Article
Mathematics, Applied
Rachid Malti, Abir Mayoufi, Stephane Victor
Summary: This paper discusses the experiment design problem in system identification, focusing on fractional models. The best input signal frequency is chosen by minimizing the D-optimality criterion of the covariance matrix. Different cases of unknown parameters are considered, and the difficulty of obtaining the optimum analytically is shown.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2022)
Article
Computer Science, Artificial Intelligence
Witold Pedrycz, Adam Gacek, Xianmin Wang
Summary: This study revisits the methodology and concepts of interpretability of Takagi-Sugeno (T-S) rule-based models, and develops a conceptual framework involving multiple levels of interpretation. By considering the relationship between fuzzy sets, information granules, and symbols, interpretable symbol-level interpretations are achieved. The study also evaluates the interpretability of rule conditions by clustering and decomposing multidimensional fuzzy sets. Experimental results show that the proposed method provides summarizations regarding the relevance of rules.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Multidisciplinary Sciences
Sylvain Coly, Myriam Garrido, David Abrial, Anne-Francoise Yao
Summary: Disease mapping utilizes Bayesian inference to determine underlying disease risk from scattered epidemiological data and represent it on a smoothed colored map. The approach has been adapted for rare infectious diseases, where local overdispersion and stronger spatial and temporal dependencies due to disease transmission are considered. The study tested Bayesian hierarchical models, including Negative Binomial distributions and spatio-temporal links, showing the relevance of Conditional AutoRegressive processes and the superiority of negative binomial models over Poisson models with Gaussian noise for handling overdispersion. Relevant maps congruent with simulated and real data concerning bovine tuberculosis were obtained.
Article
Nutrition & Dietetics
Yixing Tian, Hong Zhu, Honghua Chen
Summary: Establishing an effective choice architecture system can help improve people's ability to make better food choices. However, the impact of improving information supply on consumer preferences is still a crucial issue in China and many developing countries. This study found that presenting nutritional information, health benefit information, and/or market status quo information to consumers can increase their utility and willingness to pay. Specifically, health benefit information provided by scientific research institutions in the form of leaflets has the most significant effect on improving willingness to pay.
Article
Economics
Mihoko Wakamatsu, Shunsuke Managi
Summary: The study found that the spatial differences in knowledge do not necessarily affect the value of ecolabels for consumers willing to pay for them. Understanding the state of domestic fisheries is not more important in assigning value to sustainable domestic products than knowledge of world fisheries.
Article
Ecology
Hanna M. McCaslin, Abigail B. Feuka, Mevin B. Hooten
Summary: Bayesian hierarchical models play a crucial role in ecology, but can be computationally intensive. Recursive Bayesian computing and transformation-assisted RB methods help improve the efficiency and interpretability of Bayesian models, reducing computation time for fitting complex ecological statistical models.
METHODS IN ECOLOGY AND EVOLUTION
(2021)
Article
Telecommunications
Zijing Wang, Mihai-Alin Badiu, Justin P. Coon
Summary: This article explores the relationship between information theory and signal processing theory, revealing the connection between VoI and MSE, and providing a possible method for estimating the information value in practical applications.
IEEE COMMUNICATIONS LETTERS
(2022)
Article
Business, Finance
Mary Tian
Summary: In a novel mining experiment, many randomly constructed three-factor models were found to outperform well-known four and five-factor models, suggesting the need to raise the threshold of factor model success. Confidence intervals derived from a bootstrap simulation offer new insights into the consistency of a model's pricing ability, with rankings for some well-known models being unusually volatile.
REVIEW OF FINANCIAL STUDIES
(2021)
Article
Engineering, Mechanical
Zhonggang Wang, Yin Zhou, Xinxin Wang, Kai Wei
Summary: The reinforcement design of lightweight lattice structures using the strut-reinforced concept based on space filling has shown superior mechanical performance compared to conventional lattice structures. The specific characteristics generated by the hierarchical configuration contribute to enhanced compression behavior. The influence of geometry variations, particularly the function of struts, becomes more dominant as the diameter increases.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2021)
Article
Neurosciences
Hiroshi Makino
Summary: This study reveals that the brain is capable of composing a novel behavior by additively combining preacquired action-value representations with stochastic policies using a simple arithmetic operation. Empirical testing on mice demonstrates that subtask pretraining enhances learning of composite tasks.
