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1

Shith, Arijit, Srikanta Padhan, Avilash Mohapatra y 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, n.º 1 (30 de diciembre de 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, n.º 3 (diciembre de 2019): 392–94. http://dx.doi.org/10.1177/0973703019894442.

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Chandramohan, Kolagani, Parigi Venkateswara Prasanna, P. Reddy y S. Nagaraju. "Eriolaena stocksii Hook.f. & Thomson ex Mast.- A Little Known Endemic Species from Odisha State, India". Indian Journal of Forestry 40, n.º 1 (1 de marzo de 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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4

DEBNATH, G. C. y G. K. DAS. "Verification of operational rainfall forecast over eastern India during southwest monsoon season". MAUSAM 68, n.º 2 (30 de noviembre de 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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5

R S, Sharma, Mandal B K y Das G K. "DIAGNOSTIC ANALYSIS OF CATASTROPHIC FLOOD OVER EASTERN INDIA IN JULY 2017 - A CASE STUDY". MAUSAM 71, n.º 3 (3 de agosto de 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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6

KARTHIGEYAN, KALIYAMURTHY y PERUMAL MURUGAN. "Typification of Lophopogon tridentatus, an Indian endemic (Poaceae, Andropogoneae)". Phytotaxa 367, n.º 1 (30 de agosto de 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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7

Shiva Prasad Mohanty, Kshirabdhi Tanaya Rautaray y Raka Jain. "Folklore use of Common Hydrophytes Found in and around ‘The Jagannath Temple’, Puri, Odisha". Journal of Ayurveda and Integrated Medical Sciences 8, n.º 11 (28 de diciembre de 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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8

U, Kovuri y Motrapu L. "Testicular calcified parasitic mass masquerading as neoplasm". Journal of Medical and Scientific Research 10, n.º 4 (3 de octubre de 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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9

TIWARI, ARJUN PRASAD, SANDIP GAVADE y SHAIKH MUJAFFAR. "Lectotypification of Lophopogon kingii (Poaceae, Andropogoneae)". Phytotaxa 296, n.º 3 (20 de febrero de 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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10

Srivastava, Vikas Deepak, Vijay Kumar y Prabhu Narayan Srivastava. "Understanding the Dynamics of Multi-Dimensional Poverty Index: BIMARU States: An Econometrics Approach". Saudi Journal of Economics and Finance 7, n.º 09 (2 de septiembre de 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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11

Jena, Anannya. "A Study to Compare the Production and Productivity of Rice Crop Between the BGREI Beneficiary Farmers and Non-Beneficiary Farmers in Odisha". International Journal of Current Microbiology and Applied Sciences 10, n.º 9 (10 de septiembre de 2021): 97–104. http://dx.doi.org/10.20546/ijcmas.2021.1009.011.

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India is marching ahead to face the enormous triple challenges of sustainable increased agriculture and allied sector productivity, maintaining environmental sustainability and mitigating poverty. More than 70% rural households depend on agriculture and the contribution of Agriculture and allied sectors to total GDP (Gross Domestic Product) is 17%. The agriculture and allied sector not only meet the food and nutritional requirements of 1.3 billion Indian, it contributes significantly to production, employment and demand generation through various backward and forward linkage. To extend the benefit of first green revolution (1966-67) and to reduce the yield gap Bringing Green Revolution in Eastern India programme was launched under RKVY (Rashtriya Krishi Vikas Yojana) in 2010-11 comprising seven states namely Bihar, Eastern UP, Jharkhand, Odisha, Assam, Chhatisgarh and West Bengal. There was a need for a second green revolution to feed the growing population. The present study was conducted during 2020-21 in two blocks namely Jamankira and Jujomura in Sambalpur district of Odisha to compare the production and productivity of rice crop between the BGREI beneficiary and non beneficiary farmers. During 2012-13 and 2013-14, the BGREI programme was extended to 22 districts of Odisha and National Rice Research Institute (previously CRRI), Cuttack, Odisha is the nodal agency to guide, supervise, monitor and supervise technical interventions. BGREI consists of the following interventions such as (i) Block demonstration (ii) Asset building (iii) Site specific activities (iv) Marketing support including post harvest management (v) Seed production and distribution (vi) Subsidy on need based inputs (vii) Training programme on cropping system based demonstration etc.
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12

Samal, Parshuram y Biswajit Mondal. "Profitability in rice cultivation across Indian States". Oryza-An International Journal on Rice 56, Special Issue (29 de mayo de 2019): 156–63. http://dx.doi.org/10.35709/ory.2019.56.s.8.

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The paper discusses the profitability in rice farming using secondary data for the period 1980-81 to 2014-15. The average costs and profits were computed and it was found that cost of cultivation has increased over years, but profit has not increased commensurately. The irrigated states like Punjab, Haryana and Andhra Pradesh have maintained or increased profits over years, but not the rainfed states. There were losses in rice farming in rainfed states like Assam, Bihar, Odisha, West Bengal and Maharashtra, when total cost of cultivation was considered. Promotional measures and investment by state and central governments are needed to make rice production profitable.
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13

Samal, Parshuram y Biswajit Mondal. "Profitability in rice cultivation across Indian States". Oryza-An International Journal on Rice 56, Special (29 de mayo de 2019): 156–63. http://dx.doi.org/10.35709/ory.2019.56.spl.8.

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The paper discusses the profitability in rice farming using secondary data for the period 1980-81 to 2014-15. The average costs and profits were computed and it was found that cost of cultivation has increased over years, but profit has not increased commensurately. The irrigated states like Punjab, Haryana and Andhra Pradesh have maintained or increased profits over years, but not the rainfed states. There were losses in rice farming in rainfed states like Assam, Bihar, Odisha, West Bengal and Maharashtra, when total cost of cultivation was considered. Promotional measures and investment by state and central governments are needed to make rice production profitable.
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14

Mehra, Dr Anjali, Urvashi Bali y Nitin Arora. "Quality of Primary Education in India: An Inter-state Perspective". JOURNAL OF SOCIAL SCIENCE RESEARCH 2, n.º 1 (30 de octubre de 2013): 91–101. http://dx.doi.org/10.24297/jssr.v2i1.6669.

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The present study analyzes the interregional disparities in the quality of primary education in rural India. The study is based on the Annual Status of Education Report, 2010 prepared by Pratham. Quality of Education Index (QEI) has been constructed using three indices: (i) Quality of Teaching Index, (ii) School Infrastructure Index and (iii) Learning Achievement Index. It has been observed that Kerala is the only state which scores the highest in all the three indices whereas states like Bihar, Uttar Pradesh, Assam, Odisha, Jharkhand and majority of North Eastern state are at the bottom. At the regional level a high quality knowledge base on education system reform needs to be developed.
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15

Nagar, Vaidehi, Sharad Gor y Amita Patel. "Filarial Epididymo-Orchitis – A Case Report". Scholars Journal of Medical Case Reports 11, n.º 12 (11 de diciembre de 2023): 2211–15. http://dx.doi.org/10.36347/sjmcr.2023.v11i12.011.

