scholarly journals An interval assessment of the uncertainty of fire and emerging risk parameters

2019 ◽  
Vol 15 (6) ◽  
pp. 74-79 ◽  
Author(s):  
E. Yu. Kolesnikov
Keyword(s):  
Quantitative Estimation ◽  
Probabilistic Approach ◽  
Good Alternative ◽  
Risk Indicators ◽  
Parametric Sensitivity ◽  
Qualitative And Quantitative ◽  
Emerging Risk ◽  
Risk Parameters ◽  
Subjective Origin ◽  
Modern Metrology

Uncertainty as an attribute of fire and emerging risks has both objective and subjective origin. Like measure uncertainty in modern metrology, the uncertainty in the risk theory has qualitative and quantitative aspects. Several methods for uncertainty quantifying are known. Taking into account the specifics of dangerous industrial objects, the probabilistic approach to quantitative estimation of their risk parameter uncertainty is inapplicable. A good alternative is to assess the fire and emerging risks in the interval setting. In addition to directly assessing the uncertainty of the results obtained — the risk indicators — it also makes it possible to estimate the parametric sensitivity of the model and to assess the conservatism of the assumptions made.

scholarly journals Qualitative and quantitative determination of phytochemicals from flowers of Spanish Cherry tree

2018 ◽  
Vol 8 (6-s) ◽  
pp. 182-186
Author(s):  
Vineeta Singh ◽  
Anita Rao ◽  
Shipra Pandey ◽  
Vaibhav Sharan Pandey ◽  
Vageshwari Vageshwari ◽  
...  
Keyword(s):  
Quantitative Determination ◽  
Quantitative Estimation ◽  
Standard Procedure ◽  
Tannin Content ◽  
Cherry Tree ◽  
Qualitative And Quantitative ◽  
Standard Curve ◽  
Soxhlet Apparatus ◽  
Percentage Yield

The present enquiry was intended to analyze the phytochemicals qualitatively and quantitatively from flowers of Spanish cherry tree. Flower powder was extracted using polar and nonpolar solvent by soxhlet apparatus. Percentage yield of crude extracts was determined and further the extracts were subjected to analyze the phytochemicals qualitatively and quantitatively by standard procedure. Qualitative analysis showed the absence of alkaloids while presences of tannins, saponins, terpenoids, steroids, glycosides, flavonoids, phenols. Quantitative estimation of phytochemicals was determined using standard curve. Result revealed that the tannin content was 4.3±0.01 (mgTAE /gm), flavanols content was 0.28±0.05 (mgQE/gm). Saponins content was 3.6±0.7 % and terpenoids content was 1.47±0.37 %. A well conducted studies on phytochemicals revealed that they are vital for humans because they provide protection against a variety of ailments. Therefore, the present study is aimed to analyze phytochemicals qualitatively and quantitatively. Keywords: Phytochemicals, Tannins, Saponins, Flavanols, Terpenoids

scholarly journals ON MULTIVARIATE APPROACH TO EVALUATE THE PROTECTION OF AQUIFERS AT DEVELOPMENT OF WESTERN SIBERIA OIL-AND-GAS BEARING AREAS

2015 ◽  
pp. 7-15
Author(s):  
Yu. V. Bespalova
Keyword(s):  
Quantitative Assessment ◽  
Western Siberia ◽  
Oil And Gas ◽  
Quantitative Estimation ◽  
Water Levels ◽  
Multivariate Approach ◽  
Qualitative And Quantitative ◽  
Ground Waters ◽  
Clay Rocks ◽  
Gas Bearing

The qualitative and quantitative assessment of ground waters protectability based on the regional specific charac-teristics of the lithology and thickness of impermeable deposits of the zone of aeration and overlying deposits, a ratio of confined and ground water levels, the soils and clay rocks absorptivity. The article gives the author's vision of ground waters natural protectability. It presents a quantitative estimation by three most well-known methods. Based on the calculations made a map of protectability of fresh ground waters in the Atlym-Novomikhailovsk complex for Nizhnevartovsk district was constructed.

scholarly journals Physical and mathematical modeling of the moving the raw cotton between directing wall and area ginning seeds

2021 ◽  
Vol 2131 (3) ◽  
pp. 032056
Author(s):  
M Ahmedov ◽  
M Shoraxmedova ◽  
T Tuychiev ◽  
D Tashpulatov ◽  
I Cherunova
Keyword(s):  
Mathematical Modeling ◽  
Cotton Fiber ◽  
Quantitative Estimation ◽  
Experimental Studies ◽  
Raw Material ◽  
Direct Impact ◽  
Actual Problem ◽  
Working Chamber ◽  
Qualitative And Quantitative ◽  
Physical And Mathematical Modeling

Abstract In article are brought algorithm and results brought numerically-experimental studies on qualitative and quantitative estimation of the law of the moving the raw cotton from directing walls outgoing between spiked-drum and netlike surface feeder aside worker of the camera ginning machines. It is known that the uniform supply of raw cotton to the ginning process has a direct impact on the efficiency of the ginning process. In the process of ginning, the cotton is cleaned on the surface of the pile drum and net of the supplier, and the crushed gin comes to the working chamber through the gin. As a result of the rotation of the saw cylinder in the working chamber, the cotton fiber is suspended and the rotation is started. As a result of the circular motion of the raw cotton, a raw material roller is formed. In this process, the actual problem is to ensure that the raw cotton consists of small pieces and is uniform in time and width of the equipment. The Comparison got given on calculation shows that increase the corner will bring about increase the growing forming displacement. Increase of this corner will bring the leaflet of the raw cotton about increase of length free moving.

