Article
Automation & Control Systems
Deepak Maurya, Arun K. Tangirala, Shankar Narasimhan
Summary: This article proposes a novel identification algorithm for the errors-in-variables autoregressive model with exogenous input (EIV-ARX) in the presence of colored noise. The algorithm jointly estimates the error variances, process order, delay, and model parameters by transforming the lagged measurements using the appropriate error covariance matrix.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Multidisciplinary Sciences
Hossam Ashraf, Mahmoud M. Elkholy, Sameh O. Abdellatif, Attia A. El-Fergany
Summary: This study presents a novel method to extract parameters of PEMFCs stack using a Kepler Optimization Algorithm (KOA). The results demonstrate the superiority of KOA in terms of steady-state performance, with better consistency between measured and calculated datasets compared to other algorithms. The method also shows promising performance on various metrics.
SCIENTIFIC REPORTS
(2023)
Article
Green & Sustainable Science & Technology
Shuhui Wang, Yongguang Yu, Wei Hu
Summary: Photovoltaic modeling research is gaining interest, with a focus on accuracy for system design and control. A novel hybrid optimization algorithm HROA is proposed for parameter extraction, offering efficiency and no need for parameter tuning.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Automation & Control Systems
Zongshan Wang, Hongwei Ding, Jingjing Yang, Jie Wang, Bo Li, Zhijun Yang, Peng Hou
Summary: This paper presents an orthogonal quasi-opposition-based learning-driven dynamic SSA (OBDSSA) algorithm for solving global optimization problems. By integrating orthogonal quasi-opposition-based learning and dynamic learning with SSA, the proposed methodology improves its performance. Experimental results demonstrate that OBDSSA outperforms other algorithms in solving benchmark functions and photovoltaic model parameter extraction problem.
IET CONTROL THEORY AND APPLICATIONS
(2022)
Article
Biochemistry & Molecular Biology
Guobin Huang, Huan Ma, Xihui Gan, Silin Li, Xiaohong Ma, Siyu Chen, Huiying Yang, Xinhai Zhu, Hongmei Jiang, Qian Bi, Yongcong Shao, Yebing Yang, Jinhu Guo
Summary: The study revealed that non-24 h and shift schedules can disrupt circadian rhythms and lead to changes in blood/serum variables, including increased phosphate levels. miRNA regulation of genes related to phosphate transport may play a key role in affecting serum phosphate levels.
BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS
(2021)
Article
Mathematics, Applied
Tao Chen, Yunping Jiang, Linda Keen
Summary: This paper is part of a program aiming to understand the parameter spaces of dynamical systems generated by meromorphic functions. The author provides a comprehensive description of a specific family based on the exponential function, which has two finite asymptotic values and one attracting fixed point. Despite the presence of an essential singularity, these new functions exhibit a dynamic structure similar to the rational case, and the techniques used in the rational case can be adapted.
ERGODIC THEORY AND DYNAMICAL SYSTEMS
(2023)
Article
Chemistry, Applied
Yue Yang, Chengtuo Niu, Wanxiang Shan, Feiyun Zheng, Chunfeng Liu, Jinjing Wang, Qi Li
Summary: The salt concentration plays important roles in the dynamics of microbiota and quality of doubanjiang during fermentation. Reduced salt can facilitate the accumulation of amino acid nitrogen, amino acids, and volatile flavor compounds, but may also increase the concentrations of total acids and biogenic amines, as well as the presence of conditional pathogens, negatively affecting the quality of doubanjiang.
Article
Computer Science, Information Systems
Hui Wang, Boxin Dong, Hongchang Ke, Qianqian Qi, Gang Liu
Summary: This paper proposes a novel and simple encryption scheme called Joseph shift encryption (JSE) that is as effective as other algorithms. It introduces the static Joseph shift encryption (S-JSE) and dynamic Joseph shift encryption (D-JSE) algorithms to enhance the effectiveness of image encryption by reducing dimension and increasing iterations. It also analyzes the effectiveness of S-JSE and the security of D-JSE.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Review
Physics, Multidisciplinary
Eite Tiesinga, Peter J. Mohr, David B. Newell, Barry N. Taylor
Summary: The self-consistent values of physics and chemistry constants recommended by CODATA for 2018 are reported, with discussions on major improvements and inconsistencies. Many constants have reduced uncertainties or exact values due to the transition to the revised SI. However, inconsistencies remain for the gravitational constant and the muon magnetic-moment anomaly.
REVIEWS OF MODERN PHYSICS
(2021)
Article
Immunology
Megan A. Barela Hudgell, Leon Grayfer, L. Courtney Smith
Summary: The sea urchin immune cell populations undergo dynamic changes in response to distinct immune stimuli and injury, particularly driven by the responses of large phagocyte populations.
FRONTIERS IN IMMUNOLOGY
(2022)
Article
Energy & Fuels
Liying Wang, Luyao Zhang, Weiguo Zhao, Xiyuan Liu
Summary: An improved artificial hummingbird algorithm (IAHA) is proposed for parameter identification in a pumped storage unit. The algorithm integrates Chebyshev chaotic map and Levy flight to enhance optimization ability. Experimental results demonstrate that IAHA achieves higher accuracy and faster convergence on standard test functions.
