Review
Geosciences, Multidisciplinary
Konstantina Vasileiou, Julie Barnett, Danae Stanton Fraser
Summary: The participation of local communities in disaster risk management and early warning systems is crucial. Motivations for knowledge integration come from real life challenges, empowering communities and producing interventions responsive to local needs. The processes of knowledge integration are participatory and interactive.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2022)
Article
Computer Science, Theory & Methods
Jared Willard, Xiaowei Jia, Shaoming Xu, Michael Steinbach, Vipin Kumar
Summary: There is a growing consensus that solving complex science and engineering problems requires innovative methods that integrate traditional physics-based modeling with advanced machine learning techniques. This article offers a comprehensive overview of such techniques, summarizing their application areas and describing the methodologies used to construct physics-guided ML models and hybrid physics-ML frameworks. Additionally, a taxonomy of existing techniques is provided, revealing knowledge gaps and potential crossovers between disciplines that can inspire future research.
ACM COMPUTING SURVEYS
(2023)
Article
Biodiversity Conservation
Claire L. Singer, Melanie R. Routh, Michele J. Grabke, Leon Andrew, Aimee Guilere, Aimee Guile, Alestine Andre, Allison Thompson, Deborah Simmons, Kaytlin Cooper, Lynda Yonge, Moise Rabesca, Nicholas C. Larter, Petter Jacobsen, Rosemin Nathoo, Janet Winbourne, Adam Bathe
Summary: Interest in incorporating Indigenous knowledge into species at risk assessments is growing, but there are challenges in implementing it in international, national, and regional organizations. The Species at Risk Committee of the Northwest Territories in Canada developed a process that considers Indigenous knowledge alongside scientific knowledge. This allows for a more equitable consideration of different knowledge sources and better reflects the biocultural linkages.
BIOLOGICAL CONSERVATION
(2023)
Article
Biodiversity Conservation
Annie Claude Belisle, Sylvie Gauthier, Hugo Asselin
Summary: Major environmental changes significantly affect the well-being of Indigenous people in boreal landscapes. Collaboration between Indigenous communities and researchers is crucial for assessing and mitigating these changes. This study compared the perspectives of Indigenous and scientific communities on environmental changes in boreal landscapes of Quebec, Canada. The findings showed both convergences and divergences between the two perspectives, with forestry being identified as a major driver of change in both. Climate change and wildfires were of greater interest to the scientific community, while issues related to mining, hydro-power, and forest road development were specific to the Indigenous perspective. The study highlights the importance of collaborative research and reciprocal knowledge transfer to align research with the concerns and needs of Indigenous communities.
Article
Environmental Sciences
Carolyn M. Gibson, Todd Brinkman, Helen Cold, Dana Brown, Merritt Turetsky
Summary: Understanding the causes and consequences of environmental change is a key challenge for researchers today. The thawing of permafrost in high latitude regions is causing widespread changes, highlighting the importance of integrating scientific and community-based knowledge sources to understand the impacts on land-users.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Biodiversity Conservation
Katharina Dehnen-Schmutz, Oliver L. Pescott, Olaf Booy, Kevin J. Walker
Summary: Knowledge of the impacts of invasive species is crucial for their management and policy decisions. This study examined how British and Irish botanical experts assessed the impacts of invasive plants in their familiar areas. The findings revealed that Himalayan balsam, Japanese knotweed, and Rhododendron ponticum were considered to have the highest impacts across all regions. Furthermore, four of the top 10 species with the highest impacts in Great Britain were also identified in this study. The study highlights the importance of local knowledge in identifying invasive species and their impacts on native species and habitats.