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In an endemic country like India, the occurrence of filariasis is very common, especially in the states of Uttar Pradesh, Bihar, Jharkhand, Odisha, Andhra Pradesh, and Tamil Nadu. We present a case of a 50-year-old male with scrotal swelling. The patient had a history of trauma before a month. The sonography report suggested the possibility of hematocele. During histopathological examination, it was diagnosed as epididymo-orchitis caused by an adult filarial worm (Wuchereria bancrofti). From this, it can be concluded that the possibility of parasitic infestation as a differential diagnosis should be kept in mind when encountering cases of hydrocele, hematocele, or epididymo-orchitis.
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Bhoi, Priya Brata, Veeresh S. Wali, Deepak Kumar Swain, Kalpana Sharma, Akash Kumar Bhoi, Manlio Bacco y Paolo Barsocchi. "Input Use Efficiency Management for Paddy Production Systems in India: A Machine Learning Approach". Agriculture 11, n.º 9 (31 de agosto de 2021): 837. http://dx.doi.org/10.3390/agriculture11090837.

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This research illustrates the technical efficiency of the pan-India paddy cultivation status obtained through a stochastic frontier approach. The results suggest that the mean technical efficiency varies from 0.64 in Gujarat to 0.95 in Odisha. Inputs like human labor, mechanical labor, fertilizer, irrigation and insecticide were found to determine the yield in paddy cultivation across India (except for Chhattisgarh). Inefficiency in the paddy production in Punjab, Bihar, West Bengal, Andhra Pradesh, Tamil Nadu, Kerala, Assam, Gujarat and Odisha in 2016–2017 was caused by technical inefficiency due to poor input management, as suggested by the significant σ2U and σ2v values of the stochastic frontier model. In addition, most of the farm groups in the study operated in the high-efficiency group (80–90% technical efficiency). No specific pattern of input use can be visualized through descriptive measures to give any specific policy implication. Thus, machine learning algorithms based on the input parameters were tested on the data in order to predict the farmers’ efficiency class for individual states. The highest mean accuracy of 0.80 for the models of all of the states was achieved in random forest models. Among the various states of India, the best random forest prediction model based on accuracy was fitted to the input data of Bihar (0.91), followed by Uttar Pradesh (0.89), Andhra Pradesh (0.88), Assam (0.88) and West Bengal (0.86). Thus, the study provides a technique for the classification and prediction of a farmer’s efficiency group from the levels of input use in paddy cultivation for each state in the study. The study uses the DES input dataset to classify and predict the efficiency group of the farmer, as other machine learning models in agriculture have used mostly satellite, spectral imaging and soil property data to detect disease, weeds and crops.
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17

Sethi, Vani, Arti Bhanot, Sourav Bhattacharjee, Rajkumar Gope, Debjeet Sarangi, Vikash Nath, Nirmala Nair et al. "Integrated multisectoral strategy to improve girls’ and women’s nutrition before conception, during pregnancy and after birth in India (Swabhimaan): protocol for a prospective, non-randomised controlled evaluation". BMJ Open 9, n.º 11 (noviembre de 2019): e031632. http://dx.doi.org/10.1136/bmjopen-2019-031632.

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IntroductionSwabhimaan is a community-based programme to improve adolescent girls’ and women’s nutrition in the rural areas of three Indian states—Bihar, Chhattisgarh and Odisha with high prevalence of undernutrition.Methods and analysisSwabhimaan has a nested prospective, non-randomised controlled evaluation. Since 2017, five intervention sites receive community-led interventions through national government’s livelihood mission supported women’s self-help group federations and five control sites will initiate these activities 36 months later, in 2020. Community-led activities aim to improve coverage of 18 interventions including adequacy of food consumed, prevention of micronutrient deficiencies, access to basic health services and special care of nutritionally ‘at risk’ girls and women, improving hygiene and access to water and sanitation services and access to family planning services. The evaluation includes baseline (2016–2017), midline (2018–2019) and endline (2020–2021) surveys covering 6638 adolescent girls, 2992 pregnant women and 8755 mothers of children under 2. The final impact analysis will be by intention to treat, comparing primary and secondary outcomes in five intervention areas and five control areas. The primary outcomes are: (1) a 15% reduction in the proportion of adolescent girls with a body mass index (BMI) <18.5 kg/m2; (2) a 15% reduction in the proportion of mothers of children under two with a BMI <18.5 kg/m2and (3) and a 0.4 cm improvement in mean mid-upper arm circumference among pregnant women.Ethics and disseminationAll procedures involving human subjects were approved by the Institutional Ethics Committee of the All India Institute of Medical Sciences, Bihar, Chhattisgarh and Odisha and in compliance with guidelines laid down in the Declaration of Helsinki. Evidence will inform maternal and preconception nutrition policy at national and state level.Trial registration number58261b2f46876 and CTRI/2016/11/007482; Pre-results.
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Kumar, Jitendra, Anindita Adhikary y Ajeya Jha. "Small Active Investors' Perceptions and Preferences Towards Tax Saving Mutual Fund Schemes in Eastern India". International Journal of Asian Business and Information Management 8, n.º 2 (abril de 2017): 35–45. http://dx.doi.org/10.4018/ijabim.2017040103.

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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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Raut, Rajdeep Kumar y Rohit Kumar. "Investment Decision-Making Process between Different Groups of Investors: A Study of Indian Stock Market". Asia-Pacific Journal of Management Research and Innovation 14, n.º 1-2 (marzo de 2018): 39–49. http://dx.doi.org/10.1177/2319510x18813770.

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This article attempts to identify differences in perception for the seven most prominent behavioural biases between two groups of individual investors: (a) experienced and (b) new to the market investors in investment decision-making. Primary data have been collected from the active individual stock market participants from the four states of India, namely, Jharkhand, Bihar, Odisha and West Bengal. Findings of this study suggest that respondents have a similar perception for availability bias, representativeness and emotional contagion while the other four factors such as herding, informational cascades, anchoring and overconfidence show significant discrimination in investment decision-making between the two groups of investors. Herding is identified as the most discriminatory factor for investor groups.
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Parija, Saswati y Lopamudra Biswal. "Seasonal Incidence of Insect Pests and Predatory Fauna on Toria (Brassica rapa) in West Central Tableland of Odisha, India". International Journal of Environment and Climate Change 13, n.º 11 (6 de octubre de 2023): 231–40. http://dx.doi.org/10.9734/ijecc/2023/v13i113162.

