2,779 research outputs found
Evaluation of background ionizing radiation dose variation in Ploiesti city area, 2022
No full textMeasurements of background ionizing radiation dose rate, done in Ploiesti city area in 2022 (Romania), by the student Tripac Flavius Gabriel under supervision of Prof. Dr. Adrian Iftime as part of a diploma thesis project (C.Davila University of Medicine and Pharmacy).
A graphical overview of the values is included (ploiesti_values_2022.png)
Providence College Faculty Author Series 2012-2013: Dr. Adrian Weimer
No full textDr. Adrian Weimer (History, Providence College) discusses her new book Martyrs\u27 Mirror: Persecution and Holiness in Early New England and the cultural importance of martyrdom within Colonial America
Providence College Faculty Author Series 2012-2013: Dr. Adrian Weimer
No full textDr. Adrian Weimer (History, Providence College) discusses her new book Martyrs\u27 Mirror: Persecution and Holiness in Early New England and the cultural importance of martyrdom within Colonial America
COVID-19 mortality correlation with cloudiness, sunlight, latitude in European countries
No full text"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.
===========
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
Adrian Matejka, 34th Annual ODU Literary Festival
No full textAdrian Matejka is the author of The Devil’s Garden and Mixology, which was a winner of the 2008 National Poetry Series. He is the recipient of two Illinois Arts Council Literary Awards and fellowships from Cave Canem and the Lannan Foundation. His work has been featured in American Poetry Review, The Best American Poetry 2010, and Ploughshares, among other journals and anthologies. He teaches at Southern Illinois University Edwardsville
Audio files for spectrum analysis demonstration
No full text<div>This data set consists of 6 real-world audio files (in .wav format, 48000Hz, mono) that are carefully crafted as examples for spectral analysis (i.e for teaching or as sample test data for algorithms).</div>
<div> </div>
<div>The files have clear discernible sound with an added true random background ambient noise (composed of: distant fan noise + distant street traffic + close harddisk clicking noise). The sound is clearly discernible by a human, despite the noise. </div>
<div> </div>
<div>- There are some musical sounds (the note G3 on several instruments; fundamental frequency 196Hz) on a tubular bell, classical piano, trumpet, violin. The sounds of the instrument was generated from MIDI banks with FluidSynth software, played on a loudspeaker and re-recorded with an analogical microphone (with the ambient noises). Audio processing was performed with Tenacity software;</div>
<div>- Sample from human speech (wovel “o”), with the same processing as above; </div>
<div>- The “Noise” file is purely digitally generated (white noise).</div>
<div> </div>
<div> </div>
<div>Each audio set is composed of three files: </div>
<div>- The audio file (*.wav), each sampled at 48000 Hz, Mono. </div>
<div>- an amplitude file (*_amplitude.csv, corresponding linear amplitudes recorded by the microphone of the .wav file). Numeric format in simple text format (.csv) with labeled column names. </div>
<div>-a spectrum file (*_spectrum.csv, frequency/amplitude(dB) ) with the results of a FFT (Fast Fourier Transform). Numeric format in simple text format (.csv) with labeled column names. </div>
<div> </div>
<div>Detailed description of each set is provided below.</div>
<div> </div>
<div>
<ul>
<li><strong>Bell_G3.wav</strong></li>
<li>Bell_G3_amplitude.csv:<br>Length processed: 113851 samples 2.37190 seconds.<br>Sample Rate: 48000 Hz. <br>Sample values on linear scale. 1 channel (mono).<br>Length processed: 113851 samples, 2.37190 seconds.<br>Peak amplitude: 0.59001 (linear) -4.58276 dB. <br>Unweighted RMS: -19.87796 dB.<br>DC offset: 0.00069 linear, -63.18732 dB.</li>
<li>Bell_G3_spectrum.csv:<br>FFT transform (Hz / dB)</li>
</ul>
</div>
<div>
<ul>
<li><strong>Noise.wav</strong></li>
<li>Noise_amplitude.csv:<br>Length processed: 31765 samples 0.66177 seconds.<br>Sample Rate: 48000 Hz. <br>Sample values on linear scale. 1 channel (mono).<br>Length processed: 31765 samples, 0.66177 seconds.<br>Peak amplitude: 0.52797 (linear) -5.54788 dB.<br>Unweighted RMS: -16.61153 dB.<br>DC offset: -0.00013 linear, -77.53051 dB</li>
<li>Noise_spectrum.csv)<br>FFT transform (Hz / dB)</li>
</ul>
</div>
<div>
<ul>
<li><strong>Piano_G3.wav</strong></li>
<li>Piano_G3_amplitude.csv:<br>Sample Rate: 48000 Hz.<br>Sample values on linear scale. 1 channel (mono).<br>Length processed: 133063 samples, 2.77215 seconds.<br>Peak amplitude: 0.41070 (linear) -7.72946 dB.<br>Unweighted RMS: -23.95101 dB.<br>DC offset: 0.00030 linear, -70.58058 dB.</li>
<li>Piano_G3_spectrum.csv:<br>FFT transform (Hz / dB)</li>
</ul>
</div>
<div>
<ul>
<li><strong>Trumpet_G3.wav</strong></li>
