Article
Engineering, Multidisciplinary
Hong Xu, Li Jie
Summary: In this study, a typhoon hazard assessment method is proposed, which integrates a nonlinear three-dimensional wind field model and a probability density evolution method. The accuracy of the wind field model is demonstrated through a comparison between the simulated and observed wind histories of Typhoon Hagupit. The probability density evolution method is used to calculate the propagation of randomness in the typhoon surface wind. The reliability of this method is verified by comparing the results with Monte Carlo simulations. The proposed method provides a reasonable probabilistic model for assessing structural reliability and improving community resilience in typhoon-prone areas.
SCIENCE CHINA-TECHNOLOGICAL SCIENCES
(2023)
Article
Engineering, Environmental
Mi Tian, Lihua Li, Zimin Xiong
Summary: This paper proposes a data-driven method to predict the runout of debris flows by integrating multivariate adaptive regression splines (MARS) and Akaike information criterion (AIC) without assuming input parameters and specific function relationships. Results show that the developed method can select the most appropriate MARS models for the debris-flow runout in the study area, with higher prediction accuracy compared to previous empirical correlations.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2022)
Article
Astronomy & Astrophysics
Jing Niu, Tong-Jie Zhang
Summary: This study compares the significance of the traditional combined method and Linder's joint method in constraining the density parameter QM. The results show that Linder's joint method is more significant than the traditional combined method.
PHYSICS OF THE DARK UNIVERSE
(2023)
Article
Computer Science, Hardware & Architecture
Mi Zichuan, Saddam Hussain, Zubair Ahmad, Omid Kharazmi, Zahra Almaspoor
Summary: Statistical distributions are important in medical sciences, especially for modeling right-skewed data sets. A new family of distributions, the generalized-X family, has been proposed in this study, with a focus on the generalized-Weibull distribution. The performance of the proposed model is evaluated through Monte Carlo simulation and comparison of goodness of fit.
COMPUTER SYSTEMS SCIENCE AND ENGINEERING
(2021)
Article
Computer Science, Information Systems
Masoud Fazlalipour Miyandoab, Parviz Nasiri, Ali M. Mosammam
Summary: Recognizing and presenting the appropriate statistical model for time series data is crucial. The Auto Regressive Fractionally Integrated Moving Average (ARFIMA) model is widely used in analyzing economic, meteorological, geographical, and financial data. Parameters of this model, as well as other time series models, are estimated by assuming a constant average. This article introduces Bayesian estimation for the fractional difference parameter (d) in the ARFIMA model, considering an appropriate prior distribution. Simulation and Akaike information criterion (AIC) demonstrate the superior performance of Bayesian estimation compared to other methods. The goodness of fit of the ARFIMA model is evaluated using Bayesian estimation of parameters with a real data set.
INFORMATION SCIENCES
(2023)
Article
Mathematics
Nitzan Cohen, Yakir Berchenko
Summary: This article proposes a new approach that enables the use of classic information criteria for model selection with missing data by normalizing the information criteria theory, which is found to be exponentially better in computational complexity than traditional imputation methods, leading to increased statistical efficiency.
Article
Energy & Fuels
Reza Najafi-Silab, Aboozar Soleymanzadeh, Parvin Kolah-Kaj, Shahin Kord
Summary: Many studies have focused on estimating fluid saturation, an important petrophysical property, in hydrocarbon reservoirs. The cementation factor (m) plays a crucial role in accurately determining water saturation based on Archie's law. This study presents a fast automated version of the electrical quality index (EQI) methodology, using a Gaussian mixture model (GMM) to cluster rock samples into distinct electrical rock types (ERTs) based on EQI values.
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY
(2023)
Article
Astronomy & Astrophysics
Aishwarya Bhave, Soham Kulkarni, Shantanu Desai, P. K. Srijith
Summary: This article investigates the classification problem of Gamma-Ray Bursts (GRBs) using a two-dimensional approach combining GRB hardness and duration. The analysis reveals the existence of two or three distinct classes, depending on the dataset and the information theory criteria.
ASTROPHYSICS AND SPACE SCIENCE
(2022)
Article
Multidisciplinary Sciences
Meryem Bekar Adiguzel, Mehmet Ali Cengiz
Summary: Multivariate Adaptive Regression Splines (MARS) is a non-parametric regression analysis method that is useful for model selection in high-dimensional data. It has the advantage of identifying and modeling complex, non-linear relationships between variables without requiring assumptions, as well as automatically selecting variables to simplify the model building process and prevent overfitting.
Article
Food Science & Technology
Jonas Steenholdt Sorensen, Sofie Rugh van Reeuwijk, Roy S. Bartle, Lisbeth Truelstrup Hansen
Summary: The processing of seaweed often involves low-temperature drying to stabilize the product by inactivating and inhibiting the growth of microorganisms. However, Salmonella can survive dry conditions and persist in low-moisture food, which has been linked to foodborne outbreaks from seaweed. This study presents drying and desorption models for Alaria esculenta and a model for the inactivation kinetics of S. Typhimurium during low heat convection drying.
