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The concept of mutual funds is generated in 18 century. It has become important investment instrument for many patrons. As it, provides a wide range of diversification within its products. Mutual funds, on Indian Securities markets have become a significant mechanism of price discovery, portfolio diversification and risk hedging in recent times. Knowing the perception of mutual fund patron can help these institutions to market their schemes in a better way. Many patrons understand that investing in the securities market can help put them on the path to their financial objective and what is the best time to be in investment. In this study we want to the gender differentiation while investing in mutual funds with special reference to B class cities line Moradabad (UP) and also the best phase of investment in it. Study includes time factor and awareness factor for ascertaining the view of investor.

We have observed that the Immunoglobulin domain (IGv) is mainly present in all those sequences. These observations also suggests that the predicted values of IGv domain is predominantly present in all those sequences and slightly IGc1 domain and IG like domain is also present. On the basis of lower E-value IGv domain is highly conserved in the sequence, from position 17 to 98, and IGc1 domain from 147 to 220.Each sequence has consist of varied composition of CCP (Complementary control proteins), EGF (Epidermal Growth Factor), EGFCA, VWA (Von Wille Brand type A domain), IG, IGc2, TSP1, TROVE, Calireticulin family, RING domain, BBOX, PRY, SPRY with different E-value. Finally, We have concluded that on the basis of lower E-value vWFA(97-214), TROVE(18-369), IGc(183-273), SPRY(86-220), La(13-48), MHC Class I An alpha 1, 2 (1-178) these listed domains are highly conserved.

Today software quality is an consequential parameter and to produce high quality reliable software and to keep a specific time schedule is a big challenge. There are many software reliability models that are based on the times of occurrences of errors in the debugging of software. To overcome the challenge many methodology and practices of software engineering have been evolved for developing reliable software. Improving algorithms of directing the manner of software development are underway. Order statistics are used in a broad category of exercised assignments their application in improvisation problems, determination of outliers, linear estimation. In this paper we proposed the detecting the exponential reliable software using SPRT on time domain data based on Ordered Statistics approach. The unknown parameters can be estimated using the Maximum Likelihood Estimation (MLE).

Banking sector contributes 95% of the total financial sector in Pakistan economy and financial sector has a large share in overall growth of the country. For banking sector performance growth, State Bank of Pakistan has taken many significant steps. Banks involved in providing the financial needs of government and private businesses and neglecting the needs of small and medium enterprises, agriculture sector and consumer sector. Massive financial reforms as privatization, interest rate liberalization and banks restructuring and alike were introduced by Government of Pakistan in order to improve the performance of banking sector. The current study is designed to cater the need of financial reforms in banking sector, entailing the major financial reforms in banking sector by the Government of Pakistan and excogitate their impact on performance of banking sector in Pakistan. The outcome of the meta-analysis suggests that in this dynamic world of financial liberalization and global market integration the regulatory body must be vigilant and agile to cater the needs of every sector and introduce transformations on regular basis in order to create sound, healthy and competitive economy.

The relationship between stock market and various macroeconomic variables has always been divisive. Studies indicate that stock market is influenced by changes in macroeconomic variables. Some of which affect the stock market returns and index positively while others have an adverse impact on stock market returns and index. This article examines the impact of four macroeconomic variables i.e. GDP per capita, gross domestic savings, inflation and discount rate on KSE index of Pakistan. It covers a period of 20 years from 1991 to 2010. Statistical Package for Social Sciences (SPSS) is used to test the multiple regression model. Analysis results indicate that GDP per capital and gross domestic savings have a significant and positive impact on KSE Index. On the other hand, discount rate and inflation (being measured through CPI) posses a significant but negative impact on KSE Index. Explanatory variables under study accounted for 98% variation in KSE Index. Therefore, it is suggested that government should take remedial measures to control inflation. Also it should work on maintaining appropriate discount rate. There should be a balance between excessive high and low discount rate. It will boost investments in stock market and consequently stock returns and index.

