Article
Ecology
Yan Zhigang, Buddhi Dayananda, Igor Popovic, Wang Xueli, Kang Dongwei, Zhang Yubo, Sheng Guozhen
Summary: The disturbance of wildlife habitats by human activities is a significant factor in the ecological landscape evolution. A study was conducted to analyze the temporal and spatial dynamics of human disturbances affecting panda populations, using information entropy and statistical methods. The results showed that farming, tourism, logging, and road infrastructure were the key factors impacting panda habitats. The impact of logging and shoot gathering has decreased over time, with road infrastructure emerging as the leading disturbance factor. These findings will contribute to the preservation of threatened panda populations and future research on habitat disturbance.
ECOLOGICAL INFORMATICS
(2023)
Article
Computer Science, Artificial Intelligence
Rui Zhang, Fei Xie, Rui Sun, Lei Huang, Xixiang Liu, Jianjun Shi
Summary: This paper proposes a spatial-temporal dynamic semantic graph neural network based on the graph neural network for traffic flow forecasting. It solves the problems of ineffective utilization of semantic features, inaccurate adjustment of feature weights, and limited stacking depth in existing methods. By capturing potential semantic features, dynamically aggregating multiple features, and injecting-stacked structure to deepen the network layers, this method achieves minimal forecasting errors on multiple datasets.
NEURAL COMPUTING & APPLICATIONS
(2022)
Article
Engineering, Civil
Pardis Ziaee, Mohammad Javad Abedini
Summary: This study investigates the influence of rainfall variability in time and space, as well as the location of storm center, on catchment outflow hydrograph. The findings demonstrate that the storm center location has a significant impact on the characteristics of the outflow hydrograph, with closer proximity to the outlet resulting in increased peak magnitude and decreased time to peak. The spatiotemporal resolution of the monitoring network also affects the hydrograph characteristics, particularly the peak magnitude, with lower resolutions leading to underestimation of peak and overestimation of time to peak.
WATER RESOURCES MANAGEMENT
(2023)
Article
Biodiversity Conservation
Mohamad Aqmal-Naser, Kei'ichiro Iguchi, Amirrudin B. Ahmad
Summary: The paddy field, a man-made habitat, is affected by agronomic practices during different stages of paddy planting. The study found that the spatial and temporal scales have significant impacts on fish diversity and assemblages in the paddy field. Fish diversity values fluctuate across habitats and stages, and fish assemblages vary according to the habitats and stages. These results highlight the importance of spatial and temporal effects in maintaining ecosystem balance in man-made habitats in urban environments.
Article
Engineering, Civil
Yuting Chen, Athanasios Paschalis, Li-Pen Wang, Christian Onof
Summary: Stochastic rainfall models are widely used in long-term flood risk management, but their simplifications in describing rainfall structure may introduce biases in flood estimation. This study quantified the biases introduced by rainfall model limitations in two medium-sized river catchments in the UK and found a bias in extreme areal statistics while also showing good fit in flow duration curves and flood frequency curves.
JOURNAL OF HYDROLOGY
(2021)
Article
Neurosciences
Cong Pan, Haifei Yu, Xuan Fei, Xingjuan Zheng, Renping Yu
Summary: With the development of rs-fMRI technology, functional connectivity network has shown potential for identifying neuropsychiatric disorders. Traditional static functional connectivity network ignores the dynamic changes and high-order interactions. This article proposes a dynamic functional connectivity network to characterize connectivity variation across time and a high-order functional connectivity network to reflect complex interactions. Experimental results demonstrate the effectiveness of the method for schizophrenia identification.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Automation & Control Systems
Shiwei Lan
Summary: This paper proposes a novel Bayesian nonparametric method based on non-stationary spatiotemporal Gaussian process (STGP) to characterize temporal evolution of spatial dependence (TESD). The method introduces time-dependence to the spatial kernel by varying its eigenvalues over time. Simulation study and neuroimaging analysis on Alzheimer's patients demonstrate the effectiveness and efficiency of the proposed methodology in characterizing TESD. Theoretical properties of the method, including posterior contraction for covariance, are also studied.
