Article
Multidisciplinary Sciences
Jose Americo Nabuco Leva Ferreira de Freitas, Oliver Bischof
Summary: Cellular senescence is a cell fate that is influenced by various cellular stresses and is accompanied by significant changes in gene expression. However, understanding the gene regulatory network (GRN) governing senescence is still challenging.
Article
Limnology
Ben A. Wasserman, Tanya L. Rogers, Stephan B. Munch, Eric P. Palkovacs
Summary: Population abundance fluctuations in interacting species can be influenced by abiotic factors, biotic interactions, or a combination of both. Nonlinear relationships make it difficult to identify the true effects of these drivers. This study used empirical dynamic modeling to investigate the species interaction between two fish species in a fluctuating environment. The results showed that competition was not a significant factor, and both species largely responded independently to abiotic conditions. The study highlights the importance of understanding drivers of population abundance and informing management strategies for endangered species.
LIMNOLOGY AND OCEANOGRAPHY
(2022)
Article
Biotechnology & Applied Microbiology
Guanchao Feng, Cassandra Heiselman, J. Gerald Quirk, Petar M. Djuric
Summary: During labor, fetal heart rate (FHR) and uterine activity (UA) can be continuously monitored using Cardiotocography (CTG). Machine learning methods have been used to analyze CTG recordings and assess fetal well-being. This study proposes a Bayesian nonparametric approach for modeling intrapartum CTG recordings and reveals causal relationships between FHR and UA signals.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Zeyu Huang, Jose Rodriguez-Pineiro, Tomas Dominguez-Bolano, Xuesong Cai, Xuefeng Yin
Summary: With the decrease in size and cost, unmanned aerial vehicles have become more feasible for general-purpose applications in recent years. This study introduces a MPC tracking algorithm for analyzing A2G data, and proposes a time-varying statistical channel model for A2G communications in realistic suburban scenarios.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Lujia Wang, Lijun Zhou, Qiuyue Zhu, Xue Hu, Dongyang Wang, Haitao Yang
Summary: A dynamic thermal network model was proposed for the winding domain inside OBTT, which introduced distributed thermal capacitance to reflect heat storage. The thermal resistance of stagnant oil was first modeled to describe heat transfer near boundary layers. The proposed model was validated with CFD simulation and temperature-rise test, based on a real disk-type winding geometry from a 6.3-MVA OBTT. The model can be used for design optimization and dynamic thermal rating.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2023)
Article
Mathematics
Diana T. Pham, Zdzislaw E. Musielak
Summary: The article presents the establishment of Lagrangian formalism based on standard Lagrangians for selected population dynamics models, characterized by kinetic and potential energy-like terms. A general method for constructing such Lagrangians is developed, with specific applications and comparisons to previously found Lagrangians. The derived standard Lagrangians are shown to provide insights into the oscillatory behavior and period of the models, with potential ecological and environmental implications, as well as other physical and biological insights.
Review
Energy & Fuels
Seyed Mohsen Hosseini, Reza Shirmohammadi, Alibakhsh Kasaeian, Fathollah Pourfayaz
Summary: This article explores the role of BIM in incorporating dynamic thermal simulation into building design processes. BIM is presented as an effective solution to the linear nature of conventional building design, facilitating the inclusion of dynamic thermal simulations. The article reviews the advantages and disadvantages of both traditional and BIM-based approaches, highlighting the benefits of using BIM tools for dynamic thermal performance and comfort analysis.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Biotechnology & Applied Microbiology
Carlos Eduardo Robles-Rodriguez, Ewa Szymanska, Thom Huppertz, Leyla Ozkan
Summary: This paper explores the pH dynamics in milk acidification and develops a mathematical model to predict the partitioning of calcium and phosphates during yogurt manufacturing. The model can be used not only for product design recommendations but also for optimization problems.
