Information resources management of T.I.S.S library

Gives step-by-step information resource development, including hardware and software in T.I.S.S. Library. With the changing concept of document and user’s demand, library needs to create indigenous databases and explore external online databases. An attempt has been made to explain information management using IT applications and application software such as CDS/ISIS as well as SLIM ++ (system for library and information management Software). It also highlights the digitization of Library and the future plan of establishing National Centre for Social Science Information.

Document Supply Service For Effective Resource Sharing : A Case Study of Tata Institute of Social Sciences, Mumbai

The growth of the literature in an exponential manner has created a situation where no library is self sufficient. With universities initiating new academic programmes, number of students increasing, it has become difficult for libraries to meet the growing information needs of clientele. In such a scenario, it is the interlending and Document delivery services that help libraries in winning over this situation. This article explains the reasons for interlending and document supply services and how TISS is utilizing this service to achieve the maximum satisfaction of its clientele. The primary purpose of this paper is to outline findings of Inter Library Loan and Document Delivery Service provided to users in TISS for the period 2002-2008. The findings are primarily based on the database maintained at library. This article reiterates the fact that interlending and document delivery still continues to be the best practice at libraries for achieving the resource sharing among participating libraries

Machine Learning Styles for Diabetic Retinopathy Detection: A Review and Bibliometric Analysis

Diabetic retinopathy (DR) is a medical condition caused by diabetes. The development of retinopathy significantly depends on how long a person has had diabetes. Initially, there may be no symptoms or just a slight vision problem due to impairment of the retinal blood vessels. Later, it may lead to blindness. Recognizing the early clinical signs of DR is very important for intervening in and effectively treating DR. Thus, regular eye check-ups are necessary to direct the person to a doctor for a comprehensive ocular examination and treatment as soon as possible to avoid permanent vision loss. Nevertheless, due to limited resources, it is not feasible for screening. As a result, emerging technologies, such as artificial intelligence, for the automatic detection and classification of DR are alternative screening methodologies and thereby make the system cost-effective. People have been working on artificial-intelligence-based technologies to detect and analyze DR in recent years. This study aimed to investigate different machine learning styles that are chosen for diagnosing retinopathy. Thus, a bibliometric analysis was systematically done to discover different machine learning styles for detecting diabetic retinopathy. The data were exported from popular databases, namely, Web of Science (WoS) and Scopus. These data were analyzed using Biblioshiny and VOSviewer in terms of publications, top countries, sources, subject area, top authors, trend topics, co-occurrences, thematic evolution, factorial map, citation analysis, etc., which form the base for researchers to identify the research gaps in diabetic retinopathy detection and classification

Caste and sex specific olfactory glomerular organization and brain architecture in two sympatric ant species camponotus sericeus and camponotus compressus (fabricius, 1798)

We use monoclonal antibodies against synaptic proteins and anterograde tracing with neurobiotin to describe the architecture of the antennal lobes in different castes of two ant species - Camponotus sericeus and Camponotus compressus. The reproductives and worker classes are readily categorized based on size and external morphology. The overall organization of brain neuropile is comparable between castes with differences only in the visual ganglia. Males have a larger fraction of neuropile occupied by the medulla and lobula than females. In the diurnal species, C sericeus these regions are more highly represented, than in the nocturnal species C compressus. The most striking differences are in the antennal lobe where males possess a macroglomerulus, which is about ten times larger in volume than the other glomeruli; such a specialization is absent in females. Minor workers possess a significantly larger number of glomeruli than the majors despite the smaller overall volume of the lobe. These caste-specific differences occur mainly within glomerular clusters that receive input from sensory neurons that project in tracts - T4 and T5 - within the antennal nerve. The comparative anatomy of different castes of ants provides an entry point into a future systematic analysis of how divergent brain architectures can arise within a single species. (C) 2009 Elsevier Ltd. All rights reserved