Cultivating Slow Curating in Times of Acceleration by Alice Semedo, Fabiana Dicuonzo

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Mapping the Global Research Landscape on the Nurse Resilience Management: A Bibliometric Analysis by Us Yana, Gerulaitienė Neringa

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Understanding Health Literacy Among Migrants in Portugal: The Impact of Environmental Issues by Rosa Machado, Madalena Garcia, Isaura Serra, Ana Lúcia João

“…This study was conducted with ethical approval including a sample of 101 participants. We performed descriptive and inferential statistical analyses using the Statistical Package for the Social Sciences (SPSS) version 29. …”
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Damage Detection and Identification on Elevator Systems Using Deep Learning Algorithms and Multibody Dynamics Models by Josef Koutsoupakis, Dimitrios Giagopoulos, Panagiotis Seventekidis, Georgios Karyofyllas, Amalia Giannakoula

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A New Look at Radio and Television Teasers Using Conceptual Blending Theory by Hossein Razavian, Zahra Zare, Sahar Bahrami-Khorshid

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Class Activation Map Guided Backpropagation for Discriminative Explanations by Yongjie Liu, Wei Guo, Xudong Lu, Lanju Kong, Zhongmin Yan

“…The interpretability of neural networks has garnered significant attention. In the domain of computer vision, gradient-based feature attribution techniques like RectGrad have been proposed to utilize saliency maps to demonstrate feature contributions to predictions. …”
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Diagnostic pathways for breast cancer in 10 International Cancer Benchmarking Partnership (ICBP) jurisdictions: an international comparative cohort study based on questionnaire and... by David Weller, Usha Menon, Alina Zalounina Falborg, Henry Jensen, Andriana Barisic, Anne Kari Knudsen, David H Brewster, Victoria Cairnduff, Eva Grunfeld, Elizabeth Harland, Mats Lambe, Rebecca-Jane Law, Yulan Lin, Martin Malmberg, Donna Turner, Richard D Neal, Victoria White, Samantha Harrison, Peter Vedsted, Una MacLeod, Conan Donnelly, Anna Gavin, Jon Emery, Oliver Bucher, Jatinderpal Kalsi, Chantelle Anandan, Evangelia Ourania Fourkala, Therese Kearney, Marie-Louise Essink-Bot, Sigrun Saur Almberg, Breann Hawryluk, Jacqueline Kelly, Jackie Boylan, Jan Willem Coebergh, David Brewster, Stefan Bergström, Victoria Hammersley, Rebecca Bergin, Alina Zalounina Falborg, Andriana Barisi, Kerry Moore, Maria Rejmyr Davis

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Dynamics of HDL-Cholesterol Following a Post-Myocardial Infarction Cardiac Rehabilitation Program by Carlos Bertolín-Boronat, Héctor Merenciano-González, Víctor Marcos-Garcés, María Luz Martínez-Mas, Josefa Inés Climent Alberola, Nerea Pérez, Laura López-Bueno, María Concepción Esteban-Argente, María Valls Reig, Ana Arizón Benito, Alfonso Payá Rubio, César Ríos-Navarro, Elena de Dios, Jose Gavara, Juan Sanchis, Vicente Bodi

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A Review of the Effects of Climate Change on Water Resources in Sub-Saharan Africa by Turyasingura ,Benson

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Observing glacier dynamics with low-cost, multi-GNSS positioning in Victoria Land, Antarctica by Holly Still, Robert Odolinski, M. Hamish Bowman, Christina Hulbe, David J. Prior

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E-Commerce Fraud Detection Based on Machine Learning Techniques: Systematic Literature Review by Abed Mutemi, Fernando Bacao

“…Employing the PRISMA approach, we conducted a content analysis of 101 publications, identifying research gaps, recent techniques, and highlighting the increasing utilization of artificial neural networks in fraud detection within the industry.…”
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Social Media Utilization of Public Benefit Organizations During the COVID-19 Pandemic by Piotr Szamrowski, Marian Oliński

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Spatial transcriptome reveals histology-correlated immune signature learnt by deep learning attention mechanism on H&E-stained images for ovarian cancer prognosis by Chun Wai Ng, Kwong-Kwok Wong, Barrett C. Lawson, Sammy Ferri-Borgogno, Samuel C. Mok

“…We sought to deconvolute the attention feature learnt by a deep learning convolutional neural networks trained with whole-slide images (WSIs) of hematoxylin-and-eosin (H&E)–stained tumor samples using spatial transcriptomic data. …”
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Magnetotelluric Sampling and Geoelectric Hazard Estimation: Are National‐Scale Surveys Sufficient? by Benjamin S. Murphy, Greg M. Lucas, Jeffrey J. Love, Anna Kelbert, Paul A. Bedrosian, E. Joshua Rigler

“…For electrical transmission networks in each of four focus regions across the contiguous United States, we perform two parallel band‐limited (101–103 s) hazard analyses: one using only USArray‐style (∼70‐km station spacing) MT data, and one incorporating denser (≪70‐km station spacing) MT data. …”
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Towards consensus: defining and supporting a professional role for pharmacists associated with traditional and complementary medicines – a protocol of implementing an international... by Joanna E Harnett, Carolina Oi Lam Ung, Shane Desselle

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Engagement in HIV Medical Care and Technology Use among Stimulant-Using and Nonstimulant-Using Men who have Sex with Men by Keith J. Horvath, Adam W. Carrico, Jane Simoni, Edward W. Boyer, K. Rivet Amico, Andy E. Petroll

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A closer look: factors impacting HIV durable viral suppression among a cohort of clinic attendees in Trinidad & Tobago by Elena Cyrus, Deidre A. Okeke, Omari Lavia, Mary Jo Trepka, Allysha Maragh-Bass, Lunthita Duthely, Michael Sciauodone, Jeffrey Edwards

“…Background In Trinidad and Tobago, high HIV prevalence among key populations necessitates studying factors that impact durable viral suppression (DVS), crucial for effective HIV management and reducing transmission among at-risk networks. This study investigates these factors using clinical data from a major HIV care clinic in the Caribbean. …”
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Multiclass Supervised Learning Approach for SAR-COV2 Severity and Scope Prediction: SC2SSP Framework by Shaik Khasim Saheb, B. Narayanan, T.V. Narayana Rao

“…The proposed SC2SSP approach attains 3.101% and 7.12% higher accuracy; 24.13% and 13.04% higher precision compared with existing methods, like the Detection of COVID-19 from Chest X-ray Images Using Convolutional Neural Networks (Resnet50), Deep learning for automated recognition of covid-19 from chest X-ray images (VGGNet), respectively. …”
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Credit Risk Modeling Using Interpreted XGBoost by Marcin Hernes, Jędrzej Adaszyński, Piotr Tutak

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Knowledge about COVID-19, coping and resilience in Mexican women: comparison by stress levels by Ana Leticia Becerra Gálvez, Alejandro Pérez-Ortiz, Yuma Yoaly Pérez-Bautista, Isaías Vicente Lugo-González, América Genevra Franco-Moreno, Erick Alberto Medina-Jiménez

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