinc dipicrate dimethyl sulfoxide solvate monohydrate

The title complex, [Zn(CH5N3S)2(C2H6OS)](C6H2N3O7)2·C2H6OS·H2O, is composed of a [Zn(thio­semi­carbazide)2(DMSO)]2+ cation (where DMSO is dimethyl sulfoxide), and two picrate anions. In the asymmetric unit, there is also a solvent mol­ecule of DMSO and a water mol­ecule of crystallization. In the cation, the ZnII atom is five-coordinated in a distorted square–pyramidal geometry. It coordinates to the O atom of a DMSO mol­ecule and to the S and one N atom of two thio­semicarbazide mol­ecules, which behave as bidentate ligands coordinating in a trans arrangement. In the crystal, a number of N—H⋯O, O—H⋯O and N—H⋯S hydrogen bonds link the mol­ecules into two-dimensional networks. These networks are further linked via weak C—H⋯O inter­actions, forming a three-dimensional arrangement. Positional disorder in one methyl group of the coordinated DMSO molecule and in the two picrate anions was observed