LWT-FOOD SCIENCE AND TECHNOLOGY
(2023)
Article
Psychology, Mathematical
Han Du, Brian Keller, Egamaria Alacam, Craig Enders
Summary: In this article, the DIC and WAIC criteria, widely used for Bayesian model assessment and comparison in Bayesian statistics, are studied. Different types of DIC and WAIC are compared using a multilevel mediation model as an example. The performance of conditional and marginal DICs and WAICs, as well as their performance with missing data, are investigated. The study finds that the marginal likelihood based DIC2, which excludes the likelihood of covariate models, generally has the highest true model selection rates.
BEHAVIOR RESEARCH METHODS
(2023)
Article
Public, Environmental & Occupational Health
Anayochukwu Edward Anyasodor, Ezekiel Uba Nwose, Phillip Taderera Bwititi, Ross Stuart Richards
Summary: By combining biochemical and anthropometric parameters and orodental disease indicators, prediction models can effectively predict diabetes, which is advantageous in terms of health economics. The study also found that the cost of general diabetes screening in rural communities is relatively high.
FRONTIERS IN PUBLIC HEALTH
(2022)
Article
Engineering, Multidisciplinary
Boyao Zhang, Yonghao Miao, Jing Lin, Zongyang Liu
Summary: This study proposes a new two-stage strategy to reduce fault-excited repetitive transients and eliminate in-band interference. In the first stage, a dichotomy-based AIC picker is used to determine spectral segmentation points and design filter banks. In the second stage, the filter characteristics are finely tuned to enrich fault-related signatures and suppress in-band interferences. This two-stage strategy provides health information with a high signal-to-noise ratio about the monitoring bearing system.
Article
History & Philosophy Of Science
Alireza Fatollahi
Summary: There has been a lively debate in the philosophy of science regarding predictivism, with the argument that successful predictions provide stronger evidence for a theory than mere accommodation of the same data. The author presents a strong version of predictivism, drawing on statistical results from the model selection problem. By highlighting the inverse relationship between the support for a hypothesis and the number of adjustable parameters in the model, the author argues that when data can be predicted, the model associated with the hypothesis has fewer adjustable parameters compared to when the data needs to be accommodated.
EUROPEAN JOURNAL FOR PHILOSOPHY OF SCIENCE
(2023)
Article
Green & Sustainable Science & Technology
Daniel Plekhov, Thomas P. Leppard, John F. Cherry
Summary: This study assesses the impact of various environmental and geographic variables on the long-term sustainability of human settlement on islands, finding that area is the primary factor affecting sustainability of hunter-gatherer island settlement, while NPP and area play important roles in agropastoral island settlement.
Article
Biodiversity Conservation
Jonatan Rodriguez, Adolfo Cordero-Rivera, Luis Gonzalez
Summary: The presence of the invasive plant Carpobrotus edulis has altered herbivore communities by changing plant-herbivore interactions and increasing the abundance of herbivores in invaded coastal sites. Native snails have been found to damage the flowers of C. edulis, potentially reducing its seed production. Understanding the impacts of introduced species on invertebrate communities is crucial for effective long-term management strategies to mitigate biodiversity loss.
BIOLOGICAL INVASIONS
(2021)
Article
Entomology
Maria Olalla Lorenzo-Carballa, Rosser W. Garrison, Andrea C. Encalada, Adolfo Cordero-Rivera
Summary: This study used molecular and morphological analyses to determine the specific identity of dragonflies in the Galapagos Islands, identifying them as a continental species Tramea calverti rather than the previously considered T. cophysa. This shows that the species named after Darwin is a valid species inhabiting both the Galapagos islands and continental America.
Article
Evolutionary Biology
Dalia Ivette Galicia-Mendoza, Iago Sanmartin-Villar, Oscar Garcia-Miranda, Adolfo Cordero-Rivera
Summary: The study found that territorial damselflies are larger, and ordinary least squares and reduced major axis regressions provided different results in some analyses. Aggressive species have less steep allometric slopes than non-aggressive species.
BIOLOGICAL JOURNAL OF THE LINNEAN SOCIETY
(2021)
Article
Biology
Juan R. Coca, Alberto Soto, Cristina Mesquita, Rui Pedro Lopes, Adolfo Cordero-Rivera
Summary: The study proposes a comprehensive biosociological framework to enhance understanding of the evolution of social niche construction, while also aiding in explaining the concepts of sociotype in non-human organisms and various aspects of social or presocial behavior through the concept of ethodiversity.
Editorial Material
Biodiversity Conservation
A. Cordero-Rivera, R. Roucourt Cezario, R. Guillermo-Ferreira, V. Marques Lopez, I. Sanmartin-Villar
Summary: The paper by Bramble argues for the moral right to act to minimize the pain and fear inflicted by predators on their prey, proposing two alternative solutions: genetically modifying predators into herbivores or painlessly killing them. However, these alternatives are deemed nonsensical not only scientifically, but also ethically.
