Results 41 to 50 of about 211,118 (264)
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
Ultrathin bending sensor with ultrahigh robustness and reliability for robotic applications
Soft bending sensors offer high sensitivity and a large deformation range, making them ideal for robotics and healthcare. However, existing sensors made from organic materials often fail under large tensile stresses and long-term bending, limiting their ...
Hao Liu +8 more
doaj +1 more source
Quality management for robust and reliable research [PDF]
Faith in scientific publications is based on the reliability of scientific data, sound assessment of risk and its management and high quality of management of a research project. Different tools enable researchers to detect possible week points in their study set-up and their data, validation of methods and equipment, quality control of products and ...
openaire +2 more sources
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
Robustness and Efficiency Considerations When Testing Process Reliability with a Limit of Detection
Processes in biotechnology are considered reliable if they produce samples satisfying regulatory benchmarks. For example, laboratories may be required to show that levels of an undesirable analyte rarely (e.g., in less than 5% of samples) exceed a ...
Laura S. Bumbulis, Richard J. Cook
doaj +1 more source
Accurate, reliable and fast robustness evaluation
Throughout the past five years, the susceptibility of neural networks to minimal adversarial perturbations has moved from a peculiar phenomenon to a core issue in Deep Learning. Despite much attention, however, progress towards more robust models is significantly impaired by the difficulty of evaluating the robustness of neural network models.
Brendel, W. +4 more
openaire +4 more sources
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
GPS baseline configuration design based on robustness analysis
The robustness analysis results obtained from a Global Positioning System (GPS) network are dramatically influenced by the configurationof the observed baselines. The selection of optimal GPS baselines may allow for a cost effective survey campaign and a
Yetkin M., Berber M.
doaj +1 more source
Reliability analysis based on gradient and heuristic optimization techniques of composite laminates using element-free Galerkin method [PDF]
This work presents a reliability methodology that couples gradient and heuristic based reliability methods with element-free Galerkin method applied in composite laminates structures.
Rojas J. E., El Hami A., Rade D. A.
doaj +1 more source
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho +3 more
wiley +1 more source