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The present field investigation was conducted for two consecutive Rabi seasons of years 2021/22 and 2022/23 at the College of Horticulture, Odisha University of Agriculture and Technology, Chiplima, Odisha to record the seasonal incidence of major insect pests with the predatory fauna on toria (Brassica rapa) in relation to meteorological parameters. The occurring pest complex in both seasons constituted a total nine number of insects and three consistent predatory fauna. The highest peak population of pests recorded for 2021/22 were: mustard aphid (3.7 A.I plant-1 at 50th SMW), whitefly (25.9 whiteflies plant-1 at 50th SMW), painted bug (13.37 nymphs+adults plant-1 at 50th SMW), mustard sawfly (12 larvae plant-1 at 48th SMW), flea beetle (12.45 grubs+adults plant-1 at 50th SMW), diamondback moth (1.3 larvae plant-1 at 52nd SMW), leaf Webber (6.45 larvae plant-1 at 51st SMW), Bihar hairy caterpillar (29.3 larvae plant-1 at 50th SMW) and tobacco caterpillar (8.9 larvae plant-1 at 49th SMW. Similarly, the highest peak population of pests recorded for 2022/23 were: mustard aphid (3.82 A.I plant-1 at 51st SMW), whitefly (23.8 whiteflies plant-1 at 50th SMW), painted bug (13.7 nymphs+adults plant-1 at 51st SMW), mustard sawfly (15 larvae plant-1 at 48th SMW), flea beetle (13.45 grubs+adults plant-1 at 50th SMW), diamondback moth (1.2 larvae plant-1 at 47th SMW), leaf Webber (5.45 larvae plant-1 at 51st SMW) which coincided the abundance of natural enemies namely, coccinellid predators, syrphid fly and spider between 50th to 52nd SMW of the experimental year for both seasons. The correlation of insect pest density with weather parameters (Rabi, 2021/22) showed negative correlations with Tmax (mustard aphid, painted bug, flea beetle, leaf Webber, diamondback moth, Bihar hairy caterpillar), Tmin (all pests), rainfall (mustard aphid, whitefly, mustard sawfly, flea beetle, tobacco caterpillar), RH% at 7 hours (all pests), and RH% at 14 hours (mustard aphid, whitefly, painted bug, leaf Webber, diamondback moth, Bihar hairy caterpillar).For natural enemies, Tmax, Tmin, RH% at 7 hours, RH% at 14 hours, and wind velocity had negative effects on their population, while rainfall had a positive influence. However, in Rabi 2022/23, Tmax, Tmin, and RH% at 14 hours negatively influenced the pest population mostly except for wind velocity and RH% at 7 hours. For predators, wind velocity showed positive correlation with its’ population.
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Gajula, Prabhakar, Kamalakar Palakurthy y Shailaja Kusuma. "PHARMACOGNOSTIC STUDIES ON LEAVES OF GYMNANTHEMUM AMYGDALINUM WITH SPECIAL REFERENCE TO A NEW ADDITION TO THE FLORA OF SOUTH INDIA". Indian Drugs 59, n.º 06 (4 de julio de 2022): 37–46. http://dx.doi.org/10.53879/id.59.06.13008.

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There has been a tremendous increase in the demand for plant-based drugs over the last several years. Due to this, there is a need for standardization of the plant raw materials. Although modern techniques are being widely used for the standardization process, the pharmacognostic approach is still reliable for identifying the raw material. The current study deals with a detailed investigation of macro-and micromorphological characters, powder characteristics, organoleptic characters, HPTLC fingerprinting and preliminary phytochemical analysis on the leaves of Gymnanthemum amygdalinum. It belongs to the family Compositae. Commonly known as a bitter leaf, in Telugu “sugarchettu” it is found throughout Bihar, Madhya Pradesh, Odisha, West Bengal and has been recently reported in Sriramagiri Village, Mahabubababad District, Telangana, South India. The leaves are used ethnomedicinally and in folk-lore medicine, as antidiabetic and in treatment of gastritis and hepatitis. The present work can serve as a useful tool in identifying, authentication and standardization of the plant material and quality control in the pharmaceutical industry.
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22

Bean, Susan S. "Making, Using, Disposing, Remaking…: Sacred Arts of Re-Creation in Southern Asia". Religions 13, n.º 7 (15 de julio de 2022): 657. http://dx.doi.org/10.3390/rel13070657.

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For centuries, in the eastern Indian subcontinent, areas now in Bangladesh and the Indian states of West Bengal, Odisha, and Bihar, temporary polychrome terracruda (air-dried clay) figural images have been created for periodic pujas (rituals of worship) and immersed in nearby rivers or ponds at the event’s close. This essay explores how the perennial re-creation of terracruda ritual images supported the rise of goddess worship, stimulated the expansion of the annual cycle of religious festivals, and contributed to a modernizing cosmopolitan public culture. Drawing on recent reconsiderations of materiality that recognize the active roles of inanimate objects and substances, terracruda sacred sculpture is approached through the medium to consider the distinctive contributions that clay makes in interactions with artists, patrons, devotees, and the public. This essay focuses on how the transformational character of air-dried clay enables practices of making, worshipping, and disposing that evoke cosmic cycles, harness potencies that inhere in earth, and realign religious practices in changing times.
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23

Ghara, Tushar Kanti. "Comparing States through Educational Indicators for Last 9 Years: AISHE Data Analysis". Journal of Humanities and Social Sciences Studies 2, n.º 5 (29 de septiembre de 2020): 77–88. http://dx.doi.org/10.32996/jhsss.2020.2.5.10.

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The higher education system in India is massive and structurally diverse with 4.3 million students in 1043 university and more than 43858 college level institutions. The educational planners, researchers and administrators may frequently need to evaluate various indicators of education using the data. The objective of the study is to compare the states in the light of few variables from AISHE database. The variables considered are number of universities-colleges/institutions, number of students enrolled (STD)- different levels and category, average number of enrolment per college(AEC), college population index (number of college per 1 lakh population)(CPI), gross enrolment ratio (GER), gender parity index (GPI), Human Development Index, etc. For this analysis only 14 states have been considered – Andhra Pradesh, Bihar, Gujarat, Haryana, Himachal Pradesh, Jharkhand, Madhya Pradesh, Maharastra, Karnataka, Kerala, Odisha, Rajasthan, Tamil Nadu and West Bengal. The states have been compared in the light of each variables over last 9 years from 2011-12 to 2019-2020.
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24

Pradeep, Athira, Syed H. Mazhar y Jahanara Jahanara. "Constraints faced by the Respondents in Cultivation of Betel Vine in Malappuram District of Kerala". International Journal of Advances in Agricultural Science and Technology 8, n.º 8 (30 de agosto de 2021): 52–59. http://dx.doi.org/10.47856/ijaast.2021.v08i8.005.

