Article
Engineering, Mechanical
C. Correia Ramos, Nada El Bouziani, Mouhaydine Tlemcani, Sara Fernandes
Summary: In this study, deterministic and probabilistic cellular automata are used to study and describe patterns in material blocks, with a focus on fracture-like patterns. The distribution of the internal structure is obtained using probabilistic cellular automata, and different methods of combining these patterns into a final one are discussed. Refinement techniques are introduced to improve the probability distributions and adjust the behavior of the cellular automata rules.
NONLINEAR DYNAMICS
(2023)
Article
Geosciences, Multidisciplinary
Quanli Xu, A-Xing Zhu, Jing Liu
Summary: Cellular automata is an important model for simulating land-use change. This study proposes a method for determining the cellular unit based on land natural evolutionary unit (LNU) and shows that the LNU-based cellular automata model exhibits better spatial distribution consistency, higher simulation accuracy, and lower distortion compared to regular grid cellular automata.
Article
Computer Science, Information Systems
Barbara Wolnik, Maciej Dziemianczuk, Bernard De Baets
Summary: In this paper, the authors investigate non-uniform elementary cellular automata and their relationship with number conservation. They provide a comprehensive characterization of number-conserving cellular automata on finite grids with both periodic and null boundary conditions. The obtained characterization allows for the enumeration of all number-conserving non-uniform elementary cellular automata, revealing a surprising connection to the Fibonacci sequence.
INFORMATION SCIENCES
(2023)
Article
Chemistry, Multidisciplinary
Eduardo Reck Miranda, Hari Shaji
Summary: Cellular automata are computational models that can change features in dynamic systems. Music, as an art form that organizes sounds in space and time, can be modeled using cellular automata. This paper introduces the use of partitioned quantum cellular automata (PQCA) to create original music. PQCA is implemented on quantum computers, which leverage quantum mechanics to perform computations differently.
APPLIED SCIENCES-BASEL
(2023)
Article
Ecology
Bin Zhang, Shougeng Hu, Haijun Wang, Haoran Zeng
Summary: This study proposes a size-adaptive strategy for the definition of the cellular automata (CA) neighborhood to improve the ability of CA models to simulate urban growth with spatial heterogeneity. By comparing different neighborhood definition strategies, the results show that the size-adaptive neighborhood is superior in characterizing the local interactions of urban growth and can produce more accurate simulation results. Moreover, the computational efficiency of the size-adaptive strategy is examined using serial and parallel algorithms.
LANDSCAPE AND URBAN PLANNING
(2023)
Article
Geography, Physical
Bin Zhang, Haijun Wang
Summary: This study proposes a new dual-scale neighborhood (DSN) combined with vectorization to address the contradiction in the selection of neighborhood size in cellular automata (CA) models. Experimental results show that DSN can improve simulation accuracy and computational efficiency.
GISCIENCE & REMOTE SENSING
(2021)
Article
Oncology
Guobin Liao, Jun Tang, Jianying Bai
Summary: Esophageal squamous cell carcinoma (ESCC) is a highly malignant cancer with poor prognosis, and its development is based on the classical view of cancer development from stem cell origin and multistep progression. Recent advancements in large-scale and single-cell sequencing technologies, along with transgenic lineage tracing in mouse models, have provided a more detailed understanding of the heterogeneity and early clonal evolution of esophageal stem cells and ESCC. This review discusses the potential relationship between esophageal basal-layer stem cells and cells of ESCC origin, as well as the role of NOTCH1 mutants in the early clonal evolution of ESCCs.
Review
Chemistry, Physical
Juan C. Reinoso-Burrows, Norman Toro, Marcelo Cortes-Carmona, Fabiola Pineda, Mauro Henriquez, Felipe M. Galleguillos Madrid
Summary: Cellular automata models are valuable tools for corrosion management, providing insight into the complex nature of corrosion processes and offering a predictive maintenance vision. By simulating corrosion behavior at the microscale and considering interactions between electrochemical reactions, material properties, and environmental factors, these models enhance our understanding of corrosion and assist in the development of prevention and control strategies.
Article
Materials Science, Ceramics
Dong Wang, Yifan Bai, Chao Xue, Qinghua Wang, Hongtao Yu, Zhenghu Yan
Summary: This paper constructed a mathematical model to simulate the grain evolution process of ceramic materials and investigated the effects of sintering parameters on microstructure. The simulation results showed that the grain size increased exponentially with holding time and sintering temperature, while the pores decreased gradually. Additionally, the uniformity of grain growth decreased with increasing holding time.
