Article
Computer Science, Information Systems
Fengying Jin, Rui Li, Jianyuan Liang, Xianyuan Zhang, Huaqiao Xing, Zhipeng Gui, Huayi Wu
Summary: This paper proposes a geospatial service web model named SR-QoS-GSW that addresses the limitations of existing service networks by incorporating expert-defined service chains, considering QoS constraints, and allowing service outputs to be used as inputs. A prototype of the SR-QoS-GSW was developed and evaluated using case studies. The results show that the SR-QoS-GSW can create geospatial service chains efficiently, generate service chains that satisfy optimal QoS constraints, and provide greater flexibility in the service network.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2022)
Review
Automation & Control Systems
Zhou Zhen-yu, Zheng Qiu-yan, Ding Cong, Yan Ju-yu, Piao Zhong-yu
Summary: This paper collects and analyzes data in the SBP field from 1990 to 2020, identifying and describing the research history, hotspots, and frontiers through bibliometric analysis and visualization. The temporal and spatial distribution of publications, influential authors, institutions, and journals are summarized, along with the identification and analysis of keystone publications and a discussion on future development trends.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Computer Science, Information Systems
Soubhagya Ranjan Mallick, Rakesh K. Lenka, Veena Goswami, Suraj Sharma, Asish Kumar Dalai, Himansu Das, Rabindra K. Barik
Summary: Recent research in healthcare systems has focused on integrating IoT, Blockchain, and cloud computing to improve IoT device performance, create smart healthcare platforms, and provide optimal healthcare services. Data collection, processing, geolocation, access management, device prioritization, and storage are primary challenges in IoT healthcare systems. The use of Blockchain technology in healthcare platforms offers data privacy, anonymity, and validity. This paper presents a novel decentralized Blockchain-enabled geospatial service architecture called BCGeo for smart healthcare systems, providing online geospatial healthcare services for newcomers in Bhubaneswar, India. The framework includes immutability, scalability, geospatial mapping, patient prioritization, and decentralized privacy protection policies, addressing technical challenges in current healthcare systems.
Article
Geosciences, Multidisciplinary
Lizhi Miao, Chengliang Liu, Li Fan, Mei-Po Kwan
Summary: The study proposed an OWS Geospatial Data Semantic Similarity Model (OGDSSM) based on ontology semantics to enhance geospatial data service discovery, showing better performance than traditional keyword-based matching methods, with results ranked based on semantic similarity, improving the discovery performance of geospatial data services.
Article
Economics
Tomoya Kawasaki, Zhan Teng Loh, Shinya Hanaoka
Summary: Bangladesh has seen a surge in international trade and freight as a result of its significant economic growth in the past decade. However, the main port of Bangladesh, Chittagong Port, is facing severe congestion in handling the growing freight volume. To address this issue and ensure sustainable economic development, two new ports, Matarbari and Payra, are being constructed. This study highlights the importance of developing and utilizing the intermodal network in Bangladesh to promote the use of these new ports. The results of a Monte Carlo simulation-based model show that waterways are crucial for achieving a shift in freight to the Matarbari port, while railway transportation plays a lesser role due to its geospatial characteristics.
