Results 61 to 70 of about 363,003 (273)

CAFE: Fact Checking in Knowledge Graphs using Neighborhood-Aware Features [PDF]

, 2020
Knowledge Graphs (KGs) currently contain a vast amount of structured information in the form of entities and relations. Because KGs are often constructed automatically by means of information extraction processes, they may miss information that was ...
Rivero, Carlos R., Ayala Hernández, Daniel, Ruiz Cortés, David, Hernández Salmerón, Inmaculada Concepción, Borrego Díaz, Agustín   +4 more
core  

No-Reference Quality Assessment for Contrast-Distorted Images

IEEE Access, 2020
Contrast distortion is a common distortion type in the image applications. However, there are still very limited approaches proposed for quantifying the quality of the contrast-distorted images reliably.
Yutao Liu, Xiu Li
doaj   +1 more source

Why human connection is the true metric of research success

FEBS Open Bio, EarlyView.
Human‐centred mentorship can be shaped by mentor attributes, actions, intrinsic drive and career ambition. Drawing on reflections across Singapore and France, as well as workshop insights from FEBS‐IUBMB ENABLE 2024, this article shows that human‐centred mentorship creates the conditions for sustainable growth, well‐being and retention in research ...
Timothy Lin Yun Tan, Mattias Wei Ren Kon, Xavier Coumoul, Fun Man Fung   +3 more
wiley   +1 more source

Real-time content-aware texturing for deformable surfaces

, 2013
Animation of models often introduces distortions to their parameterisation, as these are typically optimised for a single frame. The net effect is that under deformation, the mapped features, i.e.
Kenny Mitchell, Iain Matthews, Mitchell, Kenny, Cosker, Darren, Xiaosong Yang, Matthews, I., Darren Cosker, Cosker, D., Mitchell, K.L., Charalampos Koniaris, Koniaris, C., Koniaris, Charalampos; id_orcid, Matthews, Iain, Yang, Xiaosong   +13 more
core   +1 more source

No-Reference Stereoscopic Image Quality Assessment Using Convolutional Neural Network for Adaptive Feature Extraction

IEEE Access, 2018
The pervasion of 3-D technologies over the years gives rise to the increasing demands of accurate and efficient stereoscopic image quality assessment (SIQA) methods, designed to automatically supervise and optimize 3-D image and video processing systems.
Yong Ding, Ruizhe Deng, Xin Xie, Xiaogang Xu, Yang Zhao, Xiaodong Chen, Andrey S. Krylov   +6 more
doaj   +1 more source

Blood‐based proteomic profiling reveals context‐dependent changes in BCL2‐associated signaling during taxane therapy in breast cancer patients

FEBS Open Bio, EarlyView.
Chemotherapy side effects significantly impact cancer survivors' quality of life. Using protein levels in blood samples from breast cancer patients before and after 12 weeks of taxane treatment, we detected treatment‐dependent changes in calcium signaling and aging pathways associated with cancer recurrence.
Saira Munshani, Eiman Y. Ibrahim, Rozalyn L. Rodwin, Leah M. Ferrucci, Kim Blenman, Maryam Lustberg, Barbara E. Ehrlich   +6 more
wiley   +1 more source

Long‐term hippocampal alterations and cognitive impairment in a murine model of surgical sepsis

FEBS Open Bio, EarlyView.
Using a mouse model of surgical sepsis, we tested long‐term memory and analyzed the transcriptome of single cells isolated from the hippocampus. Survivor mice showed worse memory, loss of certain brain cell subpopulations, and abnormal immune cell activity—suggesting that post‐sepsis brain alterations may be linked to cognitive deficits.
Dong Seong Cho, Rebecca Schmitt, Aneesha Dasgupta, Alexandra Ducharme, Jason Doles   +4 more
wiley   +1 more source

A Patch-Level Region-Aware Module with a Multi-Label Framework for Remote Sensing Image Captioning

Remote Sensing
Recent Transformer-based works can generate high-quality captions for remote sensing images (RSIs). However, these methods generally feed global or grid visual features to a Transformer-based captioning model for associating cross-modal information ...
Yunpeng Li, Xiangrong Zhang, Tianyang Zhang, Guanchun Wang, Xinlin Wang, Shuo Li   +5 more
doaj   +1 more source

Treatment with KCL‐286, a first‐in‐class retinoic acid receptor‐β (RARβ) agonist, ameliorates neuronal DNA damage and inflammation in a mouse model of Alzheimer's disease

FEBS Open Bio, EarlyView.
Repair of neuronal DNA damage in Alzheimer's disease by KCL‐286. (A) Amyloid‐β oligomers and plaques impair neuronal DNA repair pathways, leading to DNA double‐strand breaks and glial activation. (B) KCL‐286 activates RARβ/RXR signalling via retinoic acid response elements (RAREs), associated with increased BRCA1 expression, enhanced DNA repair and ...
Natasha Hill, Hassan Yousef Othman AlMuallim, Elouisa Maddock, Carl Hobbs, Earl Clarke, Maria B. Goncalves, Jonathan P. T. Corcoran   +6 more
wiley   +1 more source

Toward accurate single image sand dust removal by utilizing uncertainty-aware neural network

Frontiers in Neurorobotics
Although deep learning methods have made significant strides in single image sand dust removal, the heterogeneous uncertainty induced by dusty environments poses a considerable challenge.
Bingcai Wei, Hui Liu, Chuang Qian, Haoliang Shen, Yibiao Chen, Yixin Wang   +5 more
doaj   +1 more source