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I have a folder or articles in my EBSCOhost account. On the left of each article, there are words like "export", "cite", and "notes". What do they do?
Please see the answers to your questions below about features in EBSCO's MyEBSCO folder. On the left of each article, there are words like "export", "cite", and "notes".
- These features allow you to manage the contents of the folder. For example, if you want to export the citation to a citation management (https://guides.lib.lsu.edu/c.php?g=279388&p=1862193) tool like Endnote or Zotero, you can do that. Or if you want to make notes about the citation and come back to them at a later date, the note for that citation will still be there. If you are interested in learning more about citation management and how it can help you organize your research, refer to our Citation LibGuide (https://guides.lib.lsu.edu/citation) as well as our workshop (https://www.youtube.com/watch?v=wRcFIlrWpDg&list=PL5ZtZe36ynPlutYgX4_x0…) about Zotero where you will learn how to set up Zotero to save and store sources and generate citations. To view upcoming workshops, please use our events calendar (https://lsu.libcal.com/calendar/eventsandprogramming) . What do these features actually do? How long does content remain in my folder?
- As long as you are logged into the MyEBSCOhost platform, the citations will stay there until you remove them. Here are some FAQs (https://connect.ebsco.com/s/article/EBSCOhost-Folder-Frequently-Asked-Q….) regarding how long content is kept in the folder. How do I delete an article from my folder if it is not relevant?
- To remove result(s) from your personalized folder, select the result by clicking on the appropriate check box, then click the Delete Items link. You may find this page (https://connect.ebsco.com/s/article/How-to-Use-the-My-EBSCOhost-Folder?…) useful in learning how to use the folder as well. Feel free to reach out to your subject librarian (https://www.lib.lsu.edu/staff?field_staff_type=2&search_api_staff=&fiel…) for more assistance. eResources Staff Answered by: Electronic Resources

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When does spillover from marine protected areas indicate benefits to fish abundance and catch?
Spillover is a term commonly applied to the dispersal of fish and/or larvae from inside a closed area to areas open to fishing. The presence of spillover is often quantified by measuring gradients in attributes such as abundance or catch rates near the boundaries of closed areas or by measuring higher abundance inside closed areas compared to outside. It is commonly assumed that such gradients or ratios indicate that the closed area has benefitted the fishery and the total abundance of fish. We explore this assumption using a spatially explicit model of closed areas with different intensities of fishing and fish movement, and we find that such gradients will be expected any time there is higher abundance inside the closed area. However, such gradients do not necessarily indicate a benefit to the fishery either in terms of total catch or catch rate, and unless pre-closure fishing was intense, total abundance is not expected to rise significantly. We examine case studies that argue that spillover exists and leads to fishery benefits. We then evaluate the evidence for net benefits in these case studies and find those with evidence of net benefits all come from places where fishing pressure was intense. While most analysis come from quite small coastal closed areas, two studies of very large open-ocean closed areas are discussed, and we find that both suggest little overall impact on the tuna populations that support the main commercial fisheries affected by the closures in question.
fair-fish database|catch: A platform for global assessment of welfare hazards affecting aquatic animals in fisheries
Fish welfare is a crucial issue that needs to be addressed in fisheries. Thus, the scope of the fair-fish database - an online open-access platform - was expanded from aquaculture (farm branch) to fisheries (catch branch). It provides farm and catch welfare profiles (WelfareChecks) of aquatic species based on literature reviews. In the catch branch, each WelfareCheck encompasses a species in relation to a specific fishing method used to catch it, assessing 10 criteria covering welfare hazards throughout the steps of the catching process: prospection, setting, catching, emersion, release from gear, bycatch avoidance, sorting, discarding, storing, and stunning/slaughter. In each criterion, we assess the likelihood and potential of experiencing good welfare under minimal and high-standard fisheries conditions, respectively, besides the certainty level about these. A final WelfareScore is provided for each profile, which serves as a benchmark for assessing and improving fish welfare. Since its publication in 2023, we have published five WelfareChecks. The goal is to increase the number of profiles for several fished species and catching methods over time. In conclusion, the catch branch of the fair-fish database serves as an open-access source providing an overview of the welfare of a fished species given a certain catching method. It is a reliable tool that raises public awareness of fish welfare, provides scientists with insight into knowledge gaps, and offers practitioners with suggestions about how to avoid welfare risks.
