Article
Computer Science, Artificial Intelligence
Amir Ghasemi, Amir Ashoori, Cathal Heavey
Summary: This research advances evolutionary SO methods literature by exploring the use of metamodeling within these techniques. The proposed ELBSO method utilizes a Machine Learning based simulation metamodel created using Genetic Programming to optimize the Stochastic Job Shop Scheduling Problem, outperforming other algorithms in solution quality and computation time.
APPLIED SOFT COMPUTING
(2021)
Article
Management
Liang Zheng, Ji Bao, Chengcheng Xu, Zhen Tan
Summary: We propose a biobjective robust simulation-based optimization method to solve unconstrained problems involving implementation errors and parameter perturbations. The algorithm efficiently finds a set of robust efficient solutions through a series of function evaluations or simulations. The test results show the effectiveness of the method and its superior performance.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Computer Science, Artificial Intelligence
Christopher Bayliss
Summary: This study explores the application of team orienteering problems in a traffic simulation environment and proposes a learnheuristic solution approach that integrates machine learning and optimization. Experiments show that different combinations produce solutions with varying characteristics in terms of total reward and reliability, with local search combined with a neural network proving effective in multiple instances. The study also addresses the optimal use of runtime for learnheuristic algorithms.
APPLIED SOFT COMPUTING
(2021)
Article
Energy & Fuels
Shweta Dhakla, Parvesh K. Deendyal, Harpreet Singh, Sarvesh Kumar, Manish K. Kashyap
Summary: The present study performs device optimization of GA-doped MAPbI3-based perovskite solar cells by numerical simulations. Zinc oxide and copper (I) oxide are identified as the most suitable ETL and HTL, respectively. The work function of the back contact electrode plays a vital role in device performance.
IEEE JOURNAL OF PHOTOVOLTAICS
(2023)
Article
Computer Science, Theory & Methods
Zhang Miao, Peng Yong, Yang Mei, Yin Quanjun, Xie Xu
Summary: This study proposes a new PSO-based static load balancing algorithm named APDPSO, which utilizes external archive solutions to update personal best positions of particles and introduces a probability and similarity-based discretization method for PSO. Experimental results on MATLAB and CloudSim platforms demonstrate that the proposed algorithm significantly improves convergence and diversity of the swarm, as well as efficiently reduces load imbalance compared to existing techniques.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2021)
Article
Chemistry, Analytical
Omar Said
Summary: Recently, global healthcare has made significant progress with the use of Internet of Things technology. However, in order to provide excellent patient care, a high level of safety in the IoT health system is crucial. This paper proposes a security scheme, LBSS, for the IoT-enabled healthcare environment, which utilizes three security mechanisms including blockchain technology, secure data storage, and authorized access. The simulation results demonstrate that the proposed security scheme outperforms traditional models in terms of performance metrics.
Article
Energy & Fuels
Xavier Dominguez, Paola Mantilla-Perez, Nuria Gimenez, Islam El-Sayed, Manuel Alberto Diaz Millan, Pablo Arboleya
Summary: Engineers validate vehicular Electrical Distribution Systems through analysis and experiments, utilizing a software tool to streamline workload and enhance efficiency. The specific procedure is exemplified with a case study on the main wire harness, implemented with a web-based architecture for flexibility and scalability.
Article
Economics
Timothy Tay, Carolina Osorio
Summary: This paper explores the use of Bayesian optimization with Gaussian process models to solve high-dimensional transportation problems. It proposes formulations of the prior mean function and covariance function of the Gaussian process that enable incorporation of problem-specific transportation information. The method is validated with 1-D and 100-D functions and applied to a high-dimensional traffic signal control problem in New York City.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2022)
Article
Geosciences, Multidisciplinary
Emmanuel Wyser, Yury Alkhimenkov, Michel Jaboyedoff, Yury Y. Podladchikov
Summary: The study introduces an explicit GPU-based solver for elastoplastic problems within the MPM framework and demonstrates its effectiveness through experiments. The research leverages modern GPU architectures and GIMPM method to address cell-crossing errors in MPM. The GPU-based solver achieves significant performance improvements in three-dimensional elastoplastic slumping mechanics problems.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2021)
Article
Geosciences, Multidisciplinary
Chen Chen, Charles Koll, Haizhong Wang, Michael K. Lindell
Summary: This study integrates empirical decision data from surveys and evacuation drills to develop an agent-based model of tsunami evacuation. The results show that evacuation time and participation rate have significant nonlinear impacts on mortality estimates, and walking evacuation is more effective than driving when people walk faster than 1 m/s. Additionally, the model finds that evacuation results are sensitive to walking speed, milling time, evacuation participation, and choosing the closest safe location. This interdisciplinary model provides valuable insights for hazard education, disaster preparedness, and resilience planning.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2023)
Article
Engineering, Biomedical
Jielin Chen, Xuefen Lin, Weifeng Ma, Yuchen Wang, Wei Tang
Summary: This study proposes a scheme for EEG acquisition and emotion classification in a simulated driving environment, using graph neural networks to simulate the brain's physiological structure. Through various experiments, high classification accuracy and F1 scores were obtained. The results indicate that the scheme can effectively simulate different dangerous situations during driving and monitor the driver's emotional state.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Mechanics
Ningyu Zhan, Rongqian Chen, Yancheng You
Summary: The paper presents a discrete gas-kinetic scheme based on the arbitrary Lagrangian-Eulerian method for simulating moving boundary problems. It uses the finite volume method to discretize the ALE-based Navier-Stokes equations and introduces grid motion terms based on circular function Boltzmann equations and Chapman-Enskog analysis to derive the DGKS expression. The method shows higher consistency and stability in handling inviscid and viscous fluxes in viscous flow simulations.