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Betel vine (Piper betel L. ) in India is grown as an important cash crop across the states, of, Kerala, and Tamil Nadu, Assam, Bihar, Madhya Pradesh, Maharashtra, Odisha, Tripura ,Andhra Pradesh, Karnataka, Uttar Pradesh and West Bengal. A study was undertaken in Malappuram district of Kerala for analysis of constraints faced by the farmers in betel vine cultivation covering Tanur block taking six villages selected purposively where the crop is grown as a major crop. A total 120 betel vine growers were selected randomly from six villages. It is observed that nearly half of the respondents felt the constraints were severe (45%) in betel vine cultivation, followed by not severe (31.66%) and very severe (23.33%). Most of the respondents experienced labour shortage or high labour cost as the most problematic constraint, the study further indicated that the second most important constraint found was price fluctuation followed by water scarcity, transportation and insects and diseases.
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25

Mukherjee, Sovik. "Open and Distance Education in India". International Journal of Innovation in the Digital Economy 9, n.º 2 (abril de 2018): 1–13. http://dx.doi.org/10.4018/ijide.2018040101.

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The goal of this article is to look into the effectiveness of ODL on the level of economic development across fifteen major states in India, viz., Andhra Pradesh, Assam, Bihar, Gujarat, Haryana, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Odisha, Punjab, Rajasthan, Tamil Nadu, Uttar Pradesh and West Bengal by constructing an ODL Effectiveness Index (ODLEI). The variables considered here are — 1) number of ODL institutes in the state concerned, 2) number of students enrolled in such institutes, 3) logarithmic value of per-capita GSDP and 4) state-wise literacy rates. The index construction method employs Principal Component Analysis (PCA) given the high-degree of multicollinearity among the variables. Comparison of the value of ODLEI in 2015 with the value of ODLEI in 2010 is also something that this article talks about. Also, using a simple regression model, this article attempts to underline the nexus between growth, measured by means of change in the GDP growth with the level of enrolment in distance education in India.
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26

., Lalchhandama y Arunava Sengupta. "Livelihood Diversification in Eastern Rural India: Problem and Prospects". International Journal of Research and Review 10, n.º 12 (2 de diciembre de 2023): 79–85. http://dx.doi.org/10.52403/ijrr.20231210.

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In the country like India where the occupation has mainly been the dominancy of agriculture, livelihood diversification has become remarkable means and opportunities for transforming the living condition of the rural people through thriving the available resources for a long-term consequence on them. The rural areas of eastern India, which have been mostly occupied by the tribal population i.e., Bihar, Jharkhand and Odisha have been chosen to conduct this research regarding the problem and prospect of livelihood diversification on the basis of their comparison. The result has enunciated and organized that various antecedents of the problems can be broadly group in to social, physical, financial, natural and human factors. Thus, in these rural areas, livelihood diversification through on-farm sector become more preferable and suitable rather than off-farm due to their traditional occupational practiced and mindset as well as many unconformities that have been acted as a hindrance factor. Keywords: Livelihood diversification, Tribal Community, Rural development, Eastern rural India.
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27

Singh, Sanjay y Priyamvada Singh. "Genetic Diversity and Phylogenetic Relationships among Jatropha curcas L. Genotypes from Eastern India". Biotechnology Journal International 27, n.º 6 (20 de noviembre de 2023): 52–63. http://dx.doi.org/10.9734/bji/2023/v27i6706.

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Genetic diversity and relationships among 31 genotypes collected from wide geographical range in eastern India was studied employing Random Amplified Polymorphic DNA (RAPD) markers. 19 markers (identified out of 25) produced 139 band in total. Off these 139 bands, 131 bands were polymorphic exhibiting a high polymorphism of 94.24%. Similarity indices estimated on the basis of RAPD primers ranged widely from 0.44 to 0.83 which suggests that these accessions represent genetically diverse population possibly due to predominance of cross pollination and seed source variability. Genotyping data obtained for RAPD primer across collected accessions were used to generate the UPGMA - based phylogenetic tree which shows two major clusters. The cluster I consisted of 16 genotypes from two states Jharkhand and Odisha (Chotanagpur and Eastern plateau region) while 15 accessions from West Bengal and Bihar (Indo Gangetic plains region) were grouped together in the Cluster II. This clear alignment of accessions into two different clusters as per geographical regions was probably due to different growing conditions in two clusters.
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28

Kale, Sunila S. y Nimah Mazaheri. "Natural Resources, Development Strategies, and Lower Caste Empowerment in India’s Mineral Belt: Bihar and Odisha During the 1990s". Studies in Comparative International Development 49, n.º 3 (22 de julio de 2014): 343–69. http://dx.doi.org/10.1007/s12116-014-9162-2.

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29

Halder, Somenath y Sourav Paul. "Modeling multidimensional poverty and vulnerability of snake charmers: a cross-state comparative analysis of Bihar and Odisha, India". Modeling Earth Systems and Environment 6, n.º 4 (30 de junio de 2020): 2623–43. http://dx.doi.org/10.1007/s40808-020-00854-2.

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30

Bhuimali, Anil y Mukul Saha. "A Comparative Analysis of the GSDP of the Four Eastern States of India". Asian Journal of Managerial Science 7, n.º 1 (5 de mayo de 2018): 7–19. http://dx.doi.org/10.51983/ajms-2018.7.1.1306.

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In this paper entitled “A Comparative Analysis of the GSDP of the Four Eastern States of India” we will compare the GSDP of the four eastern states of West Bengal, Bihar, Odisha and Jharkhand, their status in relation to some economically more developed states like Maharashtra, Gujarat and Tamil Nadu and also all India. The paper focuses on the development perspective of these states essentially with reference to the Gross State Domestic Product (GSDP). The Gross State Domestic Product of a state comprises of the primary sector, secondary sector and the tertiary sector. Agriculture, forestry, mining and fisheries are the primary sector. But in our study we have considered only agriculture and excluded the allied activities. Industrial and manufacturing comprise of the secondary sector. In the tertiary sector we find services like IT, banking and all other services which are not included in the primary and secondary sectors. In this paper we discuss the Gross State Domestic Product of the four eastern states which is the main pillar of a state’s economy.
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31

Shervani, Zameer, Deepali Bhardwaj, Roma Nikhat, Aiman Ibbrahim, Intazam Khan, Umair Yaqub Qazi, Ankira Agarwal, Adil Ahmed Khan, Sadia Hasan y Abdullah Sherwani. "4th National Sero Survey of India: Vaccine Generated Antibodies Enhancement". European Journal of Medical and Health Sciences 4, n.º 1 (19 de enero de 2022): 27–32. http://dx.doi.org/10.24018/ejmed.2022.4.1.1132.

