Article
Business, Finance
Ezzedine Ghlamallah, Christos Alexakis, Michael Dowling, Anke Piepenbrink
Summary: This study provides a comprehensive structure to research on Islamic economics and finance through probabilistic topic modeling, identifying 11 topics that cover economic, finance, and morality issues. The analysis can be used to guide ongoing research agendas in this field and highlight the differences between Islamic and conventional approaches to economics and finance research.
INTERNATIONAL REVIEW OF ECONOMICS & FINANCE
(2021)
Article
Computer Science, Artificial Intelligence
Dejian Yu, Bo Xiang
Summary: Artificial Intelligence (AI) has significantly impacted various aspects of social life. This study analyzed 177,204 documents published from 1990 to 2021 in AI research and used the LDA model to extract 40 topics from the abstracts. The study identified 7 subfields in the AI field and aggregated the results to understand research characteristics from different perspectives. These findings are valuable for researchers and institutions in selecting research directions and for newcomers to comprehend the dynamics of the field.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Green & Sustainable Science & Technology
Hosang Jung, Boram Kim
Summary: The analysis found that the target field of asset management has expanded, while the main activities of asset management remain limited to several popular activities such as life cycle cost analysis and reliability analysis. Some implications and future research directions are also discussed.
Article
Multidisciplinary Sciences
Leacky Muchene, Wende Safari
Summary: The study utilized a two-stage topic modeling approach, using Latent Dirichlet Allocation for per-document topic probability derivation in the first stage, and hierarchical clustering with Hellinger distance for final topic cluster discovery in the second stage. The analysis revealed dominant research themes at the University of Nairobi, including HIV and malaria research, agricultural and veterinary services research, as well as cross-cutting themes in humanities and social sciences, demonstrating the effectiveness of hierarchical clustering in organizing discovered latent topics into homogeneous clusters.
Article
Public, Environmental & Occupational Health
Shuang Liu, Ru-Yuan Zhang, Tomoko Kishimoto
Summary: The study utilized LDA to extract hot research topics in clinical psychology, indicating certain topics have remained popular over the years while others are showing an upward trend.
PSYCHOLOGY HEALTH & MEDICINE
(2021)
Article
Genetics & Heredity
Malik Yousef, Daniel Voskergian
Summary: Medical document classification is a challenging research problem within text classification, and TextNetTopics proposes a novel approach of feature selection based on Bag-of-topics instead of the traditional Bag-of-words. The approach, using the G-S-M method, scores topics to select the top topics for training the classifier, leading to improved accuracy.
FRONTIERS IN GENETICS
(2022)
Article
Social Sciences, Interdisciplinary
Emiliano del Gobbo, Sara Fontanella, Annalina Sarra, Lara Fontanella
Summary: This study focuses on the online debate surrounding the Brexit process, utilizing approximately 33 million Brexit-related tweets shared on Twitter over 58 weeks. Through static and dynamic topic modeling techniques, the study identified the most attention-grabbing topics among Twitter users and characterized their temporal evolution.
SOCIAL INDICATORS RESEARCH
(2021)
Article
Psychology, Multidisciplinary
Yu-Leung Ng, Zhihuai Lin
Summary: This study utilized ecologically valid social media data to identify motivations and relevant topics regarding the interaction with conversational AI. It found six conversation topics and examined their changes over time. The study suggests that members in Reddit communities share motivations for interacting with conversational AI and collaboratively discuss relevant issues and solutions for better practice.
COMPUTERS IN HUMAN BEHAVIOR
(2022)
Article
Computer Science, Interdisciplinary Applications
Alice Tontodimamma, Eugenia Nissi, Annalina Sarra, Lara Fontanella
Summary: The exponential growth of social media has led to an increasing propagation of hate speech, prompting international initiatives to address this serious issue. Research has identified three main areas of focus: the debate between hate speech and freedom of expression, the use of machine learning for automatic detection and classification of hate speech, and the study of gendered hate speech and cyberbullying. Understanding the interaction of research fronts emphasizes the importance of machine learning approaches in accurately assessing online hate speech.
Article
Engineering, Civil
Ahmed Elsayed, Sarah Rixon, Christina Zeuner, Jana Levison, Andrew Binns, Pradeep Goel
Summary: Loss of nutrients can cause environmental problems in surface water and groundwater. Protecting these water sources is crucial. Existing studies on nutrient transport often focus on specific water systems and neglect other systems. This study used a text mining algorithm to identify key topics and research gaps in nutrient transport. Five research gaps were identified, including the need for integrated models and the study of climate change and crop management on nutrient transport.
JOURNAL OF HYDROLOGY
(2023)
Article
Chemistry, Analytical
Uttam Chauhan, Shrusti Shah, Dharati Shiroya, Dipti Solanki, Zeel Patel, Jitendra Bhatia, Sudeep Tanwar, Ravi Sharma, Verdes Marina, Maria Simona Raboaca
Summary: This study proposes a DFA-based lemmatization technique for the Gujarati language, which transforms lemmas into their root words and infers a set of topics from the lemmatized corpus. The results show that lemmatization reduces the size of vocabulary by 16% and improves the semantic coherence of the topics measured by Log Conditional Probability, Pointwise Mutual Information, and Normalized Pointwise Mutual Information.
