Quality of Refractory Materials in the Technological Process

2012 ◽  
Vol 524-527 ◽  
pp. 2026-2030
Author(s):  
Marek Šolc ◽  
Štefan Markulik ◽  
Eva Grambalová
Keyword(s):  
Experimental Data ◽  
Technological Process ◽  
Maximum Concentration ◽  
Statistical Processing ◽  
Experimental Results ◽  
Data Sets ◽  
Refractory Materials ◽  
Processing Data

In addressing issues related to technology or quality refractory products are among the supporting documents experimental results of the tests. These more or less extensive data sets characterize with some precision observed phenomenon, e.g. some physical or chemical quantity. The role of statistical processing of data from this perspective, the maximum concentration sometimes extremely abundant, but few clear set of experimental data and determine the "seriousness" of this file. When processing data it is to be noted that these characteristics are not fully observed variable, but only a selected part.

Iranian Coaches Forgiveness and Relationship Quality to Their Athletes

2021 ◽  
pp. 1-8
Author(s):  
Hassan Gharayagh Zandi ◽  
Sahar Zarei ◽  
Mohammad Ali Besharat ◽  
Davoud Houminiyan sharif abadi ◽  
Ahmad Bagher Zadeh
Keyword(s):  
Relationship Quality ◽  
Structural Equation ◽  
Equation Modeling ◽  
Data Sets ◽  
Mediating Role ◽  
Interpersonal Behaviors ◽  
Key Factor ◽  
The Relationship

Coaching has often been viewed as a context within which coaches operate to largely bring about changes in athlete’s performance and flourishing. One key factor to successful outcomes in coaching is the quality of the relationship between coaches and athletes. The coach–athlete relationship is at the heart of coaching; however, limited studies have been conducted on its antecedents. The aim of this study was to investigate the relationship between coaches’ forgiveness and perceived relationship quality toward their athletes through verifying the mediating role of interpersonal behaviors of coaches. A total of 270 Iranian coaches participated in the survey, and the data sets were analyzed using structural equation modeling. Results revealed that forgiveness positively predicted the coaches’ perceived relationship quality with their athletes, and this pathway was mediated by the coaches’ interpersonal behaviors.

Research on the Confidence Regression Based on KNN Algorithm

2015 ◽  
Vol 713-715 ◽  
pp. 1877-1881
Author(s):  
Fang Chun Jiang ◽  
Sheng Feng Tian
Keyword(s):  
Machine Learning ◽  
Experimental Data ◽  
Research Field ◽  
Experimental Results ◽  
Data Sets ◽  
Error Evaluation ◽  
Significant Research ◽  
Specific Error

Confidence regression is a significant research field of confidence machine learning. This paper adopts KNN algorithm as a tool, and performs error evaluation on results of regressive learning to classify the accept field and the refuse field so as to achieve the confidence regression. By setting specific error value, this approach achieves controllable confidence regression, which has been tested on experimental data of bodyfat and other data sets. The experimental results presented show the feasibility of our approach.

scholarly journals Arsenate Retention by Epipsammic Biofilms Developed on Streambed Sediments: Influence of Phosphate

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
D. M. Prieto ◽  
R. Devesa-Rey ◽  
D. A. Rubinos ◽  
F. Díaz-Fierros ◽  
M. T. Barral
Keyword(s):  
Experimental Data ◽  
Environmental Quality ◽  
Human Activities ◽  
Sediment Samples ◽  
Average Percentage ◽  
Geological Conditions ◽  
Streambed Sediments ◽  
The Impact

Natural geological conditions together with the impact of human activities could produce environmental problems due to high As concentrations. The aim of this study was to assess the role of epipsammic biofilm-sediment systems onto As (V) sorption and to evaluate the effect of the presence of equimolar P concentrations on As retention. A natural biofilm was grown on sediment samples in the laboratory, using river water as nutrient supplier. Sorption experiments with initial As concentrations 0, 5, 25, 50, 100, 250, and 500 μg L−1were performed. The average percentage of As sorbed was78.9±3.5and96.9±6.6% for the sediment and biofilm-sediment systems, respectively. Phosphate decreased by 25% the As sorption capactity in the sediment devoid of biofilm, whereas no significant effect was observed in the systems with biofilm. Freundlich, Sips, and Toth models were the best to describe experimental data. The maximum As sorption capacity of the sediment and biofilm-sediment systems was, respectively, 6.6 and 6.8 μg g−1and 4.5 and 7.8 μg g−1in the presence of P. In conclusion, epipsammic biofilms play an important role in the environmental quality of river systems, increasing As retention by the system, especially in environments where both As and P occur simultaneously.