JOURNAL OF TRANSPORT GEOGRAPHY
(2023)
Article
Environmental Sciences
Jiahao Huang, Song Xiang, Shuqin Chen, Wei Wu, Tianyin Huang, Yan Pang
Summary: In recent years, perfluoroalkyl substances (PFASs) have gained attention worldwide due to their detection in various environmental media and their harmful effects on animals and humans. However, systematic analyses of PFASs have been limited. This study uses CiteSpace software to summarize data from 6756 publications (2000-2022) and provides insights into the specific characteristics of PFASs, as well as global development trends for future research directions. The results show that the USA and China are the countries with the most research in this field, with a focus on environmental sciences and ecology. Through the analysis of hot keywords, the study identifies the research hotspots, including transmission media and pathways, human exposure and toxicity mechanisms, and degradation and remediation measures. Overall, this study maps the major research domains of PFAS research and highlights the importance of understanding the development and trends in this field.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Psychology, Multidisciplinary
Youhua Shen, Lehui Huang, Xueshi Wu
Summary: The objective of this research is to gain a better understanding of current research and development in online learning. The study analyzed data from Web of Science and found that the USA, China, and England are the main research countries, while the Open University, Nanyang Technology University, and Monash University are the main research institutions. Major research topics include MOOCs, flipped classrooms, COVID-19, and computer-supported collaborative learning.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Green & Sustainable Science & Technology
Jian Liu, Xiaosu Ma, Yi Zhu, Jing Li, Zong He, Sheng Ye
Summary: This paper presents a geospatial platform for supporting the generation and exploration of urban synthetic populations, providing analytical and visualization tools to quickly generate a complete urban population based on the latest data.
Article
Computer Science, Information Systems
Martin Landa, Lukas Brodsky, Lena Halounova, Tomas Boucek, Ondrej Pesek
Summary: This paper presents the developed system solution for LUCAS in situ data harmonization and distribution. The system utilizes a multi-layer client-server system, providing an OGC compliant interface and a Python API for easy integration into end-to-end workflows. The system also includes a QGIS plugin for interactive retrieval of spatial and temporal subsets of the data.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2022)
Review
Green & Sustainable Science & Technology
Hong Zhu, Jin Li, Zhenjie Yuan, Jie Li
Summary: Spatial accessibility research has witnessed a significant increase in the number of research papers from 1999 to 2022, with a continuous expansion of the research area. Collaboration and research endeavors among countries have deepened, leading to an improvement in paper quality. In addition, influential journals, authors, and articles in the field of spatial accessibility were identified. New data, methods, and technology will play a substantially more critical role in future accessibility research.
Article
Neurosciences
Taiga Abe, Ian Kinsella, Shreya Saxena, E. Kelly Buchanan, Joao Couto, John Briggs, Sian Lee Kitt, Ryan Glassman, John Zhou, Liam Paninski, John P. Cunningham
Summary: A key aspect of neuroscience research is the development of powerful, general-purpose data analyses that process large datasets. This article introduces Neuroscience Cloud Analysis As a Service (NeuroCAAS), an automated open-source analysis platform that offers infrastructure reproducibility, simplifies data analyses, and accelerates their dissemination and use in neuroscientific discovery.
Review
Computer Science, Information Systems
Sohaib Al-Yadumi, Tan Ee Xion, Sharon Goh Wei Wei, Patrice Boursier
Summary: Big data and GIS have had increasing impacts on various fields in the past decade and will continue to address global challenges. Geospatial big data integration plays a crucial role in consolidating datasets from different sources, especially in complex and challenging situations related to healthcare, environment, and other domains.
Article
Medicine, General & Internal
Xiaoli Yang, Hua Yin, Lisi Peng, Deyu Zhang, Keliang Li, Fang Cui, Chuanchao Xia, Haojie Huang, Zhaoshen Li
Summary: This study provides a comprehensive analysis of the global status and research frontiers of studies investigating enteropeptidase (EP) through bibliometric analysis, offering guidance and reference for researchers and clinicians engaged in EP research.
FRONTIERS IN MEDICINE
(2022)
Article
Computer Science, Interdisciplinary Applications
J. Galaz, R. Cienfuegos, A. Echeverria, S. Pereira, C. Bertin, G. Prato, J. C. Karich
Summary: Tsunami simulation software plays a crucial role in advanced early warning systems. However, its complexities hinder its application in other areas of risk management. Recent advancements in software and computing power, such as GPU computing and web browsers, offer opportunities to bridge the gap between expert and non-expert users. A Javascript library is presented here, enabling web browsers to gather and analyze data from tsunami simulations through interactive visualizations.