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The results of the fourth COVID-19 national serosurvey (June-July 2021) of India have been analysed. Much needed data of vaccine generated antibodies have been reported world first as recorded in Indian population on the ground in real. More than two-thirds of (67.6%) Indian population developed antibodies against the infection. This includes natural immunity build up due to infection and vaccine generated antibodies. Eleven states: Madhya Pradesh, Rajasthan, Bihar, Gujrat, Chhattisgarh, Uttarakhand, Uttar Pradesh, Andhra Pradesh, Karnataka, Tamil Nadu, and Odisha had sero positivity of >67.6%which was the national average. Ten other states registered < 67.6% seroprevalence were: Punjab, Telangana, Jammu and Kashmir, Himachal Pradesh, Jharkhand, West Bengal, Haryana, Maharashtra, Assam, and Kerala. Single dose vaccination of 24% population added 19% seroprevalence in the population whereas 13% full vaccination increased 28% individuals registered antibodies. The highest (90%) seroprevalence was registered among the individuals who have taken both vaccine doses followed by HCWs (85%). Seroprevalence in 85-90% population might be the threshold for herd immunity which delayed or possibly stopped the third COVID-19 wave in India.
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32

Meena, Akshay, Ajay Kumar Meena y Anita Meena. "Patterns, Determinants and Challenges of Horticulture Diversification in India". International Research Journal of Business Studies 16, n.º 1 (30 de julio de 2023): 99–110. http://dx.doi.org/10.21632/irjbs.16.1.99-110.

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This study attempts to analyze the trends and patterns of horticulture diversification in India, the differences between states in diversification toward high value crops, and identify the factors influencing horticulture diversification. Herfindahl–Hirschman index (HHI) and Simpson Index of Diversification (SID) are employed to evaluate the extent of diversification towards horticulture crops and regression analysis is performed to assess the factors affecting horticulture diversification in India. The results reveal that total horticulture crops have shown moderate diversification. Among horticulture crops, Fruits, plantation crops and spices have exhibited high diversification, whereas high and moderate diversification have been recorded for vegetables during the period under study. The states Assam, Andhra Pradesh, Arunachal Pradesh, Bihar, Gujrat, Kerala, Karnataka, Chhattisgarh, Meghalaya, Madhya Pradesh, Mizoram, Maharashtra, Manipur, Nagaland, Rajasthan, Odisha, Sikkim, Tripura, Telangana, Tamil Nadu, Uttar Pradesh have shown high diversification whereas Jammu & Kashmir, Himachal Pradesh, Haryana, Punjab, Jharkhand, West Bengal, Uttarakhand have displayed moderate diversification in the year 2020-21. Per capita income, annual rainfall, and lagged SID for total horticulture crops all have positive effects on horticulture diversification, whereas fertilizer consumption has a negative effect.
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33

Rao, Venkata Ramana, Adilakshmi D, Satyanarayana PV, Girija Rani M, Chamundeswari N, Ravi Kumar BNVSR, Suryanarayana Y et al. "MTU 1223 (Varsha), a high yielding, non-lodging rice variety released for Rainfed shallow lowland ecology of Odisha and Bihar". International Journal of Chemical Studies 8, n.º 6 (1 de noviembre de 2020): 1625–30. http://dx.doi.org/10.22271/chemi.2020.v8.i6w.10998.

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34

Dogra, V., R. Khanna, A. Jain, A. M. V. Kumar, H. D. Shewade y S. S. Majumdar. "Neonatal mortality in India's rural poor: Findings of a household survey and verbal autopsy study in Rajasthan, Bihar and Odisha". Journal of Tropical Pediatrics 61, n.º 3 (29 de marzo de 2015): 210–14. http://dx.doi.org/10.1093/tropej/fmv013.

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35

Rah, Jee H., Robin Houston, Biswajit D. Mohapatra, Shri Sanjay Kumar, Farhat Saiyed, Sourav Bhattacharjee y Victor M. Aguayo. "A Review of the Vitamin A Supplementation Program in India: Reasons for Success in the States of Bihar and Odisha". Food and Nutrition Bulletin 35, n.º 2 (junio de 2014): 203–10. http://dx.doi.org/10.1177/156482651403500207.

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36

Ryzhakova, Svetlana. "Welcomed and Unwanted: Uncertainty and Possession in a Manasā Cult (North Bengal and West Assam, India)". Journal of Ethnology and Folkloristics 14, n.º 1 (1 de junio de 2020): 25–48. http://dx.doi.org/10.2478/jef-2020-0003.

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AbstractManasā is a very important goddess of the eastern part of India, particularly for the lower castes of Bengal, West Assam, some districts of Odisha, Jharkhand and Bihar. She is the main goddess for the majority of Rajbansis of North Bengal. The fluid border between deities, witches and human beings is an essential part of both her myth and cult. Being a Tāntric deity, Manasā has an extremely ambivalent character: according to the narratives and ritualistic practice she is at the same time both welcomed and unwanted. Her worship involves negotiation with dangerous divine power, which generates insecurity and uncertainty, but at the same time rewards adepts with wonderful abilities. This paper is based on ethnographic fieldwork conducted by the author in rural places in the Jalpaiguri, Koch-Behar, Goalpara and Darrang districts of West Bengal and Assam, India, among Rajbansis, Bodo Kachari and Assamees. The details of Manasā worship, Behula dance and storytelling by Bengali Monośa gidal, and in a form of Assamese suknāni ojha-palli (with deodhani dance and trance) will reveal a peculiar local knowledge system, directly aimed at overcoming and transforming mundane life crises.
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37

Meher, Rajkishor y Rajendra Prasad Patro. "Interstate Level Comparison of People’s Health Status and the State of Public Health Care Services in India". Journal of Health Management 16, n.º 4 (26 de noviembre de 2014): 489–507. http://dx.doi.org/10.1177/0972063414548558.

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Health is an essential component of economic development and there is a strong correlation between health of human population and societal well-being. We cannot just think of the development of the human capital without the development of health and education of the people. However, it is found that although India has made large gains on the health front of its population, there exist wide variations between and within states. While states such as Kerala, Punjab and Tamil Nadu have a very developed health sector and the health indicators of these states are comparable to those of developed middle-income countries, states such as Bihar, Jharkhand, Madhya Pradesh, Chhattisgarh, Uttar Pradesh, Odisha, etc., are almost at the level of Sub-Saharan Africa. By using a few of the key health indicators the present article makes a critical analysis of the health status of people in the 17 major states of India, the ongoing health development programmes and the present state of public health care services in different parts of the country. The article further delves into an arena of specific policy intervention measures that are required to be undertaken in order to increase the health status of people.
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38

Balwan, Wahied Khawar, Neelam Saba y Ajaz Hussain Patigaroo. "First Epidemiological Report of Lumpy Skin Disease from Jammu & Kashmir, India: A Notifiable Disease". EAS Journal of Veterinary Medical Science 5, n.º 01 (18 de febrero de 2023): 7–11. http://dx.doi.org/10.36349/easjvms.2023.v05i01.002.

