Results 31 to 40 of about 530,036 (269)
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
Objectives: Accurate survival prediction for brain metastasis patients undergoing stereotactic radiotherapy (SRT) is crucial for personalized treatment planning and improving patient outcomes.
Tuğçe Öznacar +3 more
doaj +1 more source
In air cushion furnace, the floating height is a key process parameter which greatly affects the quality and production efficiency of high quality metal strips.
Shuai Hou +5 more
doaj +1 more source
The Semantics of Hybrid Process Models [PDF]
In the area of business process modelling, declarative notations have been proposed as alternatives to notations that follow the dominant, imperative paradigm. Yet, the choice between an imperative or declarative style of modelling is not always easy to make. Instead, a mixture of these styles is sometimes preferable.
Slaats, Tijs +3 more
openaire +4 more sources
We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
wiley +1 more source
This study compares three machine learning and deep learning models—Support Vector Regression (SVR), Recurrent Neural Networks (RNN), and Long Short-Term Memory (LSTM)—for predicting market prices using the NGX All-Share Index dataset.
Olamilekan Shobayo +3 more
doaj +1 more source
Development and performance evaluation of SCS-CN based hybrid model
In this study, a hybrid approach has been used to increase the predictive efficiency of the SCS-CN model. A recently proposed Ajmal model (developed after randomized configuration) that ignored initial abstraction and maximum potential retention has been
Pankaj Upreti, C. S. P. Ojha
doaj +1 more source
Inositol pyrophosphates are energy‐rich signaling molecules that perform critical functions in cells. Three different families of phosphatases hydrolyze the β phosphate of the inositol pyrophosphate molecules: two have narrow specificities and one is promiscuous.
Ronda J. Rolfes
wiley +1 more source
A Comprehensive Assessment and Classification of Acute Lymphocytic Leukemia
Leukemia is a form of blood cancer that results in an increase in the number of white blood cells in the body. The correct identification of leukemia at any stage is essential.
Payal Bose, Samir Bandyopadhyay
doaj +1 more source
Cost Effective Soft Sensing for Wastewater Treatment Facilities
Wastewater treatment plants are complex, non-linear, engineered systems of physical, biological and chemical processes operating at different timescales.
Maira Alvi +4 more
doaj +1 more source

