1,332 research outputs found

    Ant Species Richness Around Amravati City Maharashtra, India

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    Ants deserve a special place in the study of ecology, including behavior, given their species richness, social habits, and high densities, contributing to much of the animal biomes on earth (Gadagkar et.at. 1993). As ants can be studied virtually everywhere from forest interiors below ground, right up to the kitchen, we attempted a study to assess the ant species richness in a variety of habitats in and around Amravati city. The prime objective of this study is to prepare a partial checklist of ants of Amravati and to compare species richness between selected study sites. Eight study sites with different levels and types of vegetation were selected for the study.
We employed an “all out search” method for collection in the months of June and July 2010. Ants were hand collected using a brush and forecep during the day time for 6 hrs at each study site. Collected samples were preserved in 70% alcohol in the Department of Zoology, Govt. Vidarbha Institute of Science & Humanities, Amravati.
We identified Ants up to the genus level by using a Stemi DV4 Stereo microscope based on taxonomic keys of (Holldobles & Wilson, 1990; Bolton, 1994; Mathew & R.N. Tiwari, 2000).
During the present study a total of 34 species of 20 genera have been recognized from Amravati city representing five subfamilies namely Myrmicinae, Formicinae, Ponerinae, Dolichoderinae and Pseudomyrmicinae. Out of this subfamily, Myrmicinae is the most abundant having 11 genera including the genus Rhoptromyrmex. It has been recorded for the first time in this region, followed by Formicinae with four genera for being recorded for the first time as genus Oecophylla. Subfamily Ponerinae and Dolichoderinae were recorded only with two genera each; while the subfamily Pseudomyrmicinae where recorded very poorly with only one genera from G.V.I.S.H. campus.
Few ant genera such as Crematogaster and Myrmicaria of subfamily Myrmicinae, Camponotus and Polyrhachis of subfamily Formicinae and Leptogenys of subfamily Ponerinae were mostly found in all the habitats and most localities. Few genera are confined to few localities or habitat types, such as Rhoptromyrmex and Oecophylla recorded only from Pohara forests. Genus Tetraponera of subfamily Pseudomyrmicinae were collected from the tree trunk of Azadirakhta indica in the G.V.I.S.H. campus. 
Comparison of ant species distribution between the different study sites revealed that ant species richness was highest in Pohara forest with 28 species & lowest with 9 species around urban areas. Relatively high ant species richness was recorded at all the study sites such as the Agriculture field, Tree plantation area, and the Wadali and Chhatri Garden. On the other hand, ant species richness was low around urban houses compared to rural houses due to little or no vegetation and high levels of disturbance. The tree plantation site, roads, and pavement showed higher numbers of ant species compared to around urban areas probably due to road side richness of tree plantation.
From this study we conclude that due to availability of food and shelter, richness of ant species increases in forest and tree plantation areas. The number of ant species declines in low vegetative areas including urban areas. It is possible to study the ecology and biodiversity of living faunas by the studying the habitats of ants. The environs of Amravati city are rich in Ant fauna which deserve further study

    Allelic Frequency of ABO And Rh D Blood Group Among The Banjara Backward Caste of Yavatmal District, Maharashtra , India

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    The distribution of ABO blood groups and Rh(D) factor has been studied among the Banjara of Backward population of Yavatmal (Maharashtra). The A, B, O and AB blood group percentage were recorded as 24.54%, 33.82%, 29.64% and 12% respectively. The allele frequencies of O, A, B and AB groups in the combined data were found to be 0.5354, 0.2022 and 0.2624 respectively. The distribution of Rh(D) group varies among the ABO blood groups. The Rh(D) positive allelic frequency was 0.8405 and the Rh(D) negative incidence was recorded as 02.55% in the studied population

    Resonant oscillations of a plate in an electrically conducting rotating Johnson-Segalman fluid

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    AbstractAn analysis of hydromagnetic flow is examined in a semi-infinite expanse of electrically conducting rotating Johnson-Segalman fluid bounded by nonconducting plate in the presence of a transverse magnetic field and the governing equations are modeled first time. The structure of the velocity distribution and the associated hydromagnetic boundary layers are investigated including the case of resonant oscillations. It is shown that unlike the hydrodynamic situation for the case of resonance, the hydromagnetic steady solution satisfies the boundary condition at infinity. The inherent difficulty involved in the hydrodynamic resonance case has been resolved in the presence analysis

    ABO and Rh Blood Group Distribution Among Kunbis (Maratha) population of Amravati District, Maharashtra

