scholarly journals Spatially compounded surge events: an example from hurricanes Matthew and Florence

2021 ◽  
Vol 21 (6) ◽  
pp. 1759-1767
Author(s):  
Scott Curtis ◽  
Kelley DePolt ◽  
Jamie Kruse ◽  
Anuradha Mukherji ◽  
Jennifer Helgeson ◽  
...  
Keyword(s):  
North Carolina ◽  
Tide Gauges ◽  
Limited Data ◽  
Data Set ◽  
Storm Tide ◽  
Hazard Management ◽  
Spatial Compounding ◽  
Semivariogram Analysis ◽  
Management Domain ◽  
Eastern North Carolina

Abstract. The simultaneous rise of tropical-cyclone-induced flood waters across a large hazard management domain can stretch rescue and recovery efforts. Here we present a means to quantify the connectedness of maximum surge during a storm with geospatial statistics. Tide gauges throughout the extensive estuaries and barrier islands of North Carolina deployed and operating during hurricanes Matthew (n=82) and Florence (n=123) are used to compare the spatial compounding of surge for these two disasters. Moran's I showed the occurrence of maximum storm tide was more clustered for Matthew compared to Florence, and a semivariogram analysis produced a spatial range of similarly timed storm tide that was 4 times as large for Matthew than Florence. A more limited data set of fluvial flooding and precipitation in eastern North Carolina showed a consistent result – multivariate flood sources associated with Matthew were more concentrated in time as compared to Florence. Although Matthew and Florence were equally intense, they had very different tracks and speeds which influenced the timing of surge along the coast.

scholarly journals Spatially Compounded Surge Events: An Example from Hurricanes Matthew and Florence

2021 ◽  
Author(s):  
Scott Curtis ◽  
Kelley DePolt ◽  
Jamie Kruse ◽  
Anuradha Mukherji ◽  
Jennifer Helgeson ◽  
...  
Keyword(s):  
North Carolina ◽  
Limited Data ◽  
Data Set ◽  
Storm Tide ◽  
Hazard Management ◽  
Spatial Compounding ◽  
Semivariogram Analysis ◽  
Management Domain ◽  
Landfalling Tropical Cyclones ◽  
Eastern North Carolina

Abstract. The simultaneous rise of tropical cyclone induced flood waters across a large hazard management domain can stretch rescue and recovery efforts. Here we present a means to quantify the connectedness of maximum surge during a storm with geospatial statistics. Tide gauges throughout the extensive estuaries and barrier islands of North Carolina deployed and operating during Hurricanes Matthew (n = 82) and Florence (n = 123) are used to compare the spatial compounding of surge for these two disasters. Moran's I showed the occurrence of maximum storm tide was more clustered for Matthew compared to Florence, and a semivariogram analysis produced a spatial range of similarly timed storm tide that was four times as large for Matthew than Florence. A more limited data set of fluvial flooding and precipitation in eastern North Carolina showed a consistent result – multivariate flood sources associated with Matthew were more concentrated in time as compared to Florence. Although Matthew and Florence were equally intense, they had very different tracks and speeds, which influenced the timing of surge along the coast. We hope this method could be used for other landfalling tropical cyclones to better understand the drivers that lead to spatially compounded surge events.

Analysis and prediction of storm water levels in Delaware inland bays

Shore & Beach ◽  
2019 ◽  
pp. 29-35
Author(s):  
Michele Strazzella ◽  
Nobuhisa Kobayashu ◽  
Tingting Zhu
Keyword(s):  
Analytical Model ◽  
Tide Gauge ◽  
Hurricane Sandy ◽  
Water Levels ◽  
Tide Gauges ◽  
Storm Tide ◽  
Barrier Beach ◽  
Wave Overtopping ◽  
Inland Bays ◽  
Damping Parameter

A simple approach based on an analytical model and available tide gauge data is proposed for the analysis of storm tide damping inside inland bays with complex bathymetry and for the prediction of peak water levels at gauge locations during storms. The approach was applied to eight tide gauges in the vicinity of inland bays in Delaware. Peak water levels at the gauge locations were analyzed for 34 storms during 2005-2017. A damping parameter in the analytical model was calibrated for each bay gauge. The calibrated model predicted the peak water levels within errors of about 0.2 m except for Hurricane Sandy in 2012. The analytical model including wave overtopping was used to estimate the peak wave overtopping rate over the barrier beach from the measured peak water level in the adjacent bay.