Article
Thermodynamics
Zhe Sun, Dan Cao, Yawen Ling, Feng Xiang, Zhixin Sun, Fan Wu
Summary: The paper proposes a dynamic differential evolution algorithm with a collective guiding factor to solve the parameter identification and optimization problem of PEMFC model. By introducing dynamic scaling factor and dynamic crossover probability, the algorithm shows superior performance in convergence accuracy and speed, leading to more accurate parameter values for the PEMFC model.
Article
Engineering, Environmental
Wei Zhang, Anna M. Alessi, Sonia Heaven, James P. J. Chong, Charles J. Banks
Summary: Transitions in microbial community structure in response to increasing ammonia concentrations were studied in mesophilic anaerobic digesters. The addition of trace elements, organic loading rates, and hydraulic retention times influenced metabolic routes and community structures. The study demonstrated a quantitative approach using 14C isotope analysis alongside sequencing data to understand methanogenic pathways and microbial populations.
Article
Chemistry, Analytical
Chuanliang Wang, Xuhui Geng, Yan Gao, Chao Zheng, Yafeng Guan
Summary: A 96-well plate UV fluorometer with eight micro fluorescence detectors was developed. The detectors used UV LED as light source and photodiode with amplifier circuit as optoelectronic detector. The optical paths were designed to avoid crosstalk between wells. Simultaneous scanning and detection of 8 channels saved scanning time and improved efficiency. The fluorometer showed improved measurement accuracy and repeatability compared to traditional methods. It has great potential in high-throughput rapid detection in food safety and life sciences.
Article
Optics
Zhen Wang, Jie Jiang, Yan Ma
Summary: This paper focuses on the problem of limited identification efficiency of terrestrial star trackers due to inappropriate matching thresholds and proposes an adaptive dynamic adjustment star identification threshold model. Numerical simulation and experimental results demonstrate that the model improves identification efficiency while maintaining a high identification success rate.
Article
Ecology
Matthew T. Farr, David S. Green, Kay E. Holekamp, Elise F. Zipkin
Summary: Integrated models combining presence-only data and distance sampling data improve accuracy and precision of estimates for species abundance and covariate effects. A case study in the Masai Mara National Reserve in Kenya revealed that human disturbance was a major driver of black-backed jackal abundance patterns. The model showed minimal effects of landscape cover, lion density, and distance to water sources on jackal abundance.
Review
Ecology
Sarah Cusser, Jackson Helms, Christie A. Bahlai, Nick M. Haddad
Summary: The study finds that experiments conducted in dynamic abiotic environments require a longer period to reach consistent results compared to those in more stable environments, and plant studies are more prone to producing spurious results. Approximately half of the studies required 10 years or longer to achieve consistency, with some even extending beyond 20 years.
Article
Ecology
Christie A. Bahlai, Clarisse Hart, Maria T. Kavanaugh, Jeffrey D. White, Roger W. Ruess, Todd J. Brinkman, Hugh W. Ducklow, David R. Foster, William R. Fraser, Helene Genet, Peter M. Groffman, Stephen K. Hamilton, Jill F. Johnstone, Knut Kielland, Douglas A. Landis, Michelle C. Mack, Orlando Sarnelle, Jonathan R. Thompson
Summary: The research emphasizes the importance of long-term studies in understanding the complexities of ecological cascades. Through the integration of multiple thematic stories, the study highlights the need for long-term research to reveal the complexity of different types of ecological cascades.
Article
Entomology
Cara M. McCreary, Jocelyn L. Smith, Christie A. Bahlai, Art W. Schaafsma, Rebecca H. Hallett
Summary: The phenology and voltinism of bean leaf beetle in Ontario soybean fields were examined. The study found that the observations of the life stage events of the beetle were consistent with the model predictions.
ENVIRONMENTAL ENTOMOLOGY
(2022)
Article
Ecology
Jeffrey W. Doser, Wendy Leuenberger, T. Scott Sillett, Michael T. Hallworth, Elise F. Zipkin
Summary: The integrated community occupancy model (ICOM) combines multiple data sources to provide more precise estimations of species and community occurrence dynamics. Simulations show that the ICOM outperforms single data source models in terms of precision and accuracy, although the benefits of integration depend on the information content of individual data sources. The ICOM also demonstrates improved predictive performance compared to single species models and models using only a subset of the data sources.
METHODS IN ECOLOGY AND EVOLUTION
(2022)
Article
Ecology
Naresh Neupane, Elise F. Zipkin, Sarah P. Saunders, Leslie Ries
Summary: Predicting species' responses to future climate conditions is crucial for conservation and policy-making. This study used multiple global climate models to project the population fluctuations of the monarch butterfly and found differences between trimmed and complete ensembles, with the trimmed ensemble providing more useful information.
