scholarly journals Modeling of the Number of Cold Fronts in Cuba Using the Objective Regressive Regression (ROR) Methodology; Impact of Sunspots

2021 ◽  
Vol 2 (9) ◽  
pp. 870-875
Author(s):  
Ricardo Oses Rodriguez ◽  
Rigoberto Fimia Duarte ◽  
Alfredo Gonzalez Meneses
Keyword(s):  
Standard Deviation ◽  
Linear Correlation ◽  
Winter Season ◽  
Variable Number ◽  
Enso Event ◽  
Significant Trend ◽  
Cold Fronts ◽  
Significant Linear Correlation ◽  
The Impact ◽  
Ror Model

The objective of this work is to model the variable number of cold fronts that affect the Cuban territory in a winter season for a long series of data, to establish if the trend is significant and to see which are the main statistics of the model, to observe the impact of prediction using the number of sunspots with the help of Objective Regressive ROR modeling. In this work, the series of cold fronts per season that affect the Cuban territory was modeled in the years from the 1916-1917 seasons to the 2006-2007 seasons. There are more moderate cold fronts than any other front, on average there are more classic fronts than any other type, on average 19 fronts can be presented per season with a standard deviation of 4.8 Sunspots and they only have a significant linear correlation with sunspots. In moderate fronts, as the stains increase, the number of fronts decreases. The ROR model explains 98% of the variance with an error of 4.2 cases and depends on the fronts returned in 5 seasons, which could coincide with the ENSO event, and also depends on the number of sunspots returned in 12 years. From 1916-1917 approximately the 1952-1953 season, moderate fronts predominated, later from 1953-1954 to the end of the data, weak fronts predominate over the rest with some exceptions throughout history. No significant trend was observed in the model. It is concluded that forecasts of the number of cold fronts can be made with the variable number of sunspots.

Should CD138 Immunohistochemistry be Standard Recommended Practice for Bone Marrow Evaluation of Plasma Cell Neoplasms?

2020 ◽  
Vol 154 (Supplement_1) ◽  
pp. S110-S110
Author(s):  
A Vijayanarayanan ◽  
K Inamdar ◽  
M Menon ◽  
P Kuriakose
Keyword(s):  
Bone Marrow ◽  
Plasma Cell ◽  
Linear Correlation ◽  
Plasma Cells ◽  
Pearson Correlation ◽  
Protein Electrophoresis ◽  
Pearson Correlation Coefficient ◽  
Cell Percentage ◽  
Significant Linear Correlation ◽  
Plasma Cell Neoplasms

Abstract Introduction/Objective Myeloma diagnosis by a pathologist requires 10% plasma cells (PC) or a biopsy proven plasmacytoma in addition to myeloma defining events. PC% > 60% is a biomarker of malignancy under this definition. WHO allows for assesment of plasma cell percentage either by aspirate count or by CD138 immunohistochemistry (IHC). There is lack of consensus on aspirate smear adequacy for PC% estimation. Uneven distribution of plasma cells, hemodilution and/or patchy infiltration can lead to gross underestimation. We compared PC% by aspirate count and CD138 IHC and established corelation with serum protein electrophoresis (SPEP) values. Methods 67 myeloma cases were included after excluding cases with suboptimal or inadequate aspirate smears. Two hematopathologists evaluated the diagnostic marrow (therapy naive) for PC% by aspirate count and CD138 IHC on biopsy/clot section. Corresponding SPEP and Free light chain (FLC) values were obtained. Correlation coefficent was calculated using Pearson correlation coefficient (GraphPad Prism). Results The Ig subtypes included IgG (41/67) and IgA (17/67). 12 cases had available FLC values. Both average and median PC% by CD138 IHC was considerably higher (50%, 52%) compared to aspirate count (29%, 21%). However, PC% by aspirate smear count and CD138 IHC demonstrated a significant linear correlation (r=0.71, p60% by CD138 (and not by aspirate count). Conclusion CD138 IHC based PC% is consistently higher, nevertheless, statistically significant linear corelation is observed between aspirate count PC% and CD138 IHC. A significant linear correlation is observed between CD138 IHC and SPEP (IgG and IgA), however, no such correlation is observed with aspirate count. More cases were diagnosed as myeloma (11%) and higher propotion of cases (35%) had biomarker of malignancy i.e. PC% >60% by CD138 IHC. Based on these findings, we propose estimation of PC% by CD138 immunostain be a recommended standard practice for better clinicopathologic and biologic correlation.

