Wind and Trees: Lessons Learned from Hurricanes by Mary L. Duryea, Eliana Kampf

“…Published by the UF School of Forest Resources and Conservation, September 2007. FOR118/FR173: Wind and Trees: Lessons Learned from Hurricanes (ufl.edu) …”
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On learning higher-order cumulants in diffusion models by Gert Aarts, Diaa E Habibi, Lingxiao Wang, Kai Zhou

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A Framework for Doing Things in a Good Way: Insights on Mshiikenh (Freshwater Turtle) Conservation Through Weaving Western Science and Indigenous Knowledge in Whitefish River First... by Reta Lingrui Meng, Alexis McGregor, Deborah McGregor, Lorrilee McGregor, Keith Nahwegahbow, Patricia Chow‐Fraser

“…ABSTRACT Co‐developed conservation programs for Species At‐Risk, created in partnership between Indigenous Nations and non‐Indigenous researchers, represent a vital shift toward effective species recovery strategies that are culturally respectful and contribute to reconciliation within the natural sciences. …”
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Innovation in the blue economy and environmental sustainability in marine and fisheries strategy by S.W. Trenggono, I. Meilano, H. Latief, S.D. Diantara, W. Sakti, D.G.K. Ketaren, I.N.P. Winata, T. Yuwono, Syamdidi , F.Y. Arthatiani, K. Kasim, I.N. Radiarta

“…This study examines the implementation of the Ministry's fisheries blue economy initiatives, aiming to formulate future strategies based on lessons learned from two years of execution.METHODS: To assess the implementation of these key initiatives, participatory approaches, including focus group discussions, semi-structured interviews, and key informant interviews, were utilized to gather insights into program implementation experiences and lessons learned. …”
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Hybrid machine learning algorithms accurately predict marine ecological communities by Luciana Erika Yaginuma, Luciana Erika Yaginuma, Fabiane Gallucci, Danilo Cândido Vieira, Paula Foltran Gheller, Simone Brito de Jesus, Thais Navajas Corbisier, Gustavo Fonseca

“…Implementing ML approaches in monitoring programs of benthic systems will increase our prediction capacity, reduce monitoring costs, and, ultimately, support the conservation of marine systems.…”
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A Data Storage, Analysis, and Project Administration Engine (TMFdw) for Small- to Medium-Size Interdisciplinary Ecological Research Programs with Full Raster Data Capabilities by Paulina Grigusova, Christian Beilschmidt, Maik Dobbermann, Johannes Drönner, Michael Mattig, Pablo Sanchez, Nina Farwig, Jörg Bendix

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Learning a prior on regulatory potential from eQTL data. by Su-In Lee, Aimée M Dudley, David Drubin, Pamela A Silver, Nevan J Krogan, Dana Pe'er, Daphne Koller

“…Here, we present a novel method, Lirnet, that automatically learns a regulatory potential for each sequence polymorphism, estimating how likely it is to have a significant effect on gene expression. …”
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SeagrassFinder: Deep learning for eelgrass detection and coverage estimation in the wild by Jannik Elsäßer, Laura Weihl, Veronika Cheplygina, Lisbeth Tangaa Nielsen

“…We create a new dataset of over 8,300 annotated underwater images, and subsequently evaluate several deep learning architectures, including ResNet, InceptionNetV3, DenseNet, and Vision Transformer for the task of binary classification on the presence and absence of seagrass by transfer learning. …”
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Domestic cat management in the UK: learnings from a global perspective by Jenni L. McDonald, Dave J. Hodgson, Claire Roberts, Lauren Finka, Vicky Halls, Rae Foreman-Worsley

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The Influence of Learning Motivation on Students' Eco-Literacy of Environmental Pollution Material by Ihsaniatun Nur Alifah, Rif'ati Dina Handayani, Sudarti Sudarti

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Sex identification in rainbow trout using genomic information and machine learning by Andrei A. Kudinov, Antti Kause

“…Abstract Sex identification in farmed fish is important for the management of fish stocks and breeding programs, but identification based on visual characteristics is typically difficult or impossible in juvenile or premature fish. …”
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Sufficiency-driven business models for rare earth recycling: integrating stakeholder collaboration and customer discovery for sustainable innovation by Chinenye Chinwego, Rosanna Garcia, Daniel McArthur Sehar, Evan MacGregor, Steven Tate, Kenneth Savage, Thaddaeus Zuber, Benjamin Sseruwagi, Daniel Dietrich, Emmanuel Opoku, David Smith, Adam Powell, Brajendra Mishra

“…These case studies highlight best practices, challenges, and lessons learned, providing a comprehensive blueprint for other businesses to follow. …”
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Probing the impact of the COVID-19 pandemic on government high school students, Nellore, India by Rajalakshmi Sulur Anbalagan, Sreshta Gudugunta Lakshmi, Chudalai Sankali Sowndaram, Balasubramanian Arumugam

“…Through this study, we intended to comprehend and explore the academic crisis of high school students and teachers during the pandemic and examine the learning loss after the reopening of schools.MethodsThis research utilized the conservation of resources theory (CoR) as the conceptual framework to explore the internal and external resources involved in the school sector during the COVID-19 outbreak. …”
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Mapping the tidal marshes of coastal Virginia: a hierarchical transfer learning approach by Zhonghui Lv, Karinna Nunez, Ethan Brewer, Dan Runfola

“…This study leverages the combined capabilities of Sentinel-2 and National Agriculture Imagery Program (NAIP) imagery and a UNet architecture to accurately classify tidal marsh communities. …”
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Recognition of prokaryotic and eukaryotic promoters using convolutional deep learning neural networks. by Ramzan Kh Umarov, Victor V Solovyev

“…Thus, the developed CNN models, implemented in CNNProm program, demonstrated the ability of deep learning approach to grasp complex promoter sequence characteristics and achieve significantly higher accuracy compared to the previously developed promoter prediction programs. …”
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The use of machine learning methods in the development of nasal dosage forms with cerebroprotective action by B. S. Burlaka, I. F. Bielenichev

“…The methods employed were a set of methods for binary classification of machine learning (pycaret.org) using the programming language Python 3.8 (python.org) in the package management environment Miniconda (conda.io). …”
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Leveraging historical datasets to quantify the recovery of an impaired stream entering Yellowstone National Park by Andrew M. Ray, Alysa M. Yoder, Brian D. Ertel, Tom H. Henderson, Christopher A. Mebane

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Deep learning-based detection of indicator species for monitoring biodiversity in semi-natural grasslands by Deepak H. Basavegowda, Inga Schleip, Paul Mosebach, Cornelia Weltzien

“…Deep learning (DL) has huge potential to provide valuable insights into biodiversity changes in species-rich agricultural ecosystems such as semi-natural grasslands, helping to prioritize and plan conservation efforts. …”
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Understanding Primary School Students’ Knowledge and Attitudes Towards Water Management: Insights from Environmental Education by Oana Irimia, Claudia Tomozei, Mirela Panainte-Lehadus, Dana Chitimus, Florin Nedeff, Narcis Barsan, Emilian Mosnegutu, Diana Mirila

“…Interactive and practical educational programs, along with the involvement of parents and the community, enhance learning and create connections between school and daily life. …”
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Assessing the UNESCO community capacity building initiative: a case study from the historic city of Vigan, Philippines by Wanling Jian

“…The findings and lessons learned provide guidelines for future capacity-building program designs targeting local communities at both World Heritage sites and places of cultural significance.…”
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