jbas

journal-basic-applied-scien

Comparison of Wind Potential of Ormara and Jiwani (Balochistan), Pakistan
Pages 411-419Creative Commons License

 

Tariq Jamil and G.S. Akram Ali Shah

DOI: http://dx.doi.org/10.6000/1927-5129.2016.12.64
Published: 03 November 2016

Abstract: This paper presents comparison of wind potential of Ormara and Jiwani and evaluation of Weilbull distribution function for two coastal areas of Balochistan. Ten years data (1998-2007) of wind speed have been obtained from Pakistan Meteorological Department (PMD) of Karachi, Pakistan. The analysis of wind data is carried out and fitted by Weibull function. The two parameters of the distribution are also evaluated. Monthly mean wind speed of two coastal locations (Ormara and Jiwan) was also predicted.

Keywords: Wind energy, Weibull distribution, Weibull Parameters, Scale Parameter and Shape Parameter.

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journal-basic-applied-scien

Association between Body Image and Marital Satisfaction in Married Adults
Pages 420-425Creative Commons License

 

Azra Shaheen, Uzma Ali, Haresh Kumar and Pirbho Mal Makhija

DOI: http://dx.doi.org/10.6000/1927-5129.2016.12.65
Published: 04 November 2016

Abstract: Objective: To determine the association between body image and marital satisfaction in married adults.

Study Design: A Correlation/ Cross-sectional study

Setting and Duration: The study was carried out in Karachi, Pakistan, over a period of three months.

Subjects and Methods: The study was conducted after seeking approval from the Board of Advance Studies and Research (BASR), University of Karachi, Pakistan. A total sample of 200 married adults (100 males and 100 females) was selected purposively for the study. The age range of the target group was 22 to 40 years (mean age 34 years; SD=5.13) with minimum of 2 years and maximum of 20 years of marriage. Entire sample had middle socioeconomic status and their education level was from graduation and above. The subject completed the Demographic Information, Multidimensional Body Self-Relations Questionnaire (MBSRQ) and Kansas marital satisfaction scale. Responses were scored according to the producer given in the manuals.

Results: Mean ± SD of age was 34.27±7 years. Mean ± SD of duration of marriage is 2 years and 5 months. Significant (P<.05) correlation was found between body image and marital satisfaction among married adults and analysis of different variables of body image showed that fitness evaluation and body area satisfaction were positively correlated with marital satisfaction while appearance evaluation and subjective weight were negatively correlated. Above body image variables were also found to be significant predictors of marital satisfaction in married adults

Conclusion: It is to be concluded that body image is an important predictor in marital satisfaction.

Keywords: Body Image, Marital Satisfaction, Adults, married, body image variables.

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journal-basic-applied-scien

Preliminary Studies for Dosimetric Response of a Synthetic Dye for Gamma Dosimetry
Pages 406-410Creative Commons License

 

Muhammad Khawar Hayat, Ramiza, Taqmeem Hussain, Abdul Hanan Saeed, Inam ul Haq and Nasim Akhtar

DOI: http://dx.doi.org/10.6000/1927-5129.2016.12.63
Published: 24 October 2016

Abstract: Aqueous solutions of Sandalfix Orange C2RL (SO) dye were used to check its feasibility as a new passive dosimeter. UV/VIS spectrophotometer was utilized to determine the absorption peak (λmax) of dye; which was 430 nm. SO followed Beer’s law satisfactorily. The absorbance (A) of the sample solutions was decreased with increase in absorbed dose (D). The %decoloration (%Ð) showed an exponential increase and logarithmic increase within low and high dosimetry range, respectively. The pH sensitivity of the sample solutions at different doses was also observed.

Keywords: Aqueous Solutions, Reactive Orange 122, Gamma radiation, %Decoloration, Absorbance.

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journal-basic-applied-scien

Modeling For Valuing Knowledge as Perceived by Business Managers Using Statistical Tools
Pages 398-405Creative Commons License

 

Muhammad Syed-ul Haque, Irfan Anjum Manarvi, Memoona R. Khan, Afaq Ahmed Siddiqui and Shameel Ahmed Zubairi

DOI: http://dx.doi.org/10.6000/1927-5129.2016.12.62
Published: 10 October 2016

Abstract: Knowledge is a valuable asset as it brings success and sustainability to the organizations. Till recently, the value of an organization is determined from its financial statements. These statements are historical in nature and contain the book value of physical assets, hence do not depict the true worth of an organization. The future revenue/profit from the organization depends upon its capability to make best use of its assets. This depends on the quality of knowledge an organization possess and its capability to use that knowledge asset. Therefore, knowledge is the most important asset in an organization. However there is no financial statement or business document that shows the volume and value of knowledge present in the organization. Hence, it is critical to determine the value of knowledge to ascertain true worth of an organization.

This research study attempts to present factors that influence the value of knowledge during its life cycle. Data were collected through interviews and questionnaire instrument was used to get subsequent data from 521 business managers working in various industries. The collected data was subjected to various statistical tools to evaluate the factors and their hypothesis. The twenty two factors identified initially were first analyzed for their verification and authenticity. Later each item was regrouped through the Rotated Component Matrix analysis – first order for meaningful set of factors. Based on the result of second order Rotated Component Matrix analysis, all the newly identified factors were finally grouped into two groups of factors that influences the value of knowledge. These groups were: ‘Efforts’ and ‘Business’. The integration of ‘Efforts’ and ‘Business’ factors forms the Knowledge Value Wheel (KVW) that helps in defining the “Knowledge Value Line” (KVL). The KVL depicts the value of knowledge at any given time. The KVL and KVW combines to form the “Knowledge Value Life Cycle” (KVLC).

The findings will help further research in the area of knowledge management. Managers would be able to differentiate most valuable and useful knowledge asset for effective management. Need for further R&D on critical knowledge can be identified. It would also be beneficial to the investors in determining the true worth of an organization in terms of its knowledge asset.

Keywords: Knowledge Management, Value of Knowledge, Knowledge Lifecycle, Knowledge Value Line, Knowledge Value Wheel, Knowledge Value Lifecycle.

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