Article
Energy & Fuels
Christos Kyriklidis, Marios-Errikos Kyriklidis, Efstratios Loizou, Adam Stimoniaris, Constantinos G. Tsanaktsidis
Summary: This paper proposes an evolutionary computation approach to optimize raw materials mixtures for Bio Marine Fuel (BMF) production, focusing on producing high-quality Biodiesel first and then creating low-sulfur BMF to reduce pollutant emissions. The genetic algorithm utilized improves fuel prices and demonstrates the capability of coping with mixture optimization problems.
Article
Computer Science, Information Systems
Giovanni Acampora, Autilia Vitiello
Summary: This study introduces a new evolutionary algorithm utilizing an actual quantum processor, which employs quantum phenomena to achieve significant speed-up in computation. By implementing quantum concepts such as quantum chromosome and entangled crossover, the proposed algorithm efficiently executes genetic evolution on quantum devices to converge towards proper sub-optimal solutions of a given optimization problem. The experimental results show that the synergy between quantum and evolutionary computation leads to a promising bio-inspired optimization strategy.
INFORMATION SCIENCES
(2021)
Article
Computer Science, Artificial Intelligence
Eric O. Scott, Mark Coletti, Catherine D. Schuman, Bill Kay, Shruti R. Kulkarni, Maryam Parsa, Chathika Gunaratne, Kenneth A. De Jong
Summary: Asynchronous evolutionary algorithms are popular for solving computationally expensive search and optimization problems using many processors. The SWEET strategy improves the ability of slow-evaluating individuals with higher fitness to multiply in the population. It shows effectiveness in optimizing problems with positive correlation between solution quality and evaluation time.
Editorial Material
Computer Science, Artificial Intelligence
Alexander Dockhorn, Simon Lucas
Summary: This paper provides an introduction to genetic algorithms including the representation of solutions and their modification through mutation and crossover operators. It is designed as an entry point for newcomers to explore further on IEEE Xplore.
IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE
(2022)
Article
Computer Science, Artificial Intelligence
Thomas H. W. Back, Anna V. Kononova, Bas van Stein, Hao Wang, Kirill A. Antonov, Roman T. Kalkreuth, Jacob de Nobel, Diederick Vermetten, Roy de Winter, Furong Ye
Summary: This article discusses some major developments in the field of evolutionary algorithms over the past 30 years, including covariance matrix adaptation evolution strategy, multimodal optimization, surrogate-assisted optimization, multiobjective optimization, and automated algorithm design. The article emphasizes the need for fewer algorithms and proper benchmarking procedures to determine the usefulness of newly proposed algorithms.
EVOLUTIONARY COMPUTATION
(2023)
Article
Computer Science, Information Systems
Dylan M. Janssen, Wayne Pullan, Alan Wee-Chung Liew
Summary: This paper presents a visualization tool called ECvis that assists in the development of population-based numerical optimization algorithms. The tool provides a simple interface with three modes: Density mode, Statistical mode, and Ranges mode. Through examples, the usefulness of ECvis in optimizing high dimensional functions using differential evolution is demonstrated.
Article
Engineering, Multidisciplinary
Emrullah Gazioglu, A. Sima Etaner-Uyar
Summary: This paper proposes a Genetic Algorithm using both Multiploid representation and the Bayesian Decision method to tackle dynamic environments. By injecting the Bayesian Optimization Algorithm into the algorithm, a Bayes Network is created to exploit interactions between variables, resulting in efficient and faster solution for Dynamic Knapsack Problem.
ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH
(2022)
Article
Computer Science, Artificial Intelligence
Lei Zhang, Haipeng Yang, Shangshang Yang, Xingyi Zhang
Summary: This study proposes a macro-micro population-based co-evolutionary multi-objective algorithm called MMCoMO for community detection in complex networks. The algorithm employs two populations, macro-population and micro-population, to obtain better community structures.
IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE
(2023)
Article
Computer Science, Artificial Intelligence
Salvador Gutierrez, Javier Tardaguila
Summary: This study used evolutionary conditional GANs for supervised data augmentation in assessing the number of berries in grapevine cluster images. The results showed that the model augmented with GANs performed better than the original model.
