Acquisition of Entrepreneurial Competencies by Graduates of Technology Education for Sustainable Self-Employment in Enugu State

The central objective of this study was to determine the extent of acquisition of entrepreneurial competencies among graduates of technology education for sustainable self-employment in Enugu State. Three research questions and three null hypotheses were developed to guide the study. The study adopted descriptive survey research design. The study population of the study was 77 final year students in technology education programmes in public Universities in Enugu State. There was no sampling as the entire population was studied. The instrument for data collection was a 28-item structured questionnaire divided in two sub-categories based on the research questions that made for the study. The questionnaire items were structured in four-point rating scale. The questionnaire was validated by experts while the reliability of the instrument yielded 0.78 using Cronbach Alpha. Out of 77 copies of questionnaire distributed 72 copies were properly filled and returned giving 93.51% return rate. The data collected were analyzed using mean, standard deviation and t-test statistics. Based on the result of data analysis, the study found that there are low extent of acquisition of technical entrepreneurial competencies, managerial entrepreneurial competencies and interpersonal entrepreneurial competencies among graduates of technology education for sustainable self-employment in Enugu State. Based on the findings, recommendations were made among which include that the government and relevant bodies should provide facilities for teaching technical entrepreneurial competencies to the students for sustainable self-employment and technology educators teaching entrepreneurship should increase effort in the teaching of managerial and interpersonal competencies to the students of technology education for sustainable self-employment

Effects of methanol leaf extracts of Loranthus micranthus Linn from three host plants on some biochemical indices of diabetic rats

Purpose: To evaluate the effects of Loranthus micranthus leaf extracts from three host plants on the blood glucose, lipid profile and other biochemical indices of diabetic rats. Methods: The extracts of L. micranthus from Persea americana, Irvingia gabonensis and Cola acuminata were administered (orally at 200 mg/kg for 14 days) to alloxan-induced diabetic rats with glibenclamide serving as the standard drug. The fasting blood glucose (FBG), lipid profile, hematological indices and liver enzyme functions of the rats were determined. Phytochemical analysis of the extracts was carried out by standard methods. Results: The extracts reduced (p < 0.05) the FBG, low density lipoprotein (LDL), triglycerides and increased (p < 0.05) high density lipoprotein (HDL) and hematological parameters of the rats. However, there was no increase (p > 0.05) in liver enzymes. Phytochemical screening showed abundance of flavonoids, alkaloids, tannins and terpenoids. Conclusion: The study revealed that L. micranthus extracts from the three host plants possess antidiabetic, hypolipidemic and anti-anemic activities. Keywords: Anemia, Dyslipidemia, Enzymes, Hyperglycemia, Loranthus micranthus, Mistleto

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

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

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

Investigating the accessibility of crowdwork tasks on mechanical turk

Crowdwork can enable invaluable opportunities for people with disabilities, not least the work fexibility and the ability to work from home, especially during the current Covid-19 pandemic. This paper investigates how engagement in crowdwork tasks is afected by individual disabilities and the resulting implications for HCI. We frst surveyed 1,000 Amazon Mechanical Turk (AMT) workers to identify demographics of crowdworkers who identify as having various disabilities within the AMT ecosystem-including vision, hearing, cognition/mental, mobility, reading and motor impairments. Through a second focused survey and follow-up interviews, we provide insights into how respondents cope with crowdwork tasks. We found that standard task factors, such as task completion time and presentation, often do not account for the needs of users with disabilities, resulting in anxiety and a feeling of depression on occasion. We discuss how to alleviate barriers to enable efective interaction for crowdworkers with disabilities

A Study into the Integration of AR-based Data Collection and Multidimensional Signal Processing Methods for GB-SAR Target Detection

Structural health monitoring (SHM) is crucial in preserving the civil infrastructure asset and ensuring safety of the operations. Amongst the available SHM techniques, the ground-based synthetic aperture radar (GB-SAR) is one of the most reliable. However, a gap in knowledge with the use of this system exists when multiple targets are in the same acquisition range. The present study investigates into this aspect and proposes a two-stage procedure based on i) controlling the signal propagation characteristics during the data collection and ii) implementing advanced signal processing techniques to aid the interpretation of the measured signal. To this effect, three scenarios of interest are implemented in the laboratory environment, i.e., i) absence of targets, ii) presence of one target, and iii) presence of two targets in the centerline of the radar. The data collection is aided by augmented reality (AR), which allows to visualise the radar footprint and precisely control the acquisition according to the set scenarios. The collected data are processed using the empirical mode decomposition (EMD) and the Hilbert-Huang transform (HHT) techniques. The proposed methodology is shown to be effective in both the data control and processing stages. Results have proven that the signal response from multiple targets differs from that observed in the other investigated scenarios, hence showing potential for enhancing multi-target detection in structures with GB-SAR

Effects of hospital delivery during off-hours on perinatal outcome in several subgroups: a retrospective cohort study

Contains fulltext : 107710.pdf (publisher's version ) (Open Access)ABSTRACT: BACKGROUND: Studies have demonstrated a higher risk of adverse outcomes among infants born or admitted during off-hours, as compared to office hours, leading to questions about quality of care provide during off-hours (weekend, evening or night). We aim to determine the relationship between off-hours delivery and adverse perinatal outcomes for subgroups of hospital births. METHODS: This retrospective cohort study was based on data from the Netherlands Perinatal Registry, a countrywide registry that covers 99% of all hospital births in the Netherlands. Data of 449,714 infants, born at 28 completed weeks or later, in the period 2003 through 2007 were used. Infants with a high a priori risk of morbidity or mortality were excluded. Outcome measures were intrapartum and early neonatal mortality, a low Apgar score (5 minute score of 0-6), and a composite adverse perinatal outcome measure (mortality, low Apgar score, severe birth trauma, admission to a neonatal intensive care unit). RESULTS: Evening and night-time deliveries that involved induction or augmentation of labour, or an emergency caesarean section, were associated with an increased risk of an adverse perinatal outcome when compared to similar daytime deliveries. Weekend deliveries were not associated with an increased risk when compared to weekday deliveries. It was estimated that each year, between 126 and 141 cases with an adverse perinatal outcomes could be attributed to this evening and night effect. Of these, 21 (15-16%) are intrapartum or early neonatal death. Among the 3100 infants in the study population who experience an adverse outcome each year, death accounted for only 5% (165) of these outcomes. CONCLUSION: This study shows that for infants whose mothers require obstetric interventions during labour and delivery, birth in the evening or at night, are at an increased risk of an adverse perinatal outcomes