Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Sillanpää, A."'
Autor:
Timo Rahnel, Frederick K Weitz, Ville M Mattila, Aleksi Reito, Erkki Nilkku, Antti P Launonen, Petri J Sillanpää
Publikováno v:
PLoS ONE, Vol 19, Iss 7, p e0304075 (2024)
Patella alta is a clinical condition where the patella is positioned too proximal in relation to the femoral trochlea. Such an abnormality may cause patellar instability and predispose to recurrent patellofemoral dislocations and patellofemoral pain.
Externí odkaz:
https://doaj.org/article/1435f4966a494081bcb0cb2ddeb944db
Akademický článek
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Autor:
Lauri Lovén, Virve Karsisto, Heikki Järvinen, Mikko J Sillanpää, Teemu Leppänen, Ella Peltonen, Susanna Pirttikangas, Jukka Riekki
Publikováno v:
PLoS ONE, Vol 14, Iss 2, p e0211702 (2019)
Mobile, vehicle-installed road weather sensors are becoming ubiquitous. While mobile sensors are often capable of making observations on a high frequency, their reliability and accuracy may vary. Large-scale road weather observation and forecasting a
Externí odkaz:
https://doaj.org/article/2160e23e3ff8458dba967f08bea95f2a
Autor:
Yulan Zhang, Shichang Kang, Gang Li, Tanguang Gao, Pengfei Chen, Xiaofei Li, Yajun Liu, Zhaofu Hu, Shiwei Sun, Junming Guo, Kun Wang, Xintong Chen, Mika Sillanpää
Publikováno v:
PLoS ONE, Vol 13, Iss 10, p e0205414 (2018)
Dissolved organic carbon (DOC) released from glaciers has an important role in the biogeochemistry of glacial ecosystems. This study focuses on DOC from glaciers of the southeastern Tibetan Plateau, where glaciers are experiencing rapid shrinkage. We
Externí odkaz:
https://doaj.org/article/4e9545bca8c748d7a7f52aad6f206e22
Publikováno v:
PLoS ONE, Vol 13, Iss 7, p e0201181 (2018)
In plant breeding, one of the main purpose of multi-environment trial (MET) is to assess the intensity of genotype-by-environment (G×E) interactions in order to select high-performing lines of each environment. Most models to analyze such MET data c
Externí odkaz:
https://doaj.org/article/6ff9640035d9493d8123389920864a29
Autor:
Bin Qu, Mika Sillanpää, Chaoliu Li, Shichang Kang, Aron Stubbins, Fangping Yan, Kelly Sue Aho, Feng Zhou, Peter A Raymond
Publikováno v:
PLoS ONE, Vol 12, Iss 5, p e0178166 (2017)
The role played by river networks in regional and global carbon cycle is receiving increasing attention. Despite the potential of radiocarbon measurements (14C) to elucidate sources and cycling of different riverine carbon pools, there remain large r
Externí odkaz:
https://doaj.org/article/f73d9e1b7712444995878ef40453ada0
Autor:
Bin Qu, Mika Sillanpää, Chaoliu Li, Shichang Kang, Aron Stubbins, Fangping Yan, Kelly Sue Aho, Feng Zhou, Peter A Raymond
Publikováno v:
PLoS ONE, Vol 12, Iss 7, p e0181295 (2017)
[This corrects the article DOI: 10.1371/journal.pone.0178166.].
Externí odkaz:
https://doaj.org/article/6c7244ad1feb4703b1a0407d70aa2290
Autor:
Yulan Zhang, Shichang Kang, Qianggong Zhang, Tanguang Gao, Junming Guo, Bjorn Grigholm, Jie Huang, Mika Sillanpää, Xiaofei Li, Wentao Du, Yang Li, Xinlei Ge
Publikováno v:
PLoS ONE, Vol 11, Iss 5, p e0155232 (2016)
Glaciochemistry can provide important information about climatic change and environmental conditions, as well as for testing regional and global atmospheric trace transport models. In this study, δ18O and selected chemical constituents records in sn
Externí odkaz:
https://doaj.org/article/2b2b6e699fa3475b8a9fed04809ba16a
Autor:
Markku Kuismin, Mikko J Sillanpää
Publikováno v:
PLoS ONE, Vol 11, Iss 2, p e0148171 (2016)
A conjugate Wishart prior is used to present a simple and rapid procedure for computing the analytic posterior (mode and uncertainty) of the precision matrix elements of a Gaussian distribution. An interpretation of covariance estimates in terms of e
Externí odkaz:
https://doaj.org/article/0ccceffefdb14559935a0b4a12871467
Publikováno v:
PLoS ONE, Vol 10, Iss 4, p e0120017 (2015)
BACKGROUND:LASSO is a penalized regression method that facilitates model fitting in situations where there are as many, or even more explanatory variables than observations, and only a few variables are relevant in explaining the data. We focus on th
Externí odkaz:
https://doaj.org/article/691884ea84414fa4925484d8af984d3b