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Lumpy Skin Disease (LSD) is a viral disease caused by lumpy skin disease virus (LSDV), a member of Capripoxvirus genus of Poxviridae family. It is a transboundary disease of the economic importance affecting cows, water buffaloes and deer. The disease is transmitted by arthropod vectors and causes high morbidity and low mortality. LSD was known to be once endemic in Saharan regions of Africa. However, over the past decade, it spread to the Middle East and Turkey. From 2015 onward, it has impacted the Balkan (southeast Europe) countries, Caucus (Eastern Europe) and Russia. LSD entered India, Bangladesh and China in July 2019. Since then, outbreaks of the disease have been reported from many Indian states and UTs namely Assam, Andhra Pradesh, Bihar, Chhattisgarh, Goa, Gujarat, Haryana, Jharkhand, Karnataka, Kerala, Maharashtra, Madhya Pradesh, Manipur, Odisha, Tamil Nadu, Telangana, Uttar Pradesh, West Bengal and Jammu & Kashmir. Characteristic lumps on skin and high fever are considered as major signs while reduced milk production, infertility, early embryonic death and anorexia are some of the salient clinical manifestations of the disease. Additionally, nodules on mucosa of oropharynx, udder, genitalia and rectum are usually observed on examination.
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39

P., Arumugam, Kadhirveni V., Lakshmi Priya R. y Manimannan G. "Prediction, Cross Validation and Classification in the Presence COVID-19 of Indian States and Union Territories using Machine Learning Algorithms". International Journal of Recent Technology and Engineering 10, n.º 1 (30 de mayo de 2021): 16–20. http://dx.doi.org/10.35940/ijrte.a5659.0510121.

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The present study predicts, cross validate and classify the data of COVID-19 based on four machine learning algorithm with four major parameters namely confirmed cases, recoveries, deaths and active cases. The secondary sources of database were collected from Ministry of Health and Family Welfare Department (MHFWD), from Indian State and Union Territories up to March, 2021. Based on these background, the database classified and predicted various machine learning Algorithm, like SVM, kNN, Random Forest and Logistic Regression. Initially, the k-mean clustering analysis is used to perform and identified five meaningful clusters and is labeled as Very Low, Low, Moderate, High and Very High of four major parameters based on their average values. In addition the five clusters are cross validated using four machine learning algorithm and affected states were visualized with help of prediction and probabilities. The different machine learning models achieved cross validation accuracy of 88%, 97%, 91% and 91%. . Delhi, Uttar Pradesh and West Bengal were Moderately Affected States, Assam, Bihar, Chhattisgarh, Haryana, Gujarat, Madhya Pradesh, Odisha, Punjab, Rajasthan and Telangana are Low Affected States, wherein Tamil Nadu, Kerala, Andhra Pradesh and Karnataka are highly affected States.and Maharashtra the Very Highly Affected State. Rest of the States and Union Territories has Very Low affected Covid-19 Cases is clearly identified.
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40

Kanakasabapathi Pradheep, Soyimchiten, Ganjalagatta Dasaiah Harish, Muhammed Abdul Nizar, Kailash Chandra Bhatt, Anjula Pandey y Sudhir Pal Ahlawat. "Updated distribution of seven Trichosanthes L. (Cucurbitales: Cucurbitaceae) taxa in India, along with taxonomic notes". Journal of Threatened Taxa 13, n.º 14 (26 de diciembre de 2021): 20143–52. http://dx.doi.org/10.11609/jott.6313.13.14.20143-20152.

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In India, lack of revisionary work in the genus Trichosanthes L. (Cucurbitales: Cucurbitaceae) over the past 38 years had resulted in several taxonomic and nomenclatural issues, which had implications in determining actual distribution status of taxa. Based on field observations, collected specimens, data from various specimens in herbaria and critical study of all the resources available, here we confirm the extended distribution of T. anaimalaiensis Bedd. in the states of Manipur and Nagaland; T. cordata Roxb. in Uttar Pradesh and Bihar; T. cucumerina L. subsp. sublobata (Kundu) K. Pradheep, D.R. Pani & K.C. Bhatt in Gujarat, Madhya Pradesh and Odisha; T. dicaelosperma C.B. Clarke in Nagaland; T. kerrii Craib in Arunachal Pradesh and Manipur; T. majuscula (C.B. Clarke) Kundu in Arunachal Pradesh, Sikkim and Assam; and T. truncata C.B. Clarke in Nagaland. Two taxa, namely, Trichosanthes dicaelosperma and T. majuscula, earlier subsumed with T. ovigera Blume or T. cucumeroides (Ser.) Maxim., and T. dunniana H. Lév., respectively, have been resurrected at the rank of species. Lectotypes were designated for the names of above two species. For the first time, female plants of T. majuscula have been described. This communication provides an updated distribution status of seven taxa of Trichosanthes in India along with field and taxonomic notes, and additional taxonomic characters.
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41

Yadav, Sucheta. "The Problem of Regional Disparities: An Overview in Indian Context". Journal of Humanities and Education Development 5, n.º 2 (2023): 14–16. http://dx.doi.org/10.22161/jhed.5.2.3.

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The contemporary world is growing rapidly in the field of urbanization, liberalization, globalisation and modernization, but on the other hand, all this development has emerged a worldwide phenomenon regarding regional disparity. Regional disparity is a common fact in both developing and developed economies. Across India's different regions and states, development and growth has not been distributed fairly and has given rise to the threat of regional inequality. In India, each of 28 states has its own disparities regarding socio-economic indicators with other states; among them few states e.g. Punjab, Gujarat, Maharashtra and Tamil Nadu, etc. have already attained rapid economic development Whereas, other regions or states e.g. Bihar, Odisha and Jharkhand, etc. have attained less development. India is a diverse nation with a massive population disparity in social and economic development, employment, and infrastructure facilities across the regions and within regions that have been a major challenge to policymakers and economists. Main objective of the study is to understand the concept of regional imbalances. The paper highlights the causes and consequences of disparities in inter-regions, inter-state and intra-regions in India. The paper describes also the measurements implemented by Indian policy makers in India to reduce the problem. The paper reveals suggestions to reduce the disparities in Indian context.
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42

Yadav, Arvind Kumar, Kirtti Ranjan Paltasingh y Pabitra Kumar Jena. "Incidence of Communicable and Non-communicable Diseases in India: Trends, Distributional Pattern and Determinants". Indian Economic Journal 68, n.º 4 (diciembre de 2020): 593–609. http://dx.doi.org/10.1177/0019466221998841.

