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ML-SIM
Structured illumination microscopy (SIM) has become an important technique for optical super-resolution imaging because it allows a doubling of image resolution at speeds compatible with live-cell imaging. However, the...
Published by: Biomedical optics express
ML-SIM
Structured illumination microscopy (SIM) has become an important technique for
optical super-resolution imaging because it allows a doubling of image resolution at speeds
compatible with live-cell imaging. However, the...
ML-EC2
A multi-label variant of email classification named ML-EC2 (multi-label email classification using clustering) has been proposed in this work. ML-EC2 is a hybrid algorithm based on text clustering, text classification...
Published by: IGI Global Scientific Publishing
Assessing the Effectiveness of Textual Recommendations in KoopaML
Pablo Antúnez-Muiños, Pablo Pérez-Sánchez, Andrea Vázquez-Ingelmo, Francisco García-Peñalvo, Antonio Sánchez-Puente, Víctor Vicente-Palacios, Alicia García-Holgado, P. Dorado-Díaz, Jesús Sampedro-Gómez, Ignacio Cruz-González, Pedro Sánchez
Jan 01, 2024
Artificial intelligence (AI) integration, notably in healthcare, has been significant, yet effective implementation in critical areas requires expertise. KoopaML, a previously developed visual platform, aims at bridging this...
Published by: IGI Global Scientific Publishing
A Proposal for Research on the Application of AI/ML in ITPM
According to the market research firm Tractica, the global artificial intelligence software market is forecast to grow to 126 billion by 2025. Additionally, the Gartner group predicts that during the same time as much as 80% of...
Published by: IGI Global Scientific Publishing
Hypothalamic AMPK-ER Stress-JNK1 Axis Mediates the Central Actions of Thyroid Hormones on Energy Balance
N Martínez-Sánchez, P Seoane-Collazo, C Contreras, L Varela, J Villarroya, E Rial-Pensado, X Buqué, I Aurrekoetxea, TC Delgado, R Vázquez-Martínez, I González-García, J Roa, AJ Whittle, B Gomez-Santos, V Velagapudi, YCL Tung, DA Morgan, PJ Voshol, PB Martínez de Morentin, T López-González, L Liñares-Pose, F Gonzalez, K Chatterjee, T Sobrino, G Medina-Gómez, RJ Davis, N Casals, M Orešič, AP Coll, A Vidal-Puig, J Mittag, M Tena-Sempere, MM Malagón, C Diéguez, ML Martínez-Chantar, P Aspichueta, K Rahmouni, R Nogueiras, G Sabio, F Villarroya, M López
Aug 09, 2017
Thyroid hormones (THs) act in the brain to modulate energy balance. We show that central triiodothyronine (T3) regulates de novo lipogenesis in liver and lipid oxidation in brown adipose tissue (BAT) through the parasympathetic...
AMPK bat ER stress JNK1 SF1 VMH Autonomic Nervous System Ceramides Liver Thyroid Hormones Adipose Tissue Brown Animals Energy Metabolism Hypothalamus Lipid Metabolism Liver Male Mice Inbred C57BL Mitogen-Activated Protein Kinase 8 Rats Rats Sprague-Dawley Signal Transduction Thermogenesis Thyroid Hormones Triiodothyronine
A ML framework to predict permeability of highly porous media based on PSD
Abstract
Using machine learning (ML) method to predict permeability of porous media has shown great potential in recent years. A current problem is the lack of effective models to...
A ML framework to predict permeability of highly porous media based on PSD
Abstract
Using machine learning (ML) method to predict permeability of porous media has shown great potential in recent years. A current problem is the lack of effective models to...
Neural Population Dynamics Underlying Encoding of Time in the Cortico-Striatal Circuit
Francisca Martínez Traub
Jan 01, 0001
Interval timing, the ability to accurately measure elapsed time between events, is critical for generating appropriate behavioral responses. Research conducted over the past decades has implicated the cortico-striatal-thalamic...
Published by: Rockefeller University
A ML framework to predict permeability of highly porous media based on PSD
Abstract: Using machine learning (ML) method to predict permeability of porous media has shown great potential in recent years. A current problem is the lack of effective models to account for highly porous media with dilated...
