Thematische Bibliographien / Odisha and Bihar

Inhaltsverzeichnis

  1. Zeitschriftenartikel
  2. Dissertationen
  3. Bücher
  4. Buchteile
  5. Konferenzberichte
  6. Berichte der Organisationen

Auswahl der wissenschaftlichen Literatur zum Thema „Odisha and Bihar“

Autor: Grafiati
Veröffentlicht am 18. Mai 2024

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Zeitschriftenartikel zum Thema "Odisha and Bihar"

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Shith, Arijit, Srikanta Padhan, Avilash Mohapatra und Sanjana Agrawal. „Eastern India's response to the pandemic: a comparative assessment of West Bengal, Bihar, and Odisha“. International Journal Of Community Medicine And Public Health 11, Nr. 1 (30.12.2023): 248–51. http://dx.doi.org/10.18203/2394-6040.ijcmph20234133.

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Background: The three eastern states of India (Odisha, Bihar, and West Bengal) share common borders with similar cultural and socio-demographic characteristics due to historical ties. In the recent past, these states witnessed large-scale return migration of workers, leading to increasing numbers of COVID-19 cases. Despite the increasing number of cases, the testing capacity in Odisha, Bihar, and West Bengal is significantly lower compared to the testing capacities in the western, southern, and northern regions. Methods: This study utilized a nine-month retrospective longitudinal design, focusing on the COVID-19 situation and healthcare facilities in Odisha, West Bengal, and Bihar from May 2020 to January 2021. Data were extracted from various Government and research institution websites, and descriptive analyses employed bar and line diagrams. Results: Odisha and Bihar show declining COVID-19 cases, deaths, and test positivity rates, while West Bengal is on the rise. Testing rates are consistently increasing in all three states. West Bengal has the highest doctors per million, Odisha has the most nurses per million, and more pharmacists are registered in West Bengal. In health infrastructure, Odisha has COVID-19 special hospital testing centers, while West Bengal leads in hospital beds and ICU beds. Conclusions: The burden of COVID-19 infection in India was heterogeneous, with evidence of high transmission in the eastern, northeast, western, and southern regions. The study findings will be helpful in making informed decisions about the current state-wise health status in eastern India.
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2

Bedamatta, Rajshree. „Book review: Food Security Atlas of Rural Odisha 2018 and Food Security Atlas of Rural Bihar 2018“. Indian Journal of Human Development 13, Nr. 3 (Dezember 2019): 392–94. http://dx.doi.org/10.1177/0973703019894442.

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3

Chandramohan, Kolagani, Parigi Venkateswara Prasanna, P. Reddy und S. Nagaraju. „Eriolaena stocksii Hook.f. & Thomson ex Mast.- A Little Known Endemic Species from Odisha State, India“. Indian Journal of Forestry 40, Nr. 1 (01.03.2017): 103–5. http://dx.doi.org/10.54207/bsmps1000-2017-x32b29.

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Eriolaena stocksii Hook. f. & Thomson ex Mast. is reported for the first time from Odisha state. Earlier it was reported from Bihar, Gujarat, Karnataka, Maharashtra and Tamil Nadu. Detailed description, photo plate and relevant notes are provided.
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DEBNATH, G. C., und G. K. DAS. „Verification of operational rainfall forecast over eastern India during southwest monsoon season“. MAUSAM 68, Nr. 2 (30.11.2021): 327–34. http://dx.doi.org/10.54302/mausam.v68i2.635.

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The Indian summer monsoon rainfall forecast and its verification has a direct impact on various sectors of public interest besides economy of the country. The present study highlights the verification of distribution forecast of synoptic method issued daily for six met subdivisions, comprising of five states of eastern India namely West Bengal, Sikkim, Bihar, Jharkhand and Odisha. Three years monsoon season rainfall data from 2011 through 2013 are used for the study area. The distribution-oriented verification is done for different rainfall classes like dry, isolated, scattered, fairly widespread and widespread to understand the usefulness of the synoptic method. Statistics are presented for both combined classes of Percentage Correct (PC) and Heidke Skill Score (HSS) of the met subdivision wise forecast and PC, POD and CSI for individual classes. It has been observed that among the met subdivision the efficiency of the method is highest in Sub Himalayan West Bengal (SHWB) & Sikkim followed by Gangetic West Bengal (GWB), Odisha, Jharkhand and Bihar.
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R S, Sharma, Mandal B K und Das G K. „DIAGNOSTIC ANALYSIS OF CATASTROPHIC FLOOD OVER EASTERN INDIA IN JULY 2017 - A CASE STUDY“. MAUSAM 71, Nr. 3 (03.08.2021): 513–22. http://dx.doi.org/10.54302/mausam.v71i3.53.