scholarly journals Some characteristics of active and latent monophenolase of mushroom polyphenol oxidase

2013 ◽  
Vol 51 (1-2) ◽  
pp. 33-41 ◽  
Author(s):  
Janusz Czapski
Keyword(s):  
Polyphenol Oxidase ◽  
Quantitative Estimation ◽  
Active Form ◽  
Sodium Dodecyl ◽  
Maximum Velocity ◽  
Electrophoretic Analysis ◽  
Qualitative And Quantitative ◽  
Monophenolase Activity ◽  
Lag Period ◽  
Catalytic Power

Latent form of monophenolase of mushroom polyphenol oxidase (PPO) was activated by 0,1% sodium dodecyl sulfate (SDS). The addition of increasing concentrations of 4-methylcatechol di minished lag period of active and total monophenolase activity, measured using p-cresol with L-proline as a substrate. Changes of lag period were described by equation of one phase exponential decay when concentration of substrate varied from l to 10 mM. Affinity ( 1/K<sub>m</sub>) toward substrate of latent monophenolase was over two times higher than that of the active form, while the maximum velocity (V<sub>max</sub>) was two times lower. The catalytic power (V<sub>max</sub>/K<sub>m</sub>) of both forms of monophenolase were almost equal. Electrophoretic analysis followed by scanning technique of the gels was used. Absorbancy of spots, determined from computer image of isoenzyme bands pattern allowed for qualitative and quantitative estimation of electrophoregrams. Presence of one additional clearly defined slow migrating isoenzyme for SDS activated monophenolase differed in this respect active (2 bands) and total (3 bands) forms of monophenolase.

scholarly journals Biofilm formation by clinically isolated Staphylococcus Aureus from India

2018 ◽  
Vol 12 (12) ◽  
pp. 1062-1066 ◽  
Author(s):  
Alasthimannahalli Gangadhara Triveni ◽  
Mendem Suresh Kumar ◽  
Chavadi Manjunath ◽  
Channappa T Shivannavar ◽  
Subhaschandra M Gaddad
Keyword(s):  
Staphylococcus Aureus ◽  
Congo Red ◽  
Biofilm Formation ◽  
Quantitative Estimation ◽  
Microtiter Plate ◽  
Clinical Samples ◽  
Specific Method ◽  
Qualitative And Quantitative ◽  
Etiological Agents

Introduction: Staphylococcal biofilms are prominent cause for acute and chronic infection both in hospital and community settings across the world. Current study explores biofilm formation by Staphylococcus aureus isolates from clinical samples by different methods. Methodology: Standard techniques used for the characterization of S.aureus. Qualitative and quantitative biofilm formation was assessed by Congo red Agar, Tube and Microtiter plate methods. Results: A total of 188 clinical isolates of S.aureus were screened for biofilm formation and 72 (38.29%) of them were found to be biofilm producers, 34 (18.08%) strong, 38 (20.21%) moderate. The remaining 116 (61.7%) were weak/ non biofilm producers. Maximum biofilm formers were recorded in pus samples (39.06%), followed by isolates from blood (38.23%) and urine (34.61%). Statistical analysis for the formation of biofilm indicated that Microtiter plate method is the most sensitive and specific method for screening biofilm production. Conclusions: Biofilm formation is one of the influential virulence factor in staphylococcal pathogenesis and persistence. Microtiter plate and Congo red agar remain as reliable methods for the qualitative and quantitative estimation of biofilm formation. Monitoring of biofilm formation in various etiological agents will help in determining the severity of infection.

scholarly journals Weight of Evidence Approach to Maritime Accident Risk Assessment Based on Bayesian Network Classifier

2021 ◽  
Vol 10 (2) ◽  
pp. 330-347
Author(s):  
Ana Kuzmanić Skelin ◽  
Lea Vojković ◽  
Dani Mohović ◽  
Damir Zec
Keyword(s):  
Risk Assessment ◽  
Bayesian Network ◽  
Bayes Factor ◽  
Quantitative Estimation ◽  
Influencing Factor ◽  
Probabilistic Approach ◽  
Weight Of Evidence ◽  
Accident Risk ◽  
Strength Of Evidence ◽  
Bayesian Network Classifier

Probabilistic maritime accident models based on Bayesian Networks are typically built upon the data available in accident records and the data obtained from human experts knowledge on accident. The drawback of such models is that they do not take explicitly into the account the knowledge on non-accidents as would be required in the probabilistic modelling of rare events. Consequently, these models have difficulties with delivering interpretation of influence of risk factors and providing sufficient confidence in the risk assessment scores. In this work, modelling and risk score interpretation, as two aspects of the probabilistic approach to complex maritime system risk assessment, are addressed. First, the maritime accident modelling is posed as a classification problem and the Bayesian network classifier that discriminates between accident and non-accident is developed which assesses state spaces of influence factors as the input features of the classifier. Maritime accident risk are identified as adversely influencing factors that contribute to the accident. Next, the weight of evidence approach to reasoning with Bayesian network classifier is developed for an objective quantitative estimation of the strength of factor influence, and a weighted strength of evidence is introduced. Qualitative interpretation of strength of evidence for individual accident influencing factor, inspired by Bayes factor, is defined. The efficiency of the developed approach is demonstrated within the context of collision of small passenger vessels and the results of collision risk assessments are given for the environmental settings typical in Croatian nautical tourism. According to the results obtained, recommendations for navigation safety during high density traffic have been distilled.

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