FOOD AND BIOPRODUCTS PROCESSING
(2021)
Review
Biochemistry & Molecular Biology
Laurence Calzone, Vincent Noel, Emmanuel Barillot, Guido Kroemer, Gautier Stoll
Summary: Due to experimental technologies and data accumulation, biological and molecular processes can be described as complex networks of signaling pathways. Mathematical models, such as MaBoSS, help to interpret experimental observations and anticipate responses to external interventions. This review presents different frameworks for modeling signaling pathways and introduces MaBoSS and its extensions for modeling cell populations and spatial distributions. Practical applications to cancer biology and immune response studies are also discussed.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL
(2022)
Article
Engineering, Mechanical
Deniz Bilgili, Erhan Budak, Yusuf Altintas
Summary: This paper proposes a computationally efficient multibody dynamic model to predict the pose-dependent dynamics of a five-axis machine tool. The model reduces the number of unknowns and computation time by using a Jacobian-based kinematics formulation and vibration mode identification method.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Multidisciplinary Sciences
Lee J. Mason, Amy Berrington de Gonzalez, Montserrat S. Garcia-Closas, Stephen Chanock, Blanaid Hicks, Jonas Almeida
Summary: This paper introduces EpiForecast, a tool that performs interpretable, non-mechanistic forecasts using interactive visualization and a simple, data-focused forecasting technique. EpiForecast's primary feature is a four-plot interactive dashboard which displays a variety of information to help the user understand how the forecasts are generated.
Article
Mathematics, Applied
Bree Cummins, Marcio Gameiro, Tomas Gedeon, Shane Kepley, Konstantin Mischaikow, Lun Zhang
Summary: Understanding the impact of within-system interactions on system dynamics is crucial in various scientific fields. We have expanded DSGRN, a network dynamics modeling platform, to include new types of interactions, allowing for a more accurate representation of network dynamics.
SIAM JOURNAL ON APPLIED DYNAMICAL SYSTEMS
(2022)
Article
Acoustics
Hongxu Tian, Haixu Wang, Xiaoyu Zhao, Hui Ma
Summary: This paper establishes a dynamic model of Geared turbofan (GTF) star gear-rotor coupling system, considering the flexibility of various components. The study finds that structural flexibility significantly affects the modal characteristics of the system. The counter-rotating between the low-pressure rotor and the fan rotor results in frequency veering, and low frequency excitation at star gear train can cause resonant vibration of the rotor.
JOURNAL OF SOUND AND VIBRATION
(2023)
Article
Ecology
Bethany Johnson, Stephan B. Munch
Summary: Empirical dynamic modeling (EDM) is a powerful method for forecasting and analyzing nonlinear dynamics. However, in ecology, where data are often missing or irregularly sampled, standard approaches for handling irregularity in EDM face challenges. This study introduces a variable step-size extension of EDM which incorporates the temporal spacing between samples and successfully copes with missing or irregular samples. The evaluation of the method using simulated and empirical datasets demonstrates its effectiveness in producing accurate forecasts.
ECOLOGICAL MODELLING
(2022)
Article
Computer Science, Software Engineering
Hiroaki Natsukawa, Ethan R. Deyle, Gerald M. Pao, Koji Koyamada, George Sugihara
Summary: The use of observational time series data to understand relationships between variables and gain mechanistic insights into underlying rules is crucial in scientific inquiry across disciplines. Relationships between variables in real systems, such as those in ecology, are dynamic and change nonlinearly or state-dependently. By integrating methods that appropriately characterize these dynamics and visualization techniques, like empirical dynamic modeling (EDM) and dynamic graphs, a better understanding and interpretation of system states can be achieved.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Limnology
Emma R. Moffett, Henry K. Baker, Christine C. Bonadonna, Jonathan B. Shurin, Celia C. Symons
Summary: Road salt runoff causes salinization of freshwaters, with significant impacts on aquatic species. The experiment revealed that salt addition increased zooplankton biomass and reduced phytoplankton biomass. Zooplankton showed a salt-limited response at low ionic concentrations, and salinity primarily affected phytoplankton biomass through top-down regulation by grazers.
