Article
Business, Finance
Paresh Kumar Narayan, Dinh Hoang Bach Phan, Guangqiang Liu
Summary: This study finds that government responses of G7 countries to COVID-19 have a positive effect on stock market returns, with lockdowns being particularly effective in mitigating the impact of the pandemic.
FINANCE RESEARCH LETTERS
(2021)
Review
Biochemical Research Methods
Yuan-Qin Huang, Ping Sun, Yi Chen, Huan-Xiang Liu, Ge-Fei Hao, Bao-An Song
Summary: Drug resistance is a major issue impacting human health and agriculture. Developing approaches to address target mutation-induced drug resistance is crucial in biological research. Bioinformatics tools have been developed over the past decade to explore this type of drug resistance, offering a cost-effective and efficient means of analysis. However, these tools are underutilized and their strengths and limitations have not been thoroughly evaluated. This study systematically surveyed 59 freely available bioinformatics tools and analyzed their functionality, data volume, source, operating principle, and performance. The study also discussed the strengths, limitations, and application examples of these tools, providing a valuable toolbox for researchers in biomedical, pesticide, bioinformatics, and pharmaceutical engineering fields, as well as a platform for non-specialists to understand drug resistance prediction.
BRIEFINGS IN BIOINFORMATICS
(2023)
Article
Environmental Studies
Andrea Leuenberger, Mirko S. Winkler, Isaac Lyatuu, Herminio Cossa, Hyacinthe R. Zabre, Dominik Dietler, Andrea Farnham
Summary: Large infrastructure projects can have health impacts on surrounding communities. Community-driven and equity-oriented approaches are needed to predict and manage these impacts. We present a suite of qualitative data collection tools to assess health impacts as perceived by vulnerable communities in sub-Saharan Africa. These tools produce reliable and comparable findings and can be applied in various large infrastructure project settings.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2022)
Article
Computer Science, Information Systems
Mohammad Alsaffar, Saud Aljaloud, Badiea Abdulkarem Mohammed, Zeyad Ghaleb Al-Mekhlafi, Tariq S. Almurayziq, Gharbi Alshammari, Abdullah Alshammari
Summary: The aim of this research is to improve internet functions for preventing XSS attacks by creating a program that detects XSS vulnerabilities through complete mapping of internet applications. The innovation lies in using efficient algorithms to locate abnormal XSS vulnerabilities and including pre-approved XSS vulnerability scanning in tested internet applications to generate a comprehensive internet resource map.
Article
Forestry
Antonio D. del Campo, Guillem Segura-Orenga, Antonio J. Molina, Maria Gonzalez-Sanchis, Santiago Reyna, Javier Hermoso, Carlos J. Ceacero
Summary: This study utilizes machine learning techniques to identify key traits for successful survival of seedlings in harsh conditions. Early growth traits play a significant role in seedling survival, while the quality of stock at the nursery stage has less impact. The results of this study can be used to refine the regional quality standards for harsh conditions.
Article
Computer Science, Artificial Intelligence
Lewis Evans, Majdi Owda, Keeley Crockett, Ana Fernandez Vilas
Summary: Social media, especially Twitter, has been used by investors to discuss stock exchange-listed companies, highlighting the importance of credible information for making well-informed investment decisions. This paper introduces a novel methodology to assess the credibility of financial stock market tweets, demonstrating that combining general and financial features in classifiers can improve performance. Random Forest was found to be the top performer, although it required more features compared to other classifiers.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Chemistry, Analytical
Marcin Borowiec, Rafal Piszko, Tomasz Rak
Summary: Predicting workload characteristics is essential for optimizing server configuration and ensuring Quality of Service in web systems. However, it is challenging to analyze client behavior and predict workload using simulation models. Additionally, the constantly changing network traffic characteristic and large system logs make it difficult for data mining research. This study investigates prepared trace contents from web system benchmarks and proposes traffic classification to understand client behavior. The case study involving an online stock trading application in the cloud shows that the proposed analysis improves the understanding of request scenarios and parameter selection. This work is valuable for practitioners and researchers in log analysis to enhance service reliability.
Article
Business, Finance
Hao Fang, Chien-Ping Chung, Yang-Cheng Lu, Yen-Hsien Lee, Wen-Hao Wang
Summary: This study uses fintech approaches to investigate the impacts of investors' optimism and pessimism on stock returns. Results show that firms with optimistic sentiments have significantly higher stock returns, while those with pessimistic sentiments have opposite effects. The effects of optimism and pessimism on stock returns subsequently reverse, with optimism increasing volatility and pessimism decreasing it.
INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS
(2021)
Article
Chemistry, Physical
Jonathan Quinson, Sebastian Kunz, Matthias Arenz
Summary: The ultimate research goal in catalysis is to develop new catalysts with superior activity, stability, and selectivity. However, a complete understanding of the factors influencing the performance of supported catalysts remains challenging. Systematic studies that change one experimental parameter at a time provide detailed insights into optimizing supported precious metal nanoparticles for energy and chemical conversion processes.
Article
Computer Science, Software Engineering
Bart Bogaerts, Bas Ketsman, Younes Zeboudj, Heba Aamer, Ruben Taelman, Ruben Verborgh
Summary: Link traversal-based query processing (ltqp) is a technique that evaluates sparql queries over a web of documents instead of a single dataset. It is often seen as interesting but impractical. However, a decentralized Web of Data with a document-based interface is appealing in the time of data hypercentralization. The paper proposes that data publishers should suggest sources of interest and guide data consumers towards relevant and trustworthy data, and introduces a theoretical framework for guided link traversal.
THEORY AND PRACTICE OF LOGIC PROGRAMMING
(2023)
Article
Chemistry, Multidisciplinary
Max E. Huber, Lara Toy, Maximilian F. Schmidt, Hannah Vogt, Julian Budzinski, Martin F. J. Wiefhoff, Nicole Merten, Evi Kostenis, Dorothee Weikert, Matthias Schiedel
Summary: By developing a chemical biology toolbox targeting CCR9, we identified a new intracellular CCR9 antagonist and the first PROTAC targeting IABS of GPCRs, providing a novel approach to modulate GPCR activity.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
(2022)
Article
Environmental Sciences
Raymond Nepstad, Konstantinos Kotzakoulakis, Tor Nordam, JoLynn Carroll
Summary: We propose a novel approach for assessing environmental risks of discharges of produced water, taking into account explicit impact and probability. Our approach combines transport, fate, and toxicokinetic-toxicodynamic models within a super-individual framework, with a probabilistic element obtained from ensemble simulations. By considering location and species specificity, our approach addresses the dynamic nature of exposure and uptake of produced water components in the sea. Using a case study of early life stages of spawning haddock in the Barents Sea, we demonstrate the feasibility of conducting model-based risk assessments that capture the effects of natural variations in environmental conditions. We also discuss the benefits, limitations, and potential for further improvements of our approach.
MARINE POLLUTION BULLETIN
(2023)
Article
Biochemical Research Methods
Joshua M. Toth, Paul J. DePietro, Juergen Haas, William A. McLaughlin
Summary: The ResiRole method is used to assess the quality of protein structure models, ranking structure prediction techniques based on round-robin comparisons using difference scores. These difference scores show strong correlation with other model quality metrics and are able to detect additional local structural similarities between the structure models and reference structures.
Review
Computer Science, Information Systems
Mingrui Huang, Xiangtao Fan, Hongdeng Jian, Hongyue Zhang, Liying Guo, Liping Di
Summary: The Open Geospatial Consortium (OGC) is an international organization that aims to standardize geospatial information and services, making them findable, accessible, interoperable, and reusable. This study found that OGC specifications have been widely applied in academic fields, with Wuhan University and George Mason University being the most productive organizations. The most common keywords were interoperability, data, and web service. Emerging keywords such as 3D city models, 3D modeling, and smart cities have attracted much attention from researchers. OGC specifications, such as SWE, WMS, WPS, and WCS, contribute to the FAIR principles in different ways. The OGC specification also plays a role in providing data and web services for large-scale infrastructure projects like the Digital Earth Platform of the Chinese Academy of Sciences.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2022)
Editorial Material
Surgery
Steven Yule, Joseph A. Dearani, Carla Pugh
Summary: This article discusses the widespread implementation of surgical video replay to improve the technical and nontechnical performance of surgeons.
