56 research outputs found

    ICT tools patterns of use among Malaysian ESL undergraduates

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    The proposal to undertake major reforms in universities to cater to the need of the so-called “digital natives” has revealed the belief that there is a homogenous generation of university students highly skilled in the usage of technology is untrue. Instead these students seem more inclined to use technology for social rather than academic purposes. In Malaysia, the use of technology in learning English as Second Language (ESL) has generally been well received. However the characteristics of the “digital natives” have not been clearly defined until recently when Thang et al. (2014) undertook a study to investigate patterns of ICT use of students in a public university in Malaysia. Their findings are somewhat similar to those of other countries but they differ in that they found students show a preference for the teachercentred approach. The current study extends on this by undertaking a study involving four different types of public universities. A questionnaire designed by the research team was used to collect data which were analysed quantitatively using SPSS. The findings revealed that students from all four universities generally felt that technology is useful for learning ESL. However, their usage is more for recreation than for learning ESL. It further revealed that the teachers used technology only moderately, but the students still felt that their teachers are competent in the use of technology. This shows their unwillingness to criticize their teachers openly. However, there were some variations which suggest that students from older research universities are more self-reliant and students from newer universities are more receptive to the use of technology for learning ESL

    The investigation of conduction current characteristics of segmented PU elastomers

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    Polyurethane elastomers (PUs) are a class of multi-phase copolymers commonly composed of polyester or polyether soft segments and urethane hard segments. Microphase separation caused by the thermodynamic incompatibility of the soft segments and the hard segments is believed as the structural basis for many unique properties of PUs, such as shape memory and self-healing. PU is one of the most promising polymers to develop into a new generation of smart self-healing polymer dielectrics due to its shape memory effect and tailor characteristics. Conduction current is not only a basic parameter of dielectrics, but also can reflect many microscopic characteristics of the carrier transport process, which is widely used to investigate the electrical behavior of dielectric materials. The aim of this paper is to report on the conduction current characteristics of segmented PUs. PUs with 50% hard segment content were synthesized with polyether polyol, 4, 4-diphenylmethane diisocyanate (MDI) and 1,4-butanediol (BDO) by a two-step method. The hydrogen bonding interaction of the microphase separation interface is evaluated by the deconvolution of the FT-IR spectra in the carbonyl stretching regions and the amino stretching regions. The charging and discharging behavior of the PU under the applied electrical field strength from 0.2 kV/mm to 1.4 kV/mm is investigated. The results shows that the unique microphase separation structure of PU is a significant reason of interface polarization, leading to an increase in its transient current, which is different from the continuous decay trend of transient currents in most other polymer dielectrics. Meanwhile, when the applied electrical field strength is greater than 1 kV/mm, the measured conduction current is affected by space charge injection, and the discharging current curve shows an increasing peak of heteropolar charge

    ICT tools patterns of use among Malaysian ESL undergraduates

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    The proposal to undertake major reforms in universities to cater to the need of the so-called “digital natives” has revealed the belief that there is a homogenous generation of university students highly skilled in the usage of technology is untrue. Instead these students seem more inclined to use technology for social rather than academic purposes. In Malaysia, the use of technology in learning English as Second Language (ESL) has generally been well received. However the characteristics of the “digital natives” have not been clearly defined until recently when Thang et al. (2014) undertook a study to investigate patterns of ICT use of students in a public university in Malaysia. Their findings are somewhat similar to those of other countries but they differ in that they found students show a preference for the teacher-centred approach. The current study extends on this by undertaking a study involving four different types of public universities. A questionnaire designed by the research team was used to collect data which were analysed quantitatively using SPSS. The findings revealed that students from all four universities generally felt that technology is useful for learning ESL. However, their usage is more for recreation than for learning ESL. It further revealed that the teachers used technology only moderately, but the students still felt that their teachers are competent in the use of technology. This shows their unwillingness to criticize their teachers openly. However, there were some variations which suggest that students from older research universities are more self-reliant and students from newer universities are more receptive to the use of technology for learning ESL

    Emotional Intelligence, Math Anxiety and Math Performance in Malaysia

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    This study aims to investigate how Trait Emotional Intelligence (TEI) and mathematics anxiety could impact on math performance in a public university in Malaysia. A quantitative study with a specific cohort of Cognitive Science students comprising the 2nd and 3rd year students were carried out. More than 90% of the samples in the cohort were sampled. The questionnaire contained a component on demographic component, and sections on math anxiety (MARSSV) and Trait emotional intelligence questionnaires (TEIQue). The performance of the students in this study was measured by the mean score of math subjects. The result of the study showed that math performance was adversely related to math anxiety. However, Trait EI did not appear to influence math performance and neither did it have an impact on math anxiety. This finding is important as it suggests that more works need to be done to determine the leading predictor of math anxiety in the Malaysian context for subsequent effective intervention. This is among the very few study which explores the relationship between emotional self-efficacy using TEIQue, even though more than 2000 studies had been carried out using TEIQue (Trait Emotional Intelligence Questionaire)

    Investigating the ICT Needs of ‘Digital Natives’ in the Learning of English in a Public University in East Malaysia

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    This paper examined the undergraduates‟ patterns and perceptions of technology use in the teaching and learning of English in an attempt to throw further light into the current debate of the need to change the knowledge content and method of delivery in universities to cater to the needs of “digital natives.� A questionnaire survey was used to collect data and was analysed quantitatively through the use of descriptive and inferential statistics. Findings revealed a large majority of the university students surveyed are comfortable with the use of technology, and are incorporating a range of traditional and emerging technologies in their daily and academic lives. However, areas where the use of and familiarity with technology based tools are far from universal or uniform among the students, implying that any effort to optimise the use of technology in language teaching and learning in the university has to be appropriate to the learning environment

