A Giemsa Stain of Quite Constant Composition and Performance, Made in the Laboratory from Eosin and Methylene Blue

1943 ◽  
Vol 58 (11) ◽  
pp. 449 ◽  
Author(s):  
R. D. Lillie
Keyword(s):  
Methylene Blue ◽  
Giemsa Stain ◽  
Constant Composition ◽  
And Performance ◽  
Made In

scholarly journals Design and Performance of Novel Self-Cleaning g-C3N4/PMMA/PUR Membranes

Polymers ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 850 ◽  
Author(s):  
Ladislav Svoboda ◽  
Nadia Licciardello ◽  
Richard Dvorský ◽  
Jiří Bednář ◽  
Jiří Henych ◽  
...  
Keyword(s):  
Methylene Blue ◽  
Thin Layers ◽  
Photocatalytic Reaction ◽  
Potential Toxicity ◽  
Material Loss ◽  
Contaminant Control ◽  
Biological Contaminant ◽  
Self Cleaning ◽  
And Performance ◽  
Photocatalytic Applications

In the majority of photocatalytic applications, the photocatalyst is dispersed as a suspension of nanoparticles. The suspension provides a higher surface for the photocatalytic reaction in respect to immobilized photocatalysts. However, this implies that recovery of the particles by filtration or centrifugation is needed to collect and regenerate the photocatalyst. This complicates the regeneration process and, at the same time, leads to material loss and potential toxicity. In this work, a new nanofibrous membrane, g-C3N4/PMMA/PUR, was prepared by the fixation of exfoliated g-C3N4 to polyurethane nanofibers using thin layers of poly(methyl methacrylate) (PMMA). The optimal amount of PMMA was determined by measuring the adsorption and photocatalytic properties of g-C3N4/PMMA/PUR membranes (with a different PMMA content) in an aqueous solution of methylene blue. It was found that the prepared membranes were able to effectively adsorb and decompose methylene blue. On top of that, the membranes evinced a self-cleaning behavior, showing no coloration on their surfaces after contact with methylene blue, unlike in the case of unmodified fabric. After further treatment with H2O2, no decrease in photocatalytic activity was observed, indicating that the prepared membrane can also be easily regenerated. This study promises possibilities for the production of photocatalytic membranes and fabrics for both chemical and biological contaminant control.

Fe3O4 Magnetic Nanoparticles: Characterization and Performance Exemplified by the Degradation of Methylene Blue in the Presence of Persulfate

2016 ◽  
Vol 19 (1) ◽  
Author(s):  
Chang-Mao Hung ◽  
Chiu-Wen Chen ◽  
Yu-Zhe Jhuang ◽  
Cheng-Di Dong
Keyword(s):  
Methylene Blue ◽  
Iron Oxide ◽  
Magnetic Nanoparticles ◽  
Fe3o4 Magnetic Nanoparticles ◽  
Iron Oxide Magnetic Nanoparticles ◽  
Nanoparticles Characterization ◽  
And Performance

AbstractIn this study, the oxidation of methylene blue (MB) over iron oxide magnetic nanoparticles (Fe

A Stochastic Approach to Risk Management and Decision Making in Defined Benefit Pension Schemes

2003 ◽  
Vol 9 (3) ◽  
pp. 493-586 ◽  
Author(s):  
S. Haberman ◽  
C. Day ◽  
D. Fogarty ◽  
M. Z. Khorasanee ◽  
M. McWhirter ◽  
...  
Keyword(s):  
Decision Making ◽  
Performance Measures ◽  
Asset Allocation ◽  
Stochastic Approach ◽  
Free Variable ◽  
Defined Benefit ◽  
Contribution Rate ◽  
And Performance ◽  
Allocation Decisions ◽  
Made In