scholarly journals A CloudSat–CALIPSO View of Cloud and Precipitation Properties across Cold Fronts over the Global Oceans

2015 ◽  
Vol 28 (17) ◽  
pp. 6743-6762 ◽  
Author(s):  
Catherine M. Naud ◽  
Derek J. Posselt ◽  
Susan C. van den Heever
Keyword(s):  
Large Scale ◽  
Cold Front ◽  
Conveyor Belt ◽  
Low Level ◽  
Scale Parameters ◽  
Convective Clouds ◽  
Cold Fronts ◽  
Surface Front ◽  
High Level ◽  
The Impact

Abstract The distribution of cloud and precipitation properties across oceanic extratropical cyclone cold fronts is examined using four years of combined CloudSat radar and CALIPSO lidar retrievals. The global annual mean cloud and precipitation distributions show that low-level clouds are ubiquitous in the postfrontal zone while higher-level cloud frequency and precipitation peak in the warm sector along the surface front. Increases in temperature and moisture within the cold front region are associated with larger high-level but lower mid-/low-level cloud frequencies and precipitation decreases in the cold sector. This behavior seems to be related to a shift from stratiform to convective clouds and precipitation. Stronger ascent in the warm conveyor belt tends to enhance cloudiness and precipitation across the cold front. A strong temperature contrast between the warm and cold sectors also encourages greater post-cold-frontal cloud occurrence. While the seasonal contrasts in environmental temperature, moisture, and ascent strength are enough to explain most of the variations in cloud and precipitation across cold fronts in both hemispheres, they do not fully explain the differences between Northern and Southern Hemisphere cold fronts. These differences are better explained when the impact of the contrast in temperature across the cold front is also considered. In addition, these large-scale parameters do not explain the relatively large frequency in springtime postfrontal precipitation.

Analysis of the breakage rate function for selected process parameters in quartzite milling

2012 ◽  
Vol 33 (1) ◽  
pp. 117-129 ◽  
Author(s):  
Tomasz Olejnik
Keyword(s):  
Process Parameters ◽  
Rate Function ◽  
Variable Number ◽  
Specific Rate ◽  
Gardner Equation ◽  
Contact Points ◽  
Batch System ◽  
Grinding Media ◽  
Breakage Rate ◽  
The Impact

Analysis of the breakage rate function for selected process parameters in quartzite milling The paper presents the results of studies on quartzite milling in a ball mill. The milling was conducted in a batch system, for diversified compositions of balls. The milling product was subjected to granulometrical, morphological and strength analyses. On the basis of the developed Reid's theory and using the Austin-Gardner equation, a form of the function circumscribing the specific rate of comminution of selected size fractions was determined. The values of the breakage rate function bi, j for the mill's apparatus conditions were determined. The impact was investigated for a variable number of grinding media contact points on the values of specific rate S and the values of the breakage rate function bi, j. Furthermore, the values of coefficients occurring in the equations circumscribing the specific rate of milling S and breakage parameter bi, j were determined.

Buried seed populations in the montane, subalpine, and alpine belts of Mont Jacques-Cartier, Quebec

1988 ◽  
Vol 66 (1) ◽  
pp. 101-107 ◽  
Author(s):  
Hubert Morin ◽  
Serge Payette
Keyword(s):  
Seed Bank ◽  
Linear Correlation ◽  
Altitudinal Gradient ◽  
Number Of Species ◽  
Significant Linear Correlation ◽  
Seed Population ◽  
Close Relationship ◽  
Buried Seed ◽  
Study Sites ◽  
Number Of Seeds

The analysis of the total buried seed population along an altitudinal gradient in the Mont Jacques-Cartier area, southern Quebec, reveals a close relationship between buried seed flora and aboveground vegetation. Eighty-one percent of the species present in the total buried seed population were present in the aboveground vegetation of the study sites. The total number of seeds in the buried seed population, the number of species in the total buried seed population, and the number of seeds and species in the seed bank did not show any significant linear correlation with altitude. A shift from a boreal to an arctic–alpine buried seed population with increasing altitude was observed, instead of a decrease in seed bank size.

