Blind extraction using fractional lower-order statistics

In traditional method to blindly extract interesting source signals sequentially, the second-order or higher-order statistics of signals are often utilized. However, for impulsive sources, both of the second-order and higher-order statistics may degenerate. Therefore, it is necessary to exploit new method for the blind extraction of impulsive sources. Based on the best compression-reconstruction principle, a novel model is proposed in this work, together with the corresponding algorithm. The proposed method can be used for blind extraction of sources which are distributed from alpha stable process. Simulations are given to illustrate availability and robustness of our algorithm.

Vital signs

Vital sign assessment and interpretation is integral in determining a patient's health status. An important aim of assessment of vital signs is to identify early patient deterioration. This chapter will provide guidelines to facilitate the incorporation of vital sign measurement into nursing practice.

Students’ views on the incorporation of commercial awareness in real estate education

Purpose – The purpose of this paper is to review how real estate students perceive and define commercial awareness, which is one of the most important employability skills. This paper also examines students’ perceptions about how their courses support and develop their commercial awareness. In addition, it compares students’ and academics’ views on commercial awareness and identifies whether there are any gaps.

Design/methodology/approach – This paper presents the research findings of a questionnaire survey and e-mail discussions with students who are currently studying Royal Institution of Chartered Surveyors (RICS)-accredited real estate courses in the UK. The questionnaire aimed to gather students’ views on the definitions and components of commercial awareness and identify what skills and attributes are required for its development. It also evaluates how commercial awareness has been embedded in the real estate courses. The aim of each discussion was to gain deeper insight on how components of commercial awareness are embedded in real estate courses, and 17 discussions were conducted. The contents of the e-mail discussions were analysed and similar themes were identified and coded. The frequency of the answer in the questionnaire and comments from interviewees is presented. The findings from students’ views have been compared to published research reporting UK RICS-accredited real estate course providers’ views on commercial awareness. In addition to descriptive statistics, Fisher’s exact test was used to identify the statistical significance between the academics’ and students’ views on commercial awareness.

Findings – The UK real estate students agreed that the most important definition of commercial awareness is a “person’s ability to understand the economics of business”. They agreed that “financial” component is the most important component of commercial awareness and it is the largest portion of their courses. The most important skill and attribute for commercial awareness development are “critical thinking” and “ability and willingness to update professional knowledge”, respectively. Although the descriptive analysis shows students and academics have different views on the definition and components of commercial awareness and its incorporation within real estate courses, the Fisher exact test shows that only a few elements are different enough to be statistically significant. This analysis shows that while students and academics have slightly different views on commercial awareness they are not very different.  Commercial awareness is an important employability skill, thus, it is still necessary for real estate academics to re-visit the curriculum and to ensure learning outcomes related to commercial awareness have been clearly explained and communicated to students. Furthermore, it is vital for students to obtain practical experience in order to fully develop their commercial awareness. 

Originality/value – This paper is a pioneer study focused on reviewing real estate students’ views on commercial awareness, including identifying its definition, components and evaluating the extent to which commercial awareness has been embedded in their courses. It also identifies the skills and attributes that students thought were required for the development of commercial awareness.  Furthermore, it discusses students’ preferred ways of enhancing their commercial awareness as part of the course they are studying. It is the first study identifying the statistical difference between students’ and academics’ views on commercial awareness. The understanding of students’ views on commercial awareness, their preferred delivery method and the divergence between students’ and academics’ views on commercial awareness can provide useful insights for course directors on the development and renewal of real estate course curriculum

Increased left hemisphere impairment in high-functioning autism : A tract based spatial statistics study

There is evidence emerging from Diffusion Tensor Imaging (DTI) research that autism spectrum disorders (ASD) are associated with greater impairment in the left hemisphere. Although this has been quantified with volumetric region of interest analyses, it has yet to be tested with white matter integrity analysis. In the present study, tract based spatial statistics was used to contrast white matter integrity of 12 participants with high-functioning autism or Aspergers syndrome (HFA/AS) with 12 typically developing individuals. Fractional Anisotropy (FA) was examined, in addition to axial, radial and mean diffusivity (AD, RD and MD). In the left hemisphere, participants with HFA/AS demonstrated significantly reduced FA in predominantly thalamic and fronto-parietal pathways and increased RD. Symmetry analyses confirmed that in the HFA/AS group, WM disturbance was significantly greater in the left compared to right hemisphere. These findings contribute to a growing body of literature suggestive of reduced FA in ASD, and provide preliminary evidence for RD impairments in the left hemisphere.

Spike sorting using locality preserving projection with gap statistics and landmark-based spectral clustering

Understanding neural functions requires knowledge from analysing electrophysiological data. The process of assigning spikes of a multichannel signal into clusters, called spike sorting, is one of the important problems in such analysis. There have been various automated spike sorting techniques with both advantages and disadvantages regarding accuracy and computational costs. Therefore, developing spike sorting methods that are highly accurate and computationally inexpensive is always a challenge in the biomedical engineering practice.