Article
Computer Science, Artificial Intelligence
Yang Gao, Xiangzhan Yu, Hongli Zhang
Summary: Local community detection methods aim at finding communities around initial nodes in a network, addressing efficiency problems faced by global clustering methods. Techniques like personalized PageRank and heat kernel diffusion are used to rank proximity scores of vertices nearby.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Physics, Multidisciplinary
Bo Liang, Lin Wang, Xiaofan Wang
Summary: This study proposes a multiplex network embedding algorithm that captures different types of relationships and obtains unique embeddings for nodes using a biased path-dependency random walk strategy and skip-gram model. Experimental validation demonstrates the superior performance of the algorithm in link prediction tasks.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Kun Guo, Qinze Wang, Jiaqi Lin, Ling Wu, Wenzhong Guo, Kuo-Ming Chao
Summary: This paper proposes a network representation learning based algorithm for overlapping community detection, which improves the cohesion of similar nodes by integrating community information into embedding vectors. The algorithm automatically determines the parameters for random walk and uses community-aware random walk strategies to capture the characteristics of communities.
APPLIED INTELLIGENCE
(2022)
Article
Computer Science, Interdisciplinary Applications
Sebastien Blaise, Benoit Spinewine
Summary: The article introduces a new method for optimizing the least cost route, which incorporates curvature constraints into primary calculations, eliminating the need for post-process smoothing and preserving the optimal character of the route. By adapting optimization algorithms for forward-moving vehicles, faster and more accurate results are achieved. This method offers higher flexibility in local route orientation compared to traditional algorithms.
ENGINEERING WITH COMPUTERS
(2022)
Article
Computer Science, Artificial Intelligence
Sondos Bahadori, Parham Moradi, Hadi Zare
Summary: This study introduces a random walk method to detect overlapping community structures in complex networks. By calculating the transferability of agents using the Markov transition matrix, probabilities are used as feature sets for node identification, enabling the identification of overlapping nodes.
APPLIED INTELLIGENCE
(2021)
Article
Computer Science, Information Systems
Danish Mehmood Mughal, Syed Tariq Shah, Min Young Chung
Summary: This article proposes a cellular architecture for energy-constrained Internet-of-Things Devices to utilize resources of the cellular network for energy harvesting and information transmission. The study includes analytical expressions for collision probability and average throughput of IoDs, verified through system-level simulations that match the analytical results. The overall performance of the considered architecture is also studied for different system parameters.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Mathematics, Applied
Hidekazu Yoshioka, Motoh Tsujimura, Haruka Tomobe
Summary: This study introduces a novel adaptive Erlangization method to address cost-constrained stochastic control problems in environmental engineering. The Hamilton-Jacobi-Bellman (HJB) equation is formulated as an optimality equation subject to the constrained expectation using the method of Lagrangian multipliers. It is demonstrated that the HJB equation has a closed-form solution for a specific sand replenishment problem, and this solution is used to verify a numerical algorithm for computing the HJB equation. Computational examples on a sand replenishment problem in a river reach and a management problem of aquatic vegetation in a shallow lake are presented.
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
(2023)
Article
Physics, Multidisciplinary
Arezou Rezazadeh, Josep Font-Segura, Alfonso Martinez, Albert Guillen i Fabregas
Summary: This paper studies a generalized version of multi-class cost-constrained random-coding ensemble with multiple auxiliary costs for the transmission of N correlated sources over an N-user multiple-access channel. Proper choices of the cost functions recover different coding schemes including message-dependent and message-independent versions. The achievable exponents are compared for correlated and independent sources, both numerically and analytically.
Article
Ecology
Bram Van Moorter, Ilkka Kivimaki, Andreas Noack, Robin Devooght, Manuela Panzacchi, Kimberly R. Hall, Pierre Leleux, Marco Saerens
Summary: This article introduces ConScape, a software library implemented in the high-performance open-source language Julia for computing metrics for connected habitat and movement flow on high-resolution landscapes. It combines Julia's just-in-time compiler, efficient algorithms, and landmarks to efficiently evaluate large landscape networks.
