Results 61 to 70 of about 765,630 (290)

Research on Multi-granularity Attribute Reduction Method for Continuous Parameters

open access: yesJisuanji kexue yu tansuo, 2021
To measure the degree of information granulation, granularity has attracted many researchers extensive attention in the field of granular computing. One of the important and widely accepted patterns is parameterized granularity.
WU Jiang, SONG Jingjing, CHENG Fuhao, WANG Pingxin, YANG Xibei
doaj   +1 more source

Aluminum arsenide cleaved-edge overgrown quantum wires

open access: yes, 2005
We report conductance measurements in quantum wires made of aluminum arsenide, a heavy-mass, multi-valley one-dimensional (1D) system. Zero-bias conductance steps are observed as the electron density in the wire is lowered, with additional steps ...
Abstreiter, G   +8 more
core   +1 more source

Efficacy and Safety Analysis of Roxarestat in Regulating Renal Anemia in Patients on Maintenance Hemodialysis

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Objective To compare the efficacy and safety of roxarestat versus recombinant human erythropoietin (rhEPO) in the management of renal anemia in patients undergoing maintenance hemodialysis. Methods This was a prospective, open‐label, randomized controlled trial.
Lingling Chen, Junjie Zhu, Qiaonan Ge
wiley   +1 more source

Multi‑objective Feature Selection Algorithm for Neighborhood Rough Set Under Mixed Hierarchical Dependence

open access: yesShuju Caiji Yu Chuli
Accuracy and efficiency are the key metrics for evaluating the performance of feature selection algorithms. They correspond to the attribute dependence and reduction scale of neighborhood rough sets respectively. Conventional feature selection algorithms
LUO Gongzhi, ZHANG Shanglei
doaj   +1 more source

Incremental Attribute Reduction Algorithm Based on Binary Discernibility Matrix [PDF]

open access: yesJisuanji gongcheng, 2017
Incremental attribute reduction algorithm is one of the important research contents in the area of dyanmic data mining.To reduce the storage space of binary discernibility matrix,and by combining the advantages of the binary discernibility matrix that it
DING Mianwei,ZHANG Tengfei,MA Fumin
doaj   +1 more source

A Distance-Based Method for Attribute Reduction in Incomplete Decision Systems [PDF]

open access: yes, 2013
There are limitations in recent research undertaken on attribute reduction in incomplete decision systems. In this paper, we propose a distance-based method for attribute reduction in an incomplete decision system.
Demetrovics, János   +2 more
core  

Reasoning about Data Repetitions with Counter Systems [PDF]

open access: yes, 2016
We study linear-time temporal logics interpreted over data words with multiple attributes. We restrict the atomic formulas to equalities of attribute values in successive positions and to repetitions of attribute values in the future or past.
Demri, Stephane   +2 more
core   +3 more sources

Therapeutic Apheresis for Intravenous Methylprednisolone‐Refractory Neuromyelitis Optica Spectrum Disorder: Clinical and Radiological Outcomes in a Single‐Center Case Series

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Neuromyelitis optica spectrum disorder (NMOSD) is a relapsing autoimmune disease of the central nervous system. High‐dose intravenous methylprednisolone (IVMP) is the standard first‐line therapy for acute attacks, although some patients remain refractory.
Wataru Horiguchi   +5 more
wiley   +1 more source

An Accelerating Reduction Approach for Incomplete Decision Table Using Positive Approximation Set

open access: yesSensors, 2022
Due to the explosive growth of data collected by various sensors, it has become a difficult problem determining how to conduct feature selection more efficiently.
Tao Yan   +3 more
doaj   +1 more source

Dietary Protein Intake and Peritoneal Protein Losses in Peritoneal Dialysis Patients

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Peritoneal dialysis (PD) patients lose protein in their waste dialysate, potentially increasing their risk for malnutrition. We wished to determine whether there was any association between losses and dietary protein intake (DPI). Methods DPI was assessed from 24‐h dietary recall using Nutrics software.
Haalah Shaaker, Andrew Davenport
wiley   +1 more source

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