cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
title: ÐÐµÐ¹ÑÐ¾Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸ÐºÐ° Ð¸ Ð½ÐµÐ¹ÑÐ¾ÑÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸Ð¸. Ð§. 2, Ð¡Ð°Ð¼Ð¾Ð¾ÑÐ³Ð°Ð½Ð¸Ð·Ð°ÑÐ¸Ñ Ð¸ ÑÐ°Ð¼Ð¾Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ Ð² Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÑÑ
title: ÑÑÐµÐ±Ð½Ð¾Ðµ Ð¿Ð¾ÑÐ¾Ð±Ð¸Ðµ
titleType: Subtitle
Creators: name: Ð¨ÐºÐ¾Ð´ÑÑÐµÐ², ÐÑÑÐµÑÐ»Ð°Ð²
Publisher: name: ÐÐ·Ð´-Ð²Ð¾ Ð¡ÐÐ±ÐÐ¢Ð£
Year: 2001
Subjects: ÐÐµÐ¹ÑÐ¾-Ð­ÐÐ

description: ÐÐ¾ÑÐ¾Ð±Ð¸Ðµ ÑÐ¾Ð¾ÑÐ²ÐµÑÑÑÐ²ÑÐµÑ Ð°Ð²ÑÐ¾ÑÑÐºÐ¾Ð¼Ñ ÐºÑÑÑÑ Ð´Ð¸ÑÑÐ¸Ð¿Ð»Ð¸Ð½Ñ Ð¼Ð°Ð³Ð¸ÑÑÐµÑÑÐºÐ¾Ð¹ Ð¿Ð¾Ð´Ð³Ð¾ÑÐ¾Ð²ÐºÐ¸ "ÐÐ½ÑÐ¾ÑÐ¼Ð°ÑÐ¸ÐºÐ°" Ð½Ð°Ð¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ "ÐÐ½ÑÐ¾ÑÐ¼Ð°ÑÐ¸ÐºÐ° Ð¸ Ð²ÑÑÐ¸ÑÐ»Ð¸ÑÐµÐ»ÑÐ½Ð°Ñ ÑÐµÑÐ½Ð¸ÐºÐ°".
Ð Ð°ÑÑÐ¼Ð°ÑÑÐ¸Ð²Ð°ÑÑÑÑ Ð¾Ð±ÑÐ¸Ðµ Ð¿Ð¾Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ ÑÐµÐ¾ÑÐ¸Ð¸ Ð¸ Ð±Ð°Ð·Ð¾Ð²ÑÐµ Ð¼Ð¾Ð´ÐµÐ»Ð¸ ÑÐ°Ð¼Ð¾Ð¾ÑÐ³Ð°Ð½Ð¸Ð·ÑÑÑÐ¸ÑÑÑ Ð¸ ÑÐ°Ð¼Ð¾Ð¾Ð±ÑÑÐ°ÑÑÐ¸ÑÑÑ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹. ÐÑÐ¸Ð²ÐµÐ´ÐµÐ½Ñ ÑÐ¸Ð¿Ð¾Ð²ÑÐµ Ð¿Ð¾Ð´ÑÐ¾Ð´Ñ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ Ð½ÐµÐ¹ÑÐ¾ÑÐµÑÐµÐ²ÑÑ Ð¼Ð¾Ð´ÐµÐ»ÐµÐ¹ Ð² ÐºÐ¾Ð½ÑÐµÐºÑÑÐµ ÑÐµÑÐµÐ½Ð¸Ñ Ð¿ÑÐ¸ÐºÐ»Ð°Ð´Ð½ÑÑ Ð·Ð°Ð´Ð°Ñ. ÐÑÐµÐ´Ð½Ð°Ð·Ð½Ð°ÑÐµÐ½Ð¾ Ð´Ð»Ñ ÑÑÑÐ´ÐµÐ½ÑÐ¾Ð² ÑÑÐ°ÑÑÐ¸Ñ ÐºÑÑÑÐ¾Ð² ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ñ ÑÐ¿ÐµÑÐ¸Ð°Ð»ÑÐ½Ð¾ÑÑÐµÐ¹, Ð¸Ð·ÑÑÐ°ÑÑÐ¸Ñ ÑÐ»ÐµÐºÑÐ¸Ð²Ð½ÑÐµ Ð´Ð¸ÑÑÐ¸Ð¿Ð»Ð¸Ð½Ñ Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸ÐºÐ¸ Ð¸ Ð²ÑÑÐ¸ÑÐ»Ð¸ÑÐµÐ»ÑÐ½Ð¾Ð¹ ÑÐµÑÐ½Ð¸ÐºÐ¸ Ð² ÑÐ°Ð¼ÐºÐ°Ñ Ð¸Ð½Ð¶ÐµÐ½ÐµÑÐ½Ð¾Ð¹ Ð¸ Ð¼Ð°Ð³Ð¸ÑÑÐµÑÑÐºÐ¾Ð¹ Ð¿Ð¾Ð´Ð³Ð¾ÑÐ¾Ð²ÐºÐ¸.
description: ÐÐµÑÐ°ÑÐ°ÐµÑÑÑ Ð¿Ð¾ ÑÐµÑÐµÐ½Ð¸Ñ ÑÐµÐ´Ð°ÐºÑÐ¸Ð¾Ð½Ð½Ð¾-Ð¸Ð·Ð´Ð°ÑÐµÐ»ÑÑÐºÐ¾Ð³Ð¾ ÑÐ¾Ð²ÐµÑÐ° Ð¡Ð°Ð½ÐºÑ- ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¾Ð³Ð¾ Ð³Ð¾ÑÑÐ´Ð°ÑÑÑÐ²ÐµÐ½Ð½Ð¾Ð³Ð¾ ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¾Ð³Ð¾ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑÐ°.
title: ÐÐ´Ð°Ð½Ð¸Ðµ Ð±Ð¸Ð·Ð½ÐµÑ-ÑÐµÐ½ÑÑÐ° ÑÐ¾ ÑÐ²ÐµÑÐ¾Ð¿ÑÐ¾Ð·ÑÐ°ÑÐ½ÑÐ¼Ð¸ Ð¾Ð³ÑÐ°Ð¶Ð´Ð°ÑÑÐ¸Ð¼Ð¸ ÐºÐ¾Ð½ÑÑÑÑÐºÑÐ¸ÑÐ¼Ð¸
title: Ð´Ð¸Ð¿Ð»Ð¾Ð¼Ð½ÑÐ¹ Ð¿ÑÐ¾ÐµÐºÑ
titleType: Subtitle
Creators: name: ÐÑÐ¸Ð¼Ð¾Ð²Ð°, ÐÐ½Ð½Ð°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2016
Subjects: ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ðµ Ð¸Ð½Ð²ÐµÑÑÐ¸ÑÐ¸Ð¾Ð½Ð½Ð¾-ÑÑÑÐ¾Ð¸ÑÐµÐ»ÑÐ½ÑÐ¼Ð¸ Ð¿ÑÐ¾ÐµÐºÑÐ°Ð¼Ð¸
ÐºÐ¾Ð½ÑÑÐ¾Ð»Ñ ÑÑÐ¾ÐºÐ¾Ð² Ð¿ÑÐ¾ÐµÐºÑÐ°
ÑÐ°ÑÐ¿Ð¸ÑÐ°Ð½Ð¸Ðµ Ð¿ÑÐ¾ÐµÐºÑÐ°
ÐºÐ°ÑÐ°ÑÑÑÐ¾ÑÐ° Ð¿ÑÐ¾ÐµÐºÑÐ°
management of investment construction projects
control project timelines
project schedule
disaster project

