Laboratory test of the impact of the area of an LED billboard on drivers' visual performance

2015 ◽  
Vol 1 (4) ◽  
pp. 199-202
Author(s):  
Małgorzata ZALESIŃSKA
Keyword(s):  
Laboratory Test ◽  
Visual Performance ◽  
The Impact

scholarly journals Laboratory test and numerical simulation of composite geomembrane leakage in plain reservoir

2021 ◽  
Vol 13 (1) ◽  
pp. 651-662
Author(s):  
Jinping Luo ◽  
Guoxiang Huang ◽  
Yanni Shao ◽  
Jian Liu ◽  
Quanyi Xie
Keyword(s):  
Laboratory Test ◽  
Water Shortage ◽  
Seepage Discharge ◽  
Threshold Distance ◽  
Water Head ◽  
Large Populations ◽  
Key Issues ◽  
Single Factor Analysis ◽  
The Impact ◽  
Leakage Location

Abstract Plain reservoir plays an important role in alleviating water shortage in plain areas which are generally crowded with large populations. As an effective and cheap anti-seepage measure, geomembrane is widely applied in plain reservoirs. Therefore, it is necessary to investigate the seepage discharge caused by composite geomembrane leakage. The laboratory test and numerical calculation are carried out in this paper to analyze the influence of three factors (i.e., water head, leakage size, and leakage location) on seepage discharge. It is found from the results of the orthogonal and single-factor analysis that the impact order of the three factors on the seepage discharge of plain reservoir is: distance from dam toe > water head > leakage size. Moreover, the seepage discharge increases as the water head, leakage size, and leakage quantity increase, in a linear relation. The opposite trend can be sawed in the seepage discharge when the distance from dam toe rises. Furthermore, a threshold distance is innovatively presented based on the results of numerical analysis. The ranking of three factors has enlightening significance for future scholars to track and study key issues of the leakage of composite geomembrane. The threshold distance presented in this paper is beneficial for engineers to manage and maintain the reservoir. Generally, the findings of this study can be beneficial to deepen the understanding of the influence of composite geomembrane leakage on the plain reservoirs.

Light Up Your Life! The Impact of Task Lighting on Visual Performance and Quality of Life in Older Adults

2021 ◽  
Vol 75 (Supplement_2) ◽  
pp. 7512515308p1
Author(s):  
Martha Sanders ◽  
Caila Frassetto ◽  
Catherine Hill ◽  
Kyeana Martone ◽  
Niamh Butler
Keyword(s):  
Quality Of Life ◽  
Older Adults ◽  
Visual Performance ◽  
Task Lighting ◽  
The Impact

scholarly journals A Machine Learning Model Incorporating Laboratory Blood Tests Discriminates Between SARS-CoV-2 and Influenza Infections at Emergency Department Visit

2021 ◽  
Author(s):  
Junyi Liu ◽  
Lars F Westblade ◽  
Amy Chadburn ◽  
Richard Fideli ◽  
Arryn Craney ◽  
...  
Keyword(s):  
Emergency Department ◽  
Laboratory Test ◽  
Calcium Level ◽  
Influenza A ◽  
Respiratory Pathogens ◽  
Rt Pcr ◽  
Blood Tests ◽  
Laboratory Test Results ◽  
Presentation Methods ◽  
The Impact

Introduction: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and influenza virus are contagious respiratory pathogens with similar symptoms but require different treatment and management strategies. This study investigated whether laboratory blood tests can discriminate between SARS-CoV-2 and influenza infections at emergency department (ED) presentation. Methods: 723 influenza A/B positive (2018/1/1 to 2020/3/15) and 1,281 SARS-CoV-2 positive (2020/3/11 to 2020/6/30) ED patients were retrospectively analyzed. Laboratory test results completed within 48 hours prior to reporting of virus RT-PCR results, as well as patient demographics were included to train and validate a random forest (RF) model. The dataset was randomly divided into training (2/3) and testing (1/3) sets with the same SARS-CoV-2/influenza ratio. The Shapley Additive Explanations technique was employed to visualize the impact of each laboratory test on the differentiation. Results: The RF model incorporating results from 15 laboratory tests and demographic characteristics discriminated SARS-CoV-2 and influenza infections, with an area under the ROC curve value 0.90 in the independent testing set. The overall agreement with the RT-PCR results was 83% (95% CI: 80-86%). The test with the greatest impact on the differentiation was serum total calcium level. Further, the model achieved an AUC of 0.82 in a new dataset including 519 SARS-CoV-2 ED patients (2020/12/1 to 2021/2/28) and the previous 723 influenza positive patients. Serum calcium level remained the most impactful feature on the differentiation. Conclusion: We identified characteristic laboratory test profiles differentiating SARS-CoV-2 and influenza infections, which may be useful for the preparedness of overlapping COVID-19 resurgence and future seasonal influenza.