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    The present study reports the distribution of ABO and Rh blood groups among the Kunbis (Maratha) population of Amravati district. The phenotypic frequency of blood group B is observed highest (33.06) percent, O (31.04), A (27.02) and AB is lowest (08.33) percent. The phenotypic frequency of Rh negative is (04.26) percent. TheKunbis (Maratha) population shows close genetic relationship with the Gujratis

    Application of game theory in ad- hoc opportunistic radios

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    The application of mathematical analysis to the study of wireless ad hoc networks has met with limited success due to the complexity of mobility, traffic models and the dynamic topology. A scenario based UMTS TDD opportunistic cellular system with an ad hoc behaviour that operates over UMTS FDD licensed cellular network is considered. In this paper, we describe how ad hoc opportunistic radio can be modeled as a game and how we apply game theory based Power Control in ad-hoc opportunistic radio

    Frequency of cryptosporidium infection in children under five years of age having diarrhea in the North West of Pakistan

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    Cryptosporidium species are minute, coccidian protozoan parasites that have been associated withenterocolitis. It has worldwide distribution and has emerged as an important cause of diarrhea,particularly in children less than 5 years of age and in immunocompromised individuals. Waterbornetransmission is particularly troublesome because Cryptosporidium parvum oocysts are not eliminatedby chlorination or domestic disinfectants. In the present study, single stool specimens from youngchildren (< 5 years) presented with diarrhea were collected in Khyber teaching hospital, Peshawar,Pakistan. Wet mount preparation and modified Ziehl-Neelsen staining were used for identification ofoocysts in stool specimens. Cryptosporidium oocysts were found in 18 (9.0%) out of 200 childrensuffering from diarrhea. Infection was common in children between 1 - 24 months of age and associatedwith abdominal cramps (50%), vomiting (61.1%) and prolonged duration of diarrhea (88.9%). Direct andindirect contact with animals was present in most of C. parvum infected children (83.3%). Most of C.parvum infected children were consumers of well water (77.8%). Cryptosporidium spp. are highlyinfectious causes of diarrheal illness around the world. It is an important cause of diarrhea in children.Clinician and laboratories should be encouraged to include C. parvum diagnostic techniques whiledealing with diarrheal stool samples of young children

    Multi-objective optimisation for minimum quantity lubrication assisted milling process based on hybrid response surface methodology and multi-objective genetic algorithm

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    © 2019 by SAGE Publications Ltd.Parametric modelling and optimisation play an important role in choosing the best or optimal cutting conditions and parameters during machining to achieve the desirable results. However, analysis of optimisation of minimum quantity lubrication–assisted milling process has not been addressed in detail. Minimum quantity lubrication method is very effective for cost reduction and promotes green machining. Hence, this article focuses on minimum quantity lubrication–assisted milling machining parameters on AISI 1045 material surface roughness and power consumption. A novel low-cost power measurement system is developed to measure the power consumption. A predictive mathematical model is developed for surface roughness and power consumption. The effects of minimum quantity lubrication and machining parameters are examined to determine the optimum conditions with minimum surface roughness and minimum power consumption. Empirical models are developed to predict surface roughness and power of machine tool effectively and accurately using response surface methodology and multi-objective optimisation genetic algorithm. Comparison of results obtained from response surface methodology and multi-objective optimisation genetic algorithm depict that both measured and predicted values have a close agreement. This model could be helpful to select the best combination of end-milling machining parameters to save power consumption and time, consequently, increasing both productivity and profitability.Peer reviewedFinal Published versio

    An Intelligent model for supporting Edge Migration for Virtual Function Chains in Next Generation Internet of Things

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    The developments on next generation IoT sensing devices, with the advances on their low power computational capabilities and high speed networking has led to the introduction of the edge computing paradigm. Within an edge cloud environment, services may generate and consume data locally, without involving cloud computing infrastructures. Aiming to tackle the low computational resources of the IoT nodes, Virtual-Function-Chain has been proposed as an intelligent distribution model for exploiting the maximum of the computational power at the edge, thus enabling the support of demanding services. An intelligent migration model with the capacity to support Virtual-Function-Chains is introduced in this work. According to this model, migration at the edge can support individual features of a Virtual-Function-Chain. First, auto-healing can be implemented with cold migrations, if a Virtual Function fails unexpectedly. Second, a Quality of Service monitoring model can trigger live migrations, aiming to avoid edge devices overload. The evaluation studies of the proposed model revealed that it has the capacity to increase the robustness of an edge-based service on low-powered IoT devices. Finally, comparison with similar frameworks, like Kubernetes, showed that the migration model can effectively react on edge network fluctuations
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