Review
Mathematics
Sunghwan Hwang, Eunhye Cho
Summary: This study conducted a systematic analysis of 3485 scholarly articles published from 1987 to 2021 to identify major research topics and trends in mathematics teachers' knowledge. It found that topics related to teachers' professional development, pedagogical content knowledge, and students' mathematical understanding are the most popular, with consistent popularity over time. These results provide valuable insights for future research in the field.
Article
Chemistry, Multidisciplinary
Alessia M. R. Tortora, Valentina Di Pasquale, Chiara Franciosi, Salvatore Miranda, Raffaele Iannone
Summary: Maintenance is crucial for achieving high business performance and ensuring system availability and reliability. The skills and competences of operators play a significant role in the effectiveness of maintenance activities. While previous literature has addressed human issues in industrial maintenance, the integration of new technologies in manufacturing operations presents new challenges and research opportunities in understanding the role of maintenance operators. This study provides insights into the current state and future research trends of maintenance operators in manufacturing systems through a systematic literature review and topic modelling algorithm.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Information Systems
Joao Henriques, Joao Ferreira
Summary: The goal of this research is to find associations between trending topics and companies on social media platforms, and a prototype called HotRivers was developed for this purpose. The study applied text mining techniques to process tweets and train personalized company models, resulting in a list of trending topics matched to the target companies. The results showed associations between trending topics and companies.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Environmental Sciences
D. Tomojiri, K. Takaya, T. Ise
Summary: The study used the LDA model to infer the research topics about anthropogenic marine debris (AMD) and provide an overview of the research area. The results showed that the AMD research topics were mostly applied topics in interdisciplinary or transdisciplinary research areas. Furthermore, topics related to plastic pollution exhibited an upward trend, while those dealing with spatiotemporal dynamics and distribution patterns of marine debris showed a downward trend.
MARINE POLLUTION BULLETIN
(2022)
Review
Biodiversity Conservation
Darren Southwell, Sarah Legge, John Woinarski, David Lindenmayer, Tyrone Lavery, Brendan Wintle
Summary: This article discusses the impact of the 2019-2020 fires in Australia on threatened species and considerations for emergency survey design, emphasizing the urgency and complexity of post-wildfire surveys.
DIVERSITY AND DISTRIBUTIONS
(2022)
Article
Ecology
David Lindenmayer, Lachlan McBurney, Wade Blanchard
Summary: Large quantities of dead wood generated by disturbances like wildfires play critical ecological roles in forest ecosystems globally. A 10-year study in southeastern Australia revealed that 23% of measured trees collapsed between 2011 and 2021, with smaller diameter trees and trees in fragmented patches being more prone to collapse. The potential loss of dead trees by 2030 could have major negative effects on biodiversity conservation in ash-type forests.
Article
Biodiversity Conservation
Stephen G. Kearney, James E. M. Watson, April E. Reside, Diana O. Fisher, Martine Maron, Tim S. Doherty, Sarah M. Legge, John C. Z. Woinarski, Stephen T. Garnett, Brendan A. Wintle, Euan G. Ritchie, Don A. Driscoll, David Lindenmayer, Vanessa M. Adams, Michelle S. Ward, Josie Carwardine
Summary: Earth's extinction crisis is worsening and threat classification schemes are crucial for assessing the drivers and threats causing species declines. However, there is a lack of a complementary framework for evaluating the conservation responses needed to reduce these threats. In this study, an expert-driven threat-abatement framework was developed and applied to 1532 threatened species in Australia, highlighting the importance of retaining and restoring habitat, controlling invasive species and diseases, and improving fire management for species recovery. Integrated management responses are necessary for the survival and recovery of most species.
BIOLOGICAL CONSERVATION
(2023)
Article
Biology
Nathan J. Butterworth, M. Eric Benbow, Philip S. Barton
Summary: Ephemeral resource patches (ERPs) are short-lived resources that enhance ecosystem heterogeneity and have influenced the evolutionary trajectories of organisms. This study distinguishes ERPs from other resource types, identifies their shared spatiotemporal characteristics, and explores their ecological and evolutionary influences. The authors provide a conceptual framework integrating ERP dynamics with organism adaptation, ecosystem structure, and biodiversity management.
BIOLOGICAL REVIEWS
(2023)
Article
Forestry
David B. Lindenmayer, Marta Yebra, Geoffrey J. Cary
Summary: Plantations of trees are important for wood supply but also pose fire risks. Greater consideration of fire risks in planning is needed, including the choice of tree species and their placement based on climatic and environmental factors. Other factors like landscape configuration and new technologies for fire detection and suppression should also be considered. Better planning and management of wildfires in plantations is essential due to their significance and potential danger to human safety.