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The recent trends and distributional patterns of communicable diseases (CD) and non-communicable diseases (NCD) in India are analysed in this study. Utilising the unit-level health-specific data from three rounds (1995, 2004 and 2014) of the National Sample Survey Office, it is found that the incidence of CDs is declining while that of NCDs increasing over time. The state-wise pattern shows that both the least-developed states and relatively developed states have a high incidence of diseases. But the incidence of CDs is relatively high in backward states like Rajasthan, Odisha, Assam, Bihar and UP, whereas the prevalence of NCDs is high in advanced states like Kerala, Maharashtra, Tamil Nadu and others. The multinomial logistic regression results also confirm that income, sex and availability of safe drinking water are key determinants of the presence of diseases. Thus, the policy implication of the study calls for the availability and accessibility of adequate medical facilities at affordable costs, development of a strong network of public health facilities in rural India primarily. Bringing the rural as well as urban poor into the fold of health insurance schemes would ensure a huge benefit to the masses who struggle to get the basic treatment. The development of an effective ‘health information system’ can be a better policy instrument in arresting the rising incidence of NCDs. JEL Classification codes: C12, C51, I15, I18
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43

GOYAL, SUMAN, DR SIKKA y AJIT TYAGI. "Morphology of long lasting mesoscale convective system under weak synoptic forcing over the Gangetic plain in May 2010 during the STORM-2010 campaign". MAUSAM 65, n.º 3 (1 de julio de 2014): 333–52. http://dx.doi.org/10.54302/mausam.v65i3.1023.

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A case study of long-lasting cloud cluster with embedded severe thunderstorms is conducted using the satellite data to demonstrate the efficacy of tracking such systems for help in nowcasting severe weather. The system had some unique features as it originated over Uttarakhand region (6 May 2010, 1300 UTC), travelled all across the Indo-Gangetic plains and reaching up-to Odisha/Bangladesh 24 to 36 hrs after its origin. The signature of the satellite information is analyzed in terms of cloud top temperature (CTT) from Kalpana-1 and associated rainfall from Tropical Rainfall Measuring Mission (TRMM) data. Intensity of the system is determined with the analysis of meteorological observations, automatic weather station (AWS), airport weather reports, autographic data and the meteorological tower data at Ranchi and Kharagpur. The use of satellite data provided one of the primary information for determining the intensity of the system and its areal dimensions. The paper discusses the evaluation of the convective system through its life history in some detail. In its long life, the convective system becomes intense in two phases. The first phase was over western Uttar Pradesh (UP) and the second phase was over Bihar, Jharkhand West Bengal belt. Radar information is used for the second phase of intensification as the system came under surveillance of Kolkata radar.
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44

Babu, Cimil. "Maternal Deaths in India: A Review of Trends and Programmes". International Journal of Preventive, Curative & Community Medicine 07, n.º 03 (29 de septiembre de 2021): 17–21. http://dx.doi.org/10.24321/2454.325x.202113.

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High-quality services during childbirth in a health care facility reduce maternal morbidity and mortality. High maternal mortality in India is a critical concern. In an attempt to decrease the maternal mortality rate (MMR), the Government of India has launched many programmes. This article discusses the trends in maternal mortality in India with the inter-state disparities. As per Sample Registration System (SRS), MMR in India was estimated to be 556 in 1990, but globally it was only 385 at that time. India has achieved about a 77% reduction in maternal mortality compared to the global average of 43% between 2005 and 2017, but a huge inter-state disparity in maternal death still exists. Approximately 65%-75% of the estimated maternal deaths in India occur in a few states, including the eight Empowered Action Group (EAG) states (Bihar, Jharkhand, Madhya Pradesh, Chhattisgarh, Odisha, Rajasthan, Uttar Pradesh, and Uttarakhand), and Assam. For instance, the MMR reported for Assam (state which has the highest MMR) was 215 in 2017-18 which is five times higher than that of Kerala (43), which has the least MMR of all states. Most of the maternal deaths are due to direct causes and are largely preventable and treatable. There was a consistent reduction in MMR as a result of a number of interventions and programmes including Janani Suraksha Yojana (JSY) which helped in surging institutional deliveries.
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45

Agarwal, Medhavi, H. S. Joshi, Ruchi Tanwar, Arun Singh, Rashmi Katyal y Deepak Upadhyay. "An evaluation: IYCF practices in rural area of Bareilly district, Uttar Pradesh". International Journal Of Community Medicine And Public Health 5, n.º 1 (23 de diciembre de 2017): 308. http://dx.doi.org/10.18203/2394-6040.ijcmph20175803.

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Background: In recent Annual Health Survey conducted in India from 2010 to 2013 covering all the 284 districts (as per 2011 census) of 8 Empowered Action Group (EAG) States (Bihar, Uttar Pradesh, Uttarakhand, Jharkhand, Madhya Pradesh, Chhattisgarh, Odisha and Rajasthan) and Assam, only 21% of breastfeeding and non-breastfeeding children are fed in accordance with the infant and young child feeding (IYCF) recommendations thus this study was taken up to evaluate the infant and young child feeding (IYCF) recommendations practices in Bareilly district of U.P. Objective is to evaluate the infant and young child feeding (IYCF) practices in rural area of Bareilly district, U.P.Methods: Community based Cross sectional study was conducted using 30 by 7 cluster sampling technique in rural area of Bareilly district, Uttar Pradesh from August 2017 to September 2017 in all children of age 1 year residing in the study area. Sample size was 210.The results were compiled and analyzed in Epi info-7.2.Results: In this study­ 69.5% children were put to breast feeding with in 1 hour of birth. Prelacteal feed was given to 20.5% of studied population.Conclusions: There have been considered developments in the status of IYCF practices in Bareilly as compared to National Family Health Survey-3 at national level yet the scope for further progress is substantial.
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46

Tripathy, Pravanjan Kumar y Manas Ranjan Mishra. "Pharmacognosy, Phytochemical and Pharmacological Potential of Sacostemma acidum Voigt". International Journal of Research in Pharmaceutical Sciences 14, n.º 4 (27 de noviembre de 2023): 195–99. http://dx.doi.org/10.26452/ijrps.v14i4.4548.

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Sarcostemma acidum Voigt, commonly known as Somlata, belongs to the Apocynaceae family and is a leafless plant with significant traditional medicinal use. Found mainly in Bihar, West Bengal, Odisha, and South India, it thrives in dry rocky areas. The shrub, characterized by numerous branches and an absence of leaves, features green, cylindrical stems ranging from 2 to 4 meters in length and 0.5 cm to 1 cm in diameter. The plant's leaves, though present in opposite positions, are reduced to scales, rendering it leafless. The flowers are actinomorphic, displaying a light yellow or white hue. Microscopic analysis of the stem of Sarcostemma acidum reveals three primary components: the outer epidermis layer, cortex, and vascular bundles. The outermost epidermis consists of a single layer of cells, and the cortex comprises collenchyma and parenchymal cells. The aqueous extract of S. acidum contains a diverse array of compounds, including carbohydrates, glycosides, alkaloids, tannins, flavonoids, proteins, free amino acids, steroids, triterpenoids, fixed oils, fats, mucilage, gums, and waxes. Different parts of S. acidum are utilized for various purposes, such as a natural restorative for health, ear drops in otitis, and application on wounds and cuts. The stem extract exhibits antipsychotic effects and inhibits spermatogenesis. Recent studies also highlight its analgesic, antipyretic, and antidiabetic properties. This plant holds promise for further research in isolating active constituents with therapeutic effects.
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47

Onori, Federica, Preeti Dhillon, Konsam Dinachandra, Abdul Jaleel, Abhishek Saraswat, Reshmi R.S., Sayeed Unisa y Vani Sethi. "An Adaptation of the Food Insecurity Experience Scale (FIES) for Measuring Food Insecurity Among Women in Socially- Backward Communities". Asian Journal of Agriculture and Development 18, n.º 1 (1 de junio de 2021): 66–82. http://dx.doi.org/10.37801/ajad2021.18.1.5.

