Imperfection or thick, thin and neps of yarn is a foremost problem of yarn manufacturing which create difficulties from fabric construction to end product development for customer and Imperfection of yarn has an adverse effect on fabric structure, uneven outcome during dyeing and printing as well as influencing handfeel and comfortness of end product. A standard production process of 35% Cotton and 65% Polyester Blended Yarn for 40Ne, 50Ne and 60Ne Ring Spun Yarn was maintained for a specific customer in a spinning mill and imperfections of 40Ne, 50Ne and 60Ne Ring Spun were measured by uster tester and thin (-50%), thick (+50%), neps (+200%) were tested and variation of 40Ne, 50Ne and 60Ne Ring Spun Yarn was observed to understand the variation of count versus yarn imperfection where finer yarn showed higher thin, thick and neps comparing to coarser yarn and a sequence of thin, thick and neps were resulted for three types of cotton and polyester blended yarn which can be distinguished as thin, thick and neps of 40Ne < thin, thick and neps of 50Ne < thin, thick and neps of 60Ne and such way imperfection index of yarn also showed higher for fine yarn comparing to coarser yarn which can be noted as imperfections of 60 Ne > imperfections of 50 Ne> imperfections of 40 Ne. So it can be decided that imperfection level of finer yarn is more significance in uster capacitance comparing to coarser yarn.

Background: Leptospirosis is one of the most important contagious zoonosis diseases caused by different serovars of Leptospira interrogans. Objectives: The aim of the present study is to determine the prevalence rate of Leptospira pathogen serovars in cows and relation to human population in Gilan province during 2003-2013. Methods: Totally 1250 serum samples were collected from different cities in Gilan (800 samples at 2003 and 450 samples at 2013 from cows). The serum samples were analyzed employing the Microscopic Agglutination Test (MAT) at the Razi Research Institute Center. Results: The infection rate was high, in 3-4 years old cows and in spring seasons. In 2013, serum samples showed a positive reaction against leptospira which was higher compared to 2003. The most seroprevalent serovar was Grippotyphosa and the least was serovar Canicola in 2003 and predominant seroprevalent was Icterohaemprragia and the least was Pomona in 2013. The most percentage rates of MAT titers were 1:200 in 2003, and most percentage rates of MAT titers were 1:800 and1:1600 in 2013. The infection rate was high and according to the review of Leptospirosis prevalence in cows and its relation to the human population between 2003 and 2013. The relationship between human infection and an increase in animal titer with the highest rate of infection seen in the countryside. Conclusions: There is an important concern about the possibility of the occurrence of an acute form of the disease with low prevalence. There is, therefore, a need to control the disease in Gilan Province.

In this paper we show that If the soluble-by-finite group G=AB is the product of two polycyclic-by-finite subgroups A and B, then G is polycyclic-by-finite.

Neural networks are a new generation of information processing paradigms designed to mimic some of the behaviours of the human brain. These networks have gained tremendous popularity due to their ability to learn, recall and generalize from training data. A number of neural network paradigms have been reported in the last four decades, and in the last decade the neural networks have been refined and widely used by researchers and application engineers. This study focuses on the prediction of the elongation % and Ultimate Tensile Strength (UTS) of the dissimilar Friction Stir Welded joints of aluminium alloys by training the Neural Network on Quasi Newton Algorithm.

Jute Industries are the first industrial setup in Nepal. Many historical and political events of Nepal are linked to the jute mills. Therefore, jute is one of the important sectors. Jute mills are labour oriented industries and more than twelve thousand workers including one thousand six hundred woman workers are directly involved in ten operational jute mills. Almost all the mills are situated only in Eastern Terai, namely Sunsari and Morang districts of Koshi zone.Jute mills are closing year by year may be the scarcity of raw materials, manpower and market demands. Due to hazardous nature of jute mill workers are not willing to work in these industries. The safety and health of the workers and their efficiency are reciprocal entities. Health and Safety measures not only result in reduced rate of industrial accidents but also raise the work productivity. The purpose of the study is to assess the potential accident prevention strategy for Jute Industries. Field based Action research was conducted. Accident due to machineries ,manual material handling ,poor housekeeping ,electricity, lack of maintenance and supervision , lack of Personal Protecting Equipment , fire , occupational stress also due to lack of safety culture were majour issues. Proper training and refresher training programs should be conducted to educate the workers as well as their supervisors particularly on occupational safety and health for ensuring regularly checked and maintained. All the moving drives i.e. belt drives, rollers and gear drivers should be properly guarded or fenced. Proper cable size and connection reduce the fire and electrocution. All machines should properly earth.