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pro vyhledávání: '"61"'
Autor:
Marie Pierre Mathey, Fathi Khomsi, Jean Bouquet de Jolinière, Etienne Monnard, Anis Feki, Francois Pugin, A. L. Major, M. Fiche, Daniel Sandmeier
Publikováno v:
Frontiers in Surgery
Frontiers in Surgery, Vol 6 (2019)
Frontiers in surgery, vol. 6, pp. 14
Frontiers in Surgery, Vol 6 (2019)
Frontiers in surgery, vol. 6, pp. 14
Endometriosis is a common, hormone-dependent gynecologic disease. Undiagnosed in large proportion of women, managing therapies depend on the impact of quality of life and includes hormonal treatment and pelvic surgery. Less likely endometriosis can o
Publikováno v:
Frontiers in Neurology. 10
Autor:
Takehiro Noda, Shogo Kobayashi, Kunihito Gotoh, Yuki Morooka, Hidetoshi Eguchi, Wen Fang, Koji Umeshita, Momoko Noda, Yuichiro Doki
Publikováno v:
Transplant International. 34:2238-2246
We retrospectively reviewed 220 living liver donors, with a focus on the development of postoperative fatty liver. Data regarding demographics, comorbidities, imaging tests, operations and biopsies were obtained from medical records. We used unenhanc
Publikováno v:
Frontiers in Radiology. 1
Background: Head computed tomography (head CT) examinations conducted at emergency departments (EDs) for non-trauma patients are expensive and expose patients to ionizing radiation. Identification of symptoms likely to yield abnormal head CT scans ca
Publikováno v:
Frontiers in Neuroscience
Frontiers in Neuroscience, Vol 15 (2021)
Frontiers in Neuroscience, Vol 15 (2021)
Objective: This study aimed to research the effect of transcranial direct current stimulation (tDCS) and functional electrical stimulation (FES) on the lower limb function of post-convalescent stroke patients.Methods: A total of 122 patients in the s
Autor:
Yi-Rong Zheng, Yu-Qing Lei, Jian-Feng Liu, Hong-Lin Wu, Ning Xu, Shu-Ting Huang, Hua Cao, Qiang Chen
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 8 (2021)
Frontiers in Cardiovascular Medicine
Frontiers in Cardiovascular Medicine
Background: This study aimed to evaluate the effects of pulmonary surfactant (PS) combined with high-frequency oscillatory ventilation (HFOV) or conventional mechanical ventilation (CMV) in infants with acute respiratory distress syndrome (ARDS) afte
Autor:
Satoshi Kuwabara, Keisuke Shimizu, Masato Asahina, Tomoyuki Uchiyama, Weibing Liu, Shigeki Hirano, Tatsuya Yamamoto, Yoshinori Higuchi, Yoshitaka Yamanaka
Publikováno v:
Frontiers in Neurology, Vol 12 (2021)
Frontiers in Neurology
Frontiers in Neurology
Background: Indications for subthalamic nucleus deep brain stimulation (STN-DBS) surgery are determined basically by preoperative motor function; however, postoperative quality of life (QOL) is not necessarily associated with improvements in motor sy
Publikováno v:
Frontiers in Endocrinology
Frontiers in Endocrinology, Vol 11 (2021)
Siersbæk, J, Larsen, A R, Nybo, M & Christesen, H T 2021, ' A Sensitive Plasma Insulin Immunoassay to Establish the Diagnosis of Congenital Hyperinsulinism ', Frontiers in Endocrinology, vol. 11, 614993 . https://doi.org/10.3389/fendo.2020.614993
Frontiers in Endocrinology, Vol 11 (2021)
Siersbæk, J, Larsen, A R, Nybo, M & Christesen, H T 2021, ' A Sensitive Plasma Insulin Immunoassay to Establish the Diagnosis of Congenital Hyperinsulinism ', Frontiers in Endocrinology, vol. 11, 614993 . https://doi.org/10.3389/fendo.2020.614993
BackgroundThe diagnosis of congenital hyperinsulinism (CHI) may be hampered by a plasma (p-) insulin detection limit of 12–18 pmol/L (2–3 mU/L).ObjectiveTo evaluate the diagnostic performance of a sensitive insulin immunoassay and to find the opt
Autor:
Zewei Wang, Huanjing Sheng, Shujuan Zheng, Niu Qinya, Xianming Shi, Baowei Yang, Hao Li, Wei Li, Chunlei Shi
Publikováno v:
Frontiers in Microbiology, Vol 11 (2020)
Frontiers in Microbiology
Frontiers in Microbiology
Poultry products such as eggs provide essential nutrients to the human body and thus play vital roles in the human food network. Salmonella is one of the most notorious foodborne pathogens and has been found to be prevalent in eggs. To better underst
Publikováno v:
Aydin, R.C.; Braeu, F.A.; Cyron, C.J.: General multi-fidelity framework for training artificial neural networks with computational models. In: Frontiers in Materials. Vol. 6 (2019) 61. (DOI: /10.3389/fmats.2019.00061)
Frontiers in Materials, Vol 6 (2019)
Frontiers in Materials (6): 61 (2019-04-17)
Frontiers in Materials, Vol 6 (2019)
Frontiers in Materials (6): 61 (2019-04-17)
Training of artificial neural networks (ANNs) relies on the availability of training data. If ANNs have to be trained to predict or control the behavior of complex physical systems, often not enough real-word training data are available, for example,