Noise and interference in transmission of speech signals in the coroporate network

In signal processing, noise is a general term for unwanted (and, in general, unknown) modifications that a signal may suffer during capture, storage, transmission, processing, or conversion. Sometimes, it can also mean signals that are random (unpredictable) and carry no useful information; even if they are not interfering with other signals or may have been introduced intentionally, as in comfort noise. Noise reduction, the recovery of the original signal from the noise-corrupted one, is a very common goal in the design of signal processing systems, especially filters. The mathematical limits for noise removal are set by information theory, namely the Nyquist–Shannon sampling theorem

The effect of tobacco snuff on blood coagulation parameters in adult Wistar rats

This study evaluates the effect of tobacco snuff on platelet count, prothrombin time (PT), and partial thromboplastin time (aPTT) in adult Wistar rats weighing between 150-300g and divided into four group (A - D; n=12 each). Group A served as control, while B, C and D served as test groups. The test groups were further divided into four subgroups (B1 - D1; B2 - D2; B3 - D3; and B4 - D4); representing experimental durations of 2, 4, 6 and 8 weeks respectively. Groups B1-D1; B2-D2; B3-D3; and B4-D4, received varying doses of tobacco snuff and at the end of 2, 4, 6 and 8 weeks respectively, 3 rats from the sub groups were prepared for blood sample collection into EDTA and plain containers via cardiac puncture. Platelet-poor-plasma for PT and aPTT determination was obtained by spinning the blood at 2000rpm for 15 minutes, while sample analysis was performed using Diammonium ethanedioate and the prothrombin time/activated partial thromboplastin test kits. The results obtained showed that tobacco snuff has capacity to induce platelet count reduction, prolong aPTT and delay PT. Thus, as more public enlightenment in this regard is required, specific molecular studies are necessary to fully explain the mechanisms.Keywords: Blood, coagulation, coagulation factors, Tobacco, Yaj

APPLICATIONS OF LEARNING ANALYTICS TO STUDENT ENGAGEMENT DATA: A SYSTEMATIC LITERATURE REVIEW

Learning analytics is a fast-growing field of data mining. Application of learning analytics to the education domain involves the collection of data about students and the learning environment, analysing and reporting of the discovered pattern to gain insight, improve learning activities and optimize learning outcomes. Application of Learning Analytics to gain insight into student engagement from both student and teachers’ perspectives can discover hidden patterns that will enhance students’ level of engagement and, in turn, enhance students’ performance. This study presents a systematic review of the application of learning analytics to gain insight from student engagement practices in higher education to determine: (1) the authors’ objectives of applying learning analytics to the student engagement dataset, (2) what approaches are commonly used to collect data about student engagement, (3) algorithms or learning analytics techniques that are commonly used to gain insight from student engagement data, (4) the important insights from the studies (5) the intended beneficiaries of the insights. From the finding of the reviews, this study was able to shed light on the obstacles that are impeding the quick adoption and application of learning analytics to improve student engagement and outcomes, and recommendations were made for future studies on student engagement

Adaptive-mutation compact genetic algorithm for dynamic environments

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link

Using quality measures for quality improvement: The perspective of hospital staff

Research objective: This study examines the perspectives of a range of key hospital staff on the use, importance, scientific background, availability of data, feasibility of data collection, cost benefit aspects and availability of professional personnel for measurement of quality indicators among Iranian hospitals. The study aims to facilitate the use of quality indicators to improve quality of care in hospitals. Study design: A cross-sectional study was conducted over the period 2009 to 2010. Staff at Iranian hospitals completed a self-administered questionnaire eliciting their views on organizational, clinical process, and outcome (clinical effectiveness, patient safety and patient centeredness) indicators. Population studied: 93 hospital frontline staff including hospital/nursing managers, medical doctors, nurses, and quality improvement/medical records officers in 48 general and specialized hospitals in Iran. Principal findings: On average, only 69% of respondents reported using quality indicators in practice at their affiliated hospitals. Respondents varied significantly in their reported use of organizational, clinical process and outcome quality indicators. Overall, clinical process and effectiveness indicators were reported to be least used. The reported use of indicators corresponded with their perceived level of importance. Quality indicators were reported to be used among clinical staff significantly more than among managerial staff. In total, 74% of the respondents reported to use obligatory indicators, while this was 68% for voluntary indicators (p<0.05). Conclusions: There is a general awareness of the importance and usability of quality indicators among hospital staff in Iran, but their use is currently mostly directed towards external accountability purposes. To increase the formative use of quality indicators, creation of a common culture and feeling of shared ownership, alongside an increased uptake of clinical process and effectiveness indicators is needed to support internal quality improvement processes at hospital level

