METHODS: This research was done by searching PubMed, Embase, CINAHL, and Web of Science electronic databases from inception to August 18, 2023, to identify English-language articles. Data extraction, quality assessment, and literature screening were carried out independently by two researchers. The Cochrane risk of bias tool and the Methodological Items for Nonrandomized Studies (MINORS) tool were used to assess the risk of bias of the included studies. Meta-analysis was carried out using Review Manager (RevMan) version 5.3 software.
RESULTS: Eighteen studies involving 2274 nursing students met the inclusion criteria. Nursing students' skills (SMD = 0.43, 95 % CI [0.33, 0.54], P<0.00001), knowledge (SMD = 0.16, 95 % CI (0.02, 0.30], P = 0.02), satisfaction (SMD = 0.29, 95 % CI (0.10, 0.47], P < 0.01), and confidence (SMD = 0.56, 95 % CI [0.29, 0.83], P < 0.0001) were all significantly improved by the online teaching intervention compared with traditional face-to-face instruction. Self-efficacy (SMD = 0.1, 95 % CI [-0.13, 0.33], P = 0.41) was also improved, but the difference was not statistically significant.
CONCLUSION: Online learning is a novel and efficient approach to teaching practical skills to nursing students. Online education can enhance students' knowledge, skills, confidence, and learning satisfaction, and it is superior to traditional classroom instruction. The findings of this study can serve as a basis for the development of standardized online teaching techniques and assessment metrics.
METHODS: This study applies quantitative design using online survey to gather information from the online business entrepreneurs. The survey questionnaire was arranged to focus on the use of SEO as a new way to strategise online business.
RESULTS: Based on the results of this study, most online entrepreneurs have somewhat realised the effects of using the SEO strategy to enhance effectiveness of online brand positioning.
CONCLUSION: This research provides insights into the importance of SEO strategy in online business positioning. It is hoped that online entrepreneurs will consider the SEO strategy in the positioning of their brand in the marketplace.
IMPLICATION: This research focused on SEO as a new strategy to enhance brand positioning for online businesses. Future research may expand into another dimension of business such as customer satisfaction and business performance.
OBJECTIVE: The systematic review and meta-analysis aims to gather evidence regarding the effectiveness of EALs for WL determination when compared to different imaging techniques along with postoperative pain associated with WL determination, the number of radiographs taken during the procedure, the time taken, and the adverse effects.
METHODS: For the review, clinical studies with cross-over and parallel-arm randomized controlled trials (RCTs) were searched in seven electronic databases, followed by cross-referencing of the selected studies and related research synthesis. Risk of bias (RoB) assessment was carried out with Cochrane's RoB tool and a random-effects model was used. The meta-analysis was performed with the RevMan software 5.4.1.
RESULTS: Eleven eligible RCTs were incorporated into the review and eight RCTs into the meta-analysis, of which five had high RoB and the remaining six had unclear RoB. Following meta-analysis, no significant difference in postoperative pain was found among the EAL and radiograph groups (SMD 0.00, CI .29 to .28, 354 participants; P value = 0.98). Radiograph group showed better WL accuracy (SMD 0.55, CI .11 to .99, 254 participants; P value = 0.02), while the EAL group had 10% better WL adequacy (RR 1.10, CI 1.03-1.18, 573 participants; P value = 0.006).
CONCLUSION: We found very low-certainty evidence to support the efficacy of different types of EAL compared to radiography for the outcomes tested. We were unable to reach any conclusions about the superiority of any type of EAL. Well-planned RCTs need to be conducted by standardizing the outcomes and outcome measurement methods.
METHODS: In our paper, we propose a real-time, lightweight liver segmentation model named G-MBRMD. Specifically, we employ a Transformer-based complex model as the teacher and a convolution-based lightweight model as the student. By introducing proposed multi-head mapping and boundary reconstruction strategies during the knowledge distillation process, Our method effectively guides the student model to gradually comprehend and master the global boundary processing capabilities of the complex teacher model, significantly enhancing the student model's segmentation performance without adding any computational complexity.
RESULTS: On the LITS dataset, we conducted rigorous comparative and ablation experiments, four key metrics were used for evaluation, including model size, inference speed, Dice coefficient, and HD95. Compared to other methods, our proposed model achieved an average Dice coefficient of 90.14±16.78%, with only 0.6 MB memory and 0.095 s inference speed for a single image on a standard CPU. Importantly, this approach improved the average Dice coefficient of the baseline student model by 1.64% without increasing computational complexity.
CONCLUSION: The results demonstrate that our method successfully realizes the unification of segmentation precision and lightness, and greatly enhances its potential for widespread application in practical settings.
RESEARCH DESIGN AND METHODS: A dataset comprising 4359 thrombin inhibitors is used to scrutinize various categories of nitrogen atoms such as ring, non-ring, aromatic, and non-aromatic. In addition, selected aromatic and aliphatic N-heterocycles have been analyzed.
RESULTS: The analysis indicates that ~62% of thrombin inhibitors possess five or fewer nitrogen atoms. Substituted N-heterocycles have a high occurrence, like pyrrolidine (23.24%), pyridine (20.56%), piperidine (16.10%), thiazole (9.61%), imidazole (7.36%), etc. in thrombin inhibitors.
CONCLUSIONS: The majority of active thrombin inhibitors contain nitrogen atoms close to 5 and a combination of N-heterocycles like pyrrolidine, pyridine, piperidine, etc. This analysis provides crucial insights to optimize the transformation of lead compounds into potential anti-thrombin inhibitors.
AIMS OF STUDY: This review aims to provide a comprehensive overview of the mechanisms involved in wound healing, description of the attributes of ideal wound dressings, understanding of wound healing efficacy of collagen, exploring NPs-mediated drug delivery mechanisms in wound therapy, detailing the synthesis and fabrication techniques of collagen-based NPs, and delineating the applications of various collagen-based NPs infused wound dressings on wound healing.
METHODOLOGY: This review synthesizes relevant literature from reputable databases such as Scopus, Science Direct, Google Scholar, and PubMed.
RESULTS: A diverse array of collagen-based NPs, including nanopolymers, metal NPs, nanoemulsions, nanoliposomes, and nanofibers, demonstrate pronounced efficacy in promoting wound closure and tissue regeneration. The incorporation of collagen-based NPs has not only become an agent for the delivery of therapeutics but also actively contributes to the wound healing cascade.
CONCLUSION: In conclusion, In brief, the use of collagen-based NPs presents a compelling strategy for expediting wound healing processes.