Towards a unified regional surveillance system: the Gulf CDC’s first initiatives by Sami Al Mudarra, Lamis Alghamdi, Ahmed AlHatlan, Andrew Amato Gauci, Aleksandra Polkowska Kramek, Alaa Alqurashi, Nouf Alzuhayri, Sadeem AlShiban, Bushra Alghamdi, Pasi Penttinen

“…This revealed strong national surveillance coverage of CDs but identified areas for improvement, particularly in data quality and representativeness. These findings informed the development of the Gulf CDC’s health information strategy and confirmed the need for a regional surveillance system. …”
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Physical activity and its relationship with health-related quality of life in type II diabetics by Eliana Romina Meza-Miranda, Beatriz Elizabeth Núñez-Martínez

“…A descriptive, analytical cross-sectional design study, which included 116 volunteers with DM2 through an online survey where sociodemographic data, quality of life according to the EuroQoL-5D, health perception according to a visual analog scale, and level of physical activity according to the international IPAQ questionnaire. …”
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Developing a data pricing framework for data exchange by Rupsa Majumdar, Anjula Gurtoo, Minnu Maileckal

“…Application of the Ritchie and Spencer stages identifies eight factors, namely customer need, customer assigned value, market maturity, market structure, usable data, data quality, seller reputation and seller objectives as defining and intersecting with the five pricing models. …”
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Linking Animal Feed Formulation to Milk Quantity, Quality, and Animal Health Through Data-Driven Decision-Making by Oreofeoluwa A. Akintan, Kifle G. Gebremedhin, Daniel Dooyum Uyeh

“…However, despite its potential, the widespread adoption of data-driven feed formulation faces challenges such as data quality, technological limitations, and industry resistance, mostly disjointed processes. …”
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A Comprehensive Methodological Review of Major Developments in Bioinformatics Pipelines for Transcriptomic Data Analysis by Awais ALi, Syed Luqman Ali, Abdelkarem Omneya

“…Results: We examine how well different methods work under various experimental conditions and discuss important factors such as data quality, sequence alignment, data visualization, identifying gene expression differences, and data standardization. …”
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Artificial intelligence driven innovations in biochemistry: A review of emerging research frontiers by Mohammed Abdul Lateef Junaid

“…The review also addresses challenges such as data quality, model interpretability, and ethical considerations. …”
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Improving 3D deep learning segmentation with biophysically motivated cell synthesis by Roman Bruch, Mario Vitacolonna, Elina Nürnberg, Simeon Sauer, Rüdiger Rudolf, Markus Reischl

“…This underscores the potential of incorporating biophysical modeling for enhancing synthetic training data quality.…”
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A Novel User Selection Strategy with Incentive Mechanism Based on Time Window in Mobile Crowdsensing by Xuemei Sun, Xiaorong Yang, Caiyun Wang, Jiaxin Wang

“…In addition, the updating strategy of participants’ credit value is added, and the credit value of participants is updated according to their willingness to participate in the task and data quality. Finally, simulation experiment verifies that the incentive mechanism and participant selection method proposed in this paper have good performance.…”
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Child welfare worker perspectives on documentation and case recording practices in Canada: A mixed-methods study protocol. by Nathaniel J Pollock, Cassandra Yantha, Lil Tonmyr, Kimberly Jewers-Dailley, Melody E Morton Ninomiya

“…This protocol describes a study that seeks to answer two questions: 1) What individual and institutional factors influence how client data is recorded by child welfare workers in Canada? 2) What data quality issues are created through documentation and case recording practices that may impact the use of clinical case management system data for public health statistics? …”
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Derived datasets of daily weather, near surface soil status, flow rates and concentrations of nitrogen species from the North Wyke farm platform, EnglandZenodo by Yusheng Zhang, Jane Hawkins, Hadewij Sint, Adrian L. Collins

