Article
Physics, Multidisciplinary
Luca Spolladore, Michela Gelfusa, Riccardo Rossi, Andrea Murari
Summary: The study suggests that in complex systems and highly correlated variables, the proposed versions of model selection criteria outperform the traditional ones.
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
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
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
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
Acoustics
Okon Johnson Esua, Da-Wen Sun, Clement Kehinde Ajani, Jun-Hu Cheng, Kevin M. Keener
Summary: The combination of UPFB technology combining ultrasound with plasma functionalized buffer was more effective in inactivating Escherichia coli and Listeria monocytogenes. Non-linear models, particularly the biphasic model, demonstrated superior performance in describing the inactivation kinetics. This study provided valuable insights for the evaluation of decontamination methods.
ULTRASONICS SONOCHEMISTRY
(2022)
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
Marine & Freshwater Biology
Orlando Lam-Gordillo, Marco Antonio May-Ku, Pedro-Luis Ardisson
Summary: Due to anthropogenic pressures, there has been an increased interest in understanding the relationship between species and their environment in order to mitigate the global loss of biodiversity. However, there is still limited knowledge about this relationship, especially for small non-commercial species. This study focuses on documenting the environmental variables that influence the abundance of rare frog crab species in the southwest Gulf of Mexico. The results show that depth, salinity, temperature, and sediment composition are the most influential factors affecting the abundance of these frog crab species.
ESTUARINE COASTAL AND SHELF SCIENCE
(2022)
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
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
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
Engineering, Multidisciplinary
Veronica Carrillo, Daniel Mendoza, John Petrie, Pedro Matovelle, Sebastian Torres, Esteban Pacheco, Felipe Cisneros, Luis Timbe
Summary: The bedload transport rates for high-gradient gravel bed rivers were studied using a physical model, and the best predictors were identified through stepwise regression analysis. The potential model for d(84) was selected as the representative model for further analysis.
ALEXANDRIA ENGINEERING JOURNAL
(2022)
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
Virology
Gideon J. Mordecai, Emiliano Di Cicco, Oliver P. Gunther, Angela D. Schulze, Karia H. Kaukinen, Shaorong Li, Amy Tabata, Tobi J. Ming, Hugh W. Ferguson, Curtis A. Suttle, Kristina M. Miller
Summary: This study identified several viral pathogens in farmed Atlantic and Chinook salmon, including two previously uncharacterized viruses and three putative novel viruses through the application of salmon host transcriptional biomarkers and metatranscriptomic sequencing. High-throughput RT-PCR screening of over 9,000 farmed and wild salmon revealed the widespread presence of these viruses, with some showing a broad host range. Additionally, in situ hybridization showed differing cell tropism for each virus tested, highlighting the importance of continual surveillance of emerging viruses for the management of aquaculture and wild resources.
Article
Biotechnology & Applied Microbiology
Julia A. Gustavsen, Curtis A. Suttle
Summary: This study revealed that the composition of marine viral assemblages undergoes significant changes over time and is laggedly correlated with the resemblance of potential hosts, indicating the influence of viruses on host communities. The dominant clusters of phylogenetically related viruses shift over time, reflecting ecological dynamics within these clusters. The temporal shuffling of viral genotypes primarily occurs within a few subsets of related individuals, suggesting a common structure in natural viral assemblages.
APPLIED AND ENVIRONMENTAL MICROBIOLOGY
(2021)
Article
Microbiology
Ruba Abdulrahman Ashy, Curtis A. Suttle, Susana Agusti
Summary: Research in the Red Sea showed that despite being perceived as stable, warm, and saline, relatively modest changes in seasonal conditions led to significant fluctuations in the diversity of lysogeny.
Article
Environmental Sciences
Gema L. Batanero, Andy J. Green, Juan A. Amat, Marion Vittecoq, Curtis A. Suttle, Isabel Reche
Summary: Coastal wetlands are valuable aquatic ecosystems with high productivity that provide important services, but are at risk of salinization due to predicted rise of sea level and freshwater extractions. Salinization may shift microbial activity from heterotrophic bacterial-dominated processes towards archaeal-dominated processes, influenced by factors like nitrogen concentration, salinity, and virus abundance. More research is needed to accurately predict future scenarios in coastal wetlands.
