Results 41 to 50 of about 21,222,564 (245)

Loss of proton‐sensing TDAG8 increases tumor progression in mouse models of colon cancer

Molecular Oncology, EarlyView.
Loss of the pH‐sensing receptor TDAG8 accelerates colorectal cancer progression in mice. Animals lacking TDAG8 expression had increased tumor growth, DNA damage, and recruitment of tumor‐associated immune cells, including macrophages, neutrophils, and monocytes.
Ermanno Malagola, Yasmine Illi, Anna Bircher, Marijn Wilmink, Rachele F. Malagutti, Solenn Ottié, Cordelia Schuler, Pedro A. Ruiz, Cheryl de Vallière, Klaus Seuwen, Gerhard Rogler, Martin Hausmann   +11 more
wiley   +1 more source

PAK1 activation drives divergent resistance mechanisms to aromatase inhibition and tamoxifen in a luminal: A breast cancer model

Molecular Oncology, EarlyView.
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller, Janina Müller, Efstathios‐Iason Vlachavas, Lukas Beumers, Lena Fleischhacker, Sara Burmester, Angelika Wörner, Sabine Karolus, Dominic Helm, Cindy Körner, Stefan Wiemann   +10 more
wiley   +1 more source

Inhibition of cyclin‐dependent kinases 12/13 using CT7439 as a treatment for colorectal cancer with CDK12 upregulation

Molecular Oncology, EarlyView.
The proposed mechanism of action for the CDK12/13 inhibitor and cyclin K degrader, CT7439. CDK12/13 inhibition interrupts transcription elongation, leading to increased DNA damage that results in cell death. This agent is a potentially novel treatment option for patients with colorectal cancer. Created in BioRender. Cyclin‐dependent kinase (CDK) 12 and
Wylie K. Watlington, Divya L. Dayanidhi, Mohammad Zokaasadi, John B. Mantyh, Pelumi D. Olawuni, Gabrielle Rupprecht, Jeremy M. Force, Shannon McCall, Ashwani K. Bahl, David S. Hsu, Jason A. Somarelli   +10 more
wiley   +1 more source

Bayesian Verification Scheme for Software Reliability Based on Staged Growth Test Information [PDF]

Jisuanji kexue
The prior distribution determination methods of existing Bayesian schemes are relatively conservative and ideal for processing software reliability phased growth testing information.In this article,an edge distribution model for the software success ...
WANG Yuzhuo, LIU Haitao, YUAN Haojie, ZHAI Yali, ZHANG Zhihua
doaj   +1 more source

On Estimation of Number of Detectable Software Faults under Budget Constraint [PDF]

International Journal of Mathematical, Engineering and Management Sciences, 2017
Checking software quality and reliability of developed software system is one of the important activities for developing highly-reliable software system.
Shinji Inoue, Kenta Hotta, Shigeru Yamada   +2 more
doaj   +1 more source

A Testing Coverage Based SRGM Subject to the Uncertainty of the Operating Environment

Computer Sciences & Mathematics Forum, 2023
The number of software failures, software reliability, and failure rates can be measured and predicted by the software reliability growth model (SRGM). SRGM is developed and tested in a controlled environment where the operating environment is different.
Sujit Kumar Pradhan, Anil Kumar, Vijay Kumar   +2 more
doaj   +1 more source

Preoperative circulating tumor cells integrated with imaging analysis for prognostic evaluation in head and neck squamous cell carcinoma

Molecular Oncology, EarlyView.
Detecting circulating tumor cells (CTCs) in blood before surgery may help predict outcomes in patients with head and neck squamous cell carcinoma (HNSCC). Here, we show when combined with tumor size and lymph node involvement from routine imaging, CTC status identifies high‐risk patients with poorer survival—offering a simple, minimally invasive tool ...
Susanne Flach, Gizem Abaci, Tom Huberty, Axel Lechner, Lukas Käsmann, Jens Ricke, Sophia Stöcklein, Martin Canis, Philipp Baumeister, Marianna Alunni‐Fabbroni   +9 more
wiley   +1 more source

Bayesian inference for a software reliability model using metrics information. [PDF]

, 2001
In this paper, we are concerned with predicting the number of faults N and the time to next failure of a piece of software. Information in the form of software metrics data is used to estimate the prior distribution of N via a Poisson regression model ...
Rodríguez Bernal, María Teresa, Wiper, Michael Peter, Wiper, Michael P., Rodríguez Bernal, M. T.   +3 more
core   +1 more source

A SOFTWARE RELIABILITY GROWTH MODEL FOR VITAL QUALITY METRICS

South African Journal of Industrial Engineering, 2012
<p>ENGLISH ABSTRACTA Non-Homogenous Poisson Process (NHPP) model whose failure intensity function has the same mathematical form as that of a generalized exponential function was proposed for application as a Software Reliability Growth Model (SRGM)
R. Subburaj, G. Gopal, P.K. Kapur
doaj  

Simulated Software Testing Process and Its Optimization Considering Heterogeneous Debuggers and Release Time

IEEE Access, 2021
Most traditional software reliability growth models (SRGMs) assume immediate fault correction upon detection and therefore only consider fault detection process (FDP).
Kaiye Gao
doaj   +1 more source