61 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
Operating policies for energy generation and revenue management in single-reservoir hydropower systems
We study the reservoir management problem in hydropower plants, and propose operating policies to maximize the average annual energy generation or the average annual revenue. Under revenue maximization, our policies allow for short-term electricity price variations to be incorporated into the long-term plan. First, we provide a detailed review of hydropower plant operation, focusing on implicit stochastic optimization approaches and integration of energy price variations in reservoir management. Then, we explain non-linear programming models that we developed for obtaining operating policies with different characteristics. We evaluate and compare the operating policies through a case study. Policies characterized by dynamic end-of-month storage levels are shown to perform much better than the policy with an optimal static end-of-month storage level, and it has been further shown that the dynamic policies perform quite close to the theoretical upper bound. Finally, we show that maximizing the average annual energy and maximizing the average annual revenue objectives yield considerably different operating policies and using one policy in place of the other may result in significant loss of benefit or resource
Risk factors and outcome for bloodstream infections due to fluconazole-resistant <i>candida parapsilosis</i>: A 22-year single-center retrospective study
Candidemia ranks among the top causes of nosocomial bloodstream infections, significantly increasing hospital stays and costs. Rapid and effective empirical antifungal therapy is crucial. The Candida parapsilosis species complex, the second most common cause of candidemia, has shown rising fluconazole resistance globally and in our country. Additionally, echinocandins exhibit higher minimum inhibitory concentrations (MICs) for C. parapsilosis, complicating empirical treatment decisions. This retrospective study analyzed 173 C. parapsilosis candidemia cases over 22 years in a tertiary care hospital. We compared 88 fluconazole non-susceptible (minimum inhibitory concentration [MIC] = 4 mu g/mL: susceptible dose dependent; MIC >= 8 mu g/ml resistant) and 85 fluconazole susceptible cases, examining demographics, clinical characteristics, risk factors, and 28-day mortality. Independent risk factors for fluconazole non-susceptibilty included age >= 66 years (p = 0.016), central venous catheter use (p < 0.001), total parenteral nutrition (p = 0.003), and colostomy (p = 0.049). Fluconazole non-susceptible cases had lower microbiological cure rates and higher mortality. Mortality in this group was independently associated with microbiological cure failure (p < 0.001). This study highlights the importance of identifying risk factors to estimate the likelihood of resistant pathogens, initiating targeted antifungal therapy, and providing individualized management. Monitoring local resistance patterns is essential to guide empirical therapy. Further multicenter research is needed to validate findings and optimize treatment for fluconazole resistant candidemia
On strongly 2-absorbing second submodules
1ST INTERNATIONAL CONFERENCE ON MATHEMATICAL AND RELATED SCIENCES (ICMRS) -- APR 30-MAY 04, 2018 -- Antalya, TURKEYIn this paper, we study on the concept of strongly 2-absorbing second submodule which is a dual notion of 2-absorbing submodule and a generalization of second submodule. We give some properties and characterizations of this submodule class and investigate the relationships with second and secondary submodules.Duzce UnivScientific Research Project Administration of Akdeniz UniversityThe second author was supported by the Scientific Research Project Administration of Akdeniz University
Olea europaea leaf extract decreases tumour size by affecting the LncRNA expression status in glioblastoma 3D cell cultures
Introduction: Glioblastoma (GB) is the most aggressive primary brain tumour. Temozolomide (TMZ) is a chemotherapy drug used in the treatment of GB. Despite treatment with TMZ, the prognosis of GB is poor. This study aimed to demonstrate the ability of Olea europaea leaf extract (OLE) alone and in combination with TMZ to suppress tumour aggressiveness by evaluating long non-coding RNA (LncRNA) and cancer stem cell (CSC) markers in GB cells using a three-dimensional (3D) model. Methods: The Real-time PCR (RT-PCR) method was used to determine the effects of OLE on LncRNA and CSC markers associated with tumour aggressiveness. To explore the effect of OLE on tumour size, a 3D model was developed. Results: It was found that OLE suppressed tumour aggressiveness with inhibited the MALAT1, SOX2 and NANOG ( p < 0.05). OLE + TMZ also inhibited MALAT1, LOXL1-AS1, PVT1 and H19 ( p < 0.05) and OCT4, NANOG, SOX2 and CD133 ( p < 0.05). In addition, to reduce tumour aggressiveness in a 3D cell culture, the use of OLE and OLE + TMZ has been supported (47.11-fold, p < 0.0001 and 18.04-fold, p < 0.0001, respectively). Conclusion: OLE may be a potential therapeutic agent that can be used in the treatment of GB, as it has been shown to reduce tumour size and increase the effect of TMZ
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