scholarly journals Seasonal patterns in nutrients, carbon, and algal responses in wadeable streams within three geographically distinct areas of the United States, 2007-08

2012 ◽  
Author(s):  
Kathy E. Lee ◽  
David L. Lorenz ◽  
James C. Petersen ◽  
John B. Greene
Keyword(s):  
United States ◽  
The United States ◽  
Seasonal Patterns ◽  
Wadeable Streams

Seasonal Patterns of Spontaneous Abortion

1992 ◽  
Vol 24 (1) ◽  
pp. 71-76 ◽  
Author(s):  
Jeffrey E. Kallan ◽  
Eugene A. Enneking
Keyword(s):  
United States ◽  
Spontaneous Abortion ◽  
National Survey ◽  
Seasonal Pattern ◽  
The United States ◽  
Seasonal Patterns ◽  
Family Growth ◽  
Using Data

SummaryThe presence of a seasonal pattern of spontaneous abortion in the United States was found using data from the two most recent cycles of the National Survey of Family Growth (USA). The pattern was bimodal with peaks in March and August.

scholarly journals Spatial and seasonal patterns in urban influence on regional concentrations of speciated aerosols across the United States

2014 ◽  
Vol 119 (22) ◽  
pp. 12,832-12,849 ◽  
Author(s):  
J. L. Hand ◽  
B. A. Schichtel ◽  
W. C. Malm ◽  
M. Pitchford ◽  
N. H. Frank
Keyword(s):  
United States ◽  
The United States ◽  
Seasonal Patterns

scholarly journals 1331. Seasonality of Common Human Coronaviruses in the United States, 2014-2021

2021 ◽  
Vol 8 (Supplement_1) ◽  
pp. S753-S754
Author(s):  
Melisa Shah ◽  
Amber K Haynes ◽  
Rebecca M Dahl ◽  
Krista Kniss ◽  
Benjamin Silk ◽  
...  
Keyword(s):  
United States ◽  
Surveillance System ◽  
Enteric Virus ◽  
The United States ◽  
Mitigation Measures ◽  
Seasonal Patterns ◽  
Human Coronavirus ◽  
Virus Surveillance ◽  
Percent Positivity ◽  
Syncytial Virus

Abstract Background The four common human coronavirus (HCoV) types, including two alpha (NL63 and 229E) and two beta (HKU1 and OC43) coronaviruses, generally cause mild, upper respiratory illness. Common HCoV seroprevalence increases rapidly during the first five years of life and remains high throughout adulthood. HCoVs are known to have seasonal patterns, with variation in predominant types each year, but more defined measures of seasonality are needed. Methods We describe laboratory detection, percent positivity, and seasonality of the four common HCoVs during July 2014 to May 2021 in the United States reported to the National Respiratory and Enteric Virus Surveillance System (NREVSS). We also describe age, sex, and co-detection with other respiratory viruses for a subset of specimens available through the Public Health Laboratory Interoperability Project (PHLIP). We used a method previously validated for respiratory syncytial virus, characterized by a centered 5-week moving average and normalization to peak, to define seasonal inflections, including season onset, peak, and offset. Results Any HCoV type was detected in 96,336 (3.4%) of 2,487,736 specimens. Predominant common HCoV types fluctuated by surveillance year (Figure 1) and were generally consistent across geographic regions. In a subset of 4,576 specimens with a common HCoV detection, those with type 229E had a higher median age compared to other HCoV types (30.8 versus 24.8 years, p< 0.001), but there were no differences by sex. Influenza was the most commonly co-detected virus. In the last six complete HCoV seasons, onsets ranged from October to November, peaks from January to February, and offsets from April to June; >95% of all HCoV detections occurred within these ranges. The 2020-2021 common HCoV season onset, dominated by types NL63 and OC43, was delayed by approximately two months compared to prior seasons. Figure 1. The top panel represents total specimens tested and the bottom panel shows percent positivity of the four common human coronavirus (HCoV) types by week starting July 5, 2014 through May 8, 2021. Data are from the National Respiratory and Enteric Virus Surveillance System (NREVSS). Conclusion Common HCoVs demonstrate relatively consistent seasonal patterns. The delayed onset of the 2020-2021 season may be attributable to mitigation measures implemented across the US including masking, improved hand hygiene, and social distancing. Better defining HCoV seasonality can inform clinical preparedness and testing practices and may provide insights into the behavior of emerging coronaviruses. Disclosures All Authors: No reported disclosures

scholarly journals Seasonal patterns of Asthma medication fills among diverse populations of the United States

