Results 101 to 110 of about 9,577,753 (319)
Multiscale Analysis of Spreading in a Large Communication Network [PDF]
In temporal networks, both the topology of the underlying network and the timings of interaction events can be crucial in determining how some dynamic process mediated by the network unfolds.
Anderson R M +11 more
core +1 more source
Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary +1 more
wiley +1 more source
Exploring Cultural Evolution Through Modular Dynamics in Temporal Hashtag Networks
Social media platforms offer unprecedented opportunities to study cultural evolution by analyzing digital traces. This study presents a methodological framework for analyzing the temporal dynamics of cultural modules in hashtag co-occurrence networks. We
Yasuhiro Hashimoto +2 more
doaj +1 more source
Gaussian Embedding of Temporal Networks
Representing the nodes of continuous-time temporal graphs in a low-dimensional latent space has wide-ranging applications, from prediction to visualization.
Raphael Romero +4 more
doaj +1 more source
Convolutional Drift Networks for Video Classification
Analyzing spatio-temporal data like video is a challenging task that requires processing visual and temporal information effectively. Convolutional Neural Networks have shown promise as baseline fixed feature extractors through transfer learning, a ...
Graham, Dillon +3 more
core +1 more source
Radiotherapy (RT) response depends on the DNA repair capacity of tumor and host cells. We show that circulating tumor cell (CTC) counts and apoptosis rates before and after RT predict treatment response and outcome, which can be accessed via easily accessible liquid biopsy approaches. Created in BioRender. Wikman, H.
Yvonne Goy +10 more
wiley +1 more source
Foreword: Time and Temporality as Categories of Connectedness
Time and temporality need to be considered essential concepts when studying networks of the past. Their implementation, however, introduces varying forms of complexity, which provides challenges to navigate when operationalized as attributes of ...
Cindarella Petz +2 more
doaj +1 more source
Gathering data in an energy efficient manner in wireless sensor networks is an important design challenge. In wireless sensor networks, the readings of sensors always exhibit intra-temporal and inter-spatial correlations.
Chen, Lei, Xiong, Jiping, Zhao, Jian
core +1 more source
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks [PDF]
In many robotics and VR/AR applications, 3D-videos are readily-available input sources (a sequence of depth images, or LIDAR scans). However, in many cases, the 3D-videos are processed frame-by-frame either through 2D convnets or 3D perception algorithms.
C. Choy, JunYoung Gwak, S. Savarese
semanticscholar +1 more source
Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley +1 more source