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Floods are very common in eastern India during southwest monsoon season. It brings a lot of misery to the people of this region. Every year eastern Indian states namely West Bengal, Odisha and Bihar witness such types of flood during monsoon period. Major river basins in eastern India are Ganga river basin in Bihar and West Bengal area, Odisha has three river basins namely Mahanadi, Subarnarekha, Brahmani and Baitarani [Fig. 1(a)]. As majority of tributary rivers of Ganga passing through Bihar and West Bengal; these two states are more prone to massive flood during monsoon season. The abnormal occurrence of rainfall generally causes floods. It occurs when surface runoff exceeds the capacity of natural drainage. The heavy rainfall is frequently occurring event over the area during South-West Monsoon (SWM) every year. The geographical location of the area, orography and its interaction with the basic monsoon flow is considered as one of prime factors of these heavy rainfall activities. Synoptically, the latitudinal oscillation of eastern end of the Monsoon Trough and the synoptic disturbances formed or passing over the eastern India region and / or its neighbourhood that brings moisture laden Easterly or South-Easterly winds over the area are the main causes responsible for heavy rainfall in this area.
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KARTHIGEYAN, KALIYAMURTHY, und PERUMAL MURUGAN. „Typification of Lophopogon tridentatus, an Indian endemic (Poaceae, Andropogoneae)“. Phytotaxa 367, Nr. 1 (30.08.2018): 97. http://dx.doi.org/10.11646/phytotaxa.367.1.12.

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The genus Lophopogon Hackel (1887: 26) is endemic to India (Singh et al. 2015) and is represented by two species, viz. L. kingii Hook. f. (1896: 149) and L. tridentatus (Roxburgh) Hackel (1889: 254). The distribution of L. kingii is restricted to Bihar and Odisha (Chandramohan et al. 2016; Tiwari et al. 2017), whereas L. tridentatus is more widespread, distributed in Andhra Pradesh, Bihar, Gujarat, Karnataka, Madhya Pradesh, Maharashtra and Tamil Nadu. (Bor 1960; Singh & Deshpande 1980; Sur 2004; Kabeer et al. 2009). On critical study and survey of literature, it was found that the name L. tridentatus needs to be typified.
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Shiva Prasad Mohanty, Kshirabdhi Tanaya Rautaray und Raka Jain. „Folklore use of Common Hydrophytes Found in and around ‘The Jagannath Temple’, Puri, Odisha“. Journal of Ayurveda and Integrated Medical Sciences 8, Nr. 11 (28.12.2023): 104–7. http://dx.doi.org/10.21760/jaims.8.11.15.

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Background: Wetlands are rich in aquatic resource which maintains biodiversity and offers support to various aquatic lives. This atmosphere is generally supports hydrophytic plants or hydrophytes.[1] In India wetlands occupy 59.2 million hectres.[2] Puri is a coastal district of Eastern Odisha famous for “The Jagannath Temple” and associated ponds, wells and host of other ancient monuments along with long sea beaches and many rivers. Much survey has been done previously for hydrophytes in India and other districts of Odisha, but not much for Puri district. This work is important as many folklore practicing peoples are using various aquatic herbs for treatment purpose. Methodology: The study was conducted during 2022-2023, involving field visit, meeting with folklore practicing people and taking the photographs of plants for identification. The plants were identified based on The Flora of Odisha[3] and Botany of Bihar & Odisha[4] and contemporary monographs and reviews.[5,6] Results & Discussion: A total number of 36 species belonging to 22 families were documented and their supposed folklore medicinal uses have been recorded.
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U, Kovuri, und Motrapu L. „Testicular calcified parasitic mass masquerading as neoplasm“. Journal of Medical and Scientific Research 10, Nr. 4 (03.10.2022): 251–52. http://dx.doi.org/10.17727/jmsr.2022/10-47.

