Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Debora Slanzi"'
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 6, Iss 3, Pp 1798-1817 (2024)
In medicine, dynamic treatment regimes (DTRs) have emerged to guide personalized treatment decisions for patients, accounting for their unique characteristics. However, existing methods for determining optimal DTRs face limitations, often due to reli
Externí odkaz:
https://doaj.org/article/777d818e90b34b589d3ffecd785054c2
Autor:
Roger D. Jones, Seyum Abebe, Veronica Distefano, Gert Mayer, Irene Poli, Claudio Silvestri, Debora Slanzi
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
IntroductionCurrent guidelines recommend renin angiotensin system inhibitors (RASi) as key components of treatment of diabetic kidney disease (DKD). Additional options include sodium-glucose cotransporter-2 inhibitors (SGLT2i), glucagon-like peptide
Externí odkaz:
https://doaj.org/article/5b6d3cd251d1419a8bffa812e0cd66b1
Publikováno v:
PLoS ONE, Vol 7, Iss 5, p e36634 (2012)
Are extant proteins the exquisite result of natural selection or are they random sequences slightly edited by evolution? This question has puzzled biochemists for long time and several groups have addressed this issue comparing natural protein sequen
Externí odkaz:
https://doaj.org/article/9e5c6f169fa84952b1bfae925f119404
Publikováno v:
Urban Studies. 57:655-671
The development of high-tech industrial parks has transformed the urban landscape in China. However, little is known of the perception of these changes by those affected by their planning and implementation. In order to shed light on this issue, we c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ed4ab515b613483ab14765d68626711
https://doi.org/10.1177/0042098019828997
https://doi.org/10.1177/0042098019828997
Publikováno v:
Pattern Recognition. ICPR International Workshops and Challenges ISBN: 9783030687984
ICPR Workshops (4)
ICPR Workshops (4)
Lead Optimization is a complex process, whereby a large number of interacting entities give rise to molecular structures whose properties should be optimized in order to be considered for drug development. We will study molecular systems that are cha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::938ab0ba5203700dabed9e652ead5369
http://hdl.handle.net/10278/3738884
http://hdl.handle.net/10278/3738884
Bayesian regression models have been widely studied and adopted in the statistical literature. Many studies consider the development of reliable priors to select the relevant variables and derive accurate posterior predictive distributions. Moreover
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1da67cd0ad6982dfbfce97264b04f6e0
One of the main problems that the drug discovery research field confronts is to identify small molecules, modulators of protein function, which are likely to be therapeutically useful. Common practices rely on the screening of vast libraries of small
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1818bd1d1e40a6fe5403dedb0d93b19
https://hdl.handle.net/10278/3738547
https://hdl.handle.net/10278/3738547
Oceans are changing faster than even observed before. Unprecedented climate variability is interacting with long-term trends, all against a backdrop of rising anthropogenic use of marine space. The growth of maritime activities is taking place withou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef42efd1ca938f099740f7581ccb10bd
http://hdl.handle.net/10278/3724647
http://hdl.handle.net/10278/3724647
Publikováno v:
Applied Energy. 184:1400-1410
In this paper we address the problem of designing new energy-efficient static daylight devices that will surround the external windows of a residential building in Madrid. Shading devices can in fact largely influence solar gains in a building and im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9295853d21cf12b4566d92e38dd2ee29
https://doi.org/10.1016/j.apenergy.2016.05.015
https://doi.org/10.1016/j.apenergy.2016.05.015
Publikováno v:
New Statistical Developments in Data Science ISBN: 9783030211578
Currently many research problems are addressed by analysing datasets characterized by a huge number of variables, with a relatively limited number of observations, especially when data are generated by experimentation. Most of the classical statistic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2812845cdf859d91a621159825587cbe
http://hdl.handle.net/10278/3708952
http://hdl.handle.net/10278/3708952