Zobrazeno 1 - 10
of 4 892
pro vyhledávání: '"Alver, A."'
Interpreting artificial neural networks to detect genome-wide association signals for complex traits
Investigating the genetic architecture of complex diseases is challenging due to the highly polygenic and interactive landscape of genetic and environmental factors. Although genome-wide association studies (GWAS) have identified thousands of variant
Externí odkaz:
http://arxiv.org/abs/2407.18811
In neuroscience, one of the key behavioral tests for determining whether a subject of study exhibits model-based behavior is to study its adaptiveness to local changes in the environment. In reinforcement learning, however, recent studies have shown
Externí odkaz:
http://arxiv.org/abs/2405.16899
Inspired by human conscious planning, we propose Skipper, a model-based reinforcement learning framework utilizing spatio-temporal abstractions to generalize better in novel situations. It automatically decomposes the given task into smaller, more ma
Externí odkaz:
http://arxiv.org/abs/2310.00229
Publikováno v:
Haseki Tıp Bülteni, Vol 62, Iss 3, Pp 141-148 (2024)
Aim: In this study, we aimed to investigate the role of malondialdehyde (MDA) in the pathophysiology of periodontitis by examining serum and salivary MDA levels in patients with advanced periodontitis and healthy individuals according to the periodon
Externí odkaz:
https://doaj.org/article/bb8175c379534094bbdb7a14a802c6ce
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract Organ on Chip platforms hold significant promise as alternatives to animal models or traditional cell cultures, both of which poorly recapitulate human pathophysiology and human level responses. Within the last 15 years, we have witnessed se
Externí odkaz:
https://doaj.org/article/db12394833ef4676ae21813fe50425da
Autor:
Alver, Safa, Precup, Doina
Learning models of the environment from pure interaction is often considered an essential component of building lifelong reinforcement learning agents. However, the common practice in model-based reinforcement learning is to learn models that model e
Externí odkaz:
http://arxiv.org/abs/2301.10119
Autor:
Özlem Saraç Atagün, Esra Baltacıoğlu, Ahmet Alver, Fulya Balaban Yücesan, Pınar Yuva, Malike Aslan Kehribar, Güven Aydın
Publikováno v:
Northwestern Medical Journal, Vol 4, Iss 4 (2024)
Aim: This study aimed to assess the effects of smoking on systemic and local oxidative stress markers in patients with periodontitis. Methods: A total of 72 patients with periodontitis [38 smokers (S +P+), 34 non-smokers (S-P+)] and 54 periodontall
Externí odkaz:
https://doaj.org/article/e6ef47b07e9b44b88eb416a425a40ccb
Autor:
Mohammed S. Abusamaan, Jeromie Ballreich, Adrian Dobs, Brian Kane, Nisa Maruthur, John McGready, Kristin Riekert, Amal A. Wanigatunga, Mary Alderfer, Defne Alver, Benjamin Lalani, Benjamin Ringham, Fatmata Vandi, Daniel Zade, Nestoras N. Mathioudakis
Publikováno v:
Trials, Vol 25, Iss 1, Pp 1-19 (2024)
Abstract Background Prediabetes is a highly prevalent condition that heralds an increased risk of progression to type 2 diabetes, along with associated microvascular and macrovascular complications. The Diabetes Prevention Program (DPP) is an establi
Externí odkaz:
https://doaj.org/article/ba6137664d914364b36f632ec45ebf2a
Publikováno v:
BMC Anesthesiology, Vol 24, Iss 1, Pp 1-5 (2024)
Abstract Serratus posterior intercostal plane block (SPSIPB) is a novel periparavertebral block. It provides anterolateral posterior chest wall analgesia. It is an interfascial plane block, performed under ultrasound guidance, and the visualization o
Externí odkaz:
https://doaj.org/article/65482b64d1b84ee284bebd0c530d34c8
Autor:
Alver, Safa, Precup, Doina
In model-based reinforcement learning (RL), an agent can leverage a learned model to improve its way of behaving in different ways. Two of the prevalent ways to do this are through decision-time and background planning methods. In this study, we are
Externí odkaz:
http://arxiv.org/abs/2206.08442