Results 81 to 90 of about 519,058 (268)
EnergiesLoop shaping the controller for high-order systems, especially in the presence of flexible transmission components such as elastic shafts, gearboxes, and belts commonly found in servo systems, poses significant challenges.
Pengcheng Lan, Ming Yang, Chaoyi Shang
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Estimation of indirect reference intervals for serum thyrotropin using hospital records
Asian Journal of Medical Sciences, 2017 Background: Reference intervals of any biochemical analyte serve as an invaluable tool in clinical decision making. The IFCC (International Federation of Clinical Chemistry) guidelines for determining these values are not feasible in some hospital ...
Kushal Bhattarai
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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
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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
The VARK Model Investigated at the Students from PPPE
Journal of Educational Studies, 2019 Learning style can often be the „shadow witness” of students' academic performance. Understanding and knowing this aspect may facilitate the process of academic transformation, and in some cases may suggest better methods of teaching and reporting to ...
Mihai Covaci
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Non-parametric Representation Learning with Kernels
Proceedings of the AAAI Conference on Artificial IntelligenceUnsupervised and self-supervised representation learning has become popular in recent years for learning useful features from unlabelled data. Representation learning has been mostly developed in the neural network literature, and other models for representation learning are surprisingly unexplored. In this work, we introduce and analyze several kernel-
Pascal Mattia Esser +2 more
openaire +2 more sources
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
A Comparative Genomics Approach to the Identification of QTL Candidate Genes
Revstat Statistical Journal, 2011 Despite rapid advances in sequencing technology, many commercially relevant species remain unsequenced, and many that are sequenced have very poorly annotated genomes.
Howsun Jow +2 more
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Organoids in pediatric cancer research
FEBS Letters, EarlyView.Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
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icenReg: Regression Models for Interval Censored Data in R
Journal of Statistical Software, 2017 The non-parametric maximum likelihood estimator and semi-parametric regression models are fundamental estimators for interval censored data, along with standard fullyparametric regression models.
Clifford Anderson-Bergman
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