Article
Engineering, Civil
Iason Papaioannou, Daniel Straub
Summary: Line sampling is an efficient method for estimating failure probabilities, with ALS being an adaptive approach and CLS offering a better combination of estimators for improved performance.
Article
Computer Science, Interdisciplinary Applications
Hiram Ponce, Mario Acevedo, Javier Gonzalez-Juarez, Lourdes Martinez-Villasenor, Gabriel Diaz-Ramos, Carlos Mayorga-Acosta
Summary: This article presents the design of a line walking legged robot for narrow support. Inspired by the locomotion of chameleons, the robot achieves self-balancing and straight line walking. The experimental results demonstrate that the robot can walk smoothly on narrow support lines, which is significant for rescue and maintenance missions.
SIMULATION MODELLING PRACTICE AND THEORY
(2022)
Review
Computer Science, Interdisciplinary Applications
Anna Procopio, Giuseppe Cesarelli, Leandro Donisi, Alessio Merola, Francesco Amato, Carlo Cosentino
Summary: Mechanistic-based models (MMs) and Machine Learning (ML) techniques are often used separately to investigate biological systems. This review investigates the combination of MMs and ML in systems biology research and highlights the great potential of this hybrid approach at both micro and macro biological scales.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2023)
Article
Quantum Science & Technology
Ignacio Loaiza, Alireza Marefat Khah, Nathan Wiebe, Artur F. Izmaylov
Summary: We investigate different linear combination of unitaries (LCU) decompositions for molecular electronic structure Hamiltonians. The 1-norm of the coefficients is the main figure of merit for Hamiltonian simulation on a quantum computer, representing the quantum circuit complexity. It is shown that the lowest possible 1-norm for a given Hamiltonian is half of its spectral range. However, achieving this minimum norm decomposition is challenging, so multiple practical techniques are proposed and assessed for generating LCU decompositions. Additionally, a technique utilizing symmetries is introduced to further reduce the 1-norm. LCU is extended from the Schrodinger picture to the interaction picture, resulting in a substantial reduction in the 1-norm.
QUANTUM SCIENCE AND TECHNOLOGY
(2023)
Article
Engineering, Industrial
Mojtaba Ebrahimi, Mehdi Mahmoodjanloo, Behnam Einabadi, Armand Baboli, Eva Rother
Summary: This paper discusses the impact of a newly emerging mass-individualisation concept on manufacturing systems, particularly the sequencing problem in dynamic environments. The author uses a real-world case to propose a mathematical model and a hyper-heuristic method for solving the problem, and employs a simulation approach for optimization in dynamic environments. The results indicate that the simulation approach is highly effective in solving such problems in real-world cases.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Dominik Gedeon, Philipp Dorsch, Stefan J. Rupitsch
Summary: The article provides an overview of different modeling strategies and simulation approaches for piezoelectric vibration energy harvesters, as well as an example of an EEN controlled by electrode voltage. This technique offers advantages over uncontrolled methods.
IEEE SENSORS JOURNAL
(2021)
Article
Biology
Baeckkyoung Sung
Summary: The organ-on-a-chip is an artificial microphysiological system that mimics dynamic and physiologically relevant features of the body. It is widely used to simulate complex hormone dynamics and endocrine signaling pathways. Mathematical and computational modeling approaches are crucial for analyzing and predicting the chip's responses.
MATHEMATICAL BIOSCIENCES
(2022)
Review
Critical Care Medicine
David M. Hannon, Sonal Mistry, Anup Das, Sina Saffaran, John G. Laffey, Bindi S. Brook, Jonathan G. Hardman, Declan G. Bates
Summary: Computer simulation offers a fresh approach to investigate mechanical ventilation issues by using patient data to build complex models for validation, providing more flexibility and reproducibility compared to animal and human trials.
