19 research outputs found
Environmental regulation and development : a cross-country empirical analysis
The authors develop comparative indices of environmental policy and performance for 31 countries using a quantified analysis of reports prepared for the United Nations Conference on Environmental and Development. In cross-country regressions, they find a very strong, continuous association between their indicators and national income per capita, particularly when adjusted for purchasing power parity. Their results suggest a characteristic progression in development. Poor agrarian economies focus first on natural resource protection. With increased urbanization and industrialization, countries move from initial regulation of water pollution to air pollution control. The authors highlight the importance of institutional development. Environmental regulation is more advanced in developing countries with relatively secure property rights, effective legal and judicial systems, and efficient public administration.Public Health Promotion,Environmental Economics&Policies,Health Economics&Finance,Agricultural Research,Economic Theory&Research,Environmental Economics&Policies,Health Economics&Finance,Agricultural Research,Economic Theory&Research,Environmental Governance
E-Governance Paradigm Using Cloud Infrastructure: Benefits and Challenges
AbstractMost of the companies including government organizations are running their applications in the cloud due to the rapid advancement in ICT. In recent years cloud computing is one of the most significantly achieved development in the IT industry which gives a platform to use the application in the form of services which is more scalable, reliable, high performance and relatively low cost as compared to other distributed computing infrastructure. E-Governance is one of the applications of ITC to enable and exchange the information between the G2G, G2C, G2B, G2E modality of society. So it can be seen simply as moving citizen services online, but in its broadest sense it refers to the technology-enabled transformation of government. It reduce costs, whilst promoting economic development, increasing transparency in government, improving service delivery and public administration, and facilitating the advancement of an information society. So for e-gov cloud implementation, resources for e-governance modality can be mapped to the services and deployment models. Though the e-Gov cloud deployment is a greatest challenge of ICT, but the main challenge is the security and protection to both government and the citizens. The main objective of this paper is to provide a clear idea about the e-Gov using cloud computing models and outlines the problems and requirements for understanding the e-Gov paradigm in India
Joothan: The Eventful Journey of a Dalit Man from Dust to a Man of Substance
A Dalit is a victim of the inexorable caste-system. He has no self respect and is treated like an animal by the members of the upper-caste. A careful observation of a Dalit’s life reveals that a Dalit woman is someone who gets doubly marginalised. On one hand, she is victimised by a frustrated Dalit man while on the other she gets subdued by the caste-centric society. The curse of untouchability has led to the physical repression of the Dalits. With the passage of time, many dalits have raised their voices to change the system. Dalit autobiography is one such medium of protest. It has enriched literature by expressing things related to the varna system. Omprakash Valmiki’s Joothan is an earnest attempt through which he has registered his protest against a compassionless society manipulated by casteism. The current paper makes an attempt to study Joothan (2007), a Dalit autobiography that shows a man’s suffering and struggle to establish his identity as a member of the society. The paper explores the ways in which the writer has presented his eventful life through various incidents that had shaped his personality. The book is life itself as in every page, the author has given us a thorough description of Dalit life and the challenges associated with it
Joothan: the Eventful Journey of A Dalit Man From Dust to A Man of Substance
A Dalit is a victim of the inexorable caste-system. He has no self respect and is treated like an animal by the members of the upper-caste. A careful observation of a Dalit's life reveals that a Dalit woman is someone who gets doubly marginalised. On one hand, she is victimised by a frustrated Dalit man while on the other she gets subdued by the caste-centric society. The curse of untouchability has led to the physical repression of the Dalits. With the passage of time, many dalits have raised their voices to change the system. Dalit autobiography is one such medium of protest. It has enriched literature by expressing things related to the varna system. Omprakash Valmiki's Joothan is an earnest attempt through which he has registered his protest against a compassionless society manipulated by casteism. The current paper makes an attempt to study Joothan (2007), a Dalit autobiography that shows a man's suffering and struggle to establish his identity as a member of the society. The paper explores the ways in which the writer has presented his eventful life through various incidents that had shaped his personality. The book is life itself as in every page, the author has given us a thorough description of Dalit life and the challenges associated with it
Analysis of Data Mining Techniques for Healthcare Decision Support System Using Liver Disorder Dataset
AbstractAccuracy in data classification depends on the dataset used for learning. Now-a-days the most important cause of death for both men and women is due to the Liver Problem. The healthcare industry collects a huge amount of data which is not properly mined and not put to the optimum use. Discovery of these hidden patterns and relationships often goes unexploited. Our research focuses on this aspect of Medical diagnosis by learning pattern through the collected data of Liver disorder to develop intelligent medical decision support systems to help the physicians. In this paper, we propose the use decision trees J48, Naive Bayes, ANN, ZeroR, 1BK and VFI algorithm to classify these diseases and compare the effectiveness, correction rate among them. Detection of Liver disease in its early stage is the key of its cure. It leads to better performance of the classification models in terms of their predictive or descriptive accuracy, diminishing of computing time needed to build models as they learn faster, and better understanding of the models. In this paper, a comparative analysis of data classification accuracy using Liver disorder data in different scenarios is presented. The predictive performances of popular classifiers are compared quantitatively
