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Adolescents who are willing to perform first aid can help prevent injuries and ultimately death among themselves and others involved in accidents or injuries. This study aims to estimate the prevalence of students' willingness to perform first aid procedures and additionally examine associated factors among high school students in Hue, Vietnam. A cross-sectional study utilizing multi-stage stratified random sampling was conducted between April to July 2020 by investigating 798 high school students in Hue, Vietnam. Participants were invited to complete a self-reported questionnaire pertaining to individual demographic characteristics, personal perception of self-efficacy, and willingness to perform first aid. To better interpret these findings, both multivariable linear and Poisson regression models were fitted to evaluate the association between individual student characteristics and the willingness to perform first aid. The prevalence of having willingness to perform first aid (defined as [greater than or equal to]4 points out of 5 to all three questions) was 49.9% (95%CI:28.6-71.2%). The major reported barriers in performing first aid were fear of making mistakes and hurting victims (34.4%, 95%CI:31.9-37.0%), no prior first aid training (29.8%, 95%CI:25.9-33.9%), and forgetting first aid steps (23.0%, 95%CI:15.8-32.2%). By employing the multivariable linear regression model, it was identified that students with high ([beta] = 0.614, 95%CI:0.009-1.219) or very high ([beta] = 1.64, 95%CI:0.857-2.422) levels of self-efficacy appeared to be more willing to perform first aid. Similarly, in the Poisson regression models, compared to neutral students, students who reported high (PR = 1.214, 95%CI:1.048-1.407) or very high (PR = 1.871, 95%CI:1.049-3.337) levels of self-efficacy were more willing to perform first aid. The level of willingness to perform first aid among high school students in this study population was found to be moderate. Therefore, integrating activities to promote self-efficacy in first aid training could be considered a progressive step towards improving a student's willingness to provide such life-saving procedures.

Tetrapod-quantum well (TW) with CdSe core and quantum wells in gradient alloyed CdSeS arms was synthesized using the one-pot colloidal method. The morphology, crystal structure, UV–vis absorption, photoluminescence (PL), and excitation power-dependent PL properties of TWs prepared within a 30 min reaction time were investigated. Their PL spectrum exhibited two emission peaks centered at 2.187 eV and 2.207 eV due to radiative transitions within the core and quantum wells, respectively. Analysis of the excitation power-dependent PL spectra showed that the core and quantum wells’ radiative recombination channels are independent up to the excitation power density of 2.29 × 10 2 mW cm −2 . At higher power densities, efficient carrier transfer from the quantum wells into the cores occurred. This can be explained by the state filling of quantum wells and the decreasing band gap energy of gradient alloyed CdSeS arms towards the CdSe core. This study demonstrates a simple, green, and cost-effective approach for synthesizing one-color and two-color tetrapods based on CdSe and CdSeS materials, as well as the recovery process in nanostructures with two emission channels under various excitation conditions. The results could help to design and prepare white-light-emitting tetrapod-double quantum wells for efficient light-emitting applications.

Background: Reconstruction of the proximal humerus after wide tumor resection is technically demanding, and traditional methods such as allograft–prosthetic composites, reverse shoulder arthroplasty, and metal implants are limited by graft unavailability, pediatric size mismatch, their high cost, and metal-related stress shielding. Polyether ether ketone (PEEK), with its modulus closer to cortical bone and radiolucency, offers a promising alternative. Building upon the success in craniomaxillofacial surgery and its favorable physical characteristics, we applied personalized 3D-printed PEEK implants for proximal humerus reconstruction. This study reports the first evidence of applying patient-specific 3D-printed PEEK implants in the proximal humerus. Methods: A retrospective cohort study was conducted on seven patients who underwent wide resection of primary malignant bone tumors of the proximal humerus, followed by reconstruction using patient-specific 3D-printed PEEK implants. Implant design was based on preoperative computed tomography (CT) imaging, incorporating contralateral humeral mirroring and computer-aided design. The implants were fabricated using fused deposition modeling (FDM) with medical-grade PEEK under stringent thermal control (nozzle temperature > 400 °C and heated build chamber), followed by a controlled annealing process to minimize internal stress, optimize polymer crystallinity, and enhance mechanical durability. Outcomes assessed included implant survival, oncologic control, shoulder range of motion, and functional outcomes measured using the Musculoskeletal Tumor Society (MSTS) score. The mean follow-up duration was 56.3 months. Results: All patient-specific PEEK implants were successfully manufactured and implanted with satisfactory geometric accuracy. Mechanical implant survival was 85.7% at final follow-up, with one implant fracture occurring at 28 months. No cases of deep infection, dislocation, loosening, or permanent neurovascular injury were observed. Local soft-tissue recurrence occurred in two patients (28.6%), without distant metastasis or tumor-related mortality. The limb-salvage rate was 100%. At final follow-up, the mean MSTS score was 23.0 ± 1.6. Shoulder motion was limited but comparable to outcomes reported for conventional anatomic megaprosthetic reconstructions. Conclusions: Patient-specific 3D-printed PEEK implants provide a feasible and oncologically safe option for proximal humerus reconstruction after tumor resection, with acceptable midterm implant survival and functional outcomes. The favorable elastic modulus and radiolucency of PEEK offer distinct biomechanical and imaging advantages over metallic implants. Further design optimization and larger prospective studies are warranted to enhance mechanical durability and functional restoration.

