Zobrazeno 1 - 10
of 1 029
pro vyhledávání: '"Szafranek A"'
Publikováno v:
Soil Science Annual, Vol 65, Iss 4, Pp 170-179 (2014)
Celem przeprowadzonych badań było wskazanie najważniejszych problemów związanych z gleboznawczą klasyfikacją gruntów rolnych w rejonie Kopalni Węgla Brunatnego „Bełchatów”. Analiza polegała na porównaniu danych dla wsi Łękińsko za
Externí odkaz:
https://doaj.org/article/66f77b31b6754010bbc53ec3a5d5d44b
Publikováno v:
In Energy Economics September 2024 137
Publikováno v:
In Cities August 2024 151
Publikováno v:
In International Review of Economics and Finance June 2024 93 Part A:789-810
Autor:
Szafranek, Karol1 (AUTHOR) karol.szafranek@sgh.waw.pl, Rubaszek, Michał1 (AUTHOR) michal.rubaszek@sgh.waw.pl
Publikováno v:
Studies in Nonlinear Dynamics & Econometrics. Jun2024, Vol. 28 Issue 3, p507-530. 24p.
Publikováno v:
In Journal of Environmental Management March 2024 355
Publikováno v:
In International Journal of Coal Geology 1 February 2024 282
Validation of NEWS2, SIRS, and qSOFA in Postoperative Cardiac Patients: A Retrospective Cohort Study
Autor:
Gysling, Savannah, Shanmuganathan, Selvaraj, Szafranek, Adam, Stewart, Iain D., Caruana, Edward J.
Publikováno v:
In Journal of Surgical Research January 2024 293:364-372
Publikováno v:
Econometric Research in Finance, Vol 8, Iss 1 (2024)
We investigate the relationship between the three most popular uncertainty measures with the means of the state-of-the-art connectedness frameworks applied to the time-varying parameters vector autoregression model with stochastic volatility. We find
Externí odkaz:
https://doaj.org/article/d914ef7f48984ec4b2788d7b8f246986
Autor:
Szafranek Angela, Teitell Michael A, Hong Jason S, Dawson David W, Ioshikhes Ilya, Costello Joseph, Wang Shu-Huei, Chen Shih-Shih, Dai Zunyan, Liu Chunhui, Yu Li, Smith Laura T, Rush Laura J, Su Jian, Ansari Tahmina, Liang Ping, Wu Yue-Zhong, Oakes Christopher C, Kazhiyur-Mannar Ramakrishnan, Smiraglia Dominic J, Camoriano Marta, Song Fei, Elliott Rosemary, Held William, Trasler Jacquetta M, Plass Christoph, Wenger Rephael
Publikováno v:
BMC Genomics, Vol 8, Iss 1, p 446 (2007)
Abstract Background Restriction landmark genomic scanning (RLGS) is one of the most successfully applied methods for the identification of aberrant CpG island hypermethylation in cancer, as well as the identification of tissue specific methylation of
Externí odkaz:
https://doaj.org/article/d383b44a7a024e14b54e0bae238ff69b