ABSTRACTThe trustees and sponsors of defined benefit schemes rely on the advice of the Scheme Actuary to make important decisions concerning the funding of the scheme, the investment of its assets, and the use of surplus assets to improve benefits. These decisions have to be made in the face of considerable uncertainty about financial and demographic factors that will affect the future experience of the scheme and its success in meeting various objectives.The traditional actuarial valuation combined with actuarial judgement has played an important role in guiding decision making; but we argue that stochastic methods can add value in certain crucial areas, in particular the financial risk management of defined benefit schemes. Rather than dealing with risk by incorporating margins in the valuation basis, a stochastic approach allows the actuary to evaluate specific and quantifiable risk and performance measures for alternative funding and investment strategies.This paper recommends a framework that, when combined with a suitable stochastic model, measures the risks inherent in contribution rate and asset allocation decisions, allowing better decisions to be made. In doing this, we suggest and apply various risk and performance measures that may be thought appropriate, although our intention is to illustrate their use rather than prescribe them as objective standards. The framework provides the means to explore the trade-offs involved in possible contribution and asset allocation decisions, and points to decision strategies expected to give improved outcomes for the same level of risk. A feature of the approach that marks it out from current asset/liability techniques is that it examines the funding and investment decisions together. It does not derive a contribution rate in the traditional way, but leaves this as free variable, in the same way that the investment decision is taken to be a free variable. Another distinctive feature of our framework is that it is based on projection rather than on valuation, involving stochastic simulation of the experience of the scheme over a time horizon reflecting the concerns of the trustees and the sponsoring employer.The paper provides a case study (based on a model final salary pension scheme) showing the advantages of the framework, and goes on to explain how the results may practically be communicated to trustees and scheme sponsors.

scholarly journals The personality trait of behavioral inhibition modulates perceptions of moral character and performance during the trust game: behavioral results and computational modeling

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e1631 ◽  
Author(s):  
Milen L. Radell ◽  
Rosanna Sanchez ◽  
Noah Weinflash ◽  
Catherine E. Myers
Keyword(s):  
Computational Modeling ◽  
Personality Trait ◽  
Behavioral Inhibition ◽  
Moral Character ◽  
Self Report ◽  
Trust Game ◽  
Partner Characteristics ◽  
And Performance ◽  
Entire Amount ◽  
Made In

Decisions based on trust are critical for human social interaction. We judge the trustworthiness of partners in social interactions based on a number of partner characteristics as well as experiences with those partners. These decisions are also influenced by personality. The current study examined how the personality trait of behavioral inhibition, which involves the tendency to avoid or withdraw from novelty in both social and non-social situations, is related to explicit ratings of trustworthiness as well as decisions made in the trust game. In the game, healthy young adults interacted with three fictional partners who were portrayed as trustworthy, untrustworthy or neutral through biographical information. Participants could choose to keep $1 or send $3 of virtual money to a partner. The partner could then choose to send $1.5 back to the participant or to keep the entire amount. On any trial in which the participant chose to send, the partner always reciprocated with 50% probability, irrespective of how that partner was portrayed in the biography. Behavioral inhibition was assessed through a self-report questionnaire. Finally, a reinforcement learning computational model was fit to the behavior of each participant. Self-reported ratings of trust confirmed that all participants, irrespective of behavioral inhibition, perceived differences in the moral character of the three partners (trustworthiness of good > neutral > bad partner). Decisions made in the game showed that inhibited participants tended to trust the neutral partner less than uninhibited participants. In contrast, this was not reflected in the ratings of the neutral partner (either pre- or post-game), indicating a dissociation between ratings of trustworthiness and decisions made by inhibited participants. Computational modeling showed that this was due to lower initial trust of the neutral partner rather than a higher learning rate associated with loss, suggesting an implicit bias against the neutral partner. Overall, the results suggest inhibited individuals may be predisposed to interpret neutral or ambiguous information more negatively which could, at least in part, account for the tendency to avoid unfamiliar people characteristic of behaviorally inhibited temperament, as well as its relationship to anxiety disorders.

scholarly journals Pengaruh Pemahaman Agama terhadap Kinerja Guru Madrasah Ibtidaiah di Kota Manado

