Results 111 to 120 of about 9,577,753 (319)
AppliedMathWe propose the Clustered Link-Prediction SEIRS model with Temporal Node Activation (CLP-SEIRS-T), a novel epidemiological framework that integrates community structure, link prediction, and temporal activation schedules to simulate malware propagation in
Guiqiang Chen, Qian Shi, Yijun Liu
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Short-Term Memory in Orthogonal Neural Networks
, 2004 We study the ability of linear recurrent networks obeying discrete time dynamics to store long temporal sequences that are retrievable from the instantaneous state of the network.
Daniel D. Lee +5 more
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FEBS Open Bio, EarlyView.Mouse pre‐implantation development involves a transition from totipotency to pluripotency. Integrating transcriptomics, epigenetic profiling, low‐input proteomics and functional assays, we show that eight‐cell embryos retain residual totipotency features, whereas cytoskeletal remodeling regulated by the ubiquitin‐proteasome system drives progression ...
Wanqiong Li +8 more
wiley +1 more source
Play-by-Play Network Analysis in Football
Frontiers in Psychology, 2019 This study identifies dominant and intermediary players in football by applying a play-by-play social network analysis (SNA) on 70 professional matches from the 1. and 2. German Bundesliga during the 2017/2018 season. SNA provides a quantification of the
Florian Korte +3 more
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, 2015 8 pages, 3 figures, presented at the 2004 conference on Neural Information Processing Systems. in Advances in Neural Information Processing Systems 17 (proceedings of the 2004 conference), Saul, L. K., Weiss, Y., and Bottou, L. (Eds)
Sutton, Richard S., Tanner, Brian
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FEBS Open Bio, EarlyView.Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
Temporal overdrive recurrent neural network [PDF]
2017 International Joint Conference on Neural Networks (IJCNN), 2017 In this work we present a novel recurrent neural network architecture designed to model systems characterized by multiple characteristic timescales in their dynamics. The proposed network is composed by several recurrent groups of neurons that are trained to separately adapt to each timescale, in order to improve the system identification process.
Bianchi, Filippo Maria +3 more
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FEBS Open Bio, EarlyView.A novel signature integrating genome‐wide analysis with clinical factors predicts recurrence in stage II colorectal cancer and enables a new risk stratification to guide postoperative adjuvant chemotherapy. Clinical risk stratification for postoperative recurrence in patients with pathological stage II (pStage II) colorectal cancer (CRC) is essential ...
Mayuko Otomo +7 more
wiley +1 more source
Time Series Forecasting Based on Temporal Networks Evolution and Dynamic Constraints
IEEE AccessTime series forecasting holds significant application value in financial market analysis, biological prediction, and other domains. Analyzing time series from a network perspective offers novel insights for forecasting.
Yunlong Peng, Han Li, Xu Han
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Mutant NPM1 in Acute Myeloid Leukemia Initiation and Maintenance
Aging and Cancer, EarlyView.NPM1 mutations drive acute myeloid leukemia by acting as neomorphic transcriptional regulators that cooperate with Menin–MLL and XPO1 to sustain HOX/MEIS1 expression and block differentiation. Targeting these mutant‐specific transcriptional dependencies provides a rational therapeutic strategy for NPM1‐mutated AML.
Yanan Jiang +3 more
wiley +1 more source