Multi-UAV assisted air-to-ground data collection for ground sensors with unknown positions by Cheng Yiran, Dong Yangrui

“…Existing work on using UAVs to collect data from ground sensors has not yet addressed the scenario where the positions of ground sensors are unknown. …”
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Constraints in social science research: data collection and sampling techniques for hard-to-reach population by ADEJARE, Taiwo

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The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) statement. by Eric I Benchimol, Liam Smeeth, Astrid Guttmann, Katie Harron, David Moher, Irene Petersen, Henrik T Sørensen, Erik von Elm, Sinéad M Langan, RECORD Working Committee

“…RECORD was created as an extension to the STROBE statement to address reporting items specific to observational studies using routinely collected health data. RECORD consists of a checklist of 13 items related to the title, abstract, introduction, methods, results, and discussion section of articles, and other information required for inclusion in such research reports. …”
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Project Euphonia: advancing inclusive speech recognition through expanded data collection and evaluation by Alicia Martin, Robert L. MacDonald, Pan-Pan Jiang, Marilyn Ladewig, Julie Cattiau, Rus Heywood, Richard Cave, Jimmy Tobin, Philip C. Nelson, Katrin Tomanek

“…This paper presents an overview of the extension of processes and methods used for English data collection to more languages and locales, progress on the collected data, and details about our model evaluation process, focusing on meaning preservation based on Generative AI.…”
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Exploring Feed Efficiency in Beef Cattle: From Data Collection to Genetic and Nutritional Modeling by Ayooluwa O. Ojo, Henrique A. Mulim, Gabriel S. Campos, Vinícius Silva Junqueira, Ronald P. Lemenager, Jon Patrick Schoonmaker, Hinayah Rojas Oliveira

“…This review examines the progression from traditional data collection methods to modern genetic and nutritional approaches that enhance feed efficiency. …”
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VDCM: A Data Collection Mechanism for Crowd Sensing in Vehicular Ad Hoc Networks by Juli Yin, Linfeng Wei, Zhiquan Liu, Xi Yang, Hongliang Sun, Yudan Cheng, Jianbin Mai

“…Aiming at the problem of aggregation security and efficiency in large-scale data collection, this article proposes a data collection mechanism (VDCM) for crowd sensing in vehicular ad hoc networks (VANETs). …”
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An international comparison of longitudinal health data collected on long COVID in nine high income countries: a qualitative data analysis by Josephine Exley, Edmund Stubbs, Raphael Wittenberg, Nicholas Mays

“…We sought to identify and examine longitudinal health data collected on long COVID to inform potential decisions in England regarding the rationale for data collection, the data collected, the sources from which data were collected and the methods used for collection. …”
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Ex-ante determinants of IPOs: A dataset for the Malaysian IPOsMendeley Data by Ali Albada, Soo-Wah Low, Rabie A. Ramadan, Khalid Al Qatiti, Muataz Salam Al-Daweri

“…The final sample comprises 350 IPOs priced using the fixed-price method, which were hand-collected from multiple sources. …”
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Research Electronic Data Capture (REDCap) for Population-Based Data Collection in Low- and Middle-Income Countries: Opportunities, Challenges, and Solutions by Ha Thanh Le, Dung Viet Tien Vu, Thi Ngoc Anh Nguyen, Hang Tran Thi, Tan Viet Nguyen, Thao Phuong Tran, Aria Kekalih, Samita Rijal, Dewi Friska, Raph L. Hamers, Abhilasha Karkey, Mary Chambers, Jennifer Ilo Van Nuil, Sonia Lewycka

“… Health research requires high-quality data, and population-based health research comes with specific opportunities and challenges for data collection. …”
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Optimization method for civil aircraft maintenance tasks with obvious operation effects of faults by LAI Tao, CAI Jing, ASSILA Achraf

“…Secondly, all planned and unplanned maintenance data related to this category of maintenance tasks are collected. …”
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Deep learning to evaluate seismic-induced soil liquefaction and modified transfer learning between various data sources by Hongwei Guo, Chao Zhang, Hongyuan Fang, Timon Rabczuk, Xiaoying Zhuang