CERAMICS INTERNATIONAL
(2021)
Article
Engineering, Chemical
Jindong Dai, Chi Zhai, Jiali Ai, Jiaying Ma, Jingde Wang, Wei Sun
Summary: Mathematical modeling, particularly using cellular automaton, is powerful in studying the spread of infectious diseases. A model was proposed and validated using COVID-19 confirmation data from New York City and Iowa, showing different disease spread patterns in different cities. Simulation under different control strategies could provide valuable insights for decision makers in infection control measures in Iowa in the future.
Article
Acoustics
Kun Luo, Zhenguo Wang, Xiaoyan Lei
Summary: This study presents a computational technique based on cellular automata method and wave superposition principle for analyzing the sound radiation characteristics of arbitrary shape structures. Experimental verification showed the feasibility and effectiveness of the proposed method, which simplified modeling and improved calculation accuracy and efficiency compared to traditional methods.
Article
Engineering, Civil
Shuang Yao, Nengcheng Chen, Wenying Du, Chao Wang, Cuizhen Chen
Summary: A new rainfall-runoff model based on cellular automaton (RRCA) was proposed in this study, taking into account diverse urban scenarios and new transition rules, making it more accurate for flood simulation in urban environments. The model showed higher sensitivity to waterlogging levels compared to the benchmark model and assessed waterlogging impact through simulation of vegetation processes.
WATER RESOURCES MANAGEMENT
(2021)
Article
Computer Science, Interdisciplinary Applications
Wenge Que, Chuang Han, Xiliang Zhao, Li Shi
Summary: A generative model for electrocardiogram (ECG) data augmentation was established to address the problem of class imbalance in existing infarct ECG databases. The model considered the electrophysiological properties of the natural heart, the pathology of myocardial infarction, and the diversity of clinical ECGs, and can provide reliable samples for machine learning of MI.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2022)
Article
Computer Science, Information Systems
Haoran Zeng, Haijun Wang, Bin Zhang, Quan Wang
Summary: This study proposes a methodology to accurately quantify the neighborhood decay effect in CA models with large neighborhood size. By using Wuhan and Guangzhou as examples, the methodology is applied to simulate urban expansion and compare the accuracy of CA models with different neighborhood configurations. The results show that models with the hybrid neighborhood can more accurately describe the neighborhood decay effect.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
(2023)
Article
Mathematics
Lilly Maria Treml, Ezio Bartocci, Alessio Gizzi
Summary: The heart is made up of a complex network of billions of cells that propagate electrical signals in a synchronized manner to generate a heartbeat. Failure in synchronization can lead to life-threatening events. The modeling and analysis of electrophysiological properties in cardiac tissue remain a challenge due to the complexity of underlying nonlinear dynamics and numerous biological components involved.
Article
Education, Scientific Disciplines
Sylvia Claassen Enns, Bruno Perotta, Helena B. Paro, Silmar Gannam, Munique Peleias, Fernanda Brenneisen Mayer, Itamar Souza Santos, Marta Menezes, Maria Helena Senger, Cristiane Barelli, Paulo S. P. Silveira, Milton A. Martins, Patricia Zen Tempski
Article
Computer Science, Information Systems
Maria Helena Baena de Moraes Lopes, Rodrigo Jensen, Dina de Almeida Lopes Monteiro da Cruz, Fabiana Goncalves de Oliveira Azevedo Matos, Paulo Sergio Panse Silveira, Neli Regina Siqueira Ortega
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
(2013)
Article
Computer Science, Information Systems
Maria Helena Baena de Moraes Lopes, Neli Regina Siqueira Ortega, Paulo Sergio Panse Silveira, Eduardo Massad, Rosangela Higa, Heimar de Fatima Marin
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
(2013)
Letter
Geriatrics & Gerontology
Andre Filipe Junqueira dos Santos, Carolina Bisinoto Borges, Lidia Kelsin Fung, Mayra Zanetti, Pedro Kallas Curati, Vanessa Meirelles Pereira Danzini, Euro de Barros Couto Junior, Paulo Sergio Panse Silveira, Luiz E. Garcez-Leme
JOURNAL OF THE AMERICAN GERIATRICS SOCIETY
(2011)
Article
Multidisciplinary Sciences
Helena B. M. S. Paro, Paulo S. P. Silveira, Bruno Perotta, Silmar Gannam, Sylvia C. Enns, Renata R. B. Giaxa, Rosuita F. Bonito, Milton A. Martins, Patricia Z. Tempski
Article
Multidisciplinary Sciences
Patricia Tempski, Itamar S. Santos, Fernanda B. Mayer, Sylvia C. Enns, Bruno Perotta, Helena B. M. S. Paro, Silmar Gannam, Munique Peleias, Vera Lucia Garcia, Sergio Baldassin, Katia B. Guimaraes, Nilson R. Silva, Emirene M. T. Navarro da Cruz, Luis F. Tofoli, Paulo S. P. Silveira, Milton A. Martins
Article
Orthopedics
Cibele C. B. Marques da Silva, Sonia L. P. Toledo, Paulo S. P. Silveira, Celso R. F. Carvalho
BRAZILIAN JOURNAL OF PHYSICAL THERAPY
(2012)
Article
Nursing
Rodrigo Jensen, Paulo Sergio Panse Silveira, Neli Regina Siqueira Ortega, Maria Helena Baena de Moraes
INTERNATIONAL JOURNAL OF NURSING KNOWLEDGE
(2012)
Article
Anesthesiology
Ananaira Alves Goulart, Andre Lucatelli, Paulo Sergio Panse Silveira, Jose de Oliveira Siqueira, Valeria Fontanelle Angelim Pereira, Maria Jose Carvalho Carmona, Livia Stocco Sanches Valentin, Joaquim Edson Vieira
Summary: This study compared a digital game with standard neuropsychological tests to assess postoperative cognitive dysfunction. The results showed that the digital game provided scores in agreement with standardized tests for evaluating visual perception and possibly short-term memory cognitive functions. Further studies are needed to verify the correlation of other phases of the digital game with standardized tests assessing cognitive functions.