Article
Fisheries
Catherine M. Dichmont, Natalie A. Dowling, Sean Pascoe, Toni Cannard, Rachel J. Pears, Sian Breen, Tom Roberts, George M. Leigh, Marc Mangel
Summary: Over the past 50 years, there has been a shift in actively managed fisheries from primarily data-rich industrial sectors to more socially, economically, and environmentally complex multispecies and multisector fisheries. This change has led to a broadening of management objectives to include social and economic considerations, known as the triple bottom line, which are incorporated into harvest strategies. The need for a paradigm shift towards more representative participatory management systems and a broader set of objectives is highlighted, along with the modification of tools and data collection methods to support these strategies.
ICES JOURNAL OF MARINE SCIENCE
(2021)
Article
Fisheries
Cristian M. Canales, Andre E. Punt, Mauricio Mardones
Summary: This study introduces a Length-Based Pseudo-cohort Analysis (LBPA) model for estimating stock status in data-poor fisheries using multiple length-frequency samples, showing better performance compared to traditional methods. Simulations indicate that LBPA outperforms the length-based spawning potential ratio (LBSPR), especially under high exploitation rates.
FISHERIES RESEARCH
(2021)
Article
Fisheries
Tobias K. Mildenberger, Casper W. Berg, Alexandros Kokkalis, Adrian R. Hordyk, Chantel Wetzel, Nis S. Jacobsen, Andre E. Punt, J. Rasmus Nielsen
Summary: The study compares the effectiveness of two precautionary approaches in recovering over-exploited fish stocks, finding that both methods reduce the risk of overfishing at the expense of expected yield. The success of these strategies depends on HCRs, life-history parameters, and the level of scientific uncertainty.
FISH AND FISHERIES
(2022)
Article
Biodiversity Conservation
Laura K. Blamey, Eva E. Plaganyi, Trevor Hutton, Roy A. Deng, Judy Upston, Annie Jarrett
Summary: This study tested the robustness of harvest control rules for a large prawn stock in Australia to environmental variability using a management strategy evaluation approach. Model fits to catch per unit effort were good, and stakeholders ultimately selected a permanent closure of the first fishing season as the optimal management option. This simulation approach enabled the selection of an optimal yet pragmatic solution for addressing economic and conservation objectives under a variable environment with extreme events.
CONSERVATION BIOLOGY
(2022)
Article
Oceanography
Georgina A. Gibson, Matthew R. Baker, William T. Stockhausen, Sarah Hinckley, Carolina Parada, Kerim Aydin, Kenneth O. Coyle, Albert J. Hermann, Thomas P. Hurst, Andre E. Punt
Summary: The Gulf of Alaska Integrated Ecosystem Research Program (GOAIERP) conducted a multi-disciplinary study to examine the influence of the environment on the survival and recruitment of early life stages of commercially and ecologically important groundfish species. The integration of Eulerian ecosystem models and Lagrangian Individual-Based Models provided valuable insights into recruitment processes and their potential application to fisheries management. However, coordination between model development, experimentation, and field sampling is challenging and requires careful consideration of data analysis and model validation.
DEEP-SEA RESEARCH PART II-TOPICAL STUDIES IN OCEANOGRAPHY
(2022)
Article
Fisheries
Shijie Zhou, Roy A. Deng, Matthew R. Dunn, Simon D. Hoyle, Yeming Lei, Ashley J. Williams
Summary: Sharks typically have long lifespans, slow growth rates, and low fecundity, making them vulnerable to fishing. Developing management reference points for elasmobranchs based on their life-history information is more feasible than traditional stock assessments. Evaluating natural mortality rate estimators is crucial for developing reference points, with different methods producing varying results for estimating fishing mortality reference points.
FISH AND FISHERIES
(2022)
Article
Fisheries
Shijie Zhou, Trevor Hutton, Yeming Lei, Margaret Miller, Tonya van der Velde, Roy Aijun Deng
Summary: Using length frequency distribution data (LFD) is a cost-effective way to estimate somatic growth in fish or invertebrates. This study compares the ELEFAN approach with a Bayesian approach in analyzing LFD and finds that the Bayesian method can accurately estimate L-inf and K, but estimating t(0) is more challenging.
