Results 51 to 60 of about 6,264,854 (417)
A Deep Neural Network/Meshfree Method for Solving Dynamic Two-phase Interface Problems [PDF]
arXiv, 2022 In this paper, a meshfree method using the deep neural network (DNN) approach is developed for solving two kinds of dynamic two-phase interface problems governed by different dynamic partial differential equations on either side of the stationary interface with the jump and high-contrast coefficients. The first type of two-phase interface problem to be
arxiv
Reminder Objects in the Connected Home of the Future and Beyond
Technologies, 2017 This paper presents best practices on how to design reminder objects. Reminder objects are digitally augmented everyday objects that break down and communicate complex information via sensory input and output.
Martina Uhlig, Henrik Rieß, Peter Klein
doaj +1 more source
Multiple sclerosis clinical decision support system based on projection to reference datasets
Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1863-1873, December 2022., 2022 Abstract Objective Multiple sclerosis (MS) is a multifactorial disease with increasingly complicated management. Our objective is to use on‐demand computational power to address the challenges of dynamically managing MS. Methods A phase 3 clinical trial data (NCT00906399) were used to contextualize the medication efficacy of peg‐interferon beta‐1a vs ...
Chadia Ed‐driouch +13 more
wiley +1 more source
, 2008 As School of Information Sciences faculty and staff prepare for our sixth accreditation by the American Library Association’s Committee on Accreditation (COA), the school has had the opportunity to reflect on a smorgasbord of changes.
School of Information Sciences
core +4 more sources
Comparative In Vitro Immune Stimulation Analysis of Primary Human B Cells and B Cell Lines
Journal of Immunology Research, 2016 B cell specific immunomodulatory drugs still remain an unmet medical need. Utilisation of validated simplified in vitro models would allow readily obtaining new insights in the complexity of B cell regulation. For this purpose we investigated which human
Kristien Van Belle +5 more
doaj +1 more source
An interface to an interface to an interface
, 2020 The paper relates some experiences from a recent production of orchestrating Conlon Nancarrow Piano Studies for performance on Pipe Organ. Reflections that surfaced during this work concerned the layered nature of interfaces, automation (and thus allusions to the different conceptions of artificial intelligence), and leaky abstractons.
openaire +2 more sources
FEBS Letters, EarlyView.In vivo IL‐10 produced by tissue‐resident tolDC is involved in maintaining/inducing tolerance. Depending on the agent used for ex vivo tolDC generation, cells acquire common features but prime T cells towards anergy, FOXP3+ Tregs, or Tr1 cells according to the levels of IL‐10 produced. Ex vivo‐induced tolDC were administered to patients to re‐establish/
Konstantina Morali +3 more
wiley +1 more source
Understanding trends in electrochemical carbon dioxide reduction rates
Nature Communications, 2017 Identifying trends in electrocatalytic activity for carbon dioxide reduction can help with catalyst design, but are difficult to define. Here, the authors develop an electrochemical kinetic model of the process, identifying scaling relations relating ...
Xinyan Liu +5 more
doaj +1 more source
FEBS Letters, EarlyView.Metabolic dysfunction‐associated steatotic liver disease (MASLD) affects nearly one‐third of the global population and poses a significant risk of progression to cirrhosis or liver cancer. Here, we discuss the roles of hepatic dendritic cell subtypes in MASLD, highlighting their distinct contributions to disease initiation and progression, and their ...
Camilla Klaimi +3 more
wiley +1 more source
Data‐driven performance metrics for neural network learning
International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri +2 more
wiley +1 more source