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Article ; Online: Determinants of choice of health insurance: Empirical evidence from responses of Indian households.

Yadav, Milind Kumar / Mohanty, Pratap C

The International journal of health planning and management

2021 Volume 36, Issue 5, Page(s) 1809–1829

Abstract: Health insurance has been accepted as one of the channels that can serve the purpose of universalisation of health care and especially useful in the period of health crisis. This is the emerging and challenging sector in India. The present study explores ...

Abstract	Health insurance has been accepted as one of the channels that can serve the purpose of universalisation of health care and especially useful in the period of health crisis. This is the emerging and challenging sector in India. The present study explores the health insurance penetration in India using the latest two rounds of nationally representative datasets of the National Family Health Survey (2005-06 and 2015-16). This study identifies the covariates of households' participation and their choice for different health insurance schemes, using the average marginal effects of binary and multinomial logit regression models with conditional categories after checking their Kernel density function. The results suggest that health insurance in India is more skewed towards the households belonging to higher wealth quintile and in the front runner states. Age, occupation and education level are also positively associated with health insurance enrolment. The variable 'weighted information index', which is estimated through Principal Component Analysis, is a significant determinant of private health insurance and community-based health insurance, and this also caters to the richer households. The study also identifies several shortcomings of not accessing health insurance, their choices and suggests reforms with the goal of universalization of healthcare. The robustness check has been performed using 20 percent, 50 percent and 80 percent sub-sampling of the models.
MeSH term(s)	Community-Based Health Insurance ; Family Characteristics ; India ; Insurance, Health ; Socioeconomic Factors
Language	English
Publishing date	2021-06-24
Publishing country	England
Document type	Journal Article
ZDB-ID	632786-2
ISSN	1099-1751 ; 0749-6753
ISSN (online)	1099-1751
ISSN	0749-6753
DOI	10.1002/hpm.3267
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: A Rare Case of Transposition of Great Arteries Uncovered With Progressive Rheumatic Aortic Stenosis.

Yadav, Siddhant / Phadke, Milind / Mahajan, Ajay / Nathani, Pratap

JACC. Case reports

2021 Volume 3, Issue 10, Page(s) 1291–1293

Abstract: The authors describe a case of transposition of great arteries with a large atrial septal defect with fusion of tricuspid valve leaflets and severe aortic stenosis. The latter two were likely rheumatic in etiology. The patient's condition improved after ... ...

Abstract	The authors describe a case of transposition of great arteries with a large atrial septal defect with fusion of tricuspid valve leaflets and severe aortic stenosis. The latter two were likely rheumatic in etiology. The patient's condition improved after atrial switch and aortic valve replacement surgery. (
Language	English
Publishing date	2021-08-19
Publishing country	Netherlands
Document type	Journal Article
ISSN	2666-0849
ISSN (online)	2666-0849
DOI	10.1016/j.jaccas.2021.07.001
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Appraisal of individual hydrogen bond strengths and cooperativity in ammonia clusters via a molecular tailoring approach.

Ahirwar, Mini Bharati / Patkar, Deepak / Yadav, Itee / Deshmukh, Milind M

Physical chemistry chemical physics : PCCP

2021 Volume 23, Issue 32, Page(s) 17224–17231

Abstract: In this work, we propose and test a method, based on the molecular tailoring approach (MTA), for the evaluation of individual hydrogen bond (HB) energies in ammonia ( ... ...

Abstract	In this work, we propose and test a method, based on the molecular tailoring approach (MTA), for the evaluation of individual hydrogen bond (HB) energies in ammonia (NH
Language	English
Publishing date	2021-08-09
Publishing country	England
Document type	Journal Article
ZDB-ID	1476244-4
ISSN	1463-9084 ; 1463-9076
ISSN (online)	1463-9084
ISSN	1463-9076
DOI	10.1039/d1cp02839a
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Analysis on novel coronavirus (COVID-19) using machine learning methods.

Yadav, Milind / Perumal, Murukessan / Srinivas, M

Chaos, solitons, and fractals

2020 Volume 139, Page(s) 110050

Abstract: In this paper, we are working on a pandemic of novel coronavirus (COVID-19). COVID-19 is an infectious disease, it creates severe damage in the lungs. COVID-19 causes illness in humans and has killed many people in the entire world. However, this virus ... ...