scholarly journals Extreme geomagnetic activities: a statistical study

2020 ◽  
Vol 72 (1) ◽  
Author(s):  
Ryuho Kataoka
Keyword(s):  
Magnetic Storms ◽  
Magnetic Observatory ◽  
Statistical Distributions ◽  
Limited Data ◽  
Data Set ◽  
Sudden Commencements ◽  
The One ◽  
Log Normal ◽  
Geomagnetic Activities ◽  
Log Normal Distribution

Abstract Statistical distributions are investigated for magnetic storms, sudden commencements (SCs), and substorms to identify the possible amplitude of the one in 100-year and 1000-year events from a limited data set of less than 100 years. The lists of magnetic storms and SCs are provided from Kakioka Magnetic Observatory, while the lists of substorms are obtained from SuperMAG. It is found that majorities of events essentially follow the log-normal distribution, as expected from the random output from a complex system. However, it is uncertain that large-amplitude events follow the same log-normal distributions, and rather follow the power-law distributions. Based on the statistical distributions, the probable amplitudes of the 100-year (1000-year) events can be estimated for magnetic storms, SCs, and substorms as approximately 750 nT (1100 nT), 230 nT (450 nT), and 5000 nT (6200 nT), respectively. The possible origin to cause the statistical distributions is also discussed, consulting the other space weather phenomena such as solar flares, coronal mass ejections, and solar energetic particles.

scholarly journals Antimicrobial Susceptibility Profiles and Strain Type Diversity of Campylobacter jejuni Isolates from Turkeys in Eastern North Carolina

2008 ◽  
Vol 75 (2) ◽  
pp. 474-482 ◽  
Author(s):  
Weimin Gu ◽  
Robin M. Siletzky ◽  
Sandra Wright ◽  
Mohammed Islam ◽  
Sophia Kathariou
Keyword(s):  
North Carolina ◽  
Campylobacter Jejuni ◽  
Drug Of Choice ◽  
Ca 50 ◽  
Strain Type ◽  
Eastern North Carolina ◽  
Susceptibility Profiles ◽  
Genomic Cluster ◽  
Sequence Types ◽  
Human Campylobacteriosis

ABSTRACT Campylobacter jejuni is one of the most common bacterial causes of human gastroenteritis, and recent findings suggest that turkeys are an important reservoir for this organism. In this study, 80 C. jejuni isolates from eastern North Carolina were characterized for resistance to nine antimicrobials, and strain types were determined by fla typing, pulsed-field gel electrophoresis (PFGE) with SmaI and KpnI, and (for 41 isolates) multilocus sequence typing (MLST). PFGE analysis suggested that many of the isolates (37/40 [ca. 93%]) in a major genomic cluster had DNA that was partially methylated at SmaI sites. Furthermore, 12/40 (30%) of the isolates in this cluster were completely resistant to digestion by KpnI, suggesting methylation at KpnI sites. MLST of 41 isolates identified 10 sequence types (STs), of which 4 were new. Three STs (ST-1839, ST-2132 and the new ST-2934) were predominant and were detected among isolates from different farms. The majority of the isolates (74%) were resistant to three or more antimicrobials, and resistance to ciprofloxacin was common (64%), whereas resistance to the other drug of choice for treatment of human campylobacteriosis, erythromycin, was never encountered. Most (33/34) of the kanamycin-resistant isolates were also resistant to tetracycline; however, only ca. 50% of the tetracycline-resistant isolates were also kanamycin resistant. Isolates with certain antimicrobial resistance profiles had identical or closely related strain types. Overall, the findings suggest dissemination of certain clonal groups of C. jejuni isolates in the turkey production industry of this region.

Abstract WP345: Stroke Risk Factors Screening and Education: A Regional Strategy to Address Stroke Prevalence and Mortality in Eastern North Carolina

Stroke ◽  
2013 ◽  
Vol 44 (suppl_1) ◽  
Author(s):  
Terry M Congleton ◽  
Cristine W Small ◽  
Susan D Freeman
Keyword(s):  
Risk Factors ◽  
North Carolina ◽  
Stroke Risk ◽  
Stroke Mortality ◽  
Transient Ischemia ◽  
Stroke Risk Factor ◽  
Stroke Risk Factors ◽  
Regional Collaboration ◽  
Stroke Prevalence ◽  
Eastern North Carolina

