Results 71 to 80 of about 726,041 (339)
Structured Sparsity Promoting Functions [PDF]
Journal of Optimization Theory and Applications, 2019 29 pages, 34 ...
Shen, Lixin +2 more
openaire +3 more sources
Molecular Oncology, EarlyView.Clinical trials on PARP inhibitors in urothelial carcinoma (UC) showed limited efficacy and a lack of predictive biomarkers. We propose SLFN5, SLFN11, and OAS1 as UC‐specific response predictors. We suggest Talazoparib as the better PARP inhibitor for UC than Olaparib.
Jutta Schmitz +15 more
wiley +1 more source
Reconstruction of Self-Sparse 2D NMR Spectra from Undersampled Data in the Indirect Dimension
Sensors, 2011 Reducing the acquisition time for two-dimensional nuclear magnetic resonance (2D NMR) spectra is important. One way to achieve this goal is reducing the acquired data.
Zhong Chen +4 more
doaj +1 more source
Strength through diversity: how cancers thrive when clones cooperate
Molecular Oncology, EarlyView.Intratumor heterogeneity can offer direct benefits to the tumor through cooperation between different clones. In this review, Kuiken et al. discuss existing evidence for clonal cooperativity to identify overarching principles, and highlight how novel technological developments could address remaining open questions.
Marije C. Kuiken +3 more
wiley +1 more source
Path Planning Method for UAVs Based on Constrained Polygonal Space and an Extremely Sparse Waypoint Graph [PDF]
, 2021 Abdul Majeed, Seong Oun Hwang
openalex +1 more source
Semi-Sparsity for Smoothing Filters
IEEE Transactions on Image Processing, 2023 Final version but delete the graphic processing ...
Junqing Huang +3 more
openaire +3 more sources
Molecular Oncology, EarlyView.The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg +43 more
wiley +1 more source
Stochastic Volatility Models with Skewness Selection
EntropyThis paper expands traditional stochastic volatility models by allowing for time-varying skewness without imposing it. While dynamic asymmetry may capture the likely direction of future asset returns, it comes at the risk of leading to ...
Igor Martins, Hedibert Freitas Lopes
doaj +1 more source
Remote Sensing, 2016 The segmentation of point clouds is an important aspect of automated processing tasks such as semantic extraction. However, the sparsity and non-uniformity of the point clouds gathered by the popular 3D mobile LiDAR devices pose many challenges for ...
Weimin Wang +2 more
doaj +1 more source
A Sparse EEG-Informed fMRI Model for Hybrid EEG-fMRI Neurofeedback Prediction
Frontiers in Neuroscience, 2020 Measures of brain activity through functional magnetic resonance imaging (fMRI) or electroencephalography (EEG), two complementary modalities, are ground solutions in the context of neurofeedback (NF) mechanisms for brain rehabilitation protocols.
Claire Cury +4 more
doaj +1 more source