FOREST ECOLOGY AND MANAGEMENT
(2023)
Article
Forestry
Elle J. Bowd, Lachlan McBurney, David B. Lindenmayer
Summary: Under the current trajectory of accelerated climatic and environmental change, many forests are at risk of regeneration failure and subsequent transition to alternate stable states. Detailed empirical understanding of these alternative states is limited. Using a manipulative experiment, we found that frequent stand-replacing disturbance can result in regeneration failure in ash-type eucalypt forests in Australia. These shifts to alternative stable states can have severe ecological implications and require management interventions to conserve forest integrity.
FOREST ECOLOGY AND MANAGEMENT
(2023)
Article
Biology
David B. Lindenmayer, Elle J. Bowd, Philip Gibbons
Summary: Wildfires pose challenges to forest restoration due to their varied impacts on vegetation and biodiversity. Appropriate management interventions, such as prescribed burning, excluding activities that hinder post-fire recovery, and artificial seeding, should be selected to achieve favorable restoration outcomes in different ecosystems.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2023)
Article
Biology
Jiajia Liu, Xiaofeng Jin, Shenhao Yao, Yuan Wang, Yifei Lu, Qianyu Chen, Chuping Wu, Ferry Slik, David Lindenmayer
Summary: The discovery rates of new plant species should be accelerated to prevent extinction before formal description. Current studies have focused on the occurrence and characteristics of new species, but limited attention has been given to the taxonomists who discover and describe them. Using China as a case study, we found that recently described species are mostly endemic, and the proportion of species described by resident Chinese taxonomists has increased over time. In contrast, species discoveries by non-resident experts, often non-endemic, have shown signs of leveling off. This study highlights the need for training, support, and collaboration with resident taxonomists in megadiverse countries with high potential for discovering undescribed plant species.
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2023)
Article
Ecology
Shilu Zheng, Juntao Hu, Zhijun Ma, David Lindenmayer, Jiajia Liu
Summary: The authors used body size data from mammal and bird museum collections in North America to show that intraspecific variation in body size has increased over time, while mean body size has not changed. Previous studies have mainly focused on the declining average body size of animals, and less is known about long-term changes in intraspecific trait variation, which is crucial for understanding species' ability to cope with environmental challenges.
NATURE ECOLOGY & EVOLUTION
(2023)
Review
Ecology
Jessica L. L. Williams, David Lindenmayer, Brett Mifsud
Summary: Large old trees in Australia, such as the Mountain Ash, play critical ecological roles. By collating information about the tallest and largest trees in the country, we can identify priority species and areas for conservation. Documenting the size, condition, and location of these trees will enable monitoring and potential preservation efforts.
Article
Biodiversity Conservation
D. B. Lindenmayer, W. Blanchard, M. J. Evans, R. Beggs, T. Lavery, D. Florance, C. Crane, D. Smith, A. Siegrist, E. Lang, B. C. Scheele
Summary: This study found that the Noisy Miner bird species in Australia poses a threat to other bird species. The study also revealed that environmental factors such as tree cover and net primary productivity influence the impact of the Noisy Miner. Therefore, protecting refugia characterized by high net primary productivity and tree cover is crucial for the conservation of woodland bird communities in areas with deforestation.
DIVERSITY AND DISTRIBUTIONS
(2023)
Article
Ecology
Jackie L. O'Sullivan, Claire N. Foster, Damian R. Michael, Wade Blanchard, David B. Lindenmayer
Summary: Understanding the factors that influence retreat-site selection by fauna is important for habitat management and species conservation. However, there is limited knowledge about the attributes of surface rocks that contribute to their use in agricultural landscapes, especially during the winter months when reptiles are brumating.
Article
Environmental Studies
David B. Lindenmayer
Summary: Tens of thousands of species are at risk of extinction globally, and forest degradation can profoundly affect biodiversity. This study presents a detailed case study of species declines associated with forest degradation in southeastern Australia's montane ash forests. The study highlights the key drivers of declines, including logging, wildfire, habitat loss, climate change, and policy failures. Lessons for better conservation and forest management efforts are discussed, emphasizing the need to address the conflicts between conservation and logging policies.
Review
Medicine, Legal
Blake M. Dawson, Maiken Ueland, David O. Carter, Donna Mclntyre, Philip S. Barton
Summary: Knowledge of the decomposition of vertebrate animals has advanced considerably in recent years, but has not been fully incorporated into research or models of the postmortem interval (PMI). We propose using recent advances in decomposition theory to guide forensic research and understanding of the PMI. To improve in this area, a conceptual framework is introduced that highlights the multiple interdependencies affecting decay rates and calls for a multidisciplinary approach and an adaptive research cycle.
INTERNATIONAL JOURNAL OF LEGAL MEDICINE
(2023)
Article
Ecology
James Vandersteen, Christopher Fust, Mathew S. Crowther, Matt Smith, Benjamin Viola, Philip Barton, Thomas M. Newsome
Summary: This study examined the influence of season on carcass-detection times and scavenging rates by vertebrate scavengers in the Australian Alps. The results showed significant seasonal variations in both carcass-detection times and scavenging rates. The study highlights the importance of considering seasonal effects in understanding scavenging dynamics and ecosystem processes in alpine and other seasonal environments.
