This study proposes a unified theoretical model to integrate the full spectrum of Self-Determination Theory, self-efficacy, and the Technology Acceptance Model in understanding the acceptance of technology enhanced learning among university students during the Covid-19 pandemic. In the proposed theoretical model, 7 hypotheses were tested to understand the acceptance of technology enhanced learning. A total of 303 university students participated in this study. The Heterotrait-Monotrait (HTMT) ratio of correlation was applied to measure Discriminant Validity for the Covariance-Based Structural Equation Model. Based on the results, the unified theoretical model provided better insight to understanding acceptance of technology enhanced learning (R2 = .71). Intrinsic motivation (IM), amotivation, motivation, and technology enhanced self-efficacy (TELSE) were identified as significant determinants of students' perceived ease of use (PEU). Amotivation, motivation and TELSE were significant determinants of students' perceived usefulness (PU) towards technology enhanced learning. During the Covid-19 pandemic, students had internalised external regulation and identified regulation. The empirical results also revealed that the relationship between amotivation and PEU were moderated by gender. Gender also played a role in moderating the effects of amotivation and motivation relationships towards PU. However, the relationships between IM and motivation toward PEU and TELSE to PU were vulnerable towards the moderating effects of gender and students' field of study. In conclusion, students' view on technology acceptance have changed since the pandemic, therefore, their participation in design, development, and implementation of learning resources is much needed than before to improve their psychological motivation.
Introduction: Critically-ill patients are commonly fed with EN via open system (OS) or closed system (CS). Several studies showed that patients on CS had received greater volume of EN compared to OS.
Objective: As there was no study conducted in Malaysia, hence this study is conducted to compare the energy and protein adequacy of both systems.
Methodology: This cohort prospective study was conducted in GICU (OS) and NICU/NHDW (CS) in Hospital Kuala Lumpur. Patients aged ≥18 years and fed by feeding pump in OS were included. Patients who were moribund or not given EN were excluded. Patients’ demographic data and disease severity score were collected on day 1 in ICU and followed for 5 days until decease or discharge. Adequacy was determined by percentage of energy/protein received from requirements.
Results: Fifty-five patients were included (25 OS and 30 CS) with mean aged 45.41±17.46 years old, 78.2% male and 65.5% Malay. The mean SAPS II, SOFA score and ICU LOS were 46.47±10.65, 8.60±3.64 and 9.24±7.91 days respectively. The ICU mortality was 20%. EN was started about 2.56±2.89 days after ICU admission and the mean adequacy of energy was 74.56±32.23%, while protein adequacy was and 69.15±35.78%. Compared with the CS, OS were significantly older than CS (51 years old vs 42.5 years old; p=0.035) and had a higher SOFA score (10 vs 7.5; p= 0.014). No difference in ICU LOS and mortality between group were found. Energy (45.64% vs 96.71%; p<0.001) and protein adequacy (38.78% vs 94.12%; p<0.001) were significantly higher in the CS than the OS.
Conclusion: CS as compared with OS may improve nutritional adequacy as CS delivered more 108% energy and 141% protein than OS. The difference in adequacy might be attributed to these factors; feeding method used in the system, patients’ characteristics and condition rather than the feeding system itself.
Keywords: enteral nutrition, critically-ill patients, open system, closed system, adequacy
In light of the increasing importance digital economy, the significance of computational thinking has grown exponentially, becoming imperative in both workplace and academic settings such as universities. This article addresses the critical need to comprehend the factors influencing the acceptance of computational thinking. The dataset introduces an extensive questionnaire comprising five constructs and 25 items, rooted in the extended Technology Acceptance Model. Notably, the model incorporates facilitating conditions and subjective norm, providing a comprehensive framework for understanding acceptance. Data collection involved 132 undergraduate university students sampled through purposive sampling, specifically targeting courses with a focus on computational thinking. The resulting dataset serves as a valuable resource for future research, offering detailed insights into the factors determining the acceptance of technology in educational contexts beyond mere thinking skills. Given the scarcity of research on technology acceptance in developing nations, this dataset holds particular significance, serving as a foundation for potential cross-cultural comparisons. The dataset contributes to the field by presenting a robust acceptance model, explaining 74.2 per cent of the variance in behavioural intention, 60.2 per cent in perceived usefulness, and 56.1 per cent in perceived ease of use. This high explanatory power positions the dataset as a superior resource for replication, benchmarking, and broader applicability in diverse contexts, thereby enhancing the understanding of computational thinking acceptance across different populations and settings. This dataset stands among the pioneering efforts to assess the novel covariance-based structural equation model algorithm within SmartPLS 4, presenting a valuable resource for future research employing the same mechanism.
Strongyloides infection may develop into fatal hyperinfection and dissemination syndrome in immunocompromised hosts. Despite suboptimal specificity issues, the detection of IgG antibodies by ELISA has been central in the serodiagnosis of Strongyloides infection. Recently, an IgG4-based lateral-flow test (SsRapid) using recombinant NIE (rNIE) protein with good diagnostic performance has been reported. This study assessed the result concordance between a commercial IgG-ELISA and the SsRapid. Additionally, we determined the Strongyloides seroprevalence and its association with clinical manifestations. Immunocompromised patients (N = 200) were from Hospital Canselor Tuanku Muhriz, Kuala Lumpur, Malaysia, and were diagnosed with HIV/AIDS, hematological malignancy, and solid organ cancers. Their plasma samples were tested using a commercial IgG-ELISA and SsRapid. A fair concordance (κ = 0.27-0.33; P < 0.05) among the tests was demonstrated. The SsRapid exhibited a significantly higher (P < 0.05) seroprevalence (10.5% [21/200]) compared with IgG-ELISA (7.5% [15/200]). After adsorption with rNIE, all SsRapid-positive samples tested negative with the rapid test, thus showing binding specificity. There was no significant association with clinical manifestations. This study revealed that SsRapid is a useful diagnostic tool for Strongyloides infection, and there is a notable seroprevalence among the immunocompromised patients.