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Recent reviews on the use of experience-based food insecurity scales in the Indian context suggested the addition of "how often" related items to food insecurity modules to avoid overestimation of food insecurity, especially in underprivileged communities. Following this recommendation, we adapted the 8-item Food Insecurity Experience Scale (FIES), an official tool for measuring access to food within the Sustainable Development Goals (target 2.1), and assessed its validity and reliability in socially-backward communities in the Indian context. The polytomous Rasch model was successfully applied and soundly integrated within the probabilistic methodology already in use for the FIES, allowing the computation of comparable prevalence of food insecurity at different levels of severity and related measures of uncertainty. Data from the SWABHIMAAN programme survey, which collected information on food insecurity from mothers of children under two years of age in three Indian states (Bihar, Odisha, and Chhattisgarh), was used for analysis. Results suggest that the proposed adapted version of the FIES can be considered as a proper tool for measuring food insecurity in underprivileged communities, since it satisfies requirements of internal and external validity and reliability. Individual determinants and protective factors of food insecurity were also investigated within this methodological framework and results suggest that education, economic wealth, and homestead kitchen garden can act as a buffer against food insecurity, while the number of pregnancies seems to exacerbate a situation of food insecurity.
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48

MAJI, B., N. C. SAHU, I. DAS, S. SAHA, S. SARKAR y SUPRAKASH SAHA. "Soil fertility management for productivity enhancement of jute under some constrained acidic soils of West Bengal". Indian Journal of Agricultural Sciences 82, n.º 4 (10 de abril de 2012): 345–50. http://dx.doi.org/10.56093/ijas.v82i4.16647.

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Jute crop plays a pivotal role in the farming economy of number of eastern Indian states like West Bengal (Paschimbanga), Asom, Bihar and Odisha. In spite of available sound production technology, the main concern in jute fibre production system in India is the non-uniform productivity over 87 jute-growing districts located in varying agro- climatic regions of the country including 17 jute-growing districts of West Bengal having relatively higher productivity in South Bengal than in North Bengal. The major reasons of technical nature for low productivity in North Bengal are initially identified as soil acidity. The participatory farmers’ field experiments were conducted at Balurghat (pH 5.06, EC 0.024 dS/m, OC 0.59%, available N, P, K= 246, 29, 90 kg/ha) and Kumarganj (pH 4.45, EC 0.002 dSm-1, OC 0.51%, available N, P, K= 314, 15, 98 kg/ha) blocks of Dakshin Dinajpur district of North Bengal with an aim to enhance the productivity of jute through proper soil fertility management. The results of the field experiment revealed that application of lime (based on LR value) coupled with soil test-based balanced fertilization enhanced the productivity of olitorius jute [over farmers’ practice Balurghat [(2.42 tonnes/ha) and Kumarganj (1.52 tonnes/ha)] by 29.1% and 45.7% in the constrained acidic block of Balurghat and Kumarganj (of Dakshin Dinajpur district) respectively. The same treatments also improves the B:C ratio and reduced insect pests and disease incidence.
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49

Shaw, Kajal. "Mobile Phone Usage Pattern of Women of Santal Tribe in West Bengal, India". Journal of Communication and Management 3, n.º 01 (22 de marzo de 2024): 11–17. http://dx.doi.org/10.58966/jcm2024312.

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The phenomenal rise of mobile phones in the country can be ascribed to the construction of a wide network and diverse mobile phone services available to users from all walks of life. The greatest success of the mobile phone revolution can be explained by its increasing density and remotest reach where no roads exist or people struggle for basic healthcare facilities. It has become a ubiquitous part of life. This commonplace instrument has become an important communication tool in the modern world. With 52,963 residents, West Bengal makes up 5.8% of the state’s total population and 5.01% of all tribal people in the country. Santal, which shares common states of habitation with West Bengal, Jharkhand, Odisha, Bihar, and Tripura, is the third most populous tribe after Bhil and Gond. The usage patterns of women of Santal tribe in West Bengal, India, served as the basis for this study. The Singur block in West Bengal’s Hooghlydistrict served as the study’s location. Ten Santal tribal women in the age range of 18 to 38 were chosen in total. We conducted in-depth interviews with every participant. It was discovered that women of all ages owned mobile phones, either from self-affordance purchases or inheritance from male family members. They use their phones for various reasons, such as making calls and chatting on social media platforms like WhatsApp, but mostly for their own or their children’s educational requirements
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50

Singh Bahi, Dhilanveer Teja y Jouni Paavola. "Liquefied Petroleum Gas Access and Consumption Expenditure: Measuring Energy Poverty through Wellbeing and Gender Equality in India". Sustainability 16, n.º 8 (19 de abril de 2024): 3413. http://dx.doi.org/10.3390/su16083413.

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Despite fast electrification in India, many communities still suffer from the direct and indirect effects of energy poverty. We investigate whether access to liquified petroleum gas (LPG) and consumption expenditure can be used as measures of energy poverty in India, with a particular focus on gender equality. A district-level, quantitative analysis of household survey data was performed for the energy-poor states of Bihar, Jharkhand, Madhya Pradesh, Odisha, Uttar Pradesh, and West Bengal. Wellbeing and gender equality indices were constructed from contextually relevant indicators, whilst LPG access was considered in terms of physical access, affordability, and awareness. Levels of consumption expenditure were considered based on the updated urban poverty line for India. We found that LPG access and consumption expenditure do not have a significant relationship with wellbeing or gender equality. The result indicates that the traditional economic approach of using consumption expenditure cannot capture the multidimensionality of energy poverty. This has significant implications as it challenges the status quo of energy poverty measurement. The research also adds value to existing arguments that electricity access cannot be used as a sole indicator of energy poverty, by extending the argument to access to a modern cooking fuel. LPG access was, however, strongly associated with the education of women on the health effects of smoke. Consumption expenditure is also strongly associated with female property ownership, which calls for future research on this novel relationship.
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