G-quadruplexes are transcription factor binding hubs in human chromatin
Jochen Spiegel, Sergio Martínez Cuesta, Santosh Adhikari, Robert Hänsel-Hertsch, David Tannahill, Shankar Balasubramanian
Apr 23, 2021
Abstract: Background: The binding of transcription factors (TF) to genomic targets is critical in the regulation of gene expression. Short, double-stranded DNA sequence motifs are routinely implicated in TF recruitment, but many...
G-quadruplexes are transcription factor binding hubs in human chromatin.
Jochen Spiegel, Sergio Martínez Cuesta, Santosh Adhikari, Robert Hänsel-Hertsch, David Tannahill, Shankar Balasubramanian
Mar 26, 2021
Missing the missing values
Abstract: Nowadays, there is an increasing concern in machine learning about the causes underlying unfair decision making, that is, algorithmic decisions discriminating some groups over others, especially with groups that are...
434 MHz Environmentally Safe Monitoring Schema for Vehicular Network by AI-ML-IoT Technologies
Connected vehicular tracking schema operated in environmentally safe radio frequency of 434 MHz, artificial intelligence, and machine learning and IoT technology (CVT-AIML-IoT) is cost effective and secured tracking or device...
Published by: IGI Global Scientific Publishing
Crystallization processes in bi-component thin film depositions:
The kinetic Monte Carlo (KMC) method is a powerful and simple tool to simulate the growth of thin films by deposition. However, one of its major drawbacks is the artificial order induced by the use of regular lattices. An...
Crystallization kinetic Monte Carlo Nanocomposite Polycrystal Thin film deposition /dk/atira/pure/subjectarea/asjc/1600/1600 name=General Chemistry /dk/atira/pure/subjectarea/asjc/3100/3104 name=Condensed Matter Physics /dk/atira/pure/subjectarea/asjc/2500/2505 name=Materials Chemistry /dk/atira/pure/subjectarea/asjc/2500/2508 name=Surfaces, Coatings and Films /dk/atira/pure/subjectarea/asjc/3100/3110 name=Surfaces and Interfaces
Crystallization processes in bi-component thin film depositions:
The kinetic Monte Carlo (KMC) method is a powerful and simple tool to simulate the growth of thin films by deposition. However, one of its major drawbacks is the artificial order induced by the use of regular lattices. An...
Crystallization kinetic Monte Carlo Nanocomposite Polycrystal Thin film deposition /dk/atira/pure/subjectarea/asjc/1600/1600 name=General Chemistry /dk/atira/pure/subjectarea/asjc/3100/3104 name=Condensed Matter Physics /dk/atira/pure/subjectarea/asjc/2500/2505 name=Materials Chemistry /dk/atira/pure/subjectarea/asjc/2500/2508 name=Surfaces, Coatings and Films /dk/atira/pure/subjectarea/asjc/3100/3110 name=Surfaces and Interfaces
Colloidal Metal-Halide Perovskite Nanoplatelets
Clara Otero-Martínez, Junzhi Ye, Jooyoung Sung, Isabel Pastoriza-Santos, Jorge Pérez-Juste, Zhiguo Xia, Akshay Rao, Robert LZ Hoye, Lakshminarayana Polavarapu
Mar 10, 2022
Colloidal metal-halide perovskite nanocrystals (MHP NCs) are gaining significant attention for a wide range of optoelectronics applications owing to their exciting properties, such as defect tolerance, near-unity...
Integrating Unsupervised and Supervised ML Models for Analysis of Synthetic Data From VAE, GAN, and Clustering of Variables
Lakshmi Prayaga, Krishna Devulapalli, Chandra Prayaga, Aaron Wade, Gopi Reddy, Sri Pola
Jan 01, 2024
Clustering of variables is a specialized approach for dimensionality reduction. This strategy is evaluated for data reduction with a Kaggle diabetes dataset. Since the original dataset is small, Generative Adversarial Networks...
Published by: IGI Global Scientific Publishing
Leveraging TenSEAL
In our interconnected world, the use of Internet of Things (IoT) devices generates vast amounts of sensitive data. To secure this data while extracting insights, privacy-preserving machine learning (PPML) tools like Fully...
Published by: IGI Global Scientific Publishing
On the Finite Element Implementation of Functionally Graded Materials.
Emilio Martínez-Pañeda
Feb 07, 2019
We investigate the numerical implementation of functionally graded properties in the context of the finite element method. The macroscopic variation of elastic properties inherent to functionally graded materials (FGMs) is...
Jordan’s self-fulfilling prophecy
JC Martínez
Jun 21, 2016
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