STUDY OF THE INFLUENCE OF TECHNOLOGICAL FACTORS ON THE QUALITY OF CASES WHEN ROLLING WITH EPILAMED ROLLERS

2020 ◽  
Vol 6 ◽  
pp. 29-35
Author(s):  
E.A. ZVYAGINA ◽  
A.Yu. MALTSEV ◽  
S.G. DANILCHENKO ◽  
A.V. PETRUKHIN ◽  
D.I. TITOV
Keyword(s):  
Experimental Data ◽  
Statistical Processing ◽  
Technological Factors

The article discusses the influence of technological factors on the quality of casings when rolling with epilamated rollers. The general patterns of the process were revealed using methods of planning an experiment and statistical processing of experimental data.

Ontology assessment based on linked data principles

2018 ◽  
Vol 14 (4) ◽  
pp. 453-479
Author(s):  
Leila Zemmouchi-Ghomari ◽  
Kaouther Mezaache ◽  
Mounia Oumessad
Keyword(s):  
Linked Data ◽  
Design Methodology ◽  
State Of The Art ◽  
Experimental Results ◽  
Data Sets ◽  
Content Type ◽  
Detailed Interpretation

Purpose The purpose of this paper is to evaluate ontologies with respect to the linked data principles. This paper presents a concrete interpretation of the four linked data principles applied to ontologies, along with an implementation that automatically detects violations of these principles and fixes them (semi-automatically). The implementation is applied to a number of state-of-the-art ontologies. Design/methodology/approach Based on a precise and detailed interpretation of the linked data principles in the context of ontologies (to become as reusable as possible), the authors propose a set of algorithms to assess ontologies according to the four linked data principles along with means to implement them using a Java/Jena framework. All ontology elements are extracted and examined taking into account particular cases, such as blank nodes and literals. The authors also provide propositions to fix some of the detected anomalies. Findings The experimental results are consistent with the proven quality of popular ontologies of the linked data cloud because these ontologies obtained good scores from the linked data validator tool. Originality/value The proposed approach and its implementation takes into account the assessment of the four linked data principles and propose means to correct the detected anomalies in the assessed data sets, whereas most LD validator tools focus on the evaluation of principle 2 (URI dereferenceability) and principle 3 (RDF validation); additionally, they do not tackle the issue of fixing detected errors.

scholarly journals The Robustness of Honesty Effects on Budget Proposals when the Superior has Rejection Authority

2014 ◽  
Vol 90 (2) ◽  
pp. 467-493 ◽  
Author(s):  
Jeremy D. Douthit ◽  
Douglas E. Stevens
Keyword(s):  
Experimental Data ◽  
Experimental Evidence ◽  
Experimental Results ◽  
Data Availability ◽  
Budgetary Slack ◽  
Participative Budgeting ◽  
Budget Request ◽  
Distributional Fairness

ABSTRACT Rankin, Schwartz, and Young (2008) find experimental evidence that manipulating whether the budget request of the subordinate requires a factual assertion has no effect on budgetary slack when the superior can reject the budget. This calls into question the role of honesty in participative budgeting settings. Using Rankin et al.'s (2008) manipulation to capture honesty effects, we examine the robustness of honesty effects on budget proposals when the superior has rejection authority in two experiments. In Experiment 1, we document that honesty has a strong effect on budgetary slack when the salience of distributional fairness is reduced by withholding the relative pay of the superior from the subordinate. In Experiment 2, we document that honesty continues to have a strong effect on budgetary slack when the salience of reciprocity is increased by giving the superior the ability to set the subordinate's salary. Thus, our evidence suggests that honesty effects on budget proposals are generally robust to giving the superior rejection authority. Our study helps explain prior experimental results and clarifies the role of honesty in participative budgeting settings. Data Availability: Experimental data are available from the authors upon request.

scholarly journals Penalty-Enhanced Utility-Based Multi-Criteria Recommendations

Information ◽  
2020 ◽  
Vol 11 (12) ◽  
pp. 551
Author(s):  
Yong Zheng
Keyword(s):  
Decision Making ◽  
Recommender Systems ◽  
Real World ◽  
User Preferences ◽  
Experimental Results ◽  
Data Sets ◽  
Real World Data ◽  
Promising Solution ◽  
Multiple Domains

Recommender systems have been successfully applied to assist decision making in multiple domains and applications. Multi-criteria recommender systems try to take the user preferences on multiple criteria into consideration, in order to further improve the quality of the recommendations. Most recently, the utility-based multi-criteria recommendation approach has been proposed as an effective and promising solution. However, the issue of over-/under-expectations was ignored in the approach, which may bring risks to the recommendation model. In this paper, we propose a penalty-enhanced model to alleviate this issue. Our experimental results based on multiple real-world data sets can demonstrate the effectiveness of the proposed solutions. In addition, the outcomes of the proposed solution can also help explain the characteristics of the applications by observing the treatment on the issue of over-/under-expectations.