APPLIED SOFT COMPUTING
(2023)
Article
Automation & Control Systems
Chao Lyu, Yuhui Shi, Lijun Sun
Summary: Local community detection is a significant branch of community detection problems, playing an important role in analyzing complex networks. This article proposes an evolutionary computation-based algorithm ELCD, which detects local communities in complex networks by utilizing entire information, showing superior performance compared to other methods.
IEEE TRANSACTIONS ON CYBERNETICS
(2021)
Article
Computer Science, Artificial Intelligence
Min Shi, Yufei Tang, Xingquan Zhu, Yu Huang, David Wilson, Yuan Zhuang, Jianxun Liu
Summary: Neural architecture search (NAS) has gained significant attention in computational intelligence research, but there is limited research on Graph Neural Network (GNN) models for unstructured network data. This paper proposes a novel framework that evolves individual models in a large GNN architecture search space to dynamically approach the optimal fit. Experimental results show that evolutionary NAS matches state-of-the-art reinforcement learning methods for graph representation learning and node classification.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Laxmikant Sharma, Vasantha Lakshmi Chellapilla, Patvardhan Chellapilla
Summary: This paper presents a generalized framework for socio-inspired evolutionary algorithms, providing a survey of various algorithms in this field, highlighting their working principles, variations, and applications. The comparison with the general framework allows for a clearer understanding of the similarities and differences between these methodologies. It serves as an excellent starting point for anyone interested in this fascinating research field.
Article
Biochemistry & Molecular Biology
Ryan C. Vignogna, Sean W. Buskirk, Gregory Lang
Summary: Experimental evolution is a powerful tool for identifying genetic interactions, especially those involving non-loss-of-function mutations or mutations in essential genes. Researchers identified a strong positive genetic interaction between specific mutations in KEL1 and HSL7 in an experimentally evolved Saccharomyces cerevisiae population. By replaying the evolution of the population and performing whole-genome sequencing, they identified additional mutations with positive genetic interactions and validated these interactions through reconstruction experiments. This study highlights the ability of experimental evolution to uncover positive, allele-specific genetic interactions that are not easily detected by other methods, providing insights into unexplored areas of the yeast genetic interaction network.
MOLECULAR BIOLOGY AND EVOLUTION
(2021)
Article
Computer Science, Artificial Intelligence
Yiping Xiong, Shuyin Xia, Caoxiao Li, Xiaoyu Lian, Bin Hou, Guoyin Wang
Summary: This study proposes a multi-granularity framework that utilizes completely random trees and computes the spatial distribution of individuals to divide the feasible region into different granularities. Through sampling and migration strategy, it takes full advantage of the historical information to improve the convergence speed and optimization accuracy of the algorithm.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
(2023)
Article
Multidisciplinary Sciences
Matthew Putnins, Ioannis P. Androulakis
Summary: The evolution of complex genetic networks is shaped by adaptive and non-adaptive forces, both of which play critical roles in the development of a species and are intrinsically linked. Adaptive forces, influenced by the environment, result in selective pressure, while non-adaptive forces are not influenced by the environment.
Review
Cardiac & Cardiovascular Systems
Frank Lezoualc'h, Lina Badimon, Hana Baker, Monique Bernard, Gabor Czibik, Rudolf A. de Boer, Thomas D'Humieres, Micheline Kergoat, Mark Kowala, Jennifer Rieusset, Gemma Vilahur, Maximin Detrait, Chris Watson, Genevieve A. Derumeaux
Summary: Diabetic cardiomyopathy is a distinct, multifactorial disease that leads to ventricular hypertrophy and abnormal myocardial contractility. Animal models provide opportunities to study its mechanisms, but there are limitations when extrapolating findings to humans.
CARDIOVASCULAR RESEARCH
(2023)
Letter
Medical Laboratory Technology
Charles R. Lefevre, Charles Gibert, Laure Maucorps, Josephine Vasse, Marie Michel, Marine Chupin, Fanny Zhao, Laurent Desmurs, Nicolas Collet, Mathilde Di Filippo, Regine Cartier, Denis Monneret, Oriane Marmontel
CLINICAL CHEMISTRY AND LABORATORY MEDICINE
(2023)
Article
Clinical Neurology
Maerit Jensen, Susanne Sehner, Bastian Cheng, Eckhard Schlemm, Fanny Quandt, Ewgenia Barow, Karl Wegscheider, Florent Boutitie, Martin Ebinger, Matthias Endres, Jochen B. Fiebach, Vincent Thijs, Robin Lemmens, Keith W. Muir, Norbert Nighoghossian, Salvador Pedraza, Claus Z. Simonsen, Goetz Thomalla, Christian Gerloff
Summary: The study found that intravenous alteplase may have a potential benefit for health-related quality of life (HRQoL) beyond its effect on functional outcome.
