Cervical ripening at home or in hospital during induction of labour: the CHOICE prospective cohort study, process evaluation and economic analysis by Mairead Black, Cassandra Yuill, Mairi Harkness, Sayem Ahmed, Linda Williams, Kathleen A Boyd, Maggie Reid, Amar Bhide, Neelam Heera, Jane Huddleston, Neena Modi, John Norrie, Dharmintra Pasupathy, Julia Sanders, Gordon C S Smith, Rosemary Townsend, Helen Cheyne, Christine McCourt, Sarah Stock

“…The qCHOICE study reported descriptive statistics of quantitative survey data and thematic analysis of focus group and interview data. …”
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Research on Gating Fusion Algorithm for Power Grid Survey Data Based on Enhanced Mamba Spatial Neighborhood Relationship by Aiyuan Zhang, Jinguo Lv, Yu Geng, Xiaolei Wang, Xianhu Li

“…However, the model’s generalization performance across different data sources and environmental conditions has yet to be evaluated. …”
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Time-lapse 3D image datasets of spruce tree wood enzymatic deconstructionZenodo by Solmaz Hossein Khani, Noah Remy, Khadidja Ould Amer, Berangère Lebas, Anouck Habrant, Grégoire Malandain, Gabriel Paës, Yassin Refahi

“…This is mainly due to the lack of quantitative data on cell wall enzymatic deconstruction at microscale. …”
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Phase diagram from nonlinear interaction between superconducting order and density: toward data-based holographic superconductor by Sejin Kim, Kyung Kiu Kim, Yunseok Seo

“…We obtain holographic models that reproduce borderlines of the normal and superconducting phases provided by actual data. Our work is the first holographic attempt to match phase transition data quantitatively obtained from experiments. …”
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Enhancing Black Soil Fertility and Microbial Community Structure via Microbial Agents to Reduce Chemical Fertilizer Dependency: A Strategy to Boost Maize Yield by Fenglin Zhang, Nan Wang, Chenyu Zhao, Luze Yang, Xingmin Zhao, Hongjun Gao, Fugui Zhang, Hongbin Wang, Ning Huang

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qRT-PCR Reference Gene Selection for the Discoloration of Tender Leaves in Hawk Tea (<i>Litsea coreana</i>) by Qianli Dai, Min Lu, Ximeng Yang, Chenggong Lei, Feiyi Huang, Xueping Hu, Xin Huang, Xiaolong Nie, Daojing Chen, Sicheng Huang, Hengxing Zhu

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A Framework for Gold Price Prediction Combining Classical and Intelligent Methods with Financial, Economic, and Sentiment Data Fusion by Gergana Taneva-Angelova, Stefan Raychev, Galina Ilieva

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Visual Content Captioning and Audio Conversion using CNN-RNN with Attention Model by Aldy Agil Hermanto, Giat Karyono, Imam Tahyudin, Boby Sandityas Prahasto

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A multi-source landslide early warning model based on dynamic monitoring data and the SAAHP-FCE method by Duo Wang, Guanwen Huang, Qin Zhang, Yang Gao, Yuan Du, Xiaohuan Liu

“…To address these issues, a multi-source early warning model using dynamic monitoring data is proposed, combining the Self-Adaptive Analytic Hierarchy Process (SAAHP) with the Fuzzy Comprehensive Evaluation (FCE) method. …”
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Estimating Subsurface Geostatistical Properties from GPR Reflection Data Using a Supervised Deep Learning Approach by Yu Liu, James Irving, Klaus Holliger

“…An important aspect of the training process is that the synthetic GPR data are generated using a computationally efficient approximate solution of the underlying physical problem. …”
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NDEExplorer: Visual Analytics for Exploring Damage Modes via Multimodal Data in the Non-Destructive Examination of Composite Materials by Dongliang Guo, Lisha Zhou, Xingfa Luo

“…In addition, the system features a fusion analysis approach and a view that combines AE and DIC methods, enabling users to explore the correlations and trends in multimodal data generated during the material damage process. …”
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A novel transformer health state direct prediction method based on knowledge and data fusion‐driven model by Peng Zhang, Guoliang Zhang, Fei Zhou, Xiaoyu Fan, Yi Zhang, Zexu Du