ANIMAL BIODIVERSITY AND CONSERVATION
(2021)
Article
Environmental Sciences
Freya Addison, Thomas Dally, Elizabeth J. Duncan, James Rouse, William L. Evans, Christopher Hassall, Ryan R. Neely
Summary: In this study, electromagnetic modelling was used to investigate the radar cross section (RCS) of a volant animal. High-resolution modelling of insects was found to have advantages over previous ellipsoidal models, and the composition of wings and separation of body, wings, legs, and antennae were found to impact the RCS of the specimen.
Article
Zoology
Iago Sanmartin-Villar, Xin Yu, Adolfo Cordero-Rivera
Summary: Population structure affects individuals' interactions and trade-offs, and male-biased populations tend to increase intrasexual competition and reduce female resource acquisition. This study found that under male-biased conditions, mating duration increased in males but resource acquisition and fertility decreased in females. The offspring of females exposed to male-biased conditions showed greater differences in exploration behavior.
Editorial Material
Ecology
Phillip C. Watts, Tapio Mappes, Eugene Tukalenko, Timothy A. Mousseau, Zbyszek Boratynski, Anders P. Moller, Anton Lavrinienko
Summary: This study used amplicon sequencing to analyze the gut microbiota and mycobiota composition of rodents inhabiting the Chernobyl Exclusion Zone, investigating the potential effects of exposure to radionuclides. However, due to the limitations in sample type and data analysis, the conclusions regarding the gut mycobiota composition are not accurate.
JOURNAL OF ANIMAL ECOLOGY
(2022)
Article
Biodiversity Conservation
M. Olalla Lorenzo-Carballa, Iago Sanmartin-Villar, Adolfo Cordero-Rivera
Summary: Despite technological progress, taxonomical issues remain for certain species in remote and understudied areas. A study on the damselfly species Ischnura aurora examined morphological and genetic differences between Asian and Australo-Pacific forms, and identified two taxonomic units and a potential third unit. The study highlights the importance of linking DNA sequence data with voucher specimens and careful examination of DNA sequence data in taxonomical studies.
Article
Ecology
Ilze Brila, Anton Lavrinienko, Eugene Tukalenko, Eva R. R. Kallio, Tapio Mappes, Phillip C. C. Watts
Summary: This study examined the effects of four systemic pathogens and coinfections on the gut microbiota of wild bank voles. The results showed that coinfections have different effects on gut microbiota compared to single pathogen infections, and each pathogen has distinct associations with the gut microbiota. The study emphasizes the importance of considering the impact of coinfections on pathogen-microbiota associations.
JOURNAL OF ANIMAL ECOLOGY
(2023)
Article
Ecology
Oloyede A. Adekolurejo, Matthew Floyd, Alison M. Dunn, Paul Kay, Andrew P. Dean, Christopher Hassall
Summary: The combined effects of increased water temperature and microcystin concentrations as co-stressors on survival and ecological processes in freshwater species are unclear. We tested the individual and combined effects of three water temperatures and a range of microcystin and crude extract concentrations on survival, growth inhibition, grazing and predation rates in three freshwater species. Our findings highlight the importance of complex ecological mechanisms by which warming can exacerbate toxic effects of cyanobacterial bloom extracts on survival and functions among species in eutrophic freshwaters.
Article
Ecology
Anais Rivas-Torres, Viviana Di Pietro, Adolfo Cordero-Rivera
Summary: In some species, males use weapons to harm females, but females of the damselfly Enallagma cyathigerum have developed a genital adaptation in the form of a vulvar spine. This spine is not harmful to the male, but rather it stimulates males to increase their investment in copulation. The presence of the spine allows females to control the duration of copulation.
Article
Biology
Benjamin Pile, Daniel Warren, Christopher Hassall, Lee E. Brown, Alison M. Dunn
Summary: Climate warming and invasive species can impact the key process of shredding and survival in freshwater ecosystems. Increasing temperature can initially enhance shredding rates, but excessive temperature can decrease it. Invasive species can process more leaf litter, but excessive resource consumption may have negative consequences for ecosystem function.
Article
Entomology
Cornelio A. Bota-Sierra, Camilo Florez-V, Federico Escobar, Juliana Sandoval-H, Rodolfo Novelo-Gutierrez, Gustavo A. Londono, Adolfo Cordero-Rivera
Summary: Forests in tropical mountains are crucial habitats for odonate biodiversity. Odonate assemblages in the Tatama Mountains in Colombia showed highest richness at lower elevations, with a higher number of endemic species in forests. Richness and endemism decreased with elevation, while forest odonates had narrower elevation ranges.
INTERNATIONAL JOURNAL OF ODONATOLOGY
(2021)
Letter
Microbiology
Anton Lavrinienko, Tiffany Scholier, Scott T. Bates, Andrew N. Miller, Phillip C. Watts
Summary: Research has shown that the mycobiota in the gastrointestinal tract of wild animals plays an important role in host health. However, many studies do not differentiate between resident and non-resident gut fungi, which could hinder the identification of processes related to authentic gut mycobiota. Therefore, it is necessary to filter the taxa in apparent gut mycobiota based on evaluations of host ecology and fungal traits to better understand the causes and consequences of variations in wild animal gut mycobiota composition.