Research and analysis of AC sampling standard value converting circuits

2013 ◽  
Author(s):  
Lili Mu ◽  
Zhijing Li ◽  
Zekuan Chen
Keyword(s):  
2006 ◽  
Vol 6 (2) ◽  
pp. 47-53 ◽  
Author(s):  
D. Simazaki ◽  
M. Asami ◽  
T. Nishimura ◽  
S. Kunikane ◽  
T. Aizawa ◽  
...  

Nationwide surveys of 1,4-dioxane and methyl-t-butyl ether (MTBE) levels in raw water used for the drinking water supply were conducted at 91 water treatment plants in Japan in 2001 and 2002, prior to the revision of the drinking water quality standards. 1,4-dioxane was widely and continuously detected in raw water samples and its occurrence was more frequent and its concentrations higher in groundwater than in surface water. However, its maximum concentration in raw water was much lower than its new standard value (50 μg/L), which was determined as a level of 10−5 excessive cancer risk to humans. Trace levels of MTBE were also detected in several surface water samples.


RBRH ◽  
2019 ◽  
Vol 24 ◽  
Author(s):  
Luiz Claudio Galvão do Valle Junior ◽  
Dulce Buchala Bicca Rodrigues ◽  
Paulo Tarso Sanches de Oliveira

ABSTRACT The Curve Number (CN) method is extensively used for predict surface runoff from storm events. However, remain some uncertainties in the method, such as in the use of an initial abstraction (λ) standard value of 0.2 and on the choice of the most suitable CN values. Here, we compute λ and CN values using rainfall and runoff data to a rural basin located in Midwestern Brazil. We used 30 observed rainfall-runoff events with rainfall depth greater than 25 mm to derive associated CN values using five statistical methods. We noted λ values ranging from 0.005 to 0.455, with a median of 0.045, suggesting the use of λ = 0.05 instead of 0.2. We found a S0.2 to S0.05 conversion factor of 2.865. We also found negative values of Nash-Sutcliffe Efficiency (to the estimated and observed runoff). Therefore, our findings indicated that the CN method was not suitable to estimate runoff in the studied basin. This poor performance suggests that the runoff mechanisms in the studied area are dominated by subsurface stormflow.


2011 ◽  
Vol 414 ◽  
pp. 93-98
Author(s):  
An Ping Liu ◽  
Xiao Nan Sun ◽  
Fang Yang ◽  
Xing Xing Yao

This paper describes the model of heavy metal-Cu contaminated soil remediation standard value based on risk assessment. In the Cu contamination risk assessment model, the main exposure methods are oral ingestion and inhalation through breathing, which not only simplifies the calculation but also make people get a clearer understanding of the way of Cu contamination. We get the simplified formula, calculate and discuss Cu contaminated soil remediation target value in specific parameters to provide reference and basis for the remediation of Cu contaminated soil.


2012 ◽  
Vol 268-270 ◽  
pp. 2031-2034
Author(s):  
Zheng Li ◽  
Ding Gui Luo

The concrete assessment index of cheese dyeing enterprises’ cleaner production is filtered out by the classic Delphi method (Delphi) of expert evaluation. According to the characteristic of Analytic Hierarchy Process (AHP),we have identified the different levels. Finally, assessment index system was established and the weight of each index and standard value were also determined. The cleaner production level can be evaluated eventually more intuitively. So it can provide the technical support and guidance for cleaner production assessment of Cheese Dyeing Enterprises and realize a sustainable development of this kind of enterprises.


2018 ◽  
Vol 47 (2) ◽  
pp. 150-159 ◽  
Author(s):  
Emerta Aragie

By developing a model that describes the Kenyan coffee value chain, this study evaluates opportunities emanating from four scenarios representing productivity gains in the various value chain stages of the coffee sector and additional three scenarios reflecting shifts in market situations. Results show that productivity-enhancing policies have stronger effects on coffee output and export performance if they target the milling stage of the value chain. Export subsidy and favourable external marketing conditions also have stronger effects, distributed comparably across the various value chain stages. We, however, found that these gains in the coffee sector come at the expense of other cash crops such as cotton, tea, sugar and tobacco. The approach followed in this study is relevant as this trade-off between coffee and the other cash crop sectors may not be visibly shown using standard value chain approaches.


