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This research gives an account of influence of cultural factors on consumers eating habits. Food carries religious, sexual, political and social connotations. The contents of a consumers grocery cart, table setting, serving rituals, time of consumer meal reveals the consumers political preferences, class, gender, religion and nationality. The objective of this study was to find out the role of demographics and psychographics cultural factors, also to study the transition of consumers taking place from local to foreign food. To explore the reasons of consumers to eating out behavior their taste preferences and changing trends in food consumption. The sample included 150 respondents, which included children and students, businessmen, salaried, housewives. Convenience and purposive sampling was used. The tools used were multiple regression, cross tabs and frequency distribution. They were applied and the data was analyzed and interpreted. The survey revealed the findings that there is a significant relationship between age and income on food preferences, Respondents’ in spite of opening up of foreign eateries prefer the food offerings in their local outlets and opening up of new outlets, the greater the capacity of consumers to eat out. Food products offered by the foreign eateries must have a blend of both local and foreign touch to increase their sales in the Local market .A good quality of food plus an entertaining environment by the out must also be provided.

The purpose of this work is to study the influence of the age, ear side and gender on the distortion product Otoacoustic emission for normal hearing subjects. The decision about whether a Distortion Product Otoacoustic Emission is present often depends on a visual assessment of the response along with certain objective criteria, such as DP1 level dB and SNR dB SPL (signal to Noise Ratio). DPOAEs were considered present when the signal was at least 3 dB above the corresponding noise level. In the present study, the overall SNR for each tested ear was more than 3 dB SPL at the overall frequency bands. The findings from this study revealed an age, ear asymmetry and gender effect on the DPOAEs (DP1 level dB) for all subjects groups. Right ears were found to produce higher DPOAEs (DPI level dB) than left ears and The DPOAEs (DP1 level dB) in the females was higher than that in males and also (DPI Level dB) in group I (2-10) years was higher than that in other groups, in group II (11-20) years (DPI Level) was higher than in groups III&IV and in groups III (DPI Level dB) was higher than that in group IV. The results show the minimum and the maximum value of the whole Distortion Product (DP1 Level) recorded for all tested (212) ear was (-3.65dB) and (20.39dB) respectively over frequency bands 0.5, 0.75, 1.0, 1.5, 2.0, 3.0, 4.0, 6.0 and 8.0 kHz.

Aim: The main aim of this study is analysis of job satisfaction and professional commitment between staffs in Kermanshah. Materials and methods: This study is according to descriptive analysis and reaching branch and information gathering tools is question air and for assessing job satisfaction we use briefed and worth 18 question airs and for analysis of professional commitment and organizational commitment receive 83% static and 87% from job satisfaction question air, because crownbakh in both question air is more than 0/7 so both question air necessary static. Sample population volume 150subjects from privet banks in Kermanshah and according to sampling random way some of them had been chosen a stoical population and finally we collected 18 questions airs. Findings: For determining normality of data we use kolomogrove – sminoroph test and results of tests confirm normality of data so meaningful relationship between them had approved.

There is lack of shared vision among the employee and employed. By referring to the Ministry of Education of Malaysia, there is mismatch between keeping the quality management techniques and education process. Current realities on education in Malaysian education is those who control (Education Ministry), there is a crisis of confidence in the ability for institution as school, college and University.

The relationship between carapace length/width - body weight of the red ghost crab Ocypode macrocera was studied at the southern proximity of the Sagar island, western sector of Indian Sundarbans (World’s largest mangrove biome) that faces the regular tidal influences of Bay of Bengal. The females were more abundant (54%) than males (46%) considering the overall sample and the length/width-weight distribution pattern did not show remarkable differences between sexes. The carapace length and width are linearly related to body weight and appeared to be highly significant (P < 0.001) in each case. The regression coefficient (b) of length-weight and width-weight relationship found to be in positive allometry. Moreover, the correlation between weight with length and width is strongly positive in male, female and irrespective of sex. The condition factor (K) value of carapace length between two sexes varies significantly and higher in females. Despite of small sample size, the present study is able to predict the morphometric relationship is useful in stock assessment of the Ocypode macrocera and comparing the different stocks of the same species at different geographical locations.

Analysis of Reversed Hazard Rate (RHR) can provide insights in making it suitable for industrial applications. From the published literature it is learnt that Nature of reversed Hazard rate for standard continuous distributions is a decreasing function. Obviously this makes RHR suitable in the field of maintenance engineering to address hidden failures in a given system. One of its most useful applications lies in the assessment of waiting time of hidden failures. RHR is closely related to another important concept known as the mean waiting time. This concept is useful in casualty insurance, reliability, and medicine including forensic science to predict times of occurrences of events. For instance, the incubation times of diseases, are difficult to measure because the infection time is unobserved in general. Mean waiting time will offer its great help in such situations, which are analyzed and incorporated appropriately in this paper.

A shale sample was evaluated for its elements, minerals and hydrocarbon potential. Elemental analysis by EDS (energy-dispersive x-ray spectroscopy), mineral analysis by XRD (x-ray diffraction), and hydrocarbon potential evaluation by Rock-eval pyrolysis was done. EDS showed Oxygen, Carbon, Silicon, Aluminum, Iron, and Titanium. XRD showed Kaolinite (Dickite), Thaumasite, Calcite, and Quartz as the minerals. Rock-eval showed TOC (total organic carbon) of 15% by weight. Evaluation suggests the shale to have a good hydrocarbon generation potential and Titanium.

The study was designed to assess the level of farmers’ participation in organic farming practices in a rural farming community using a sample of 63 randomly selected farmers. The results show that there is a general awareness of climate change among the respondents. In addition, majority of the farmers considered the rise in temperature as the most prominent indicator of climate change in the research area. The major specific change considered to be as a result of climate change was the late on set of rainfall. The farmers moderately participated in organic farming practices but not deliberately to mitigate climate change. It was therefore recommended that extension agents should enlighten farmers on the potentials of organic farming practices in mitigating climate change.

Several investigations have established that the formability of sheet metal can be assessed from the stress-strain relationship(Sing,W.M and Rao,K.P[1997]). A true stress-strain curve is frequently called a flow curve because it gives the stress required to cause the metal to flow plastically to any given strain. In this paper the flow curve is used for modelling. A model based on an Artificial Neural Network (ANN) is introduced to reveal the flow curve of IF steel of thickness 0.85 mm non-coated. After using experimental data to train and test it, the model is applied to new data for prediction of the flow curve. Flow curve represents the basic plastic flow characteristics of the material.

Supplier selection and allocating orders to supplier is a complex multi objective problem which includes both quantitative and qualitative factors. In order to achieve an efficient solution in the quantitative factors, a Multi Objective Fuzzy Linear Programming [MOFLP] model with fuzziness in objective, resources, technological coefficient and resources for the proposed weighted additive model and it is compared with zimmermann method to help the management to allocate the optimum order quantities, in which the three objectives are to optimize purchasing cost, quality, and service and satisfy constraints like supplier’s capacity, supply chain demand etc are considered. The model has been applied to supplier selection of a high technology company named Multi-Flex Lami-Print Ltd which manufactures Flexible Packaging materials. In fuzzy supplier selection problem four different cases are considered to incorporate the uncertainty by zimmermann and weighted additive method. The result shows that the model is effective and applicable to industries.