description: ÐÑÐ¾ÐµÐºÑÐ¸ÑÑÐµÐ¼Ð¾Ðµ Ð·Ð´Ð°Ð½Ð¸Ðµ ÑÐ°ÑÐ¿Ð¾Ð»Ð°Ð³Ð°ÐµÑÑÑ Ð½Ð° ÑÐµÐ²ÐµÑÐµ Ð³Ð¾ÑÐ¾Ð´Ð° Ð¿Ð¾ Ð°Ð´ÑÐµÑÑ: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³, ÑÐ». ÐÐ¸ÑÐ°Ð¸Ð»Ð° ÐÑÐ´Ð¸Ð½Ð°, ÑÑÐ°ÑÑÐ¾Ðº 1.ÐÐ°ÑÐºÐ°Ñ Ð·Ð´Ð°Ð½Ð¸Ñ - Ð¼Ð¾Ð½Ð¾Ð»Ð¸ÑÐ½ÑÐ¹, Ð¾Ð³ÑÐ°Ð¶Ð´Ð°ÑÑÐ¸Ðµ ÐºÐ¾Ð½ÑÑÑÑÐºÑÐ¸Ð¸ - Ð²Ð¸ÑÑÐ°Ð¶Ð½Ð¾Ðµ Ð¾ÑÑÐµÐºÐ»ÐµÐ½Ð¸Ðµ. Ð¤Ð°ÑÐ°Ð´ Ð·Ð´Ð°Ð½Ð¸Ñ ÑÐ°ÑÐ°ÐºÑÐµÑÐ¸Ð·ÑÐµÑÑÑ Ð¿Ð¾Ð»Ð½ÑÐ¼ Ð²Ð¸ÑÑÐ°Ð¶Ð½ÑÐ¼ Ð¾ÑÑÐµÐºÐ»ÐµÐ½Ð¸ÐµÐ¼ Ñ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸ÐµÐ¼ ÑÐµÑÐ½Ð¾Ð»Ð¾Ð³Ð¸Ð¸ Ð¿ÑÐ¾Ð·ÑÐ°ÑÐ½ÑÑ ÑÐ¾Ð»Ð½ÐµÑÐ½ÑÑ Ð¼Ð¾Ð´ÑÐ»ÐµÐ¹, ÑÑÐ¾ Ð½Ðµ ÑÐ¾Ð»ÑÐºÐ¾ Ð²Ð½Ð¾ÑÐ¸Ñ Ð´Ð¸Ð½Ð°Ð¼Ð¸ÐºÑ Ð² Ð¾ÐºÑÑÐ¶Ð°ÑÑÑÑ Ð·Ð°ÑÑÑÐ¾Ð¹ÐºÑ, Ð½Ð¾ Ð¸ Ð¿ÐµÑÑÐ¿ÐµÐºÑÐ¸Ð²Ð½Ð¾ Ð² Ð¿Ð»Ð°Ð½Ðµ ÑÐ½ÐµÑÐ³Ð¾ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸.
description: The projected building is located North of the city at the address: St.-Petersburg, street Mikhail Dudin, plot 1.The building frame - monolithic walling - stained glass. The facade of the building is full of stained glass using the technology of transparent solar modules that not only makes the dynamics of the surrounding buildings, but also promising in terms of energy efficiency.
Incorporating Photometric Redshift Probability Density Information into Real-Space Clustering Measurements
Creators: name: Myers, Adam D
name: White, Martin
name: Ball, Nicholas M.
Publisher: name: arXiv
Year: 2009
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: The use of photometric redshifts in cosmology is increasing. Often, however these photo-zs are treated like spectroscopic observations, in that the peak of the photometric redshift, rather than the full probability density function (PDF), is used. This overlooks useful information inherent in the full PDF. We introduce a new real-space estimator for one of the most used cosmological statistics, the 2-point correlation function, that weights by the PDF of individual photometric objects in a manner that is optimal when Poisson statistics dominate. As our estimator does not bin based on the PDF peak it substantially enhances the clustering signal by usefully incorporating information from all photometric objects that overlap the redshift bin of interest. As a real-world application, we measure QSO clustering in the Sloan Digital Sky Survey (SDSS). We find that our simplest binned estimator improves the clustering signal by a factor equivalent to increasing the survey size by a factor of 2-3. We also introduce a new implementation that fully weights between pairs of objects in constructing the cross-correlation and find that this pair-weighted estimator improves clustering signal in a manner equivalent to increasing the survey size by a factor of 4-5. Our technique uses spectroscopic data to anchor the distance scale and it will be particularly useful where spectroscopic data (e.g, from BOSS) overlaps deeper photometry (e.g.,from Pan-STARRS, DES or the LSST). We additionally provide simple, informative expressions to determine when our estimator will be competitive with the autocorrelation of spectroscopic objects. Although we use QSOs as an example population, our estimator can and should be applied to any clustering estimate that uses photometric objects.
description: Replaced with accepted version. Major changes have been made, in that we now directly demonstrate the full, PDF pair-weighted clustering estimator and show that it increases the clustering signal even more substantially
title: ÐÐ°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ Ð´Ð»Ñ Ð²ÑÑÐ²Ð»ÐµÐ½Ð¸Ñ Ð¿Ð¾Ð´Ð³ÑÑÐ¿Ð¿ Ð¸Ð½Ð´Ð¸Ð²Ð¸Ð´Ð¾Ð², ÑÐ¸Ð»ÑÐ½Ð¾ ÑÐµÐ°Ð³Ð¸ÑÑÑÑÐ¸Ñ Ð½Ð° Ð²Ð¾Ð·Ð´ÐµÐ¹ÑÑÐ²Ð¸Ðµ
title: Machine learning for subgroup discovery under treatment effect
Creators: name: ÐÑÐ·Ð¼Ð°ÐºÐ¾Ð², ÐÐ»ÐµÐºÑÐµÐ¹
Publisher: name: ÐÐÐÐÐ¢ÐÐ¥-ÐÐ ÐÐ¡Ð¡
Year: 2020
Subjects: Ð¼Ð°ÑÐºÐµÑÐ¸Ð½Ð³
Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½Ð°
Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ

description: ÐÑÐµÐ½ÐºÐ° ÑÑÑÐµÐºÑÐ° Ð¾Ñ Ð²Ð¾Ð·Ð´ÐµÐ¹ÑÑÐ²Ð¸Ñ Ð½Ð° Ð¸Ð½Ð´Ð¸Ð²Ð¸Ð´ÑÐ°Ð»ÑÐ½Ð¾Ð¼ ÑÑÐ¾Ð²Ð½Ðµ Ð½ÐµÐ¾Ð±ÑÐ¾Ð´Ð¸Ð¼Ð°
Ð²Ð¾ Ð¼Ð½Ð¾Ð³Ð¸Ñ Ð¾Ð±Ð»Ð°ÑÑÑÑ Ð·Ð½Ð°Ð½Ð¸Ð¹ Ð¾Ñ Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½Ñ Ð´Ð¾ Ð¼Ð°ÑÐºÐµÑÐ¸Ð½Ð³Ð°. ÐÐµÐ¹ÑÑÐ²Ð¸ÑÐµÐ»ÑÐ½Ð¾, Ð¾Ð±ÑÐµÑÑÐ²Ð¾ Ð²ÑÐ¸Ð³ÑÐ°ÐµÑ, ÐµÑÐ»Ð¸ Ð±ÑÐ´ÐµÑ Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½Ð¾ÑÑÑ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÑÑÑ, Ð½Ð° ÐºÐ¾Ð³Ð¾ Ð¿Ð¾Ð´ÐµÐ¹ÑÑÐ²ÑÐµÑ ÐºÐ°ÐºÐ¾Ðµ-Ð»Ð¸Ð±Ð¾ Ð»ÐµÐºÐ°ÑÑÑÐ²Ð¾. Ð Ð¿ÑÐ¸ Ð¾ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ð¸ ÑÐ°ÑÑÑÐ»ÐºÐ¸ ÑÐ¾Ð»ÑÐºÐ¾ ÑÐµÐ¼ Ð»ÑÐ´ÑÐ¼, ÐºÐ¾ÑÐ¾ÑÑÑ Ð¸Ð½ÑÐµÑÐµÑÑÐµÑ ÐºÐ¾Ð½ÐºÑÐµÑÐ½ÑÐ¹ ÑÐ¾Ð²Ð°Ñ, ÑÐ¼ÐµÐ½ÑÑÐ¸ÑÑÑ ÐºÐ¾Ð»Ð¸ÑÐµÑÑÐ²Ð¾ ÑÐ¿Ð°Ð¼Ð° Ð¸ ÑÐ½Ð¸Ð·ÑÑÑÑ Ð¸Ð·Ð´ÐµÑÐ¶ÐºÐ¸ ÑÐµÐºÐ»Ð°Ð¼Ð½Ð¾Ð¹ ÐºÐ°Ð¼Ð¿Ð°Ð½Ð¸Ð¸. Ð Ð³Ð»Ð°Ð²Ðµ ÑÐ°ÑÑÐ¼Ð°ÑÑÐ¸Ð²Ð°ÑÑÑÑ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ðµ Ð¼ÐµÑÐ¾Ð´Ñ Ð¾ÑÐµÐ½ÐºÐ¸ ÑÑÑÐµÐºÑÐ° Ð¾Ñ Ð²Ð¾Ð·Ð´ÐµÐ¹ÑÑÐ²Ð¸Ñ Ð½Ð°
Ð¸Ð½Ð´Ð¸Ð²Ð¸Ð´ÑÐ°Ð»ÑÐ½Ð¾Ð¼ ÑÑÐ¾Ð²Ð½Ðµ Ð¸ Ð¿Ð¾ÐºÐ°Ð·ÑÐ²Ð°ÐµÑÑÑ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ð³Ð¾ ÑÐºÑÐ¿ÐµÑÐ¸Ð¼ÐµÐ½ÑÐ° Ð½ÐµÐ¾Ð±ÑÐ¾Ð´Ð¸Ð¼Ð¾ÑÑÑ ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ñ Ð½Ð¾Ð²ÑÑ ÑÑÑÐµÐºÑÐ¸Ð²Ð½ÑÑ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð² ÑÑÐ¾Ð¹ Ð¾Ð±Ð»Ð°ÑÑÐ¸ Ð·Ð½Ð°Ð½Ð¸Ð¹.
description: In many practical tasks it is needed to estimate an effect of treatment on
individual level. For example, in medicine it is essential to determine the patients that would
benefit from a certain medicament. In marketing, knowing the persons that are likely to buy a new product would reduce the amount of spam. In this chapter, we review the methods to estimate an individual treatment effect from a randomized trial, i.e., an experiment when a part of individuals receives a new treatment, while the others do not. Finally, it is shown that new efficient methods are needed in this domain.
Additional file 3 of SARS-CoV-2 infection increases risk of acute kidney injury in a bimodal age distribution
Creators: name: Bjornstad, Erica C.
name: Cutter, Gary
name: Guru, Pramod
name: Menon, Shina
name: Aldana, Isabella
name: House, Scott
name: M. Tofil, Nancy
name: St. Hill, Catherine A.
name: Tarabichi, Yasir
name: Banner-Goodspeed, Valerie M.
name: Christie, Amy B.
name: Mohan, Surapaneni Krishna
name: Sanghavi, Devang
name: Mosier, Jarrod M.
name: Vadgaonkar, Girish
name: Walkey, Allan J.
name: Kashyap, Rahul
name: Kumar, Vishakha K.
name: Bansal, Vikas
name: Boman, Karen
name: Sharma, Mayank
name: Bogojevic, Marija
name: Deo, Neha
name: Retford, Lynn
name: Gajic, Ognjen
name: Gist, Katja M.
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Developmental Biology
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: Computational Biology

description: Additional file 3: Supplementary Fig. 2. Age Distribution of Hospitalized Patients with SARS-CoV2 who Experienced AKI within First 7 days of Hospitalization-baseline creatinine estimator FAS equation. Main figure presents percentage per age bracket who developed acute kidney injury (AKI) among all hospitalized patients and further stratified by severity of illness status. Severe illness is defined as a composite indicator of invasive ventilation, use of vasopressor(s)/inotrope(s), and/or use of extracorporeal membrane oxygenation. Moderate illness is defined as admitted to an intensive care unit but without use of above organ support measures. Mild illness is defined as patient required hospitalization but not in an intensive care unit and without use of above organ support measures. Insert presents the adjusted odds ratio (OR) with 95% confidence intervals (CI) of developing AKI within the first week by age bracket compared to young adults (30–35-year-olds) as the referent category. Adjusted for sex, race/ethnicity, pre-existing hypertension, diabetes mellitus, cancer, chronic kidney disease, and severity of illness. AKI defined per KDIGO guidelines, but baseline creatinine estimator uses full-age spectrum (FAS) equation for all participants.
"Everyone Deserves a Bit of Joy": A Case Study of the Royal New Zealand Ballet's Prison Program
Creators: name: Skorstengaard, Jana
Publisher: name: Université d'Ottawa / University of Ottawa
Year: 2021
Subjects: Royal New Zealand Ballet
Ballet
Dance
Prison dance
Criminalized populations
Arts-based initiatives
Docile bodies
Prisoners
Foucault
Goffman
Dramaturgy