COMPUTERS & GEOSCIENCES
(2022)
Article
Biotechnology & Applied Microbiology
Zhichao Yao, Zhiyong Lin, Weijia Wu
Summary: Cancer immunotherapy has experienced significant development and increased scientific publications in recent years. This study conducted bibliometric analysis to examine the research on cancer immunotherapy in the past 20 years and identify future hotspots. A total of 18,778 publications were retrieved from the Web of Science Core Collection, with rapid growth in annual publication output. The USA issued the largest number of publications, and the research topics were classified into immune mechanism, cancer biology, immunotherapy, and clinical trials. The shift in popularity towards clinical trials suggests a focus on clinical application in the future. This study provides unbiased visualization analysis for further research.
HUMAN VACCINES & IMMUNOTHERAPEUTICS
(2023)
Article
Remote Sensing
Rory J. Bingham, Keith Haines, Daniel Lea
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2015)
Article
Meteorology & Atmospheric Sciences
David P. Mulholland, Patrick Laloyaux, Keith Haines, Magdalena Alonso Balmaseda
MONTHLY WEATHER REVIEW
(2015)
Article
Meteorology & Atmospheric Sciences
Ed Hawkins, Steffen Tietsche, Jonathan J. Day, Nathanael Melia, Keith Haines, Sarah Keeley
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
(2016)
Editorial Material
Meteorology & Atmospheric Sciences
Debbie Clifford, Raquel Alegre, Victoria Bennett, Jon Blower, Cecelia Deluca, Philip Kershaw, Christopher Lynnes, Chris Mattmann, Rhona Phipps, Iryna Rozum
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
(2016)
Article
Meteorology & Atmospheric Sciences
Matthieu Chevallier, Gregory C. Smith, Frederic Dupont, Jean-Francois Lemieux, Gael Forget, Yosuke Fujii, Fabrice Hernandez, Rym Msadek, K. Andrew Peterson, Andrea Storto, Takahiro Toyoda, Maria Valdivieso, Guillaume Vernieres, Hao Zuo, Magdalena Balmaseda, You-Soon Chang, Nicolas Ferry, Gilles Garric, Keith Haines, Sarah Keeley, Robin M. Kovach, Tsurane Kuragano, Simona Masina, Yongming Tang, Hiroyuki Tsujino, Xiaochun Wang
Article
Geosciences, Multidisciplinary
Xiangbo Feng, Keith Haines, Chunlei Liu, Eric de Boisseson, Irene Polo
GEOPHYSICAL RESEARCH LETTERS
(2018)
Article
Geosciences, Multidisciplinary
D. Mignac, D. Ferreira, K. Haines
GEOPHYSICAL RESEARCH LETTERS
(2019)
Article
Oceanography
L. C. Jackson, C. Dubois, G. Forget, K. Haines, M. Harrison, D. Iovino, A. Koehl, D. Mignac, S. Masina, K. A. Peterson, C. G. Piecuch, C. D. Roberts, J. Robson, A. Storto, T. Toyoda, M. Valdivieso, C. Wilson, Y. Wang, H. Zuo
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
(2019)
Article
Meteorology & Atmospheric Sciences
Bo Dong, Keith Haines, Matthew Martin
Summary: A simple smoother is introduced for data adjustments in sequentially generated reanalysis products, utilizing knowledge of future assimilation increments. The decay time parameter is applied to account for memory decay timescales in the ocean. Results show significant improvements in temperature, salinity, sea surface height, ocean currents, and other variables after applying the smoother method.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2021)
Review
Environmental Sciences
Paul I. Palmer, Caroline M. Wainwright, Bo Dong, Ross I. Maidment, Kevin G. Wheeler, Nicola Gedney, Jonathan E. Hickman, Nima Madani, Sonja S. Folwell, Gamal Abdo, Richard P. Allan, Emily C. L. Black, Liang Feng, Masilin Gudoshava, Keith Haines, Chris Huntingford, Mary Kilavi, Mark F. Lunt, Ahmed Shaaban, Andrew G. Turner
Summary: Eastern Africa experiences bimodal rainfall with long rains and short rains, and changes in rainfall have significant socioeconomic and environmental impacts. Teleconnections like El Nino-Southern Oscillation and the Indian Ocean Dipole play a major role in interannual variability. The long rains have been getting drier while the short rains have become wetter. These patterns affect flooding, droughts, food and energy systems, diseases, and ecosystem stability. Climate projections suggest that by 2030-2040, the short rains will deliver more rainfall than the long rains, posing challenges for agriculture and public health emergencies. Mitigation efforts should focus on agriculture, clean water, medical and emergency infrastructure, and adaptation strategies.
