Results 91 to 100 of about 1,626,687 (308)

Extracellular matrix remodeling and immune reprogramming drive residual tumor progression of liver cancer after incomplete microwave ablation

open access: yesMolecular Oncology, EarlyView.
Incomplete microwave ablation (iMWA) of liver cancer triggers a biphasic progression in residual tumors. At Day 3, the microenvironment is characterized by acute inflammatory responses and extracellular matrix (ECM) remodeling. By Day 14, a profound shift occurs toward oncogenic signal transduction and immunosuppression, marked by macrophage ...
Yu Liu   +9 more
wiley   +1 more source

Diffusion–Based Degradation Reliability Model with Imperfect Maintenance for Industrial Conveyor Belt Systems

open access: yesAppliedMath
This study develops a stochastic degradation-based reliability framework for mechanical systems subject to interacting operational stresses and imperfect maintenance.
Daniel O. Aikhuele   +2 more
doaj   +1 more source

Unique circulating miRNAome signatures captured with distinct molecular states in Lynch syndrome and sporadic colorectal cancer

open access: yesMolecular Oncology, EarlyView.
Circulating microRNA profiles distinguish nonmalignant Lynch syndrome from cancer‐associated Lynch syndrome, sporadic colorectal cancer, and healthy controls. Age‐stratified analysis reveals disease‐specific regulatory states, and a six‐miRNA panel shows concordant separation in an independent colorectal tissue cohort.
Ramadhani Salum Chambuso   +5 more
wiley   +1 more source

Optimal Imperfect Predictive Maintenance Based on Interval Remaining Useful Life Prediction

open access: yesEksploatacja I Niezawodnosc-maintenance and Reliability
Predictive maintenance is essential in prognostics and health management, where prediction of remaining useful life (RUL) plays a key role. However, various challenges exist in deep learning-based RUL prediction models, including hyperparameter tuning ...
Xiao-Liang He   +3 more
semanticscholar   +1 more source

Targeting the EpCAM‐AXL axis to overcome drug resistance in lung cancer

open access: yesMolecular Oncology, EarlyView.
Lung cancer cells often evade therapy by hijacking signaling pathways. We reveal that cleaved EpCAM (sEpCAM) stabilizes the oncogenic protein AXL, driving NF‐κB and STAT3‐mediated chemoresistance. This EpCAM‐AXL axis identifies a high‐risk patient subset with poor prognosis.
Alexa Guerrero‐Alba   +5 more
wiley   +1 more source

Extending RIS Life Span for Reliable Communication Under Hardware Ageing Effects

open access: yesIEEE Open Journal of the Communications Society
In this paper, we address the critical aspect of hardware ageing effects in reconfigurable intelligent surfaces (RISs), whereby the problem of extending the RIS’s life cycle under the impact of non-residual stochastic hardware impairment is ...
Atiquzzaman Mondal   +4 more
doaj   +1 more source

Influence of imperfect prognostics on maintenance decisions

open access: yes, 2019
A comprehensive framework (from real-time prognostics to maintenance decisions) studying the influence of the imperfect prognostics information on maintenance decision is an underexplored area. Thus, we bridge the gap and propose a new comprehensive maintenance support system.
Jain, Amit   +4 more
openaire   +2 more sources

Characterization of therapeutic antibodies targeting lymphatic and vascular resistance factor for the treatment of hypervascularized and highly metastatic cancers

open access: yesMolecular Oncology, EarlyView.
LVRF (lymphatic and vascular resistance factor) is a VEGFA splice variant upregulated in response to anti‐angiogenic therapy that fosters tumor adaptation through enhanced vascularization, lymphangiogenesis, and metastatic dissemination. Targeting LVRF with fully human neutralizing antibodies disrupts these processes and limits resistant tumor growth ...
Marion David   +12 more
wiley   +1 more source

Optimal number of imperfect repairs for deteriorating systems [PDF]

open access: yesInternational Journal of Industrial Engineering and Production Research
A periodic maintenance policy through either an imperfect repair or replacement is proposed for a repairable system. It is assumed that the system is subject to an inverse Gaussian degradation process.
Khatereh Rajinia, Mostafa Razmkhah
doaj  

A framework for post-prognosis decision-making utilizing deep reinforcement learning considering imperfect maintenance decisions and Value of Information

open access: yesArray
The digitalization era has introduced an abundance of data that can be harnessed to monitor and predict the health of structures. This paper presents a comprehensive framework for post-prognosis decision-making that utilizes deep reinforcement learning ...
P. Komninos, D. Zarouchas
doaj   +1 more source

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