description: Art has a long and nuanced history within the context of the prison. Prisoners have utilized wall drawings, tattooing, journaling, and other forms of creative expression to break the monotony of prison life. Over time, art has evolved in the prison context and has been utilized by researchers, therapists, and teachers as a method of rehabilitation that falls outside of more conventional methods such as talk therapy, drug treatment, and anger management programs. Arts programming allows prisoners to express themselves in new and creative ways, as well as the ability to build new skills and foster better relationships with themselves and each other. A review of the literature discusses the negative effects of imprisonment on the body. As a result of the violent and incapacitating nature of being caged, prisoners become mirrors of the carceral space. Bodies become rigid, condensed, hunched, or even bulky in order to survive. Dance is an opportunity for prisoners to find freedom within the walls of a prison, as well as more tangible benefits such as improving posture, flexibility, and giving prisoners new ways to express themselves through movement. This can lead to improved self-esteem, a sense of accomplishment, and fostering better relationships with themselves and others. Using Foucault’s concept of docile bodies as well as Goffman’s theory dramaturgy, this research serves to fill in gaps in the literature around how dance impacts the body and emotional well-being. Through one-on-one interviews with members of the Royal New Zealand Ballet, this paper will examine dance’s ability to free the body and help prisoners find a sense of belonging and identity unrelated to their criminality.
The Thousand Asteroid Light Curve Survey
Creators: name: Masiero, Joseph
name: Jedicke, Robert
name: Durech, Josef
name: Gwyn, Stephen
name: Denneau, Larry
name: Larsen, Jeff
Publisher: name: arXiv
Year: 2009
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: We present the results of our Thousand Asteroid Light Curve Survey (TALCS) conducted with the Canada-France-Hawaii Telescope in September 2006. Our untargeted survey detected 828 Main Belt asteroids to a limiting magnitude of g'~22.5 corresponding to a diameter range of 0.4 km <= D <= 10 km. Of these, 278 objects had photometry of sufficient quality to perform rotation period fits. We debiased the observations and light curve fitting process to determine the true distribution of rotation periods and light curve amplitudes of Main Belt asteroids. We confirm a previously reported excess in the fraction of fast rotators but find a much larger excess of slow rotating asteroids (~15% of our sample). A few percent of objects in the TALCS size range have large light curve amplitudes of ~1 mag. Fits to the debiased distribution of light curve amplitudes indicate that the distribution of triaxial ellipsoid asteroid shapes is proportional to the square of the axis-ratio, (b/a)^2, and may be bi-modal. Finally, we find six objects with rotation periods that may be less than 2 hours with diameters between 400 m and 1.5 km, well above the break-up limit for a gravitationally-bound aggregate. Our debiased data indicate that this population represents <4% of the Main Belt in the 1-10 km size range.
description: Accepted to Icarus. Full tables to appear there in electronic format, or contact author
title: ÐÑÐ¾ÑÐ¸Ð²Ð¾Ð´ÐµÐ¹ÑÑÐ²Ð¸Ðµ Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¾Ð½Ð½ÑÐ¼ ÑÐ³ÑÐ¾Ð·Ð°Ð¼ VANET-ÑÐµÑÑÐ¼ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð°Ð¿Ð¿Ð°ÑÐ°ÑÐ° ÑÑÐ°ÐºÑÐ°Ð»ÑÐ½ÑÑ Ð³ÑÐ°ÑÐ¾Ð²
title: Ð½Ð°ÑÑÐ½ÑÐ¹ Ð´Ð¾ÐºÐ»Ð°Ð´
titleType: Subtitle
Creators: name: ÐÐ²Ð°Ð½Ð¾Ð², ÐÐµÐ½Ð¸Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2018
Subjects: ÐÐ½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ñ
Ð¤ÑÐ°ÐºÑÐ°Ð»Ñ
ÐÑÐ°ÑÐ¾Ð² ÑÐµÐ¾ÑÐ¸Ñ
Ð¡Ð°Ð¼Ð¾Ð¾ÑÐ³Ð°Ð½Ð¸Ð·ÑÑÑÐ¸ÐµÑÑ ÑÐ¸ÑÑÐµÐ¼Ñ
ÐÐµÑÐ¿ÑÐ¾Ð²Ð¾Ð´Ð½Ð°Ñ ÑÐ²ÑÐ·Ñ

description: Ð ÑÐ°Ð±Ð¾ÑÐµ ÑÐ°ÑÑÐ¼Ð°ÑÑÐ¸Ð²Ð°ÐµÑÑÑ Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½Ð¾ÑÑÑ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ ÑÐµÐ¾ÑÐ¸Ð¸ Ð¿ÑÐµÐ´ÑÑÐ°ÐºÑÐ°Ð»ÑÐ½ÑÑ Ð³ÑÐ°ÑÐ¾Ð² Ð´Ð»Ñ Ð¾Ð±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ñ Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ Ð±ÐµÐ·Ð¾Ð¿Ð°ÑÐ½Ð¾ÑÑÐ¸ Ð°Ð²ÑÐ¾Ð¼Ð¾Ð±Ð¸Ð»ÑÐ½ÑÑ ÑÐµÑÐµÐ¹ ÑÐ²ÑÐ·Ð¸ (VANET), Ð° ÑÐ°ÐºÐ¶Ðµ Ð¾Ð¿Ð¸ÑÑÐ²Ð°ÑÑÑÑ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½ÑÐµ Ð´Ð»Ñ ÑÑÐ¾Ð¹ ÑÐµÐ»Ð¸ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ Ð¿Ð¾ÑÑÑÐ¾ÐµÐ½Ð¸Ñ ÑÐ¾Ð¿Ð¾Ð»Ð¾Ð³Ð¸Ð¸ Ð¸ Ð¼Ð°ÑÑÑÑÑÐ¸Ð·Ð°ÑÐ¸Ð¸ ÑÑÐ°ÑÐ¸ÐºÐ°.Ð Ð°ÑÑÐ¼Ð°ÑÑÐ¸Ð²Ð°ÑÑÑÑ ÑÐ³ÑÐ¾Ð·Ñ ÐºÐ¸Ð±ÐµÑÐ±ÐµÐ·Ð¾Ð¿Ð°ÑÐ½Ð¾ÑÑÐ¸VANETÑÐµÑÐµÐ¹, Ð° ÑÐ°ÐºÐ¶Ðµ Ð¾Ð¿Ð¸ÑÑÐ²Ð°ÐµÑÑÑ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½Ð°Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ ÑÐ³ÑÐ¾Ð·. ÐÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½Ñ Ð¼ÐµÑÐ°Ð½Ð¸Ð·Ð¼Ñ Ð¾Ð±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ñ Ð±ÐµÐ·Ð¾Ð¿Ð°ÑÐ½Ð¾ÑÑÐ¸ VANET-ÑÐµÑÐµÐ¹ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ ÑÐ°Ð¼Ð¾Ð¿Ð¾Ð´Ð¾Ð±Ð¸Ñ. Ð ÐµÐ·ÑÐ»ÑÑÐ°ÑÑ Ð¼Ð¾Ð³ÑÑ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ñ Ð´Ð»Ñ Ð¿Ð¾Ð²ÑÑÐµÐ½Ð¸Ñ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸ Ð¸ Ð±ÐµÐ·Ð¾Ð¿Ð°ÑÐ½Ð¾ÑÑÐ¸ ÑÐ°Ð±Ð¾ÑÑ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½ÑÑ ÑÐ¸ÑÑÐµÐ¼ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ð´Ð¾ÑÐ¾Ð¶Ð½ÑÐ¼ Ð´Ð²Ð¸Ð¶ÐµÐ½Ð¸ÐµÐ¼.
The effects of vermicompost, vermicompost tea, and seaweed extract on grapevine and soil parameters of vineyards in British Columbia and Nova Scotia, Canada
Creators: name: Yasari, Esmaeil
Publisher: name: University of British Columbia
Year: 2025

description: Organic-based material, including vermicompost and seaweed extract, can promote sustainable viticulture by enhancing productivity and minimizing environmental impact. In Okanagan Valley vineyards, studies conducted between 2020 and 2021 evaluated the effects of vermicompost, vermicompost tea, and seaweed extract on grapevine growth and productivity. Vermicompost applied to 10-year-old Chardonnay on SO4 rootstock vines at Thomas Ranch Vineyards did not significantly affect most growth parameters or yield, except for pruning weight in 2020 and yield in 2021. Medium and high rates maintained comparable yields to grower practice controls. Vermicompost notably increased soil organic C and total N, with a recommended application rate of 4.44 Mg ha⁻¹ in 2020 and 3.98 Mg ha⁻¹ in 2021 for cost-effectiveness. Vermicompost tea was tested on 34-year-old self-rooted Chardonnay Musqué vines at Blasted Church Vineyards. Application had minimal impact on growth and yield. Higher concentration and more frequent application occasionally improved berry weight and total soluble solids (TSS), but overall effects were inconsistent, suggesting that vermicompost tea's benefits depend on precise dosage and timing. The effect size of seaweed extract on Chardonnay vines in British Columbia and Nova Scotia on growth, fruit quality, and soil nutrients were small. It enhanced cluster looseness, however, and at high rate, reduced clusters per vine and yield. Lower rates and less frequent applications were more beneficial, indicating that moderate use is optimal for grapevine growth and yield. Overall, the studies suggested that while organic-based products like vermicompost and seaweed extract can maintain or enhance soil productivity and grape yield, their efficacy depends on appropriate application rates and frequencies.
Additional file 4 of SARS-CoV-2 infection increases risk of acute kidney injury in a bimodal age distribution
Creators: name: Bjornstad, Erica C.
name: Cutter, Gary
name: Guru, Pramod
name: Menon, Shina
name: Aldana, Isabella
name: House, Scott
name: M. Tofil, Nancy
name: St. Hill, Catherine A.
name: Tarabichi, Yasir
name: Banner-Goodspeed, Valerie M.
name: Christie, Amy B.
name: Mohan, Surapaneni Krishna
name: Sanghavi, Devang
name: Mosier, Jarrod M.
name: Vadgaonkar, Girish
name: Walkey, Allan J.
name: Kashyap, Rahul
name: Kumar, Vishakha K.
name: Bansal, Vikas
name: Boman, Karen
name: Sharma, Mayank
name: Bogojevic, Marija
name: Deo, Neha
name: Retford, Lynn
name: Gajic, Ognjen
name: Gist, Katja M.
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Developmental Biology
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: Computational Biology

