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Objectives: This study investigated the effects of different postrinsing times and methods on the surface roughness, surface hardness, and degree of polymerization of materials manufactured via stereolithography (SLA).
Materials And Methods: A total of 288 disk-shaped specimens were manufactured using an SLA three-dimensional (3D) printer. The specimens were randomly divided into nine groups ( = 32) based on rinsing times and methods. The groups were categorized into three rinsing methods: automated, ultrasonic, and hand washing, with rinsing times of 5, 10, and 15 minutes using a 99% isopropanol alcohol as a solvent. Linear roughness (Ra) and area roughness (Sa) were measured using a 3D confocal laser microscopy; the roughness morphology was evaluated by using scanning electron microscopy. Vickers hardness (VHN) tests were performed using a Vickers microhardness tester. Fourier-transform infrared spectrometry was used to determine the degree of conversion of treated specimens.
Statistical Analysis: Data were statistically analyzed using two-way analysis of variance. The post hoc Tukey tests were conducted to compare the differences between groups ( < 0.05).
Results: The choice of the rinsing time and method affected the surface properties of the SLA photopolymer resin. The 15 minutes of ultrasonic method exhibited the highest Ra scores (0.86 ± 0.1 µm), while the 15 minutes of automated method presented the highest Sa scores (1.77 ± 0.35 µm). For the VHN test, the 15 minutes of ultrasonic method displayed the highest VHN score (18.26 ± 1.03 kgf/mm). For the degree of polymerization, the 15 minutes of automated method was initially identified as the most effective (87.22 ± 6.80).
Conclusion: To facilitate the overall surface roughness, surface hardness, and degree of polymerization, the optimal choice of postprocessing rinsing time and method for achieving a clear photopolymer resin was determined to be the ultrasonic method with a rinsing time of 15 minutes.
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http://dx.doi.org/10.1055/s-0044-1786866 | DOI Listing |
Sud Med Ekspert
January 2025
Russian University of Medicine, Moscow, Russia.
Unlabelled: In 2024, the 200th anniversary of the first domestic work devoted to the study of gunshot injury was celebrated.
Objective: To present little-known information from the biography of its author, Professor P.P.
Sud Med Ekspert
January 2025
Samara State Medical University, Samara, Russia.
Objective: To develop and implement a method for determining the postmortem interval and the marginal errors of its estimates under conditions of linearly varying external temperature in the format of an online application.
Material And Methods: A computer-assissted numerical search for the absolute minimum point of the objective function obtained from a system of nonlinear equations reflecting the results of double rectal or cranioencephalic thermometry of a corpse under conditions of linearly varying external temperature was carried out. The search algorithm was generalized to possible marginal errors in measuring the initial indicators of temperature and time.
J Med Internet Res
September 2025
School of Pharmacy, Sungkyunkwan University, Gyeonggi-do, Republic of Korea.
Background: Owing to the unique characteristics of digital health interventions (DHIs), a tailored approach to economic evaluation is needed-one that is distinct from that used for pharmacotherapy. However, the absence of clear guidelines in this area is a substantial gap in the evaluation framework.
Objective: This study aims to systematically review and compare the economic evaluation literature on DHIs and pharmacotherapy for the treatment of depression.
JMIR Hum Factors
September 2025
KK Women's and Children's Hospital, Singapore, Singapore.
Background: Breast cancer treatment, particularly during the perioperative period, is often accompanied by significant psychological distress, including anxiety and uncertainty. Mobile health (mHealth) interventions have emerged as promising tools to provide timely psychosocial support through convenient, flexible, and personalized platforms. While research has explored the use of mHealth in breast cancer prevention, care management, and survivorship, few studies have examined patients' experiences with mobile interventions during the perioperative phase of breast cancer treatment.
View Article and Find Full Text PDFACS Sens
September 2025
METU MEMS Center, Ankara 06530, Türkiye.
Cardiovascular diseases (CVDs) remain a leading cause of death, particularly in developing countries, where their incidence continues to rise. Traditional CVD diagnostic methods are often time-consuming and inconvenient, necessitating more efficient alternatives. Rapid and accurate measurement of cardiac biomarkers released into body fluids is critical for early detection, timely intervention, and improved patient outcomes.
View Article and Find Full Text PDF