Exploring metal detoxification and accumulation potential during vermicomposting of Tea factory coal ash: sequential extraction and fluorescence probe analysis
Metal contamination from coal ashes (CAs) is widely recognized as a significant environmental concern. To learn more about metal detoxification and accumulation potential of earthworm species, metal-rich tea factory coal ashes (TFCA) were fed to Eisenia fetida and Lampito mauritii by employing a fluorescent tag detection method. Fascinatingly, on feeding fluorescence probed Zn and Cd along with cow dung to Eisenia fetida, the detection of the gut-proteins with a molecular mass higher than 100 kDa was a distinct evidence of metal binding. Significant increases were observed in the content of humified organic C [humic acid (HAC) and fulvic acid C (FAC)] and degree of humification during vermicomposting. Concurrently, considerably large amount of toxic metals (Cr, Cd, Pb, and Zn) was transformed from exchangeable to recalcitrant (organic matter and mineral bound) fractions. Moreover, total metal concentrations were reduced with high removal efficiency upon vermicomposting.The last author (KH Kim) acknowledges the support provided by the Cooperative Research Program for Agriculture Science & Technology Development (Project title: Study on model development to control odor from pig pen, Project No. PJ01052101), Rural Development Administration, Republic of Korea. This study was also supported by a grant from the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (MEST) (No. 2006-0093848). The second corresponding author (SS Bhattacharya) acknowledges the support from CSIR (Project no. 38 (1307) 14// EMR-II), India. We also thank Dr. Sandip Mukherjee, Mr. Subhendu Chatterjee, and Ms. Nazneen Hussain for their assistance in Western blotting and histological study
A Methodology for Transforming MARC21 Personal Name Authority Metadata into Linked Open Data with Integration of VIAF and LCNAF Datasets: an experimental study
The scope and application of present web technology in the library and information sector have been increasingly transforming in terms of storage, processing, and delivery of services. Libraries, information centers, archives, museums, etc. are being driven to add meaningful and interoperable web-based library services to address the growing information needs of the users. One of the major developments in recent times is the adoption of semantic web technologies in providing web-based library services. Semantic web technology is an advanced web interface that offers structured web-based data and allows organizations or institutions to describe, communicate, retrieve and re-distribute over the web. It enables the library community to include additional information from other external resources to provide enriched information services to the users. Transformation, integration, and publication of library data as linked open data (LOD) is one such service. A library database typically holds two types of data viz., bibliographic data and authority data. There are many types of authority data that include personal names, corporate names, meeting names, geographic names, chronological terms, topical terms, etc. A personal name authority record provides several attributes of a person who may be an author, a contributor, an editor, a translator, an illustrator, etc., and acts as a preferred term or an access point for the library online catalogue service. The main objective of this paper is to transform MARC 21-based personal name authority data of a Koha database to RDF triple format and publish them as Linked Open Data (LOD) with enrichment of external LOD personal name authority datasets like Congress Name Authority File (LCNAF), Virtual International Authority File (VIAF), etc. Personal name authority LOD dataset adds a persistent URI to each personal name heading and makes the data easily accessible over the web. A Workflow Model (Figure-1) has been proposed to visualize the steps, operations, and components for converting personal name authority data to a LOD dataset. OpenRefine (version 3.2, https://openrefine.org/), an open-source tool, is used for the cleansing, reconciliation, and transformation of unstructured and messy data. In this research work, the OpenRefine tool has played a crucial role in facilitating a wide range of activities, from data refinement to the insertion of the URI column, link generation, reconciliation of external data sources, conversion of source format to different RDF formats such as RDF/XML, N-triples, Turtle, JSON-LD, etc. The produced personal name authority LOD dataset may further be used by the organizations or institutions for their advanced online catalogue service
Multimodal Evaluation of the Anxiolytic Activity of Phyllanthus niruri Extract in Mice: A Comparative Behavioral and Neuropharmacological Approach
Anxiety is a widespread mental health issue that impacts millions of individuals globally, often interfering with daily functioning and overall well-being. While conventional anti-anxiety medications like benzodiazepines are widely used, their prolonged use is often limited due to side effects such as sedation, dependence, and drug tolerance. As a result, there is increasing interest in exploring herbal remedies with better safety profiles. Phyllanthus niruri Linn., a medicinal herb widely recognized in Ayurvedic medicine for treating liver and urinary problems, is known to contain neuroactive constituents such as flavonoids, tannins, phenolics, and alkaloids. This study aimed to assess the anti-anxiety potential of the hydroalcoholic extract of Phyllanthus niruri in Swiss albino mice using multiple validated behavioral models. The plant was collected and authenticated, then extracted using a 70:30 ethanol-water mixture and screened for key phytochemical constituents. Mice were randomly assigned into four groups: a control group, a standard group receiving diazepam (2 mg/kg), and two test groups treated orally with the extract at 100 mg/kg and 200 mg/kg. Behavioral tests including the Elevated Plus Maze (EPM), Open Field Test (OFT), Actophotometer, and Rotarod were conducted to evaluate anxiety levels, movement activity, and motor coordination. The extract demonstrated a dose-related reduction in anxiety-like behaviors, with effects comparable to the standard drug, and did not cause significant motor impairment. Phytochemical screening confirmed the presence of active compounds likely responsible for the observed anxiolytic action. These findings support the traditional claims of Phyllanthus niruri in stress relief and highlight its potential as a safe, natural alternative for managing anxiety disorders.
Keywords: Phyllanthus niruri, anxiolytic activity, hydroalcoholic extract, behavioral model