Digital Health Literacy (DHL) helps online users with navigating the infodemic and co-existing conspiracy beliefs to avoid mental distress and maintain well-being. We aimed to investigate the association between DHL and future anxiety (FA); and examine the potential mediation roles of information satisfaction and fear of COVID-19 (F-CoV). A web-based cross-sectional survey was carried out among 1631 Taiwanese university students aged 18 years and above from June 2021 to March 2022. Data collected were socio-demographic characteristics (sex, age, social status, university location), information satisfaction, F-CoV, DHL and FA (using Future Dark scale). The linear regression model was used to explore factors associated with FA. The pathway analysis was further used to evaluate the direct and indirect relationship between DHL and FA. A higher score of DHL (B = −0.21; 95% CI, −0.37, −0.06; p = 0.006), and information satisfaction (B = −0.16; 95% CI, −0.24, −0.08; p < 0.001) were associated with a lower FA score, whereas a higher F-CoV score was associated with a higher FA score (B = 0.43; 95% CI, 0.36, 0.50; p < 0.001). DHL showed the direct impact (B = −0.1; 95% CI, −0.17, −0.04; p = 0.002) and indirect impact on FA as mediated by information satisfaction (B = −0.04; 95% CI, −0.06, −0.01; p = 0.002) and F-CoV (B = −0.06, 95% CI, −0.08, −0.04; p < 0.001). Strategic approaches to promote DHL, information satisfaction, lower F-CoV are suggested to reduce FA among students.

To improve customer experience and achieve sustainable development, many industries, especially banking, have leveraged artificial intelligence to implement a chatbot into their customer service. By integrating DeLone and McLean’s information systems success (D&M ISS) model and the expectation confirmation model (ECM) with the factor of trust, the aim of this study was to investigate the determinants of users’ continuance intentions towards chatbot services in the context of banking in Vietnam. A total of 359 questionnaire surveys were collected from a real bank’s chatbot users and analyzed using structural equation modeling. The findings revealed that users’ continuance intentions towards the banks’ chatbot services were influenced by satisfaction, trust, and perceived usefulness, of which trust had the strongest effect. The results also indicate that information quality, system quality, service quality, and confirmation of expectations had significant effects on three drivers of continuance intention in different ways. Our study contributes to the literature by providing a more comprehensive viewpoint to understand the perceptions and reactions of chatbot users in the post-adoption stage. The results of this study also yield several key suggestions for banking service providers on how to increase their customers’ intentions to continue using chatbot services, serving as a basis for long-term and sustainable development strategies in the current digital era.

Background Digital health literacy (DHL) enables healthy decisions, improves protective behaviors and adherence to COVID-19 measures, especially during the era of the “infodemic”, and enhances psychological well-being. Objective We aimed to explore the mediating roles of fear of COVID-19, information satisfaction, and the importance of online information searching on the association between DHL and well-being. Methods A cross-sectional web-based survey was conducted among 1631 Taiwanese university students, aged 18 years and above, from June 2021 to March 2022. The collected data include sociodemographic characteristics (sex, age, social status, and financial satisfaction), the importance of online information searching, information satisfaction, fear of COVID-19, DHL, and well-being. A linear regression model was utilized to investigate factors associated with well-being, followed by a pathway analysis to assess the direct and indirect relationship between DHL and well-being. Results The scores of DHL and overall well-being were 3.1 ± 0.4 and 74.4 ± 19.7, respectively. Social status (B = 2.40, 95% confidence interval (CI) 1.73–3.07, p < 0.001), DHL (B 0.29, 95% CI 0.10–0.49, p < 0.001), importance of online information searching (B = 0.78, 95% CI 0.38–1.17, p < 0.001), and information satisfaction (B = 3.59, 95% CI 2.22–4.94, p < 0.001) were positively associated with well-being, whereas higher fear of COVID-19 scores (B = −0.38, 95% CI −0.55-(−0.21), p < 0.001) and female (B = −2.99, 95% CI −5.02–0.6, p = 0.004) were associated with lower well-being, when compared with lower fear scores and male, respectively. Fear of COVID-19 (B = 0.03, 95% CI 0.016–0.04, p < 0.001), importance of online information searching (B = 0.03, 95% CI 0.01–0.05, p = 0.005), and information satisfaction (B = 0.05, 95% CI 0.023–0.067, p < 0.001) were significantly mediated the relationship between DHL and well-being. Conclusion Higher DHL scores show direct and indirect associations with higher well-being scores. Fear, importance of online information searching, and information satisfaction significantly contributed to the association.

