Introduction to Special Feature: Alternative perspectives on school improvement

The growth of interest in school improvement in the last decade has been striking. In the UK, the educational system has moved to a position where school improvement is not merely expected but demanded. As a result, a large number of school improvement projects and initiatives have emerged to meet this demand. Many of these initiatives have emphasised structural change and have located change efforts at the level of the school. However, the research evidence concerning successful school improvement programmes demonstrates the importance of changing school culture and focusing upon teaching and learning. The Improving the Quality of Education For All (IQEA) project embraces both these elements. Over the last 10 years the project has achieved demonstrable success in a diverse range of school contexts and is at the forefront of school improvement work within the UK. This special feature considers IQEA from a variety of perspectives and provides important insights into the theory, process and practice of successful school improvement.     

Evaluation of the BD Vacutainer? RST blood collection tube for routine chemistry analytes: clinical significance of differences and stability study

Introduction:

Preanalytical variables account for most of laboratory errors. There is a wide range of factors that affect the reliability of laboratory report. Most convenient sample type for routine laboratory analysis is serum. BD Vacutainer^® Rapid Serum Tube (RST) (Becton, Dickinson and Company, Franklin Lakes, NJ, USA) blood collection tube provides rapid clotting time allowing fast serum separation. Our aim was to evaluate the comparability of routine chemistry parameters in BD Vacutainer^® RST blood collection tube in reference with the BD Vacutainer^® Serum Separating Tubes II Advance Tube (SST) (Becton, Dickinson and Company, Franklin Lakes, NJ, USA).

Materials and methods:

Blood specimens were collected from 90 participants for evaluation on its results, clotting time and stability study of six routine biochemistry parameters: glucose (Glu), aspartate aminotransferase (AST), alanine aminotransferase (ALT), calcium (Ca), lactate dehidrogenase (LD) and potassium (K) measured with Olympus AU2700 analyzer (Beckman Coulter, Tokyo, Japan). The significance of the differences between samples was assessed by paired t-test or Wilcoxon Matched-Pairs Rank test after checking for normality.

Results:

Clotting process was significantly shorter in the RSTs compared to SSTs (2.49 min vs. 19.47 min, respectively; P < 0.001). There was a statistically significant difference between the RST and SST II tubes for glucose, calcium and LD (P < 0.001). Differences for glucose and LD were also clinically significant. Analyte stability studies showed that all analytes were stable for 24 h at 4 °C.

Conclusions:

Most results (except LD and glucose) from RST are comparable with those from SST. In addition, RST tube provides shorter clotting time.     

“Why in This Bilingual Classroom … Hablamos Más Español?” Language Choice by Bilingual Science Students

This qualitative sociolinguistic research study examines Latino/a students’ use of language in a science classroom and laboratory. This study was conducted in a school in the southwestern United States that serves an economically depressed, predominantly Latino population. The object of study was a 5th-grade bilingual (Spanish/English) class. The findings demonstrate the students’ awareness of their own bilingualism, their preference for speaking Spanish, and their conceptualization of English as the language of academic success. Most significantly, this study reveals how the institutional context impacts both the teacher’s and the students’ behaviors, resulting in an implicit institutionalized bias against Spanish.     

Inverse optimal neural control of blood glucose level for type 1 diabetes mellitus patients

In this paper, inverse optimal neural control for trajectory tracking is applied to glycemic control of type 1 diabetes mellitus (T1DM) patients. The proposed control law calculates the adequate insulin delivery rate in order to prevent hyperglycemia and hypoglycemia levels in T1DM patients. Two models are used: (1) a nonlinear compartmental model in order to obtain type 1 diabetes mellitus virtual patient behavior, and (2) a neural model obtained from an on-line neural identifier, which uses a recurrent neural network, trained with the extended Kalman filter (EKF); the last one allows the applicability of an inverse optimal neural controller. The proposed algorithm is tuned to track a desired trajectory; this trajectory reproduces the glucose absorption of a healthy person. The applicability of the proposed control scheme is illustrated via simulations.     

RHONN identifier-control scheme for nonlinear discrete-time systems with unknown time-delays

This work presents a neural identifier-control scheme for uncertain nonlinear discrete-time systems with unknown time-delays. This scheme is based on a neural identifier to get a model of the system and a discrete-time block control technique based on sliding modes to generate the control law. The neural identifier is based on a Recurrent High Order Neural Network (RHONN) trained with an Extended Kalman Filter (EKF) based algorithm. Applicability is shown using real-time test results for linear induction motors. Also, a Lyapunov analysis is added in order to prove the semi-globally uniformly ultimately boundedness (SGUUB) of the proposed neural identifier-control scheme.