In order to improve the decorative properties of Magnesium-Glass-Board (MGB), the surface morphology and decoration performance of MGB, are studied in detail by using profilometer, microscope and SEM, and the influence of its characterization, such as surface roughness, surface porosity and wettability, on decorative properties of MGB is analyzed by comparing with medium density fiberboard (MDF) and medium density particleboard (MDP). The results first showed that the surface of MGB has a porous structure, but MDF and MDP are not, resulting in a poor decorative performance of MGB. Second, it is found that the surface wettability of MGB is better than others. Third, the hot-pressing parameters including pressure, temperature and time have different influence on decorative performance of MGB during hot-pressing experiment. Finally, the surface bonding strength is positively correlated with pressure, but not with temperature and time. In general, a higher surface bonding strength led to a better decorative performance of MGB. The furthermore research can concentrate on the modification method of the MGB's surface according to this paper's conclusion to improve the lamination performance of melamine paper.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10824443 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0296288 | PLOS |
J Am Soc Echocardiogr
January 2025
Division of Cardiology, Massachusetts General Hospital; Cardiac Ultrasound Laboratory, Massachusetts General Hospital; Cardiovascular Performance Program, Massachusetts General Hospital. Electronic address:
Pathogens
December 2024
Laboratory of Global Infectious Diseases Control Science, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan.
The proviral load (PVL) of the bovine leukemia virus (BLV) is a useful index for estimating disease progression and transmission risk. Real-time quantitative PCR techniques are widely used for PVL quantification. We previously developed a dual-target detection method, the "Liquid Dual-CoCoMo assay", that uses the coordination of common motif (CoCoMo) degenerate primers.
View Article and Find Full Text PDFWorld J Orthop
December 2024
Department of Orthopaedic Surgery, Massachusetts General Hospital, Boston, MA 02114, United States.
Background: Pes planus (flatfoot) and pes cavus (high arch foot) are common foot deformities, often requiring clinical and radiographic assessment for diagnosis and potential subsequent management. Traditional diagnostic methods, while effective, pose limitations such as cost, radiation exposure, and accessibility, particularly in underserved areas.
Aim: To develop deep learning algorithms that detect and classify such deformities using smartphone cameras.
Ann Surg Open
December 2024
Department of Surgery, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Objective: To compare nationwide outcomes of robotic liver resection (RLR) with laparoscopic liver resection (LLR).
Background: Minimally invasive liver resection is increasingly performed using the robotic approach as this could help overcome inherent technical limitations of laparoscopy. It is unknown if this translates to improved patient outcomes.
Pituitary
December 2024
Computational Neuroscience Outcomes Center, Harvard Medical School, Boston, Massachusetts, USA.
Purpose: The objective of this study was to characterize the clinical characteristics and factors predictive of biochemical remission in patients with symptomatic acromegaly undergoing transsphenoidal surgery (TSS) at an academic tertiary care center, as defined by the 2022 Acromegaly Consensus Conference guidelines.
Methods: In this single institution, longitudinal, retrospective study, a large cohort of 158 patients with a preoperative diagnosis of acromegaly undergoing surgery at a large, academic, tertiary care center were examined. We excluded 38 patients as IGF-1 testing was performed less than 12 weeks postoperatively.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!