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Rivai Bolotio
Keyword(s):  
Data Collection ◽  
Random Sampling ◽  
Teacher Performance ◽  
Descriptive Analysis ◽  
Stratified Random Sampling ◽  
Religious Knowledge ◽  
And Performance ◽  
Positive Direct ◽  
Religious Understanding ◽  
Made In

ABSTRACT, This study aims to examine the influence of religious understanding on the performance of Madrasah Ibtidaiah teachers in Manado City. The method used in this research is correlational quantitative. This research is conducted in Madrasah Ibtidaiah in Manado City with the sample size of 96, selected from 127 teachers using proportional stratified random sampling. Data collection is done by using test and nontest instruments. The test is used to collect data on religious understanding and the nontest is used to collect the data of practice and performance. The collected data are then analyzed using descriptive analysis and path analysis. The results of this study indicate that religious understanding has a positive direct effect on teacher performance. To improve teachers’ performance, the efforts made, in relation to these variables, include improving teachers’ religious understanding by renewing teachers’ religious knowledge by strengthening faith and devotion to God, and increasing selfawareness that obedience and sincerity in applying it are inevitable.Keywords: Religious understanding, performance, teachersPengaruh Pemahaman Agama terhadap Kinerja Guru Madrasah Ibtidaiah di Kota Manado

Preparation of Nanosized TiO2-Photocatalyst From-Sludge (TFS) and the Characteristics of Concrete Sidewalk Blocks Using TFS

2021 ◽  
Vol 21 (7) ◽  
pp. 3882-3886
Author(s):  
Yong-Wook Jung ◽  
Jong Kyu Kim
Keyword(s):  
Methylene Blue ◽  
Photocatalytic Degradation ◽  
Air Pollutants ◽  
Removal Rate ◽  
Low Cost ◽  
Sewage Treatment ◽  
Mixing Ratio ◽  
Tio2 Photocatalyst ◽  
And Performance ◽  
Nanosized Tio2

In this study, nano-sized low cost titanium dioxide (TFS) was prepared using sludge from sewage treatment and performance was verified. To remove air pollutants, the photocatalytic degradation of methylene blue and efflorescence characteristics is assessed according to the mixing ratio of the nano-sized TFS by applying them to concrete sidewalk blocks. The photocatalytic degradation performance of concrete sidewalk blocks shows that the methylene blue removal rate of specimens containing 2.5%, 5%, and 10% of nano-sized TFS is 29%, 27%, and 38%, respectively. When the nano-sized TFS is mingled on the surface of the sidewalk block, the performance of anti-corrosion and antifouling showed excellency mainly due to the moisture blocking derived by the antifouling function of photocatalysts.

ICT Based Performance Measurement and Benchmarking Methodology

2020 ◽  
pp. 188-196
Author(s):  
Nadja Yang Meng ◽  
Karthikeyan K
Keyword(s):  
Best Practices ◽  
Performance Measurement ◽  
Performance Metrics ◽  
Performance Enhancement ◽  
Performance Measurements ◽  
Know How ◽  
Performance Benchmarking ◽  
Measurement Framework ◽  
And Performance ◽  
Made In

Performance benchmarking and performance measurement are the fundamental principles of performance enhancement in the business sector. For businesses to enhance their performance in the modern competitive world, it is fundamental to know how to measure the performance level in business that also incorporates telling how they will performance after a change has been made. In case a business improvement has been made, the performance processes have to be evaluated. Performance measurements are also fundamental in the process of doing comparisons of performance levels between corporations. The best practices within the industry are evaluated by the businesses with desirable levels of the kind of performance measures being conducted. In that regard, it is fundamental if similar businesses applied the same collection of performance metrics. In this paper, the NETIAS performance measurement framework will be applied to accomplish the mission of evaluating performances in business by producing generic collection of performance metrics, which businesses can utilize to compare and measure their organizational activities.