description: Additional file 4: Supplementary Fig. 3. Age Distribution of Hospitalized Patients with SARS-CoV2 who Experienced AKI within First 7 days of Hospitalization-baseline creatinine estimator MDRD equation removing race. Main figure presents percentage per age bracket who developed acute kidney injury (AKI) among all hospitalized patients and further stratified by severity of illness status. Severe illness is defined as a composite indicator of invasive ventilation, use of vasopressor(s)/inotrope(s), and/or use of extracorporeal membrane oxygenation. Moderate illness is defined as admitted to an intensive care unit but without use of above organ support measures. Mild illness is defined as patient required hospitalization but not in an intensive care unit and without use of above organ support measures. Insert presents the adjusted odds ratio (OR) with 95% confidence intervals (CI) of developing AKI within the first week by age bracket compared to young adults (30–35-year-olds) as the referent category. Adjusted for sex, race/ethnicity, pre-existing hypertension, diabetes mellitus, cancer, chronic kidney disease, and severity of illness. AKI defined per KDIGO guidelines, but baseline creatinine estimator uses modified MDRD equation removing race component for adults (≥18 years) and height-independent equation for children (
APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN FAULT DETECTION AND PREDICTION IN TECHNICAL SYSTEMS
Creators: name: GHASEMI PARVIN, Behzad
name: Ghasemi Parvin, leila
Publisher: name: figshare
Year: 2024
Subjects: classificationCode: 460207
subject: Modelling and simulation
classificationCode: 461103
subject: Deep learning
classificationCode: 461104
subject: Neural networks

description: Fault detection and prediction in technical systems is a critical task for ensuring reliable and efficient operation. Traditional methods for fault detection and prediction often rely on manual analysis of system data, which can be time-consuming and prone to errors. Artificial Intelligence (AI) techniques, particularly machine learning and data analytics, have emerged as powerful tools for automating fault detection and prediction processes. This paper provides an overview of the applications of AI in fault detection and prediction in technical systems.
Additional file 5 of SARS-CoV-2 infection increases risk of acute kidney injury in a bimodal age distribution
Creators: name: Bjornstad, Erica C.
name: Cutter, Gary
name: Guru, Pramod
name: Menon, Shina
name: Aldana, Isabella
name: House, Scott
name: M. Tofil, Nancy
name: St. Hill, Catherine A.
name: Tarabichi, Yasir
name: Banner-Goodspeed, Valerie M.
name: Christie, Amy B.
name: Mohan, Surapaneni Krishna
name: Sanghavi, Devang
name: Mosier, Jarrod M.
name: Vadgaonkar, Girish
name: Walkey, Allan J.
name: Kashyap, Rahul
name: Kumar, Vishakha K.
name: Bansal, Vikas
name: Boman, Karen
name: Sharma, Mayank
name: Bogojevic, Marija
name: Deo, Neha
name: Retford, Lynn
name: Gajic, Ognjen
name: Gist, Katja M.
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Developmental Biology
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: Computational Biology

description: Additional file 5: Supplementary Fig. 4. Age Distribution of Hospitalized Patients with SARS-CoV2 who Experienced AKI within First 7 days of Hospitalization-baseline creatinine estimator as minimum serum creatinine. Main figure presents percentage per age bracket who developed acute kidney injury (AKI) among all hospitalized patients and further stratified by severity of illness status. Severe illness is defined as a composite indicator of invasive ventilation, use of vasopressor(s)/inotrope(s), and/or use of extracorporeal membrane oxygenation. Moderate illness is defined as admitted to an intensive care unit but without use of above organ support measures. Mild illness is defined as patient required hospitalization but not in an intensive care unit and without use of above organ support measures. Insert presents the adjusted odds ratio (OR) with 95% confidence intervals (CI) of developing AKI within the first week by age bracket compared to young adults (30–35-year-olds) as the referent category. Adjusted for sex, race/ethnicity, pre-existing hypertension, diabetes mellitus, cancer, chronic kidney disease, and severity of illness. AKI defined per KDIGO guidelines, but baseline creatinine estimator uses minimum serum creatinine value within first 7 days of hospitalization for all participants.
Determination of the generalized parton distributions through the analysis of the world electron scattering data considering two-photon exchange corrections
Creators: name: Hashamipour, Hadi
name: Goharipour, Muhammad
name: Azizi, K.
name: Goloskokov, S. V.
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: High Energy Physics - Lattice (hep-lat)
subject: FOS: Physical sciences

description: We determine the valence generalized parton distributions (GPDs) $ H_v^q $ and $ E_v^q $ with their uncertainties at zero skewness by performing a $ χ^2 $ analysis of the world electron scattering data considering two-photon exchange corrections. The data include a wide and updated range of the electric and magnetic form factors (FFs) of the proton and neutron. As a result, we find that there are no enough constraints on GPDs $ E_v^q $ from FFs data solely though $ H_v^q $ are well constrained. By including the new data of the charge and magnetic radius of the nucleon in the analysis, we show that they put new constraints on the final GPDs, especially on $ E_v^q $. Moreover, we calculate the gravitational FF $ M_2 $ and the total angular momentum $ J^q $ using the extracted GPDs and compare them with the FFs obtained from the light-cone QCD sum rules (LCSR) and Lattice QCD. We show that our results are interestingly in a good consistency with the pure theoretical predictions.
description: 20 pages, 13 figures, and 5 tables
title: ÐÑÐµÐ½ÐºÐ° Ð¸ ÑÐ¾Ð²ÐµÑÑÐµÐ½ÑÑÐ²Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð¾ÑÐ³Ð°Ð½Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð¼Ð°ÑÐµÑÐ¸Ð°Ð»ÑÐ½Ð¾-ÑÐµÑ Ð½Ð¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð¾Ð±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ñ Ð¾ÑÐ³Ð°Ð½Ð¸Ð·Ð°ÑÐ¸Ð¸
title: Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÑÐºÐ°Ñ ÑÐ°Ð±Ð¾ÑÐ°
titleType: Subtitle
Creators: name: ÐÐ¾ÑÐ¶ÐµÐ½ÐºÐ¾Ð²Ð°, ÐÐ½Ð½Ð°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2017
Subjects: Ð¼Ð°ÑÐµÑÐ¸Ð°Ð»ÑÐ½ÑÐµ ÑÐµÑÑÑÑÑ
Ð¼Ð°ÑÐµÑÐ¸Ð°Ð»ÑÐ½Ð¾-ÑÐµÑ Ð½Ð¸ÑÐµÑÐºÐ¾Ðµ Ð¾Ð±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ðµ
Ð·Ð°ÐºÑÐ¿ÐºÐ¸
Ð»Ð¾Ð³Ð¸ÑÑÐ¸ÐºÐ°
Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ðµ Ð¿Ð¾ÑÑÐµÐ±Ð½Ð¾ÑÑÐ¸
Ð²ÑÐ±Ð¾Ñ Ð¿Ð¾ÑÑÐ°Ð²ÑÐ¸ÐºÐ°

description: Ð¦ÐµÐ»ÑÑ Ð²ÑÐ¿ÑÑÐºÐ½Ð¾Ð¹ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ ÑÐ²Ð»ÑÐµÑÑÑ Ð¾Ð±Ð¾Ð±ÑÐ¸ÑÑ ÑÐµÐ¾ÑÐµÑÐ¸ÑÐµÑÐºÐ¸Ðµ Ð¾ÑÐ½Ð¾Ð²Ñ Ð¼Ð°ÑÐµÑÐ¸Ð°Ð»ÑÐ½Ð¾-ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¾Ð³Ð¾ ÑÐ½Ð°Ð±Ð¶ÐµÐ½Ð¸Ñ, Ð¿ÑÐ¾Ð°Ð½Ð°Ð»Ð¸Ð·Ð¸ÑÐ¾Ð²Ð°ÑÑ ÑÐ¸ÑÑÐµÐ¼Ñ Ð¼Ð°ÑÐµÑÐ¸Ð°Ð»ÑÐ½Ð¾-ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð¾Ð±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ñ, Ð° ÑÐ°ÐºÐ¶Ðµ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°ÑÑ Ð½Ð°Ð¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ ÑÐ»ÑÑÑÐµÐ½Ð¸Ñ Ð¾ÑÐ³Ð°Ð½Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð¼Ð°ÑÐµÑÐ¸Ð°Ð»ÑÐ½Ð¾-ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð¾Ð±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ñ Ð½Ð° Ð¿ÑÐµÐ´Ð¿ÑÐ¸ÑÑÐ¸Ð¸. ÐÐ±ÑÐµÐºÑÐ¾Ð¼ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑÐ²Ð»ÑÐµÑÑÑ Ð¿ÑÐ¾ÑÐµÑÑ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð¾ÑÐ³Ð°Ð½Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð¼Ð°ÑÐµÑÐ¸Ð°Ð»ÑÐ½Ð¾-ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð¾Ð±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ñ. ÐÑÐµÐ´Ð¼ÐµÑÐ¾Ð¼ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ - ÑÐ¸ÑÑÐµÐ¼Ð° Ð¼Ð°ÑÐµÑÐ¸Ð°Ð»ÑÐ½Ð¾-ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð¾Ð±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ñ. Ð Ð°ÑÑÐ¼Ð°ÑÑÐ¸Ð²Ð°ÐµÐ¼Ð¾Ðµ Ð¿ÑÐµÐ´Ð¿ÑÐ¸ÑÑÐ¸Ðµ - Ð¤ÐÐ£Ð Â«ÐÐ¾ÑÑÐ° Ð Ð¾ÑÑÐ¸Ð¸Â». ÐÐ° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð¿ÑÐµÐ´Ð¿ÑÐ¸ÑÑÐ¸Ñ Ð±ÑÐ»Ð¸ Ð²ÑÑÐ²Ð»ÐµÐ½Ñ Ð¿ÑÐ¾Ð±Ð»ÐµÐ¼Ð½ÑÐµ Ð¼ÐµÑÑÐ° Ð² Ð¾ÑÐ³Ð°Ð½Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð¼Ð°ÑÐµÑÐ¸Ð°Ð»ÑÐ½Ð¾-ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð¾Ð±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ñ. ÐÑÐ»Ð¸ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ñ Ð¿ÑÑÐ¸ ÑÐ¾Ð²ÐµÑÑÐµÐ½ÑÑÐ²Ð¾Ð²Ð°Ð½Ð¸Ñ Ð² ÑÑÐµÑÐµ Ð¼Ð°ÑÐµÑÐ¸Ð°Ð»ÑÐ½Ð¾ ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð¾Ð±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ñ, Ð½Ð°Ð¿ÑÐ°Ð²Ð»ÐµÐ½Ð½ÑÐµ Ð½Ð° ÑÐ»ÑÑÑÐµÐ½Ð¸Ðµ ÑÑÐ°Ð½ÑÐ¿Ð¾ÑÑÐ½Ð¾Ð¹ Ð¸ Ð¿Ð¾ÑÑÐ¾Ð²Ð¾Ð¹ Ð»Ð¾Ð³Ð¸ÑÑÐ¸ÐºÐ¸, Ð¾Ð±Ð½Ð¾Ð²Ð»ÐµÐ½Ð¸Ðµ Ð¾Ð±ÑÐµÐºÑÐ¾Ð² Ð¿Ð¾ÑÑÐ¾Ð²Ð¾Ð¹ ÑÐ²ÑÐ·Ð¸, Ð¼Ð¾Ð´ÐµÑÐ½Ð¸Ð·Ð°ÑÐ¸Ñ ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¾Ð¹ Ð¸ Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ Ð¸Ð½ÑÑÐ°ÑÑÑÑÐºÑÑÑÑ. Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð° Ð¼ÐµÑÐ¾Ð´Ð¸ÐºÐ° ÑÐµÐ¹ÑÐ¸Ð½Ð³Ð¾Ð²Ð¾Ð¹ Ð¾ÑÐµÐ½ÐºÐ¸ Ð¸ Ð²ÑÐ±Ð¾ÑÐ° Ð¿Ð¾ÑÑÐ°Ð²ÑÐ¸ÐºÐ¾Ð². ÐÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½Ð½ÑÐµ Ð¼ÐµÑÐ¾Ð¿ÑÐ¸ÑÑÐ¸Ñ Ð¿Ð¾Ð·Ð²Ð¾Ð»ÑÑ Ð¿Ð¾Ð²ÑÑÐ¸ÑÑ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÑ Ð´ÐµÑÑÐµÐ»ÑÐ½Ð¾ÑÑÐ¸ Ð¿ÑÐµÐ´Ð¿ÑÐ¸ÑÑÐ¸Ñ.
The public library and intersections of houselessness in two small cities of interior British Columbia
Creators: name: Isch, Emilie
Publisher: name: University of British Columbia
Year: 2025