Abstract	In this paper, we are working on a pandemic of novel coronavirus (COVID-19). COVID-19 is an infectious disease, it creates severe damage in the lungs. COVID-19 causes illness in humans and has killed many people in the entire world. However, this virus is reported as a pandemic by the World Health Organization (WHO) and all countries are trying to control and lockdown all places. The main objective of this work is to solve the five different tasks such as I) Predicting the spread of coronavirus across regions. II) Analyzing the growth rates and the types of mitigation across countries. III) Predicting how the epidemic will end. IV) Analyzing the transmission rate of the virus. V) Correlating the coronavirus and weather conditions. The advantage of doing these tasks to minimize the virus spread by various mitigation, how well the mitigations are working, how many cases have been prevented by this mitigations, an idea about the number of patients that will recover from the infection with old medication, understand how much time will it take to for this pandemic to end, we will be able to understand and analyze how fast or slow the virus is spreading among regions and the infected patient to reduce the spread based clear understanding of the correlation between the spread and weather conditions. In this paper, we propose a novel Support Vector Regression method to analysis five different tasks related to novel coronavirus. In this work, instead of simple regression line we use the supported vectors also to get better classification accuracy. Our approach is evaluated and compared with other well-known regression models on standard available datasets. The promising results demonstrate its superiority in both efficiency and accuracy.
Keywords	covid19
Language	English
Publishing date	2020-06-30
Publishing country	England
Document type	Journal Article
ZDB-ID	2003919-0
ISSN	1873-2887 ; 0960-0779
ISSN (online)	1873-2887
ISSN	0960-0779
DOI	10.1016/j.chaos.2020.110050
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Article: Buccally displaced flap versus sub-epithelial connective tissue graft for peri-implant soft tissue augmentation: a pilot double-blind randomized controlled trial.

Padhye, Ninad Milind / Mehta, Lopa Kishor / Yadav, Naveeta

International journal of implant dentistry

2020 Volume 6, Issue 1, Page(s) 48

Abstract: Background: This article describes a novel surgical technique, the buccally displaced flap, for keratinized mucosa (KM) augmentation during implant uncovering. Furthermore, it clinically compares this technique with sub-epithelial connective tissue ... ...

Abstract	Background: This article describes a novel surgical technique, the buccally displaced flap, for keratinized mucosa (KM) augmentation during implant uncovering. Furthermore, it clinically compares this technique with sub-epithelial connective tissue graft (SCTG) for peri-implant KM augmentation. Twelve weeks following implant placement, subjects were randomly divided for KM augmentation into group A (buccally displaced flap) and group B (SCTG). The width (WKM) and thickness (TKM) of the KM were assessed prior to the implant uncovering, 4 weeks and 1 year after implant loading. Post-operative pain assessment was performed using the Numeric Rating Scale. Results: The study comprised of 20 implants that were uncovered in 20 subjects. For group A, the mean WKM increased from 0.98 (± 0.23 mm) to 3.01 mm (± 0.18 mm), and the mean TKM increased from 1.45 (± 0.13 mm) to 2.21 mm (± 0.16 mm) at 1 year. For group B, the mean WKM increased from 0.93 (± 0.18 mm) to 3.28 mm (± 0.13 mm), and the mean TKM increased from 1.41 (± 0.15 mm) to 2.25 mm (± 0.11 mm) at 1 year. Post-operative pain was significantly higher for group B 4.15 (± 1.35) as compared to group A 2.6 (± 1.22) (p < 0.001). Conclusion: The buccally displaced flap increased the WKM and TKM during implant uncovering, with results comparable to SCTG. The main advantages of the technique were lack of sutures, maintenance of blood supply, reducing number of surgical sites, and it was relatively atraumatic with lesser post-operative pain. Trial registration: Clinical trials registry-India CTRI/2019/09/021059 . Date of registration-September 4, 2019, retrospectively registered.
Language	English
Publishing date	2020-09-01
Publishing country	Germany
Document type	Journal Article
ISSN	2198-4034
ISSN	2198-4034
DOI	10.1186/s40729-020-00244-4
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Buccally displaced flap versus sub-epithelial connective tissue graft for peri-implant soft tissue augmentation

Ninad Milind Padhye / Lopa Kishor Mehta / Naveeta Yadav

International Journal of Implant Dentistry, Vol 6, Iss 1, Pp 1-

a pilot double-blind randomized controlled trial

2020 Volume 7

Abstract: Abstract Background This article describes a novel surgical technique, the buccally displaced flap, for keratinized mucosa (KM) augmentation during implant uncovering. Furthermore, it clinically compares this technique with sub-epithelial connective ... ...

