Performance evaluation of the U.S. National Lightning Detection Network in eastern New York: 1. Detection efficiency

1998 ◽  
Vol 103 (D8) ◽  
pp. 9045-9055 ◽  
Author(s):  
Vincent P. Idone ◽  
Daniel A. Davis ◽  
Paul K. Moore ◽  
Yan Wang ◽  
Ronald W. Henderson ◽  
...  
Keyword(s):  
New York ◽  
Performance Evaluation ◽  
Detection Efficiency ◽  
Lightning Detection ◽  
The U.S

Performance evaluation of the U.S. National Lightning Detection Network in eastern New York: 2. Location accuracy

1998 ◽  
Vol 103 (D8) ◽  
pp. 9057-9069 ◽  
Author(s):  
Vincent P. Idone ◽  
Daniel A. Davis ◽  
Paul K. Moore ◽  
Yan Wang ◽  
Ronald W. Henderson ◽  
...  
Keyword(s):  
New York ◽  
Performance Evaluation ◽  
Location Accuracy ◽  
Lightning Detection ◽  
The U.S

scholarly journals Recent History of Upgrades to the U.S. National Lightning Detection Network

2020 ◽  
Author(s):  
Martin J. Murphy ◽  
John A. Cramer ◽  
Ryan K. Said
Keyword(s):  
Detection Efficiency ◽  
Processing System ◽  
Sensor Data ◽  
Recent History ◽  
Central Processor ◽  
Central Processing ◽  
Lightning Detection ◽  
History Of ◽  
Location Algorithm ◽  
The U.S

AbstractThe U.S. National Lightning Detection Network (NLDN) underwent a complete sensor upgrade in 2013 followed by a central processor upgrade in 2015. These upgrades produced about a factor-of-five improvement in the detection efficiency of cloud lightning flashes and about one additional cloud pulse geo-located per flash. However, they also re-aggravated a historical problem with the tendency to misclassify a population of low-current positive discharges as cloud-to-ground strokes when, in fact, most are probably cloud pulses. Furthermore, less than 0.1% of events were poorly geo-located because the contributing sensor data were either improperly associated or simply under-utilized by the geo-location algorithm. To address these issues, Vaisala developed additional improvements to the central processing system, which became operational on November 7, 2018. This paper describes updates to the NLDN between 2013-2018 and then focuses on the effects of classification algorithm changes and a simple means to normalize classification across upgrades.

Contributions of Joseph Hardcastle to Accounting Theory

2008 ◽  
Vol 35 (2) ◽  
pp. 145-179 ◽  
Author(s):  
George C. Romeo ◽  
James J. McKinney
Keyword(s):  
New York ◽  
Turn Of The Century ◽  
Strong Impact ◽  
New York University ◽  
Honorary Degree ◽  
Cpa Exam ◽  
Accounting Theory ◽  
The U.S

Joseph Hardcastle was one of the foremost authorities on subjects connected with the mathematics of finance and other topics in accounting in the late 19th and early 20th centuries. As a teacher, author, and leader in the profession, he figured prominently in the elevation of accountancy. Hardcastle is relatively unknown in the literature except for having the distinction of scoring the highest grades on the first CPA exam in New York in 1896. However, he was well respected during his time as one of the premier theorists in accounting and was awarded an honorary degree of Master of Letters by New York University. Because of his prolific writings, his teaching of future accountants, and his interactions with members of the Institute of Accounts, he had a strong impact on the “science of accounts,” the dominant accounting theory in the U.S. at the turn of the century.

scholarly journals Preliminary Research on a Comparison and Evaluation of FY-4A LMI and ADTD Data through a Moving Amplification Matching Algorithm

2020 ◽  
Vol 13 (1) ◽  
pp. 11
Author(s):  
Pengfei Li ◽  
Guofu Zhai ◽  
Wenjing Pang ◽  
Wen Hui ◽  
Wenjuan Zhang ◽  
...  
Keyword(s):  
Detection Efficiency ◽  
Spherical Surface ◽  
Operation Time ◽  
Mean Value ◽  
China Meteorological Administration ◽  
Matching Algorithm ◽  
Lightning Detection ◽  
Spatial Differences ◽  
System Data ◽  
Spatial Threshold

In this study, a new moving amplification matching algorithm was proposed, and then the temporal and spatial differences and correlation were analysed and evaluated by comparing the FengYun-4A Lightning Mapping Imager (FY-4A LMI) data and the China Meteorological Administration Lightning Detection Network Advanced TOA and Direction (CMA-LDN ADTD) system data of southwest China in July 2018. The results are as follows. Firstly, the new moving amplification matching algorithm could effectively reduce the number of invalid operations and save the operation time in comparison to the conventional ergodic algorithms. Secondly, LMI has less detection efficiency during the daytime, using ADTD as a reference. The lightning number detected by ADTD increased from 5:00 AM UTC (13:00 PM BJT, Beijing Time) and almost lasted for a whole day. Thirdly, the trends of lightning data change of LMI and ADTD were the same as the whole. The average daily lightning matching rate of the LMI in July was 63.23%. The average hourly lightning matching rate of the LMI in July was 75.08%. Lastly, the mean value of the spherical surface distance in the matched array was 35.49 km, and roughly 80% of the matched distance was within 57 km, indicating that the spatial threshold limit was relatively stable. The correlation between LMI lightning radiation intensity and ADTD lighting current intensity was low.