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Endemic filariasis is very common in Uttar Pradesh, Bihar, Jharkhand, Odisha, Andhra Pradesh and Tamil Nadu. It’s occurrence in lymph node and lymphatic vessels is common, but rare in other sites and should always be reported. Testicular mass may be mistaken as malignancy. Here we report a case of 29-years-old male who presented with testicular swelling and diagnosed as pyocele clinically. Biopsy sent as low orchidectomy specimen showed filarial worm on histopathology.
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TIWARI, ARJUN PRASAD, SANDIP GAVADE und SHAIKH MUJAFFAR. „Lectotypification of Lophopogon kingii (Poaceae, Andropogoneae)“. Phytotaxa 296, Nr. 3 (20.02.2017): 295. http://dx.doi.org/10.11646/phytotaxa.296.3.10.

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The genus Lophopogon Hackel (1887: 26) is endemic to India (Singh et al. 2015) and consist of two species: L. tridentatus (Roxburgh 1820: 261) Hackel in Candolle & Candolle (1889: 26) and L. kingii Hooker (1896: 149). The latter species is known from the type locality in Monghyr district of Bihar state and recently recorded from Satkosia Tiger Reserve in Odisha state (Chandramohan et al. 2016). During the taxonomic study of L. kingii Hook.f., the name resulted not yet typified.
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Srivastava, Vikas Deepak, Vijay Kumar und Prabhu Narayan Srivastava. „Understanding the Dynamics of Multi-Dimensional Poverty Index: BIMARU States: An Econometrics Approach“. Saudi Journal of Economics and Finance 7, Nr. 09 (02.09.2023): 400–406. http://dx.doi.org/10.36348/sjef.2023.v07i09.001.

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The research study analyzes multidimensional poverty in seven states of India, namely Bihar, Chhattisgarh, Jharkhand, Madhya Pradesh, Odisha, Rajasthan, and Uttar Pradesh. The study focuses on three key dimensions of poverty: infant mortality rate, birth rate, and educational dropout rates at both primary and upper primary levels. Additionally, the study examines the availability of basic amenities such as clean cooking fuel, improved sanitation facilities, and safe drinking water. By calculating the Multidimensional Poverty Index (MPI), the study ranks the states based on their performance in these dimensions. Madhya Pradesh emerges as the top-performing state with the lowest MPI score of 0.310745, followed by Uttar Pradesh, Rajasthan, Chhattisgarh, Odisha, Bihar, and Jharkhand. The study reveals that despite having relatively low MPI scores, Madhya Pradesh and Uttar Pradesh still struggle with high infant mortality rates and birth rates. This indicates the need for targeted interventions to improve healthcare and family planning services in these states. Additionally, the study highlights the importance of education in poverty reduction. It identifies Jharkhand and Chhattisgarh as states with the highest primary and upper primary education dropout rates. This emphasizes the need for improving the quality of education and implementing strategies to encourage school completion. It also states the importance of addressing issues related to healthcare, education, and basic amenities in order to reduce poverty and improve overall well-being. The normalized index approach used in this study provides a comprehensive and objective measure of poverty, enabling policymakers and stakeholders to make informed decisions and allocate resources effectively.
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Dissertationen zum Thema "Odisha and Bihar"

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Pal, Anushuya. „Development policies in the social sector and the state party led coalition governments: study of two states of Odisha and Bihar (2000-2010)“. Thesis, University of North Bengal, 2020. http://ir.nbu.ac.in/handle/123456789/4331.

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Bücher zum Thema "Odisha and Bihar"

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Sinha, Archana. The unravelling of MGNREGA: A comparative study of Bihar, Chhattisgarh, Jharkhand, Madhya Pradesh, Odisha and Uttar Pradesh. New Delhi: Gyan, 2019.

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Singh, Prem. Land and livelihood initiatives in India: Learning from Andhra Pradesh, Bihar, Karnataka, Odisha, and West Bengal State. Mussoorie: Centre for Rural Studies, Lal Bahadur Shastri National Academy of Administration in association with Manak Publications Pvt. Ltd, New Delhi, 2015.

