Results 51 to 60 of about 548,222 (296)

Autonomous Reinforcement of Behavioral Sequences in Neural Dynamics [PDF]

, 2012
We introduce a dynamic neural algorithm called Dynamic Neural (DN) SARSA(\lambda) for learning a behavioral sequence from delayed reward. DN-SARSA(\lambda) combines Dynamic Field Theory models of behavioral sequence representation, classical ...
Kazerounian, Sohrob, Luciw, Matthew, Richter, Mathis, Sandamirskaya, Yulia   +3 more
core   +1 more source

Dammarenediol II enhances etoposide‐induced apoptosis by targeting O‐GlcNAc transferase and Akt/GSK3β/mTOR signaling in liver cancer

Molecular Oncology, EarlyView.
Etoposide induces DNA damage, activating p53‐dependent apoptosis via caspase‐3/7, which cleaves PARP1. Dammarenediol II enhances this apoptotic pathway by suppressing O‐GlcNAc transferase activity, further decreasing O‐GlcNAcylation. The reduction in O‐GlcNAc levels boosts p53‐driven apoptosis and influences the Akt/GSK3β/mTOR signaling pathway ...
Jaehoon Lee, Byung‐Cheol Han, Gi‐Bang Koo, Jihye Park, Mijin Kwon, Young Bin Park, Jae‐Mun Choi, Seung‐Ho Lee, Sangho Roh   +8 more
wiley   +1 more source

Tumor mutational burden as a determinant of metastatic dissemination patterns

Molecular 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, Andrea Moreno‐Manuel, Miguel Salvadó‐Pertierra, Cristina Santos‐Vivas, Rebeca Sanz‐Pamplona   +4 more
wiley   +1 more source

Asteroid lightcurves from the Palomar Transient Factory survey: Rotation periods and phase functions from sparse photometry [PDF]

, 2015
We fit 54,296 sparsely-sampled asteroid lightcurves in the Palomar Transient Factory to a combined rotation plus phase-function model. Each lightcurve consists of 20+ observations acquired in a single opposition.
Chang, Chan-Kao, Cheng, Yu-Chi, Helou, George, Ip, Wing-Huen, Kinoshita, Daisuke, Kulkarni, Shrinivas, Laher, Russ, Levitan, David, Masci, Frank, Ofek, Eran O., Prince, Thomas A., Surace, Jason, Waszczak, Adam   +12 more
core   +2 more sources

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

Molecular 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, Peyman Zarrineh, Nathnael T. Tuffa, Jigar H. Sheth, Sumitra Mohan, Mudassar Iqbal, Sankari Nagarajan   +6 more
wiley   +1 more source

Contemporary paradigms on actor training methodologies : articulated knowledge at The Bridge of Winds' group [PDF]

, 2015
The Bridge of Winds is an ensemble of actors and theatre artists from South America, Europe and Asia, that has since 1989 researched the actor's physical and vocal training. Guided by Iben Nagel Rasmussen, the Odin Teatret actress, the group explores the
Parente La Selva, Adriana, Turosik, Marek   +1 more
core  

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

Collaborative Optimization of Air Compressor Units Based on MSI-BWO Algorithm

IEEE Access
To improve the operational efficiency of compressor units and reduce waste, a Multi-Strategy Improved Beluga Whale Optimization (MSI-BWO) algorithm is proposed for the collaborative combination optimization of compressor units in an air compressor plant.
Lei Chen, Jiaxin Hou, Xiaolong Zheng, Tao Zhang, Chunhua Hu   +4 more
doaj   +1 more source

Research on opposition-based enhanced fireworks algorithm optimization for mine ventilation network

Gong-kuang zidonghua, 2019
A non-linear unrestraint optimization model of mine ventilation network was established which took the minimum total energy consumption of mine ventilation network as optimization objective.
WU Xinzhong, HU Jianhao, WEI Lianjiang, QIAN Xiaoyu, REN Zihui, ZHANG Zhichao   +5 more
doaj   +1 more source

Hyper-parameter tuning for support vector machine using an improved cat swarm optimization algorithm

Journal of Nigerian Society of Physical Sciences, 2023
Support vector machine (SVM) is a supervised machine learning algorithm for classification and regression problems. SVM performs better when combined with other classifiers or optimized with an optimization algorithm.
Silifat Adaramaja Abdulraheem, Salisu Aliyu, Fatima Binta Abdullahi   +2 more
doaj   +1 more source