scholarly journals Babesiosis Occurrence among the U.S. Medicare Beneficiaries Ages 65 and Older, During 2006-2017: Overall, and by State and County of Residence

2020 ◽  
Author(s):  
Mikhail Menis ◽  
Barbee I Whitaker ◽  
Michael Wernecke ◽  
Yixin Jiao ◽  
Anne Eder ◽  
...  
Keyword(s):  
New York ◽  
Rhode Island ◽  
Parasitic Infection ◽  
Medicare Beneficiaries ◽  
Study Objective ◽  
Diagnosis Codes ◽  
Real World Evidence ◽  
At Risk Populations ◽  
Human Babesiosis ◽  
The U.S

Abstract Background Human babesiosis is a mild-to-severe parasitic infection that poses health concerns especially in older and other at-risk populations. The study objective was to assess babesiosis occurrence among the U.S. Medicare beneficiaries, ages 65 and older, during 2006-2017. Methods Our retrospective claims-based study utilized Medicare databases. Babesiosis cases were identified using recorded diagnosis codes. The study estimated rates (per 100,000 beneficiary-years) overall, by year, diagnosis month, demographics, state and county of residence. Results Nationwide, 19,469 beneficiaries had babesiosis recorded, a rate of 6 per 100,000 person-years, ranging from 4 in 2006 to 9 in 2017 (p<0.05). The highest babesiosis rates were in: Massachusetts (62), Rhode Island (61), Connecticut (51), New York (30), and New Jersey (19). The highest rates by county were in: Nantucket, MA (1,089); Dukes, MA (236); Barnstable, MA (213); and Dutchess, NY (205). Increasing rates, from 2006 through 2017 (p<0.05), were identified in multiple states, including states previously considered non-endemic. New Hampshire, Maine, Vermont, Pennsylvania, and Delaware saw rates increase by several times. Conclusion Our 12-year study shows substantially increasing babesiosis diagnosis trends, with highest rates in well-established endemic states. It also suggests expansion of babesiosis infections in other states and highlights the utility of real-world evidence.

scholarly journals Timing of social distancing policies and COVID-19 mortality: county-level evidence from the U.S.

2021 ◽  
Author(s):  
Catalina Amuedo-Dorantes ◽  
Neeraj Kaushal ◽  
Ashley N. Muchow
Keyword(s):  
New York ◽  
Political Ideology ◽  
Death Rate ◽  
The United States ◽  
County Level ◽  
Level Data ◽  
Level Information ◽  
Alternative Measures ◽  
The U.S ◽  
Pharmaceutical Interventions

AbstractUsing county-level data on COVID-19 mortality and infections, along with county-level information on the adoption of non-pharmaceutical interventions (NPIs), we examine how the speed of NPI adoption affected COVID-19 mortality in the United States. Our estimates suggest that adopting safer-at-home orders or non-essential business closures 1 day before infections double can curtail the COVID-19 death rate by 1.9%. This finding proves robust to alternative measures of NPI adoption speed, model specifications that control for testing, other NPIs, and mobility and across various samples (national, the Northeast, excluding New York, and excluding the Northeast). We also find that the adoption speed of NPIs is associated with lower infections and is unrelated to non-COVID deaths, suggesting these measures slowed contagion. Finally, NPI adoption speed appears to have been less effective in Republican counties, suggesting that political ideology might have compromised their efficacy.

scholarly journals Dynamical model for social distancing in the U.S. during the COVID-19 epidemic

2020 ◽  
Vol 8 (1) ◽  
pp. 141-149
Author(s):  
Shirish M. Chitanvis
Keyword(s):  
New York ◽  
Monte Carlo ◽  
Temporal Evolution ◽  
Social Experiment ◽  
Social Distancing ◽  
Back Testing ◽  
Moderate Growth ◽  
Log Normal ◽  
Very High ◽  
The U.S

AbstractBackground Social distancing has led to a “flattening of the curve” in many states across the U.S. This is part of a novel, massive, global social experiment which has served to mitigate the COVID-19 pandemic in the absence of a vaccine or effective anti-viral drugs. Hence it is important to be able to forecast hospitalizations reasonably accurately.Methods We propose on phenomenological grounds a random walk/generalized diffusion equation which incorporates the effect of social distancing to describe the temporal evolution of the probability of having a given number of hospitalizations. The probability density function is log-normal in the number of hospitalizations, which is useful in describing pandemics where the number of hospitalizations is very high.Findings We used this insight and data to make forecasts for states using Monte Carlo methods. Back testing validates our approach, which yields good results about a week into the future. States are beginning to reopen at the time of submission of this paper and our forecasts indicate possible precursors of increased hospitalizations. However, the trends we forecast for hospitalizations as well as infections thus far show moderate growth.Additionally we studied the reproducibility Ro in New York (Italian strain) and California (Wuhan strain). We find that even if there is a difference in the transmission of the two strains, social distancing has been able to control the progression of COVID 19.

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