JOURNAL OF MACHINE LEARNING RESEARCH
(2022)
Article
Environmental Sciences
Eduardo Laguna, Jose A. Barasona, Joaquin Vicente, Oliver Keuling, Pelayo Acevedo
Summary: The study highlights the impact of sex and land use on the spatial ecology and habitat selection of adult wild boar in the Mediterranean region. Male wild boar exhibited higher activity levels and larger daily range in mixed farms compared to fenced hunting estates, with lower values observed in protected areas.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Qun Gai, Tongpeng Chu, Kaili Che, Yuna Li, Fanghui Dong, Haicheng Zhang, Qinghe Li, Heng Ma, Yinghong Shi, Feng Zhao, Jing Liu, Ning Mao, Haizhu Xie
Summary: This study aims to integrate temporal and spatial variability features of dynamic brain networks and apply machine learning techniques to distinguish patients with depression from healthy controls. The results show that the model with integrated temporal and spatial features achieved the best performance, and temporal and spatial variability could predict the severity of depression and anxiety. These findings have potential implications for clinical diagnosis and symptom prediction.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Neurosciences
Noam Tal-Perry, Shlomit Yuval-Greenberg
Summary: Temporal expectation is the ability to predict the timing of events based on past experience. Cue-based and contextual temporal expectations have different characteristics and rely on distinct neural mechanisms.
JOURNAL OF NEUROSCIENCE
(2022)
Review
Ecology
Meredith S. Palmer, Kaitlyn M. Gaynor, Justine A. Becker, Joel O. Abraham, Matthew A. Mumma, Robert M. Pringle
Summary: The study outlines a dynamic framework for the landscape of fear concept, introducing a time variable to better understand the effects of spatiotemporal variation in risk-resource trade-offs on prey behaviors.
TRENDS IN ECOLOGY & EVOLUTION
(2022)
Article
Computer Science, Artificial Intelligence
Truong-Thang Nguyen, Viet-Hung Dang
Summary: This study introduces a highly efficient framework, iDANS, for Incremental Dynamic Analysis (IDA) of civil structures subjected to earthquakes. By utilizing a physical-induced data-driven surrogate model, the computational complexity can be significantly reduced, leading to improved efficiency.
APPLIED INTELLIGENCE
(2023)
Article
Economics
Emir Ganic, Fiona Raje, Nico van Oosten
Summary: This paper proposes a dynamic approach to mapping aircraft noise by using travel data to reflect human mobility, which allows for a more accurate understanding of people's exposure to aircraft noise. The study shows that this method increases the estimated number of highly annoyed people by 10.9%. The findings have implications for airports, air navigation service providers, policymakers and legislators, as it can contribute to improved sound experience for people and communities near airports.
JOURNAL OF TRANSPORT GEOGRAPHY
(2023)
Article
Environmental Sciences
Andrew Gunn, Roger Dargaville, Christian Jakob, Shayne McGregor
Summary: To meet the demand for electricity from renewable energy, it is important to choose wind farm locations that minimize variability in output, especially during the night when solar photovoltaics are unreliable. The location of wind farms must consider grid proximity, resource potential, and wind correlation between farms.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Biotechnology & Applied Microbiology
Manya Luo, Tuansheng Li
Summary: The research revealed the spatial-temporal characteristics of landscape ecological quality in Yulin from 2000 to 2018, showing a trend of improvement, degradation, and enhancement. The improvement in ecological quality from 2000 to 2010 was attributed to the returning farmland to forest project, which increased vegetation coverage and reduced soil erosion. This study provides valuable information for ecological conservation and development in the region.
