An approach for wind power integration using demand side resources

Renewable energy resources, especially wind power, are expected to provide a considerable portion of the world energy requirements in the near future. Large-scale wind power penetration impacts the electricity industry in many aspects and raises a number of technical challenges for the electricity network. A day-ahead network-constrained market clearing formulation is proposed which considers demand side resources. The proposed approach can provide flexible load profile and reduce the need for ramp up/down services by the conventional generators. This method can potentially facilitate a large penetration of wind power by shifting the wind power generation from the off-peak periods to the high-peak hours. The validity of the proposed approach has been verified using the IEEE 30 bus and 57 bus test systems.

Multiple pharmacological interventions targeting cardiovascular disease risk factors in individuals with type 2 diabetes - systematic review

Background:
The use of pharmacological agents has been shown to slow down the progression of microvascular and macrovascular complications. Most clinical trials address one pharmacological intervention at a time. To date, only a few studies explored multi-factorial pharmacological interventions in T2DM individuals for preventing CVD related complications. Given the current therapeutic inertia in pharmacological management of CVD risk factors, it is important to establish the benefits of a more holistic approach. Therefore, the aim of this review is to assess the efficacy of multiple pharmacological interventions for cardiovascular diseases (CVD) risk factors with or without conventional care in reducing all cause mortality, CVD mortality, stroke and cardiovascular events among adults with type 2 diabetes. Current evidence fails to support the benefit of multiple pharmacological interventions on all cause mortality and death from cardiovascular causes. However, beneficial effects were seen on the reduction of the overall number of cardiovascular events and there were promising trends for secondary outcomes such as stroke, myocardial infarction, revascularisation and amputation.

Second-year pre-service teachers’ responses to proportional reasoning test items

A recent international study of pre-service teachers identified that proportional reasoning was problematic for pre-service teachers. Proportional reasoning is an important topic in the middle years of schooling and therefore it is critical that teachers understand this topic and can rely on their Mathematical Content Knowledge (MCK) when teaching. The focus of this paper is second-year Australian primary pre-service teachers’ MCK of real number items related to ratio, rate, proportion and proportional reasoning. This paper reports on strengths and weakness of pre-service teachers’ MCK when responding to test items; including a method suitable for analysing responses to five items and ranked by three levels of difficulty. The results revealed insights into their correct methods of solutions and common incorrect responses, identifying difficulty, where multiplication and division were required. The method of coding test items by difficulty ranking may assist with developing an appropriate learning trajectory, which will assist pre-service teachers develop their MCK of this and other difficult topics.

Mathematics: Launching Futures Proceedings of the 24th Biennial Conference of The Australian Association of Mathematics Teachers Inc.

‘Mathematics: Launching Futures’ was the theme for the 24th Biennial Conference of The Australian Association of Mathematics Teachers Inc.It was the first national conference on mathematics education since the introduction of the Australian Curriculum and so addresses the support educators will need to implement this curriculum. It also addressed concerns regarding  the low numbers of students studying higher level mathematics at school and university. A major aim of the conference was the sharing of knowledge to encourage  and support teachers at all
stages of their careers. This conference featured a joint day with the 36th Annual Conference of the Mathematics Education Research Group of Australasia (MERGA), aiming to enhance collaboations between researchers and teachers.

Quasi-decentralized functional observers for the LFC of interconnected power systems

This letter presents a novel approach to the load-frequency control (LFC) of interconnected power systems. Based on functional observers theory, quasi-decentralized functional observers (QDFOs) are designed to implement any given global PI state feedback controller. The designed functional observers are decoupled from each other and also of low-order; thus, they are cost effective and easy to implement. Although the proposed approach is applicable to N- area power systems, an example of a two-area interconnected power system with reheat thermal turbines is considered for simplicity.

Negotiating place and space in a school-wide curriculum innovation: a place for the animals

School-wide curriculum innovations are complex fields of practice, held together by a cast of heterogeneous actors who put various and diverse discourses to work in their everyday efforts to shape their work. This paper draws upon ethnographic data collected in a large regional primary school that since the beginning of 2012 has implemented a school-wide science specialism. In this paper, we focus on one feature of the initiative - classroom animals. We explore the discursive construction of ‘classroom animals' in relation to teachers work and student learning, framing our discussion around three dichotomies found in the data that raise questions about: the nature of science education; what it means to be a good teacher in this context; and, what it means to be a good classroom animal. Tensions between canonical, disciplinary approaches to science education and broader, cross-curricular and critical approaches contribute to the broad context of this paper, and implications for embedding science teaching and learning in the everyday work of primary teachers and students are discussed.

Empirical investigation of decision tree ensembles for monitoring cardiac complications of diabetes

Cardiac complications of diabetes require continuous monitoring since they may lead to increased morbidity or sudden death of patients. In order to monitor clinical complications of diabetes using wearable sensors, a small set of features have to be identified and effective algorithms for their processing need to be investigated. This article focuses on detecting and monitoring cardiac autonomic neuropathy (CAN) in diabetes patients. The authors investigate and compare the effectiveness of classifiers based on the following decision trees: ADTree, J48, NBTree, RandomTree, REPTree, and SimpleCart. The authors perform a thorough study comparing these decision trees as well as several decision tree ensembles created by applying the following ensemble methods: AdaBoost, Bagging, Dagging, Decorate, Grading, MultiBoost, Stacking, and two multi-level combinations of AdaBoost and MultiBoost with Bagging for the processing of data from diabetes patients for pervasive health monitoring of CAN. This paper concentrates on the particular task of applying decision tree ensembles for the detection and monitoring of cardiac autonomic neuropathy using these features. Experimental outcomes presented here show that the authors' application of the decision tree ensembles for the detection and monitoring of CAN in diabetes patients achieved better performance parameters compared with the results obtained previously in the literature.