Results 61 to 70 of about 530,506 (256)
Organoids in pediatric cancer research
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
Attention-Based LSTM Network for Rotatory Machine Remaining Useful Life Prediction
As one of the key components in mechanical systems, rotatory machine plays a significant role in safe and stable operation. Accurate prediction of the Remaining Useful Life (RUL) of rotatory machine contributes to realization of intelligent operation and
Hao Zhang +4 more
doaj +1 more source
An Explainable Regression Framework for Predicting Remaining Useful Life of Machines
6 pages, 3 ...
Talhat Khan +4 more
openaire +2 more sources
Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation
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
AI-based remaining useful life prediction of seawater desalination membranes
Remaining Useful Life (RUL) of Reverse Osmosis (RO) membranes is defined as the anticipated time until the RO membrane reaches a specified performance threshold, triggering maintenance actions to enhance system longevity and efficiency.
Hussam Alshraideh +3 more
doaj +1 more source
Remaining Useful Life Prediction of MOSFETs via the Takagi–Sugeno Framework
The paper presents a new method of predicting the remaining useful life of technical devices. The proposed soft computing approach bridges the gap between analytical and data-driven health prognostic approaches.
Marcin Witczak +2 more
doaj +1 more source
Prediction of remaining life of power transformers based on left truncated and right censored lifetime data [PDF]
Prediction of the remaining life of high-voltage power transformers is an important issue for energy companies because of the need for planning maintenance and capital expenditures.
Hong, Yili +4 more
core +7 more sources
The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li +2 more
wiley +1 more source
Cell wall target fragment discovery using a low‐cost, minimal fragment library
LoCoFrag100 is a fragment library made up of 100 different compounds. Similarity between the fragments is minimized and 10 different fragments are mixed into a single cocktail, which is soaked to protein crystals. These crystals are analysed by X‐ray crystallography, revealing the binding modes of the bound fragment ligands.
Kaizhou Yan +5 more
wiley +1 more source
Probabilistic Monte-Carlo method for modelling and prediction of electronics component life [PDF]
Power electronics are widely used in electric vehicles, railway locomotive and new generation aircrafts. Reliability of these components directly affect the reliability and performance of these vehicular platforms.
Alghassi, Ali +3 more
core +1 more source