NATURE REVIEWS EARTH & ENVIRONMENT
(2023)
Article
Geosciences, Multidisciplinary
Bo Dong, Ross Bannister, Yumeng Chen, Alison Fowler, Keith Haines
Summary: The paper presents a simplified Kalman smoother that can be used as a post-processing step for large model products like the Earth system reanalyses. By applying a simple decay assumption to cross-time error covariances, the paper demonstrates how the resulting equations relate to the fixed-lag Kalman smoother and can be solved to obtain a smoother analysis and uncertainty estimate. The method is demonstrated in an idealized system and shows significant improvement compared to the original filter analyses.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2023)
Article
Geosciences, Multidisciplinary
Samantha Petch, Bo Dong, Tristan Quaife, Robert P. King, Keith Haines
Summary: This study uses satellite observations to estimate monthly fluxes of terrestrial water and energy budget components over selected large river basins from 2002 to 2013. Prior to optimization, there were imbalances in the water budget and net radiation-turbulent heat fluxes. By integrating flux observations, mismatches in seasonal water storage and important inter-annual variability were found. The optimization process ensures consistency with GRACE observations and reduces uncertainties for individual flux components when compared with previous literature.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2023)
Proceedings Paper
Multidisciplinary Sciences
Alberto Troccoli, Clare Goodess, Phil Jones, Lesley Penny, Steve Dorling, Colin Harpham, Laurent Dubus, Sylvie Parey, Sandra Claudel, Duc-Huy Khong, Philip E. Bett, Hazel Thornton, Thierry Ranchin, Lucien Wald, Yves-Marie Saint-Drenan, Matteo De Felice, David Brayshaw, Emma Suckling, Barbara Percy, Jon Blower
ADVANCES IN SCIENCE AND RESEARCH
(2018)
Article
Geosciences, Multidisciplinary
David Hassell, Jonathan Gregory, Jon Blower, Bryan N. Lawrence, Karl E. Taylor
GEOSCIENTIFIC MODEL DEVELOPMENT
(2017)
Proceedings Paper
Computer Science, Information Systems
Matthew Jones, Jon Blower, Bryan Lawrence, Annette Osprey
HIGH PERFORMANCE COMPUTING, ISC HIGH PERFORMANCE 2016 INTERNATIONAL WORKSHOPS
(2016)
Article
Computer Science, Interdisciplinary Applications
Jeffrey Wade, Christa Kelleher, Barret L. Kurylyk
Summary: This study developed a physically-based water temperature model coupled with the National Water Model (NWM) to assess the potential for water temperature prediction to be incorporated into the NWM at the continental scale. By evaluating different model configurations of increasing complexity, the study successfully simulated hourly water temperatures in the forested headwaters of H.J. Andrews Experimental Forest in Oregon, USA, providing a basis for integrating water temperature simulation with predictions from the NWM.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Shaun SH. Kim, Lucy A. Marshall, Justin D. Hughes, Lynn Seo, Julien Lerat, Ashish Sharma, Jai Vaze
Summary: A major challenge in hydrologic modelling is producing reliable uncertainty estimates outside of calibration periods. This research addresses the challenge by improving model structures and error models to more reliably estimate uncertainty. The combination of the RBS model and SPUE produces statistically reliable predictions and shows better matching performance in tests.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Juan Pedro Carbonell-Rivera, Javier Estornell, Luis Angel Ruiz, Pablo Crespo-Peremarch, Jaime Almonacid-Caballer
Summary: This study presents Class3Dp, a software for classifying vegetation species in colored point clouds. The software utilizes geometric, spectral, and neighborhood features along with machine learning methods to classify the point cloud, allowing for the recognition of species composition in an ecosystem.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Zhi Li, Daniel Caviedes-Voullieme, Ilhan Oezgen-Xian, Simin Jiang, Na Zheng
