1,720,959 research outputs found
A spatio-temporal analysis of land use pattern and land use changes in Rajasthan
Full text linkLand use planning is a strategic planning exercise to enhance the future potential of the agricultural sector andachieve augmented growth through judicious management of land. The presentpaper expresses the Spatio-temporal pattern of land-use in Rajasthan during 1960-61 to 2017-18 periods. The objective of the present paper is to find out the land use in different categories and the trend of variations so that the characteristics of land utilization may be analyzed for future planning. The study examines trends of variations in land use patterns in districts of Rajasthan and provides policy implications for future planning. The proportion of net sown area in the state has increased significantly from 38.7 percent in 1960-61 to 52.21 percent in 2017-18. Forest acreage has increased considerably from 2.4 percent in 1960-61 to 8.03 percent of the reporting area in 2017-18 while barren and un-cultivable land declined from 15.2 percent to 6.95 percent over the period of time. Current Fallows and Fallow Land other than Current Fallow have significantly decreased in the same time period.Keywords: Land use, Net Sown Area, Spatio-temporal, Waste land
Correlation between female literacy and sex ratio in Rajasthan: a geographical analysis.
Full text linkABSTRACT
Education changes the awareness of the society, so literacy responsible for the changing pattern of sex composition of any region. The study triumphs that Literacy has vital effects on the sex ratio. Therefore, the present paper is aimed to analyze the Correlation between female Literacy and Sex Ratio in Rajasthan using data collected by the 2011 census. Spearman’s Rank Difference method is used to analyze the correlation between literacy and sex ratio. The study reveals that the correlation between female literacy and sex ratio is r= -295. It is a moderate negative correlation. The female literacy and sex ratio have moved the opposite direction in Rajasthan. The sex ratio has been found higher in districts, which have low female literacy. Kota district has registered the highest female literacy of (65.9%) but it has a very low sex ratio of 911.
Key Words: Sex-ratio, female Literacy, Correlation
Traditional rain water harvesting systems in Rajasthan: water resources conservation and its sustainable management – a review
Full text linkCommunities all over the world have been endowed with the wisdom of indigenous technologies to collect the rain where it falls, so one can find such structures all around the world. The region of western Rajasthan in India faces frequent droughts and an acute shortages of water. This has compelled the local people to incorporate mechanisms to conserve water in their everyday life. These traditional methods have been developed over centuries and reflect the accumulated wisdom of many generations. An attempt has been made in this paper to undertake a detailed investigation of the various traditional water harvesting systems weaved in the social fabric of Rajasthan, that have been constructed using the indigenous knowledge and locally available material and are also significant for the state in present context to cope with drought.
Keywords: Traditional water harvesting, Johad, Rajasthan, Thar Desert
Scourge of high fluoride in groundwater; its implication on human health and mitigation strategies: a case study of Sikar district, Rajasthan, India.
Full text linkWater is a crucial natural resource for sustaining life and the environment but over the last few decades, the water quality is deteriorating due to its overexploitation. Fluoride is one of the critical chemical parameters, which impacts the quality of groundwater. Excess ingestion of fluoride (F) through drinking water causes ‘Fluorosis’ on human beings in many states of India, including Rajasthan. Sikar district in Rajasthan is also such a region where a high concentration of fluoride is present in groundwater. Due to the unavailability of surface water in Sikar district, groundwater plays an important role for all uses particularly as a drinking water source. The study was carried out to assess the fluoride contamination status and to understand its spatial variation. The fluoride concentration in groundwater of this region ranged from 0.1 to 9.94 mg/l. Physicochemical settings like decomposition, dissociation and subsequent dissolution with long residence time are responsible for leaching of fluoride into the groundwater. Artificial recharge structures are proposed to minimize the stress on groundwater extraction from deeper aquifers that are discharging fluoride in the area. There is an instant need to take urgent steps in this region to prevent the population from fluorosis.
Keywords: Groundwater, Fluoride, Fluorosis, Sikar District
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Hierarchical Bi-LSTM based emotion analysis of textual data
No full textNowadays, Twitter is one of the most popular microblogging sites that is generating a massive amount of textual data. Such textual data is intended to incorporate human feelings and opinions with related events like tweets, posts, and status updates. It then becomes difficult to identify and classify the emotions from the tweets due to their restricted word length and data diversity. In contrast, emotion analysis identifies and classifies different emotions based on the text data generated from social media platforms. The underlying work anticipates an efficient category and prediction technique for analyzing different emotions from textual data collected from Twitter. The proposed research work deliberates an enhanced deep neural network (EDNN) based hierarchical Bi-LSTM model for emotion analysis from textual data; that classifies the six emotions mainly sadness, love, joy, surprise, fear, and anger. Furthermore, the emotion analysis result obtained by the proposed hierarchical Bi-LSTM model is being compared and validated with the traditional hybrid CNN-LSTM approach regarding the accuracy, recall, precision, and F1-Score. It can be observed from the results that the proposed hierarchical Bi-LSTM achieves an average accuracy of 89% for emotion analysis, whereas the existing CNN-LSTM model achieved an overall accuracy of 75%. This result shows that the proposed hierarchical Bi-LSTM approach achieves desired performance compared to the CNN-LSTM model
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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