Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Daniel Egger"'
Publikováno v:
Sensors, Vol 22, Iss 21, p 8347 (2022)
Advances in neural networks have garnered growing interest in applications of machine vision in livestock management, but simpler landmark-based approaches suitable for small, early stage exploratory studies still represent a critical stepping stone
Externí odkaz:
https://doaj.org/article/f522e4c5fb5a4d90a8036a6c2fd22226
Publikováno v:
Microbial Biotechnology, Vol 10, Iss 6, Pp 1365-1375 (2017)
Summary Recently, syngas has gained significant interest as renewable and sustainable feedstock, in particular for the biotechnological production of poly([R]‐3‐hydroxybutyrate) (PHB). PHB is a biodegradable, biocompatible polyester produced by s
Externí odkaz:
https://doaj.org/article/8c411070f6c24408b832a34f7058de0d
Autor:
Oznur Mete, Eric Chevallay, Marta Csatari, Anne Dabrowski, Steffen Doebert, Daniel Egger, Valentine Fedosseev, Maja Olvegaard, Massimo Petrarca
Publikováno v:
Physical Review Special Topics. Accelerators and Beams, Vol 15, Iss 2, p 022803 (2012)
A photoinjector, PHIN (PHotoINjector), has been realized at CERN by a joint effort of several institutes within the European Coordinated Accelerator Research in Europe program. The test facility has been installed and commissioned at CERN with the ai
Externí odkaz:
https://doaj.org/article/fd3e761c537143eeb3824cd157b149f4
Publikováno v:
Expert Review of Ophthalmology. 17:303-306
Autor:
Juergen Grafeneder, Nina Buchtele, Daniel Egger, Michael Schwameis, Cihan Ay, Bernd Jilma, Christian Schoergenhofer
Publikováno v:
Thrombosis and Haemostasis. 122:1980-1987
Background Alongside its original diagnostic intention, the International Society on Thrombosis and Haemostasis' (ISTH) disseminated intravascular coagulation (DIC) score predicts mortality in various patient groups. Objectives We investigated whethe
Autor:
Richard B.S. Roden, Herbert A. Fritsche, Brad Stone, Brad H. Nelson, James Geyer, Daniel Egger, Faria Eksir, Deyrick Dean, Douglas D. Taylor, Al Erkanli
Biomarkers for early detection of epithelial ovarian cancer (EOC) are urgently needed. Patients can generate antibodies to tumor-associated antigens (TAAs). We tested multiplex detection of antibodies to candidate ovarian TAAs and statistical modelin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d46061867d1728bb9fed6cc0a5557325
https://doi.org/10.1158/0008-5472.c.6495203
https://doi.org/10.1158/0008-5472.c.6495203
Autor:
Richard B.S. Roden, Herbert A. Fritsche, Brad Stone, Brad H. Nelson, James Geyer, Daniel Egger, Faria Eksir, Deyrick Dean, Douglas D. Taylor, Al Erkanli
Supplementary Methods from Application of Bayesian Modeling of Autologous Antibody Responses against Ovarian Tumor-Associated Antigens to Cancer Detection
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ab61ed765c520fcba0a308ff40c2f54
https://doi.org/10.1158/0008-5472.22366568
https://doi.org/10.1158/0008-5472.22366568
Publikováno v:
Communications Chemistry, Vol 7, Iss 1, Pp 1-9 (2024)
Abstract Enzymes are natures’ catalysts and will have a lasting impact on (organic) synthesis as they possess unchallenged regio- and stereo selectivity. On the downside, this high selectivity limits enzymes’ substrate range and hampers their uni
Externí odkaz:
https://doaj.org/article/a5acadaba4e84e09b2318c64c4168dfa
Publikováno v:
Risk Analysis
The present study investigates U.S. Department of Agriculture inspection records in the Agricultural Quarantine Activity System database to estimate the probability of quarantine pests on propagative plant materials imported from various countries of
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 1, Pp 3973-3986 (2023)
Earth system science is an interdisciplinary effort to understand the fundamentals and interactions of environmental processes. Interdisciplinary research is challenging since it demands the integration of scientific schemes and practices from differ
Externí odkaz:
https://doaj.org/article/2fb9d1d0f5e04f9ca25cb55086488df0