Accuracy of routinely-collected healthcare data for identifying motor neurone disease cases: A systematic review. by Sophie Horrocks, Tim Wilkinson, Christian Schnier, Amanda Ly, Rebecca Woodfield, Kristiina Rannikmäe, Terence J Quinn, Cathie L M Sudlow

“…<h4>Methods</h4>We performed an electronic search of MEDLINE, EMBASE, Cochrane Library and Web of Science for studies published between 01/01/1990-16/11/2015 that compared MND cases identified in routinely-collected, coded datasets to a reference standard. …”
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Assessment of Hydrologic Data Estimates From ERA5 Reanalyses in Benin, West Africa by René Bodjrènou, Luc Ollivier Sintondji, Yekambessoun M' Po N'Tcha, Diane Germain, Francis Esse Azonwade, Fernand Sohindji, Gilbert Hounnou, Edid Amouzouvi, Arthur Freud Segnon Kpognin, Françoise Comandan

“…Single nearest pixel (SNP) and inverse distance weighting (IDW) selection methods were used to compare the reanalyse data to point station data based on the correlation (c), mean absolute error (MAE) and relative mean absolute error (RMAE). …”
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Identification of recurrences in women diagnosed with early invasive breast cancer using routinely collected data in England by Jake Probert, David Dodwell, John Broggio, Robert Coleman, Helen Marshall, Sarah C. Darby, Gurdeep S. Mannu

“…Information is routinely available on breast cancer mortality but not on recurrence. Methods We used a database compiled by the West Midlands Cancer Intelligence Unit during 1997–2011 to develop and train a deterministic algorithm to identify recurrences in routinely collected data (RCD) available within NHS England. …”
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Updated fine-scale location data for Blantyre district collected using a low-cost approach by Chifuniro Baluwa, Patrick Ken Kalonde, Upendo Lisa Mseka, Owen Tsoka, Kingsley Kajanga, Faith Chimphondah, Prince Time Matope Aaron, Francis Chimbalanga, Blessings Chiepa, Clinton Nkolokosa, Latif Ndeketa, Patrick Musicha, Kondwani Charles Jambo, Michelle C. Stanton, James Chirombo

“…Abstract Knowing up-to-date geographical location of residential areas is crucial for understanding health-related factors and formulating targeted interventions. However, such data are often unavailable or resource-intensive to collect. …”
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Rapid ecological data collection from 360‐degree imagery using visualisation and immersive sampling in the R pannotator package by Robert Godfree, Nunzio Knerr

“…Abstract With rapid environmental change occurring globally there is an urgent need for new field survey methods that enable fast and efficient collection of ecological information from impacted systems. …”
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Assessing the accuracy of adherence and sexual behaviour data in the MDP301 vaginal microbicides trial using a mixed methods and triangulation model. by Robert Pool, Catherine M Montgomery, Neetha S Morar, Oliver Mweemba, Agnes Ssali, Mitzy Gafos, Shelley Lees, Jonathan Stadler, Andrew Nunn, Angela Crook, Richard Hayes, Sheena McCormack

“…In the absence of a "gold standard" the collection of such data relies largely on participant self-reporting. …”
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Earthquake Prediction and Alert System Using IoT Infrastructure and Cloud-Based Environmental Data Analysis by Cosmina-Mihaela Rosca, Adrian Stancu

“…The study proposes that abrupt weather parameter value fluctuations may influence the occurrence of shallow seismic events by focusing on developing an innovative concept that combines historical meteorological and seismic data collection to predict potential earthquakes. …”
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Football refereeing: Identifying innovative methods by Reza MohammadKazemi, Farnoosh Taherkhani, Heydar Soleymani, Mustafa Darvishi

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A scoping review using social network analysis techniques to summarise the prevalance of methods used to acquire data for athlete survelliance in sport by Watson P. J., Fieldsend J. E., Stiles V.H.