Our study aims to compare the pandemic resilience index and explore the associated factors during the Delta and Omicron variant periods. In addition, the study aims to identify the characteristics of countries that had good performances. We analyzed observation data among 29 countries over the first eight weeks during the two periods of Delta and Omicron variant dominance. Data were extracted from open public databases. The Omicron variant caused a lowered mortality rate per 100,000 COVID-19 patients; however, it is still imposing a colossal burden on health care systems. We found the percentage of the population fully vaccinated and high government indices were significantly associated with a better resilience index in both the Delta and Omicron periods. In contrast, the higher death rate of cancers and greater years lived with disability (YLD) caused by low bone density were linked with poor resilience index in the Omicron periods. Over two periods of Delta and Omicron, countries with good performance had a lower death rate from chronic diseases and lower YLD caused by nutrition deficiency and PM2.5. Our findings suggest that governments need to keep enhancing the vaccine coverage rates, developing interventions for populations with chronic diseases and nutrition deficiency to mitigate COVID-19 impacts on these targeted vulnerable cohorts.

Unintentional injury is the leading cause of death in adolescents especially in low-middle-income countries including Vietnam. However, there is limited evidence on first aid (FA) knowledge, attitude, and skills among Vietnamese adolescents. Our study aims to assess the knowledge, attitudes, and skills regarding FA; and evaluate how these domains improve after implementing FA training programs among high school students in Hue city. A single-group pre-post-intervention study was conducted on high school students between June and September 2020 in Hue City, Vietnam. The training materials were developed based on international guidance on FA and adjusted to a low-middle-income country context, particularly in Vietnam. The training program provided students with essential knowledge and skills focused on the management of common injuries in Vietnam to enhance a positive attitude toward FA. The students’ responses on FA knowledge and attitude were collected using self-reported questionnaires and FA skills were evaluated by skill checklists. At baseline (n = 806), the average score of FA knowledge, attitude, and skills over a 100-point scale were 44.0 (95% CI: 38.6, 49.5), 59.4 (95% CI: 55.5, 63.4) and 39.2 (95% CI: 35.8, 42.6) respectively. Following the intervention phase (n = 106), which included a 3-hour FA training session, a significant increase in FA skill scores was observed, with a mean difference of 37.0 points (SE: 1.6). The findings demonstrated the feasibility and significant impact of a short course of FA training on improving FA skills among high school students. The results of the multivariable regression model showed baseline scores of FA attitude, FA knowledge or having previous FA training were not significantly associated with the improvement in FA skill scores in this pre-post intervention. The study findings highlighted the low level of FA knowledge, attitude, and skills; and provided evidence of the effectiveness of FA training in improving FA skills among high school students in Hue City, Vietnam.

There is little knowledge about how the influence of non-pharmaceutical interventions (NPIs) reduces the COVID-19 infection rate during the period of vaccine rollout. This study aimed to examine the effectiveness of NPIs on decreasing the epidemic growth of COVID-19 between before and after the vaccine rollout period among Asian countries. Our ecological study included observations from 30 Asian countries over the 20 weeks of the pre- and post-vaccination period. Data were extracted from the Oxford COVID-19 Government Response Tracker and other open databases. Longitudinal analysis was utilized to evaluate the impacts of public health responses and vaccines. The facial covering policy was the most effective intervention in the pre-vaccination period, followed by border control and testing policies. In the post-vaccination period, restrictions on gatherings and public transport closure both play a key role in reducing the epidemic growth rate. Vaccine coverage of 1–5%, 5–10%, 10–30%, and over 30% of the population was linked with an average reduction of 0.12%, 0.32%, 0.31%, and 0.59%, respectively. Our findings support the evidence that besides the vaccine increasingly contributing to pandemic control, the implementation of NPIs also plays a key role.

Fingerprints have long been used in automated fingerprint identification or verification systems. Singular points (SPs), namely the core and delta point, are the basic features widely used for fingerprint registration, orientation field estimation, and fingerprint classification. In this study, we propose an adaptive method to detect SPs in a fingerprint image. The algorithm consists of three stages. First, an innovative enhancement method based on singular value decomposition is applied to remove the background of the fingerprint image. Second, a blurring detection and boundary segmentation algorithm based on the innovative image enhancement is proposed to detect the region of impression. Finally, an adaptive method based on wavelet extrema and the Henry system for core point detection is proposed. Experiments conducted using the FVC2002 DB1 and DB2 databases prove that our method can detect SPs reliably.