55 research outputs found
Structural assumptions underlying Fishbein's expectancy-value model of attitudes / 207
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Previous issue date:Includes bibliographical references (p. 13-14)
On a subspace of dual Zariski topology
Let R be a commutative ring with identity and S pee (M) (resp. Min(M)) denote the set of all second (resp minimal) submodules of a non-zero R-module M. In this paper, we investigate several properties of the subspace topology on Min(M) induced by the dual Zariski on S pee(M) and determine some cases in which Min(M) is a max-spectral space
Experimental Research on Rubble Stone Masonry Walls
This research was developed in the Structural Laboratory of DEC-FCT/UNL, and the first author was supported by a scholarship through the Program 2/5.3/PRODEP/2002. The authors are grateful to the following industrial companies, which sponsored the majority of the experimental work: Grupo Edifer; Secil Outão, SA; Secil Martingança, Lda; Lusical, SA; Tecnasol-FGE, SA; Betopal, SA; Tecnima-Enerpac; Betão LIZ, SA; SPGO Lda; Cimianto, SA; Lusoceram, SA; Construtora do Infantado, Lda; Ensul, SA; SIKA Portugal, SA; Degussa -Bettor MBT, SA; Codimetal, SA; Vimaplás, Lda; Fradical, Lda; Dywidag, SA; Parapedra, Lda; Somator, Lda; J. Piteira, Lda and F. F. Caçador, Lda.authorsversionpublishe
COVID-19 mortality correlation with cloudiness, sunlight, latitude in European countries
"COVID-19 mortality correlation with cloudiness, sunlight, latitude in European countries"
Dataset for preprint titled
"COVID-19 mortality: positive correlation with cloudiness but no correlation with sunlight and latitude in Europe"
https://doi.org/10.1101/2021.01.27.21250658
by SECIL OMER, ADRIAN IFTIME, VICTOR BURCEA
Corresponding author: A. Iftime, University of Medicine and Pharmacy "Carol Davila", Biophysics Department, 8 Blvd. Eroii Sanitari, 050474 Bucharest, Romania. Email address: adrian.iftime [at] umfcd.ro.
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Dataset file:
2.0.0.COVID-19_Mortality_Cloudiness_Insolation_EUROPE_March_December_2020.csv
Dataset graphical preview:
2.0.0.INFOGRAPHIC_CloudFraction_vs_COVID-19_mortality_Europe_March-December_2020.png
DATASET:
444 rows (records), with the following fields:
"Country" :
Country name; 37 European countries included.
"Date":
Date stamp at the collection time.
Data collection was performed in the last day of every month.
Date format: YYYY-MM-DD
"Month_Key" :
Date stamp at the collection time, formatted for easier monthly time series analysis.
Date format: YYYY-MM
"Month_Fct2020"
Date stamp at the collection time,formatted for easier graphing, as a string with names of the months
(in English).
"Deaths_per_1Mpop" :
Monthly mortality from COVID-19 raported in the country,
reported as number of COVID-19 deaths per 1 million population of the country,
in that particular month / country.
NB: it is reported as million population, not patients.
"LogDeaths_per_1Mpop" :
Log10 transformation of "Deaths_per_1Mpop"
"Insolation_Average" :
Insolation average (solar irradiance at ground level),
in that particular month / country.
It is expressed in Watt / square meter of the ground surface.
Data derived from data avaialble at NASA Langley Research Center, NASA’s Earth Observatory,
CERES / FLASHFlux team, 2020,
https://neo.gsfc.nasa.gov/view.php?datasetId=CERES_INSOL_M
(old link: https://neo.sci.gsfc.nasa.gov/view.php?datasetId=CERES_INSOL_M )
"Cloud_Fraction" :
Cloudiness (also known as cloud fraction, cloud cover, cloud amount or sky cover),
as decimal fraction of the sky obscured by clouds,
in that particular month / country.
Data derived from NASA Goddard Space Flight Center, NASA’s Earth Observatory,
MODIS Atmosphere Science Team, 2020,
https://neo.gsfc.nasa.gov/view.php?datasetId=MODAL2_M_CLD_FR
(old link: https://neo.sci.gsfc.nasa.gov/view.php?datasetId=MODAL2_M_CLD_FR )
"CENTR_latitude" and
"CENTR_longitude" :
Latitude and Longitude of the country centroid, for each country.
Data derived from Google LLC, "Dataset publishing language: country centroids",
https://developers.google.com/public-data/docs/canonical/countries_csv
NOTE: This is identical in every month (obviuously);
it is redundantly included for easier monthly sectional analysis of the data.
===========
Versioning of the dataset:
MAJOR: changes yearly; 1 = 2020
MINOR: changes if new monthly data is added in that particular year.
PATCH: Changes only if errors or minor edits were performed.