Human-Centered Design Components in Spiral Model to Improve Mobility of Older Adults

As humans grow older, their cognitive needs change more frequently due to distal and proximal life events. Designers and developers need to come up with better designs that integrate older users’ needs in a short period of time with more interaction with the users. Therefore, the positioning of human end users in the center of the design itself is not the key to the success of design artifacts while designing applications for older adults to use a smartphone as a promising tool for journey planner while using public transportation. This study analyzed the use of human-centered design (HCD) components, the spiral model, and the design for failure (DfF) approach to improve the interactions between older users and designers/developers in gathering usability needs in the concept stage and during the development of the app with short iterative cycles. To illustrate the importance of the applied approach, a case study with particular focus on older adults is presented.The results presented in this study are based on “Assistant” project funded by AAL JP, co-funded by the European Union. The authors would like to thank Dr. Stefan Carmien, my colleague in Assistant, for mentoring and for reading and making comments in the earlier versions of this chapter; participating research institutes; funding agencies; and companies from Finland, Spain, Austria, France, and the United Kingdom for their active support throughout the project

Robot deployment in long-term care: a case study of a mobile robot in physical therapy

Background. Healthcare systems in industrialised countries are challenged to provide care for a growing number of older adults. Information technology holds the promise of facilitating this process by providing support for care staff, and improving wellbeing of older adults through a variety of support systems. Goal. Little is known about the challenges that arise from the deployment of technology in care settings; yet, the integration of technology into care is one of the core determinants of successful support. In this paper, we discuss challenges and opportunities associated with technology integration in care using the example of a mobile robot to support physical therapy among older adults with cognitive impairment in the European project STRANDS. Results and discussion. We report on technical challenges along with perspectives of physical therapists, and provide an overview of lessons learned which we hope will help inform the work of researchers and practitioners wishing to integrate robotic aids in the caregiving process

The effectiveness and cost-effectiveness of strength and balance Exergames to reduce falls risk for people aged 55 years and older in UK assisted living facilities: A multi-centre, cluster randomised controlled trial

Background: Falls are the leading cause of fatal and non-fatal unintentional injuries in older people. The use of Exergames (active, gamified video-based exercises) is a possible innovative, community-based approach. This study aimed to determine the effectiveness of a tailored OTAGO/FaME based strength and balance Exergame programme for improving balance, maintaining function and reducing falls risk in older people. Methods: A two-arm cluster randomised controlled trial recruiting adults aged 55 years and older living in 18 assisted-living (sheltered housing) facilities (clusters) in the UK. Standard care (physiotherapy advice and leaflet) was compared to a tailored 12-week strength and balance Exergame programme, supported by physiotherapists or trained assistants. Complete-case analysis (intention to treat) was used to compare Berg Balance Scale (BBS) at baseline and at 12 weeks. Secondary outcomes included: fear of falling, mobility, falls risk, pain, mood, fatigue, cognition, healthcare utilisation and health-related quality of life; self-reported physical activity and falls. Results: Eighteen clusters were randomised (9 to each arm) with 56 participants allocated to the intervention and 50 to the control (78% female, mean age 78 years). Fourteen participants withdrew over the 12 weeks (both arms), mainly for ill health. There was an adjusted mean improvement in balance (BBS) of 6.2 (95% CI 2.4 to 10.0), reduced fear of falling (p=0.007) and pain (p=0.02) in Exergame group. Mean attendance at sessions was 69% (mean exercising time of 33 minutes/week). 24% of control group and 20% of Exergame group fell over trial period. The change in falls rates significantly favoured the intervention (incident rate ratio 0.31 (95% CI 0.16 to 0.62, p=0.001)). The point estimate of the incremental cost effectiveness ratio (ICER) was £15,209.80 per QALY. Using 10,000 bootstrap replications, at the lower bound of the NICE threshold of £20,000 per QALY, there was a 61% probability of Exergames being cost-effective, rising to 73% at the upper bound of £30,000 per QALY. Conclusions: Exergames, as delivered in this trial, improve balance, pain and fear of falling and are a cost-effective fall prevention strategy in assisted living facilities for people aged 55 years or older