“…Released data spanning 2013 to 2024 for 6 selected field catchments were aggregated to daily timestep, with reference to data quality flags, to produce continuous weather data, including maximum and minimum air temperature, daily total rainfall, wind speed and quality assured daily average soil moisture content, soil temperature at 15 cm depth, runoff rates, as well as nitrate, nitrite and ammonium concentrations. …”
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RETRACTED: Intelligent power grid energy supply forecasting and economic operation management using the snake optimizer algorithm with Bigur-attention model by Lingling Cui, Jiacheng Liao

“…Data preprocessing ensures data quality and suitability. In the model training phase, the Snake Optimizer (SO) algorithm-optimized Bigru-Attention model combines time series, spatial features, and optimization features to build a comprehensive prediction model. …”
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Mediating effects of social support between telework and well-being: protocol for a systematic review by Guillaume Fernandez, Mattia Vacchiano, Javier Fernandez-Garcia

“…Double screening procedure with data quality assessments will be carried out by three researchers independently for up to 20% of the studies. …”
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An End-to-End Ocean Environmental Noise Anomaly Detection Framework Combining Time–Frequency Information and Expert Gating by Libin Du, Mingyang Liu, Zhichao Lv, Chuanhe Tan, Junkai He, Fei Yu

“…Finally, an anomaly optimization module is developed to improve data quality, enabling efficient noise anomaly detection and optimization. …”
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Revolutionizing Management Accounting: The Role of Artificial Intelligence in Predictive Analytics, Automated Reporting, and Decision-Making by Milos Pavlovic, Cedomir Gligoric, Filip Zdravkovic, Danijela Pavlovic

“…However, successful implementation must address challenges related to data quality, system integration, and regulatory compliance. …”
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Examining information needs of public data service users: a study based on the ‘Message Board for Leaders of People’s Daily in China’ by Xiaoyue Zhang, Jinya Liu, Xinyue Wang, Wanteng Ma, Pu Yan

“…Government departments should ensure public data quality and facilitate efficient data circulation processes. …”
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Impact of phytochemical-based hydrocolloid dressings on wound healing: A comparative review by Sipho Sibanda, Mapula Razwinani, Keolebogile Shirley Motaung

“…Data appraisal was done by an analysis of the data quality by the authors. Results: Of a total of 866 records identified, 4 qualified for further assessment. …”
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A mixed-methods systematic review of mental health activities among urban left-behind children in mainland China by Siyu Long, Siyu Long, Zainal Bin Madon, Noris Mohd Norowi, Mei Foong Ang

“…The facilitators were parents and activity design.ConclusionThis review revealed that some studies suffered from poor data collection methods and data quality. Studies on services for mental health in urban left-behind children requires methodologically robust study designs for broader dissemination and rigorous evaluation.Systematic review registrationPROSPERO, CRD42023384078, available from: https://www.crd.york.ac.uk/prospero/display_record.php?…”
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Lessons learned from syndemic HIV research in an immigrant, latinx sexual and gender minority community by Nicholas Metheny, Dalton Scott, Sandor Santana, Rosa Pache

“…By drawing inferences from study data and contextualizing these with community partners, we learned: (1) Large parts of the target community may be unfamiliar with the underlying constructs captured in important HIV-related measures; (2) Cash incentives may shift motivation from intrinsic to extrinsic and lead to poorer data quality; (3) Deviations in Spanish go beyond vocabulary used in different Latin American countries, and more formal Spanish may relay concepts in unfamiliar ways that are unapproachable; and (4) community members may be unfamiliar with survey data collection processes and the protections in place to ensure confidentiality. …”
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Short-Term Power Prediction of Building Integrated Photovoltaic (BIPV) System Based on Machine Learning Algorithms by R. Kabilan, V. Chandran, J. Yogapriya, Alagar Karthick, Priyesh P. Gandhi, V. Mohanavel, Robbi Rahim, S. Manoharan

“…The proposed prediction methodology comprises a data quality stage, machine learning algorithm, weather clustering assessment, and an accuracy assessment. …”
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The Development of Learning Environment Based on Learning Materials in EFL Speaking Class by Nyak Mutia Ismail, Marisa Yoestara

“…This study was qualitative in nature where the data quality was the key point measurement for further steps in finding the answer(s) to the research question. …”
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