description: This thesis investigates how public libraries presently mitigate intersections of houselessness in two small cities in the southern interior region of British Columbia (B.C.). The research identifies on three main topics relating to intersections of houselessness, small cities, and the public library. The first topic seeks to understand the role of political economic systems (primarily, neoliberalism) as they exacerbate intersections ranging from the toxic opioid supply to housing and privatization, and anthropogenic climate change. The second topic outlines how these intersections and topics function in the small city landscape, broadening the research away from strictly urban environments. Lastly, the topic of the public library places an emphasis on infrastructure, both social and physical, and conceptualizes the public library as more than just a third space, but rather as a lived space. This centers a discussion around public libraries existing in opposition to privatized spaces within neoliberal society. This thesis follows an interdisciplinary research design, using two methodologies ‘content analysis’ and ‘semi structured interviews’ to deliberate five key findings. Content analysis reviewed sources from City Profiles and relevant Institutes, and highlighted key words within their respective discourse on the chosen topics. Semi-structured interviews were conducted with ten participants from the two sites of study for this thesis – Nelson and Vernon. Outcomes of this thesis position the state of small cities through the changing face of houselessness, urbanization and housing, and community efforts and actions. The findings also explore the function of public libraries as they service to promote inclusivity, safety, community, and harm mitigation. Moreover, this work addresses the role of librarians and library staff alongside challenges and barriers, with outcomes situating relational engagement, training, de-escalation, and skills equipping. Ultimately, these conclusions outline best practices to effectively achieve the overarching argument of the small city public library as a site of resistance. Through this investigation of the public library, we may be better equipped to understand intersections of houselessness in other small cities of B.C. and beyond.
title: Ð¨Ð¸ÑÐ¾ÐºÐ¾ÑÐµÐ³ÑÐ»Ð¸ÑÑÐµÐ¼ÑÐ¹ ÐÐÐ¢ Ð¼Ð¾ÑÐ½Ð¾ÑÑÑÑ 15 ÐºÐÑ, 440 Ð Ð¸ n/nmax =750/4000 Ð¾Ð±/Ð¼Ð¸Ð½
title: Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÑÐºÐ°Ñ ÑÐ°Ð±Ð¾ÑÐ°
titleType: Subtitle
Creators: name: ÐÐ°ÑÐ°Ð½ÑÐµÐ², ÐÐ»Ð°Ð´Ð¸ÑÐ»Ð°Ð²
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2016
Subjects: Ð´Ð²Ð¸Ð³Ð°ÑÐµÐ»Ñ
Ð¿Ð¾ÑÑÐ¾ÑÐ½Ð½ÑÐ¹ ÑÐ¾Ðº
ÑÐ»ÐµÐºÑÑÐ¾Ð¼Ð°Ð³Ð½Ð¸ÑÐ½Ð¾Ðµ Ð²Ð¾Ð·Ð±ÑÐ¶Ð´ÐµÐ½Ð¸Ðµ
ÑÐ¸Ð½ÑÐµÑÐ¸ÑÐµÑÐºÐ¸Ð¹ Ð¼ÐµÑÐ¾Ð´
ÑÐ°Ð±Ð¾ÑÐ¸Ðµ Ñ Ð°ÑÐ°ÐºÑÐµÑÐ¸ÑÑÐ¸ÐºÐ¸
Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð¿Ð¾Ð»Ñ
Ð¿Ð¾ÑÑÐ¾ÑÐ½Ð½ÑÐ¹ Ð¼Ð°Ð³Ð½Ð¸Ñ
ÐºÐ¾Ð¼Ð¼ÑÑÐ°ÑÐ¸Ñ
motor
direct current
electromagnetic excitation
synthetic method
performance data
magnetic field modelling
permanent magnet
commutation

description: ÐÑÐ¸Ð²ÐµÐ´ÐµÐ½Ñ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÑ ÑÐ»ÐµÐºÑÑÐ¾Ð¼Ð°Ð³Ð½Ð¸ÑÐ½Ð¾Ð³Ð¾ Ð¸ ÑÐµÐ¿Ð»Ð¾Ð²Ð¾Ð³Ð¾ ÑÐ°ÑÑÐµÑÐ¾Ð² ÑÐ¸ÑÐ¾ÐºÐ¾ÑÐµÐ³ÑÐ»Ð¸ÑÑÐµÐ¼Ð¾Ð³Ð¾ Ð´Ð²Ð¸Ð³Ð°ÑÐµÐ»Ñ Ð¿Ð¾ÑÑÐ¾ÑÐ½Ð½Ð¾Ð³Ð¾ ÑÐ¾ÐºÐ° Ð¼Ð¾ÑÐ½Ð¾ÑÑÑÑ 15 ÐºÐÑ Ñ ÑÐ°ÑÑÐ¾ÑÐ¾Ð¹ Ð²ÑÐ°ÑÐµÐ½Ð¸Ñ 750/4000 Ð¾Ð±/Ð¼Ð¸Ð½ Ð¸ Ð½Ð¾Ð¼Ð¸Ð½Ð°Ð»ÑÐ½ÑÐ¼ Ð½Ð°Ð¿ÑÑÐ¶ÐµÐ½Ð¸ÐµÐ¼ 440 Ð. ÐÑÐ¿Ð¾Ð»Ð½ÐµÐ½ Ð°Ð½Ð°Ð»Ð¸Ð· Ð²Ð»Ð¸ÑÐ½Ð¸Ñ Ð¿Ð°Ð·Ð¾Ð²Ð¾Ð¹ Ð³ÐµÐ¾Ð¼ÐµÑÑÐ¸Ð¸ Ð½Ð° ÑÐ°ÑÐ°ÐºÑÐµÑÐ¸ÑÑÐ¸ÐºÐ¸ Ð¼Ð°ÑÐ¸Ð½Ñ. ÐÐ°Ð·Ð¾Ð²Ð°Ñ Ð³ÐµÐ¾Ð¼ÐµÑÑÐ¸Ñ Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð° Ð² Ð¿ÑÐ¾ÑÐµÑÑÐµ Ð¿ÑÐ¾ÐµÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ. ÐÐ°Ð³Ð½Ð¸ÑÐ½Ð¾Ðµ Ð¿Ð¾Ð»Ðµ ÑÐ¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¾ Ð¼ÐµÑÐ¾Ð´Ð¾Ð¼ ÐºÐ¾Ð½ÐµÑÐ½ÑÑ ÑÐ»ÐµÐ¼ÐµÐ½ÑÐ¾Ð² Ð² Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ðµ ElCut.
description: The results of the electromagnetic and thermal calculations of the 15 kW DC motor are performed. The analysis of the influence of the slot geometry is considered. Slot geometry is optimized in the design process. The magnetic field is modeled.
Additional file 6 of SARS-CoV-2 infection increases risk of acute kidney injury in a bimodal age distribution
Creators: name: Bjornstad, Erica C.
name: Cutter, Gary
name: Guru, Pramod
name: Menon, Shina
name: Aldana, Isabella
name: House, Scott
name: M. Tofil, Nancy
name: St. Hill, Catherine A.
name: Tarabichi, Yasir
name: Banner-Goodspeed, Valerie M.
name: Christie, Amy B.
name: Mohan, Surapaneni Krishna
name: Sanghavi, Devang
name: Mosier, Jarrod M.
name: Vadgaonkar, Girish
name: Walkey, Allan J.
name: Kashyap, Rahul
name: Kumar, Vishakha K.
name: Bansal, Vikas
name: Boman, Karen
name: Sharma, Mayank
name: Bogojevic, Marija
name: Deo, Neha
name: Retford, Lynn
name: Gajic, Ognjen
name: Gist, Katja M.
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Developmental Biology
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: Computational Biology