METHODS IN ECOLOGY AND EVOLUTION
(2023)
Article
Energy & Fuels
Jeffrey J. Anderson, David Rode, Haibo Zhai, Paul Fischbeck
Summary: There is concern over the slow progress in meeting the CO2 targets of the Paris Agreement, with suggestions to accelerate global decarbonization efforts through natural gas as a replacement for coal. A novel method is introduced to evaluate cost-effective mitigation options for coal-fired power units, highlighting sensitivity to fuel prices and specific unit factors. High capital costs and low natural gas prices may limit carbon capture retrofit viability for coal-fired plants, even with tax incentives.
Article
Computer Science, Information Systems
Sreejith Sreekumar, Alexander Bunin, Ziv Goldfeld, Haim H. Permuter, Shlomo Shamai
Summary: This paper investigates the information-theoretic channel coding problem with input cost constraints in the wiretap channel (WTC). It is found that, compared to the WTC without cost constraints, two auxiliary variables are required to achieve capacity in the cost-constrained DM-WTC. This highlights the essential role of superposition coding in cost-constrained WTCs.
IEEE TRANSACTIONS ON INFORMATION THEORY
(2021)
Article
Geography, Physical
Pedro Lima, Stefan Steger, Thomas Glade, Martin Mergili
Summary: Data-driven landslide susceptibility models are widely used to predict areas affected by landslides. However, these models often neglect the downslope propagation of landslides into flat terrain. This research compares three different models and reveals a potential underestimation of landslide threat in flatter areas.
Article
Ecology
Kun Cheng, Kangxu He, Nan Sun, Qiang Fu
Summary: By evaluating the eco-environmental resources of China's major grain-producing regions, the study clarified the development status of these resources, which is crucial for sustainable agricultural development and food security. Using the DPSIR framework, the study constructed an eco-environment index system and used the random forest model to evaluate the development of these resources from 2005 to 2020. The combination of dynamic and static evaluation provides valuable insights for decision makers. The results showed differences between static and dynamic conditions, with overall upward trends in static conditions and overall downward trends in dynamic conditions. Spatially, the resource levels were generally higher in the north under static conditions and higher in the south under dynamic conditions. Based on the different important indicators, the northern region should focus on increasing agricultural mechanization and improving water resource utilization efficiency, while the southern region should prioritize green agriculture, urbanization, and water resource utilization efficiency.
ECOLOGICAL INFORMATICS
(2023)
Article
Mathematics
Jian Sun, Ling Wang, Dianxuan Gong
Summary: This paper proposes an MQ-RBF interpolation technique with optimized shape parameters for estimating sine wave signal parameters. The impact of basic sinusoidal parameters on the MQ-RBF interpolation outcomes is assessed through numerical experiments. The optimal parameter selection formula for a single-frequency sine wave is established using the linear regression method, and the random walk algorithm is used to select appropriate interpolation shape parameters for multi-frequency sinusoidal signals. The random forest algorithm is chosen to establish the shape parameter selection model, which enables the adaptive selection of MQ-RBF interpolation shape parameters for any sine wave signal.
Article
Genetics & Heredity
Zhifeng Guo, Yan Hui, Fanlong Kong, Xiaoxi Lin
Summary: This study developed a computational method to discover potential lncRNA biomarkers for lung cancer. The study identified the top 30 lncRNAs associated with lung cancer and inferred that three of them may be biomarkers for lung neoplasms, non-small-cell lung cancer, and LUAD.
FRONTIERS IN GENETICS
(2022)
Article
Ecology
R. M. Connolly, K. Jinks, A. Shand, M. D. Taylor, T. F. Gaston, A. Becker, E. L. Jinks
Summary: This study uses deep learning to process and analyze acoustic data and proposes an automated underwater acoustic data analysis tool that can accurately detect and count fish populations with high reliability and accuracy. In future research, it is suggested to expand the testing range and automate species identification and counts.
Article
Physiology
Kim Birnie-Gauvin, Carsten Berthelsen, Torben Larsen, Kim Aarestrup
Summary: The study found that nutritional status decreases in anadromous sea trout during the spawning season, with a significant decrease in females that have spawned. Additionally, spawning itself appears to be a cause of stress, as partially spawned females showed elevated glucose levels and male sea trout showed elevated cortisol levels at recapture.