ENVIRONMENTAL TECHNOLOGY & INNOVATION
(2021)
Article
Biodiversity Conservation
Jennifer E. Houle, Francisco de Castro, Michelle A. Cronin, Keith D. Farnsworth, Martha Gosch, David G. Reid
JOURNAL OF APPLIED ECOLOGY
(2016)
Article
Fisheries
Jodie Reed, Lynne Shannon, Laure Velez, Ekin Akoglu, Alida Bundy, Marta Coll, Caihong Fu, Elizabeth A. Fulton, Arnaud Gruss, Ghassen Halouani, Johanna J. Heymans, Jennifer E. Houle, Emma John, Francois Le Loc'h, Baris Salihoglu, Philippe Verley, Yunne-Jai Shin
ICES JOURNAL OF MARINE SCIENCE
(2017)
Article
Fisheries
Jamie C. Tam, Jason S. Link, Axel G. Rossberg, Stuart I. Rogers, Philip S. Levin, Marie-Joelle Rochet, Alida Bundy, Andrea Belgrano, Simone Libralato, Maciej Tomczak, Karen van de Wolfshaar, Fabio Pranovi, Elena Gorokhova, Scott I. Large, Nathalie Niquil, Simon P. R. Greenstreet, Jean-Noel Druon, Jurate Lesutiene, Marie Johansen, Izaskun Preciado, Joana Patricio, Andreas Palialexis, Paul Tett, Geir O. Johansen, Jennifer Houle, Anna Rindorf
ICES JOURNAL OF MARINE SCIENCE
(2017)
Article
Biodiversity Conservation
Yunne-Jai Shin, Jennifer E. Houle, Ekin Akoglu, Julia L. Blanchard, Alida Bundy, Marta Coll, Herve Demarcq, Caihong Fu, Elizabeth A. Fulton, Johanna J. Heymans, Baris Salihoglu, Lynne Shannon, Miriana Sporcic, Laure Velez
ECOLOGICAL INDICATORS
(2018)
Article
Ecology
Caihong Fu, Morgane Travers-Trolet, Laure Velez, Arnaud Gruss, Alida Bundy, Lynne J. Shannon, Elizabeth A. Fulton, Ekin Akoglu, Jennifer E. Houle, Marta Coll, Philippe Verley, Johanna J. Heymans, Emma John, Yunne-Jai Shin
ECOLOGICAL MODELLING
(2018)
Article
Fisheries
Jennifer E. Houle, Keith D. Farnsworth, Axel G. Rossberg, David G. Reid
CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES
(2012)
Article
Fisheries
Axel G. Rossberg, Jennifer E. Houle, Kieran Hyder
CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES
(2013)
Article
Fisheries
Samuel Shephard, Tak Fung, Jennifer E. Houle, Keith D. Farnsworth, David G. Reid, Axel G. Rossberg
ICES JOURNAL OF MARINE SCIENCE
(2012)
Article
Fisheries
J. E. Houle, K. H. Andersen, K. D. Farnsworth, D. G. Reid
JOURNAL OF FISH BIOLOGY
(2013)
Article
Environmental Studies
Kieran Hyder, Axel G. Rossberg, J. Icarus Allen, Melanie C. Austen, Rosa M. Barciela, Hayley J. Bannister, Paul G. Blackwell, Julia L. Blanchard, Michael T. Burrows, Emma Defriez, Tarquin Dorrington, Karen P. Edwards, Bernardo Garcia-Carreras, Michael R. Heath, Deborah J. Hembury, Johanna J. Heymans, Jason Holt, Jennifer E. Houle, Simon Jennings, Steve Mackinson, Stephen J. Malcolm, Ruaraidh McPike, Laurence Mee, David K. Mills, Caron Montgomery, Dean Pearson, John K. Pinnegar, Marilena Pollicino, Ekaterina E. Popova, Louise Rae, Stuart I. Rogers, Douglas Speirs, Michael A. Spence, Robert Thorpe, R. Kerry Turner, Johan van der Molen, Andrew Yool, David M. Paterson
Article
Environmental Studies
M. Cronin, M. Jessopp, J. Houle, D. Reid
Article
Biology
Iain Hunter, Raz Leib
Summary: Natural movement is related to health, but it is difficult to measure. Existing methods cannot capture the full range of natural movement. Comparing movement across different species helps identify common biomechanical and computational principles. Developing a system to quantify movement in freely moving animals in natural environments and relating it to life quality is crucial. This study proposes a theoretical framework based on movement ability and validates it in Drosophila.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Andy Gardner
Summary: Fisher's geometric model is a useful tool for predicting key properties of Darwinian adaptation, and here it is applied to predict differences between the evolution of altruistic versus nonsocial phenotypes. The results suggest that the effect size maximizing probability of fixation is smaller in the context of altruism and larger in the context of nonsocial phenotypes, leading to lower overall probability of fixation for altruism and higher overall probability of fixation for nonsocial phenotypes.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Thomas F. Pak, Joe Pitt-Francis, Ruth E. Baker