LIMNOLOGY AND OCEANOGRAPHY LETTERS
(2023)
Article
Multidisciplinary Sciences
William D. Hintz, Shelley E. Arnott, Celia C. Symons, Danielle A. Greco, Alexandra McClymont, Jennifer A. Brentrup, Miguel Canedo-Arguelles, Alison M. Derry, Amy L. Downing, Derek K. Gray, Stephanie J. Melles, Rick A. Relyea, James A. Rusak, Catherine L. Searle, Louis Astorg, Henry K. Baker, Beatrix E. Beisner, Kathryn L. Cottingham, Zeynep Ersoy, Carmen Espinosa, Jaclyn Franceschini, Angelina T. Giorgio, Norman Gobeler, Emily Hassal, Marie-Pier Hebert, Mercedes Huynh, Samuel Hylander, Kacie L. Jonasen, Andrea E. Kirkwood, Silke Langenheder, Ola Langvall, Hjalmar Laudon, Lovisa Lind, Maria Lundgren, Lorenzo Proia, Matthew S. Schuler, Jonathan B. Shurin, Christopher F. Steiner, Maren Striebel, Simon Thibodeau, Pablo Urrutia-Cordero, Lidia Vendrell-Puigmitja, Gesa A. Weyhenmeyer
Summary: Human-induced salinization poses a major threat to freshwater ecosystems. Current water quality guidelines are insufficient to protect lake food webs. New guidelines are urgently needed to safeguard lake ecosystems.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Limnology
Marie-Pier Hebert, Celia C. Symons, Miguel Canedo-Arguelles, Shelley E. Arnott, Alison M. Derry, Vincent Fugere, William D. Hintz, Stephanie J. Melles, Louis Astorg, Henry K. Baker, Jennifer A. Brentrup, Amy L. Downing, Zeynep Ersoy, Carmen Espinosa, Jaclyn M. Franceschini, Angelina T. Giorgio, Norman Gobeler, Derek K. Gray, Danielle Greco, Emily Hassal, Mercedes Huynh, Samuel Hylander, Kacie L. Jonasen, Andrea Kirkwood, Silke Langenheder, Ola Langvall, Hjalmar Laudon, Lovisa Lind, Maria Lundgren, Alexandra McClymont, Lorenzo Proia, Rick A. Relyea, James A. Rusak, Matthew S. Schuler, Catherine L. Searle, Jonathan B. Shurin, Christopher F. Steiner, Maren Striebel, Simon Thibodeau, Pablo Urrutia Cordero, Lidia Vendrell-Puigmitja, Gesa A. Weyhenmeyer, Beatrix E. Beisner
Summary: This study conducted a large-scale mesocosm experiment across multiple sites in North America and Europe to investigate the response of lake zooplankton communities to varying chloride concentrations. The findings suggest that crustaceans are more sensitive to elevated chloride levels than rotifers, and that there is a consistent decrease in abundance and taxon richness with increasing salinity across different taxonomic groups. However, functional diversity shows a weaker loss compared to taxonomic diversity.
LIMNOLOGY AND OCEANOGRAPHY LETTERS
(2023)
Article
Ecology
Zachary T. Wood, Laura K. Lopez, Celia C. Symons, Rebecca R. Robinson, Eric P. Palkovacs, Michael T. Kinnison
Summary: Phenotypic trait differences among populations can shape ecological outcomes, but these differences are often unrelated to ancestral predator environment. Trait variation is influenced by gene-by-environment interactions, and variations in multiple traits can have significant effects on cascading ecological interactions, although these effects are typically weaker than density.
AMERICAN NATURALIST
(2022)
Review
Ecology
Samuel S. Urmy, Alli N. Cramer, Tanya L. Rogers, Jenna Sullivan-Stack, Marian Schmidt, Simon D. Stewart, Celia C. Symons
Summary: Spatial heterogeneity is common in ecosystems, but large-scale models still use spatially averaged 'mean fields' to represent populations. A conceptual paper introduced a heuristic to characterize patchy ecological interactions and determine when mean-field assumptions are valid.
Article
Ecology
Chelsea J. Little, Matteo Rizzuto, Thomas M. Luhring, Julia D. Monk, Robert J. Nowicki, Rachel E. Paseka, James C. Stegen, Celia C. Symons, Frieda B. Taub, Jian D. L. Yen
Summary: Fluxes of matter, energy, and information contribute to the functioning and stability of ecosystems. The meta-ecosystem framework has focused on energy and matter, but has neglected the role of information. This paper synthesizes existing knowledge on the effects of information on local and connected ecosystems and presents new hypotheses on the integration of ecological information into meta-ecosystem theory.
Article
Ecology
Uriah Daugaard, Stephan Munch, David Inauen, Frank Pennekamp, Owen Petchey
Summary: The potential for forecasting ecological systems is currently unclear due to their complexity. In this study, a microbial system was monitored to investigate the forecasting of species abundances. The results showed that species with more interactions had weaker interactions but better abundance prediction. Forecast skill increased with model size, but greater system complexity decreased it for some species. These insights could improve species forecasting and monitoring.
Article
Ecology
Henry K. Baker, Stephanie S. Li, Stefan C. Samu, Natalie T. Jones, Celia C. Symons, Jonathan B. Shurin
Summary: Predators drive trophic cascades by reducing prey biomass and altering prey traits. The ecological and evolutionary experience of prey communities can alter the balance of consumptive and non-consumptive predator effects, influencing trophic cascade strength.