scholarly journals The Impact of Continuous Improvement of Laboratory Test Result Comments on Requests for Consultation

2015 ◽  
Vol 144 (suppl 2) ◽  
pp. A200-A200
Author(s):  
Robert Schmidt ◽  
Jeanne Panlener ◽  
Suzanne Carasso ◽  
Jerry Hussong
Keyword(s):  
Laboratory Test ◽  
Continuous Improvement ◽  
Laboratory Test Result ◽  
The Impact ◽  
Test Result

2014 CRL Build Study of Life Insurance Applicants

2016 ◽  
Vol 46 (1) ◽  
pp. 13-19
Author(s):  
Michael Fulks ◽  
Vera F. Dolan ◽  
Robert L. Stout
Keyword(s):  
Blood Pressure ◽  
Relative Risk ◽  
Laboratory Test ◽  
Primary Study ◽  
Reference Laboratory ◽  
Cox Regression Analysis ◽  
Relative Mortality ◽  
Low Bmi ◽  
The Impact ◽  
High Bmi

Objective Determine the impact of build on insurance applicant mortality accounting for smoking, laboratory test values and blood pressure. Method The study consisted of 2,051,370 applicants tested at Clinical Reference Laboratory between 1993 and 2007 with build and cotinine measurements available whose body mass index (BMI) was between 15 and 47. Vital status was determined as of September, 2011 by the Social Security Death Master File. Excluded from the primary study were applicants with HbA1c values ≥6.5%, systolic BP ≥141 mmHg, albumin values ≤3.3 g/dL or total cholesterol values ≤130 mg/dL. Relative mortality was determined by Cox regression analysis for bands of BMI split by age, sex and smoking status (urine cotinine positive). Results A majority of applicants had BMI >24 (overweight or obese by WHO criteria). After the exclusions noted above, relative mortality does not increase by >34% unless BMI is <20 (<18 for female non-smokers age 18 to 59) or BMI is >34. BMI values in the range of 22 to 24 and 25 to 29, overall, had similar and the lowest relative risks. For most nonsmokers, risk was lowest in the lower of these two BMI bands but for smokers (and non-smoking males age 60 to 89) risk was lowest in the higher BMI band. Additional analysis showed limited reduction in relative risk by accounting for all laboratory test values as well as continuing the exclusions. Eliminating the exclusions resulted in only a modest increase in relative risk because the mortality rate of the reference band increased as well. Conclusion After excluding elevated HbA1c and blood pressure (associated with high BMI) and low albumin and cholesterol (associated with low BMI) which are usually evaluated separately, mortality varies by a limited degree for BMI 20 to 34. Accounting for the mortality impact of other test values, in addition to the exclusions noted, reduced mortality associated with high BMI to a limited extent, but had little impact on mortality associated with low BMI.

scholarly journals Simulation of hydraulic pump load in laboratory conditions

2021 ◽  
Vol 351 ◽  
pp. 01005
Author(s):  
Ľubomír Hujo ◽  
Romana Janoušková ◽  
Štefan Čorňák ◽  
Juraj Tulík
Keyword(s):  
Laboratory Test ◽  
Working Hours ◽  
Hydraulic Fluid ◽  
Agricultural Machinery ◽  
Hydraulic Pump ◽  
Scientific Contribution ◽  
Energy Carriers ◽  
Laboratory Conditions ◽  
Limit Test ◽  
The Impact

The aim of the scientific contribution is simulating the load of gear hydraulic pump used in agricultural machinery in laboratory conditions, where the impact of ecological transmission-hydraulic fluid on life limit (flow and efficiency) of gear hydraulic pump GHD1-17R is monitored. Laboratory test equipment was used for the simulation. The equipment was used to perform life limit test of hydraulic pump and to monitor changes in physicochemical ecological energy carriers. The simulation in laboratory conditions took 500 hours. The Vickers test took 100 hours. Transmission-hydraulic fluid MOL Farm NH Ultra was used for simulation. The results were that fluid is appropriate to use in this type of hydraulic pump in agricultural machineries. According to the Vickers test, the fluid is characterized by an increased value of flow and efficiency after 50 working hours, thereby exceeding the specified test values.

ESTIMATING THE IMPACT OF VEGETATION BURNING ON SOIL MORPHOLOGY IN THE PLATEAUS OF NORTHEASTERN MOZAMBIQUE VIA A LABORATORY TEST

Soil Science ◽  
2003 ◽  
Vol 168 (8) ◽  
pp. 576-584 ◽  
Author(s):  
R. Espejo Serrano ◽  
V. G??mez Miguel ◽  
F. Peregrina Alonso ◽  
T. Terefe Wondafrash ◽  
C. P??rez Ybarra
Keyword(s):  
Laboratory Test ◽  
Soil Morphology ◽  
The Impact ◽  
Vegetation Burning
Sign in / Sign up

Export Citation Format

Share Document