Results 41 to 50 of about 143,062 (268)

Hybrid model of content extraction

Journal of Computer and System Sciences, 2012
AbstractWe present a hybrid model for content extraction from HTML documents. The model operates on Document Object Model (DOM) tree of the corresponding HTML document. It evaluates each tree node and associated statistical features like link density and text distribution across the node to predict significance of the node towards overall content ...
Qureshi, Pir Abdul Rasool, Memon, Nasrullah   +1 more
openaire   +2 more sources

Predicting Extreme Environmental Values with Hybrid Models: A Perspective Across Air Quality, Wind Energy, and Sensor Networks

Sensors
This Perspective synthesizes recent (2023–2025) progress in predicting extreme environmental values by combining empirical formulations, physics-based simulation outputs, and sensor-network data.
George Efthimiou
doaj   +1 more source

Epigenetic reprogramming of lineage switching in cancer

FEBS Letters, EarlyView.
Cancer cells rarely commit to a single identity. Epigenetic mechanisms and tumor microenvironment cues push epithelial cells toward flexible, hybrid states that can shift into mesenchymal, neuroendocrine, or stem‐like fates, driving metastasis, drug resistance, and tumor heterogeneity. Targeting the epigenetic regulators behind these transitions, using
Ezgi Boyvatlı, Burcu Akman, Ezgi Bağırsakçı, Nese Atabey, Serap Erkek‐Ozhan   +4 more
wiley   +1 more source

Dynamical patterns of EEG connectivity unveil Parkinson’s disease progression: insights from machine learning analysis

Journal of Physics: Complexity
Parkinson’s disease (PD) is a multifactorial neurodegenerative disorder with complex progression. This study aims to analyze electroencephalography (EEG) connectivity patterns to better understand PD progression and stage of the disease using machine ...
Caroline L Alves, Loriz Francisco Sallum, Francisco Aparecido Rodrigues, Thaise G L de O Toutain, Patrícia Maria de Carvalho Aguiar, Michael Moeckel   +5 more
doaj   +1 more source

Linking Bayesian and agent-based models to simulate complex social-ecological systems in semi-arid regions

Frontiers in Environmental Science, 2015
Interdependencies of ecologic, hydrologic, and social systems challenge traditional approaches to natural resource management in semi-arid regions. As a complex social-ecological system, water demands in the Sonoran Desert from agricultural and urban ...
Aloah J Pope, Randy eGimblett
doaj   +1 more source

Partial depletion of plasminogen activator inhibitor‐1 decreases subcutaneous fat cell hypertrophy and liver cholesterol in high‐fat‐fed female mice

FEBS Letters, EarlyView.
Obesity raises blood levels of PAI‐1, a protein linked to metabolic dysfunction‐associated steatotic liver disease in people with obesity. In female mice fed a high‐fat diet, partially lowering PAI‐1 led to smaller subcutaneous fat cells and lower liver cholesterol, without changing body weight or insulin sensitivity.
Claudia E. Ramirez Bustamante, Robert Sharp, Pradip K. Saha, Elizabeth S. Anaya, Elizabeth L. Lieu, Evelyn L. de Groot, Pooja Patel, Mi Jeong Heo, Aaron R. Cox, Kang Ho Kim, Sean M. Hartig   +10 more
wiley   +1 more source

A Hybrid Methodology Using Machine Learning Techniques and Feature Engineering Applied to Time Series for Medium- and Long-Term Energy Market Price Forecasting

Energies
In the electricity market, the issue of contract negotiation prices between generators/traders and buyers is of particular relevance, as an accurate contract modeling leads to increased financial returns and business sustainability for the various ...
Flávia Pessoa Monteiro, Suzane Monteiro, Carlos Rodrigues, Josivan Reis, Ubiratan Bezerra, Maria Emília Tostes, Frederico A. F. Almeida   +6 more
doaj   +1 more source

Enhancing Cryptocurrency Prediction: A Fusion of Machine Learning and Neutrosophic Programming [PDF]

Neutrosophic Sets and Systems
Fluctuations in cryptocurrency markets present a significant problem to the accuracy of forecasting trends and prices in this field. This paper proposes a new method of improving cryptocurrency forecasting by applying machine learning algorithms to a ...
Ahmad Yusuf Adhami, Mohammad Parvej, Nabil Ahmed Khan, Mohd Khalid   +3 more
doaj   +1 more source

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

FEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri, Ayaka Nagasato‐Ichikawa, Keita Iida, Shuhei Kimura, Akira Imamoto, Mariko Okada   +5 more
wiley   +1 more source

Enhancing Supercapacitor Simulation Accuracy Through a Novel Hybrid Modeling Approach

Applied Sciences
In the last 2 decades, supercapacitors have become an important component in the hybrid energy-storage system, in combination with batteries. The resulting system offers higher performance in comparison to classic energy storage systems due to the ...
Diana Lemian, Florin Ioan Bode, Ciprian Lapusan   +2 more
doaj   +1 more source