ICES JOURNAL OF MARINE SCIENCE
(2022)
Review
Fisheries
Daniel R. Goethel, Kristen L. Omori, Andre E. Punt, Patrick D. Lynch, Aaron M. Berger, Carryn L. de Moor, Eva E. Plaganyi, Jason M. Cope, Natalie A. Dowling, Richard McGarvey, Ann L. Preece, James T. Thorson, Milani Chaloupka, Sarah Gaichas, Eric Gilman, Sybrand A. Hesp, Catherine Longo, Nan Yao, Richard D. Methot
Summary: Marine population modeling is an important research field that supports fisheries interventions. It has made recent advancements to address challenges like climate change and enduring issues such as data limitations. The review highlights the integration of various dimensions in fisheries models, facilitated by interdisciplinary research teams and improved data collection protocols. However, the implementation of model-based advice and sharing of confidential data remain challenges. The authors recommend participatory co-management approaches, wider inclusion of local knowledge and stakeholder input, and improved communication and engagement in fisheries management to make better informed decisions.
REVIEWS IN FISH BIOLOGY AND FISHERIES
(2023)
Article
Fisheries
Sean Pascoe, Andre E. Punt, Trevor Hutton, Paul Burch, Pia Bessell-Browne, L. Richard Little
Summary: Consideration of economic outcomes is common in fisheries management globally, but few jurisdictions prioritize economic objectives. Australia's federally managed fisheries have adopted maximum economic yield (MEY) as their primary objective, with biomass-based target reference points used in harvest control rules. In the absence of explicit estimates for biomass-based MEY (BMEY), proxy estimates based on maximum sustainable yield (BMSY) are used. However, estimating BMEY in multi-species fisheries is challenging due to assessments conducted at the individual species level, while economic activity spans across species. This complexity is further compounded in fisheries with multiple fishing gears and targeting practices. Using an age-structured bioeconomic model, this study estimates BMEY for key species in a multi-species, multi-metier fishery, revealing higher optimal biomass levels compared to the current proxy-based system, with economic targets sensitive to changing prices and fishing costs.
CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES
(2023)
Article
Fisheries
Eva E. Plaganyi, Laura K. Blamey, Roy Aijun Deng, Margaret Miller
Summary: Formal harvest strategies are important for decision-making processes in fisheries. This study focuses on the revision of the harvest strategy for Australia's redleg banana prawn fishery to address the challenges posed by short-lived highly-variable stocks. The study discusses the implementation of a seasonal closure, modification of the stock assessment model, and selection of a data-sufficient threshold to determine the need for a stock assessment in a particular year. The revised harvest strategy successfully balances the value of the fishery with the costs of data collection and analysis, while also considering the risks to the fish stock.
FISHERIES RESEARCH
(2023)
Article
Fisheries
Cody S. Szuwalski, Anne B. Hollowed, Kirstin K. Holsman, James N. Ianelli, Christopher M. Legault, Michael C. Melnychuk, Dan Ovando, Andre E. Punt
Summary: Climate change can impact global fisheries productivity. Maintaining current management targets is more beneficial for biodiversity protection than increasing catch through climate adaptation in maximum sustainable yield (MSY) based management. The conservation gain of maintaining management targets increases as the harmful impacts of climate change on productivity worsen. New management tools are needed to balance conservation and food production in ecosystems with non-stationary productivity.
FISH AND FISHERIES
(2023)
Article
Biodiversity Conservation
A. J. Warlick, G. K. Himes Boor, T. L. McGuire, K. E. W. Shelden, E. K. Jacobson, C. Boyd, P. R. Wade, A. E. Punt, S. J. Converse
Summary: Knowledge about demographic and environmental factors is crucial for designing effective conservation measures. This study used an integrated population model to analyze the endangered Cook Inlet population of beluga whales. The research revealed possible depression in survival and fecundity, and predicted a continued decline with a 17-32% probability of extinction in 150 years. The study highlights the usefulness of integrated population modeling in understanding population dynamics and identifying factors contributing to the failure of protected populations to recover.
ANIMAL CONSERVATION
(2023)
Article
Green & Sustainable Science & Technology
Eva Plaganyi, Rob Kenyon, Laura Blamey, Julie Robins, Michele Burford, Richard Pillans, Trevor Hutton, Justin Hughes, Shaun Kim, Roy Aijun Deng, Toni Cannard, Annie Jarrett, Adrianne Laird, Emma Lawrence, Margaret Miller, Chris Moeseneder
Summary: Global demands for freshwater are increasing, leading to substantial downstream impacts on fisheries and ecosystems due to water resource development. This study evaluated the trade-offs between different dam and water extraction options and the functioning of downstream ecosystems. The findings showed that the impacts of water resource development varied depending on species, scenarios, and cross-catchment synergies. The study highlighted the need to consider marine ecosystems and fisheries in the sustainable management of remaining free-flowing rivers globally.
