Results 151 to 160 of about 1,618,729 (319)

The ACCEPTance of automation: refining circulating tumor cells enumeration for improved metastatic colorectal cancer prognosis

open access: yesMolecular Oncology, EarlyView.
This study highlights the potential of automated enumeration using the ACCEPT software to refine circulating tumor cell (CTC) detection in metastatic colorectal cancer (mCRC). The automated method demonstrates improved accuracy and reduced variability compared to the manual approach.
Michela De Meo   +6 more
wiley   +1 more source

Deep learning architectures for diagnosing the severity of apple frog-eye leaf spot disease in complex backgrounds

open access: yesFrontiers in Plant Science
IntroductionIn precision agriculture, accurately diagnosing apple frog-eye leaf spot disease is critical for effective disease management. Traditional methods, predominantly relying on labor-intensive and subjective visual evaluations, are often ...
Bo Liu   +8 more
doaj   +1 more source

Mixed logit estimation of willingness to pay distributions: a comparison of models in preference and WTP space using data from a health-related choice experiment. [PDF]

open access: yes
Different approaches to modelling the distribution of WTP are compared using stated preference data on Tanzanian Clinical Officers’ job choices and mixed logit models. The standard approach of specifying the distributions of the coefficients and deriving
Hole, Arne Risa, Kolstad, Julie Riise
core  

Characterizing epithelial‐mesenchymal transition‐linked heterogeneity in breast cancer circulating tumor cells at a single‐cell level

open access: yesMolecular Oncology, EarlyView.
In over 50% of non‐metastatic breast cancer patients, circulating tumor cells (CTCs) along the whole epithelial‐mesenchymal transition spectrum are detected. Total CTC number and individual phenotypes relate to aggressive disease characteristics, including lymph node involvement and higher tumor proliferation. At the single‐cell level, mesenchymal CTCs
Justyna Topa   +14 more
wiley   +1 more source

Improved Probability-Weighted Moments and Two-Stage Order Statistics Methods of Generalized Extreme Value Distribution

open access: yesMathematics
This study evaluates six parameter estimation methods for the generalized extreme value (GEV) distribution: maximum likelihood estimation (MLE), two probability-weighted moments (PWM-UE and PWM-PP), and three robust two-stage order statistics estimators (
Autcha Araveeporn
doaj   +1 more source

On the Sensitivity of Return to Schooling Estimates to Estimation Methods, Model Specification, and Influential Outliers If Identification Is Weak [PDF]

open access: yes
We provide a comparison of return to schooling estimates based on an influential study by Angrist and Krueger (1991) using two stage least squares (TSLS), limited information maximum likelihood (LIML), jackknife (JIVE), and split sample instrumental ...
Jaeger, David A., Parys, Juliane
core  

The IFNγ‐CIITA‐MHC II axis modulates melanoma cell susceptibility to NK‐cell‐mediated cytotoxicity

open access: yesMolecular Oncology, EarlyView.
Natural killer (NK) cells play a central role in anti‐melanoma immunity. However, melanoma cells adapt during co‐culture by upregulating CIITA and MHC II in response to interferon gamma (IFNγ), thereby evading NK‐cell lysis. Blocking IFNγ signaling or treatment with dimethyl fumarate/simvastatin counteracts this immune escape and maintains NK‐cell ...
Lena C. M. Krause   +6 more
wiley   +1 more source

Robust State Estimation Method Based on Mahalanobis Distance Under Non-Gauss Noise

open access: yesIEEE Access
Under non-Gauss noise condition, the performance of traditional state estimation methods based on Gauss measurement noise will be greatly reduced. In order to solve this problem, a robust state estimation method based on Mahalanobis distance under non ...
Huanqiang Zhang   +7 more
doaj   +1 more source

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