Results 71 to 80 of about 1,558,454 (317)

Prognosis of Long‐Term Continuous Renal Replacement Therapy and the Impact of Combined Continuous Intravenous Sodium Infusion Therapy

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Patients requiring long‐term continuous renal replacement therapy (CRRT) generally have poor prognoses. This study evaluated whether adding continuous intravenous sodium infusion (cIVNa) is associated with improved hemodynamics and outcomes in patients undergoing long‐term CRRT for ≥ 7 days.
Akinori Yamaguchi   +6 more
wiley   +1 more source

Monitoring the Process Based on Belief Statistic for Neutrosophic Gamma Distributed Product

open access: yes, 2019
In this paper, we developed a control chart methodology for the monitoring the mean time between two events using the belief estimator under the neutrosophic gamma distribution.
Muhammad Aslam   +2 more
core   +1 more source

Quality-Relevant Monitoring of Batch Processes Based on Stochastic Programming with Multiple Output Modes

open access: yes, 2020
To implement the quality-relevant monitoring scheme for batch processes with multiple output modes, this paper presents a novel methodology based on stochastic programming.
De Gu   +3 more
core   +1 more source

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

open access: yesFEBS Letters, EarlyView.
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

Improvements of particle filter optimization algorithm for robust optimization under different types of uncertainties

open access: yesHeliyon
This paper introduces a methodology for handling different types of uncertainties during robust optimization. In real-world industrial optimization problems, many types of uncertainties emerge, e.g., inaccurate setting of control variables, and the ...
Éva Kenyeres   +2 more
doaj   +1 more source

Special Issue on “Process Monitoring and Fault Diagnosis”

open access: yes
The following Special Issue entitled “Process Monitoring and Fault Diagnosis” aims to explore the latest progress and perspectives on the application of data analytic techniques to enhance stable operation and safety in chemical processes and
Wei Sun, Cheng Ji
core   +1 more source

Experience with processes and monitors in Mesa [PDF]

open access: yesCommunications of the ACM, 1980
The use of monitors for describing concurrency has been much discussed in the literature. When monitors are used in real systems of any size, however, a number of problems arise which have not been adequately dealt with: the semantics of nested monitor calls; the various ways of defining the meaning of WAIT; priority scheduling; handling of timeouts ...
Butler W. Lampson, David D. Redell
openaire   +1 more source

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

open access: yesFEBS Letters, EarlyView.
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe   +3 more
wiley   +1 more source

On the implementation and performance assessment of an assumption-free methodology for batch process monitoring [PDF]

open access: yes
openBatch process monitoring is a challenging task due to the high variability of these type of processes. In order to ensure that the final product is of prescribed quality, statistical techniques have been developed for monitoring the process.
DI CARLO, GIULIO
core  

Data Augmentation Applied to Machine Learning-Based Monitoring of a Pulp and Paper Process

open access: yes, 2019
Industrial archived process data represent a convenient source of information for data-driven models, such as artificial neural network (ANN), that can be used for safety and efficiency improvement like early or even predictive fault detection and ...
Maurício Bezerra de Souza Jr.   +3 more
core   +1 more source

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