Article
Green & Sustainable Science & Technology
Syahrul Yasin Limpo, Imam Mujahidin Fahmid, Abdul Fattah, Abdul Wahid Rauf, Elza Surmaini, Muslimin, Saptana, Haris Syahbuddin, Kuntoro Boga Andri
Summary: This study explores the indigenous knowledge practices in rice cultivation of the Bugis-Makassar farmer community, as well as the integration of indigenous and scientific knowledge into decision making. Results indicate that indigenous knowledge is slowly disappearing, but the existence of Tudang Sipulung helps to inhibit the fading of local wisdom. It is recommended to engage young farmers in the understanding and preservation of indigenous and scientific knowledge.
Article
Green & Sustainable Science & Technology
Yu Zhang, John A. Rupp, John D. Graham
Summary: This study examines whether public perceptions of the advantages and disadvantages of fracking align with evidence-based assessments. Findings show that the public perceive disadvantages as more important than scientific evidence suggests, with some disadvantages lacking supporting evidence or having inadequate evidence. The comparison has significant implications for understanding the controversy surrounding fracking.
Article
Fisheries
Ingeborg J. de Boois, Nathalie A. Steins, Floor J. Quirijns, Marloes Kraan
Summary: Dutch fishers have been participating in the North Sea beam trawl survey as observers since 2007, providing constructive feedback based on their experience. The discussions about the survey have become more positive since fishers joined, leading to increased trust in survey methods and the scientific crew within the fishing industry.
ICES JOURNAL OF MARINE SCIENCE
(2021)
Article
Mathematics, Interdisciplinary Applications
Adriel M. F. Martins, Leonardo H. S. Fernandes, Abraao D. C. Nascimento
Summary: This research proposes a new statistical confidence interval estimation method for information theory quantifiers and applies it to GDP time series data of 25 OECD countries. The results show that the information theory quantifiers can quantify the disorder and randomness in the GDP time series, and evaluate the efficiency of resource allocation. The study also finds that Principal Component Analysis produces similar results as the macroeconophysics indicator, and information theory quantifiers can be used for clustering analysis of GDP similarity and mutual influences among countries.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Pharmacology & Pharmacy
Sarah Serhal, Carol Armour, Laurent Billot, Ines Krass, Lynne Emmerton, Bandana Saini, Sinthia Bosnic-Anticevich, Bonnie Bereznicki, Luke Bereznicki, Sana Shan, Anna Campain
Summary: This study conducted a novel assessment of patient adherence to asthma controller therapy by combining patient-specific dosage data found in pharmacy dispensing data with centrally collected administrative claims records. The study found low levels of adherence among asthma patients regardless of the data source used. The results also showed that combining claims records and pharmacy dispensing data provided more meaningful insights than using either source alone.
FRONTIERS IN PHARMACOLOGY
(2022)
Article
Computer Science, Information Systems
Jing Wang, Hao Li, Xu Du, Jui-Long Hung, Shuoqiu Yang
Summary: This study proposes a dual-channel model, S-KMN, to enrich the representation of questions from both semantic and knowledge perspectives. Experimental results show that S-KMN outperforms existing methods in selecting knowledge-specific features.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2023)
Article
Multidisciplinary Sciences
Elise Acheson, Ross S. Purves
Summary: Scientific articles often include geographic information, but in natural language without machine-readable metadata. Automatically extracting this information can help with meta-analyses and identifying geographic research gaps.
Review
Environmental Studies
Adrian C. Newton
Summary: Progress is being made in assessing the conservation status of ecosystems, but there are concerns regarding the scientific understanding of ecosystem collapse. Strengthening the scientific basis of collapse risk assessments through defining concepts and reviewing theoretical foundations is essential. Additional research is needed to improve current understanding and potential implications for conservation policy and practice.
Article
Computer Science, Artificial Intelligence
Longlong He, Wei Guo, Pingyu Jiang
Summary: This paper presents a novel triple deep workflow model for P-DSPS to address production decision support problems, featuring retrieval of alternative solutions from domain knowledge-driven solution flow and evaluation of expert knowledge collaboration based on task event-driven control flow strategy and operation logic.
ADVANCED ENGINEERING INFORMATICS
(2021)