    Atrial Fibrillation and the Prognostic Performance of Biomarkers in Heart Failure

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    BACKGROUND: Consideration of circulating biomarkers for risk stratification in heart failure (HF) is recommended, but the influence of atrial fibrillation (AF) on prognostic performance of many markers is unclear. We investigated the influence of AF on the prognostic performance of circulating biomarkers in HF. METHODS: N-terminal pro-B-type natriuretic peptide (NT-proBNP), mid-regional-pro-atrial natriuretic peptide, C-type natriuretic peptide (CNP), NT-proCNP, high-sensitivity troponin-T, high-sensitivity troponin-I, mid-regional-propeptide adrenomedullin, co-peptin, growth differentiation factor-15, soluble Suppressor of Tumorigenicitiy (sST2), galectin-3, and procalcitonin plasma concentrations were measured in a prospective, multicenter study of adults with HF. AF was defined as a previous history of AF, and/or presence of AF/flutter on baseline 12-lead electrocardiogram. The primary outcome was the composite of HF-hospitalization or all-cause mortality at 2 years. RESULTS: Among 1099 patients (age 62 +/- 12years, 28% female), 261(24%) patients had AF. Above-median concentrations of all biomarkers were independently associated with increased risk of the primary outcome. Significant interactions with AF were detected for galectin-3 and sST2. In considering NT-proBNP for additive risk stratification, sST2 (adjusted hazard ratio [AHR]1.85, 95%confidence interval [C.I.] 1.17-2.91) and galectin-3 (AHR1.85, 95%C.I. 1.09-2.45) were independently associated with increased primary outcome only in the presence of AF. The prognostic performance of sST2 was also stronger in AF for all-cause mortality (AF: AHR2.82, 95%C.I. 1.26-6.21; non-AF: AHR1.78, 95% C.I. 1.14-2.76 without AF), while galectin-3 predicted HF-hospitalization only in AF (AHR1.64, 95%C.I. 1.03-2.62). CONCLUSIONS: AF modified the prognostic utility of selected guideline-endorsed HF-biomarkers. Application of markers for prognostic purposes in HF requires consideration of the presence or absence of AF

    Linear B-cell epitopes in the spike and nucleocapsid proteins as markers of SARS-CoV-2 exposure and disease severity

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    BACKGROUND Given the unceasing worldwide surge in COVID-19 cases, there is an imperative need to develop highly specific and sensitive serology assays to define exposure to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). METHODS Pooled plasma samples from PCR positive COVID-19 patients were used to identify linear B-cell epitopes from a SARS-CoV-2 peptide library of spike (S), envelope (E), membrane (M), and nucleocapsid (N) structural proteins by peptide-based ELISA. Hit epitopes were further validated with 79 COVID-19 patients with different disease severity status, 13 seasonal human CoV, 20 recovered SARS patients and 22 healthy donors. FINDINGS Four immunodominant epitopes, S14P5, S20P2, S21P2 and N4P5, were identified on the S and N viral proteins. IgG responses to all identified epitopes displayed a strong detection profile, with N4P5 achieving the highest level of specificity (100%) and sensitivity (>96%) against SARS-CoV-2. Furthermore, the magnitude of IgG responses to S14P5, S21P2 and N4P5 were strongly associated with disease severity. INTERPRETATION IgG responses to the peptide epitopes can serve as useful indicators for the degree of immunopathology in COVID-19 patients, and function as higly specific and sensitive sero-immunosurveillance tools for recent or past SARS-CoV-2 infections. The flexibility of these epitopes to be used alone or in combination will allow for the development of improved point-of-care-tests (POCTs)

    Antibody response of heterologous vs homologous mRNA vaccine boosters against the SARS-CoV-2 Omicron variant: interim results from the PRIBIVAC study, A Randomized Clinical Trial

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    Abstract Background Waning antibody levels post-vaccination and the emergence of variants of concern (VOCs) capable of evading protective immunity has raised the need for booster vaccinations. However, which combination of COVID-19 vaccines offers the strongest immune response against Omicron variant is unknown. Methods This randomized, subject-blinded, controlled trial assessed the reactogenicity and immunogenicity of different COVID-19 vaccine booster combinations. 100 BNT162b2-vaccinated individuals were enrolled and randomized 1: 1 to either homologous (BNT162b2 + BNT162b2 + BNT162b2; ‘BBB’) or heterologous mRNA booster vaccine (BNT162b2 + BNT162b2 + mRNA-1273; ‘BBM’). Primary endpoint was the level of neutralizing antibodies against SARS-CoV-2 wild-type and VOCs at Day 28. Results 51 participants were allocated to BBB and 49 to BBM; 50 and 48 respectively were analyzed for safety and immunogenicity outcomes. At Day 28 post-boost, mean SARS-CoV-2 spike antibody titers were lower with BBB (22,382  IU/mL 95% CI, 18,210 to 27,517) vs BBM (29,751  IU/mL 95% CI, 25,281 to 35,011, p = 0.034) as was the median level of neutralizing antibodies: BBB 99.0% (IQR 97.9 to 99.3%) vs BBM 99.3% (IQR 98.8 to 99.5%, p = 0.021). On sub-group analysis, significant differences in mean spike antibody titer and live Omicron neutralization titer was only observed in older adults. Median surrogate neutralizing antibody level against all VOCs was also significantly higher with BBM in older adults, and against Omicron was BBB 72.8% (IQR 54.0 to 84.7%) vs BBM 84.3% (IQR 78.1 to 88.7%, p = 0.0073). Both vaccines were well tolerated. Conclusions Heterologous mRNA-1273 booster vaccination induced a stronger neutralizing response against the Omicron variant in older individuals compared with homologous BNT123b2. </jats:sec
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