Results 61 to 70 of about 4,521,941 (297)

Metavariables Resuming Host Immune Features and Nodal Involvement Are Associated with Oncological Outcomes in Oral Cavity Squamous Cell Carcinoma

open access: yesCells, 2021
Oral cavity squamous cell carcinoma (OSCC) is a common head and neck cancer characterized by a poor prognosis associated with locoregional or distant failure.
Francesco Missale   +10 more
doaj   +1 more source

Socioeconomic and Data challenges Disaster Risk Reduction in Europe [PDF]

open access: yes, 2019
Disaster risk reduction (DRR) involves complex processes with different stakeholders at all administrative levels. Two elements in particular play a major role: the need to ensure stakeholders' interoperability through an efficient exchange of data, and ...
Hagen, Jenny Sjastad   +21 more
core  

Comparative Evaluation of Hemodiafiltration, Hemoperfusion, and Standard Hemodialysis on Efficacy, Inflammatory Control, Dialysis Adequacy, and Safety in End‐Stage Renal Disease: A Prospective Observational Study

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo   +5 more
wiley   +1 more source

Efficient Astronomical Data Condensation Using Approximate Nearest Neighbors

open access: yesInternational Journal of Applied Mathematics and Computer Science, 2019
Extracting useful information from astronomical observations represents one of the most challenging tasks of data exploration. This is largely due to the volume of the data acquired using advanced observational tools.
Łukasik Szymon   +5 more
doaj   +1 more source

Turnout Monitoring with Vehicle Based Inertial Measurements of Operational Trains: A Machine Learning Approach

open access: yesCommunications, 2019
A machine learning approach for the recent detection of crossing faults is presented in the paper. The basis for the research are the data of the axle box inertial measurements on operational trains with the system ESAH-F.
Mykola Sysyn   +4 more
doaj   +1 more source

An Effective Data Reduction Model for Machine Emergency State Detection from Big Data Tree Topology Structures

open access: yesInternational Journal of Applied Mathematics and Computer Science, 2021
This work presents an original model for detecting machine tool anomalies and emergency states through operation data processing. The paper is focused on an elastic hierarchical system for effective data reduction and classification, which encompasses ...
Iaremko Iaroslav   +3 more
doaj   +1 more source

Unassisted Noise-Reduction of Chemical Reactions Data Sets [PDF]

open access: yes, 2021
Existing deep learning models applied to reaction prediction in organic chemistry can reach high levels of accuracy (> 90% for Natural Language Processing-based ones).With no chemical knowledge embedded than the information learnt from reaction data, the
Antonio, Cardinale   +4 more
core   +1 more source

Safety of Daprodustat for the Treatment of Chronic Kidney Disease Anemia: Final Analysis of a Multicenter Postmarketing Surveillance Study in Japan

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction This final analysis of a multicenter, prospective postmarketing surveillance study evaluated the safety of daprodustat in patients with chronic kidney disease anemia in routine clinical practice in Japan. Methods Patients who initiated daprodustat between September 2020 and July 2022 were registered.
Tadao Akizawa   +7 more
wiley   +1 more source

Data-Driven Optimization of Healthcare Recommender System Retraining Pipelines in MLOps with Wearable IoT Data

open access: yesSensors
Personalized healthcare recommender systems are increasingly being deployed in edge AI environments through wearable devices. In such environments, cloud servers leverage high-performance GPUs to train base models, which are then optimized for data ...
Yohan Park   +5 more
doaj   +1 more source

Exploring Prognostic and Diagnostic Techniques for Jet Engine Health Monitoring: A Review of Degradation Mechanisms and Advanced Prediction Strategies

open access: yesEnergies, 2023
Maintenance is crucial for aircraft engines because of the demanding conditions to which they are exposed during operation. A proper maintenance plan is essential for ensuring safe flights and prolonging the life of the engines.
Maria Grazia De Giorgi   +2 more
doaj   +1 more source

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