“…The most prevalent combination in team and field-based sports were HR and/or sRPE (internal) and GPS, whereas in individual and court-based sports, internal methods (e.g., HR and sRPE) were most prevalent. In court-based sports, where external methods were occasionally collected in combination with internal methods of acquiring data, the use of accelerometers or inertial measuring units (ACC/IMU) were most prevalent. …”
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Differing Methods and Definitions Influence DALY estimates: Using Population-Based Data to Calculate the Burden of Convulsive Epilepsy in Rural South Africa. by Ryan G Wagner, Fredrick Ibinda, Stephen Tollman, Lars Lindholm, Charles R Newton, Melanie Y Bertram

“…<h4>Methods & findings</h4>Comprehensive prevalence, incidence and mortality data on convulsive epilepsy were collected within the Agincourt sub-district in rural northeastern South Africa between 2008 and 2012. …”
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Evaluating Population Normalization Methods Using Chemical Data for Wastewater-Based Epidemiology: Insights from a Site-Specific Case Study by Marco Verani, Ileana Federigi, Alessandra Angori, Alessandra Pagani, Francesca Marvulli, Claudia Valentini, Nebiyu Tariku Atomsa, Beatrice Conte, Annalaura Carducci

“…This study evaluated different SARS-CoV-2 normalization methods, comparing static population estimates with dynamic normalization based on common physicochemical parameters: chemical oxygen demand (COD), biochemical oxygen demand (BOD₅), and ammonia (NH₄-N). …”
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Piloting of a minimum data set for older people living in care homes in England: protocol for a longitudinal, mixed-methods study by Claire Goodman, Julienne Meyer, Barbara Hanratty, Lisa Irvine, Arne Timon Wolters, Richard James Brine, Elizabeth Crellin, Gizdem Akdur, Adam Gordon, Anne Killett, Jennifer Burton, Ann-Marie Towers, Stacey Rand, Stephen Allan, Lucy Anne Webster, Kaat De Corte, Liz Jones

“…Introduction Health and care data are routinely collected about care home residents in England, yet there is no way to collate these data to inform benchmarking and improvement. …”
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Innovative Methods to Motivate Employees in Business by Yeva Bohdanova, Maria Zelena

“…The research methodology is based on content analysis of previous studies and analysis of empirical data collected through a survey of 50 representatives of various business sectors in the city of Khmelnytskyi. …”
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A COMPREHENSIVE STUDY ON THE BITING ACTIVITIES OF Leptoconops spinosifrons: COMPARING HUMAN LANDING CATCH AND MODIFIED TRAP METHOD FOR COLLECTING BITING MIDGE POPULATIONS AT BAGAN... by Nur Amalina Kamarudin, Mohd Khadri Shahar, Azahari Abd Hadi, Hillarian Mojiun, Hasirah Japarudin, Johnnetha John Gindabal, Salvie Dekau

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Application of the polynomial chaos expansion method for forecasting structural response of two full-scale case studies by Georgijev Viktor, Bogoevska Simona

“…Consequently, identifying the source of any existing discrepancies between obtained model results and measured data is difficult. This paper demonstrates a straightforward implementation of the polynomial chaos expansion method for the formulation of prognostic data-driven models targeted at tracking changes in continuously measured structural response. …”
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Novel methods to study sea ice deformation, linear kinematic features and coherent dynamic clusters from imaging remote sensing data by P. Itkin, P. Itkin

“…Subsequently, a power law to evaluate the deformation rates at decreasing spatial resolutions was employed to assess the quality of the filtered data. Upon positive evaluation of the filtered data, two innovative methods for sea ice deformation assessment were introduced. …”
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Cloud Detection Challenge-Methods and Results by Alessio Barbaro Chisari, Luca Guarnera, Alessandro Ortis, Wladimiro Carlo Patatu, Bruno Casella, Luca Naso, Giuseppe Puglisi, Vincenzo del Zoppo, Mario Valerio Giuffrida, Sebastiano Battiato

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An Analysis of Sentiment: Methods, Applications, and Challenges by Harish Dutt Sharma, Parul Goyal

“…Devices that allow the collection of huge amounts of unstructured, opinionated data are becoming increasingly connected with humans. …”
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Collecting Data in Forbidden Places: Reflections on Gaining Access, Mitigating Risks, and Managing Fieldworkers in Geopolitically Sensitive and Precarious Situations by Hamid Azizi, R. V. Gundur

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Machine learning based method for forecasting short-term passenger flow in urban rail stations by HU Mingwei, SHI Xiaolong, WU Wenlin, HE Guoqing

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