scholarly journals Connection of urethral microbiota with the semen quality and the concentration of endocrine disrupters in men semen

2018 ◽  
Vol 19 (4) ◽  
pp. 60-66
Author(s):  
S. V. Chigrinets ◽  
G. V. Bryuhin
Keyword(s):  
Bisphenol A ◽  
Seminal Fluid ◽  
Semen Quality ◽  
Statistical Processing ◽  
Test System ◽  
P Value ◽  
Study Objective ◽  
Comparison Groups

The study objective is to investigate the correlations between opportunistic microorganisms of the urethra and the quality of ejaculate, as well as the concentration of ubiquitory endocrine disruptors (bisphenol A and triclosan) in men semen.Materials and methods. We analysed 63 semen samples of men with normo- and patozoospermia. In seminal fluid the concentration of bisphenol A and triclosan was determined by gas chromatography with mass spectrometry. The microbiocenosis of the urethra was studied by real-time polymerase chain reaction using the Androflor test system. The results were subjected to statistical processing using the Mann — Whitney U-test and correlation analysis. A p-value less than 0.05 was considered significant.Results. Bisphenol A was found in 100 % of the semen samples. Triclosan was detected in 84.9 % of the samples. Comparison groups on the quality of ejaculate (normo- and pathozoospermia) were statistically significantly different in the concentration of bisphenol A and triclosan in seminal fluid (p <0.001) and (p = 0.003) respectively. The study established statistically significant correlations between bisphenol A concentration, seminal triclosan and urethral microbiota: Lactobacillus spp. (r = 0.501, p = 0.003), Corynebacterium spp. (r = 0.425, p = 0.015), Anaerococcus spp. (r = 0.371, p = 0.045), Eubacterium spp. (r = 0.357, p = 0.037) for bisphenol A and Staphylococrns spp. (r = 0.392, p = 0.026), Streptococcus spp. (r = —0.486, p = 0.005) for triclosan.Conclusion. In this study the connection of the urethral microbiota with the quality of the ejaculate and the concentration of endocrine dis-ruptors (bisphenol A and triclosan) in men semen was established. In this regard, it is necessary to take into account the role of asymptomatic urethral dysbiosis when administering patients with poor ejaculate quality.

Vessel Sealing Using the Bipolar Electrosurgical Method

2007 ◽  
Author(s):  
Matthew W. Chastagner ◽  
Scott F. Miller ◽  
Albert J. Shih ◽  
James D. Geiger
Keyword(s):  
Experimental Data ◽  
Porcine Model ◽  
Electrical Current ◽  
Experimental Results ◽  
Element Analysis ◽  
Fea Model ◽  
Vessel Sealing ◽  
Maximum Temperatures ◽  
Insight Into

The electrosurgical sealing method has risen to prominence in recent years as more vessel sealing procedures are being conducted in minimally invasive surgery. Electrosurgical sealing works by applying electrical current to coagulate and denature proteins in the vessel, thereby creating a bond. In this study, experiments were conducted to seal 3 and 8 mm diameter vessels in a porcine model with a bipolar electrosurgical device and measure the electrical voltage and current, and temperature distribution in the vessel near the area of the seal. The vessel seal was modeled with finite element analysis (FEA) and compared to the experimental data. FEA allow for insight into the correlation of temperature to quality of the seal in the vessel. The maximum temperatures were 83°C and 63°C in the 3 and 8 mm vessels, respectively. Validation of the experimental results was attempted through the use of a simplified FEA model. The model showed similar thermal profiles near the electrode, but further downstream temperatures did not rise as fast as the experimental results. Further refinement to overcome limitations in the model is identified.

scholarly journals Unravelling Nature's Networks: From Microarray and Proteomic Analysis to Systems Biology: University of Sheffield, 21–22 July 2003

2003 ◽  
Vol 25 (6) ◽  
pp. 40-41
Author(s):  
Nick Monk ◽  
Neil Lawrence
Keyword(s):  
Gene Expression ◽  
Experimental Data ◽  
Mathematical Model ◽  
Protein Interactions ◽  
Large Scale ◽  
Dynamic Behaviour ◽  
Biochemical Networks ◽  
Data Sets ◽  
Variable Quality

The robust and adaptable behaviours of cells and tissues depend on the operation of complex regulatory biochemical networks. The elucidation of the structure and functioning of such networks poses many daunting challenges. Recently developed experimental techniques, such as large-scale profiling of gene expression and protein interactions, provide unprecedented amounts of information on the molecular composition of cells. The size (and often variable quality) of the resulting data sets necessitates the use of sophisticated computational schemes for the analysis, mining and integration of the data. In all but the simplest cases, the complexity of the networks is such that it is impossible to provide an intuitive picture of the principles governing their dynamic behaviour without synthesizing the experimental data into a coherent mathematical model of the underlying system.

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