Field survey on frost damage to roof tiles under climatic conditions

2016 ◽  
Vol 34 (2) ◽  
pp. 135-149 ◽  
Author(s):  
Chiemi Iba ◽  
Ayumi Ueda ◽  
Shuichi Hokoi
Keyword(s):  
Field Survey ◽  
Winter Season ◽  
Frost Damage ◽  
Climatic Conditions ◽  
Weather Data ◽  
Measured Temperature ◽  
Content Type ◽  
Roof Tile ◽  
Deterioration Process ◽  
The Impact

Purpose – Frost damage is well-known as the main cause of roof tile deterioration. The purpose of this paper is to develop an analytical model for predicting the deterioration process under certain climatic conditions. This paper describes the results of a field survey conducted to acquire fundamental information useful to this aim. Design/methodology/approach – A field survey of roof tile damage by freezing was conducted in an old temple precinct in Kyoto, Japan. Using detailed observations and photographic recordings, the damage progress was clarified. To examine the impact of climatic conditions upon the damage characteristics, weather data and roof tile temperatures were measured and logged in the winter season. Findings – The deterioration process was observed under the climatic conditions associated with the measured temperature of the roof tiles. In particular, it was revealed that the orientation has a significant influence on increasing or decreasing the risk of frost damage. For certain distinctive forms of damage, the deterioration mechanisms were estimated from the viewpoint of the moisture flow and temperature distribution in the tile. Originality/value – This study contributes to the elucidation of the mechanism behind frost damage to roof tiles. The findings will guide the construction of a numerical model for frost damage prediction.

scholarly journals 1414. #Vaccine Twitter Influencers: is it Just About Reach and Followers?

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S714-S715
Author(s):  
Jean-Etienne Poirrier ◽  
Theodore Caputi ◽  
John Ayers ◽  
Mark Dredze ◽  
Sara Poston ◽  
...  
Keyword(s):  
United States ◽  
Social Media ◽  
Standard Deviation ◽  
Small Proportion ◽  
The United States ◽  
Research Support ◽  
Policy Makers ◽  
Media Messages ◽  
Social Media Platforms ◽  
The Impact

Abstract Background A small number of powerful users (“influencers”) dominates conversations on social media platforms: less than 1% of Twitter accounts have at least 3,000 followers and even fewer have hundreds of thousands or millions of followers. Beyond simple metrics (number of tweets, retweets...) little is known about these “influencers”, particularly in relation to their role in shaping online narratives about vaccines. Our goal was to describe influential Twitter accounts that are driving conversations about vaccines and present new metrics of influence. Methods Using publicly-available data from Twitter, we selected posts from 1-Jan-2016 to 31-Dec-2018 and extracted the top 5% of accounts tweeting about vaccines with the most followers. Using automated classifiers, we determined the location of these accounts, and grouped them into those that primarily tweet pro- versus anti-vaccine content. We further characterized the demographics of these influencer accounts. Results From 25,381 vaccine-related tweets available in our sample representing 10,607 users, 530 accounts represented the top 5% by number of followers. These accounts had on average 1,608,637 followers (standard deviation=5,063,421) and 340,390 median followers. Among the accounts for which sentiment was successfully estimated by the classifier, 10.4% (n=55) posted anti-vaccine content and 33.6% (n=178) posted pro-vaccine content. Of the 55 anti-vaccine accounts, 50% (n=18) of the accounts for which location was successfully determined were from the United States. Of the 178 pro-vaccine accounts, 42.5% (n=54) were from the United States. Conclusion This study showed that only a small proportion of Twitter accounts (A) post about vaccines and (B) have a high follower count and post anti-vaccine content. Further analysis of these users may help researchers and policy makers better understand how to amplify the impact of pro-vaccine social media messages. Disclosures Jean-Etienne Poirrier, PhD, MBA, The GSK group of companies (Employee, Shareholder) Theodore Caputi, PhD, Good Analytics Inc. (Consultant) John Ayers, PhD, GSK (Grant/Research Support) Mark Dredze, PhD, Bloomberg LP (Consultant)Good Analytics (Consultant) Sara Poston, PharmD, The GlaxoSmithKline group of companies (Employee, Shareholder) Cosmina Hogea, PhD, GlaxoSmithKline (Employee, Shareholder)

scholarly journals Climate Change Implications Found in Winter Extreme Sea Level Height Records around Korea

