ABSTRACT
The global outbreak of COVID-19 has been affecting consumer behavior in a significant way. The collaborative consumption businesses, such as online rental services, is one of those sectors that have been immensely disrupted by the pandemic because many 'sharing' services require high touch and human contact. The purpose of this study is to develop and test a comprehensive model of consumers' acceptance of online apparel renting (OAR) that can also take account of the pandemic's effect. To this end, a two-phase, mixed-method study was conducted to identify the specific determinants of OAR (Study 1) and to empirically test the model of OAR acceptance with the pandemic-related moderating variables (Study 2). This study identifies a series of consumer drivers of OAR including affordable access, shopping convenience, try before you buy, never wear same dress twice, and special occasion. It also demonstrates the significant moderating effects of two pandemic-related factors including perceived vulnerability to disease and desire for simplification. The findings provide practical managerial suggestions to OAR retailers and theoretical implications for future studies.
ABSTRACT
Nanoscale plasmonic hotspots play a critical role in the enhancement of molecular Raman signals, enabling the sensitive and reliable trace analysis of biomedical molecules via surface-enhanced Raman spectroscopy (SERS). However, effective and label-free SERS diagnoses in practical fields remain challenging because of clinical samples' random adsorption and size mismatch with the nanoscale hotspots. Herein, we suggest a novel SERS strategy for interior hotspots templated with protein@Au core–shell nanostructures prepared via electrochemical one-pot Au deposition. The cytochrome c and lysates of SARS-CoV-2 (SLs) embedded in the interior hotspots were successfully functionalized to confine the electric fields and generate their optical fingerprint signals, respectively. Highly linear quantitative sensitivity was observed with the limit-of-detection value of 10−1 PFU/mL. The feasibility of detecting the targets in a bodily fluidic environment was also confirmed using the proposed templates with SLs in human saliva and nasopharyngeal swabs. These interior hotspots templated with the target analytes are highly desirable for early and on-site SERS diagnoses of infectious diseases without any labeling processes.
ABSTRACT
During the COVID-19 pandemic, there was a growing awareness about the importance of building a health and safety net based on digital healthcare systems, such as ICT-based local community online services and patient monitoring technology. This study was conducted with the aim of evaluating the formative usability of a three-way digital healthcare system, which had been developed to build a health and safety net for people with disabilities and deriving the directions for system improvement in order for them to be used as basic data for further system enhancement. A formative usability evaluation of a three-way digital healthcare system was performed with the participation of 43 healthcare professionals, using the 10-item System Usability Scale (SUS) and five items for satisfaction evaluation. Each item was rated on a five-point Likert scale, with the result converted to a scale of 100. Analysis was performed using the average score and the acceptable system usability level. The overall mean SUS score was 62.4, which corresponds to Grade D according to the SUS grading scale, and the below-average items were complexity (Q2), convenience (Q8), simplicity (Q3), professionalism (technician support, prior learning) (Q4, Q10), and learnability (Q7). The overall mean user satisfaction was 71.2 points, where overall satisfaction, system architecture and understandability, and continuous use intention were marked with below-average scores. The SUS D grade is interpreted as "fair" and the water solubility is "almost acceptable". For the usability enhancement of the newly developed a three-way digital healthcare system, the overall direction for system architecture improvement was analyzed centering on complexity (Q2), convenience (Q8), professionalism (technician support, prior learning) (Q4, Q10), learnability (Q7), and simplicity (Q3). Efforts need to be directed at enhancing system satisfaction and continuance rate by deriving detailed system improvement strategies and achieving system enhancement to reflect the opinions of not only experts but also users.
ABSTRACT
In recent decades, biomedical sensors based on surface-enhanced Raman spectroscopy (SERS), which reveals unique spectral features corresponding to individual molecular vibrational states, have attracted intensive attention. However, the lack of a system for precisely guiding biomolecules to active hotspot regions has impeded the broad application of SERS techniques. Herein, we demonstrate the irreversible active engineering of three-dimensional (3D) interior organo-hotspots via electrochemical (EC) deposition onto metal nanodimple (ECOMD) platforms with viral lysates. This approach enables organic seed-programmable Au growth and the spontaneous bottom-up formation of 3D interior organo-hotspots simultaneously. Because of the net charge effect on the participation rate of viral lysates, the number of interior organo-hotspots in the ECOMDs increases with increasingly positive polarity. The viral lysates embedded in the ECOMDs function as both a dielectric medium for field confinement and an analyte, enabling the highly specific and sensitive detection of SARS-CoV-2 lysates (SLs) at concentrations as low as 10–2 plaque forming unit/mL. The ECOMD platform was used to trace and detect the SLs in human saliva and diagnose severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2);the results indicate that the proposed platform can provide point-of-care diagnoses of infectious diseases.
ABSTRACT
Background and Objectives: The coronavirus disease (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), continues to be a pandemic even in 2022. As the initial symptoms of COVID-19 overlap with those of infections from other respiratory viruses, an accurate and rapid diagnosis of COVID-19 is essential for administering appropriate treatment to patients. Currently, the most widely used method for detecting respiratory viruses is based on real-time polymerase chain reaction (PCR) and includes reverse-transcription real-time quantitative PCR (RT-qPCR). However, RT-qPCR assays require sophisticated facilities and are time-consuming. This study aimed to develop a real-time quantitative loop-mediated isothermal amplification (RT-qLAMP) assay and compare its analytical performance with RT-qPCR. Materials and Methods: A total of 315 nasopharyngeal swabs from patients with symptoms of respiratory infections were included in this study. A primary screening of the specimens was performed using RT-qPCR. RNA/DNA from standard strains for respiratory viruses and heat-inactivated preparations of standard strains for SARS-CoV-2 were used to evaluate the accuracy and target specificity of the RT-qLAMP assay. Results: We successfully developed an RT-qLAMP assay for seven respiratory viruses: respiratory syncytial virus (RSV) A, RSV B, adenovirus, influenza (Flu) A (H1N1 and H3N2), Flu B, and SARS-CoV-2. RT-qLAMP was performed in a final reaction volume of 9.6 µL. No cross-reactivity was observed. Compared with the RT-PCR results, the sensitivity and specificity of the RT-qLAMP assay were 95.1% and 100%, respectively. The agreement between the two methods was 97.1%. The median amplification time to RT-qLAMP positivity was 22:34 min (range: 6:80-47:98 min). Conclusions: The RT-qLAMP assay requires a small number of reagents and samples and is performed with an isothermal reaction. This study established a fast, simple, and sensitive test that can be applied to point-of-care testing devices to facilitate the detection of respiratory viruses, including SARS-CoV-2.