“…The actual fault mechanism, existing expert experience, and other knowledge in the diagnosis process are quantified. Then, the attention model is subsequently optimised, leveraging quantitative knowledge to effectively constrain and guide the data prediction process. …”
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Extensible Immunofluorescence (ExIF) accessibly generates high-plexity datasets by integrating standard 4-plex imaging data by Ihuan Gunawan, Felix V. Kohane, Moumitha Dey, Kathy Nguyen, Ye Zheng, Daniel P. Neumann, Fatemeh Vafaee, Erik Meijering, John G. Lock

“…Introducing data integration concepts from omics to microscopy, ExIF empowers life scientists to use routine 4-plex fluorescence microscopy to quantitatively interrogate complex, multimolecular single-cell processes in a manner that approaches the performance of multiplexed labelling methods whose uptake remains limited.…”
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Predictive machine learning and multimodal data to develop highly sensitive, composite biomarkers of disease progression in Friedreich ataxia by Susmita Saha, Louise A. Corben, Louisa P. Selvadurai, Ian H. Harding, Nellie Georgiou-Karistianis

“…The field urgently requires more sensitive, objective, and clinically relevant biomarkers to enhance the evaluation of treatment efficacy in clinical trials and to speed up the process of drug discovery. This study pioneers the development of clinically relevant, multidomain, fully objective composite biomarkers of disease severity and progression, using multimodal neuroimaging and background data (i.e., demographic, disease history, genetics). …”
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Rapid Detection of Key Phenotypic Parameters in Wheat Grains Using Linear Array Camera by Wenjing Zhu, Kaiwen Duan, Xiao Li, Kai Yu, Changfeng Shao

“…The phenotype analysis of wheat using the image processing techniques presented in this study shows strong consistency with manual detection methods, providing valuable quantitative data to assist in breeding selection and accelerate genetic improvement practices.…”
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Data-Driven Decision-Making for Flexible Natural Gas Allocation Under Uncertainties: An Agent-Based Modelling Approach by Noor Yusuf, Ahmed AlNouss, Roberto Baldacci, Tareq Al-Ansari

“…However, the economic scenario of case 3 demonstrates the second-highest rate of emissions (0.66 CO2-eq t/y), following the hydrogen-rich process routes in case 2. Overall, this study presents an innovative data-driven framework for enhancing strategic resource allocation in dynamic business environments. …”
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Multidisciplinary stakeholder engagement in a type 2 diabetes comparative effectiveness study utilizing real-world data by Elizabeth H. Golembiewski, Mindy M. Mickelson, Juan P. Brito, Victor M. Montori, Rozalina G. McCoy

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Integration of transcriptome and immunophenotyping data highlights differences in the pathogenetic kinetics of B cells across immune-mediated disease by Kazuhiko Yamamoto, Mineto Ota, Keishi Fujio, Yasuo Nagafuchi, Tomohisa Okamura, Saeko Yamada, Hirofumi Shoda, Takahiro Itamiya, Toshihiko Komai, Shinji Izuka, Kosuke Matsuki

“…Patients were stratified based on immunophenotyping data. Subsequently, we examined clinical and transcriptomic differences among these stratified clusters.Results Patients with IMDs were stratified into two clusters based on their immunophenotypes. …”
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Climate Study of Changes of Major Water Resources in Qom Province Using Satellite Data and Remote Sensing Technologies by Nima Rohani, Taher Rajaee, Barat Mojaradi, Ehsan Jabbari, Seyed Ahmad Shafiei Darabi, Mehran Heidari Bani

“…The purpose of the present study is to study the changes of Namak (salt) Lake and Hoz-e Soltan Salt Lake using quantitative and qualitative meteorological data of ground stations and Landsat satellite images. …”
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A collaborative approach to advancing research and training in Public Health Data Science—challenges, opportunities, and lessons learnt by Elisha Abade, Wondwossen Mulugeta, Idah Orowe, Getachew Hailemariam, Patrick Weke, Rahel Bekele, Isabelle Zaugg, Jeff Goldsmith, Tiffany Sanchez, Kiros Berhane

“…The lack of human capacity and resources for public health data analysis as well as the dire need to use modern technology for better understanding and possible intervention cannot be dealt with currently available educational programs and computing infrastructure, demanding a great deal of collaboration and investments within Africa and with the Global North This paper describes processes undertaken to establish sustainable research training programs and to train a new generation of data scientists with knowledge, mentoring, professional skills, and research immersion. …”
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