Results 41 to 50 of about 427,074 (306)
Predicting System Degradation with a Guided Neural Network Approach
Sensors, 2023 Evaluating the physical degradation behavior and estimating the lifetime of engineering systems and structures is crucial to ensure their safe and reliable operation.
Hamidreza Habibollahi Najaf Abadi +1 more
doaj +1 more source
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
Degradation modeling applied to residual lifetime prediction using functional data analysis
, 2011 Sensor-based degradation signals measure the accumulation of damage of an engineering system using sensor technology. Degradation signals can be used to estimate, for example, the distribution of the remaining life of partially degraded systems and/or ...
Gebraeel, Nagi +2 more
core +1 more source
Pocketqube Deorbit Times: Susceptibility to the Solar Cycle [PDF]
, 2017 Nowadays, as a new kind of femto-satellite with a low cost, Pocketqube has been developed to finish the space research task within the LEO region. During its lifetime the pocketqube is exposed to a high risk of collision with space debris.
Chen, Xianqi +2 more
core +1 more source
Molecular Oncology, EarlyView.Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra +10 more
wiley +1 more source
Computational Modeling of Diffusion-Based Delamination for Active Implantable Medical Devices
Bioengineering, 2023 Delamination at heterogeneous material interfaces is one of the most prominent failure modes in active implantable medical devices (AIMDs). A well-known example of an AIMD is the cochlear implant (CI).
Minh-Hai Nguyen +7 more
doaj +1 more source
Long‐Term Follow‐Up of Chemotherapy‐Associated Biological Aging in Women With Early Breast Cancer
Aging and Cancer, EarlyView.Women threated with adjuvant chemotherapy for early breast cancer have sustained long‐term increase in p16INK4a,, a robust marker of cell senescence, suggesting a chemotherapy‐associated age acceleration. p16INK4a as well as other biomarkers may identify patients at greatest risk for senescence‐related diseases of aging.
Hyman B. Muss +12 more
wiley +1 more source
Fast data augmentation for battery degradation prediction
Energy and AIDegradation prediction for lithium-ion batteries using data-driven methods requires high-quality aging data. However, generating such data, whether in the laboratory or the field, is time- and resource-intensive.
Weihan Li +6 more
doaj +1 more source
Lifetime prediction of a multi-chip high-power LED light source based on artificial neural networks
Results in Physics, 2019 A high power light-emitting diodes (LED) light source, which is assembled by many LED chips and heat sink, has a not uniform temperature distribution at working condition.
Hongwei Liu +9 more
doaj +1 more source
Predicting Hall Thruster Operational Lifetime [PDF]
40th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit, 2004 †‡ A simple analytic model predicted Hall thruster channel erosion based on thruster geometry, operating conditions, and magnetic field configuration. This model relied on a one-dimensional representation of the plasma with a fixed ionization fraction and variable ion energies based on the magnetic field distribution.
Manzella, David +2 more
openaire +1 more source