Article
Clinical Neurology
Candice Sabben, Frederique Charbonneau, Francois Delvoye, Davide R. Strambo, Mirjam Heldner, Elodie Ong, Adrien Ter Schiphorst, Hilde Henon, Wagih Ben Hassen, Thomas Agasse-Lafont, Loic Legris, Igor Sibon, Valerie Wolff, Denis Sablot, Mahmoud Elhorany, Cecile Preterre, Nour Nehme, Sebastien Soize, David Weisenburger-Lile, Aude Triquenot-Bagan, Gioia Mione, Andreea Aignatoaie, Jeremie Papassin, Roxana Poll, Yannick Bejot, Emmanuel Carrera, Pierre Garnier, Patrik Michel, Guillaume Saliou, Pasquale Mordasini, Yves Berthezene, Vincent Costalat, Nicolas W. Bricout, Gregory Albers, Mikael Mazighi, Guillaume Turc, Pierre Seners
Summary: This observational study found that endovascular therapy (EVT) added on best medical management (BMM) did not improve functional outcome in patients with proximal posterior cerebral artery occlusion, but was associated with higher risks of intracranial hemorrhage and early neurological deterioration.
Article
Cardiac & Cardiovascular Systems
Johannes Grand, Francois Schiele, Christian Hassager, Jerry P. Nolan, Abdo Khoury, Alessandro Sionis, Nikolaos Nikolaou, Katia Donadello, Wilhelm Behringer, Bernd W. Boettiger, Alain Combes, Tom Quinn, Susanna Price, Pablo Jorge-Perez, Guido Tavazzi, Giuseppe Ristagno, Alain Cariou, Eric Bonnefoy Cudraz
Summary: This study proposes a set of quality indicators (QIs) for assessing the quality of post-out-of-hospital cardiac arrest management across Europe, with the aim of unifying and promoting quality care. These indicators include 6 primary QIs and 12 secondary QIs, ensuring reliability and accuracy through scientific methodology and selection.
EUROPEAN HEART JOURNAL-ACUTE CARDIOVASCULAR CARE
(2023)
Editorial Material
Gastroenterology & Hepatology
Cyrielle Caussy
ALIMENTARY PHARMACOLOGY & THERAPEUTICS
(2023)
Review
Geriatrics & Gerontology
Gabriel Antherieu, Mael Heiblig, Gilles Freyer, Herve Ghesquieres, Claire Falandry
Summary: This study found a high incidence of lymphopenia in adult patients treated with PARPi, especially in older patients, through a retrospective cohort study and scoping review analysis. Future work is needed to improve patient follow-up and discuss prophylactic strategies.
Review
Nutrition & Dietetics
Kamyar Kalantar-Zadeh, Vincenzo Bellizzi, Giorgina B. Piccoli, Yunying Shi, Soo Kun Lim, Sumira Riaz, Rocio Urbina Arronte, Wai Pooi Lau, Denis Fouque
Summary: An expert advisory board discussed the prevention and treatment of CKD, with a focus on dietary options. The timing of dialysis start is influenced by patients' clinical status and patient-clinician interactions. Therapies that preserve kidney function, such as adjusting lifestyle and diet, can prolong the dialysis-free period and improve CKD management.
JOURNAL OF RENAL NUTRITION
(2023)
Review
Clinical Neurology
Guillaume Becker, Justine Debatisse, Margaux Riviere, Claire Crola Da Silva, Maude Beaudoin-Gobert, Omer Eker, Oceane Wateau, Tae Hee Cho, Marlene Wiart, Leon Tremblay, Nicolas Costes, Ines Merida, Jerome Redoute, Christelle Leon, Jean-Baptiste Langlois, Didier Le Bars, Sophie Lancelot, Norbert Nighoghossian, Laura Mechtouff, Emmanuelle Canet-Soulas
Summary: Reperfusion therapies in acute ischemic stroke have shown their effectiveness, but inflammation caused by ischemia/reperfusion injury remains a challenge. This study used PET-MRI to evaluate the inflammation in a non-human primate stroke model undergoing endovascular thrombectomy (EVT) with neuroprotective cyclosporine A (CsA) treatment. The results showed chronic inflammation in the thalamus and a protective effect of CsA. The study suggests that individuals with significant ADC decrease in the putamen during occlusion may benefit from early personalized treatment targeting inflammation.
