Results 71 to 80 of about 2,315,567 (250)

Forecasting the Dialysis Burden in Japan: Validation‐Based Projections of Prevalence and Incidence Through 2050

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin, Berrak Itır Aylı, Nüket Paksoy   +2 more
wiley   +1 more source

Forecasting models analysis for predictive maintenance

Frontiers in Manufacturing Technology
IntroductionThis study explores the shift toward predictive maintenance through real-time data analytics to minimize machine downtime and improve machinery insights in industrial environments. Predictive maintenance aims to enable proactive interventions
Marco Belim, Tiago Meireles, Gil Gonçalves, Rui Pinto   +3 more
doaj   +1 more source

Association Between Individualized Education for Kidney Replacement Therapy Modality Selection and Peritoneal Dialysis Initiation: A Cross‐Sectional Study

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Peritoneal dialysis (PD) is an established home‐based kidney replacement therapy (KRT), but its uptake remains low in Japan. We evaluated whether individualized education in a dedicated outpatient clinic was associated with the initiation of PD.
Yasuko Ito, Ryuichi Yoshimura, Takaki Yamauchi, Yuta Funakoshi, Hirotaka Sonoda, Seiji Kobayashi, Hiroyuki Terawaki, Takafumi Ito   +7 more
wiley   +1 more source

Predictive maintenance strategy in the graphics departament of a tobacco company

Revista Produção Online, 2015
The purpose of this article was to describe the implementation of a strategy for Predictive Maintenance in the graphics department of the company Souza Cruz SA after the techniques of Vibration Analysis, Thermography, Ferrography and Inspection Sensitive.
Guilherme Francez Toazza, Miguel Afonso Sellitto   +1 more
doaj   +1 more source

Enteropathogenic E. coli shows delayed attachment and host response in human jejunum organoid‐derived monolayers compared to HeLa cells

FEBS Letters, EarlyView.
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi, Pilar Samperio Ventayol, Natalie Burkard, Nicolas Schlegel, Carmen Aguilar, Sina Bartfeld   +5 more
wiley   +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

Predictive Maintenance – Instandhaltung zukunftsfähig machen

, 2023
Whitepaper über Predictive Maintenance: Potenziale, Herausforderungen und Leitlinien bei ...
Kokorski, Stefan, Braun, Alexander, Großmann, Alexander, Münnich, Lars, Gentzik, Matthias, Benning, Justus   +5 more
core  

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

FEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

Machine learning techniques for predictive maintenance of building services: a comprehensive review and research outlook [PDF]

Purpose: Predictive maintenance in buildings is crucial for minimising unplanned downtime and extending lifespan of building components, yet its implementation remains complex. Machine learning (ML) offers a transformative approach by enabling systematic
Adhikari, Aravinda, Karunaratne, Tharindu; id_orcid, Sumanarathna, Nipuni, Karunaratne, T., Adhikari, A., Sumanarathna, N.   +5 more
core   +1 more source

Derivation of a cost model to aid management of CNC machine tool accuracy maintenance [PDF]

, 2015
Manufacturing industries strive to produce improved component accuracy while not reducing machine tool availability or production throughput. The accuracy of CNC production machines is one of the critical factors in determining the quality of these ...
Longstaff, Andrew P., Fletcher, Simon, Shagluf, Abubaker   +2 more
core   +1 more source