Results 111 to 120 of about 4,710,511 (291)

Enhancement of Classifier Performance with Adam and RanAdam Hyper-Parameter Tuning for Lung Cancer Detection from Microarray Data—In Pursuit of Precision

open access: yesBioengineering
Microarray gene expression analysis is a powerful technique used in cancer classification and research to identify and understand gene expression patterns that can differentiate between different cancer types, subtypes, and stages.
Karthika M S   +2 more
doaj   +1 more source

Hyper-parameter grid search predictive validity.

open access: yes, 2018
Predictive validity metrics for the mean and standard deviation of attainment predictions of space-time distance model, over the grid of hyper-parameters tested using out-of-sample predictive validity.
Nicholas Graetz (5626766)   +2 more
core   +1 more source

Adaptive Network Stabilization Despite Profound Structural Reorganization in Human Organotypic Cultures

open access: yesAdvanced Science, EarlyView.
Adult human organotypic cortical slices undergo marked neuronal loss, laminar disruption, and glial activation, yet their network activity progressively stabilizes after a variable period. Electrophysiology, longitudinal calcium imaging, and quantitative histology show that structurally remodeled human circuits show adaptive capacity resulting in ...
Estilla Zsófia Tóth   +20 more
wiley   +1 more source

Hyper-parameters used in building empirical distributions.

open access: yes, 2019
Hyper-parameters used in building empirical distributions.
Takayuki Kanda (295659)   +4 more
core   +1 more source

Developing Highly Effective Nanoparticle mRNA Therapeutic for Pediatric Acute Respiratory Distress Syndrome

open access: yesAdvanced Science, EarlyView.
Sepsis‑induced pediatric acute respiratory distress syndrome suppresses FOXF1 in lung endothelial cells which causes life‐threatening lung damage. To counter this, researchers developed nanoparticles that specifically target these cells and deliver FOXF1 mRNA.
Zicheng Deng   +14 more
wiley   +1 more source

Demonstration of hyper-programming in Java [PDF]

open access: yes, 2011
We demonstrate the use of a hyper-programming system to build persistent Java applications in PJama, an orthogonally persistent version of Java. This allows program representations to contain type-safe links to persistent objects embedded directly within
Zirintsis, E   +2 more
core   +2 more sources

Plant Metabolites Screening Identifies 7‐epi‐10‐Deacetyltaxol Inhibiting Cell Division by Interfering With the Cell Cycle and Microtubule Organization

open access: yesAdvanced Science, EarlyView.
In this study, an efficient screening system is developed for plant metabolites to find a compound, 7‐epi‐10‐deacetyltaxol, inhibits tissue elongation. It suppresses plant growth through brassinosteroid and microtubule pathways. It is later applied to animal cells and human tumor organoids, resulting in similar cell division suppression. These findings
Yan‐Jie Zhang   +20 more
wiley   +1 more source

NeuHH: A Neuromorphic-Inspired Hyper-Heuristic Framework for Solving the Capacitated Single-Allocation p-Hub Location Routing Problem

open access: yesVehicles
This paper introduces a novel neuromorphic-inspired hyper-heuristic framework (NeuHH) for solving the Capacitated Single-Allocation p-Hub Location Routing Problem (CSAp-HLRP), a challenging combinatorial optimization problem that jointly addresses hub ...
Kassem Danach   +3 more
doaj   +1 more source

A Hepatocyte‐to‐Stellate Cell Axis Couples Alternate‐Day Fasting to Liver Fibrosis Resolution via ATG7 S‐Nitrosylation

open access: yesAdvanced Science, EarlyView.
Alternate‐day fasting suppresses mitochondrial complex II assembly via SDHAF4 to upregulate hepatocyte eNOS. The resulting nitric oxide S‐nitrosylates ATG7 at C184 in hepatic stellate cells, restraining autophagic flux and preventing their profibrotic activation.
Xueqiang Wang   +17 more
wiley   +1 more source

Physics-informed two-tier neural network for non-linear model order reduction

open access: yesAdvanced Modeling and Simulation in Engineering Sciences
In recent years, machine learning (ML) has had a great impact in the area of non-intrusive, non-linear model order reduction (MOR). However, the offline training phase often still entails high computational costs since it requires numerous, expensive ...
Yankun Hong, Harshit Bansal, Karen Veroy
doaj   +1 more source

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