Results 91 to 100 of about 163,780 (214)

Genetic attenuation of ALDH1A1 increases metastatic potential and aggressiveness in colorectal cancer

Molecular Oncology, EarlyView.
Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova, Zuzana Kozovska, Ondrej Pos, Kristina Pavlov, Sachin Gulati, Peter Makovicky, Kristina Jakic, Monika Burikova, Eva Sedlackova, Barbora Svitkova, Silvia Tyciakova, Vojtech Bystry, Nicolas Blavet, Boris Tichy, Matej Hrnciar, Jaroslav Budis, Miroslav Tomas, Peter Dubovan, Georgina Kolnikova, Veronika Repaska, Nikoleta Mojzesova, Eva Zomborska, Daniel Pindak, Michal Mego, Tomas Szemes, Miroslava Matuskova   +25 more
wiley   +1 more source

Targeted modulation of IGFL2‐AS1 reveals its translational potential in cervical adenocarcinoma

Molecular Oncology, EarlyView.
Cervical adenocarcinoma patients face worse outcomes than squamous cell carcinoma counterparts despite similar treatment. The identification of IGFL2‐AS1's differential expression provides a molecular basis for distinguishing these histotypes, paving the way for personalized therapies and improved survival in vulnerable populations globally.
Ricardo Cesar Cintra, Lucca Paolo Hsu Helmich, Daniel Rodrigues de Bastos, Laura Sichero, Patrícia Savio de Araujo‐Souza, Fabio Passetti, Luisa Lina Villa   +6 more
wiley   +1 more source

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

Molecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson, Lyanne Delgado‐Coka, Natalia Marchenko, Luisa F. Escobar‐Hoyos, Kenneth R. Shroyer, Alisa Yurovsky, Trey Ideker, Gábor Balázsi, Thomas MacCarthy, Scott Powers   +9 more
wiley   +1 more source

Optimized design of electric shovel working device structure based on BLISCO framework

Jixie qiangdu
In order to find a design solution that meets all the performance requirements while enabling the minimal trade-offs between different objectives, the bi-level integrated system collaborative optization (BLISCO) method based on approximate models is ...
WANG Xin, WU Juan
doaj  

Hyperparameter optimization with approximate gradient

, 2016
Most models in machine learning contain at least one hyperparameter to control for model complexity. Choosing an appropriate set of hyperparameters is both crucial in terms of model accuracy and computationally challenging.
Pedregosa, Fabian
core  

Model predictive control for unprotected left-turn based on sequential convex programming

Journal of Automation and Intelligence
In autonomous driving, an unprotected left turn is a highly challenging scenario. It refers to the situation where there is no dedicated traffic signal controlling the left turns; instead, left-turning vehicles rely on the same traffic signal as the ...
Changlong Hao, Yuan Zhang, Yuanqing Xia
doaj   +1 more source

Nearly Linear-Work Algorithms for Mixed Packing/Covering and Facility-Location Linear Programs

, 2014
We describe the first nearly linear-time approximation algorithms for explicitly given mixed packing/covering linear programs, and for (non-metric) fractional facility location.
Young, Neal E.
core  

Sequential Bayesian optimal experimental design via approximate dynamic programming

, 2016
Preprint 34 pages, 12 figures (36 small figures).
Huan, Xun, Marzouk, Youssef M.
openaire   +2 more sources

LIGHTWEIGHT OF THE VEHICLE B PILLAR BASED ON SIX SIGMA ROBUST DESIGN UNDER SIDE IMPACT

Jixie qiangdu, 2016
Robust design is an effective way to improve the reliability of structure and crash safety by considering uncertainty in vehicle design. In the traditional optimization design of vehicle body,due to ignoring of uncertainty factors,such as processing ...
QIU RuiBin, CHEN Yuan, LEI Fei, YANG ShaoYong, LI YongJun   +4 more
doaj  

Finding the Optimal Security Policies for Autonomous Cyber Operations With Competitive Reinforcement Learning

IEEE Access
Reinforcement Learning (RL) has been responsible for some of the most impressive advances in the field of Artificial Intelligence (AI). Research in competitive RL has shown that multiple agents competing in an adversarial environment can learn ...
Garrett Mcdonald, Li Li, Ranwa Al Mallah
doaj   +1 more source