Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Konstantinos Stavridis"'
Autor:
Stavroula L. Kastora, Grigoria Gkova, Konstantinos Stavridis, Neerujah Balachandren, Athanasios Kastoras, Andreas Karakatsanis, Dimitrios Mavrelos
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-25 (2024)
Abstract Despite the proven superiority of various luteal phase support protocols (LPS) over placebo in view of improved pregnancy rates in fresh cycles of IVF (in vitro fertilization) and ICSI (intracytoplasmic sperm injection) cycles, there is ongo
Externí odkaz:
https://doaj.org/article/33cf6c38e70e4f5c9e295ca7f9547b84
Publikováno v:
Water Science and Technology, Vol 89, Iss 2, Pp 347-356 (2024)
Tire wear microrubber particles (TWMP) are a major source of environmental contamination. Degradation of TWMP is slow and leachates contain toxic constituents including heavy metals, polycyclic aromatic hydrocarbons (PAHs) and organic additives. Few
Externí odkaz:
https://doaj.org/article/6e3711d247914661aca442a83b4ed621
Autor:
Michael K. Konstantinidis, Argyrios Ioannidis, Panteleimon Vassiliu, Nikolaos Arkadopoulos, Ioannis S. Papanikolaou, Konstantinos Stavridis, Gaetano Gallo, Dimitrios Karagiannis, Manish Chand, Steven D. Wexner, Konstantinos Konstantinidis
Publikováno v:
Frontiers in Surgery, Vol 10 (2023)
AimTo describe the currently available evidence regarding the efficacy and safety of preoperative tumor marking using indocyanine green (ICG) prior to laparoscopic or robotic colorectal resections.MethodsA systematic search for relevant studies was c
Externí odkaz:
https://doaj.org/article/5e64947701c74c1a9addcf48a1c2234d
Autor:
Konstantinos Stavridis, Ioannis Liosis, Michael K. Konstantinidis, Georgios Kondylis, Argyrios Ioannidis
Publikováno v:
Frontiers in Surgery, Vol 9 (2022)
IntroductionSince the beginning of the COVID-19 pandemic, many patients with clinically acute presentations have been approached differently. The fear of viral transmission along with the short period of study made patients delay their hospital visit
Externí odkaz:
https://doaj.org/article/729c216c3eb24eb0b9168da9ba32fdf6
Publikováno v:
SAGE Open Medical Case Reports, Vol 10 (2022)
Facioscapulohumeral muscular dystrophy is a muscular dystrophy affecting all ages, primarily people in the second decade. The disease is initially presented with face, shoulder girdle, and upper arm involvement, followed by lower extremity muscle wea
Externí odkaz:
https://doaj.org/article/56dd375c73da42cb8e428610fc9881cc
Autor:
Konstantinos Stavridis, Stavroula L. Kastora, Olga Triantafyllidou, Dimitrios Mavrelos, Nikolaos Vlahos
Publikováno v:
Fertility and Sterility. 119:954-963
Autor:
Konstantinos Stavridis, Panos Antsaklis, Marianna Theodora, Konstantinos Tasias, Georgios Daskalakis
Publikováno v:
The Journal of Maternal-Fetal & Neonatal Medicine. 35:8856-8862
The primary aim of this review is to estimate the prevalence of ARSA both in euploid fetuses as well as in fetuses with Down Syndrome. Secondary objectives were to estimate the association of ARSA with cardiac anomalies and chromosomal defects, espec
Publikováno v:
Journal of Clinical Medicine. 11:7227
Humans interfere with a variety of endocrine disruptors on a daily basis, which may result in adverse health effects. Among them, Bisphenol-A (BPA) is the most debated endocrine disruptor, despite being widely studied, regarding its effects on fertil
Autor:
Konstantinos Stavridis, Georgios Th. Papadopoulos, Athanasios Psaltis, Petros Daras, Anastasios Dimou
Publikováno v:
2019 27th European Signal Processing Conference (EUSIPCO)
EUSIPCO
EUSIPCO
The current work investigates the problem of objectlevel relevance assessment prediction, taking into account the user’s captured gaze signal (behaviour) and following the Deep Learning (DL) paradigm. Human gaze, as a sub-conscious response, is inf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe895f234557fcf093c10881258fe3d2
https://zenodo.org/record/3560515
https://zenodo.org/record/3560515
Publikováno v:
SEEDA-CECNSM
Deep learning (DL) is widely used in text mining applications. The input of DL consists of text words represented as dense vectors, named word embeddings. These word embeddings have been previously trained using datasets of large text corpus. Issues