Comparison of two modes of delivery of first aid training including basic life support

Aims: Flexible-learning first aid courses are increasingly common due to reduced classroom contact time. This study compared retention of first aid knowledge and basic life support (BLS) skills three months after a two-day, classroom-based first aid course (STD) to one utilizing on-line theory learning at home followed by one day of classroom training (FLEX).
Methods: In this prospective randomized controlled trial, 256 participants with internet access and no first aid related training for at least five years were randomly allocated to a STD or FLEX course. Assessment was conducted immediately after training and again three months later. Each participant was allocated a theory and a BLS score, which were summed and averaged to create an equally-weighted ‘combined score’
of first aid knowledge and skills.
Results: There was no significant difference in theory scores between the STD and FLEX groups immediately after training and after three months. STD participants had significantly higher BLS scores immediately after training (p = 0.001) and three months later (p = 0.046). Males had significantly higher BLS scores after training (p < 0.001), but not three months later (p = 0.02). Participants older than 46 years had significantly lower BLS scores than younger participants (p < 0.001). There was no significant difference in combined scores between the STD and FLEX groups or between genders, education or age groups either immediately after training or three months later.
Conclusion: After replacing one day of classroom-based training with on-line theory training, there was no significant difference in the first aid competencies of the study population, as measured by an equallyweighted
combined score of basic life support and first aid theory.

Superimposed channel training for two-way MIMO relay systems

Two-way relaying systems are known to be capable of providing higher spectral efficiency compared with one-way relaying systems. However, the channel estimation problem for two-way relaying systems becomes more complicated. In this paper, we propose a superimposed channel training scheme for two-way MIMO relay communication systems, where the individual channel information for users-relay and relay-users links are estimated. The optimal structure of the source and relay training sequences are derived when the mean-squared error (MSE) of channel estimation is minimized. We also optimize the power allocation between the source and relay training sequences to improve the performance of the algorithm. Numerical examples are shown to demonstrate the performance of the proposed channel training algorithm.

Optometry training simulation with augmented reality and haptics

Optometry is an essential health care profession that has existed for many centuries and is still evolving. However, the training approaches for optometrists are not yet on par with the latest technological evolution. The traditional supervisor-student training mode could not provide good immersion and repeatability, while most existing vision-based computer-assisted simulations provide even worse immersion on screens. In this paper, we propose an effective system for optometry training simulation with two major components: augmented reality and haptics. These components are integrated with the actual slit lamp and are able to greatly enhance the immersion for typical optometry training tasks such as foreign body removal. Medical doctors are also involved in suggesting configurations and validating visual and haptic rendering results. Preliminary user studies show very positive feedbacks from optometry students.

Superimposed channel training algorithm for time-varying MIMO relay systems

Two-way relaying systems are known to be capable of providing higher spectral efficiency compared with one-way relaying systems. However, the channel estimation problem for two-way relaying systems becomes more complicated. In this paper, we propose a superimposed channel training scheme for two-way MIMO relay communication systems, where the individ-ual channel information for users-relay and relay-users links are estimated. The optimal structure of the source and relay training sequences are derived when the mean-squared error (MSE) of channel estimation is minimized. We also optimize the power allocation between the source and relay training sequences to improve the performance of the algorithm. Numerical examples are shown to demonstrate the performance of the proposed channel training algorithm.

Increasing national capability for quality higher education the case of the Sultanate of Oman

This paper explores a number of quality enhancement initiatives being implemented in a developing country, the Sultanate of Oman, to increase the national capability for quality higher education. Oman is a young country with a youthful and rapidly growing population. A brief description of the relatively short history of Oman’s national systems for secondary and postsecondary education is provided. This highlights the challenges for quality education resulting from a strategy of importing postsecondary education from a variety of countries, and delivering the programs through a largely privatized sector.

The paper then describes the outcomes of an initial needs analysis that led to the development of a National Quality Plan. Some of the strategies in this plan for improving and increasing capability are considered, most particularly the establishment of a practitioner‐oriented Oman Quality Network, and the design and implementation of a National Quality Training Program. These two strategies attempt to address common obstacles to capability, namely a paradigm that entrenches compliance and helplessness, and only early awareness of effective quality enhancement and quality assurance principles and methods.

Evaluation results are presented that comment on progress thus far, and suggest critical success factors. These include building legitimacy and trust to overcome barriers to sharing information in a competitive privatized environment. They also include the establishment of peer to peer mechanisms that build confidence and create sustainability over time, as imported or external expertise gives way to local capability and expertise.

Channel estimation for two-way MIMO relay systems in frequency-selective fading environments

© 2002-2012 IEEE. In this paper, we investigate the channel estimation problem for two-way multiple-input multiple-output (MIMO) relay communication systems in frequency-selective fading environments. We apply the method of superimposed channel training to estimate the individual channel state information (CSI) of the first-hop and second-hop links for two-way MIMO relay systems with frequency-selective fading channels. In this algorithm, a relay training sequence is superimposed on the received signals at the relay node to assist the estimation of the second-hop channel matrices. The optimal structure of the source and relay training sequences is derived to minimize the mean-squared error (MSE) of channel estimation. Moreover, the optimal power allocation between the source and relay training sequences is derived to improve the performance of channel estimation. Numerical examples are shown to demonstrate the performance of the proposed superimposed channel training algorithm for two-way MIMO relay systems in frequency-selective fading environments.