Long‐term trends in weather severity indices for dabbling ducks in eastern North America by Michael L. Schummer, John M. Coluccy, Michael Mitchell, Lena Van Den Elsen

“…We encourage those with corresponding data on participation and satisfaction by waterfowl enthusiasts (i.e., birders and hunters) to test for relationships with the WSI because of the implications for conservation funding, especially if autumn and winter weather severity continues to become increasingly mild as predicted. © 2017 The Wildlife Society.…”
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Navigating the Digital Twin Network landscape: A survey on architecture, applications, privacy and security by Akshita Maradapu Vera Venkata Sai, Chenyu Wang, Zhipeng Cai, Yingshu Li

“…The most serious issue here is with respect to user data privacy and security because users of most applications are unaware of the data that they are sharing with these platforms and are naive in understanding the implications of the data breaches. …”
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Tracking climate adaptation in hospitals: An inventory of structural measures by Louise Elstow, Felipe Rojas Parra, Kristen MacAskill

“…Second, identifying the challenges involved in gathering and compiling adaptation data has implications for the field of climate adaptation itself, and the data needed to drive decision making and better understanding of what is happening. …”
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Uncovering temperature sensitivity of West Nile virus transmission: Novel computational approaches to mosquito-pathogen trait responses. by Julian Heidecke, Jonas Wallin, Peter Fransson, Pratik Singh, Henrik Sjödin, Pascale Claire Stiles, Marina Treskova, Joacim Rocklöv

“…For deriving these functions, experimental studies provide valuable data on the temperature sensitivity of mosquito life-history traits and pathogen transmission. …”
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Addressing the challenges of estimating the target population in calculation of routine infant immunization coverage in Kenya. by Christine Karanja-Chege, Ambrose Agweyu, Fred Were, Michael Boele van Hensbroek, William Ogallo

“…Although sub-national analysis was not done and there was the significant challenge of missing data, the results nevertheless reveal significant inaccuracies in the current target population estimation methods which may have serious implications on immunisation coverage assessments. …”
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Comparing Monitoring Networks to Assess Urban Heat Islands in Smart Cities by Marta Lucas Bonilla, Ignacio Tadeo Albalá Pedrera, Pablo Bustos García de Castro, Alexander Martín-Garín, Beatriz Montalbán Pozas

“…Implementing low-cost, real-time monitoring networks with distributed stations within the smart city framework faces obstacles in transforming urban spaces. Accurate data are essential for assessing these effects. This paper compares different network types in a medium-sized city in western Spain and their implications for UHI identification quality. …”
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Implementation of environment-based learning model at the elementary education level: a systematic literature review by Suhartono Suhartono, Moh Salimi, Ratna Hidayah, Muna Fauziah, Jupriyanto Jupriyanto

“…Data were analyzed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines with data identification, screening, and determination steps. …”
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The evolution of the 2022–2024 eruption at Home Reef, Tonga, analyzed from space shows vent migration due to erosion by Simon Plank, Emanuele Ciancia, Nicola Genzano, Alfredo Falconieri, Sandro Martinis, Hannes Taubenböck, Nicola Pergola, Francesco Marchese

“…We integrated multi-sensor/multi-platform satellite datasets, including very high spatial resolution TerraSAR-X radar and PlanetScope multispectral data, together with Sentinel-2 and Landsat-8/9 as well as MODIS and VIIRS thermal data to monitor and characterize this latest eruption at Home Reef over a two-year period. …”
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Model of Arabic Language Learning Management in Child-Friendly Schools for the Development of Character Education in the Independent Curriculum by Nasarudin Nasarudin, Nurjannah Nurjannah, Muhirdan Muhirdan, Ahmad Helwani Syafii, Husnan Husnan, Henny Marlina

“…A qualitative approach was used with a case study method, utilizing Miles and Huberman's data analysis techniques. The analysis process began with data condensation, which involves reducing information obtained from interviews, observations, and document analyses to filter relevant data. …”
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Leveraging ECG images for predicting ejection fraction using machine learning algorithms by Abhyuday Kumara Swamy, Vivek Rajagopal, Deepak Krishnan, Paramita Auddya Ghorai, Anagha Choukhande, Santhosh Rathnam Palani, Deepak Padmanabhan, Emmanuel Rupert, Devi Prasad Shetty, Pradeep Narayan

