Results 81 to 90 of about 1,079,572 (317)

Predicting the Potential Distribution of Aconitum carmichaelii Debeaux in China Under Climate Change Using an Optimized MaxEnt Model

open access: yesPlants
Aconitum carmichaelii Debeaux has been a traditional medicinal resource in China for over two millennia. However, sustainable utilization and preservation strategies for A.
Jieru Chen   +9 more
doaj   +1 more source

Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training

open access: yes, 2006
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influenced by several "strategy parameters".
Meissner, Michael   +11 more
core   +1 more source

Keratin 19 as a prognostic marker and contributing factor of metastasis and chemoresistance in high‐grade serous ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch   +13 more
wiley   +1 more source

Establishment of a humanized patient‐derived xenograft mouse model of high‐grade serous ovarian cancer for preclinical evaluation of combination immunotherapy

open access: yesMolecular Oncology, EarlyView.
We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric   +10 more
wiley   +1 more source

Automated deep-learning model optimization framework for microcontrollers

open access: yesETRI Journal
This paper introduces a framework for optimizing deep-learning models on microcontrollers (MCUs) that is crucial in today’s expanding embedded device market. We focus on model optimization techniques, particularly pruning and quantization, to enhance the
Seungtae Hong, Gunju Park, Jeong-Si Kim
doaj   +1 more source

Research on the Optimization of Multi-Class Land Cover Classification Using Deep Learning with Multispectral Images

open access: yesLand
With the advancement of artificial intelligence, deep learning has become instrumental in land cover classification. While there has been a notable emphasis on refining model structures to improve classification accuracy, it is imperative to also ...
Yichuan Li   +6 more
doaj   +1 more source

Deciphering transcriptional plasticity in pancreatic ductal adenocarcinoma reveals alterations in sensory neuron innervation

open access: yesMolecular Oncology, EarlyView.
Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova   +14 more
wiley   +1 more source

The PDB_REDO server for macromolecular structure model optimization

open access: yesIUCrJ, 2014
The refinement and validation of a crystallographic structure model is the last step before the coordinates and the associated data are submitted to the Protein Data Bank (PDB).
Robbie P. Joosten   +3 more
doaj   +1 more source

Strong Equivalence of Qualitative Optimization Problems

open access: yes, 2012
We introduce the framework of qualitative optimization problems (or, simply, optimization problems) to represent preference theories. The formalism uses separate modules to describe the space of outcomes to be compared (the generator) and the preferences
Stefan Woltran   +5 more
core  

Learning-based ship design optimization approach

open access: yes, 2012
With the development of computer applications in ship design, optimization, as a powerful approach, has been widely used in the design and analysis process.
Philip Sayer   +5 more
core   +1 more source

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