Article
Fisheries
Jacob E. Lerner, Christian Marchese, Brian P. Hunt
Summary: In coastal marine food webs, food chain length and trophic level distribution are crucial elements of ecosystem-based management. This study evaluates the hypothesis that high primary production leads to lower trophic levels and shorter food chain length in British Columbia coast. The results support this hypothesis, showing a significant inverse relationship between primary production and food chain length as well as trophic level.
ICES JOURNAL OF MARINE SCIENCE
(2022)
Article
Ecology
Kevin Xu Zhong, Jennifer F. Wirth, Amy M. Chan, Curtis A. Suttle
Summary: Microbial lysis plays a significant role in the dynamic changes of marine microbial communities. The study found that high relative lysis rates are associated with copiotrophic bacteria, while low lysis rates are more common in abundant taxa.
Article
Marine & Freshwater Biology
Rose-Lynne Savage, Jacqueline L. Maud, Colleen T. E. Kellogg, Brian P. Hunt, Vera Tai
Summary: The eukaryotic microbiomes of dominant crustacean zooplankton from the Strait of Georgia were characterized using metabarcoding. Alveolates, predominantly ciliates and dinoflagellates, were found to be the dominant protists in all examined zooplankton. Symbiont lineages showed host preference, with Pseudocolliniidae ciliate parasites being associated with ostracods. Free-living protists, including diatoms and hydrozoans, were inferred to be part of the zooplankton diet, suggesting an underestimated pathway of carbon cycling.
JOURNAL OF PLANKTON RESEARCH
(2023)
Article
Microbiology
Jan F. Finke, Colleen T. E. Kellogg, Curtis A. Suttle
Summary: Deep6 is a deep learning model that accurately classifies short metatranscriptomic sequences into prokaryotes, eukaryotes, or viral realms, without the need for reference or alignment. The average accuracies range from 0.87 to 0.97, depending on the length of the sequences.
MICROBIOLOGY RESOURCE ANNOUNCEMENTS
(2023)
Article
Microbiology
Kevin Xu Zhong, Amy M. Chan, Anwar Al-Qattan, Yueang Li, Curtis A. Suttle
Summary: Vibrio natriegens strain PWH3a, isolated from the Texas Gulf Coast, is a model organism in marine microbiology with two circular chromosomes, 4,650 coding sequences, 34 rRNA, 4 noncoding RNA (ncRNA), 131 tRNA genes, and one Mu-like prophage sequence.
MICROBIOLOGY RESOURCE ANNOUNCEMENTS
(2023)
Article
Multidisciplinary Sciences
Jacob E. Lerner, Brian P. V. Hunt
Summary: The decline in the population of southern resident killer whales in British Columbia, Canada, is linked to a decrease in the number and size of their preferred prey, Chinook salmon. This study found that the energy density of Chinook salmon varies among different populations, which is an important factor in assessing prey quality and its impact on killer whale declines.
SCIENTIFIC REPORTS
(2023)
Article
Microbiology
Tianyi E. Chang, Brian P. V. H. Hunt, Junya E. Hirai, Curtis H. Suttle
Summary: Sea lice, major ectoparasites of fish, have significant impacts on both wild and farmed fish. This study analyzed transcriptomes and small RNAs of sea lice, and identified 32 previously unknown RNA viruses. These findings greatly expand our knowledge of viral diversity in copepods and provide evidence of virus transmission between arthropods and other eukaryotes over evolutionary time.
Article
Ecology
Jessica Schaub, Anna K. McLaskey, Ian Forster, Brian P. V. Hunt
Summary: This study aimed to investigate the nutritional value of jellyfish and its relationship with size and diet. The results showed that jellyfish had low nutritional value and it varied with size. The study also found that the nutritional quality of jellyfish was related to their diet.
Review
Microbiology
Alastair J. Roberts, Curtis A. Suttle
Summary: The diversity of viruses in crustacean zooplankton is enormous, including members of all realms of RNA viruses and single- and double-stranded DNA viruses. Viral infection is likely responsible for a significant portion of unexplained non-consumptive mortality in this group, affecting food webs and biogeochemical cycling. Additionally, zooplankton can transmit economically devastating viruses of finfish and other crustaceans.
Article
Multidisciplinary Sciences
Jessica Garzke, Ian Forster, Sean C. Godwin, Brett T. Johnson, Martin Krkosek, Natalie Mahara, Evgeny A. Pakhomov, Luke A. Rogers, Brian P. Hunt
Summary: This study examined the body and nutritional condition of juvenile sockeye salmon migrating through oceanographically variable waters in British Columbia. The results showed that changes in food quality were a major factor influencing the condition of the salmon.