NATURE NEUROSCIENCE
(2023)
Article
Biochemical Research Methods
Tapas Bhadra, Saurav Mallik, Amir Sohel, Zhongming Zhao
Summary: This article proposes a novel unsupervised feature selection method by combining hierarchical feature clustering with singular value decomposition. The experimental results demonstrate that the proposed algorithm performs well against several state-of-the-art methods of feature selection in terms of various evaluation criteria. The analysis of cancer genomics data identifies a candidate gene-marker, EREG, which is important for biomarker discovery in precision medicine.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS
(2022)
Article
Business
Volha Pashkevich, Darek M. Haftor, Natallia Pashkevich
Summary: This study comprehensively measures the information sectors of Denmark and Sweden, comparing them with the United States and South Korea. The results show that Sweden's information sector seems to be more productive than Denmark's.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2021)
Article
Physics, Multidisciplinary
M. Lagoin, C. Crauste-Thibierge, A. Naert
Summary: The experiment demonstrates a macroscopic realization of the storied Brownian ratchet, allowing measurement of all observables including useful power, heat, and efficiency. The feedback on Brownian motion facilitates the conversion of heat into work.
PHYSICAL REVIEW LETTERS
(2022)
Article
Computer Science, Information Systems
Serafin Moral, Andres Cano, Manuel Gomez-Olmedo
Summary: This paper proposes a generalization of the imprecise probability model, allowing probability intervals to be represented in a hierarchy of sets with a tree structure. It also shows how this model can represent other models, such as possibility measures and generalized p-boxes. Additionally, the paper demonstrates that the resulting model is always an order-2 capacity and that operations like coherence checking, computing the natural extension, and conditioning can be performed efficiently.
INFORMATION SCIENCES
(2023)
Article
Engineering, Civil
Lester L. Yuan
Summary: Accurate estimation of nutrient loads is crucial for managing the impact of nutrient pollution. This article proposes a method using a hierarchical statistical model to improve estimation at sparsely sampled sites, and the results show that the method significantly enhances the precision of load estimation.
JOURNAL OF HYDROLOGY
(2022)
Article
Ornithology
K. S. Gopi Sundar, John D. A. Grant, Inka Veltheim, Swati Kittur, Kate Brandis, Michael A. McCarthy, Elinor C. Scambler
EMU-AUSTRAL ORNITHOLOGY
(2019)
Article
Ecology
David P. Wilkinson, Nick Golding, Gurutzeta Guillera-Arroita, Reid Tingley, Michael A. McCarthy
METHODS IN ECOLOGY AND EVOLUTION
(2019)
Article
Ecology
Tomas Bird, Jarod Lyon, Simon Wotherspoon, Charles Todd, Zeb Tonkin, Michael McCarthy
ECOLOGY AND EVOLUTION
(2019)
Article
Multidisciplinary Sciences
Christopher F. Clements, Michael A. McCarthy, Julia L. Blanchard
NATURE COMMUNICATIONS
(2019)
Article
Ecology
Jian D. L. Yen, Josh Dorrough, Ian Oliver, Michael Somerville, Megan J. McNellie, Christopher J. Watson, Peter A. Vesk
ECOLOGICAL APPLICATIONS
(2019)
Review
Ecology
Natalie J. Briscoe, Jane Elith, Roberto Salguero-Gomez, Jose J. Lahoz-Monfort, James S. Camac, Katherine M. Giljohann, Matthew H. Holden, Bronwyn A. Hradsky, Michael R. Kearney, Sean M. McMahon, Ben L. Phillips, Tracey J. Regan, Jonathan R. Rhodes, Peter A. Vesk, Brendan A. Wintle, Jian D. L. Yen, Gurutzeta Guillera-Arroita
Article
Ecology
Jian D. L. Yen, Zeb Tonkin, Jarod Lyon, Wayne Koster, Adrian Kitchingman, Kasey Stamation, Peter A. Vesk
FRONTIERS IN ECOLOGY AND EVOLUTION
(2019)
Review
Biodiversity Conservation
J. L. Silcock, C. L. Simmons, L. Monks, R. Dillon, N. Reiter, M. Jusaitis, P. A. Vesk, M. Byrne, D. J. Coates
BIOLOGICAL CONSERVATION
(2019)
Article
Biodiversity Conservation
Inka Veltheim, Simon Cook, Grant C. Palmer, F. A. Richard Hill, Michael A. McCarthy
GLOBAL ECOLOGY AND CONSERVATION
(2019)
Article
Ecology
Kathryn Knights, Michael A. McCarthy, James Camac, Gurutzeta Guillera-Arroita
Summary: The study introduces a method to improve the efficiency of distance sampling in high density target species by measuring only a proportion of targets to model the detection function and using the saved time to cover longer total length of transect. This approach can enhance the precision of population density estimates within a fixed survey budget, and the simulations indicate that the optimized method could increase precision by 20% to 50%.