Summary: Cell competition is a process where cells interact in multicellular organisms to determine a winner or loser status, with loser cells being eliminated through programmed cell death. The winner cells then populate the tissue. The outcome of cell competition is context-dependent, as the same cell type can win or lose depending on the competing cell type. This paper proposes a mathematical framework to study the emergence of winner or loser status, highlighting the role of active cell death and identifying the factors that drive cell competition in a cell-based modeling context.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Haruto Tomizuka, Yuuya Tachiki
Summary: Batesian mimicry is a strategy in which palatable prey species resemble unpalatable prey species to avoid predation. The evolution of this mimicry plays a crucial role in protecting the unpalatable species from extinction.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Jason W. Olejarz, Martin A. Nowak
Summary: Gene drive technology shows potential for population control, but its release may have unpredictable consequences. The study suggests that the failure of suppression is a natural outcome, and there are complex dynamics among wild populations.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Hamid Ravaee, Mohammad Hossein Manshaei, Mehran Safayani, Javad Salimi Sartakhti
Summary: Gene expression analysis is valuable for cancer classification and phenotype identification. IP3G, based on Generative Adversarial Networks, enhances gene expression data and discovers phenotypes in an unsupervised manner. By converting gene expression profiles into images and utilizing IP3G, new phenotype profiles can be generated, improving classification accuracy.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Beatrix Rahnsch, Leila Taghizadeh
Summary: This study forecasts the evolution of the COVID-19 pandemic in Germany using a network-based inference method and compares it with other approaches. The results show that the network-inference based approach outperforms other methods in short-to mid-term predictions, even with limited information about the new disease. Furthermore, predictions based on the estimation of the reproduction number in Germany can yield more reliable results with increasing data availability, but still cannot surpass the network-inference based algorithm.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Rongsheng Huang, Qiaojun Situ, Jinzhi Lei
Summary: Maintaining tissue homeostasis requires appropriate regulation of stem cell differentiation. Random inheritance of epigenetic states plays a pivotal role in stem cell differentiation. This computational model provides valuable insights into the intricate mechanism governing stem cell differentiation and cell reprogramming, offering a promising path for enhancing the field of regenerative medicine.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Patrick Vincent N. Lubenia, Eduardo R. Mendoza, Angelyn R. Lao
Summary: This study compares insulin signaling in healthy and type 2 diabetes states using reaction network analysis. The results show similarities and differences between the two conditions, providing insights into the mechanisms of insulin resistance, including the involvement of other complexes, less restrictive interplay between species, and loss of concentration robustness in GLUT4.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Nuverah Mohsin, Heiko Enderling, Renee Brady-Nicholls, Mohammad U. Zahid
Summary: Mathematical modeling is crucial in understanding radiobiology and designing treatment approaches in radiotherapy for cancer. This study compares three tumor volume dynamics models and analyzes the implications of model selection. A new metric, the point of maximum reduction of tumor volume (MRV), is introduced to quantify the impact of radiotherapy. The results emphasize the importance of caution in selecting models of response to radiotherapy due to the artifacts imposed by each model.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Armindo Salvador
Summary: Michael Savageau's Biochemical Systems Analysis papers have had a significant impact on Systems Biology, generating core concepts and tools. This article provides a brief summary of these papers and discusses the most relevant developments in Biochemical Systems Theory since their publication.
JOURNAL OF THEORETICAL BIOLOGY
(2024)