PHYSIOLOGICAL AND BIOCHEMICAL ZOOLOGY
(2023)
Article
Ecology
Vinay Udyawer, Charlie Huveneers, Fabrice Jaine, Russell C. Babcock, Stephanie Brodie, Marie-Jeanne Buscot, Hamish A. Campbell, Robert G. Harcourt, Xavier Hoenner, Elodie J. I. Ledee, Colin A. Simpfendorfer, Matthew D. Taylor, Asia Armstrong, Adam Barnett, Culum Brown, Barry Bruce, Paul A. Butcher, Gwenael Cadiou, Lydie I. E. Couturier, Leanne Currey-Randall, Michael Drew, Christine L. Dudgeon, Ross G. Dwyer, Mario Espinoza, Luciana C. Ferreira, Anthony Fowler, David Harasti, Alastair R. Harborne, Nathan A. Knott, Kate Lee, Matt Lloyd, Michael Lowry, Teagan Marzullo, Jordan Matley, Jaime D. McAllister, Rory McAuley, Frazer McGregor, Mark Meekan, Kade Mills, Bradley M. Norman, Beverly Oh, Nicholas L. Payne, Vic Peddemors, Toby Piddocke, Richard D. Pillans, Richard D. Reina, Paul Rogers, Jayson M. Semmens, Amy Smoothey, Conrad W. Speed, Dylan van der Meulen, Michelle R. Heupel
Summary: A study found that ectothermic marine species exhibit allometric scaling for activity space, although the relationship is weaker compared to terrestrial species. Body mass alone can only explain 35% of the variation, with trophic position and latitude being stronger predictors for marine species. The study highlights the importance of using large-scale animal biotelemetry networks to address evolutionary and ecological questions across different taxa.
AMERICAN NATURALIST
(2023)
Article
Fisheries
Kristi Kallo, Kim Birnie-Gauvin, Niels Jepsen, Kim Aarestrup
Summary: The increasing abundance of great cormorants has raised concerns about the sustainability of fish populations. While it is known that juvenile salmonids are heavily preyed upon by cormorants, there is limited knowledge about the predation of adult salmonids. This study found that at least 15.4% of tagged adult sea trout were predated by cormorants, with the majority being predated in the river. Female trout and individuals between 35 and 43 cm in length were more likely to be predated. These findings challenge the assumption that cormorants do not prey on reproductively mature salmonids and highlight the potential implications for population recruitment and sustainability.
ECOLOGY OF FRESHWATER FISH
(2023)
Article
Environmental Sciences
Francisco Martinez-Baena, Vincent Raoult, Matthew D. Taylor, Troy F. Gaston, Ian McLeod, Melanie J. Bishop
Summary: Remnant oyster reefs play a critical role in the trophic ecology of both resident and transient species in Australian estuaries, contributing through direct predation and consumption of reef-dwelling organisms. The restoration of oyster reefs will enhance fisheries productivity by broadening the trophic resource base and promoting estuarine energy transfer.
ESTUARIES AND COASTS
(2023)
Article
Fisheries
Alistair Becker, Michael B. Lowry, Ashley M. Fowler, Matthew D. Taylor
Summary: Artificial reef designs have evolved rapidly, but more research is needed to understand their impact on reef function. In south-eastern Australia, most artificial reefs are made of concrete modules or large steel structures. This study found no difference in fish densities between the two reef types, but there was an interactive effect between reef design and distance-from-structure. Steel reefs provided more structure for mid-water fish at greater distances, while concrete module reefs provided multiple congregating sites for fish.
FISHERIES RESEARCH
(2023)
Article
Ecology
Ian D. D. Jonsen, W. James Grecian, Lachlan Phillips, Gemma Carroll, Clive McMahon, Robert G. G. Harcourt, Mark A. A. Hindell, Toby A. A. Patterson
Summary: Animal tracking data is vital for understanding the behavior, ecology, and physiology of mobile or cryptic species. Noise in the data due to imperfect measurement technologies can hinder meaningful signals, necessitating rigorous quality control in comprehensive analysis. State-space models are powerful tools to separate signal from noise, particularly for error-prone location data, enabling inference of animal movements. However, fitting these statistical models to diverse animal tracking data sets can be challenging and time-consuming. The R package aniMotum simplifies quality control and movement inference tasks for animal tracking data.
METHODS IN ECOLOGY AND EVOLUTION
(2023)
Review
Multidisciplinary Sciences
Hugo Flavio, Rochelle Seitz, David Eggleston, Jon C. Svendsen, Josianne Stottrup
Summary: This study systematically reviewed the relationships between hard-bottom habitats and commercially harvested species, indicating that these habitats have positive effects on fish reproduction and biomass, especially for cod and herring.