Article
Mechanics
B. Hayes, G. L. Whiting, R. MacCurdy
Summary: Thermal bubble-driven micro-pumps are an upcoming technology that displaces fluid in micro/mesofluidic channels without moving parts. In this study, an OpenFOAM model for modeling and simulating these micro-pumps was developed and validated. The model agrees with experimental data and commercial computational fluid dynamics software.
Article
Urology & Nephrology
Frank Staemmler, Laurence Derain-Dubourg, Sandrine Lemoine, Jeffrey W. Meeusen, Surendra Dasari, John C. Lieske, Andrew Robertson, Eric Schiffer
Summary: This study compared the performance of a novel GFR equation (GFR(NMR)) based on serum myo-inositol, valine, and creatinine quantified by nuclear magnetic resonance spectroscopy with validated CKD-EPI eGFR equations in patients with chronic liver disease. The results showed that GFR(NMR) outperformed other equations in estimating GFR and accurately stratified liver disease patients into CKD stages.
Article
Cardiac & Cardiovascular Systems
Julien Grynblat, Sophie-Guiti Malekzadeh-Milani, Mathilde Meot, Frederic Perros, Isabelle Szezepanski, Stephane Morisset, Caroline Ovaert, Caroline Bonnet, Pascale Maragnes, Julien Ranchoup, Marc Humbert, I. David Montani, Marilyne Levy, Damien Bonnet
Summary: This study aims to define the goals of repeated right heart catheterization (RHC) and evaluate the correlation between noninvasive criteria and hemodynamic parameters. The results showed that pulmonary vascular resistance index, pulmonary artery compliance index, and right atrial pressure were associated with adverse outcomes in pediatric pulmonary arterial hypertension. Noninvasive criteria accurately predicted the evolution of hemodynamic parameters, but some patients still had at least one at-risk hemodynamic parameter at second RHC.
JOURNAL OF THE AMERICAN HEART ASSOCIATION
(2023)
Article
Automation & Control Systems
Lawrence Smith, Robert MacCurdy
Summary: This paper presents SoRoForge, a software tool that integrates major stages of soft actuator design and fabrication, which are typically separate and require deep domain expertise. The tool uses implicit geometry functions to specify geometry and material distribution, a GUI-based software tool for interactive exploration of computational network representations of these implicit functions, and an automated tool for generating and displaying rapid simulation results. The data collected from human-interaction with this tool will be used for future automated soft actuator design based on high-level specifications.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Article
Critical Care Medicine
Tarek Sharshar, Raphael Porcher, Pierre Asfar, Lamiae Grimaldi, Julien Jabot, Laurent Argaud, Christine Lebert, Pierre-Edouard Bollaert, Marie Line Harlay, Patrick Chillet, Eric Maury, Francois Santoli, Pascal Blanc, Romain Sonneville, Vu Dinh Chuyen, Benjamin Rohaut, Aurelien Mazeraud, Jean-Claude Alvarez, Vincent Navarro, Bernard Clair, Herve Outin
Summary: This multicentre, double-blind, randomised controlled trial in 244 adults with GCSE found that adding VPA as a complementary treatment to the recommended strategy did not increase the proportion of patients discharged from hospital by day 15.
Article
Radiology, Nuclear Medicine & Medical Imaging
Alexandre Bani-Sadr, Mathilde Trintignac, Laura Mechtouff, Marc Hermier, Matteo Cappucci, Roxana Ameli, Charles de Bourguignon, Laurent Derex, Tae-Hee Cho, Norbert Nighoghossian, Omer Faruk Eker, Yves Berthezene
Summary: This pilot study evaluated the optimal Tmax threshold of two MR perfusion software packages by comparing perfusion deficit volumes to final infarct volumes. The results showed that for package A, a Tmax threshold of 6 s overestimated the final infarct volume, while for package B, a Tmax threshold of 10 s was closest to the final infarct volume. This suggests that different MR perfusion software packages may require different Tmax thresholds to define the ischemic penumbra.
MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE
(2023)