Drivers of elasmobranch catch are site and fishery specific: Insights from a comparative assessment of fisheries across the east and west coasts of India
Capture in nearshore fisheries is the leading threat to coastal elasmobranchs, of which more than 75 % are threatened with extinction globally. Limited knowledge of these highly dynamic fisheries impedes the design and implementation of stakeholder-inclusive policies for conservation. To address this, we developed an interdisciplinary approach, combining landing data with fishing geo-locations, Very High resolution (VHR) satellite imagery and fisher interviews to model elasmobranch catch dynamics and map areas of high catch potential. We compared how elasmobranch catch rates varied by species ecology, habitat, and fisheries characteristics in Visakhapatnam and Malvan, two regions on the east and west coasts of India, respectively. We sampled 2209 fishing trips across three oceanographic seasons from landing sites at both locations in 2022-23. We recorded 5578 elasmobranchs from >20 species of which at least 13 were categorised as ‘Threatened’. Gillnets, hook and line and trawl nets were the most common gears, but their use and catch rates varied considerably. Elasmobranchs had a higher catch risk on the eastern site (where they may be specifically targeted) and were generally larger. Catch rates were higher in shallow regions on the west coast and in the summer at both sites. Importantly, we demonstrate that drivers of elasmobranch catch were site and fishery specific, underscoring the need for more local-scale research for planning conservation actions. Our framework provides a robust method to study the highly dynamic and diverse nature of nearshore fisheries, which can inform conservation actions and, at the same, time, enable a bottom-up approach to conserving elasmobranchs.
Multi-fruit leaf disease detection and severity assessment using catch fish optimized deep learning model
Accurate disease detection in fruit leaves is crucial for preserving crop health and enhancing agricultural productivity. Fruits hold significant economic value and nutritional importance, but their vulnerability to diseases severely impacts both yield and quality. This research proposes a novel Multi-level Attention DenseNet-based Deep Convolutional Neural Network (MADDCNN) model to improve fruit disease detection. The model addresses challenges such as varying lighting conditions, complex backgrounds, and overlapping symptoms, which hinder detection accuracy in existing systems. By incorporating the Catch Fish Optimization (CFO) technique, MADDCNN enhances multi-fruit classification accuracy and optimizes parameter tuning for better performance. To further enhance the detection process, the model employs the Hybrid Runge Kutta DeepLabV3+ (HRKD) method for segmenting disease-affected areas, enabling more precise identification and isolation of infected regions. This segmentation step significantly boosts classification accuracy and reliability in agricultural environments. The novelty of this research lies in the integration of MADDCNN with CFO and HRKD, enabling severity classification, adaptive optimization, and precise segmentation under varying agricultural conditions. The MADDCNN model outperforms other methods in key metrics, achieving 98.34% accuracy, 97.85% precision, 97.91% recall, and 98.12% F1 score. Furthermore, it demonstrates computational efficiency, processing each image in just 1.5 s. Overall, the MADDCNN approach offers a sustainable, efficient solution for detecting fruit diseases, addressing the challenges of varying conditions and complex symptoms, and contributing to enhanced agricultural practices.
Catch and Release : An Oregon Life in Politics
In 1974, at the age of thirty-two, Les AuCoin became the first Democrat to win a US House seat in Oregon's First District. He was one of the post-Watergate reformers who shook up an insular, autocratic Congress and led fights for affordable housing, “trickle-up” economics, wilderness protection, abortion rights, and nuclear arms control. In the 1980s, the Oregonian called him “the most powerful congressman in Oregon.” In this compelling collection of life stories, AuCoin traces his unlikely rise from a fatherless childhood in Central Oregon to the top ranks of national power. Then came a painful defeat in one of the most controversial races in US Senate history, against incumbent Bob Packwood. A fly fisher, AuCoin uses “catch and release” as a metaphor for succeeding and letting go of loss with dignity and equanimity. His memories are in turn funny, suspenseful, and revealing. AuCoin takes us to the Kremlin, pre-industrial China, the Arctic National Wildlife Refuge, and into the tortuous politics of the Northwest spotted owl crisis. He interacted with world figures like Mikhail Gorbachev, Ronald Reagan, House Speakers Tip O'Neill and Jim Wright, and Oregon legends Tom McCall and Mark Hatfield. Closer to home, AuCoin allied himself with activists like Sidney Lasseigne of the Newport Fishermen's Wives. Catch and Release offers readers a revealing glimpse behind the scenes of congressional life, as lived by the 535 souls who inhabit the US House and Senate—including the author, who assesses his own strengths and foibles with humility and candor.