BRAZILIAN JOURNAL OF ANESTHESIOLOGY
(2022)
Article
Anesthesiology
Andre Lucatelli, Ananaira Alves Goulart, Paulo Sergio Panse Silveira, Jose de Oliveira Siqueira, Maria Jose Carvalho Carmona, Valeria Fontenelle Angelim Pereira, Livia Stocco Sanches Valentin, Joaquim Edson Vieira
Summary: This study used a digital game as a neuropsychological test to assess postoperative cognitive dysfunction and found that the game was able to detect decline in multiple cognitive functions. Due to its faster completion time compared to traditional tests, the digital game may be a recommended tool for assessing patients, especially the elderly and those in the early postoperative period.
BRAZILIAN JOURNAL OF ANESTHESIOLOGY
(2022)
Article
Psychology, Biological
Joao Lucas Bernardy, Jessica B. Santiago, Jose Oliveira Siqueira, Paulo Sergio Panse Silveira, Altay de Souza, Marcelo Frota Benvenuti
Summary: We pay tribute to Rachlin's work and emphasize the self-control and altruism involved in researching and writing for posterity. We discuss the influence of Rachlin's work on a series of seminars at the University of Sao Paulo (Brazil), which were based on his book from 1989. We present empirical exercises conducted during these seminars to illustrate Rachlin's contributions to the science of behavior.
JOURNAL OF THE EXPERIMENTAL ANALYSIS OF BEHAVIOR
(2023)
Article
Psychology, Biological
Paulo Sergio Panse Silveira, Jose de Oliveira Siqueira, Joao Lucas Bernardy, Jessica Santiago, Thiago Cersosimo Meneses, Bianca Sanches Portela, Marcelo Frota Benvenuti
Summary: We describe the mathematical functions of feedback for variable interval and variable differential reinforcement of low rates, which are solely dependent on schedule size. Using an R script called Beak, we simulated behavior rates and assessed various reinforcement feedback functions with great precision. Our results show that the best feedback function for random interval schedules was proposed by Baum (1981), while the model used by Killeen (1975) is suitable for random differential reinforcement of low rates schedules. Beak provides a foundation for a better understanding of reinforcement schedules and can guide future experiments in utilizing schedules as theoretical and methodological tools.
JOURNAL OF THE EXPERIMENTAL ANALYSIS OF BEHAVIOR
(2023)
News Item
Education, Scientific Disciplines
Joaquim Edson Vieira, Jose Oliveira Siqueira, Paulo Sergio Panse Silveira
Article
Psychology, Mathematical
Paulo Sergio Panse Silveira, Jose Oliveira Siqueira
Summary: In this study, we assessed several agreement coefficients applied in 2x2 contingency tables commonly used in research using dichotomization. We developed a general method to evaluate any estimator candidate for agreement measurement and found that Cohen's kappa is a measurement of association while McNemar's chi-squared cannot assess association or agreement. We concluded that Holley and Guilford's G and Gwet's AC1 are the two authentic agreement estimators with the best performance over a range of table sizes.
BEHAVIOR RESEARCH METHODS
(2023)
Article
Social Sciences, Interdisciplinary
Paulo Sergio Panse Silveira, Jose Oliveira Siqueira
Summary: Histograms and coefficient of variation are popular summary statistics, but have limitations such as not reflecting probability distribution properly and not being a true measure of relative variability. Density plots and Eisenhauer's relative dispersion coefficient are suggested as better alternatives to address these issues.
QUANTITATIVE METHODS FOR PSYCHOLOGY
(2022)