Article
Environmental Studies
Yuri Niella, Vinay Udyawer, Michael Drew, Brett Simes, Hugh Pederson, Charlie Huveneers
Summary: Wildlife tourism can contribute to species conservation and regional economies. Sustainable management regulations can minimize detrimental effects on white sharks, as shown by the recovery of white shark residency in Australia's white shark diving industry following the implementation of new regulations in 2012. The adaptive framework used in this industry's management can be applied to other tourism industries.
Article
Fisheries
Kristi Kaello, Kim Birnie-Gauvin, Henrik Baktoft, Kim Aarestrup
Summary: In this study, intraspecific differences in outmigration phenology and straying prevalence in brown trout were investigated. The patterns of outmigration and return to freshwater differed between rivers, as did the factors affecting these outcomes. There was also a river-specific link between outmigration phenology and the likelihood of returning. The study suggests that the costs and benefits of autumn migration and straying depend on an individual's home river.
CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES
(2023)
Article
Fisheries
Hayden T. Schilling, Daniel. D. Johnson, Roshan Hanamseth, Iain M. Suthers, Matthew D. Taylor
Summary: This study investigates the variability in commercial catch in the most heavily exploited estuary in southeastern Australia, Wallis Lake. Four main hypotheses are explored, and evidence is found in support of the impact of winter harvest on the following year's catch and the correlation between Pacific Decadal Oscillation (PDO) and catch rates. Co-management arrangements controlling winter fishing effort may lead to improved economic, environmental, and social outcomes from the fishery.
FISHERIES RESEARCH
(2023)
Article
Fisheries
Dylan E. van der Meulen, Chris T. Walsh, Ivars V. Reinfelds, Nicholas L. Payne, Matthew C. Ives, David G. Roberts, James R. Craig, Charles A. Gray, Matthew D. Taylor
Summary: This study combines genetic analysis of Acanthopagrus spp. and acoustic tracking to understand the spatial ecology of this species complex. Movements between A. australis and Acanthopagrus hybrids showed similarities, fish displayed high levels of residency and site fidelity, with peak distributions occurring 15 and 32 km upstream of the river entrance. Offshore movements were recorded for 43% of A. australis and 38% of Acanthopagrus spp. hybrids where fish did not return to the study estuary. Overlap in distributions throughout the spawning period did occur, indicating the possibility of genetic mixing through hybridization.
MARINE AND FRESHWATER RESEARCH
(2023)
Article
Biology
Amy F. Smoothey, Yuri Niella, Craig Brand, Victor M. Peddemors, Paul A. Butcher
Summary: Unprovoked shark bites have increased over the last three decades, yet they are still relatively rare. Bull sharks are globally distributed throughout rivers, estuaries, nearshore areas and continental shelf waters, and are capable of making long distance movements between tropical and temperate regions. The study examined the spatial ecology of acoustically tagged bull sharks off 21 beaches along the coast of New South Wales, Australia, and found that they were more frequently detected in coastal areas of northern NSW but traveled southwards during the austral summer and autumn. The presence of large sharks was influenced by water temperatures, rainfall, and swell heights.
Article
Environmental Sciences
Clive R. R. McMahon, Mark A. A. Hindell, Jean Benoit Charrassin, Richard Coleman, Christophe. Guinet, Robert Harcourt, Sara Labrousse, Benjemin Raymond, Michael Sumner, Natalia Ribeiro
Summary: Depth data from over 500,000 tagged seal dives on the East Antarctic continental shelf improves bathymetry maps and reveals new features. These data help understand the oceanographic processes affecting Antarctica's role in global climate. Incorporating seal dive data improves bathymetry of 22% to 60% of the sampled area, uncovering new features such as troughs and canyons.
COMMUNICATIONS EARTH & ENVIRONMENT
(2023)
Article
Ecology
Yuri Niella, Brett Simes, Andrew Fox, Andrew Wright, Matt Waller, Madeline Riley, Lauren Meyer, Michael Drew, Hugh Pederson, Charlie Huveneers
Summary: This study assessed the response of white sharks to research activities and found that external tagging, biopsies, or deterrent trials do not significantly affect the residency and abundance of white sharks. These changes may be part of natural fluctuations rather than a negative response to the research activities.