BACKGROUND AND OBJECTIVES Pain control after hepatic resection presents unique challenges as subcostal incisions, rib retraction, and diaphragmatic irritation can lead to significant pain. Both epidural analgesia and ON-Q catheters have been used for postoperative pain management after hepatic surgery, but to our knowledge have not been directly compared. METHODS The records of 143 patient be...

 The effect of sodium silicate (Si) and potassium (K) were investigated on the major antioxidant enzyme activities in two different grapevine cultivars (Vitis vinifera L., cvs Yezandai and Malinger Ramfi) under drought stress. The traits included superoxide dismutase (SOD, EC 1.15.1.1), catalase (CAT, EC 1.11.1.6), peroxidase (POD, EC 1.11.1.7), guaiacol peroxidase (GPX, EC 1.11.1.7), ascorbate...

Production of high quality seeds in African leafy vegetables has not been practiced due to varying reasons including incorrect harvesting stages and fertilizer rates. Jute mallow (Corchorus olitorius L.) pods do not ripen simultaneously and fruits left to dry on mother plant long before harvesting, which face seed quality deterioration. Timely seed harvesting ensures maximum seed quality attrib...

Proper Orthogonal Decomposition (POD), alternatively known as Principal Component Analysis or the Karhunen-Loève decomposition, is a model-reduction technique which generates the optimal linear subspace of dimension D for a given set of higher-dimensional data. That is, if the data are contained within an attractor, the POD process can produce the affine linear space that best approximates the ...

In this work linear-quadratic optimal control problems for parabolic equations with control and state constraints are considered. Utilizing a Lavrentiev regularization we obtain a linear-quadratic optimal control problem with mixed controlstate constraints. For the numerical solution a Galerkin discretization is applied utilizing proper orthogonal decomposition (POD). Based on a perturbation me...

Proper orthogonal decomposition (POD) is a powerful technique for model reduction of linear and non-linear systems. It is based on a Galerkin type discretization with basis elements created from the system itself. In this work, error estimates for Galerkin POD methods for linear elliptic, parameter-dependent systems are proved. The resulting error bounds depend on the number of POD basis functi...

An Examination of Body Composition Measurement Methods in Children by Robert Kaplan Dr. Lawrence Golding, Examination Committee Chair Distinguished Professor of Exercise Physiology University of Nevada, Las Vegas INTRODUCTION: Body-composition methods include underwater weighing (UWW), skinfold thickness (SKF), bioelectrical impedance (BIA), and the BOD POD. Although these techniques are used r...

Environmental pollution has been a serious problem since the start of the industrial revolution. The pollution usually comes from industrial wastes, waste water, heavy metal, etc. Heavy metals such as lead, mercury, tin are considered to be toxic to living organisms and enzyme activities. However, metal ions can play essential role in plants and animals as they are involved in fundamental proce...

INTRODUCTION Early safe discharge is paramount for the success of ERAS following colorectal cancer resections. Anastomotic leakage (AL) has high morbidity, particularly if the patient has been discharged to the community. AIM To evaluate whether C-reactive protein (CRP) and procalcitonin (PCT) can predict AL before early discharge. MATERIAL AND METHODS Fifty-five consecutive patients underg...

Many of the tools of dynamical systems and control theory have gone largely unused for fluids, because the governing equations are so dynamically complex, both high-dimensional and nonlinear. Model reduction involves finding low-dimensional models that approximate the full high-dimensional dynamics. This paper compares three different methods of model reduction: proper orthogonal decomposition ...