Results 41 to 50 of about 2,210,189 (286)

Infant Embryonal CNS Tumors: Molecular Insights and Treatment Considerations for Contemporary Pediatric Neuro‐Oncology

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Embryonal tumors comprise the majority of malignant central nervous system (CNS) neoplasms diagnosed in children under 3 years of age. Compared with their counterparts in older children, these tumors exhibit distinct molecular biology and a more aggressive clinical phenotype, while their management is complicated by the heightened ...
Sudarshawn Damodharan, Mariah Wright‐Nadkarni, Mohamed S. Abdelbaki, Girish Dhall   +3 more
wiley   +1 more source

A Hybrid Cloud-to-Edge Predictive Maintenance Platform

, 2021
The role of maintenance in the industry has been shown to improve companies productivity and profitability. Industry 4.0 revolutionised this field by exploiting emergent cloud technologies and IoT to enable predictive maintenance.
Jung, Sven, Enrico Macii, Nikolaos Nikolakis, Cerquitelli, Tania, Robert H. Schmitt, Monaco, Simone, Daniele Apiletti, Greco, Pietro, Marguglio, Angelo, Siegburg, Robert, Sven Jung, Pietro Greco, Apiletti, Daniele, Simone Monaco, Macii, Enrico, Giuseppe Veneziano, Tania Cerquitelli, Veneziano, Giuseppe, Angelo Marguglio, Robert Siegburg, Schmitt, Robert H., Nikolakis, Nikolaos   +21 more
core   +1 more source

Survival After Hematopoietic Stem Cell Transplantation in Diamond–Blackfan Anemia Syndrome: The Role of Iron Overload—A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT We assessed the effect of iron overload (IO) on mortality and complications following hematopoietic stem cell transplantation (HSCT) in patients with Diamond–Blackfan anemia syndrome (DBAS) in a systematic review of individual participant data and cohort data from observational studies.
Geoffrey Z. L. Kuppens, Evangelia Kiakou, Lieke de Zwart, Maurizio Miano, Eduard J. van Beers, Marc Bierings, Marije Bartels   +6 more
wiley   +1 more source

Federated Learning for Predictive Maintenance and Anomaly Detection Using Time Series Data Distribution Shifts in Manufacturing Processes

Sensors, 2023
In the manufacturing process, equipment failure is directly related to productivity, so predictive maintenance plays a very important role. Industrial parks are distributed, and data heterogeneity exists among heterogeneous equipment, which makes ...
Jisu Ahn, Younjeong Lee, Namji Kim, Chanho Park, Jongpil Jeong   +4 more
doaj   +1 more source

Framework for predictive maintenance method selection

, 2022
Purpose: Many asset owners and maintainers have the ambition to better predict the future state of their equipment to take timely and better-informed maintenance decisions.
Tinga, Tiedo, Tiddens, Wieger Willem, Braaksma, Jan   +2 more
core  

Smart Devices in Production System Maintenance

, 2022
S.25-51Smart devices depict a simple and economically efficient way to enhance existing, matured production systems towards a higher degree of digitalization and information exchange.
Permin, Eike, Lindner, Florian, Plutz, Martin, Kostyszyn, Kevin, Schmitt, Robert, Grunert, Dennis, Lossie, Karl   +6 more
core   +1 more source

A Situational Assessment of the Diagnostic Landscape and Organizational Readiness to Implement Next‐Generation Sequencing at Two Childhood Cancer Treatment Centers in Ghana

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Next‐generation sequencing (NGS) has emerged as a promising approach to improve diagnostic accuracy, but its feasibility in low‐ and middle‐income countries remains unknown. This study characterized the diagnostic landscape and assessed organizational readiness for NGS implementation at two childhood cancer treatment centers in Accra ...
Melissa Carvalho, Emmanuella Amoako, Nihad Salifu, Lily Gloria Tagoe, Yaw Bediako, Michelle Hermiston, Catherine Segbefia   +6 more
wiley   +1 more source

Analyzing Emerging Challenges for Data-Driven Predictive Aircraft Maintenance Using Agent-Based Modeling and Hazard Identification

Aerospace, 2023
The increasing use of on-board sensor monitoring and data-driven algorithms has stimulated the recent shift to data-driven predictive maintenance for aircraft. This paper discusses emerging challenges for data-driven predictive aircraft maintenance.
Juseong Lee, Mihaela Mitici, Henk A. P. Blom, Pierre Bieber, Floris Freeman   +4 more
doaj   +1 more source

Multi-Machine Gaussian Topic Modeling for Predictive Maintenance [PDF]

, 2021
In this paper, we propose a coherent framework for multi-machine analysis, using a group clustering model, which can be utilized for predictive maintenance (PdM). The framework benefits from the repetitive structure posed by multiple machines and enables
Turanoglu Bekar, Ebru,, Skoogh, Anders, Turanoglu Bekar, Ebru, Karlsson, Alexander,, Bekar, Ebru Turanoglu, Skoogh, Anders,, Karlsson, Alexander   +6 more
core   +1 more source

Effectiveness of Resistance Intradialytic Exercise Compared to Aerobic Intradialytic Exercise for Patients With Chronic Kidney Disease: A Randomized Controlled Clinical Trial

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Patients with chronic kidney disease undergoing hemodialysis commonly experience reduced physical function, fatigue, poor sleep quality, and impaired health‐related quality of life. Intradialytic exercise has been proposed as a non‐pharmacological strategy to improve these outcomes.
Klebson da Silva Almeida, Gisela Cristiane Miyamoto, Daniel da Costa Torres, Ian Setubal Reis Chaves, Jonas do Carmo Paschoalin, Braúlio Lima Nascimento, Luciana Dias Chiavegato   +6 more
wiley   +1 more source