2021 ◽  
Vol 19 (4) ◽  
pp. 77-86
Author(s):  
A.S. Ahmed ◽  
I.H. Kadim ◽  
A.A. Ramadhan

Structural properties of TiO2 thin films play a main role in determine the characteristic of the thin films especially their stability and activity, the total pressure has a great influence in determine the crystallinity of the films and the orientation of the facets of their structure, especially the two facet (101) and (001), the enhancing the structure properties will cause to enhance the application efficiency of TiO2 thin films such as the dissociative adsorption of water and the solar cell. Many researcher interest to prepare the TiO2 thin film under the low range of total pressure (less than to 10 Pa) to avoid the low degree of crystalline and the mixed of two phase anatas and rutile, so in our work tend to prepare TiO2 thin films under a high total pressure (more than 10 Pa) with values (10, 20, 50 and 100) Pa and with (1:1) mixed ratio of Argon and Oxygen gases, the pattern of X-Ray diffraction revealed that the structure was polycrystalline and the phase was anatas. The intensity at 2θ ≈ 25.00°, 37.00°, 53.00° and 55.00° correspond to the diffraction from (101), (004), (105) and (211) planes respectively. The intensity and number of peaks decreased with increased the total pressure, the plane (101) could be considered as a prefential growth plane which take a high texture factor and this would decreased with increased the total pressure, the ratio of texture factor between 001 and 101 will increase with decrease the total pressure, The lattice constant and the interplanar distance displayed a greater deviation compared with the standard value at the lowest total pressure than the decrease observed with increased total pressure.


2014 ◽  
Vol 44 (4) ◽  
pp. 175 ◽  
Author(s):  
Daniele Duca ◽  
Giuseppe Toscano ◽  
Ester Foppa Pedretti ◽  
Giovanni Riva

The use of renewable energies as alternative to fossil fuels has value from different points of view and has effects at environmental, social and economic level. These aspects are often connected to each other and together define the overall sustainability of bioenergy. At European level, the Directive 2009/28/EC gives the basic criteria for the estimation of sustainability of biofuels and indicates a minimum threshold of 35% of greenhouse gas saving for a biofuel in order to be considered sustainable. The Directive gives the possibility to identify standard regional values for the cultivation steps that could be utilized for the certification. This paper aims to give a contribution to the definition of these values considering the RED methodology applied to the sunflower cropped in central Italy which is characterized by a hilly landscape and not-irrigated crops. To determine input and output of sunflower cultivation in the central Italy, the results of PROBIO project, carried out by the Authors, were used. The sustainability of biodiesel produced from sunflower grown in central Italy is variable and depends on the nitrogen input and seasonal climatic conditions that affect the yields. The greenhouse gases savings of the Italian chain is 40% in average, greater than the required 35% and would be possible to assign this value as standard to the biofuel chain <em>biodiesel from sunflower cultivated in central Italy</em>. Using an averaged regional standard value guards against the possibility of considering unsustainable harvesting in unfavourable years and seeing it overestimated in the favourable ones.


BJGP Open ◽  
2022 ◽  
pp. BJGPO.2021.0141
Author(s):  
Anna Ruiz-Comellas ◽  
Pere Roura Poch ◽  
Glòria Sauch Valmaña ◽  
Víctor Guadalupe-Fernández ◽  
Jacobo Mendioroz Peña ◽  
...  

Backgroundamong the manifestations of COVID-19 are Taste and Smell Disorders (TSDs).AimThe aim of the study is to evaluate the sensitivity and specificity of TSDs and other associated symptoms to estimate predictive values for determining SARS-CoV-2 infection.Design and settingRetrospective observational study.Methodsa study of the sensitivity and specificity of TSDs has been carried out using the Polymerase Chain Reaction (PCR) test for the diagnosis of SARS-CoV-2 as the Gold Standard value. Logistic regressions adjusted for age and sex were performed to identify additional symptoms that might be associated with COVID-19.Resultsthe results are based on 226 healthcare workers with clinical symptoms suggestive of COVID-19, 116 with positive PCR and 111 with negative PCR. TSDs had an OR of 12.43 (CI 0.95 6.33–26.19), sensitivity 60.34% and specificity 89.09%. In the logistic regression model, the association of TSD, fever or low-grade fever, shivering, dyspnoea, arthralgia and myalgia obtained an area under the curve of 85.7% (CI 0.95: 80.7 % - 90.7 %), sensitivity 82.8 %, specificity 80% and positive predictive values 81.4% and negative 81.5%.ConclusionsTSDs are a strong predictor of COVID-19. The association of TSD, fever, low-grade fever or shivering, dyspnoea, arthralgia and myalgia correctly predicts 85.7% of the results of the COVID-19 test.


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