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Intrinsic complexity of partial learning

Jain, Sanjay; Kinber, Efim

Theoretical computer science. Volume 776: (2019, July 12th); pp 43-63 -- Elsevier Science

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Enumerations including laconic enumerators

Jain, Sanjay; Teutsch, Jason

Theoretical computer science. Volume 700: (2017, November 14th); pp 89-95 -- Elsevier Science

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In vitro release kinetics model fitting of liposomes: An insight

Jain, Ankit; Jain, Sanjay K.

Chemistry and physics of lipids. Volume 201 (2016); pp 28-40 -- Elsevier Ireland

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Development of liposomes using formulation by design: Basics to recent advances

Jain, Ankit; Hurkat, Pooja; Jain, Sanjay K.

Chemistry and physics of lipids. Volume 224: (2019, November) -- Elsevier Ireland

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Predictors for diagnosing metabolic syndrome among hypertensive patients in a tertiary care centre

Sahoo, Jaya Prakash; Kumari, Savita; Jain, Sanjay

Diabetes & metabolic syndrome: clinical research & reviews. Volume 9:Issue 2 (2015, April/June); pp 132-134 -- Elsevier

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Effectivity questions for Kleene's recursion theorem

Case, John; Jain, Sanjay; Stephan, Frank

Theoretical computer science. Volume 733: (2018, July 15th); pp 55-70 -- Elsevier Science

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Learning pattern languages over groups

Hölzl, Rupert; Jain, Sanjay; Stephan, Frank

Theoretical computer science. Volume 742: (2018, September 19th); pp 66-81 -- Elsevier Science

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Glacial lake outburst flood risk assessment using combined approaches of remote sensing, GIS and dam break modelling

Aggarwal, Arpit et al.

Geomatics, natural hazards & risk. Volume 7:Issue 1 (2016, January); pp 18-36 -- Taylor & Francis

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Prevalence and determinants of comorbid diabetes and hypertension: Evidence from non communicable disease risk factor STEPS survey, India

Tripathy, Jaya Prasad et al.

Diabetes & metabolic syndrome: clinical research & reviews. Volume 11:Number S1 (2017, November); pp S459-S465 -- Elsevier

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Prevalence and determinants of comorbid diabetes and hypertension: Evidence from non communicable disease risk factor STEPS survey, India

Tripathy, Jaya Prasad et al.

Diabetes & metabolic syndrome: clinical research & reviews. Volume 11 (2017) Supplement 1; pp S459-S465 -- Elsevier

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