2017 ◽  
Vol 55 (7) ◽  
pp. 764-770 ◽  
Author(s):  
Kedir N. Turi ◽  
Tebeb Gebretsadik ◽  
Rees L. Lee ◽  
Tina V. Hartert ◽  
Amber M. Evans ◽  
...  
Keyword(s):  
United States ◽  
The United States ◽  
Asthma Medication ◽  
Seasonal Patterns ◽  
Diverse Populations

Mo1383 Seasonal Patterns of Inflammatory Bowel Disease in the United States: Consistency in Admission Rates

2016 ◽  
Vol 150 (4) ◽  
pp. S1230
Author(s):  
John V. Gahagan ◽  
Katherine Stern ◽  
Matthew Whealon ◽  
Alessio Pigazzi ◽  
Joseph C. Carmichael ◽  
...  
Keyword(s):  
United States ◽  
Inflammatory Bowel Disease ◽  
Bowel Disease ◽  
The United States ◽  
Seasonal Patterns ◽  
Admission Rates ◽  
Inflammatory Bowel

Correlative microscopy in distrubuted (client/server) computing environments: tools for catalyzing the rapid dissemination of information about the cell biology of the human prostate

1995 ◽  
Vol 53 ◽  
pp. 682-683
Author(s):  
A. Hakam ◽  
J.T. Gau ◽  
M.L. Grove ◽  
B.A. Evans ◽  
M. Shuman ◽  
...  
Keyword(s):  
United States ◽  
Cell Biology ◽  
Tissue Bank ◽  
The United States ◽  
Prostate Adenocarcinoma ◽  
Correlative Microscopy ◽  
Client Server ◽  
Critical Elements ◽  
Transplant Organ

Prostate adenocarcinoma is the most common malignant tumor of men in the United States and is the third leading cause of death in men. Despite attempts at early detection, there will be 244,000 new cases and 44,000 deaths from the disease in the United States in 1995. Therapeutic progress against this disease is hindered by an incomplete understanding of prostate epithelial cell biology, the availability of human tissues for in vitro experimentation, slow dissemination of information between prostate cancer research teams and the increasing pressure to “ stretch” research dollars at the same time staff reductions are occurring.To meet these challenges, we have used the correlative microscopy (CM) and client/server (C/S) computing to increase productivity while decreasing costs. Critical elements of our program are as follows:1) Establishing the Western Pennsylvania Genitourinary (GU) Tissue Bank which includes >100 prostates from patients with prostate adenocarcinoma as well as >20 normal prostates from transplant organ donors.

Digital image acquisition, processing, and analysis in a polymer microscopy laboratory

1994 ◽  
Vol 52 ◽  
pp. 454-455
Author(s):  
Vinod K. Berry ◽  
Xiao Zhang
Keyword(s):  
United States ◽  
Image Analysis ◽  
Digital Image ◽  
Image Acquisition ◽  
Image Transmission ◽  
The United States ◽  
Quantitative Image Analysis ◽  
Quantitative Image

In recent years it became apparent that we needed to improve productivity and efficiency in the Microscopy Laboratories in GE Plastics. It was realized that digital image acquisition, archiving, processing, analysis, and transmission over a network would be the best way to achieve this goal. Also, the capabilities of quantitative image analysis, image transmission etc. available with this approach would help us to increase our efficiency. Although the advantages of digital image acquisition, processing, archiving, etc. have been described and are being practiced in many SEM, laboratories, they have not been generally applied in microscopy laboratories (TEM, Optical, SEM and others) and impact on increased productivity has not been yet exploited as well.In order to attain our objective we have acquired a SEMICAPS imaging workstation for each of the GE Plastic sites in the United States. We have integrated the workstation with the microscopes and their peripherals as shown in Figure 1.

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