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Present study aims to investigate the determinants of the factors affecting the adjustment of teenagers at school and home. For any growing child the school and home play a major role in fulfilling its growth needs, since growth is dependent upon these immediate environments. Using the cross sectional data, collected through the questionnaire, of 60 students of age 16 years to 19 years from various public and private schools. Collected data was as analysed with the help of various statistical tests. The results reveal the positive and significant association among the adjustment and the indicators of both school and home environment. The overall highest value of correlation coefficient is found to be .505 for toilet facility while the lowest value is .231 for communication gap with parents. The role of parents’ education, age and gender is also crucial. The study also shows that mostly students are facing home sickness while they are in schools. The teacher’s attitude and school environment are negatively affecting the adjustment of the students. School facilities have positive influence on students’ pleasure. On the basis of findings, the study concludes that the students are somehow adjusted in the school and home environment.

In distinguishing two sizes of three Iraniandry date cultivars, the acoustic system and artificial neural network was combined for the first time. Various features obtained from sound analysis were entered as ANN input set. Appropriate features have significant effect in final result of the network. Frequency features of sound signals are computed via a 1024-point FFT. Fast Fourier Transform (FFT), Phase and Power Spectral Density (PSD) of impact signals were calculated. Several combinations of selected and extracted features were used as input set in a multilayer perceptron neural network with a back propagation algorithm, with 60%-25%-15% of data astraining, validation and testing sets.The optimized MFNN was distinguished Dayiri sizes with 93.687Correct Detection Rate (CDR), Piarum sizes with 81.035 CDR and Zahidisizes with 91.

Extreme flood events in river Jhelum are a major disaster in the State of Jammu & Kashmir, India. In the present study HEC-RAS model was applied to two different reaches of river Jhelum located upstream and downstream of the historic city of Srinagar. The vulnerability of important areas and structures corresponding to 25, 50 & 100 year return period flood events was determined. The levels of the bunds of river Jhelum were found to be inadequate at many places for 100 year return period flood. The flood spill channel constructed for safeguarding Srinagar city was found to be ineffective for conveying optimized flow.

The unified power quality conditioner (UPQC) is being used as a universal active power conditioning device to mitigate both current and voltage harmonics at a distribution side of power system network. This paper emphasis enhancement of power quality by using UPQC with fuzzy logic controller(FLC)and proportional- integral(PI)controller. The main purpose of the proposed (FLC)is capable of providing good static and dynamic performances compared to PID controller.

In India Green Buildings have got good results and benefits. The benefits include reduction in power consumption of 20-40% and 30-40% reduction in the consumption of portable water. The Indian Green Building Council (IGBC) has validated the benefits. IGBC has totally wiped the notion that Green Buildings are costlier. Green Buildings has got the benefits like high productivity of the occupants, safety of occupants and also best operating practices fro day one. Green Buildings can be constructed with an incremental cost of 1-7%. Many Green Buildings have been monitored for the past 5 years on the view of energy savings. The new technologies , various methods and issues faced during the implementation and solving them were discussed.

The wide variety of waveforms in EEG signals and the high non-stationary nature of many of them is one of the main difficulties to develop automatic detection systems for them. In sleep stage classification a relevant transient wave is the K-complex. This report comprehends the developing of new Fuzzy_Neural algorithm in order to achieve an automatic K-complex detection from EEG raw data. The Fuzzy c-means algorithm is used for the rough and rapid recognition of K-complex and the Neural Network classifier does the exact evaluation on the detected K-complex. This Pattern recognition technique is a hardware independent solution for the biomedical signal processing field. This represents a significant criterion for the objective assessment of a patient’s sleep quality.

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.