Summary: The optimal strategy for solving the Richards equation numerically depends on the specific problem, particularly when using GPUs. This study investigates the parallel performance of four numerical schemes on both CPUs and GPUs. The results show that the scaling of Richards solvers on GPUs is influenced by various factors. Compared to CPUs, parallel simulations on GPUs exhibit significant variation in scaling across different code sections, with poorly-scaled components potentially impacting overall performance. Nonetheless, using GPUs can greatly enhance computational speed, especially for large-scale problems.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Ludovic Cassan, Leo Pujol, Paul Lonca, Romain Guibert, Helene Roux, Olivier Mercier, Dominique Courret, Sylvain Richard, Pierre Horgue
Summary: Methods and algorithms for measuring stream surface velocities have been continuously developed over the past five years to adapt to specific flow typologies. The free software ANDROMEDE allows easy use and comparison of these methods with image processing capabilities designed for measurements in natural environments and with unmanned aerial vehicles. The validation of the integrated algorithms is presented on three case studies that represent the targeted applications: the study of currents for eco-hydraulics, the measurement of low water flows and the diagnosis of hydraulic structures. The field measurements are in very good agreement with the optical measurements and demonstrate the usefulness of the tool for rapid flow diagnosis for all the intended applications.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Mariia Kozlova, Robert J. Moss, Julian Scott Yeomans, Jef Caers
Summary: This paper introduces a framework for quantitative sensitivity analysis using the SimDec visualization method, and tests its effectiveness on decision-making problems. The framework captures critical information in the presence of heterogeneous effects, and enhances its practicality by introducing a formal definition and classification of heterogeneous effects.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Chad R. Palmer, Denis Valle, Edward V. Camp, Wendy-Lin Bartels, Martha C. Monroe
Summary: Simulation games have been used in natural resource management for education and communication purposes, but not for data collection. This research introduces a new design process which involves stakeholders and emphasizes usability, relevance, and credibility testing criteria. The result is a finalized simulation game for future research.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Tao Wang, Chenming Zhang, Ye Ma, Harald Hofmann, Congrui Li, Zicheng Zhao
Summary: This study used numerical modeling to investigate the formation process of iron curtains under different freshwater and seawater conditions. It was found that Fe(OH)3 accumulates on the freshwater side, while the precipitation is inhibited on the seaward side due to high H+ concentrations. These findings enhance our understanding of iron transformation and distribution in subterranean estuaries.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Grant Hutchings, James Gattiker, Braden Scherting, Rodman R. Linn
Summary: Computational models for understanding and predicting fire in wildland and managed lands are becoming increasingly impactful. This paper addresses the characterization and population of mid-story fuels, which are not easily observable through traditional survey or remote sensing. The authors present a methodology to populate the mid-story using a generative model for fuel placement, which can be calibrated based on limited observation datasets or expert guidance. The connection of terrestrial LiDAR as the observations used to calibrate the generative model is emphasized. Code for the methods in this paper is provided.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Saswata Nandi, Pratiman Patel, Sabyasachi Swain
Summary: IMDLIB is an open-source Python library that simplifies the retrieval and processing of gridded meteorological data from IMD, enhancing data accessibility and facilitating hydro-climatic research and analysis.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Pengfei Wu, Jintao Liu, Meiyan Feng, Hu Liu
Summary: In this paper, a new flow distance algorithm called D infinity-TLI is proposed, which accurately estimates flow distance and width function using a two-segment-distance strategy and triangulation with linear interpolation method. The evaluation results show that D infinity-TLI outperforms existing algorithms and has a low mean absolute relative error.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
