Results 41 to 50 of about 4,294,534 (298)
Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley +1 more source
Representing and Reasoning over Topological Relations in OWL [PDF]
Representing topological information for the Semantic Web often involves qualitative defined natural language terms such as "Into" or "Overlapping". This can be the case when exact coordinates of spatial regions are not available, they are incomplete or
Tachmazidis, Ilias +2 more
core +3 more sources
Optimizing multi-hop question answering reasoning through time-aware path construction
Multi-hop question answering (MHQA) requires models to perform reasoning across multiple text segments to answer complex questions. However, existing methods often overlook temporal dependencies between facts during reasoning path construction, resulting
Xue Yang +4 more
doaj +1 more source
From mice to humans—divergent strategies for intestinal homeostasis and regeneration
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source
Modelling causal reasoning [PDF]
PhDAlthough human causal reasoning is widely acknowledged as an object of scientific enquiry, there is little consensus on an appropriate measure of progress.
Brandano, Sergio
core +4 more sources
TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering [PDF]
Vision and language understanding has emerged as a subject undergoing intense study in Artificial Intelligence. Among many tasks in this line of research, visual question answering (VQA) has been one of the most successful ones, where the goal is to ...
Y. Jang +4 more
semanticscholar +1 more source
Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning
Temporal Knowledge graph (TKG) reasoning aims to predict missing facts based on historical TKG data. Most of the existing methods are incapable of explicitly modeling the long-term time dependencies from history and neglect the adaptive integration of ...
Mengqi Zhang +4 more
semanticscholar +1 more source
Modelling stem cell differentiation related processes—A practical overview for biologists
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
The Calculus of Temporal Influence [PDF]
We present the Calculus of Temporal Influence, a simple logical calculus that allows reasoning about the behaviour of real-valued functions over time by making assertions that bound their values or the values of their derivatives.
Kastaun, Marit +3 more
core +1 more source
Conceptual Neighborhood Graphs of Discrete Time Intervals
Temporal reasoning is an important part of the field of time geography and spatio-temporal data science. Recent advances in qualitative temporal reasoning have developed a set of 74 relations that apply between discretized time intervals of at least two ...
Matthew P. Dube, Brendan P. Hall
doaj +1 more source

