Results 121 to 130 of about 153,439 (296)

Establishment of a humanized patient‐derived xenograft mouse model of high‐grade serous ovarian cancer for preclinical evaluation of combination immunotherapy

open access: yesMolecular Oncology, EarlyView.
We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric   +10 more
wiley   +1 more source

Fault-tolerant system considerations for a redundant strapdown inertial measurement unit [PDF]

open access: yes
The development and evaluation of a fault-tolerant system for the Redundant Strapdown Inertial Measurement Unit (RSDIMU) being developed and evaluated by the NASA Langley Research Center was continued.
Mangoubi, R., Motyka, P., Ornedo, R.
core   +1 more source

CCDC80 suppresses high‐grade serous ovarian cancer migration via negative regulation of B7‐H3

open access: yesMolecular Oncology, EarlyView.
PAX8 is a lineage‐specific master regulator of transcription in high‐grade serous ovarian cancer (HGSC) progression. We show for the first time that PAX8 facilitates proliferation and metastasis by repressing the cell autonomous tumor suppressor CCDC80 and inducing B7‐H3 expression.
Aya Saleh   +12 more
wiley   +1 more source

Fault diagnosis method for redundancy sensors of electric actuator

open access: yesXibei Gongye Daxue Xuebao
In order to solve the singular fault modes of redundant position sensors in electric actuators, a fault diagnosis method based on Hall sensor analytical model is proposed on the basis of traditional redundancy comparison algorithm.
CUI Yuwei, LI Aijun, SUN Yang
doaj   +1 more source

Engine fault diagnosis based on sensor data fusion using evidence theory

open access: yesAdvances in Mechanical Engineering, 2016
Evidence theory is widely used in fault diagnosis due to its efficiency to model and fuse sensor data. However, one shortcoming of the existing evidential fault diagnosis methods is that only the basic probability assignments in singletons can be ...
Moxian Song, Wen Jiang
doaj   +1 more source

E2A selectively regulates TGF‐β–induced apoptosis in KRAS‐mutant non‐small cell lung cancer

open access: yesMolecular Oncology, EarlyView.
Ability to induce apoptosis by TGF‐β is frequently lost in advanced lung adenocarcinoma despite intact TGF‐β signaling. We identify E2A as a mutant KRAS–dependent mediator of resistance to TGF‐β–induced apoptosis. TGF‐β induces E2A via SMAD3 in mutant KRAS cells, and E2A silencing restores apoptosis and enhances radiation response in cell lines ...
Sergei Chuikov   +3 more
wiley   +1 more source

Application of RBF Neural Network to Locomotive Speed Sensor Fault Diagnosis

open access: yes机车电传动, 2012
An locomotive speed sensor fault diagnosis method based on Radial Basis Function (RBF) neural network was presented. RBF neural network predictor was built by taking common faults of photoelectric speed sensor as model.
XIE Bin, LI Guo-ning, FENG Tao, LI Bo
doaj  

Machine learning techniques for fault isolation and sensor placement [PDF]

open access: yes
Fault isolation and sensor placement are vital for monitoring and diagnosis. A sensor conveys information about a system's state that guides troubleshooting if problems arise.
Carnes, James R., Fisher, Douglas H.
core   +1 more source

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