Results 71 to 80 of about 1,171,281 (357)
Deep learning workflow in radiology: a primer
Insights into Imaging, 2020 Interest for deep learning in radiology has increased tremendously in the past decade due to the high achievable performance for various computer vision tasks such as detection, segmentation, classification, monitoring, and prediction.
E. Montagnon +9 more
semanticscholar +1 more source
Machine Learning for Networking: Workflow, Advances and Opportunities [PDF]
IEEE Network, 2017 Recently, machine learning has been used in every possible field to leverage its amazing power. For a long time, the networking and distributed computing system is the key infrastructure to provide efficient computational resources for machine learning ...
Mowei Wang +4 more
semanticscholar +1 more source
Crosstalk between the ribosome quality control‐associated E3 ubiquitin ligases LTN1 and RNF10
FEBS Letters, EarlyView.Loss of the E3 ligase LTN1, the ubiquitin‐like modifier UFM1, or the deubiquitinating enzyme UFSP2 disrupts endoplasmic reticulum–ribosome quality control (ER‐RQC), a pathway that removes stalled ribosomes and faulty proteins. This disruption may trigger a compensatory response to ER‐RQC defects, including increased expression of the E3 ligase RNF10 ...
Yuxi Huang +8 more
wiley +1 more source
Recent Applications of Artificial Intelligence in Radiotherapy: Where We Are and Beyond
Applied Sciences, 2022 In recent decades, artificial intelligence (AI) tools have been applied in many medical fields, opening the possibility of finding novel solutions for managing very complex and multifactorial problems, such as those commonly encountered in radiotherapy ...
Miriam Santoro +8 more
doaj +1 more source
Crowdsourcing complex workflows under budget constraints [PDF]
, 2015 We consider the problem of task allocation in crowdsourcing systems with multiple complex workflows, each of which consists of a set of interdependent micro-tasks. We propose Budgeteer, an algorithm to solve this problem under a budget constraint.
Huynh, Trung Dong +4 more
core +4 more sources
A Time-Driven Data Placement Strategy for a Scientific Workflow Combining Edge Computing and Cloud Computing [PDF]
IEEE Transactions on Industrial Informatics, 2019 Compared to traditional distributed computing environments such as grids, cloud computing provides a more cost-effective way to deploy scientific workflows.
Bing Lin +6 more
semanticscholar +1 more source
Peptide‐based ligand antagonists block a Vibrio cholerae adhesin
FEBS Letters, EarlyView.The structure of a peptide‐binding domain of the Vibrio cholerae adhesin FrhA was solved by X‐ray crystallography, revealing how the inhibitory peptide AGYTD binds tightly at its Ca2+‐coordinated pocket. Structure‐guided design incorporating D‐amino acids enhanced binding affinity, providing a foundation for developing anti‐adhesion therapeutics ...
Mingyu Wang +9 more
wiley +1 more source
Revista Naval de Odontologia On Line, 2023 Orthodontic miniscrews are used to achieve absolute anchorage. Their insertion technique is simple but must be precise to avoid intra- and postoperative complications.
Yasmina El Honsali +3 more
doaj +1 more source
Precise makespan optimization via hybrid genetic algorithm for scientific workflow scheduling problem [PDF]
, 2023 Pablo Barredo, Jorge Puente
openalex +1 more source
Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation
FEBS Letters, EarlyView.Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe +3 more
wiley +1 more source