Results 51 to 60 of about 12,666,425 (359)
Node Resource Parameter Optimization Strategy for Hadoop [PDF]
Jisuanji gongcheng, 2016 For solving the problem of node resources optimization in Hadoop platform,this paper proposes a MapReduce parameter optimization strategy.When a new job is submitted,it first gets feature value of resource utilization,and then calculates the relative ...
ZENG Wanlin,CHEN Xingshu,LUO Yonggang
doaj +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Establishing a comprehensive apheresis medicine program in a resource‐constrained setting presents significant structural, financial, and logistical challenges. Despite the growing clinical importance of apheresis services globally, published experience from sub‐Saharan Africa remains sparse.
Folasade Adelekan‐Popoola +4 more
wiley +1 more source
Automated Optimization of Potential Parameters [PDF]
Journal of Chemical Theory and Computation, 2013 An algorithm and software to refine parameters of empirical energy functions according to condensed phase experimental measurements are discussed. The algorithm is based on sensitivity analysis and local minimization of the differences between experiment and simulation as a function of potential parameters.
Di Pierro, Michele, Elber, Ron
openaire +3 more sources
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
Hyper-parameter optimization in classification: To-do or not-to-do
Pattern Recognition, 2020 Hyper-parameter optimization is a process to find suitable hyper-parameters for predictive models. It typically incurs highly demanding computational costs due to the need of the time-consuming model training process to determine the effectiveness of ...
N. Tran +3 more
semanticscholar +1 more source
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
wiley +1 more source
Structure parameter optimization of a variable geometry tracked robot for structured environment [PDF]
, 2015 This paper presents an optimization design method of a variable geometry tracked robot for structured environment. The types and sizes of the obstacles in the structured environment are known.
Wang, Cong +11 more
core +1 more source
Journal of Manufacturing and Materials Processing, 2019 Fused deposition modeling (FDM) is an additive manufacturing (AM) process that is often used to fabricate geometrically complex shaped prototypes and parts.
Arup Dey, N. Yodo
semanticscholar +1 more source
FEBS Letters, EarlyView.The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li +2 more
wiley +1 more source
Pneumatic Supply System Parameter Optimization for Soft Actuators
Soft Robotics, 2020 Soft actuators using pressurized air are being widely used due to their inherent compliance, conformability, and customizability. These actuators are powered and controlled by pneumatic supply systems (PSSs) consisting of components such as compressors ...
Sagar Joshi, J. Paik
semanticscholar +1 more source