===========
CHANGELOG:
Version 2.0.0.COVID-19_Mortality_Cloudiness_Insolation_EUROPE_March_December_2020.csv
- CERES/FLASHFLUX data for August-December 2020 became available at new links at nasa.gov
- These data were gathered, analyzed and introduced in this dataset (2.0.0).
- updated links for CERES/FLASHFLUX and MODIS dataset
- added DOI link for preprint
- minor edits on text.
-Dataset file source for this version (internal analysis source file):
db_covid_all-ANALYSIS.2020-all-year_versiunea18d.csv
Version 1.0.0.COVID-19_Mortality_Cloudiness_Insolation_EUROPE_March_August_2020.csv
First version
Dataset file source for this version (internal analysis source file):
db_covid_all-ANALYSIS.2020-09-22_r10.cs
MODULES AND THE SECOND CLASSICAL ZARISKI TOPOLOGY
Let R be an associative ring with identity and Spec(s)(M) denote the set of all second submodules of a right R-module M. In this paper, we present a number of new results for the second classical Zariski topology on Spec(s)(M) for a right R-module M. We obtain a characterization of semisimple modules by using the second spectrum of a module. We prove that if R is a ring such that every right primitive factor of R is right artinian, then every non-zero submodule of a second right R-module M is second if and only if M is a fully prime module. We give some equivalent conditions for Spec(s)(M) to be a Hausdorff space or T-i-space when the right R-module M has certain algebraic properties. We obtain characterizations of commutative Quasi-Frobenius and artinian rings by using topological properties of the second classical Zariski topology. We give a full characterization of the irreducible components of Spec(s)(M) for a non-zero injective right module M over a ring R such that every prime factor of R is right or left Goldie.Scientific Research Project Administration of Akdeniz UniversityThe second author was supported by the Scientific Research Project Administration of Akdeniz University
Blood Pressure Changes in Migraine Patients before, during and after Migraine Attacks
Migraine attacks are characterized by headaches associated with neurological, gastrointestinal, and autonomic symptoms. A relationship between migraine and hypertension or hypotension is controversial. In this study, we aimed to determine if blood pressure changes were related to migraine attacks. From the outpatient clinic of our neurology department, 62 normotensive migraine patients with and without aura were chosen for study in accordance with the International Headache Society 2004 criteria. A questionnaire including general and specific questions was given to the patients to be filled out during 6 consequent migraine attacks. The patients received a fully automatic digital brachial upper arm sphygmomanometer (Omron M 4-1) to measure the changes in their blood pressure during attacks. The patients were asked to record their blood pressure changes 3 times: (1) just before or very early, (2) during (when headache peaks), and (3) 1 hour after the attack. Twenty-three of the 62 patients (57 women, 5 men) had migraine with aura (22 women and 1 man), and 39 of them did not have aura (35 women and 4 men). There was no statistically significant difference between systolic and diastolic values obtained before or very early, during the peak level, and 1 hour after the end of the attacks (P > 0.05). Although diastolic hypotensive values were not different statistically between groups, when all the patients were considered, diastolic hypotensive values were detected in a considerable number of patients (a total of 115 measurements). In this normotensive migrainous population, we observed that diastolic hypotension before or very early, during, and after migraine attack was the most significant result (5.1%). Although it was not statistically significant, the total number of hypotensive values was remarkable.Turkish Academy of SciencesTurkish Academy of Sciences [YSA/TUBA-GEBIP/2002-1-1]This work was supported by the Turkish Academy of Sciences, in the framework of the Young Scientist Award Program (YSA/TUBA-GEBIP/2002-1-1)
Orbicularis oculi muscle activation during swallowing in humans
Intraoral trigeminal afferents elicit EMG activity from the lower facial muscle, orbicularis oris (OR) during swallowing. The upper facial muscles and especially orbicularis oculi (OC) were not previously known to be associated with deglutitional events. Nevertheless, given the large area of intraoral mucosa and teeth innervated by the trigeminal nerve afferents, a connection between OC motoneurons and deglutition may theoretically be expected, which we sought to evaluate in this study. Healthy controls were investigated for the possible synchronization of orbicularis OC and OR muscles during deglutition by the following methods: EMG activities were recorded during voluntary dry, 3-, 10-, 20-ml discrete wet swallowing, and sequential swallowing from a cup, concurrent with respiratory recording. A polygraphic recording was obtained from these muscles to determine whether they were synchronously activated during spontaneous swallowing. The polygraphic recording during spontaneous swallowing demonstrated that the OC and OR muscles were synchronously activated in all subjects. This synchronous activation was less prominent in voluntary discrete swallowing. It is proposed that this might be based on trigemino-solitarii-facial pathways with weaker connection to OC muscles. The synchronization of OC muscle activity with deglutition may be an evolutionary process that should be rudimentary in higher mammals including humans. The swallowing-induced cranial muscle activities could potentially explain some movement disorders, such as craniofacial dystonias
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