“…Introduction: The capability to accurately predict the ejection fraction (EF) from an electrocardiogram (ECG) holds significant and valuable clinical implications. Various algorithms based on ECG images are currently being evaluated, with most methods requiring raw signal data from ECG devices. …”
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Machine Learning Enabled Prediction of Biologically Relevant Gene Expression Using CT‐Based Radiomic Features in Non‐Small Cell Lung Cancer by Shrey S. Sukhadia, Christoph Sadée, Olivier Gevaert, Shivashankar H. Nagaraj

“…Methods In a retrospective study of two NSCLC patient cohorts separated by 5 years, we performed a radiogenomic analysis of previously disseminated data from 2018 (n = 116) and newly acquired data from 2023 (n = 44) using RNA sequencing and lung CT images. …”
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Estimating trans-seasonal variability in water column biomass for a highly migratory, deep diving predator. by Malcolm D O'Toole, Mary-Anne Lea, Christophe Guinet, Mark A Hindell

“…Here, we use light level and depth data to generate a phytoplankton index that matches daily seal movements. …”
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Women’s experiences and expectations of intimate partner abuse identification in healthcare settings: a qualitative evidence synthesis by Kelsey Hegarty, Laura Tarzia, Evangelica Korab-Chandler, Minerva Kyei-Onanjiri, Jacqueline Cameron

“…Objectives To explore women’s experiences and expectations of intimate partner abuse (IPA) disclosure and identification in healthcare settings, focusing on the process of disclosure/identification rather than the healthcare responses that come afterwards.Design Systematic review and meta-synthesis of qualitative studiesData sources Relevant studies were sourced by using keywords to search the databases MEDLINE, EMBASE, CINAHL, PsychINFO, SocINDEX and ASSIA in September 2021.Eligibility criteria Studies needed to focus on women’s views about IPA disclosure and identification in healthcare settings, use qualitative methods and have been published in the last 5 years.Data extraction and synthesis Relevant data were extracted into a customised template. …”
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Carbonate Seismic Facies Analysis in Reservoir Characterization: A Machine Learning Approach with Integration of Reservoir Mineralogy and Porosity by Papa Owusu, Abdelmoneam Raef, Essam Sharaf

“…To this end, this study utilizes an unsupervised comparative hierarchical and K-means ML classification of the whole 3D seismic data spectrum and a suite of spectral bands to overcome the cluster “facies” number uncertainty in ML data partition algorithms. …”
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SuperMetal: a generative AI framework for rapid and precise metal ion location prediction in proteins by Xiaobo Lin, Zhaoqian Su, Yunchao Lance Liu, Jingxian Liu, Xiaohan Kuang, Peter T. Cummings, Jesse Spencer-Smith, Jens Meiler

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Small for Gestational Age Coded Diagnoses in Aotearoa New Zealand's Administrative Health Datasets: A Validation Study by Mei‐Ling Blank, Sarah Donald, Lianne Parkin

“…ABSTRACT Background and Aims Inaccurate coding of small for gestational age (SGA) infants in routinely collected health data has implications for research based on those data. …”
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Influence of Social Capital on Small and Medium Enterprises Performance in Wakiso District, Uganda by Mbowa ,Henry Stanley, Mbabazi,Phelix Businge, Ssemaluulu, Paul, Eton, Marus

“…In addition, time and data collection biases have implications for this study. …”
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Advancing Hematopoietic Stem Cell Transplantation Typing: Harnessing Hyperledger Fabric’s Blockchain Architecture by Meng Wu, Feng Xu, Geetha Subramaniam, Zeyu Li, Liyun Chen, Wenjuan Zhu

“…It ensures accurate and efficient human leukocyte antigen (HLA) typing while protecting patient and hospital data security. Tests demonstrate the system’s ability to safeguard data security and reliability effectively. …”
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Realizing the promise of machine learning in precision oncology: expert perspectives on opportunities and challenges by Vasileios Nittas, Kelly E. Ormond, Effy Vayena, Alessandro Blasimme

“…Abstract Background The ability of machine learning (ML) to process and learn from large quantities of heterogeneous patient data is gaining attention in the precision oncology community. …”
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K-means and agglomerative clustering for source-load mapping in distributed district heating planning by Amir Shahcheraghian, Adrian Ilinca, Nelson Sommerfeldt

“…This study introduces a high-resolution, data-driven approach for optimizing district heating networks using source-load mapping, focusing on Stockholm as a case study. …”
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