Abstract	Abstract Background This article describes a novel surgical technique, the buccally displaced flap, for keratinized mucosa (KM) augmentation during implant uncovering. Furthermore, it clinically compares this technique with sub-epithelial connective tissue graft (SCTG) for peri-implant KM augmentation. Twelve weeks following implant placement, subjects were randomly divided for KM augmentation into group A (buccally displaced flap) and group B (SCTG). The width (WKM) and thickness (TKM) of the KM were assessed prior to the implant uncovering, 4 weeks and 1 year after implant loading. Post-operative pain assessment was performed using the Numeric Rating Scale. Results The study comprised of 20 implants that were uncovered in 20 subjects. For group A, the mean WKM increased from 0.98 (± 0.23 mm) to 3.01 mm (± 0.18 mm), and the mean TKM increased from 1.45 (± 0.13 mm) to 2.21 mm (± 0.16 mm) at 1 year. For group B, the mean WKM increased from 0.93 (± 0.18 mm) to 3.28 mm (± 0.13 mm), and the mean TKM increased from 1.41 (± 0.15 mm) to 2.25 mm (± 0.11 mm) at 1 year. Post-operative pain was significantly higher for group B 4.15 (± 1.35) as compared to group A 2.6 (± 1.22) (p < 0.001). Conclusion The buccally displaced flap increased the WKM and TKM during implant uncovering, with results comparable to SCTG. The main advantages of the technique were lack of sutures, maintenance of blood supply, reducing number of surgical sites, and it was relatively atraumatic with lesser post-operative pain. Trial registration Clinical trials registry—India CTRI/2019/09/021059 . Date of registration—September 4, 2019, retrospectively registered.
Keywords	Connective tissue graft ; Displaced flap ; Peri-implant keratinized mucosa ; Soft tissue augmentation ; Surgical flaps ; Medicine ; R ; Dentistry ; RK1-715
Subject code	610
Language	English
Publishing date	2020-09-01T00:00:00Z
Publisher	SpringerOpen
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Morpho‐molecular identification, characterization and management of Pythium catenulatum, the causative agent of root rot disease in Phaseolus vulgaris (common bean)

Dubey, Manish Kumar / Aamir, Mohd / Zehra, Andleeb / Yadav, Mukesh / Kumari, Punam / Gajbhiye, Milind H. / Upadhyay, Ram Sanmukh

Journal of Phytopathology. 2023 Mar., v. 171, no. 2-3 p.92-109

2023

Abstract: In this study, we identified and characterize a plant pathogenic isolate, collected from naturally infested bean (Phaseolus vulgaris var. Anupama) seedlings presenting root rot symptoms from an agricultural land of the Prayagraj district, Uttar Pradesh, ... ...

Abstract	In this study, we identified and characterize a plant pathogenic isolate, collected from naturally infested bean (Phaseolus vulgaris var. Anupama) seedlings presenting root rot symptoms from an agricultural land of the Prayagraj district, Uttar Pradesh, India. Based on morphological features, growth characteristics and the ITS sequencing‐based molecular data, the isolate was assumed very closed to the species of the Pythium genera. However, ITS sequencing data and the BLAST results for gene annotation clustered the identified isolate more closely to the Pythium catenulatum (p‐value e‐value), and therefore, confirmed as P. catenulatum. The pathogenicity assay confirmed the role of the isolate as a root rot causing pathogen. Furthermore, the isolate was tested for its growth under in‐vitro conditions against several environmental parameters including temperature, pH, salt, drought and metals. The Biolog FF MicroPlate method assessed the carbon utilization profile and reported the ability of the isolate in utilizing both carbohydrates and amino acids as a primary energy source. Moreover, in‐vitro colony growth inhibition assay performed with different agrochemicals (fungicides and insecticides) and the dyes determined their efficacy in suppressing the growth and development of the isolated pathogen. The dual culture assay of the isolate along with several fungal and bacterial strains confirmed the antagonistic potential of some tested microbes in delimiting the growth of the pathogen. Overall, the study provides a new sustainable, effective and eco‐friendly solution for controlling the root rot pathogen.
Keywords	Phaseolus vulgaris ; Pythium ; agricultural land ; agrochemicals ; beans ; carbon ; drought ; fungi ; genes ; growth retardation ; pH ; pathogenicity ; pathogens ; plant pathology ; primary energy ; root rot ; temperature ; India
Language	English
Dates of publication	2023-03
Size	p. 92-109.
Publishing place	John Wiley & Sons, Ltd
Document type	Article ; Online
Note	JOURNAL ARTICLE
ZDB-ID	633487-8
ISSN	0931-1785
ISSN	0931-1785
DOI	10.1111/jph.13156
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Analysis on novel coronavirus (COVID-19) using machine learning methods

