نتایج جستجو برای: kangaroo mather care

تعداد نتایج: 621125  

ژورنال: Hormozgan Medical Journal 2007
Khatami Doost , F, Khorsandi, M, Vakilian, K,

Introduction: Kangaroo mother care (KMC) was first suggested in 1978 by Dr. Edgar Ray in Bogota, Colombia. It was developed initially as caring for low birth weight infants. Quantitative studies on the effect of KMC on maternal attachment behavior is few. It is specially true about different maternal behavior in various cultures. This study was done to evaluate KMC on attachment behaviors (affe...

Journal: :Clinical and Experimental Pediatrics 2020

Journal: :Physics Today 1998

Journal: :The English Historical Review 1886

Journal: :Acta paediatrica 1998
A Cattaneo R Davanzo F Uxa G Tamburlini

Good quality care of low birthweight infants could reduce neonatal mortality in low-income countries, but the technologies used in rich countries are inappropriate. Kangaroo Mother Care does not need expensive and sophisticated equipment, and for its simplicity it can be applied almost everywhere, including peripheral maternity units of very low-income countries. Kangaroo Mother Care (KMC) can ...

Journal: :Pediatrics 2015
Jill Baley

“Kangaroo mother care” was first described as an alternative method of caring for low birth weight infants in resource-limited countries, where neonatal mortality and infection rates are high because of overcrowded nurseries, inadequate staffing, and lack of equipment. Intermittent skin-to-skin care (SSC), a modified version of kangaroo mother care, is now being offered in resource-rich countri...

2002
Diogo Aguiar Gomes D A Gomes

In this paper, we discuss a stochastic analogue of Aubry–Mather theory in which a deterministic control problem is replaced by a controlled diffusion. We prove the existence of a minimizing measure (Mather measure) and discuss its main properties using viscosity solutions of Hamilton–Jacobi equations. Then we prove regularity estimates on viscosity solutions of the Hamilton–Jacobi equation usin...

Journal: :Scottish Studies 2006

2011
M. A. Hakim Newton Duc Nghia Pham Abdul Sattar Michael J. Maher

In this paper, we introduce Kangaroo, a constraint-based local search system. While existing systems such as Comet maintain invariants after every move, Kangaroo adopts a lazy strategy, updating invariants only when they are needed. Our empirical evaluation shows that Kangaroo consistently has a smaller memory footprint than Comet, and is usually significantly faster.

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