Design and Performance of a Miniaturized High-Speed Continuous-Flow Analyzer

1974 ◽  
Vol 20 (4) ◽  
pp. 424-427 ◽  
Author(s):  
William E Neeley ◽  
Stephen C Wardlaw ◽  
Helen C Sing
Keyword(s):  
Sample Size ◽  
Continuous Flow ◽  
High Speed ◽  
Clinical Laboratory ◽  
Small Animal ◽  
Sample Volume ◽  
Small Sample ◽  
Reagent Consumption ◽  
And Performance ◽  
Made In

Abstract Design features and performance of a miniaturized high-speed continuous-flow analyzer are described. Special emphasis is made in the design towards a system that is free from the operational and mechanical complexities found in most of today’s advanced systems. Depending on the particular analyses, sample size varies from 3 to 25 µl and reagent consumption is less than 180 µl per sample. Analyses are performed under steady-state conditions at sampling rates of 150 samples per hour with a 2:1 or 3:1 sample-to-wash ratio. The marked reduction in sample size makes the system ideal for microanalyses, especially in the pediatric clinical laboratory, in small animal research, and in any other cases where small sample volume is especially important.

scholarly journals Data Association Methods via Video Signal Processing in Imperfect Tracking Scenarios: A Review and Evaluation

2020 ◽  
Vol 2020 ◽  
pp. 1-26
Author(s):  
Hui Li ◽  
Yapeng Liu ◽  
Wenzhong Lin ◽  
Lingwei Xu ◽  
Junyin Wang
Keyword(s):  
Signal Processing ◽  
Deep Learning ◽  
Data Association ◽  
Evaluation Criteria ◽  
Video Signal ◽  
Video Signal Processing ◽  
Video Signals ◽  
And Performance ◽  
Multiobject Tracking ◽  
Made In

In 5G scenarios, there are a large number of video signals that need to be processed. Multiobject tracking is one of the main directions in video signal processing. Data association is a very important link in tracking algorithms. Complexity and efficiency of association method have a direct impact on the performance of multiobject tracking. Breakthroughs have been made in data association methods based on deep learning, and the performance has been greatly improved compared with traditional methods. However, there is a lack of overviews about data association methods. Therefore, this article first analyzes characteristics and performance of three traditional data association methods and then focuses on data association methods based on deep learning, which is divided into different deep network structures: SOT methods, end-to-end methods, and Wasserstein metric methods. The performance of each tracking method is compared and analyzed. Finally, it summarizes the current common datasets and evaluation criteria for multiobject tracking and discusses challenges and development trends of data association technology and data association methods which ensure robust and real time need to be continuously improved.

scholarly journals Synthesis and Performance of Hybrid Hydrogels Loaded with Methylene Blue and Its Use for Antimicrobial Photodynamic Inactivation

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Oksana Nadtoka ◽  
Pavlo Virych ◽  
Serhiy Nadtoka ◽  
Nataliya Kutsevol
Keyword(s):  
Methylene Blue ◽  
Chemical Nature ◽  
Red Light ◽  
Bactericidal Effect ◽  
Hybrid Hydrogel ◽  
Swelling Properties ◽  
Hybrid Hydrogels ◽  
Dye Sorption ◽  
And Performance

Development and characterization of hybrid hydrogels loaded with methylene blue, which are designed to apply for photodynamic therapy, are presented. Hybrid hydrogels were synthesized by grafting polyacrylamide onto dextran/dextran sulfate sodium salt using N, N′-methylene-bis-acrylamide as a cross-linker. The differences in microstructure of synthesized hydrogels were proved by scanning electron microscopy. FTIR spectra testify that the chemical nature of hydrogel components affects the hydrogel hydrophilicity. The swelling properties of hydrogels in water and absorption/desorption hydrogels’ ability towards methylene blue were studied. It was shown that dye sorption was dependent on the hydrogel type. The hydrogel based on dextran and polyacrylamide revealed the highest ability to release absorbed dye. The bactericidal effect of this hydrogel loaded with methylene blue and activated by red light in suspension and solid medium of S. aureus was tested. The increase of bactericidal activity of hybrid hydrogel was dependent on radiation doses.

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