METHODS IN ECOLOGY AND EVOLUTION
(2021)
Article
Biodiversity Conservation
Cindy E. Hauser, Katherine M. Giljohann, Michael A. McCarthy, Georgia E. Garrard, Andrew P. Robinson, Nicholas S. G. Williams, Joslin L. Moore
Summary: This study investigates sources of variation in detection rate of threatened and invasive species surveys. The research finds that different flower colors and vegetation types have an impact on the detection rate of plants. Recent survey experience also improves the detection rate. These findings are important for guiding survey planning and eradication efforts.
CONSERVATION BIOLOGY
(2022)
Article
Biodiversity Conservation
Katharine L. Senior, Katherine M. Giljohann, Michael A. McCarthy, Luke T. Kelly
Summary: The study found that spatial patterns of planned burning have significant effects on reptile diversity, while mammals do not show clear relationships with fine-scale fire patterns. Retaining unburnt areas and well-connected habitat refuges is crucial for reptile diversity.
JOURNAL OF APPLIED ECOLOGY
(2023)
Article
Forestry
Liubov Volkova, Haruni Krisnawati, Muhammad A. Qirom, Wahyu C. Adinugroho, Rinaldi Imanuddin, Freddy Jontara Hutapea, Michael A. McCarthy, Julian Di Stefano, Christopher J. Weston
Summary: Tropical peat swamp forests are home to diverse plant communities and endangered species. Disturbances such as drainage, logging, and fire threaten these forests. The recovery of tree species from these threats is still not well understood. A study in Central Borneo found that after two to three decades, the richness and diversity of tree species in regenerating peat swamp forests reached similar levels to relatively undisturbed reference forests. However, across landscapes, fires occurring every 50 or 100 years can significantly reduce tree species richness and diversity. The study also identified two groups of tree species, "decreasers" and "increasers," that drove the difference in richness and diversity between disturbed and reference forests.
FOREST ECOLOGY AND MANAGEMENT
(2023)
Article
Ornithology
Inka Veltheim, Simon Cook, Michael A. McCarthy, Grant C. Palmer, F. A. Richard Hill
Summary: This study investigated the movement patterns of the Brolga, a species of crane, in southern Australia. The study found that Brolgas exhibited partial migratory behavior, with some individuals remaining resident throughout the year. Brolgas moved shorter distances during the non-breeding season. The findings of this study can contribute to local conservation planning and enhance our understanding of waterbird movements in Australia.
EMU-AUSTRAL ORNITHOLOGY
(2022)
Article
Ecology
David P. Wilkinson, Nick Golding, Gurutzeta Guillera-Arroita, Reid Tingley, Michael A. McCarthy
Summary: This study defines four different types of JSDM predictions and five classes of metrics to evaluate these predictions, showing the importance of matching prediction types and evaluation metrics with the specific research question.
METHODS IN ECOLOGY AND EVOLUTION
(2021)