Article
Biodiversity Conservation
Matthew T. Farr, Timothy O'Brien, Charles B. Yackulic, Elise F. Zipkin
Summary: Understanding species' abundance patterns and demographic rates is crucial for effective conservation. However, estimating abundance and demographic rates for entire communities of species is often time-consuming and expensive. This study developed a multispecies dynamic model to estimate community-wide relative abundance and demographic rates using detection-nondetection data. The model outperformed single-species models in many cases and was used to evaluate the population dynamics of a forest-dwelling antelope community in tropical equatorial Africa. The findings highlight the importance of this model in examining the reasons behind biodiversity loss.
CONSERVATION BIOLOGY
(2022)
Article
Ecology
Alexander D. Wright, Evan H. Campbell Grant, Elise F. Zipkin
Summary: Dedicated long-term monitoring is crucial for understanding biodiversity losses and developing effective conservation plans. Wildlife monitoring requires data collection at different spatial scales to understand the status, trends, and drivers of species or communities. Limited resources require tradeoffs in data collection scope and scale. The stratified random design outperformed other designs for most parameters, but other designs had improved performance in specific situations.
ECOLOGICAL APPLICATIONS
(2022)
Article
Ecology
Jeffrey W. Doser, Andrew O. Finley, Marc Kery, Elise F. Zipkin
Summary: Occupancy modelling is commonly used to assess species distribution patterns, with extensions now available for multiple species and spatial autocorrelation. The spOccupanc R package is introduced as a specialized tool for fitting single-species and multi-species spatially explicit occupancy models, providing efficient data integration and consideration of spatial autocorrelation for large datasets. This package offers user-friendly functions for simulation, fitting, validation, comparison, and prediction of occupancy models, making it a valuable tool for addressing detection biases and spatial autocorrelation in species distribution models.
METHODS IN ECOLOGY AND EVOLUTION
(2022)
Review
Ecology
Kayla L. Davis, Emily D. Silverman, Allison L. Sussman, R. Randy Wilson, Elise F. Zipkin
Summary: Accurate estimation of animal abundance is crucial for effective management, and this study focuses on the challenges and potential solutions in using aerial survey data for wildlife abundance estimation. Through a comprehensive review of the literature and a case study, the study identifies common problems such as nondetection, counting error, and species misidentification, and highlights the importance of addressing these issues separately. The study suggests strategies such as digital data collection, pooling species records, and ordinal modeling using binned data to overcome these challenges.
ECOLOGY AND EVOLUTION
(2022)
Article
Ecology
Evelyn E. Gaiser, John S. Kominoski, Diane M. McKnight, Christie A. Bahlai, Chingwen Cheng, Sydne Record, Wilfred M. Wollheim, Kyle R. Christianson, Martha R. Downs, Peter A. Hawman, Sally J. Holbrook, Abhishek Kumar, Deepak R. Mishra, Noah P. Molotch, Richard B. Primack, Andrew Rassweiler, Russell J. Schmitt, Lori A. Sutter
Summary: The COVID-19 pandemic disrupted human activity, leading to changes in human-ecosystem interactions, known as the anthropause. The effects of the anthropause on ecosystem states and functions, as well as its feedback to human systems through ecosystem services, are still uncertain. This study proposes new investigation pathways using a disturbance framework to capture the effects of the anthropause through coordinated, long-term social-ecological research. Although it is still early to comprehensively evaluate these effects, case studies using long-term data show changes in air and water quality, as well as wildlife populations and behavior coinciding with the anthropause. These findings highlight the importance of long-term data in understanding the impacts of the anthropause and separating them from natural variation and long-term trends.
Review
Ecology
Courtney L. Davis, Robert P. Guralnick, Elise F. Zipkin
Summary: Natural history collections provide valuable information for understanding the impact of global change on biodiversity. However, using museum records to track long-term insect population trends poses challenges due to spatiotemporal biases and data sparsity. Recent advancements in methodology and integrated modeling offer opportunities to overcome these challenges and accurately estimate population trends.
JOURNAL OF ANIMAL ECOLOGY
(2023)
Article
Microbiology
Elise F. Zipkin, Graziella V. DiRenzo
Article
Biodiversity Conservation
Erin R. Zylstra, Naresh Neupane, Elise F. Zipkin
Summary: Climate change poses a unique threat to migratory species, leading to decreases in monarch butterfly abundance and shifts in their distribution. Improved precision of short-term forecasts can be achieved through targeted data collection.
GLOBAL CHANGE BIOLOGY
(2022)
Article
Biology
Christie A. Bahlai
Summary: Predicting insect responses to stressors is challenging due to the diversity of insects, environments, and monitoring and modeling approaches. Current forecasting models often focus on single-species models, which offer precise predictions but limited generalizability. Trait-based approaches may provide a good compromise by avoiding masking of response ranges while still providing insights. Careful evaluation of data used to parameterize forecasting models is crucial, considering temporal autocorrelation, minimum data requirements, and sampling biases. Testing and improving models can be achieved through near-term predictions.
CURRENT OPINION IN INSECT SCIENCE
(2023)