Results 71 to 80 of about 6,436,916 (343)

Tumor mutational burden as a determinant of metastatic dissemination patterns

open access: yesMolecular Oncology, EarlyView.
This study performed a comprehensive analysis of genomic data to elucidate whether metastasis in certain organs share genetic characteristics regardless of cancer type. No robust mutational patterns were identified across different metastatic locations and cancer types.
Eduardo Candeal   +4 more
wiley   +1 more source

Modifying Glucose Metabolism Reverses Memory Defects of Alzheimer's Disease Model at Late Stages

open access: yesAdvanced Science
Significant efforts have harvested a sophisticated understanding of Alzheimer's disease (AD) including amyloid beta (Aβ) cascade mechanisms, although effective treatment for reversing or stopping AD progression is not available.
Fang Liu   +14 more
doaj   +1 more source

Learning to Model Opponent Learning

open access: yes, 2020
Multi-Agent Reinforcement Learning (MARL) considers settings in which a set of coexisting agents interact with one another and their environment. The adaptation and learning of other agents induces non-stationarity in the environment dynamics. This poses a great challenge for value function-based algorithms whose convergence usually relies on the ...
Davies, Ian, Tian, Zheng, Wang, Jun
openaire   +2 more sources

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

open access: yesMolecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel   +6 more
wiley   +1 more source

MODEL PEMBELAJARAN PENDIDIKAN KARAKTER KELAS I DI SD NEGERI KAUMAN I KOTA MALANG

open access: yesJurnal Pendidikan: Teori, Penelitian, dan Pengembangan, 2016
This study aims at generating and developing character learning model product based on group investigation consists of learning model syntax and its learning set which meet the appropriateness validity level, effectiveness, and applicability through ...
Beti Istanti Suwandayani   +2 more
doaj   +1 more source

The Impact of the Implementation Three-Step Interview Cooperative Learning Model in Mathematics Learning Toward the Learners’ Activities And Outcomes

open access: yesMalikussaleh Journal of Mathematics Learning, 2020
This study is motivated by the issues found in observations at school, where the daily teaching activities carried out by teachers show that; teaching and learning activities are classical, the teacher only stands or sits in front of the class, the ...
Usmadi Usmadi   +2 more
doaj   +1 more source

RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation [PDF]

open access: green, 2022
Yijun Tian   +5 more
openalex   +1 more source

Model Pembelajaran Discovery Learning untuk Pembelajaran IPS [PDF]

open access: yes, 2017
The aimed of this study was to improve the quality of learning by analyzing and finding out accurately: (1) the design of the learning plan social studies material appearance of natural, social and cultural with the symptoms, learning model discovery, (2)
Handayani, H. (Hasma)   +2 more
core  

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

open access: yesMolecular 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   +25 more
wiley   +1 more source

Closed-Boundary Reflections of Shallow Water Waves as an Open Challenge for Physics-Informed Neural Networks

open access: yesMathematics
Physics-informed neural networks (PINNs) have recently emerged as a promising alternative to traditional numerical methods for solving partial differential equations (PDEs) in fluid dynamics.
Kubilay Timur Demir   +2 more
doaj   +1 more source

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