Article
Thermodynamics
Yu Xu, Zijun Li, Gang Li, Saeid Jalilinasrabady, Xiaowei Zhai, Yin Chen, Bing Wang
Summary: This study presents a numerical method to analyze the airflow and surrounding rock temperatures in underground roadways. By approximating the ventilation roadway as a one-dimensional line element, the modeling effort and computation time are reduced while maintaining the three-dimensional nature of the surrounding rock. The predicted airflow temperature shows good agreement with field measurements. The study also investigates the impact of ventilation time on the underground thermal environment.
CASE STUDIES IN THERMAL ENGINEERING
(2023)
Article
Engineering, Aerospace
Bekir Yildiz, Peter Foerster, Jonas Langner, Thomas Feuerle, Peter Hecker
Summary: This paper presents a concept of a fast-time gate-to-gate simulation environment that covers air traffic and ground processes. The main objective is to investigate network-related effects of disturbances in commercial European air traffic. The hybrid simulation platform enables the study of local and global effects of various disruptions based on historic traffic scenarios.
Article
Automation & Control Systems
Hyeong Soo Chang
Summary: In the constrained multi-armed bandit model, a deterministic convergent optimal algorithm is constructed by ensuring the probability of choosing an optimal feasible arm converges to one over infinite horizon. This algorithm is based on the anytime parameter-free thresholding algorithm and provides a finite-time lower bound for the convergent optimality. A relaxed version of the algorithm is also studied for estimating the optimal value and discussing its convergent optimality after a sufficiently large horizon size.
Article
Developmental Biology
Lisa Conrad, Steve Vincent Maurice Runser, Harold Fernando Gomez, Christine Michaela Lang, Mathilde Sabine Dumond, Aleksandra Sapala, Laura Schaumann, Odysse Michos, Roman Vetter, Dagmar Iber
Summary: Research shows that during early lung and kidney development, epithelial tubes are collapsed with fluid flow, and shear stress may be the driving force behind the bias in cell shape and growth direction.
Editorial Material
Cell Biology
Elie El Agha, Dagmar Iber, David Warburton
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2021)
Review
Cell Biology
Christine Lang, Lisa Conrad, Dagmar Iber
Summary: This review compares branching morphogenesis and its regulation in the lungs and kidneys, discussing the role of signaling pathways, mesenchyme, extracellular matrix, and cytoskeleton as potential determinants of branch position, orientation, and shape. Understanding the determinants of branch and organ shape in different organs may reveal how a highly conserved developmental process can adapt to various structural and functional frameworks.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2021)
Article
Developmental Biology
Laura Glorieux, Aleksandra Sapala, David Willnow, Manon Moulis, Anna Salowka, Jean-Francois Darrigrand, Shlomit Edri, Anat Schonblum, Lina Sakhneny, Laura Schaumann, Harold F. Gomez, Christine Lang, Lisa Conrad, Fabien Guillemot, Shulamit Levenberg, Limor Landsman, Dagmar Iber, Christophe E. Pierreux, Francesca M. Spagnoli
Summary: Researchers have used light-sheet fluorescence microscopy to image the mouse embryonic pancreas in three dimensions and map tissue interactions. They provide detailed cellular distribution and quantify the relative abundance of different cell types within the tissue. The findings show increasing contact between endocrine cells and endothelial cells, while interactions with mesenchymal cells decrease over time.
Article
Biology
Harold Fernando Gomez, Mathilde Sabine Dumond, Leonie Hodel, Roman Vetter, Dagmar Iber
Summary: Research has shown that during growth, pseudostratified epithelial cells exhibit highly irregular 3D shapes and dynamic organisation through neighbour intercalations. The cell packing configurations across the tissue thickness follow fundamental relationships described previously, minimizing lateral cell-cell surface energy.
