Results 51 to 60 of about 1,950,051 (253)

Modeling hepatic fibrosis in TP53 knockout iPSC‐derived human liver organoids

Molecular Oncology, EarlyView.
This study developed iPSC‐derived human liver organoids with TP53 gene knockout to model human liver fibrosis. These organoids showed elevated myofibroblast activation, early disease markers, and advanced fibrotic hallmarks. The use of profibrotic differentiation medium further amplified the fibrotic signature seen in the organoids.
Mustafa Karabicici, Soheil Akbari, Ceyda Caliskan, Canan Celiker, Ozden Oz, Leman Binokay, Gökhan Karakulah, Serif Senturk, Esra Erdal   +8 more
wiley   +1 more source

Optimal multi-scale patterns in time series streams [PDF]

Proceedings of the 2006 ACM SIGMOD international conference on Management of data, 2006
We introduce a method to discover optimal local patterns, which concisely describe the main trends in a time series. Our approach examines the time series at multiple time scales (i.e., window sizes) and efficiently discovers the key patterns in each.
Spiros Papadimitriou, Philip Yu
openaire   +1 more source

Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring [PDF]

Computer Vision and Pattern Recognition, 2016
Non-uniform blind deblurring for general dynamic scenes is a challenging computer vision problem as blurs arise not only from multiple object motions but also from camera shake, scene depth variation.
Seungjun Nah, Tae Hyun Kim, Kyoung Mu Lee   +2 more
semanticscholar   +1 more source

Patient‐specific pharmacogenomics demonstrates xCT as predictive therapeutic target in colon cancer with possible implications in tumor connectivity

Molecular Oncology, EarlyView.
This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker, Keren Zohar, Martin Böttcher, Thomas Wartmann, Henry Freudenstein, Maximilian Doelling, Mihailo Andric, Wenjie Shi, Or Kakhlon, Katrin Hippe, Beatrix Jahnke, Dimitrios Mougiakakos, Franziska Baenke, Daniel Stange, Roland S. Croner, Michal Linial, Ulf D. Kahlert   +16 more
wiley   +1 more source

Multi-scale topology optimization using neural networks

Engineering with Computers
Abstract A long-standing challenge in multi-scale structural design is ensuring proper connectivity between the constituent cells as each cell is being optimized toward its theoretical performance limit. We propose a new method for multi-scale topology optimization that seamlessly ensures compatibility across neighboring ...
Hongrui Chen, Xingchen Liu, Liwei Wang, Levent Burak Kara   +3 more
openaire   +3 more sources

Multi-objective Discrete Combinatorial Optimization Algorithm Combining Problem-Decomposition and Adaptive Large Neighborhood Search [PDF]

Jisuanji kexue yu tansuo
In order to efficiently obtain solutions for large-scale multi-objective optimization problems in reality, to achieve a balance among convergence, diversity, and uniformity has gradually become one of the important goals in multi-objective optimization ...
WEI Qian, JI Bin
doaj   +1 more source

Optimization of Discrete-parameter Multiprocessor Systems using a Novel Ergodic Interpolation Technique [PDF]

, 2015
Modern multi-core systems have a large number of design parameters, most of which are discrete-valued, and this number is likely to keep increasing as chip complexity rises. Further, the accurate evaluation of a potential design choice is computationally
Desai, Madhav P., Karanjkar, Neha V.
core  

Intein‐based modular chimeric antigen receptor platform for specific CD19/CD20 co‐targeting

Molecular Oncology, EarlyView.
CARtein is a modular CAR platform that uses split inteins to splice antigen‐recognition modules onto a universal signaling backbone, enabling precise, scarless assembly without re‐engineering signaling domains. Deployed here against CD19 and CD20 in B‐cell malignancies, the design supports flexible multi‐antigen targeting to boost T‐cell activation and
Pablo Gonzalez‐Garcia, Noelia Moares, Wenjie Yi‐He, Rosa Luna‐Espejo, Ricardo Fernandez‐Cisnal, Javier Ocaña‐Cuesta, Juan P. Muñoz‐Miranda, Antonio Gabucio, Cecilia M. Fernandez‐Ponce, Francisco Garcia‐Cozar   +9 more
wiley   +1 more source

Multi-Objective Optimisation for Large-Scale Offshore Wind Farm Based on Decoupled Groups Operation

Energies, 2022
Operation optimization for large-scale offshore wind farms can cause the fatigue loads of single wind turbines to exceed their limits. This study aims to improve the economic profit of offshore wind farms by conducting multi-objective optimization via ...
Yanfang Chen, Young Hoon Joo, Dongran Song   +2 more
doaj   +1 more source

Quasinormal-mode modeling and design in nonlinear nano-optics

, 2019
Based on quasinormal-mode theory, we propose a novel approach enabling a deep analytical insight into the multi-parameter design and optimization of nonlinear photonic structures at subwavelength scale.
Borne, Adrien, Gigli, Carlo, Lalanne, Philippe, Leo, Giuseppe, Marino, Giuseppe, Wu, Tong   +5 more
core   +3 more sources