Trans and gender diverse identities in adolescent health research: making the most of imperfect data by Emma Soneson, Mina Fazel, Shona O'Leary

“…Specific topics discussed include how to assess the strengths and limitations of existing gender data; how to generate meaningful research data from free-text gender descriptions (and the implications of not doing so); and how to analyse data from TGD adolescents, including for those who choose not to disclose their gender. …”
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Synthetic data and ELSI-focused computational checklists-A survey of biomedical professionals' views. by Jennifer K Wagner, Laura Y Cabrera, Sara Gerke, Daniel Susser

“…Concerns about AI/ML are prominent, but attention to two specific aspects of AI/ML have so far received little research attention: synthetic data and computational checklists that might promote not only the reproducibility of AI/ML tools but also increased attention to ethical, legal, and social implications (ELSI) of AI/ML tools. …”
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Outsourcing accountability: Extractive data practice and inequities of power in humanitarian third-party monitoring by Stephanie Diepeveen, John Bryant, Mahad Wasuge

“…Since the early 2010s, humanitarian donors have increasingly contracted private firms to monitor and evaluate humanitarian activities, accompanied by a promise of improving accountability through their data and data analytics. This article contributes to scholarship on data practices in the humanitarian sector by interrogating the implications of this new set of actors on humanitarian accountability relations. …”
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Advancing Data Privacy in Cloud Storage: A Novel Multi-Layer Encoding Framework by Kamta Nath Mishra, Rajesh Kumar Lal, Paras Nath Barwal, Alok Mishra

“…By integrating these elements, the proposed approach aims to enhance both the flexibility and efficiency of data protection in cloud environments. The findings of this study are anticipated to have significant implications, contributing to the advancement of existing techniques and inspiring the development of innovative research-driven solutions. …”
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Data analytics-driven innovation: UTAUT model perspectives for advancing healthcare social work by Suliman Abdalla, Wafa Al-Maamari, Jamal Al-Azki

“…The study’s findings have significant practical implications for healthcare decision-makers, social workers, and other stakeholders aiming to advance service delivery and improve patient outcomes through innovative data-driven solutions.…”
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Intelligent Interior Design Systems: Optimizing Layouts and Aesthetics Using AI and User Data by Zhe Ji, Yan Yu

“…This paper introduces an advanced intelligent interior design system that synergizes deep learning, mathematical optimization, and user data integration to automate and personalize layout generation. …”
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Performance of fine particulate matter data on air quality in an epidemiological study in Salvador, Brazil by Ludmilla Viana Jacobson, Sandra Hacon, Vanúcia Schumacher, Clarcson Plácido Conceição Dos Santos, Nelzair Vianna

“…Results: According to the results, satellite data underestimated the PM2.5 levels compared to ground measurements. …”
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Job Demand Estimation Using Text Embeddings of Patent Classification Codes and Occupational Data by Taehyun Ha, Ahram Moon

“…The study also acknowledges limitations, such as the need for improved job-task matching and additional data integration, while discussing broader implications for labor market forecasting.…”
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Investigation of Freeway Incident Duration Using Classification and Regression Trees Based on Multisource Data by Xun Xie, Gen Li, Lan Wu, Shuxin Du

“…This study has important practical implications for advancing the engineering application of machine learning methods and the analysis of sensor data.…”
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Developing animated video-based learning with powtoon to foster critical thinking in data presentation by Tomi Listiawan, Jane Eka Sari Radiyah

“…The study concludes that Powtoon-animated videos are an effective tool for fostering critical thinking in data presentation, offering practical implications for multimedia-assisted learning in mathematics education. …”
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Lost in Translation? A Critical Review of Economics Research Using Nighttime Lights Data by John Gibson, Omoniyi Alimi, Geua Boe-Gibson

“…This review considers two implications of the growing distance in the literature between economists using NTL data and remote sensing scientists. …”
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Long-Short Term Memory Networks and Synthetic Data for Heavy Vehicle Rollover Prevention by Guido Perboli, Antonio Tota, Filippo Velardocchia

“…At the same time, their heavy requirements in terms of data needs to be addressed to allow practical applications in terms of time and costs. …”
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A data-consistent model of the last glaciation in the Alps achieved with physics-driven AI by Tancrède P. M. Leger, Guillaume Jouvet, Sarah Kamleitner, Jürgen Mey, Frédéric Herman, Brandon D. Finley, Susan Ivy-Ochs, Andreas Vieli, Andreas Henz, Samuel U. Nussbaumer

“…Numerical modelling of this glaciation has been challenged by model-data disagreements, including overestimations of ice thickness. …”
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Prediction method of sugarcane important phenotype data based on multi-model and multi-task. by Jihong Sun, Chen Sun, Zhaowen Li, Ye Qian, Tong Li

“…Furthermore, an analysis of the sugarcane intelligent prediction model's performance under a specialized data environment, incorporating self-prepared data, reveals that the XGBoost algorithm exhibits greater stability. …”
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Morphometric analysis of watersheds: A comprehensive review of data sources, quality, and geospatial techniques by Padala Raja Shekar, Aneesh Mathew

“…The main objective of this review article is to address these gaps by providing an in-depth study of each parameter's categorization, including the range of values, the level of input data quality, the data products generated, and the applicability of the fundamental Horton's laws. …”
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Utilizing patient data: A tutorial on predicting second cancer with machine learning models by Hossein Sadeghi, Fatemeh Seif, Erfan Hatamabadi Farahani, Soraya Khanmohammadi, Shahla Nahidinezhad

“…Conclusion The practical implications of this research lie in enhancing our understanding and prediction of SC following RT, facilitating personalized treatment approaches, and establishing a framework for leveraging patient data within the realm of ML models.…”
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Understanding the use of patient-reported data by health care insurers: A scoping review. by Anne Neubert, Óscar Brito Fernandes, Armin Lucevic, Milena Pavlova, László Gulácsi, Petra Baji, Niek Klazinga, Dionne Kringos

“…Health insurers are advised to be more explicit in regard to the role they want to play within the health system and society at large, and accommodate implications for the use of patient-reported data accordingly.…”
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A stacked ensemble model for traffic conflict prediction using emerging sensor data by Bowen Cai, Léah Camarcat, Nicolette Formosa, Mohammed Quddus

“…To address this gap, this study leverages data collected from various infrastructure and vehicle-based sensors, including drones, lidars, radars and cameras, across different scenarios in China and the UK: urban junctions, motorway segments and vehicle-based data from instrumented vehicles. …”
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Assessing the Impact of Land Use on Dew Yield Using Remote Sensing Data in Taiwan by J. J. Lin, A. N. Arslan, A. N. Arslan

“…This study integrates the Nocturnal Condensation Potential Index (NCPI) with satellite-derived Leaf Area Index (LAI) and Land Use/Land Cover (LULC) data to evaluate dew condensation potential across Taiwan from May 2016 to April 2017. …”
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Arabic Opinion Classification of Customer Service Conversations Using Data Augmentation and Artificial Intelligence by Rihab Fahd Al-Mutawa, Arwa Yousuf Al-Aama

“…This study contributes to the advancement of Arabic opinion mining, as it is the first to report the performance of determining customer satisfaction levels using Arabic conversation data. The implications of this study are significant, as the findings can be applied to improve customer service in various organizations.…”
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