NATURE SUSTAINABILITY
(2023)
Article
Fisheries
Miguel Petrere Jr, Davi Butturi-Gomes
Summary: This short communication aims to raise awareness about the misuse of confidence intervals in Ecology and Fisheries statistical models that ignore the lack of independence.
FISHERIES RESEARCH
(2024)
Article
Fisheries
Peter-John F. Hulson, Benjamin C. Williams
Summary: This study evaluates the impact of considering ageing error and growth variability on the determination of input sample size (ISS) in statistical catch-at-age assessment models. The results show that including these sources of uncertainty decreases the ISS determined through bootstrap methods. This indicates that there is more variability in age composition and conditional age-at-length data than previously accounted for. Including these sources of uncertainty improves the estimation of ISS and subsequently improves the quality of stock assessment models.
FISHERIES RESEARCH
(2024)
Article
Fisheries
Jason M. Cope
Summary: Fishery resource assessment is a complex and challenging task, but with the use of different analysis methods and tools, effective management guidance can be provided even with limited data and resources.
FISHERIES RESEARCH
(2024)
Article
Fisheries
Regina L. Cunha, Joana I. Robalo, Sara M. Francisco, Ines Farias, Rita Castilho, Ivone Figueiredo
Summary: Recent advances in genomics have greatly contributed to the assessment of fish stocks by providing precise identification of genetic boundaries. This study used a genotyping-by-sequencing approach to reveal the existence of an additional genetic cluster of blackspot seabream in the northeast Atlantic, which was not previously identified. Factors such as ocean circulation patterns and local upwelling may play a role in the genetic differentiation observed in this study.
FISHERIES RESEARCH
(2024)
Article
Fisheries
Huihua Lee, Mark N. Maunder, Kevin R. Piner
Summary: Estimating growth is important for fish population assessment. Integrated assessment models and the influence of misfitting size composition data have renewed interest in how growth is modeled. The available data types control how the length-at-age relationship is estimated. Estimating length-at-age is complex due to multiple sources of biological variability and difficulties in obtaining representative samples.
FISHERIES RESEARCH
(2024)
Article
Fisheries
A. Ladino, I. Perez-Arjona, V. Espinosa, M. Chillaron, V. Vidal, L. M. Godinho, G. Moreno, G. Boyra
Summary: This study examines the acoustic properties of skipjack tuna and Atlantic mackerel, both bladderless pelagic fish species, and explains the significant differences observed. The research shows that the differences in material properties of their tissues predict a more than 10 dB greater reduced target strength in skipjack compared to mackerel at certain frequencies.
FISHERIES RESEARCH
(2024)
Article
Fisheries
Nelly Pena-Cutimbo, Cristel Cordero-Maldonado, Clara Ortiz-Alvarez, Joanna Alfaro-Shigueto, Jeffrey C. Mangel
Summary: Bycatch is a global problem for marine megafauna. This study assessed the bycatch interactions of the Peruvian artisanal purse-seine fishery in 2019 and found that all taxa groups were affected by bycatch. Dusky dolphins, guanay cormorants, and eagle rays were the most frequently reported bycatch species.
FISHERIES RESEARCH
(2024)
Article
Fisheries
Jen-Ming Liu, Po-Yuk So
Summary: The set-net fishery is an environmentally friendly fishery posing little risk to the marine ecosystem. This study identified ocean temperature, sea surface factors, and climatic factors as the main factors affecting the installation of set-nets.
FISHERIES RESEARCH
(2024)
Article
Fisheries
Josie L. Palmer, Carina Armstrong, Hasan D. Akbora, Damla Beton, Cigdem Caglar, Brendan J. Godley, Kristian Metcalfe, Meryem Ozkan, Robin T. E. Snape, Annette C. Broderick
Summary: Small-scale fisheries are vital for global food security and cultural heritage, but the lack of information hampers effective management and mitigation of ecological impacts. This study provides the first comprehensive overview of the small-scale fishery fleet in Northern Cyprus. The fleet operates mainly over the continental shelf, using static and demersal gear types, and catches a diverse range of species, some of which are threatened. The findings can be used to improve fisheries management and conservation measures.
FISHERIES RESEARCH
(2024)
