Research and Application of SWAT Model in Basin Without Reservoir Outflow Data by LIANG Guixing, CUI Yali, HUANG Qibo, WANG Yaru, ZHOU Yan, ZHANG Yin

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Mapping the current knowledge in syndemic research applied to men who have sex with men: a scoping review protocol by Beatrice Scholtes, Maxence Ouafik, Laetitia Buret, Jean-Luc Belche

“…Data collating, summarising and reporting will be performed using R and RStudio. …”
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The EU legal framework for using artificial intelligence and imaging databases and imaging biobanks for research purposes: applying the notion of Fairness by Valentina Colcelli

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Research on the Impact of Regional Economy on Industrial Development from the Perspective of Big Data by Lu Zhang, Dong Zhao, Siheng Li, Han Xiao, Jianjun Bu, Marvin White

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Providing a Model for Developing the Entrepreneurial Capacity of the Young Generation of the Country in the Context of Curriculum Planning of the University by Somayeh Gharagozloo, Faezeh Nateghi, Mahnaz Jalalvandi

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Towards global spaceborne lidar biomass: Developing and applying boreal forest biomass models for ICESat-2 laser altimetry data by A. Neuenschwander, L. Duncanson, P. Montesano, D. Minor, E. Guenther, S. Hancock, M.A. Wulder, J.C. White, M. Purslow, N. Thomas, A. Mandel, T. Feng, J. Armston, J.R. Kellner, H.E. Andersen, L. Boschetti, P. Fekety, A. Hudak, J. Pisek, N. Sánchez-López, K. Stereńczak

“…The objective of this research was to create ICESat-2 aboveground biomass density (AGBD) models for the global entirety of boreal forests at a 30 m spatial resolution and apply those models to ICESat-2 data from the 2019–2021 period. …”
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Deep learning applied to the segmentation of rodent brain MRI data outperforms noisy ground truth on full-fledged brain atlases by Jonas Kohler, Thomas Bielser, Stanislaw Adaszewski, Basil Künnecke, Andreas Bruns

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Predicting hospital admissions from individual patient data (IPD): an applied example to explore key elements driving external validity by Rafael Perera, Marjan Van Den Akker, Kym I E Snell, Joerg J Meerpohl, Ferdinand M Gerlach, Daniela Küllenberg de Gaudry, Ana Isabel González-González, Jeanet Blom, Christiane Muth, Walter Emil Haefeli, Karin M A Swart, Petra Elders, Henrik Rudolf, Ulrich Thiem, Andreas Daniel Meid, Truc Sophia Dinh, Donna Bosch-Lenders, Hans J Trampisch, Benno Flaig, Ghainsom Kom

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Quantifying changes in global health inequality: the Gini and Slope Inequality Indices applied to the Global Burden of Disease data, 1990–2017 by Jan M Stratil, Peter von Philipsborn, Fridolin Steinbeis, Dzintars Gotham

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The Record Linking Glass Ceiling. Applying Automated Methods to the Census and Women’s Marriage Records, 1881–1911 by Emma Diduch

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De‐Mystifying the Clone‐Censor‐Weight Method for Causal Research Using Observational Data: A Primer for Cancer Researchers by Charles E. Gaber, Armen A. Ghazarian, Paula D. Strassle, Tatiane B. Ribeiro, Maribel Salas, Camille Maringe, Xabier Garcia‐Albeniz, Richard Wyss, Wei Du, Jennifer L. Lund

“…ABSTRACT Background Regulators and oncology healthcare providers are increasingly interested in using observational studies of real‐world data (RWD) to complement clinical evidence from randomized controlled trials for informed decision‐making. …”
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Novel application of deep learning to evaluate conversations from a mental health text support service by Daniel Cahn, Sarah Yeoh, Lakshya Soni, Ariele Noble, Mark A. Ungless, Emma Lawrance, Ovidiu Şerban

“…As one of the first research projects on the Shout dataset and one of the first significant attempts to apply advanced deep learning to a text messaging service, this project is a proof-of-concept demonstrating the potential of using deep learning to text messages. …”
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Study and Application of Mathematical Analysis Model for Pollution Diffusion in Plain Rivers by SUN Rufei, YAO Cheng, HU Kehong, YU Chao

“…These solutions realize the simulation calculation and characteristic distribution statistics of river pollutant diffusion, providing reasonable and effective data support for river water pollution emergencies. …”
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Study and Application of Mathematical Analysis Model for Pollution Diffusion in Plain Rivers by SUN Rufei, YAO Cheng, HU Kehong, YU Chao

“…These solutions realize the simulation calculation and characteristic distribution statistics of river pollutant diffusion, providing reasonable and effective data support for river water pollution emergencies. …”
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Transfer learning for non-image data in clinical research: A scoping review. by Andreas Ebbehoj, Mette Østergaard Thunbo, Ole Emil Andersen, Michala Vilstrup Glindtvad, Adam Hulman

“…Transfer learning was most often applied to time series data (61%), followed by tabular data (18%), audio (12%) and text (8%). …”
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Travel behavior before and after COVID-19. A hybrid choice model applied to a panel dataset by Eleonora Sottile, Giovanni Tuveri, Francesco Piras, Italo Meloni

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Applied research note: comparison of the locomotor activity and circadian rhythm in 3 strains of laying hens as measured by tri-axial accelerometers by J.A. Abecia, C. Palacios, J. Plaza, J. Nieto, F. Canto

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Research on data-driven modeling for photovoltaic characteristics based on hybrid neural network by Guobin ZHANG, Xinying WANG

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Unleashing the power of remote sensing data in aquatic research: Guidelines for optimal utilization by Igor Ogashawara, Sabine Wollrab, Stella A. Berger, Christine Kiel, Andreas Jechow, Alexis L. N. Guislain, Peter Gege, Thomas Ruhtz, Martin Hieronymi, Thomas Schneider, Gunnar Lischeid, Gabriel A. Singer, Franz Hölker, Hans‐Peter Grossart, Jens C. Nejstgaard

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Research on medical small sample data classification based on SMOTE and gcForest by Wenchang LIU, Yun WEI, Haoxuan YUAN, Yue GAO

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