What value does peer-assisted learning have in the training of student paramedics?

The article below describes how the implementation of peer-assisted learning into the classroom setting can help to support student paramedics in the development of their own clinical skills and knowledge. Peer assisted learning is now being recognised as an effective learning strategy to support the development of health care professionals. Furthermore, adopting coaching style dialogue and conversation enhances learning and development for both the coach and coachee and in this instance for year 1 and year 3 student paramedics. The article describes broadly the evaluation findings of a session whereby year 3 student paramedics coached year 1 student paramedics to further develop a range of clinical skills through demonstration and discussion. A summary overview of the findings reflects the multiple benefits of this innovative approach to facilitating learning, including a notable increase in professional knowledge and skills for both groups of students

The design of a Space-borne multispectral canopy LiDAR to estimate global carbon stock and gross primary productivity

Understanding the dynamics of the global carbon cycle is one of the most challenging issues for the scientific community. The ability to measure the magnitude of terrestrial carbon sinks as well as monitoring the short and long term changes is vital for environmental decision making. Forests form a significant part of the terrestrial biosystem and understanding the global carbon cycle, Above Ground Biomass (AGB) and Gross Primary Productivity (GPP) are critical parameters. Current estimates of AGB and GPP are not adequate to support models of the global carbon cycle and more accurate estimates would improve predictions of the future and estimates of the likely behaviour of these sinks. Various vegetation indices have been proposed for the characterisation of forests including canopy height, canopy area, Normalised Difference Vegetation Index (NDVI) and Photochemical Reflectance Index (PRI). Both NDVI and PRI are obtained from a measure of reflectivity at specific wavelengths and have been estimated from passive measurements. The use of multi-spectral LiDAR to measure NDVI and PRI and their vertical distribution within the forest represents a significant improvement over current techniques. This paper describes an approach to the design of an advanced Multi-Spectral Canopy LiDAR, using four wavelengths for measuring the vertical profile of the canopy simultaneously. It is proposed that the instrument be placed on a satellite orbiting the Earth on a sun synchronous polar orbit to provide samples on a rectangular grid at an approximate separation of 1km with a suitable revisit frequency. The systems engineering concept design will be presented

Generating Utilization Vectors for the Systematic Evaluation of Schedulability Tests

—This paper introduces the Dirichlet-Rescale (DRS) algorithm. The DRS algorithm provides an efficient general-purpose method of generating n-dimensional vectors of components (e.g. task utilizations), where the components sum to a specified total, each component conforms to individual constraints on the maximum and minimum values that it can take, and the vectors are uniformly distributed over the valid region of the domain of all possible vectors, bounded by the constraints. The DRS algorithm can be used to improve the nuance and quality of empirical studies into the effectiveness of schedulability tests for real-time systems; potentially making them more realistic, and leading to new conclusions. It is efficient enough for use in large-scale studies where millions of task sets need to be generated. Further, the constraints on individual task utilizations can be used for fine-grained control of task set parameters enabling more detailed exploration of schedulability test behavior. Finally, the real power of the algorithm lies in the fact that it can be applied recursively, with one vector acting as a set of constraints for the next. This is particularly useful in task set generation for mixed criticality systems and multi-core systems, where task utilizations are either multi-valued or can be decomposed into multiple constituent part

Forecast-Based Interference : Modelling Multicore Interference from Observable Factors

While there is significant interest in the use of COTS multicore platforms for Real-time Systems, there has been very little in terms of practical methods to calculate the interference multiplier (i.e. the increase in execution time due to interference) between tasks on such systems. COTS multicore platforms present two distinct challenges: firstly, the variable interference between tasks competing for shared resources such as cache, and secondly the complexity of the hardware mechanisms and policies used, which may result in a system which is very difficult if not impossible to analyse; assuming that the exact details of the hardware are even disclosed! This paper proposes a new technique, Forecast-Based Interference analysis, which mitigates both of these issues by combining measurement-based techniques with statistical techniques and forecast modelling to enable the prediction of an interference multiplier for a given set of tasks, in an automated and reliable manner. The combination of execution times and interference multipliers can be used both in the design, e.g. for specifying timing watchdogs, and analysis, e.g. verifying schedulability

AirTight: A Resilient Wireless Communication Protocol for Mixed-Criticality Systems

This paper describes the motivation, design, analysis and implementation of a new protocol for critical wireless communication called AirTight. Wireless communication has become a crucial part of the infrastructure of many cyber-physical applications. Many of these applications are real-time and also mixed-criticality, in that they have components/subsystems with different consequences of failure. Wireless communication is inevitably subject to levels of external interference. In this paper we represent this interference using a criticality-aware fault model; for each level of interference in the fault model we guarantee the timing behaviour of the protocol (i.e.~we guarantee that packet deadlines are satisfied for certainly levels of criticality). Although a new protocol, AirTight is built upon existing standards such as IEEE 802.15.4. A prototype implementation and protocol-accurate simulator, which are also built upon existing technologies, demonstrate the effectiveness and functionality of the protocol

Transforming Lives at Sheridan : a Tribute to Dr. Mozammel Khan

The original 2017 edition of this title was published in recognition of Dr. Mozammel Khan’s career in quality assurance instruction and positive impact on graduates of Sheridan College’s Quality Assurance Manfacturing Management program (PQUAS), with proceeds from the book supporting the Mozammel Khan scholarship Foundation. Khan, originally from Bangladesh, taught in Singapore before immigrating to Canada in the 1990s, where he founded the first post-secondary QA program of its kind in Ontario at Sheridan College. Editor Lorraine Fraser collects heartfelt letters of appreciation to Khan from alumni of the PQUAS program, who share memories, successes and challenges from their time as students at Sheridan, as well as describing his impact on their careers in the field. In an autobiographical chapter, Khan shares his background in engineering and quality assurance, his journey as an immigrant, and his involvement in developing Sheridan’s PQUAS program. Dr. Iain McNab (Dean of Faculty of Applied Science and Technology) further discusses Khan’s personal history and career at Sheridan in an interview, while his political life and impact for other new immigrants are explored by Professor Jack Urowitz (Faculty of Animation, Art and Design) and Dr. Soumitra Nandi (Faculty of Applied Science and Technology).https://source.sheridancollege.ca/fast_books/1004/thumbnail.jp