“…Soil liquefaction assessment remains a crucial and complex challenge in seismic geotechnical engineering due to various liquefaction records and limited information, which entails a more generalized off-the-shelf model that can achieve favourable performance on different data sources. In this work, a deep learning model is built and investigated on the soil liquefaction prediction and a modified transfer learning scheme between different data sources is presented. …”
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Exploring Deep Clustering Methods in Vibro-Acoustic Sensing for Enhancing Biological Tissue Characterization by Robin Urrutia, Diego Espejo, Montserrat Guerra, Karin Vio, Thomas Suhn, Nazila Esmaeili, Axel Boese, Patricio Fuentealba, Alfredo Illanes, Christian Hansen, Victor Poblete

“…Nonlinear dimensionality reduction techniques, often referred to as manifold learning, are increasingly valuable for data visualization and unsupervised clustering. In the context of surgery and medicine, these methods facilitate the analysis of complex datasets, enabling pattern recognition in surgical data. …”
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Comparison of traditional methods versus digital learning methods among undergraduate medical students in Pakistan by Shazia Fakhir Durrani, Ammara Hameed, Fatima Fakhir Musharraf

“…Sample size was calculated using open epi and keeping confidence interval at 95%. Data was collected using in-depth interviews, and focus group discussions. …”
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State of Methods More Than Mere Words: Applying Linguistic Analysis Methods to Qualitative Projects by Felice D. Billups

“…Researchers employ numerous methods to explore phenomena, but few studies feature linguistic prompts as a primary data collection strategy. …”
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Online Estimation Method and Verification of Sampling Mass for Lunar Drilling in the Chang’E-6 Mission by Gao Zhang, Lei Guo, Weiwei Zhang, Shengyuan Jiang, Xiangjin Deng, Nai Zhang, Zongquan Deng

“…Furthermore, constrained by extraterrestrial environmental limitations, the system can only obtain health parameters, operational protocol parameters, and drilling status parameters while lacking direct measurement data on sampling mass. The development of online estimation methods for sampling mass under nonlinear and under-sensing characteristics poses significant technical challenges. …”
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The Australian Traumatic Brain Injury Initiative: Statement of Working Principles and Rapid Review of Methods to Define Data Dictionaries for Neurological Conditions by Matthew K. Bagg, Amelia J. Hicks, Sarah C. Hellewell, Jennie L. Ponsford, Natasha A. Lannin, Terence J. O'Brien, Peter A. Cameron, D. Jamie Cooper, Nick Rushworth, Belinda J. Gabbe, Melinda Fitzgerald

“…This rapid systematic review aimed to identify and characterize methods for designing data dictionaries to collect outcomes or variables in persons with neurological conditions. …”
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Impact of Spatial Distribution Methods for Rainfall on Flash Floods Modelling Using a Hydrodynamic Model by Nan Sun, Wei Huang, Maggie Creed, Xihuan Sun

“…However, rainfall gauging stations can be sparse in these regions, and collected data may not reflect the real rainfall distribution across the catchment. …”
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Orchard Navigation Method Based on RS-SC Loop Frame Search Method and SLAM Technology by Ning Xu, Qingshan Meng, Fengping Liu, Zhihe Li, Guangming Wang, Na Guo, Wenxuan Wu

“…According to the environmental characteristics of apple orchard, the research preprocessed the point cloud data collected by LiDAR, and combined with the LiDAR odometer method based on line and plane feature point matching, the pose estimation and map construction were carried out. …”
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Learning from electronic prescribing errors: a mixed methods study of junior doctors’ perceptions of training and individualised feedback data by Bryony Dean Franklin, Monsey McLeod, Ann Chu, Arika Kumar, Geraldine Depoorter

“…However, there was a lack of consensus about how best to learn from statistical data. Potential limitations identified by participants included concern about how the data would be collected and whether it would be truly reflective of their performance.Conclusions Junior doctors would value feedback on their prescribing, and are keen to learn from EP errors, develop their clinical prescribing skills and use the EP interface effectively. …”
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Mixed-methods evaluation of acceptability of the District Health Information Software (DHIS2) for neglected tropical diseases program data in Cameroon by Henri C Moungui, Hugues C Nana-Djeunga, Georges B Nko’Ayissi, Aboubakary Sanou, Joseph Kamgno

“…Our study aimed to explore the factors that affect acceptability and use of DHIS2 by NTD stakeholders for successful integration of NTD program data into the national DHIS2. # Methods For purposes of this mixed-methods study, the data were collected through a self-administered questionnaire targeting NTD stakeholders at different levels of the health pyramid from all the ten Regions in Cameroon. …”
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