Background: Eastern North Carolina (ENC) stroke mortality is 12 percent higher than the rest of the state. Often, geographical and sociological barriers prevent people residing in our rural communities from seeking routine health care. Stroke risk factors are known. The purpose of this initiative is to reduce the stroke prevalence and mortality in ENC through community risk factors screening and education. Methods: Medical center volunteers’ staff the screening and volunteer hours are recorded in a community benefit database. Each participant completes a standardized evidenced based assessment. Information collected at each screening includes demographic data, cardiovascular history, knowledge of stroke/transient ischemia signs and symptoms. Clinical metrics obtained are finger stick for random lipid panel and blood glucose, body mass index, hip to waist ratio and carotid bruit screen. Based on the screening results, education, recommendations and referrals are reviewed with every participant. Results: From 2007-2010 the screening volume doubled. In 2011, there was a reduction in screening volume as our system hospitals expanded their community stroke outreach efforts. Approximately 4900 community screenings have been conducted from 2007-2011. Elevated blood pressure and cholesterol respectively are most frequently occurring stroke risks factor found, which is consistent with national trends. Stroke mortality has decreased in the region while transient ischemia attack admissions volume has increased at our certified primary stroke center and regional referral center. Conclusions: In conclusion, primary and secondary prevention through community outreach education, risk factors screening and regional collaboration has made a difference. The region has seen a decrease in stroke prevalence and mortality in ENC. Further reduction is necessary to continue to make an even greater impact. Future directions for the stroke risk factor identification screening is to further integrate community efforts and seeks grant opportunities to establish stroke prevention and management clinics throughout the region.

In vitro effectiveness of biapenem against IMP-producing Enterobacteriaceae

2021 ◽  
Vol 70 (10) ◽  
Author(s):  
Kazuyoshi Gotoh ◽  
Makoto Miyoshi ◽  
I Putu Bayu Mayura ◽  
Koji Iio ◽  
Osamu Matsushita ◽  
...  
Keyword(s):  
Therapeutic Option ◽  
Small Data ◽  
Limited Data ◽  
Data Set ◽  
Content Type ◽  
Link Type ◽  
Almost All ◽  
New Treatments ◽  
Time Kill

The options available for treating infections with carbapenemase-producing Enterobacteriaceae (CPE) are limited; with the increasing threat of these infections, new treatments are urgently needed. Biapenem (BIPM) is a carbapenem, and limited data confirming its in vitro killing effect against CPE are available. In this study, we examined the minimum inhibitory concentrations (MICs) and minimum bactericidal concentrations (MBCs) of BIPM for 14 IMP-1-producing Enterobacteriaceae strains isolated from the Okayama region in Japan. The MICs against almost all the isolates were lower than 0.5 µg ml−1, indicating susceptibility to BIPM, while approximately half of the isolates were confirmed to be bacteriostatic to BIPM. However, initial killing to a 99.9 % reduction was observed in seven out of eight strains in a time–kill assay. Despite the small data set, we concluded that the in vitro efficacy of BIPM suggests that the drug could be a new therapeutic option against infection with IMP-producing CPE.

Identifying and intercepting health misinformation on Reddit dermatology forums with artificially intelligent bots using natural language processing (Preprint)

2021 ◽  
Author(s):  
Monique B. Sager ◽  
Aditya M. Kashyap ◽  
Mila Tamminga ◽  
Sadhana Ravoori ◽  
Christopher Callison-Burch ◽  
...  
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
The United States ◽  
Test Accuracy ◽  
Limited Data ◽  
Test Environment ◽  
Data Set ◽  
Inappropriate Care ◽  
Processing Techniques

BACKGROUND Reddit, the fifth most popular website in the United States, boasts a large and engaged user base on its dermatology forums where users crowdsource free medical opinions. Unfortunately, much of the advice provided is unvalidated and could lead to inappropriate care. Initial testing has shown that artificially intelligent bots can detect misinformation on Reddit forums and may be able to produce responses to posts containing misinformation. OBJECTIVE To analyze the ability of bots to find and respond to health misinformation on Reddit’s dermatology forums in a controlled test environment. METHODS Using natural language processing techniques, we trained bots to target misinformation using relevant keywords and to post pre-fabricated responses. By evaluating different model architectures across a held-out test set, we compared performances. RESULTS Our models yielded data test accuracies ranging from 95%-100%, with a BERT fine-tuned model resulting in the highest level of test accuracy. Bots were then able to post corrective pre-fabricated responses to misinformation. CONCLUSIONS Using a limited data set, bots had near-perfect ability to detect these examples of health misinformation within Reddit dermatology forums. Given that these bots can then post pre-fabricated responses, this technique may allow for interception of misinformation. Providing correct information, even instantly, however, does not mean users will be receptive or find such interventions persuasive. Further work should investigate this strategy’s effectiveness to inform future deployment of bots as a technique in combating health misinformation. CLINICALTRIAL N/A

Sign in / Sign up

Export Citation Format

Share Document