Dissipative dynamics of fission in the framework of asymptotic expansion of Fokker-Planck equation

The dynamics of fission has been formulated by generalising the asymptotic expansion of the Fokker-Planck equation in terms of the strength of the fluctuations where the diffusion coefficients depend on the stochastic variables explicitly. The prescission neutron multiplicities and the mean kinetic energies of the evaporated neutrons have been calculated and compared with the respective experimental data over a wide range of excitation energy and compound nuclear mass. The mean and variance of the total kinetic energies of the fission fragments have been calculated and compared with the experimental values.Comment: 13 pages, 6 figures, accepted for publication in European Physical Journal

Two Stage Fuzzy Flow Shop Scheduling to Minimize Rental Cost with Job – Block Criteria

In this paper we consider two stage flow shop scheduling to minimize the total rental cost of machines for n-jobs in fuzzy environment. The processing time of jobs and setup time for machines are uncertain. The fuzzy triangular membership function is used to describe uncertain processing times and setup times. Further, the restriction of equivalent job-block on job processing is also considered. The objective of the paper is to develop a new heuristic algorithm to minimize the rental cost of machines which is simple and straight forward. A numerical illustration explaining the computational process of the proposed algorithm is also given. Keywords: fuzzy processing time, fuzzy setup time, rental cost, average high ranking, utilization time and equivalent job –bloc

Sorting Technique- An Improvement towards HDD Utilization in HADOOP

A data is tremendously increasing everyday due to updates that are updated after a particular time interval. Therefore it is very hard to handle such a large data that is updated on common basis. Ample number of techniques was proposed in order to enhance the performance and efficiency. In this paper, a technique called as “sorting technique” is implemented so as to increase the mean value. Load of hadoop cluster will decrease in steeply manner when this technique is implemented. The results clearly defines the efficiency of the technique which is used and hence it also proves to be efficient than the traditional techniques

Forest Tree- An Efficient Proposal Approach for Data Mining

Data Mining (DM) is a way of looking on different models, summaries, & derived values from a given gathered data. DM itself work on the process of looking for analytical information in huge amount of available databases. An illustration of a predictive riddle is targeted marketing. There are many factors that influence the performance of mining on large data sets. In this paper we are going to use forest tree technique in order to improve the way of performance of how the data is to be fetched and when on implementation it will definitely overcome the performance of previous work which includes existing approach decision tree algorithm

EMERGENCE PROFILE OF ENTOMOFAUNA ASSOCIATED WITH LAC INSECT KERRIA LACCA (KERR) IN WESTERN PLAINS OF INDIA

Not AvailableFauna associated with lac insect when analysed revealed that it was represented by the predators- Eublemma amabilis Moore, Pseudohypatopa pulverea Meyrick, Chrysopa zastrowi (Esben-Petersen); primary parasitoids- Tachardiaephagus tachardiae Howard, Aprostocetus purpureus Cameron, Tyndarichus (Parechthrodryinus) clavicornis Mashhood Alam and Erencyrtus dewitzi Mahdihassan; and the hyperparasitoids- Apanteles fakhrulhajiae Mahd., Eupelmus tachardiae Howard, Bracon greeni Ashmead and Brachymeria tachardiae Cameron. Predators emerged up to VIII week during October and up to VI week in July. Parasitoids emerged up to V and IV week in October and July, respectively. Hyperparasitoids emerged upto V week in October and IV-V week during July. All these took more time to complete emergence during October- November than June - July.Not Availabl

Shellac as a multifunctional biopolymer: A review on properties, applications and future potential

Not AvailableShellac is a physically refined form of lac resin, a natural biopolymer of animal origin obtained from tiny insects feeding on the sap of specific host trees. Shellac, in its basic form, is a polyester macromolecule composed of inter and intra esters of polyhydroxy aliphatic and sesquiterpene acids. It has been used in several industries for ages due to its exceptional properties such as film-forming, adhering, bonding, thermoplasticity, water-resistance and easy solubility in spirit and aqueous alkali solvents. From the beginning of the 21st century, due to increasing demand for natural products, a paradigm shift in the scope and applications of shellac has been witnessed, especially in green electronics, 3D printing, stealth technology, intelligent sensors, food and pharmaceutical industries. Shellac offers enormous potential for greener technologies as a natural and environmentally friendly material. This review provides an insight into the lac in detail, covering various forms of the lac, structure, properties, different applications of shellac and its future potential. This article would benefit the researchers involved in shellac research and others looking for natural and greener alternatives to synthetic polymers in various applications.Not Availabl

Estimation of stature from the foot and its segments in a sub-adult female population of North India

<p>Abstract</p> <p>Background</p> <p>Establishing personal identity is one of the main concerns in forensic investigations. Estimation of stature forms a basic domain of the investigation process in unknown and co-mingled human remains in forensic anthropology case work. The objective of the present study was to set up standards for estimation of stature from the foot and its segments in a sub-adult female population.</p> <p>Methods</p> <p>The sample for the study constituted 149 young females from the Northern part of India. The participants were aged between 13 and 18 years. Besides stature, seven anthropometric measurements that included length of the foot from each toe (T1, T2, T3, T4, and T5 respectively), foot breadth at ball (BBAL) and foot breadth at heel (BHEL) were measured on both feet in each participant using standard methods and techniques.</p> <p>Results</p> <p>The results indicated that statistically significant differences (p < 0.05) between left and right feet occur in both the foot breadth measurements (BBAL and BHEL). Foot length measurements (T1 to T5 lengths) did not show any statistically significant bilateral asymmetry. The correlation between stature and all the foot measurements was found to be positive and statistically significant (<it>p-value </it>< 0.001). Linear regression models and multiple regression models were derived for estimation of stature from the measurements of the foot. The present study indicates that anthropometric measurements of foot and its segments are valuable in the estimation of stature. Foot length measurements estimate stature with greater accuracy when compared to foot breadth measurements.</p> <p>Conclusions</p> <p>The present study concluded that foot measurements have a strong relationship with stature in the sub-adult female population of North India. Hence, the stature of an individual can be successfully estimated from the foot and its segments using different regression models derived in the study. The regression models derived in the study may be applied successfully for the estimation of stature in sub-adult females, whenever foot remains are brought for forensic examination. Stepwise multiple regression models tend to estimate stature more accurately than linear regression models in female sub-adults.</p