Results 51 to 60 of about 836,282 (224)

Pymoo: Multi-Objective Optimization in Python

IEEE Access, 2020
Python has become the programming language of choice for research and industry projects related to data science, machine learning, and deep learning. Since optimization is an inherent part of these research fields, more optimization related frameworks ...
Julian Blank, Kalyanmoy Deb
doaj   +1 more source

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

Molecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan, Irina Primac, Emre Etlioglu, Laurens Debruyne, Ann Janssen, Magy Sallam, Kevin Tabury, Roel Quintens, Wiebren Tjalma, Mohammed Abderrafi Benotmane   +9 more
wiley   +1 more source

Multi‐objective optimization of integrated gas–electricity energy system based on improved multi‐object cuckoo algorithm

Energy Science & Engineering, 2021
With the depletion of sources of primary energy across the world, the prospect of a global energy crisis in the near future has raised considerable concern.
Bowen Yang
doaj   +1 more source

Adaptive Multi-objective Optimization for Energy Efficient Interference Coordination in Multi-Cell Networks [PDF]

, 2014
In this paper, we investigate the distributed power allocation for multi-cell OFDMA networks taking both energy efficiency and inter-cell interference (ICI) mitigation into account.
Fei, Zesong, Kuang, Jingming, Li, Na, Xing, Chengwen   +3 more
core  

Patient‐specific pharmacogenomics demonstrates xCT as predictive therapeutic target in colon cancer with possible implications in tumor connectivity

Molecular Oncology, EarlyView.
This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker, Keren Zohar, Martin Böttcher, Thomas Wartmann, Henry Freudenstein, Maximilian Doelling, Mihailo Andric, Wenjie Shi, Or Kakhlon, Katrin Hippe, Beatrix Jahnke, Dimitrios Mougiakakos, Franziska Baenke, Daniel Stange, Roland S. Croner, Michal Linial, Ulf D. Kahlert   +16 more
wiley   +1 more source

Multi-Objective BiLevel Optimization by Bayesian Optimization

Algorithms
In a multi-objective optimization problem, a decision maker has more than one objective to optimize. In a bilevel optimization problem, there are the following two decision-makers in a hierarchy: a leader who makes the first decision and a follower who ...
Vedat Dogan, Steven Prestwich
doaj   +1 more source

Optimum Nozzle Design for a Viscous Liquid by Using Multi-Objective Search Approaches

IEEE Access, 2020
This work deals with the problem of a nozzle design addressed through a multi-objective optimization strategy where governing equations of fluid dynamics model the phenomena.
Victor Dario Cuervo Pinto, Alejandro Rodriguez-Molina, Leonel German Corona-Ramirez, Miguel Gabriel Villarreal-Cervantes   +3 more
doaj   +1 more source

Multi-Objective Mayfly Optimization in Phase Optimization of OFDM

International Islamic University Malaysia Engineering Journal, 2023
Communication systems have been used tremendously in recent years which results in the need for high data transmission rates. Orthogonal Frequency Division Multiplexing (OFDM) provides robust performance in frequency selective fading due to high ...
Abdul Azeez, Suraiya Tarannum
doaj   +1 more source

Tumor and germline testing with next generation sequencing in epithelial ovarian cancer: a prospective paired comparison using an 18‐gene panel

Molecular Oncology, EarlyView.
Genetic testing in epithelial ovarian cancer includes both germline and tumor‐testing. This approach often duplicates resources. The current prospective study assessed the feasibility of tumor‐first multigene testing by comparing tumor tissue with germline testing of peripheral blood using an 18‐gene NGS panel in 106 patients.
Elisabeth Spenard, Cristina Mitric, Melanie Care, Tracy L. Stockley, Raymond H. Kim, Jeanna McCuaig, Blaise Clarke, Laura Ranich, Clare Sheen, Sarah E. Ferguson, Liat Hogen, Taymaa May, Marcus Q. Bernardini   +12 more
wiley   +1 more source

A new multi objective crested porcupines optimization algorithm for solving optimization problems

Scientific Reports
This paper presents a new multi-objective optimization algorithm called the Multi-Objective Crested Porcupines Optimization (MOCPO) Algorithm, which uses an elitist, non-dominated sorting and crowding distance mechanism.
Divya Adalja, Pinank Patel, Nikunj Mashru, Pradeep Jangir, Arpita, Reena Jangid, G. Gulothungan, Mohammad Khishe   +7 more
doaj   +1 more source