description: Additional file 6: Supplementary Fig. 5. Age Distribution of Hospitalized Patients with SARS-CoV2 who Experienced AKI within First 7 days of Hospitalization Stratified by U.S. versus non-U.S. Hospital. Presents percentage of hospitalized patients who developed acute kidney injury (AKI) among all hospitalized patients and further stratified by hospital center based in the United States versus not in the United States. AKI defined per KDIGO guidelines.
title: ÐÑÐ¾ÐµÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð¸ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ ÑÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸Ð¸ Ñ Ð¾Ð»Ð¾Ð´Ð½Ð¾Ð¹ Ð¾Ð±ÑÐµÐ¼Ð½Ð¾Ð¹ ÑÑÐ°Ð¼Ð¿Ð¾Ð²ÐºÐ¸ Ð´ÐµÑÐ°Ð»Ð¸ "ÐÐ½ÑÑÑÐµÐ½Ð½ÐµÐµ ÐºÐ¾Ð»ÑÑÐ¾" Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ð³Ð¾ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ
title: Ð¼Ð°Ð³Ð¸ÑÑÐµÑÑÐºÐ°Ñ Ð´Ð¸ÑÑÐµÑÑÐ°ÑÐ¸Ñ
titleType: Subtitle
Creators: name: Ð¥ÑÐ¾Ð¼Ð¾Ð²Ð°, ÐÐ»ÑÐ³Ð°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2016
Subjects: ÐÑÐ´Ð°Ð²Ð»Ð¸Ð²Ð°Ð½Ð¸Ðµ Ð¼ÐµÑÐ°Ð»Ð»Ð¾Ð²
Ð¨ÑÐ°Ð¼Ð¿Ð¾Ð²ÐºÐ° Ð¼ÐµÑÐ°Ð»Ð»Ð¾Ð² Ñ Ð¾Ð»Ð¾Ð´Ð½Ð°Ñ
ÐÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ðµ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ
ÐÐµÑÐ°Ð»Ð¸ Ð¼Ð°ÑÐ¸Ð½
ÐÐ¾Ð½ÐµÑÐ½ÑÑ ÑÐ»ÐµÐ¼ÐµÐ½ÑÐ¾Ð² Ð¼ÐµÑÐ¾Ð´

description: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð° ÑÐµÑÐ½Ð¾Ð»Ð¾Ð³Ð¸Ñ ÑÐ¾Ð»Ð¾Ð´Ð½Ð¾Ð¹ Ð¾Ð±ÑÑÐ¼Ð½Ð¾Ð¹ ÑÑÐ°Ð¼Ð¿Ð¾Ð²ÐºÐ¸ Ð´ÐµÑÐ°Ð»Ð¸ Â«ÐÐ½ÑÑÑÐµÐ½Ð½ÐµÐµ ÐºÐ¾Ð»ÑÑÐ¾ Ð¨Ð Ð£Ð¡Â». Ð Ð°ÑÑÑÐ¸ÑÐ°Ð½Ñ ÑÐ°Ð·Ð¼ÐµÑÑ Ð·Ð°Ð³Ð¾ÑÐ¾Ð²ÐºÐ¸ Ð¸ Ð²ÑÐ±ÑÐ°Ð½ Ð¼Ð°ÑÐµÑÐ¸Ð°Ð» Ð·Ð°Ð³Ð¾ÑÐ¾Ð²ÐºÐ¸, Ñ ÑÑÐµÐ±ÑÐµÐ¼ÑÐ¼Ð¸ Ð¼ÐµÑÐ°Ð½Ð¸ÑÐµÑÐºÐ¸Ð¼Ð¸ ÑÐ°ÑÐ°ÐºÑÐµÑÐ¸ÑÑÐ¸ÐºÐ°Ð¼Ð¸ Ð¸ ÑÐ¸Ð¼Ð¸ÑÐµÑÐºÐ¸Ð¼ ÑÐ¾ÑÑÐ°Ð²Ð¾Ð¼, ÑÐ¿ÑÐ¾ÐµÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½ Ð¸Ð½ÑÑÑÑÐ¼ÐµÐ½Ñ; Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½ ÑÐºÑÐ¿ÐµÑÐ¸Ð¼ÐµÐ½Ñ, Ð² ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ ÐºÐ¾ÑÐ¾ÑÐ¾Ð³Ð¾ Ð¿Ð¾Ð»ÑÑÐµÐ½Ñ Ð¼ÐµÑÐ°Ð½Ð¸ÑÐµÑÐºÐ¸Ðµ ÑÐ°ÑÐ°ÐºÑÐµÑÐ¸ÑÑÐ¸ÐºÐ¸ Ð¼Ð°ÑÐµÑÐ¸Ð°Ð»Ð° Ð·Ð°Ð³Ð¾ÑÐ¾Ð²ÐºÐ¸; Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ ÑÐºÑÐ¿ÐµÑÐ¸Ð¼ÐµÐ½ÑÐ°Ð»ÑÐ½ÑÑ Ð´Ð°Ð½Ð½ÑÑ Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð¾ ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ðµ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð² ÐºÐ¾Ð½ÐµÑÐ½Ð¾-ÑÐ»ÐµÐ¼ÐµÐ½ÑÐ½Ð¾Ð¼ ÐºÐ¾Ð¼Ð¿Ð»ÐµÐºÑÐµ; Ð²ÑÐ±ÑÐ°Ð½Ð¾ Ð¾Ð±Ð¾ÑÑÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ; ÑÐ¿ÑÐ¾ÐµÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½ ÑÑÐ°Ð¼Ð¿ Ð´Ð»Ñ Ð³Ð¸Ð´ÑÐ°Ð²Ð»Ð¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð¿ÑÐµÑÑÐ°; Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½ ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ°ÑÑÑÑ; Ð´Ð°Ð½Ñ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐ¸Ð¸ Ð¿Ð¾ ÑÐµÑÐ½Ð¸ÐºÐµ Ð±ÐµÐ·Ð¾Ð¿Ð°ÑÐ½Ð¾ÑÑÐ¸.
What do I need to know about data journals?
Creators: name: Elger, Kirsten
name: Carlson, David J.
name: Fox, Peter A.
name: Hufton, Andrew L.
name: Klump, Jens
name: Peng, Ge
Publisher: name: Zenodo
Year: 2021
Subjects: data journals, data publication, open science, open data, FAIR

description: Researchers can now discover and share data through a peer-review publication process, resulting in trustworthy data for users and credit for providers. Data journals have become increasingly attractive as they bridge gaps between the scientific and the data “worlds”: Researchers get rewarded for articles describing data that are openly shared. Perennial concepts of quality, uncertainty and validity have taken on enhanced and expanded importance. Data publication has turned scientific practice on its head: where once one might have protected one’s data while promoting one’s career through skillful analysis, now one can (and should) get equal or greater credit for skillful preparation of a data product for widespread use. In this town hall, prominent data journals review the current state of data publishing, access and exchange. We invite interested researchers to learn differences between data journals and scientific journals, and what data journals expect or discourage for articles and data availability? Looking ahead, we will explore opportunities but also challenges in big data, machine learning, rapid updates, virtual reality, and trans-national data archival.
description: Slides of the townhall held on 4th December 2020 during the virtual AGU Fall Meeting 2020
The effect of kinematic constraints on multi-tension string network evolution
Creators: name: Avgoustidis, A.
name: Copeland, E. J.
Publisher: name: arXiv
Year: 2009
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We consider the evolution of a network of strings in an expanding universe, allowing for the formation of junctions between strings of different tensions. By explicitly including, in the velocity-dependent evolution equations for the network, kinematic constraints associated with the formation of Y-shaped string junctions, we show how they lead to scaling solutions in regimes where they would not otherwise be found, thereby extending the range of parameters which lead to scaling. By incorporating these constraints we are able to study their general behaviour for networks with cosmic superstring interaction rules, and predict the scaling densities expected by these networks.
description: 24 pages, 7 figures
Additional file 1 of Typical antipsychotics is associated with increased risk of severe exacerbation in asthma patients: a nationwide population-based cohort study
Creators: name: Kuo, Chin-Wei
name: Yang, Szu-Chun
name: Shih, Yu-Fen
name: Liao, Xin-Min
name: Lin, Sheng-Hsiang
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Pharmacology
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: Developmental Biology
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: 110309 Infectious Diseases

description: Additional file 1. Table S1. Elimination half-life of each antipsychotic. Table S2. Ninth and 10th revision international classification of diseases codes of comorbidity. Table S3. List of comedications in the presented study. Table S4. Receptor-binding profile of antipsychotics with bronchial relaxation effect. Table S5. The adjusted odds ratio of all covariates in multivariable conditional logistic regression. Table S6. Risk of severe asthma exacerbation by different classes of antipsychotics and doses in patients with schizophrenia. Table S7. Risk of severe asthma exacerbation by different classes of antipsychotics and doses in patients with depression. Table S8. Risk of severe asthma exacerbation by different classes of antipsychotics and doses in patients with bipolar disorder. Table S9. Risk of severe asthma exacerbation by different classes of antipsychotics and doses after excluding patients had psychiatric disorder related admission or ED visiting. Table S10. Risk of severe asthma exacerbation by different classes of antidepressants and doses.
title: ÐÐ°Ð³Ð½Ð¸ÑÐ½ÑÐµ Ð½Ð°Ð½Ð¾ÑÐ°ÑÑÐ¸ÑÑ ÐºÐ°Ðº ÑÑÐµÐ´ÑÑÐ²Ð° Ð°Ð´ÑÐµÑÐ½Ð¾Ð¹ Ð´Ð¾ÑÑÐ°Ð²ÐºÐ¸ Ð»ÐµÐºÐ°ÑÑÑÐ²ÐµÐ½Ð½ÑÑ Ð²ÐµÑÐµÑÑÐ² Ð² Ð¼Ð¸Ð¾ÐºÐ°ÑÐ´
title: Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÑÐºÐ°Ñ ÑÐ°Ð±Ð¾ÑÐ°
titleType: Subtitle
Creators: name: ÐÐ¾Ð³ÑÑÐµÐ²ÑÐºÐ°Ñ, ÐÐ»Ð°Ð´Ð°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2017
Subjects: ÐÐ°Ð½Ð¾ÑÑÑÑÐºÑÑÑÐ½ÑÐµ Ð¼Ð°ÑÐµÑÐ¸Ð°Ð»Ñ
Ð¼Ð°Ð³Ð½Ð¸ÑÐ½ÑÐµ Ð½Ð°Ð½Ð¾ÑÐ°ÑÑÐ¸ÑÑ
ÑÐµÑÐ´ÐµÑÐ½Ð¾-ÑÐ¾ÑÑÐ´Ð¸ÑÑÑÐµ Ð·Ð°Ð±Ð¾Ð»ÐµÐ²Ð°Ð½Ð¸Ñ
Ð¼Ð¸Ð¾ÐºÐ°ÑÐ´Ð°
Ð»ÐµÐºÐ°ÑÑÑÐ²ÐµÐ½Ð½ÑÐµ Ð²ÐµÑÐµÑÑÐ²Ð°

