Results 31 to 40 of about 36,809,663 (299)
Pediatric Idiopathic Multicentric Castleman Disease Is Often Severe But Responsive to Siltuximab
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Idiopathic multicentric Castleman disease (iMCD) is a potentially fatal immunologic disorder marked by widespread lymphadenopathy and inflammation. Siltuximab, an interleukin‐6 (IL‐6) inhibitor, is the only FDA‐approved treatment for adult patients with iMCD.
Bridget Austin +17 more
wiley +1 more source
Method of Predicting, Estimating and Improving Mean Time between Failures in Reducing Reactive Work in Maintenance Organization [PDF]
, 2009 Mean time between failures (MTBF) is a simple way of quantifying a repairable system, subsystem, or component’s reliability. MTBF has been used for various decisions. Reliability of the system quantitatively determine by MTBF.
K., Kadirgama +3 more
core +2 more sources
JSES International, 2022 Hypothesis: Both clinical outcomes and early rates of failure will not be associated with glenoid retroversion. Methods: All patients who underwent an anatomic total shoulder arthroplasty with minimal, noncorrective reaming between 2006 and 2016 with ...
Travis J. Dekker, MD +8 more
doaj +1 more source
Referral Patterns and Diagnostic Timeliness in Pediatric Cancer: A Hospital‐Based Study in Indonesia
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Timely diagnosis and treatment are critical for improving survival among children with cancer. In low‐ and middle‐income countries (LMICs), delays are common and may be influenced by fragmented referral pathways and diagnostic limitations.
Nur Melani Sari +5 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Reduced bone mineral density (BMD) has been reported in survivors of childhood and young adult acute lymphoblastic leukaemia (ALL); however, data from cohorts treated with contemporary protocols and including matched controls remain limited.
Karen Schow Jensen +10 more
wiley +1 more source
Predicting mean time between failures of a maintained euipment using artificial neural network
, 2010 In this study an attempt is made to use the Artificial Neural Network (ANN) model predict the Mean Time between Failures of manufacturing equipment. The equipment failure pattern was carefully studied and some key factors affecting the Mean Time between ...
Oladokun, V. O, Shodimu, M. O.
core +1 more source
Inventions, 2019 This paper describes an industry laboratory implementation of local and remote automation monitoring and control of several product testing stands for status, safety, and an efficient use of resources, as well as the purpose and inter-relationship ...
Richard Fertell, Hamed Ershad
doaj +1 more source
Computing the Number of Failures for Fuzzy Weibull Hazard Function
Mathematics, 2021 The number of failures plays an important factor in the study of maintenance strategy of a manufacturing system. In the real situation, this number is often affected by some uncertainties. Many of the uncertainties fall into the possibilistic uncertainty,
Hennie Husniah, Asep K. Supriatna
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric intramedullary low‐grade gliomas (PIMLGGs) are rare neoplasms that present unique clinical and management challenges. Although surgery remains the primary tool for tissue diagnosis and decompression, complete gross‐total resection is frequently unfeasible due to the infiltrative nature of these lesions.
Olga M. Sergeenko +5 more
wiley +1 more source
Reliability Qualification Test of Train Monitoring Devices
机车电传动, 2017 Currently rail transit has no reliability qualification test standards yet. To verify whether the MTBF of LKJ meet the requirements, with the main working environment analysis of LKJ, comprehensive environmental conditions of six kinds of stress which ...
WANG Peng +3 more
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