Zobrazeno 1 - 10
of 10 782
pro vyhledávání: '"Muresan AN"'
Autor:
Muresan Andrada A., Rusu Adriana, Pop Raluca M., Vonica Camelia L., Hancu Nicolae, Bocsan Corina, Socaciu Carmen, Bala Cornelia G., Roman Gabriela
Publikováno v:
Romanian Journal of Laboratory Medicine, Vol 29, Iss 4, Pp 439-451 (2021)
Introduction: Although obesity and its biomarkers have been intensively studied, little is known about the metabolomic signature of visceral adiposity independent of insulin resistance that frequently accompanies increased levels of visceral fat. Our
Externí odkaz:
https://doaj.org/article/9951f97b08a8446eaf3d0913c29faf7b
The rich diversity of multi-planetary systems and their architectures is greatly contrasted by the uniformity exhibited within many of these systems. Previous studies have shown that compact Kepler systems tend to exhibit a peas-in-a-pod architecture
Externí odkaz:
http://arxiv.org/abs/2410.23399
Autor:
Alshomary, Milad, Ri, Narutatsu, Apidianaki, Marianna, Patel, Ajay, Muresan, Smaranda, McKeown, Kathleen
Recent state-of-the-art authorship attribution methods learn authorship representations of texts in a latent, non-interpretable space, hindering their usability in real-world applications. Our work proposes a novel approach to interpreting these lear
Externí odkaz:
http://arxiv.org/abs/2409.07072
Autor:
Vonica Camelia Larisa, Farcas Anca Daniela, Roman Gabriela, Muresan Andrada Alina, Fodor Adriana, Cernea Simona, Georgescu Carmen Emanuela
Publikováno v:
Romanian Journal of Laboratory Medicine, Vol 28, Iss 3, Pp 241-255 (2020)
Background and objectives: Polycystic ovary syndrome (PCOS) displays a phenotype-dependent cardio-metabolic risk. By performing a systematic search of the literature, we aimed to summarize metabolomic signatures associated with obesity in PCOS women.
Externí odkaz:
https://doaj.org/article/c273107fd36d454da8db926defee6775
Explanations form the foundation of knowledge sharing and build upon communication principles, social dynamics, and learning theories. We focus specifically on conversational approaches for explanations because the context is highly adaptive and inte
Externí odkaz:
http://arxiv.org/abs/2406.18512
Autor:
Samadarshi, Prisha, Mustafa, Mariam, Kulkarni, Anushka, Rothkopf, Raven, Chakrabarty, Tuhin, Muresan, Smaranda
The New York Times Connections game has emerged as a popular and challenging pursuit for word puzzle enthusiasts. We collect 438 Connections games to evaluate the performance of state-of-the-art large language models (LLMs) against expert and novice
Externí odkaz:
http://arxiv.org/abs/2406.11012
Large Vision-Language Models (VLMs) have demonstrated strong capabilities in tasks requiring a fine-grained understanding of literal meaning in images and text, such as visual question-answering or visual entailment. However, there has been little ex
Externí odkaz:
http://arxiv.org/abs/2405.01474
Digital education has gained popularity in the last decade, especially after the COVID-19 pandemic. With the improving capabilities of large language models to reason and communicate with users, envisioning intelligent tutoring systems (ITSs) that ca
Externí odkaz:
http://arxiv.org/abs/2404.04728
Autor:
Cornel Dragos Cheregi, Teodora Gabriela Alexescu, Andrei Vasile Pascalau, Ovidiu Laurean Pop, Calin Magheru, Ioana Maria Muresan, Nicoleta Ramona Suciu, Maur Sebastian Horgos, Mihai Stefan Muresan
Publikováno v:
Journal of Mind and Medical Sciences, Vol 11, Iss 2, Pp 496-504 (2024)
Sigmoid diverticulitis is a common disease characterized by a well-standardized diagnostic approach and treatment. Colorectal cancer is the third most common malignancy worldwide, irrespective of gender. In 2020, CRC global-related mortality rate was
Externí odkaz:
https://doaj.org/article/d55d038e6d564d89b0d57f0777bd526b
Recognizing fallacies is crucial for ensuring the quality and validity of arguments across various domains. However, computational fallacy recognition faces challenges due to the diverse genres, domains, and types of fallacies found in datasets. This
Externí odkaz:
http://arxiv.org/abs/2311.09552