description: Ð Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÐµ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð»Ð°ÑÑ Ð¿ÑÐ¸Ð½ÑÐ¸Ð¿Ð¸Ð°Ð»ÑÐ½Ð°Ñ Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½Ð¾ÑÑÑ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ñ Ð¼Ð°Ð³Ð½Ð¸ÑÐ½ÑÑ Ð½Ð°Ð½Ð¾ÑÐ°ÑÑÐ¸Ñ Ð¼Ð°Ð³Ð½ÐµÑÐ¸ÑÐ° Ð¸ Ð¼Ð°Ð³Ð½Ð¸ÑÐ½ÑÑ ÐºÐ¾Ð»Ð»Ð¾Ð¸Ð´Ð½ÑÑ Ð½Ð°Ð½Ð¾ÑÐ°ÑÑÐ¸Ñ Ñ ÑÐ¸Ð»Ð¸ÐºÐ°ÑÐ½Ð¾Ð¹ Ð¾Ð±Ð¾Ð»Ð¾ÑÐºÐ¾Ð¹ FemOn-SiO2, ÐºÐ°Ðº ÑÑÐµÐ´ÑÑÐ² Ð°Ð´ÑÐµÑÐ½Ð¾Ð¹ Ð´Ð¾ÑÑÐ°Ð²ÐºÐ¸ Ð»ÐµÐºÐ°ÑÑÑÐ²ÐµÐ½Ð½ÑÑ Ð²ÐµÑÐµÑÑÐ² Ð² Ð¼Ð¸Ð¾ÐºÐ°ÑÐ´. ÐÐ° Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð¿ÐµÑÑÑÐ·Ð¸ÑÑÐµÐ¼Ð¾Ð³Ð¾ Ð¸Ð·Ð¾Ð»Ð¸ÑÐ¾Ð²Ð°Ð½Ð½Ð¾Ð³Ð¾ ÑÐµÑÐ´ÑÐ° ÐºÑÑÑÑ Ð¿Ð¾ Langendorff Ñ Ð²Ð²ÐµÐ´ÐµÐ½Ð¸ÐµÐ¼ Ð¼Ð°Ð³Ð½Ð¸ÑÐ½ÑÑ Ð½Ð°Ð½Ð¾ÑÐ°ÑÑÐ¸Ñ Ð² ÑÑÐ»Ð¾Ð²Ð¸Ð¸ Ð½Ð°Ð»Ð¸ÑÐ¸Ñ/Ð¾ÑÑÑÑÑÑÐ²Ð¸Ñ Ð²Ð½ÐµÑÐ½ÐµÐ³Ð¾ Ð¼Ð°Ð³Ð½Ð¸ÑÐ½Ð¾Ð³Ð¾ Ð¿Ð¾Ð»Ñ Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´Ð¸Ð»Ð¸ Ð¾ÑÐµÐ½ÐºÑ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸ Ð¼Ð°Ð³Ð½Ð¸ÑÐ¾ÑÐ¿ÑÐ°Ð²Ð»ÑÐµÐ¼Ð¾Ð¹ Ð´Ð¾ÑÑÐ°Ð²ÐºÐ¸ Ð½Ð°Ð½Ð¾ÑÐ°ÑÑÐ¸Ñ, Ð° ÑÐ°ÐºÐ¶Ðµ Ð²Ð»Ð¸ÑÐ½Ð¸Ðµ Ð¼Ð°Ð³Ð½Ð¸ÑÐ½ÑÑ Ð½Ð°Ð½Ð¾ÑÐ°ÑÑÐ¸Ñ Ð½Ð° Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÑ ÑÐ¾ÐºÑÐ°ÑÐ¸ÑÐµÐ»ÑÐ½Ð¾Ð¹ ÑÑÐ½ÐºÑÐ¸Ð¸ Ð¼Ð¸Ð¾ÐºÐ°ÑÐ´Ð°. Ð ÑÐ¾Ð´Ðµ ÑÐ°Ð±Ð¾ÑÑ Ð±ÑÐ»Ð¾ ÑÑÑÐ°Ð½Ð¾Ð²Ð»ÐµÐ½Ð¾, ÑÑÐ¾ Ð½Ð°Ð½Ð¾ÑÐ°ÑÑÐ¸ÑÑ Ð¼Ð°Ð³Ð½ÐµÑÐ¸ÑÐ° Ð¸ ÐºÐ¾Ð¼Ð¿Ð¾Ð·Ð¸ÑÐ½ÑÐµ Ð½Ð°Ð½Ð¾ÑÐ°ÑÑÐ¸ÑÑ Ð¶ÐµÐ»ÐµÐ·Ð° Ð¸ Ð´Ð¸Ð¾ÐºÑÐ¸Ð´Ð° ÐºÑÐµÐ¼Ð½Ð¸Ñ Ð² ÑÐ°Ð²Ð½Ð¾Ð¹ ÑÑÐµÐ¿ÐµÐ½Ð¸ Ð½Ð°ÐºÐ°Ð¿Ð»Ð¸Ð²Ð°ÑÑÑÑ Ð² Ð¼Ð¸Ð¾ÐºÐ°ÑÐ´Ðµ Ð²Ð½Ðµ Ð·Ð°Ð²Ð¸ÑÐ¸Ð¼Ð¾ÑÑÐ¸ Ð¾Ñ ÑÑÐ»Ð¾Ð²Ð¸Ð¹ Ð¸Ñ Ð²Ð²ÐµÐ´ÐµÐ½Ð¸Ñ (Ð½Ð°Ð»Ð¸ÑÐ¸Ñ/Ð¾ÑÑÑÑÑÑÐ²Ð¸Ñ Ð²Ð½ÐµÑÐ½ÐµÐ³Ð¾ Ð¼Ð°Ð³Ð½Ð¸ÑÐ½Ð¾Ð³Ð¾ Ð¿Ð¾Ð»Ñ) Ð² Ð¸Ð·Ð¾Ð»Ð¸ÑÐ¾Ð²Ð°Ð½Ð½Ð¾Ðµ ÑÐµÑÐ´ÑÐµ ÐºÑÑÑÑ. ÐÐ²ÐµÐ´ÐµÐ½Ð¸Ðµ Ð½Ð°Ð½Ð¾ÑÐ°ÑÑÐ¸Ñ Ð¼Ð°Ð³Ð½ÐµÑÐ¸ÑÐ° Ð² Ð¾ÑÑÑÑÑÑÐ²Ð¸Ðµ Ð²Ð»Ð¸ÑÐ½Ð¸Ñ Ð¼Ð°Ð³Ð½Ð¸ÑÐ½Ð¾Ð³Ð¾ Ð¿Ð¾Ð»Ñ Ð¾Ð±ÐµÑÐ¿ÐµÑÐ¸Ð²Ð°Ð»Ð¾ ÑÐ½Ð¸Ð¶ÐµÐ½Ð¸Ðµ ÑÐ¾ÐºÑÐ°ÑÐ¸ÑÐµÐ»ÑÐ½Ð¾Ð¹ Ð°ÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸ Ð¼Ð¸Ð¾ÐºÐ°ÑÐ´Ð°, Ð² ÑÐ¾ Ð²ÑÐµÐ¼Ñ ÐºÐ°Ðº ÐºÐ¾Ð¼Ð¿Ð¾Ð·Ð¸ÑÐ½ÑÐµ Ð½Ð°Ð½Ð¾ÑÐ°ÑÑÐ¸ÑÑ FemOn-SiO2 Ð¾Ð±ÐµÑÐ¿ÐµÑÐ¸Ð²Ð°Ð»Ð¾ Ð°Ð½Ð°Ð»Ð¾Ð³Ð¸ÑÐ½Ð¾Ðµ Ð²Ð»Ð¸ÑÐ½Ð¸Ðµ Ð½Ð° Ð¼Ð¸Ð¾ÐºÐ°ÑÐ´ ÑÐ¾Ð»ÑÐºÐ¾ Ð² ÑÐ»ÑÑÐ°Ðµ Ð¸Ñ Ð²Ð²ÐµÐ´ÐµÐ½Ð¸Ñ Ð² Ð¿ÑÐ¸ÑÑÑÑÑÐ²Ð¸Ð¸ Ð¼Ð°Ð³Ð½Ð¸ÑÐ½Ð¾Ð³Ð¾ Ð¿Ð¾Ð»Ñ. Ð¡Ð½Ð¸Ð¶ÐµÐ½Ð¸Ðµ ÑÐ¾ÐºÑÐ°ÑÐ¸ÑÐµÐ»ÑÐ½Ð¾Ð¹ Ð°ÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸ Ð¸Ð·Ð¾Ð»Ð¸ÑÐ¾Ð²Ð°Ð½Ð½ÑÑ ÑÐµÑÐ´ÐµÑ Ð² ÑÐ¾Ð´Ðµ Ð²Ð²ÐµÐ´ÐµÐ½Ð¸Ñ Ð½Ð°Ð½Ð¾ÑÐ°ÑÑÐ¸Ñ Ð¼Ð°Ð³Ð½ÐµÑÐ¸ÑÐ° Ð¸ ÐºÐ¾Ð¼Ð¿Ð¾Ð·Ð¸ÑÐ½ÑÑ Ð½Ð°Ð½Ð¾ÑÐ°ÑÑÐ¸Ñ Ð½Ðµ ÑÐ²Ð»ÑÐ»Ð¾ÑÑ ÐºÑÐ¸ÑÐ¸ÑÐµÑÐºÐ¸Ð¼, ÑÑÐ½ÐºÑÐ¸Ð¾Ð½Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð¼Ð¸Ð¾ÐºÐ°ÑÐ´Ð° ÑÐ¾ÑÑÐ°Ð½ÑÐ»Ð¾ÑÑ Ð´Ð¾ ÐºÐ¾Ð½ÑÐ° ÑÐºÑÐ¿ÐµÑÐ¸Ð¼ÐµÐ½ÑÐ°.
Additional file 1 of Bex1 is essential for ciliogenesis and harbours biomolecular condensate-forming capacity
Creators: name: Hibino, Emi
name: Ichiyama, Yusuke
name: Tsukamura, Atsushi
name: Senju, Yosuke
name: Morimune, Takao
name: Ohji, Masahito
name: Maruo, Yoshihiro
name: Nishimura, Masaki
name: Mori, Masaki
Publisher: name: figshare
Year: 2022
Subjects: subject: Biophysics
subject: Biochemistry
subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Neuroscience
subject: 69999 Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Plant Biology

