Weiling Leng,1,* Juan Jiang,2,* Bing Chen,1 Qinan Wu3 1Endocrinology Department, The First Affiliated Hospital of the Third Military Medical University (Army Medical University), Chongqing, People’s Republic of China; 2Endocrinology and Nephrology Department, Chongqing University Cancer Hospital and Chongqing Cancer Institute and Chongqing Ca
ISOLATION OF Rhizopus oryzae FROM ROTTEN FRUIT AND ITS POTENCY FOR LACTIC ACID PRODUCTION IN GLUCOSE MEDIUM WITH AND WITHOUT ADDITION OF CALCIUM CARBONATE
here Studies on lactic acid production by filamentous fungi Rhizopus oryzae have been explored in the world.Unfortunately, these studies are still limited in Indonesia, particularly studies in lactic acid production by indigenous strain R.oryzae.Four strains obtained from rotten avocado and guava were potential in producing lactic acid (AT1, JT1, A
Adaptive Platoon Control for Marine Surface Vehicles in the Presence of Constraints
This paper presents the platoon formation control design for unmanned surface vehicles with input and output constraints.First, Barrier Lyapunov Function (BLF) is employed to ensure the desired line-of-sight (LOS) range.The LOS range should be maintained within the predefined regions between each marine vehicle and here its predecessor while the co
Low birth weight and the delay on the eruption of deciduous teething in children
Abstract Objectives: To analyze the association between low birth weight (LBW) and the occurrence of the delay on the eruption of deciduous teething (DEDT) in children from 04 to 30 months, living in Salvador, Bahia.Methods: A cross-sectional study involved animed blue lotion topical spray 520 children at four to thirty months of age, from public,
A parametric framework for multidimensional linear measurement error regression
The ordinary linear regression method is limited to bivariate data because it is based on the Cartesian representation y = f(x).Using the chain rule, we transform the method to the parametric representation (x(t), y(t)) and obtain a linear regression framework in which the weighted average is used as a parameter for a multivariate linear relation f