morphology analysis
Recently Published Documents


TOTAL DOCUMENTS

417
(FIVE YEARS 95)

H-INDEX

34
(FIVE YEARS 3)

2021 ◽  
Vol 2083 (2) ◽  
pp. 022085
Author(s):  
Yue Zhao ◽  
Weimin Long ◽  
Sujuan Zhong ◽  
Luyi Wang

Abstract The effect of KHF2 addition on silver brazing flux was studied in this paper. Results showed that the melting temperature of brazing flux would sustainably decrease with the increasing content of KHF2. KF could not be completely replaced by KHF2 in the brazing flux because it could restrain excessive spreadability, which was resulted from KHF2. F element in the flux replaced O element to form Fe2F5.


2021 ◽  
Vol 2083 (2) ◽  
pp. 022015
Author(s):  
Yuxiang Liu

Abstract MOF materials are new types of nanozymes with catalytic activities. Herein, a nanozyme with peroxidase-like activities was synthesized and took on a cube-like morphology. Besides, the best environment and the detection limit of the nanozyme for hydrogen peroxide were also achieved through experiments.


2021 ◽  
Vol 10 (3) ◽  
Author(s):  
Samantha Liu ◽  
Pranav Eswaran ◽  
Shyamal Mitra

This paper is a discussion of our analysis of galaxy clustering using an algorithmic approach. Our algorithmic galaxy clustering analysis and galaxy morphology analysis produced promising results in identifying galaxy clusters at different scales, and we used these clusters to draw correlations between cluster membership and galaxy properties such as size and color. We also compare our work in algorithmic galaxy clustering to existing work using machine learning, showing where our results are consistent with previous work, and where they differ from previous work. Overall, we found our research to be insightful into how algorithms perform when finding clusters of galaxies, and we find many possible follow up questions to explore in the future.


Water ◽  
2021 ◽  
Vol 13 (18) ◽  
pp. 2480
Author(s):  
Heejun Kang ◽  
Saerom Park ◽  
Bokjin Lee ◽  
Jaehwan Ahn ◽  
Seogku Kim

Sewage treatment can remove more than 90% of microplastics, yet large amounts of microplastics are discharged into the ocean. Because microfibers (MFs), primarily generated from the washing of synthetic clothes, are the most abundant type of microplastics among various microplastics detected in the sewage treatment, reducing the amount of MFs entering these treatment plants is necessary. This study aimed to test whether the amount of MFs released from the washing process can be reduced by applying a chitosan pretreatment to the garments before washing. Before the chitosan pretreatment, the polyester clothes released 148 MFs/L, whereas 95% of MFs were reduced after the chitosan pretreatment with 0.7% of chitosan solution. The chitosan pretreatment was applied to other types of garments, such as polyamide and acrylic garments, by treating them with 0.7% of chitosan solution; subsequently, MFs reduced by 48% and 49%, respectively. A morphology analysis conducted after washing revealed that chitosan coating on the polyamide and acrylic were more damaged than on polyester, suggesting that the binding strength of polyamide and acrylic with chitosan was weaker than that of polyester garment. Thus, the results suggested that the chitosan pretreatment might be a promising solution for reducing the amount of MFs generated in the laundering process.


2021 ◽  
pp. canres.0482.2021
Author(s):  
Yinxi Wang ◽  
Kimmo Kartasalo ◽  
Philippe Weitz ◽  
Balazs Acs ◽  
Masi Valkonen ◽  
...  

Author(s):  
Mecit Yüzkat ◽  
Hamza Osman Ilhan ◽  
Nizamettin Aydin

Open Biology ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 210045
Author(s):  
Devin Clarke ◽  
Hans S. Crombag ◽  
Catherine N. Hall

Changes in microglial morphology are powerful indicators of the inflammatory state of the brain. Here, we provide an open-source microglia morphology analysis pipeline that first cleans and registers images of microglia, before extracting 62 parameters describing microglial morphology. It then compares control and ‘inflammation’ training data and uses dimensionality reduction to generate a single metric of morphological change (an ‘inflammation index’). This index can then be calculated for test data to assess inflammation, as we demonstrate by investigating the effect of short-term high-fat diet consumption in heterozygous Cx3CR1-GFP mice, finding no significant effects of diet. Our pipeline represents the first open-source microglia morphology pipeline combining semi-automated image processing and dimensionality reduction. It uses free software (ImageJ and R) and can be applied to a wide variety of experimental paradigms. We anticipate it will enable others to more easily take advantage of the powerful insights microglial morphology analysis provides.


2021 ◽  
Author(s):  
Ian Herzog ◽  
Anushka Udara Abeysekara ◽  
Andrea Albert ◽  
Ruben Alfaro ◽  
César Alvarez ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document