CVD grown GaSb

Autor: Dennis, Zywitzki, Dariusz, Mitoraj, Yury, Vilk, Oliver, Mendoza Reyes, Markus, Schleuning, Dennis, Friedrich, Alexander, Sadlo, Detlef, Rogalla, Rainer, Eichberger, Radim, Beranek, Anjana, Devi

Publikováno v: Dalton transactions (Cambridge, England : 2003). 50(41)

The III-V semiconductor GaN is a promising material for photoelectrochemical (PEC) cells, however the large bandgap of 3.45 eV is a considerable hindrance for the absorption of visible light. Therefore, the substitution of small amounts of N anions b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::fc8663fda4d7e55e5bafa1f28b410914
https://pubmed.ncbi.nlm.nih.gov/34596651

Distributed Regression Analysis Application in Large Distributed Data Networks: Analysis of Precision and Operational Performance

Autor: Qoua L. Her, Denise M. Boudreau, Yury Vilk, David Tabano, Zilu Zhang, Jack Hamilton, Sengwee Toh, Jessica G. Young, Marsha A. Raebel, Ron L. Johnson, Jessica Malenfant

Publikováno v: JMIR Medical Informatics, Vol 8, Iss 6, p e15073 (2020)
JMIR Medical Informatics

Background A distributed data network approach combined with distributed regression analysis (DRA) can reduce the risk of disclosing sensitive individual and institutional information in multicenter studies. However, software that facilitates large-s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c16f55f6c0976caf729b588e629d268
https://medinform.jmir.org/2020/6/e15073

Automatable Distributed Regression Analysis of Vertically Partitioned Data Facilitated by PopMedNet: Feasibility and Enhancement Study

Autor: Aleksandra B. Slavkovic, Qoua L. Her, Thomas Kent, Sengwee Toh, Yury Vilk, Yuji Samizo

Publikováno v: JMIR Medical Informatics
JMIR Medical Informatics, Vol 9, Iss 4, p e21459 (2021)

Background In clinical research, important variables may be collected from multiple data sources. Physical pooling of patient-level data from multiple sources often raises several challenges, including proper protection of patient privacy and proprie

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a54e3db6fb33ceb33e0da4a07a5e3da
https://doi.org/10.2196/21459

A Query Workflow Design to Perform Automatable Distributed Regression Analysis in Large Distributed Data Networks

Autor: Jessica Malenfant, Qoua L. Her, Sarah Malek, Jessica G. Young, Lingling Li, Jeffery Brown, Yury Vilk, Sengwee Toh

Publikováno v: eGEMs (Generating Evidence & Methods to improve patient outcomes); Vol 6, No 1 (2018); 11
eGEMs, Vol 6, Iss 1 (2018)
eGEMs

Introduction: Patient privacy and data security concerns often limit the feasibility of pooling patient-level data from multiple sources for analysis. Distributed data networks (DDNs) that employ privacy-protecting analytical methods, such as distrib

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c11e93f37141043961a669c983e1950
https://egems.academyhealth.org/jms/article/view/209

Uncontrolled Asthma in a Commercially Insured Population From 2002 to 2007: Trends, Predictors, and Costs

Autor: Gregory S. Sawicki, Jeanne M. Madden, Ken Kleinman, Allyson M Abrams, Yury Vilk, Michael Schatz

Publikováno v: Journal of Asthma. 47:574-580

Uncontrolled asthma leads to preventable morbidity and increased health care utilization. The authors examined trends, predictors, and costs of uncontrolled asthma over 5 years in a large health plan population.The authors retrospectively examined ad

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1f19dbd8e24178ce92fbd7729c53752
https://doi.org/10.3109/02770901003792841