<li>Trumpet_G3_amplitude.csv:<br>Sample Rate: 48000 Hz.<br>Sample values on linear scale. 1 channel (mono).<br>Length processed: 66931 samples, 1.39440 seconds.<br>Peak amplitude: 0.29551 (linear) -10.58853 dB. <br>Unweighted RMS: -22.00611 dB.<br>DC offset: 0.00076 linear, -62.39740 dB.</li>
<li>Trumpet_G3_spectrum.csv:<br>FFT transform (Hz / dB)</li>
</ul>
</div>
<div>
<ul>
<li><strong>Violin_G3.wav</strong></li>
<li>Violin_G3_amplitude.csv:<br>Sample Rate: 48000 Hz.<br>Sample values on linear scale. 1 channel (mono).<br>Length processed: 59252 samples, 1.23442 seconds.<br>Peak amplitude: 0.41633 (linear) -7.61119 dB.<br>Unweighted RMS: -18.36738 dB.<br>DC offset: 0.00021 linear, -73.46784 dB.</li>
<li>Violin_G3_spectrum.csv:<br>FFT transform (Hz / dB)</li>
</ul>
</div>
<div>
<ul>
<li><strong>Wovel_O.wav</strong></li>
<li>Wovel_O_amplitude.csv<br>Sample Rate: 48000 Hz.<br>Sample values on linear scale. 1 channel (mono).<br>Length processed: 4975 samples, 0.10365 seconds.<br>Peak amplitude: 0.46174 (linear) -6.71214 dB. <br>Unweighted RMS: -14.88086 dB.<br>DC offset: 0.00009 linear, -80.54917 dB.</li>
<li>Wovel_O_spectrum.csv:<br>FFT transform (Hz / dB)</li>
</ul>
</div>
<div> </div>
<div>These files are created by A. Iftime and released under Creative Commons Licence, 2024. </div>
<div> </div>
<div>You might cite the dataset as: </div>
<div>“Audio files for spectrum analysis demonstration” [dataset] (2024), in “Medical Biophysics for 1st year medical students”, by Călinescu O., Babeș R., Iftime A., Băran I., Ionescu D., Ganea C., in publishing </div>
Performing the archive: following in the footsteps
No full textUsing documentation of Mike Pearson's performance 'Bubbling Tom', Deirdre Heddon attempts to step into his shoes and re-perform it
Electrochemical-control of abrasive polishing and machining rates, U.S. Patent 6,171,467
No full textAn apparatus and method is disclosed; both of which use electrochemistry to selectively grow and remove hard oxide coatings on metals, and capacitive double layers on non-metals and semiconductors in order to predict and control the rate of surface abrasion during planarization of the surface of such materials
ADRIAN POP - IN SEARCH OF A LONG LOST SMILE
No full textAn anniversary, especially in the case of a generation colleague, the renowned composer Adrian Pop, generates the remembrance of a long series of musical events that have become notorious, with works included in the national and international concert repertoire. The avoidance of nostalgic memories made that a stage miniature be chosen for the present paper, an incursion of the author into the naive world of childhood reading. The result was a modern, glamorous musical transposition of a sequence with Max and Moritz, the playful heroes created by the famous humorist and cartoonist Wilhelm Busch in the middle of the 19th century. The musical act Onkel Fritz by Adrian Pop was first performed in Cluj in 2016, on October 22, on the occasion of his previous anniversary, within the Cluj Musical Autumn Festival. The graceful performers of the act, presented under the title “Anniversaries at the Festival, Adrian Pop compositional portrait”, were soprano Mihaela Maxim, in the role of Max and pianist Eva Butean, in the role of Moritz. How did composer Adrian Pop manage to musically enliven a 150 years old humorous story? The author of the following text will try to answer this question.
Rezumat. ADRIAN POP - ÎN CĂUTAREA SURÂSULUI PIERDUT. O aniversare, mai ales în cazul unui coleg de generație, reputatul compozitor Adrian Pop, generează rememorarea unui lung șir de evenimente muzicale devenite notorii, cu lucrări intrate în repertoriul intern și internațional de concerte. Evitarea unor memorii nostalgice au făcut ca sorții acestei comunicări să cadă asupra unei miniaturi scenice, o incursiune a autorului în lumea ingenuă a lecturilor din copilărie. A rezultat o transpunere muzicală modernă, plină de farmec, a unei secvențe cu Max și Moritz, eroii poznași creați de celebrul umorist și caricaturist Wilhelm Busch la mijlocul secolului XIX. Prima audiție clujeană a scenetei muzicale Onkel Fritz de Adrian Pop a avut loc în 2016, la 22 octombrie, cu ocazia precedentei sale aniversări, în cadrul Toamnei Muzicale Clujene. Interpreții plini de har ai scenetei prezentate sub genericul „Aniversări în Festival, portret componistic Adrian Pop” au fost soprana Mihaela Maxim, în rolul lui Max și pianista Eva Butean, în rolul lui Moritz. Oare cum a reușit compozitorul Adrian Pop să însuflețească muzical o poveste umoristică de 150 de ani? La această întrebare va încerca să răspundă autoarea acestor rânduri.
Cuvinte cheie: Adrian Pop, Wilhelm Busch, Max și Moritz, Unchiul Fritz, act muzica
Book design: Adrian Bradshaw – The Door Opened: 1980s China
No full textAdrian Bradshaw: Book author
Phil Cleaver: Book design, branding, exhibition design and poster design
Art editor on content and sequencing of photography.
Designed in two languages Chinese and English in a way which combines them both together. Design reflects Chinese culture in a modern way with a western whist.
Embossed slip case with metal badge on cover of book
- …