description: Additional file 1.
Structural crossover of polymers in disordered media
Creators: name: Parshani, Roni
name: Braunstein, Lidia A.
name: Havlin, Shlomo
Publisher: name: arXiv
Year: 2009
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: FOS: Physical sciences

description: We present a unified scaling theory for the structural behavior of polymers embedded in a disordered energy substrate. An optimal polymer configuration is defined as the polymer configuration that minimizes the sum of interacting energies between the monomers and the substrate. The fractal dimension of the optimal polymer in the limit of strong disorder (SD) was found earlier to be larger than the fractal dimension in weak disorder (WD). We introduce a scaling theory for the crossover between the WD and SD limits. For polymers of various sizes in the same disordered substrate we show that polymers with a small number of monomers, N << N*, will behave as in SD, while large polymers with length N >> N* will behave as in WD. This implies that small polymers will be relatively more compact compared to large polymers even in the same substrate. The crossover length N* is a function of νand a, where νis the percolation correlation length exponent and a is the parameter which controls the broadness of the disorder. Furthermore, our results show that the crossover between the strong and weak disorder limits can be seen even within the same polymer configuration. If one focuses on a segment of size n << N* within a long polymer (N >> N*) that segment will have a higher fractal dimension compared to a segment of size n >> N*.
title: ÐÑÐµÐ½ÐºÐ° Ð¾Ð±ÑÐµÐºÑÐ° Ð½ÐµÐ´Ð²Ð¸Ð¶Ð¸Ð¼Ð¾ÑÑÐ¸ Ð² ÑÐ¾ÑÑÐ°Ð²Ðµ Ð·ÐµÐ¼ÐµÐ»ÑÐ½Ð¾Ð³Ð¾ ÑÑÐ°ÑÑÐºÐ° Ð¸ Ð¾ÑÐ¸ÑÐ½Ð¾Ð³Ð¾ ÑÐµÐ½ÑÑÐ°
title: Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÑÐºÐ°Ñ ÑÐ°Ð±Ð¾ÑÐ°
titleType: Subtitle
Creators: name: ÐÐ°ÑÐ¸Ð»ÑÐµÐ²Ð°, ÐÐ²Ð³ÐµÐ½Ð¸Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2017
Subjects: Ð·ÐµÐ¼ÐµÐ»ÑÐ½ÑÐ¹ ÑÑÐ°ÑÑÐ¾Ðº
Ð¾Ð±ÑÐµÐºÑ Ð¾ÑÐµÐ½ÐºÐ¸
Ð¾Ð¿ÐµÑÐ°ÑÐ¸Ð¾Ð½Ð½ÑÐµ ÑÐ°ÑÑ Ð¾Ð´Ñ
ÑÑÐ°Ð²ÐºÐ° Ð°ÑÐµÐ½Ð´Ñ
ÑÑÐ½Ð¾ÑÐ½Ð°Ñ ÑÑÐ¾Ð¸Ð¼Ð¾ÑÑÑ

description: ÐÐ±ÑÐµÐºÑÐ¾Ð¼ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð² Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÐµ ÑÐ²Ð»ÑÐµÑÑÑ Ð¾Ð±ÑÐµÐºÑ Ð½ÐµÐ´Ð²Ð¸Ð¶Ð¸Ð¼Ð¾Ð³Ð¾ Ð¸Ð¼ÑÑÐµÑÑÐ²Ð°, Ð¿ÑÐµÐ´ÑÑÐ°Ð²Ð»ÐµÐ½Ð½ÑÐ¹ Ð·ÐµÐ¼ÐµÐ»ÑÐ½ÑÐ¼ ÑÑÐ°ÑÑÐºÐ¾Ð¼ ÑÐ¾ Ð·Ð´Ð°Ð½Ð¸ÐµÐ¼ Ð±Ð¸Ð·Ð½ÐµÑ-ÑÐµÐ½ÑÑÐ°, ÑÐ°ÑÐ¿Ð¾Ð»Ð¾Ð¶ÐµÐ½Ð½ÑÐ¹ Ð¿Ð¾ Ð°Ð´ÑÐµÑÑ: Ð³. Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³, ÐÐ°Ð»Ð¸Ð½Ð¸Ð½ÑÐºÐ¸Ð¹ ÑÐ°Ð¹Ð¾Ð½, ÐÐ¶Ð°ÑÑÐºÐ°Ñ ÑÐ»., Ð´. 21, Ð»Ð¸Ñ. Ð¦ÐµÐ»Ñ ÑÐ°Ð±Ð¾ÑÑ - Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ðµ ÑÑÐ½Ð¾ÑÐ½Ð¾Ð¹ ÑÑÐ¾Ð¸Ð¼Ð¾ÑÑÐ¸ Ð¾Ð±ÑÐµÐºÑÐ° Ð½ÐµÐ´Ð²Ð¸Ð¶Ð¸Ð¼Ð¾Ð³Ð¾ Ð¸Ð¼ÑÑÐµÑÑÐ²Ð°, ÑÐ°ÑÑÐ¼Ð¾ÑÑÐµÐ² ÐµÐ³Ð¾ Ð½Ð°Ð¸Ð»ÑÑÑÐµÐµ Ð¸ Ð½Ð°Ð¸Ð±Ð¾Ð»ÐµÐµ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾Ðµ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ðµ. ÐÐ»Ñ Ð´Ð¾ÑÑÐ¸Ð¶ÐµÐ½Ð¸Ñ Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐµÐ»Ð¸ Ð±ÑÐ»Ð° ÑÐ°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ð° Ð¼Ð°ÐºÑÐ¾ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÑÐµÑÐºÐ°Ñ ÑÐ¸ÑÑÐ°ÑÐ¸Ñ Ð² ÑÑÑÐ°Ð½Ðµ Ð² ÑÐµÐ»Ð¾Ð¼, Ð° ÑÐ°ÐºÐ¶Ðµ Ð² Ð³Ð¾ÑÐ¾Ð´Ðµ Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³, Ð±ÑÐ» Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½ Ð°Ð½Ð°Ð»Ð¸Ð· ÑÑÐ½ÐºÐ° ÑÐ¾ÑÐ³Ð¾Ð²Ð¾Ð¹ Ð¸ Ð¾ÑÐ¸ÑÐ½Ð¾Ð¹ Ð½ÐµÐ´Ð²Ð¸Ð¶Ð¸Ð¼Ð¾ÑÑÐ¸. ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð½Ð°Ð¸Ð»ÑÑÑÐµÐ³Ð¾ Ð¸ Ð½Ð°Ð¸Ð±Ð¾Ð»ÐµÐµ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾Ð³Ð¾ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ñ Ð±ÑÐ»Ð¾ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¾ ÐºÐ°Ðº Ð´Ð»Ñ Ð·ÐµÐ¼ÐµÐ»ÑÐ½Ð¾Ð³Ð¾ ÑÑÐ°ÑÑÐºÐ° Ñ Ð¸Ð¼ÐµÑÑÐ¸Ð¼ÑÑ ÑÐ»ÑÑÑÐµÐ½Ð¸ÐµÐ¼, ÑÐ°Ðº Ð¸ Ð´Ð»Ñ ÑÑÐ»Ð¾Ð²Ð½Ð¾ ÑÐ²Ð¾Ð±Ð¾Ð´Ð½Ð¾Ð³Ð¾ ÑÑÐ°ÑÑÐºÐ°. Ð Ð¾Ð±Ð¾Ð¸Ñ ÑÐ»ÑÑÐ°ÑÑ Ð½Ð°Ð¸Ð±Ð¾Ð»ÐµÐµ ÑÑÑÐµÐºÑÐ¸Ð²Ð½ÑÐ¼ Ð²Ð°ÑÐ¸Ð°Ð½ÑÐ¾Ð¼ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ñ ÑÐ²Ð»ÑÐµÑÑÑ ÑÐ¾ÑÐ³Ð¾Ð²Ð¾-Ð¾ÑÐ¸ÑÐ½Ð°Ñ ÑÑÐ½ÐºÑÐ¸Ñ. Ð ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ ÑÑÐµÑ Ð¿Ð¾Ð´ÑÐ¾Ð´Ð¾Ð² Ðº Ð¾ÑÐµÐ½ÐºÐµ Ð½ÐµÐ´Ð²Ð¸Ð¶Ð¸Ð¼Ð¾Ð³Ð¾ Ð¸Ð¼ÑÑÐµÑÑÐ²Ð° Ð±ÑÐ»Ð° ÑÑÑÐ°Ð½Ð¾Ð²Ð»ÐµÐ½Ð° ÑÑÐ½Ð¾ÑÐ½Ð°Ñ ÑÑÐ¾Ð¸Ð¼Ð¾ÑÑÑ Ð¾Ð±ÑÐµÐºÑÐ° Ð¾ÑÐµÐ½ÐºÐ¸ Ð¿Ð¾ ÑÐ¾ÑÑÐ¾ÑÐ½Ð¸Ñ Ð½Ð° 01.03.2017Ð³., ÐºÐ¾ÑÐ¾ÑÐ°Ñ ÑÐ¾ÑÑÐ°Ð²Ð¸Ð»Ð° Ð¾ÐºÑÑÐ³Ð»ÐµÐ½Ð½Ð¾ 840 000 ÑÑÑ. ÑÑÐ±. Ð±ÐµÐ· ÑÑÐµÑÐ° ÐÐÐ¡.
title: Интерполяция и аппроксимация табулированных функций
Creators: name: ELS IPR BOOKS
Publisher: name: Донской государственный технический университет
Year: 2023

description: Изложены основные подходы к постановке задач обработки экспериментальных данных на основе методов аппроксимации функциональных зависимостей: полиномиальной интерполяции, метода наименьших квадратов. Представлена реализация алгоритмов решения прикладных задач и примеры использования инструментария ППП Matlab для обработки данных экспериментальных наблюдений. Приведены варианты индивидуальных заданий к лабораторному практикуму. Предназначено для обучающихся всех профилей дневной и заочной форм обучения по направлениям подготовки 11.00.00 Электроника, радиотехника и системы связи, 13.00.00. Электро- и теплоэнергетика, 15.00.00 Машиностроение, 23.00.00 Техника и технологии наземного транспорта.