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Buchteile zum Thema "Odisha and Bihar"

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Joshi, P. K., Devesh Roy, Vinay Sonkar und Gaurav Tripathi. „Technologies for Maize, Wheat, Rice and Pulses in Marginal Districts of Bihar and Odisha“. In Technological and Institutional Innovations for Marginalized Smallholders in Agricultural Development, 323–67. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-25718-1_18.

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Nayak, Jatindra Kumar, und Animesh Mohapatra. „Bipin Bihari Ray“. In Critical Discourse in Odia, 267–74. London: Routledge India, 2021. http://dx.doi.org/10.4324/9781003224778-26.

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Kumar, Jitendra, Anindita Adhikary und Ajeya Jha. „Small Active Investors' Perceptions and Preferences Towards Tax Saving Mutual Fund Schemes in Eastern India“. In Foreign Direct Investments, 1789–800. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2448-0.ch080.

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Perception and preference factor plays an important role and help the investor to understand and make the meaningful investment decisions. These two factors are highly influenced by demographic differences of an investor. The present study aims to examine the perception and preference factors influencing the investment behavior of an investor based on various demographics differences. Survey method of primary data collection techniques was adopted to collect responses of 750 respondents from Eastern India particularly (state capital or satellite towns having the population of 10,00,000) Bihar, Jharkhand, Odisha, West Bengal, Sikkim and Assam. Results of the present study suggest that significant demographics differences occur in investment perceptions and preferences towards tax saving mutual fund investments among the investors.
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Gogoi, Elizabeth. „State Climate Change Planning“. In India in a Warming World, 370–80. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780199498734.003.0021.

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In 2009, India began one of the world’s largest exercises in sub-national planning for climate change, with the launch of the State Action Plan on Climate Change (SAPCC) preparation process. How have the SAPCCs fared over the last 10 years and what does this say about the potential and challenges of state climate change planning? This chapter explores the evolving concept of state climate change planning in India, and whether and how implementation of SAPCCs has occurred and the challenges surrounding it. It uses examples from six states (Assam, Bihar, Chhattisgarh, Kerala, Maharashtra, and Odisha) to draw out trends in terms of not only the status of SAPCC implementation but also evidence of wider mainstreaming of adaptation within development planning. The experience of these states suggest that state climate change planning is motivated and influenced by different and varied local factors, particularly governance-related challenges.
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Vashishtha, Kriti, Ruchi Joshi, Charu Dhankar und Shraddha Tripathi. „Above and Beyond Survival“. In The Climate Change Crisis and Its Impact on Mental Health, 96–119. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-3272-6.ch009.

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Myriad studies have reported that natural disasters have adverse effect of climate change. Dismally, the mental health impacts of such disasters are often overlooked, and the long-term psychological effects on survivors are often understudied. This chapter aims to explore the mental health impact of some deadliest natural disasters in India, caused by climate change. The disasters from 1943 to 2018 were examined chronologically for this purpose. The great Bengal famine/drought, Super Cyclone Odisha, the Tsunami in the Indian Ocean, and floods in Bihar, Uttarakhand, Kashmir, and Kerala are among the devastating disasters. Researchers also analyzed the data from the National Mental Health Survey of India (2022), which estimates the prevalence of mental health disorders in India. This investigation contributes to a holistic understanding of the enduring mental health legacy by synthesizing knowledge from the fields of psychology, fostering a more informed and compassionate approach to supporting affected communities on their journey toward healing.
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Jaglal Untwal, Nitin. „A State-Wise Assessment of Greenhouse Gases Emission in India by Applying K-mean Clustering Technique“. In Advanced Mathematical Applications in Data Science, 162–76. BENTHAM SCIENCE PUBLISHERS, 2023. http://dx.doi.org/10.2174/9789815124842123010014.