2021 ◽  
Vol 9 (4) ◽  
pp. 377
Author(s):  
Dong Eun Lee ◽  
Jaehee Kim ◽  
Yujin Heo ◽  
Hyunjin Kang ◽  
Eun Young Lee
Keyword(s):  
Climate Change ◽  
Thermal Expansion ◽  
Sea Level ◽  
El Niño ◽  
El Nino ◽  
Winter Season ◽  
Storm Tracks ◽  
Daily Maximum ◽  
The Impact ◽  
Level Height

The impact of climatic variability in atmospheric conditions on coastal environments accompanies adjustments in both the frequency and intensity of coastal storm surge events. The top winter season daily maximum sea level height events at 20 tidal stations around South Korea were examined to assess such impact of winter extratropical cyclone variability. As the investigation focusses on the most extreme sea level events, the impact of climate change is found to be invisible. It is revealed that the measures of extreme sea level events—frequency and intensity—do not correlate with the local sea surface temperature anomalies. Meanwhile, the frequency of winter extreme events exhibits a clear association with the concurrent climatic indices. It was determined that the annual frequency of the all-time top 5% winter daily maximum sea level events significantly and positively correlates with the NINO3.4 and Pacific Decadal Oscillation (PDO) indices at the majority of the 20 tidal stations. Hence, this indicates an increase in extreme event frequency and intensity, despite localized temperature cooling. This contradicts the expectation of increases in local extreme sea level events due to thermal expansion and global climate change. During El Nino, it is suggested that northward shifts of winter storm tracks associated with El Nino occur, disturbing the sea level around Korea more often. The current dominance of interannual storm track shifts, due to climate variability, over the impact of slow rise on the winter extreme sea level events, implies that coastal extreme sea level events will change through changes in the mechanical drivers rather than thermal expansion. The major storm tracks are predicted to continue shifting northward. The winter extreme sea level events in the midlatitude coastal region might not go through a monotonic change. They are expected to occur more often and more intensively in the near future, but might not continue doing so when northward shifting storm tracks move away from the marginal seas around Korea, as is predicted by the end of the century.

scholarly journals QuikSCAT Impacts on Coastal Forecasts and Warnings: Operational Utility of Satellite Ocean Surface Vector Wind Data

2008 ◽  
Vol 23 (5) ◽  
pp. 878-890 ◽  
Author(s):  
Ralph F. Milliff ◽  
Peter A. Stamus
Keyword(s):  
Survey Design ◽  
Weather Prediction ◽  
Winter Season ◽  
Late Summer ◽  
Weather Forecast ◽  
Ocean Surface ◽  
Site Visit ◽  
Island States ◽  
The Impact ◽  
Vector Wind

Abstract This study reports on the operational utility of ocean surface vector wind (SVW) data from Quick Scatterometer (QuikSCAT) observations in the National Oceanic and Atmospheric Administration (NOAA) National Weather Service (NWS) Weather Forecast Offices (WFOs) covering the coastal United States, including island states and territories. Thirty-three U.S. coastal WFOs were surveyed, and 16 WFO site visits were conducted, from late summer 2005 to the 2005/06 winter season, in order to quantify the impact of QuikSCAT SVW data on forecasts and warnings, with a particular focus on operations affecting marine users. Details of the survey design and site visit strategies are described. Survey results are quantified and site visit impressions are discussed. Key findings include (i) QuikSCAT data supplement primary datasets and numerical weather prediction fields, in the manual production of local public (weather) and marine forecasts and warnings; (ii) operational utility of satellite SVW data would be enhanced by SVW retrievals of finer temporal resolution, closer to the coasts; and (iii) rain flags in the SVW data have little impact on utility for WFO operations.

scholarly journals Political Polarization and Movie Ratings: Web Scraping The Brazilian Contemporary Scenario

2020 ◽  
Author(s):  
Bruno De Oliveira Chagas ◽  
Ana Paula Moritz
Keyword(s):  
Standard Deviation ◽  
Political Polarization ◽  
Web Scraping ◽  
Movie Ratings ◽  
The Impact

Our work aims to analyze the impact of political polarization on movieratings at the IMDB platform. For that we explore the concepts of Word ofMouth and Buzz marking the important role they play on polarized opinionsin movie ratings.We develop a code on python to perform web-scrapping onthe sample scope of Brazilian movies and interpret the data collected using acontroversiality index based on standard deviation. The outcome sheds somelight into the relation between Buzz and Controversiality within theframework of Brazil’s current political scenario.

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