Yadav, Milind / Perumal, Murukessan / Srinivas, M

Chaos, Solitons & Fractals

2020 Volume 139, Page(s) 110050

Keywords	General Mathematics ; covid19
Language	English
Publisher	Elsevier BV
Publishing country	us
Document type	Article ; Online
ZDB-ID	2003919-0
ISSN	1873-2887 ; 0960-0779
ISSN (online)	1873-2887
ISSN	0960-0779
DOI	10.1016/j.chaos.2020.110050
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Neuroprotective Effect of Goat milk

Kaura, Sushila / Parle, Milind / Rohtash / Yadav, Bir Singh / Sethi, Neeraj

Small ruminant research. 2022 June 15,

2022

Abstract: Goat milk is a health promoting nutritional drink containing omega 3 fatty acids that supports neuronal repair, growth and memory. Fresh Goat Milk was administered to mice and various exteroceptive and interoceptive models were employed to study its ... ...

Abstract	Goat milk is a health promoting nutritional drink containing omega 3 fatty acids that supports neuronal repair, growth and memory. Fresh Goat Milk was administered to mice and various exteroceptive and interoceptive models were employed to study its nootropic effect. Biochemical studies were performed to confirm these effects. We continued studies on dementia patients that showed slight improvement in memory scores in duration of 70 days. Therefore, goat milk could be regarded as complementary medicine in the management of dementia. It could alone help in preventing development of dementia in elderly individuals as reflected by favorable results in animal studies. Fresh Goat Milk (FGM) -5ml/kg; 10ml/kg, p.o, were administered to both young (3 to 4 months old) and aged mice (15 months old) for 10 consecutive days. A decrease in transfer latency in elevated plus maze and increase in step down latency in passive avoidance paradigm was observed. FGM ameliorated scopolamine, ethanol and ageing induced memory deficits. It significantly increased glutathione levels but decreased malondialdehyde, acetylcholinesterase and serum total cholesterol activity, indicating memory improvement in mice. Effect of goat milk was further observed on 20 dementia patients for 70 days of which, 10 received Aricept along with goat milk (100ml/day) and other 10 received Aricept only. Patients showed slight enhancement in Mini Mental State Examination score and decreased Blessed dementia scale score, indicating minute improvement in memory scores. These results collectively confirmed that goat milk consumption provided effectual neuroprotection.
Keywords	acetylcholinesterase ; alternative medicine ; blood serum ; cholesterol ; dementia ; elderly ; elevated plus-maze test ; ethanol ; glutathione ; goat milk ; malondialdehyde ; memory ; milk consumption ; neurons ; neuroprotective effect ; research ; scopolamine ; small ruminants
Language	English
Dates of publication	2022-0615
Publishing place	Elsevier B.V.
Document type	Article
Note	Pre-press version
ZDB-ID	286928-7
ISSN	0921-4488
ISSN	0921-4488
DOI	10.1016/j.smallrumres.2022.106748
Database	NAL-Catalogue (AGRICOLA)

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Article: Analysis on novel coronavirus (COVID-19) using machine learning methods

Yadav, Milind / Perumal, Murukessan / Srinivas, M.

Chaos Solitons Fractals

Abstract	In this paper, we are working on a pandemic of novel coronavirus (COVID-19). COVID-19 is an infectious disease, it creates severe damage in the lungs. COVID-19 causes illness in humans and has killed many people in the entire world. However, this virus is reported as a pandemic by the World Health Organization (WHO) and all countries are trying to control and lockdown all places. The main objective of this work is to solve the five different tasks such as I) Predicting the spread of coronavirus across regions. II) Analyzing the growth rates and the types of mitigation across countries. III) Predicting how the epidemic will end. IV) Analyzing the transmission rate of the virus. V) Correlating the coronavirus and weather conditions. The advantage of doing these tasks to minimize the virus spread by various mitigation, how well the mitigations are working, how many cases have been prevented by this mitigations, an idea about the number of patients that will recover from the infection with old medication, understand how much time will it take to for this pandemic to end, we will be able to understand and analyze how fast or slow the virus is spreading among regions and the infected patient to reduce the spread based clear understanding of the correlation between the spread and weather conditions. In this paper, we propose a novel Support Vector Regression method to analysis five different tasks related to novel coronavirus. In this work, instead of simple regression line we use the supported vectors also to get better classification accuracy. Our approach is evaluated and compared with other well-known regression models on standard available datasets. The promising results demonstrate its superiority in both efficiency and accuracy.
Keywords	covid19
Publisher	WHO
Document type	Article
Note	WHO #Covidence: #655218
Database	COVID19

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