Results 51 to 60 of about 3,270,134 (279)
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Maintenance hemodialysis (MHD) patients frequently suffer from frailty, characterized by reduced physical function and poor prognosis. Myokines, such as myonectin, secreted by muscle, are emerging regulators of systemic health. This study investigated the relationship between serum myonectin, adipokines (adiponectin, omentin), and ...
Kenichi Kono +7 more
wiley +1 more source
Community-Aware Evolution Similarity for Link Prediction in Dynamic Social Networks
MathematicsThe link prediction problem is a time-evolving model in network science that has simultaneously abetted myriad applications and experienced extensive methodological improvement. Inferring the possibility of emerging links in dynamic social networks, also
Nazim Choudhury
doaj +1 more source
Therapeutic 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
Link stability estimation based on link connectivity changes in mobile ad-hoc networks [PDF]
, 2012 Dear Wang, Re: Link Stability Estimation Based on Link Connectivity Changes in Mobile Ad-hoc Networks I have not been able to assess if this is an author version peer-reviewed or is it an author version non peer reviewed.
Ning, Z, Song, Q, Wang, S, Jamalipour, A
core +1 more source
Bootstrap prediction intervals in State Space models [PDF]
, 2008 Prediction intervals in State Space models can be obtained by assuming Gaussian innovations and using the prediction equations of the Kalman filter, where the true parameters are substituted by consistent estimates.
Ruiz Ortega, Esther +1 more
core +2 more sources
Improving embedding-based link prediction performance using clustering
Journal of King Saud University: Computer and Information SciencesIncomplete knowledge graphs are common problem that can impair task accuracy. As knowledge graphs grow extensively, the probability of incompleteness increases.
Fitri Susanti +2 more
doaj +1 more source
Graph Neural Networks for Link Prediction
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2023 Graph Neural Networks (GNNs) belong to a class of deep learning methods that are specialized for extracting critical information and making accurate predictions on graph representations.
Alina Lazar
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin +2 more
wiley +1 more source
Link Prediction Using Evolutionary Neural Network Models
, 2019 Link prediction aims to represent the dynamic networks’ relationships of the real world in a model for predicting future links or relationships. This model can help in understanding the evolution of interactions and relationships between network members.
Yaghi, Rawan I +11 more
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Peritoneal dialysis (PD) is an established home‐based kidney replacement therapy (KRT), but its uptake remains low in Japan. We evaluated whether individualized education in a dedicated outpatient clinic was associated with the initiation of PD.
Yasuko Ito +7 more
wiley +1 more source