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Pig production occupies an important place in modern agriculture. Piglets are far less demanding on nutrients as compared to poultry. The experiment was conducted to know the effect of feeding organic and inorganic sources of additional zinc on growth incidences of gut microbial status in piglets. Sixty graded (Large White Yorkshire) suckling piglets were randomly divided into three treatment groups of twenty piglets each based on litter size, parity and live birth weight. Treatment I (T1) served as control and these piglets were fed with deionized water daily as oral suspension. Treatment II (T2) and Treatment III (T3) were fed with fed Zinc Oxide (ZnO) and Zinc Methionine (ZnM) daily (50 ppm) as oral suspension. The results of the experiment showed that the incidence of mortality in control (T1), zinc oxide (T2) and zinc methionine (T3) groups were 10, 5 and 0 per cent, respectively. Statistical analysis revealed that there was no significant difference between control (T1), zinc oxide (T2) and zinc methionine (T3) groups. Based on the results of the current experiment and the reports available, the importance of supplementation of zinc oxide at higher than the recommended dosage may be considered for maintaining the proper growth, health and production status of piglets.

In the industrial society, the concept of green product research is becoming prevalent in many manufacturing industries. The green technology is implemented to develop an environmentally green product that brought attention to a growing technological field as it attains sustainable growth in a market. The green process includes logistics, manufacturing, and product design to reach a high level of sustainability. The utilization of green technologies in manufacturing industries reduces the major effect of industrial outcomes on environment. The product manufactured in the electronic industries is rapidly utilized by more population. This paper deals with the research issue faced during product manufacturing in electronic industries. Initially, the issues encountered during product development are air pollution, solid waste, and water pollution. The product is enriched with the characteristic features such as an increase in efficiency, reduction in toxic content, and must be eco-friendly. The developed green product should satisfy environmental standards. Environmental Conscious Manufacturing (ECM) accountability to satisfy the government rules and regulations for product development in the manufacturing industry and also deals with the customer’s expectation. The eco-friendly product includes eco-design, recycling, clean production, low cost, and reclamation of products. The eco-design is responsible for improving the environmental outcomes and also reliable for a reduction in long-term cost. The green product design and manufacturing focus mainly on energy conservation and the development of a product with less wastage. The research on green product manufacturing is mainly to save the environment by reducing carbon foot print and to make the product in less cost. The main consequence faced during the development of the green product is destroying the environment by utilizing natural resources. Thus, in this paper, the issues faced during the green product design and manufacturing of the electronic manufacturing industry are discussed.

Nowadays in industry sensor data are used. This needs to be shared in many areas for making the prediction. Also, it needs to be optimized for making the things to do automatically. This paper proposes a novel analytical framework to build predictive and optimization functions from manufacturing industry sensor data using cross sectional sharing which combines all different types of operation in a cross-sectional lab, which is a cooperative site in which huge quantities of data from numerous sites are composed as well as managed in a terrific way. The predictions and the optimization are made possible and store the same using the big data storage. Big Data Storage as well as Analytics Platform; Development Tools; Modelling Tools for Imitation Concepts as well as Power Framework are carried over in cross sectional lab. This is making the relations ship entities using Relational Data Base Management Systems (RDBMS). Various apache versions are used for the implementation of this which acts in a cloud platform. In the case study, the mean and variance were calculated and plotted.

Herpes zoster (HZ) caused by Varicella Zoster Virus causes several complications, the most common being PHN (Post Herpetic Neuralgia). Here we report a case of phantom hernia following HZ involving T10-T11 dermatome. Close follow up will ensure full recovery to avoid unnecessary surgical intervention.

Educational data mining (EDM) is a new growing research area and the essence of data mining concepts are used in the educational field for the purpose of extracting useful information on the behaviors of students in the learning process. In this EDM, feature selection is to be made for the generation of subset of candidate variables. As the feature selection influences the predictive accuracy of any performance model, it is essential to study elaborately the effectiveness of student performance model in connection with feature selection techniques. In this connection, the present study is devoted not only to investigate the most relevant subset features with minimum cardinality for achieving high predictive performance by adopting various filtered feature selection techniques in data mining but also to evaluate the goodness of subsets with different cardinalities and the quality of six filtered feature selection algorithms in terms of F-measure value and Receiver Operating Characteristics (ROC) value, generated by the NaiveBayes algorithm as base-line classifier method. The comparative study carried out by us on six filter feature section algorithms reveals the best method, as well as optimal dimensionality of the feature subset. Benchmarking of filter feature selection method is subsequently carried out by deploying different classifier models. The result of the present study effectively supports the well known fact of increase in the predictive accuracy with the existence of minimum number of features. The expected outcomes show a reduction in computational time and constructional cost in both training and classification phases of the student performance model.

Association rule mining plays vital part in knowledge mining. The difficult task is discovering knowledge or useful rules from the large number of rules generated for reduced support. For pruning or grouping rules, several techniques are used such as rule structure cover methods, informative cover methods, rule clustering, etc. Another way of selecting association rules is based on interestingness measures such as support, confidence, correlation, and so on. In this paper, we study how rule clusters of the pattern Xi - Y are distributed over different interestingness measures., Comment: International Journal of Computer Science Issues, IJCSI Volume 6, Issue 1, pp35-43, November 2009

Power MOSFETs are fast-switching devices suitable for high-frequency operations. However, high-speed switching and circuit inductance may cause voltage spikes to appear across the device and damage it. Three types of voltage clamp circuits that can be used with power MOSFETs are considered, and their essential features and characteristics are studied. The different modes of operation with these clamp circuits are discussed, and the design equations to determine these parameters in each clamp circuit are presented. The losses in the three clamp circuits are evaluated and compared. One clamp circuit is shown to offer outstanding advantages and is found to be suitable for high-frequency applications such as PWM inverters.

This article 'Effect of Foliar Spray of Macro- and Micronutrients on Sheath Rot (ShR) Incidence and Rice Grain Yield' appeared in the International Rice Research Newsletter series, created by the International Rice Research Institute (IRRI). The primary objective of this publication was to expedite communication among scientists concerned with the development of improved technology for rice and for rice based cropping systems. This publication will report what scientists are doing to increase the production of rice in as much as this crop feeds the most densely populated and land scarce nations in the world.

This article 'Effect of Form and Level of N Fertilizers on Sheath Rot (ShR) Incidence and Yield' appeared in the International Rice Research Newsletter series, created by the International Rice Research Institute (IRRI). The primary objective of this publication was to expedite communication among scientists concerned with the development of improved technology for rice and for rice based cropping systems. This publication will report what scientists are doing to increase the production of rice in as much as this crop feeds the most densely populated and land scarce nations in the world.