India abounds in wealth of complex and diverse biodiversity, exhibiting a great deal of variation however, its documentation is necessary for its proper record and management. India with its vast geographical area of about 329 m ha ranks seventh largest in the world (Venu, 1998). Present studies were conducted on the foot hill, slope (middle hill) and top of the protected and unprotected hills of Jhalana at Jaipur (26? 49’ N, 75 48’ E, 436 m.s.i.). Land is always in a constant flux of continual change due to transformation, resulting either from natural processes or due to human activities. Large portions of land transformation have been witnessed in and around major cities of India e.g. Kolkata, Bangalore, Chandigarh etc. Some of these are dynamic and fast, particularly in the urban tassel. The main factors affecting the urban area and land transformation are growth of industrial, commercial and institutional activities. Secondly due to urbanization and increasing trend, migration towards urban areas for employment and other developmental opportunities.

Peace education is about empowering and equipping students with knowledge, skills and attitudes in relation to positive social change. West Pokot County in Kenya is a highly volatile region and is characterized by regular conflict between its inhabitants and communities in neighbouring counties and northern Uganda region. The purpose of this study was to investigate the implementation of school plans and regulations and its effect on implementation of peace education in public secondary schools in West Pokot County, Kenya. The study objective was to determine how school plans and policies affect provision of peace education in public secondary schools in West Pokot county. The study adopted a pragmatist research paradigm and a descriptive survey research design. The sample size of 30% of principals and teachers constituted 24 and 198 respectively from a total population of 81 principals and 661 teachers in the County. Based on Yamane formula for sample size calculation, 385 students were sampled from a total of 10,035 students in West Pokot County. The schools were selected using stratified random sampling technique and purposive sampling. Simple random sampling was used to select students and teachers. Data was collected using questionnaires, interviews and focus group discussions. Quantitative data was analyzed using descriptive statistics and chi square test while Qualitative data was analyzed thematically based on the emerging themes. The study established that schools had put in place measures within their plans and regulations to promote the implementation of peace education in the county. It is recommended that there should be enhancement of: parental involvement in the formulation of school plans and regulations within the county.

The Sustainable development goals are contained in paragraph 54 of the UN resolution A/RES/70/1 of September 2015. They were achieved through a collaborative process of 194 countries, civil society and other interested parties. They succeed the Millennium Development Goals. The 17 Sustainable Development Goals were formulated following the principles agreed upon under resolution A/RES/66/288 which is also known as The Future We Want. The passing of the Transforming our world: the 2030 Agenda for Sustainable Development was a long process involving deliberations and consultative meetings starting from Rio+20 Conference in 2012. Kenya made a commitment to actualize the 17 SDGs. However, Kenya runs the risk of failing to achieve the 17 sustainable development goals and their 169 targets if the challenges that led to the failure to achieve MDGs are not addressed. The most notable challenge was the failure to anchor the policy goals within the legal framework. This paper examines the legislative and policy gaps in the implementation of SDGs in Kenya. It will also explore the challenges that Kenya is facing in the implementation of Sustainable Development Goals and propose possible solutions to those problems.

Diabetes mellitus is the most common endocrine disorder that impairs glucose homeostasis. Hyperglycemia is the defining characteristic of diabetes mellitus. Chronic hyperglycemia is associated with damage to many of the body’s systems. Diabetes cases in the world are estimated to increase by 122% between 1995 and 2025. As diabetes prevalence increases so does the need for new and more effective therapies. Studies have indicated some herbal extracts have antidiabetic effects. However, rational prescription of effective medicinal plants for diabetes cure, requires precise information of action mechanism of these plants. Ziziphus jujuba, a member of the family Rhamnaceae has been used as a traditional medicinal herb and considered for thousands of years to affect various physiological functions in the body In present study, diabetes induced in rats, and then hypoglycemic effect of Ziziphus jujuba leaves hydroalcoholic extract was evaluated. Then results compared with glibenclamide effect.

Remote sensing data is used for mapping on regional scale and to delineate the structure of various tectonic belts, lineaments and fracture patterns. Lineaments and their intersections and contacts are favourable sites for localization of Kimberlite bodies, which are the main host rocks of Diamonds. The Eastern Dharwar Craton(EDC) is known for its Kimberilte pipes around Wajrakarur, Raichur, Maddur, Narayanpet etc. An IRS LISS-III image covering an area of 1440 sq.km west of Mahabubnagar town, which is located south east of Narayanpet Kimberlite field was processed and interpreted to bring out possible emplacement of Kimberlites. Kimberlite of Narayanpet is associated with ENE-WSW and E-W lineaments. By analyzing structure, geomorphology, drainage patterns derived from satellite imageries, structural zones favourable zones for Kimberlite rocks are demarcated.