Article
Multidisciplinary Sciences
Roman Vetter, Dagmar Iber
Summary: Morphogen gradients encode positional information during development. This study shows that the observed precision of progenitor domain boundaries can be achieved with a single gradient, and the patterning mechanism can generate even greater precision in progenitor cell numbers.
NATURE COMMUNICATIONS
(2022)
Review
Cell Biology
Dagmar Iber, Malte Mederacke
Summary: This article reviews the molecular regulatory interactions and discusses possible patterning mechanisms of the trachea, aiming to understand the molecular mechanism of trachea formation. This research is of great significance for biomedical interventions and tissue engineering.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2022)
Article
Physics, Multidisciplinary
Dagmar Iber, Roman Vetter
Summary: Pseudostratified epithelia have irregular cell shapes along the apical-basal axis, which are determined by fundamental geometric relationships that minimize lateral cell-cell contact energy. This understanding provides a new perspective on epithelial cell organization and can be utilized in the development of 3D simulation frameworks for studying epithelial dynamics.
FRONTIERS IN PHYSICS
(2022)
Article
Cell Biology
Dagmar Iber, Roman Vetter
Summary: Researchers have investigated the underlying mechanisms that ensure the precision and robustness of developmental outcomes. Recent studies have provided new insights into the basis of precise development by quantifying chemical gradients and epithelial cell shapes.
CURRENT OPINION IN GENETICS & DEVELOPMENT
(2022)
Article
Multidisciplinary Sciences
Manon Moulis, Steve Vincent Maurice Runser, Laura Glorieux, Nicolas Dauguet, Christophe Vanderaa, Laurent Gatto, Donatienne Tyteca, Patrick Henriet, Francesca M. Spagnoli, Dagmar Iber, Christophe E. Pierreux
Summary: Development of the pancreas is influenced by both intrinsic factors and signals from other cell types in the epithelial environment. This study used single-cell RNA sequencing and a computational interactomic approach to identify the signals involved in the interactions between different cell types during pancreas development. BMP7 was found to limit the development of endothelial cells, highlighting its role in intercellular communication.
SCIENTIFIC REPORTS
(2022)
Article
Developmental Biology
Abhishek Sharma, Marco Meer, Arvydas Dapkunas, Anneliis Ihermann-Hella, Satu Kuure, Seppo J. Vainio, Dagmar Iber, Florence Naillat
Summary: FGF8 plays a crucial role in the condensation of nephron progenitor cells towards the epithelial ureteric buds in the kidney development, by exerting a strong chemokinetic effect.
Article
Biochemistry & Molecular Biology
Tanzila Mukhtar, Jeremie Breda, Manal A. Adam, Marcelo Boareto, Pascal Grobecker, Zahra Karimaddini, Alice Grison, Katja Eschbach, Ramakrishnan Chandrasekhar, Swen Vermeul, Michal Okoniewski, Mikhail Pachkov, Corey C. Harwell, Suzana Atanasoski, Christian Beisel, Dagmar Iber, Erik van Nimwegen, Verdon Taylor
Summary: The study reveals dynamic transcriptional changes and heterogeneity within murine embryonic NSCs, BPs, and NBNs. Signature hallmarks of NSC, BP, and NBN clusters were identified, along with predicted active transcriptional nodes and networks contributing to neural fate specification. Expression of receptors, ligands, and downstream pathway components showed highly dynamic changes over time and throughout the lineage, indicating differential responsiveness to signals.
Article
Multidisciplinary Sciences
Veerle de Goederen, Roman Vetter, Katie McDole, Dagmar Iber
Summary: This study investigates the biomechanical mechanism of mammalian neural tube formation using a mechanical finite element model. The researchers achieved neural tube closure by simulating mesoderm expansion, nonneural ectoderm expansion, and neural plate adhesion to the notochord. They propose that the biomechanical force for dorsolateral hinge point formation comes from zippering.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Developmental Biology
Marcelo Boareto, Tomas Tomka, Dagmar Iber
Summary: The passage discusses how cells interpret positional information to form spatial patterns, suggesting that the difference in levels of neighboring oscillators may encode positional information. Experimental evidence challenges traditional models of somite formation and proposes a novel mechanism based on local interactions between dynamic molecular oscillators.
CELLS & DEVELOPMENT
(2021)
Article
Biology
Harold F. Gomez, Leonie Hodel, Odysse Michos, Dagmar Iber
Summary: This study utilized light-sheet fluorescence microscopy to examine measurable brain alterations in Chd8(+/-) mice at early embryonic stages, revealing differences in brain morphology compared to wild-type mice. The findings suggest the potential for exploring the etiology and cellular basis of Chd8 haploinsufficiency through high-resolution microscopy technologies and multi-scale morphometric analyses.
BMC RESEARCH NOTES
(2021)
