Zobrazeno 1 - 10
of 147 757
pro vyhledávání: '"Marvin So"'
Autor:
Matti Gärtner, Anne Weigand, Marvin Sören Meiering, David Weigner, Luisa Carstens, Christian Keicher, Rita Hertrampf, Christian Beckmann, Maarten Mennes, Andreas Wunder, Simone Grimm
Publikováno v:
Translational Psychiatry, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract Neuroimaging studies have identified the anterior cingulate cortex (ACC) as one of the major targets of ketamine in the human brain, which may be related to ketamine’s antidepressant (AD) mechanisms of action. However, due to different met
Externí odkaz:
https://doaj.org/article/9d730bc7a0594ef2a397d7d01d502c30
Publikováno v:
Mental Health Science, Vol 1, Iss 4, Pp 261-269 (2023)
Abstract Although depression is common in primary care, challenges to timely intervention exist, particularly for communities of color and lower socioeconomic status. Our objective was to understand barriers and facilitators to mental healthcare acce
Externí odkaz:
https://doaj.org/article/e98f7dd8702b46fdbcdfa86b9db63759
Autor:
Marvin So, Hailie Jadoo, Jennifer Stong, Kristen C. Klemenhagen, Ann M. Philbrick, Kathryn Freeman
Publikováno v:
Journal of Primary Care & Community Health, Vol 15 (2024)
Objective: The objective of this pilot study was to explore the impact of interpreter format (virtual vs in person) on clinical outcomes in patients with non-English language preference (NELP) and type 2 diabetes mellitus (T2DM) in a primary care set
Externí odkaz:
https://doaj.org/article/19db3a276f4546ea9d8520791cdd7c08
In offline reinforcement learning, a policy is learned using a static dataset in the absence of costly feedback from the environment. In contrast to the online setting, only using static datasets poses additional challenges, such as policies generati
Externí odkaz:
http://arxiv.org/abs/2411.04562
Autor:
Gerling, Kathrin, Meiners, Anna-Lena, Schumm, Louisa, Rixen, Jan, Wolf, Marvin, Yildiz, Zeynep, Alexandrovsky, Dmitry, Opp, Merlin
Creating accessible Virtual Reality (VR) is an ongoing concern in the Human-Computer Interaction (HCI) research community. However, there is little reflection on how accessibility should be conceptualized in the context of an experiential technology.
Externí odkaz:
http://arxiv.org/abs/2411.04489
In this work, it is proven the semiglobal exponential stabilization to time-dependent trajectories of the nonisothermal Cahn-Hilliard equations. In the model, the input controls are given by explicit feedback operators that involve appropriate obliqu
Externí odkaz:
http://arxiv.org/abs/2411.04018
We present a unified quantum-classical framework for addressing NP-complete constrained combinatorial optimization problems, generalizing the recently proposed Quantum Conic Programming (QCP) approach. Accordingly, it inherits many favorable properti
Externí odkaz:
http://arxiv.org/abs/2411.00435
To alleviate the suboptimal performance of belief propagation (BP) decoding of short low-density parity-check (LDPC) codes, a plethora of improved decoding algorithms has been proposed over the last two decades. Many of these methods can be described
Externí odkaz:
http://arxiv.org/abs/2410.23980
In this paper, we propose a data-driven algorithm to design rate- and length-flexible polar codes. While the algorithm is very general, a particularly appealing use case is the design of codes for automorphism ensemble decoding (AED), a promising dec
Externí odkaz:
http://arxiv.org/abs/2410.23885
Autor:
Wozniak, Maciej K., Govindarajan, Hariprasath, Klingner, Marvin, Maurice, Camille, Kiran, B Ravi, Yogamani, Senthil
Recent self-supervised clustering-based pre-training techniques like DINO and Cribo have shown impressive results for downstream detection and segmentation tasks. However, real-world applications such as autonomous driving face challenges with imbala
Externí odkaz:
http://arxiv.org/abs/2410.23085