Article
Soil Science
Julia Schroeder, Tino Peplau, Frank Pennekamp, Edward Gregorich, Christoph C. Tebbe, Christopher Poeplau
Summary: The study found that land-use conversion significantly increased microbial carbon use efficiency, with soil pH increase and C:N ratio decrease playing important roles, rather than changes in microbial community composition.
BIOLOGY AND FERTILITY OF SOILS
(2022)
Article
Limnology
Miriam Gerhard, Apostolos-Manuel Koussoroplis, Michael Raatz, Christian Pansch, Samuel B. Fey, Jahangir Vajedsamiei, Maria Caldero-Pascual, David Cunillera-Montcusi, Noel P. D. Juvigny-Khenafou, Francesco Polazzo, Patrick K. Thomas, Celia C. Symons, Meryem Beklioglu, Stella A. Berger, Rosa M. Chefaoui, Kemal Ali Ger, Silke Langenheder, Jens C. Nejstgaard, Robert Ptacnik, Maren Striebel
Summary: The relevance of considering environmental variability for understanding and predicting biological responses has led to a surge in variability-focused ecological research. However, integrating findings across studies and identifying knowledge gaps in aquatic ecosystems remain critical.
LIMNOLOGY AND OCEANOGRAPHY LETTERS
(2023)
Article
Limnology
Shelley E. Arnott, Vincent Fugere, Celia C. Symons, Stephanie J. Melles, Beatrix E. Beisner, Miguel Canedo-Arguelles, Marie-Pier Hebert, Jennifer A. Brentrup, Amy L. Downing, Derek K. Gray, Danielle Greco, William D. Hintz, Alexandra McClymont, Rick A. Relyea, James A. Rusak, Catherine L. Searle, Louis Astorg, Henry K. Baker, Zeynep Ersoy, Carmen Espinosa, Jaclyn M. Franceschini, Angelina T. Giorgio, Norman Gobeler, Emily Hassal, Mercedes Huynh, Samuel Hylander, Kacie L. Jonasen, Andrea Kirkwood, Silke Langenheder, Ola Langvall, Hjalmar Laudon, Lovisa Lind, Maria Lundgren, Emma R. Moffett, Lorenzo Proia, Matthew S. Schuler, Jonathan B. Shurin, Christopher F. Steiner, Maren Striebel, Simon Thibodeau, Pablo Urrutia Cordero, Lidia Vendrell-Puigmitja, Gesa A. Weyhenmeyer, Alison M. Derry
Summary: The salinization of freshwaters poses a global threat to aquatic biodiversity. The study quantified the variation in chloride (Cl-) tolerance among 19 freshwater zooplankton species in four countries. The results showed high variation in Cl- tolerance among populations, with zooplankton community composition being the only factor that explained this variation. The large intraspecific variation in Cl- tolerance suggests that water quality guidelines should consider multiple populations and communities.
LIMNOLOGY AND OCEANOGRAPHY LETTERS
(2023)
Article
Ecology
Tanya L. Rogers, Stephan B. Munch, Shin-ichiro S. Matsuzaki, Celia C. Symons
Summary: Chaotic dynamics are prevalent and limit long-term predictability in short-lived organisms like plankton. This study investigates how dynamical stability varies through time, space, and taxonomic resolutions using plankton time series data. The results show seasonal patterns of local instability in many species, short-term predictability correlates with local instability, and local instability is most common in spring when there is high growth. Taxonomic aggregates are more stable and predictable compared to finer groupings. Higher latitude locations have higher Lyapunov exponents and greater seasonality in local instability, but only at coarser taxonomic resolution. Overall, these findings suggest that prediction accuracy, sensitivity to change, and management efficacy may be higher during certain times of the year, and that prediction is more feasible for taxonomic aggregates.
Article
Biodiversity Conservation
Sofia J. van Moorsel, Elisa Thebault, Viktoriia Radchuk, Anita Narwani, Jose M. Montoya, Vasilis Dakos, Mark Holmes, Frederik De Laender, Frank Pennekamp
Summary: The article discusses the impact of global change drivers on ecological systems and proposes a method for understanding how multiple drivers affect ecological systems using reaction norms. The authors suggest that studying reaction norms of drivers can improve predictions of interactions at the community level.
GLOBAL CHANGE BIOLOGY
(2022)