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 India is a vast country with variations in geography as well as in population density. The pollution in India is increasing day by day. The Greenhouse gas emission is on the rise due to various activities like agriculture, industry, power generation, transportation, etc. Carbon dioxide (CO2 ), Carbon Monoxide (CO), and Methane (CH4 ) are the major elements in greenhouse gases. The emission of greenhouse gases causes various threats to the environment and health. The states in India have been under development since independence. Various activities are on the rise. The states are not having balanced growth as far as the industrial and agriculture sectors are concerned. The powerhouse of industrial growth is the state of Maharashtra and Gujarat. The population density is also scattered in India. The states contribute differently to greenhouse gases emission and it is difficult for the government to make policy category-wise for the control of greenhouse gases emissions. The classification of states into different categories will help in the strategic formulation of policy and strategy for different states depending on their greenhouse gases emission and per capita analysis of these emissions. The per capita greenhouse gas emission is calculated by dividing the total emissions by the total population. After analyzing the above problem, the researchers have decided to conduct the study titled A state-wise Assessment of greenhouse gas emission in India by applying the K-mean Clustering Technique using Python Programming. Research is carried out in Five steps -Feature extraction and engineering, Data extraction, Standardizing and Scaling, Identification of Clusters, Cluster formation. The study period is 2020. The data selected for analysis is yearly data state-wise of different Indian states. Data taken for the study is from the Kaggle database. Findings - The k- mean algorithm (cluster analysis using Python Programming) classifies the states of India into three clusters. Cluster one includes 16 states of India viz. Arunachal, Assam, Bihar, Himachal Pradesh, Jammu & Kashmir, Jharkhand, Madhya Pradesh, Manipur, Meghalaya, Mizoram, Odisha, Rajasthan, Sikkim, Tripura, Uttar Pradesh, Uttarakhand. Cluster two includes 8 states of the India. Viz Andhra Pradesh, Goa, Gujarat, Karnataka, Kerala, Maharashtra, Tamilnadu, West Bengal. Cluster three includes 4 states of India Viz Haryana, Nagaland, Punjab, Chhattisgarh. The major contributors to greenhouse gase emission are in cluster three.The medium-range emission for greenhouse gases emission are grouped in cluster two and Minimum Range greenhouse gase emission states are included in cluster one.
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Konferenzberichte zum Thema "Odisha and Bihar"

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Kharbanda, Anshul. „Second Chance Schooling for Women: A Case Study of India“. In Tenth Pan-Commonwealth Forum on Open Learning. Commonwealth of Learning, 2022. http://dx.doi.org/10.56059/pcf10.874.

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Low levels of literacy in India with over 200 million illiterate women creates a negative impact not only on women’s own lives, their families but also on country’s economic development. According to the National Commission for the Protection of Child Rights (NCPCR) report, around 40 percent of adolescent girls in the age group of 15-18 are not getting education. The National Education Policy 2020 (NEP 2020) recognises the role of education in women’s lives considering gender as a cross cutting theme across all its activities. The National Institute of Open Schooling (NIOS) is currently implementing a programme called Second Chance Education and Vocational Learning (SCE) with the active support of UN Women aimed at empowerment of the most marginalized women, using the pathways of learning, employment and entrepreneurship. SCE was implemented in 12 districts across 4 states of India– Bihar, Maharashtra, Odisha and Rajasthan, covering 200 villages. More than 2,500 rural girls have enrolled for the Programme. This is a qualitative study on 60 girls enrolled for the programme, based on focussed group discussions held telephonically with a group of five girls from each of the 12 districts. The findings of the study reveal several challenges faced by girls/women and different stakeholders in its implementation. The study suggests how this model may be up-scaled to other states of India as well.
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Berichte der Organisationen zum Thema "Odisha and Bihar"

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Saini, Smriti, Avinash Kishore und Muzna Alvi. Regressing forward: Agriculture mechanization subsidy modalities in Bihar and Odisha. Washington, DC: International Food Policy Research Institute, 2020. http://dx.doi.org/10.2499/p15738coll2.133606.

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Revi, Aromar, Teja Malladi, Dhananjayan Mayavel, Nilakshi Chatterji und Pratyush Tripathy. India Higher Education Atlas: Bihar, Chhattisgarh, Jharkhand, Odisha, West Bengal - Volume 3. Indian Institute for Human Settlements, 2018. http://dx.doi.org/10.24943/9789387315587.

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