SEMINARS IN RESPIRATORY AND CRITICAL CARE MEDICINE
(2022)
Article
Engineering, Industrial
Nicolas P. Campana, Manuel Iori, Mayron Cesar O. Moreira
Summary: This study proposes new algorithms for the assembly line balancing problem with hierarchical worker assignment, aiming to minimize total cost while satisfying cycle time and precedence constraints. The effectiveness of the algorithms is demonstrated through extensive computational experiments on benchmark instances.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Review
Biochemistry & Molecular Biology
Karel Allegaert, Mohammad Yaseen Abbasi, Pieter Annaert, Olusola Olafuyi
Summary: The article introduces a structured approach, physiologically based pharmacokinetic (PBPK) modeling and simulation, to inform pharmacotherapy in preterm neonates. Through a systematic search, the authors collected information on the applications and optimization efforts of PBPK software packages in preterm neonates. It is suggested that collaboration between clinicians and modelers can help improve PBPK models despite existing knowledge gaps and uncertainties in their application.
EXPERT OPINION ON DRUG METABOLISM & TOXICOLOGY
(2022)
Article
Environmental Sciences
Alice C. Forello, Ines Cunha-Lopes, Susana M. Almeida, Celia A. Alves, Oxana Tchepel, Federica Crova, Roberta Vecchi
Summary: This study presents a source apportionment study conducted in Coimbra, Portugal. The novelty lies in the methodological approach and sensitivity study, providing insights for future applications. A multi-time resolution and multi-parameter study was performed using aerosol data and high-time resolution absorption coefficients. The results can guide the implementation of optical variables and chemical ones in the same model run.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Multidisciplinary Sciences
A. V. Shumilov, P. M. Gotovtsev
Summary: This study demonstrates the application of system biology principles in the dopamine signaling pathway in neurons, presenting a model based on cytomorphic electronic circuits and mathematical modeling. The model accurately captures signal oscillations in biological systems, simplifying calculations and showing pathway dynamics effectively. The proposed changes in calcium channel functioning and the mathematical model of system component interactions align well with existing literature, supporting the validity of the findings.
Article
Engineering, Environmental
Eric Walling, Celine Vaneeckhaute
Summary: Mathematical models have been developed over the past 40 years to describe the composting process, but simple models lack generalizability and generalizable models lack simplicity, requiring information on many operating variables. This study explores novel modeling approaches that split degradation into three separate phases and only require two parameters, achieving errors between 1.13% and 6.32% and outperforming traditional first-order models in every case.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
(2021)
Article
Computer Science, Artificial Intelligence
Adalberto Sato Michels, Alysson M. Costa
Summary: Some solutions reported in a recent paper are infeasible, potentially undermining the conclusion that the best results were obtained for 75% of the 320 test instances for the ALWABP-2. This note explores the contributions of the paper, identifies infeasible solutions, and points out potential inconsistencies in the employed heuristic.
JOURNAL OF INTELLIGENT MANUFACTURING
(2021)
Article
Automation & Control Systems
Lei Chen, Xinghuo Yu, Changyin Sun
Summary: This article provides a detailed mathematical proof of the characteristic modeling approach for high-order linear dynamical systems, explaining how high-order dynamics can be compressed into lower-order characteristic models. It also investigates the relationships between high-order linear continuous dynamical systems, discrete-time characteristic model coefficients, and sampling-time intervals.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Engineering, Industrial
Xiaoliang Yan, Reed Williams, Elena Arvanitis, Shreyes Melkote
Summary: This paper extends prior work by developing a semantic segmentation approach for machinable volume decomposition using pre-trained generative process capability models, providing manufacturability feedback and labels of candidate machining operations for query 3D parts.
JOURNAL OF MANUFACTURING SYSTEMS
(2024)
Article
Engineering, Industrial
Jing Huang, Zhifen Zhang, Rui Qin, Yanlong Yu, Guangrui Wen, Wei Cheng, Xuefeng Chen
Summary: In this study, a deep learning framework that combines interpretability and feature fusion is proposed for real-time monitoring of pipeline leaks. The proposed method extracts abstract feature details of leak acoustic emission signals through multi-level dynamic receptive fields and optimizes the learning process of the network using a feature fusion module. Experimental results show that the proposed method can effectively extract distinguishing features of leak acoustic emission signals, achieving higher recognition accuracy compared to typical deep learning methods. Additionally, feature map visualization demonstrates the physical interpretability of the proposed method in abstract feature extraction.
JOURNAL OF MANUFACTURING SYSTEMS
(2024)
