Data, dialogue, and design: patient and public involvement and engagement for natural language processing with real-world cancer data by Wuraola Oyewusi, Eliana M. Vasquez Osorio, Eliana M. Vasquez Osorio, Goran Nenadic, Issy MacGregor, Gareth Price, Gareth Price

“…IntroductionThis study describes the process and outcomes of a Patient and Public Involvement and Engagement (PPIE) event designed to incorporate patient perspectives into the application of Natural Language Processing (NLP) for analyzing unstructured free-text cancer medical notes. The analysis of routinely collected data aims to provide evidence to support clinical decision making in patient groups that are often under-represented in conventional clinical trials, highlighting the critical role of PPIE in responsibly implementing AI within healthcare. …”
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Efficient Trans-Dimensional Bayesian Inversion of C-Response Data from Geomagnetic Observatory and Satellite Magnetic Data by Rongwen Guo, Shengqi Tian, Jianxin Liu, Yi-an Cui, Chuanghua Cao

“…To investigate deep Earth information, researchers often utilize geomagnetic observatories and satellite data to obtain the conversion function of geomagnetic sounding, C-response data, and employ traditional inversion techniques to reconstruct subsurface structures. …”
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Telescope indexing for k-nearest neighbor search algorithms over high dimensional data & large data sets by Madhavan K R, Hasan Kurban, Oguzhan M. Kulekci, Mehmet M. Dalkilic

“…Our strategy is to partition the data into small groups of points similarly distanced from a reference point in a B+ tree data structure and use this data structure to limit the search space of a $$k$$ -NN query. …”
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Generative adversarial networks for creating realistic training data for machine learning-based segmentation of FIB tomography data by Trushal Sardhara, Christian J Cyron, Martin Ritter, Roland C Aydin

“…Accurate 3D reconstruction of the structure of nanomaterials is essential for studying their physical properties. …”
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Multi‐data classification detection in smart grid under false data injection attack based on Inception network by H. Pan, H. Yang, C. N. Na, J. Y. Jin

“…A multi‐data detection model based on the Inception network is established, and the overall structure of the network and the individual Inception modules are given. …”
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Maturity of data interoperability cross-organizations in supporting the concept of one employment data at the ministry and regional government levels by Herpita Wahyuni, Dyah Mutiarin, Ulung Pribadi, Nur Syakiran Akmal Ismail, Eko Priyo Purnomo, Wahyudi Kumorotomo

“…Regression analysis and hypothesis testing are carried out using SEM-PLS (Structural Equation). Modeling—Partial Least Squares) and analyzing the level of maturity of data interoperability using descriptive statistics. …”
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How good is your synthetic data? SynthRO, a dashboard to evaluate and benchmark synthetic tabular data by Gabriele Santangelo, Giovanna Nicora, Riccardo Bellazzi, Arianna Dagliati

“…SynthRO’s accessible GUI and modular structure facilitate effective data evaluation, promoting reliability and fairness. …”
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The genetic structure and diversity of smallholder dairy cattle in Rwanda by Oluyinka Opoola, Felicien Shumbusho, Innocent Rwamuhizi, Isidore Houaga, David Harvey, David Hambrook, Kellie Watson, Mizeck G. G. Chagunda, Raphael Mrode, Appolinaire Djikeng

“…The combined dataset was subject to quality control, data curation for use in population genetics and genomic analyses. …”
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B-value Based Damage Source Localization and Classification Using Acoustic Emission (AE) Data for Concrete Cylinders Wrapped with Hybrid FRCM Composites by Nikhil Holsamudrkar, Sauvik Banerjee

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Structural geometry and gold ores along the first outlined N–S dextral shear zone in the Egyptian Nubian Shield, East African orogenic belt: New insights from integrated remote sen... by Mohamed A. Abd El‑Wahed, Samir Kamh, Mohamed Attia, Ahmed M. Eldosouky

“…Geophysical magnetic and gravity data were used to unravel shallow and deep structures, with geophysical data analysis and edge detection interpretation revealing significant structural directions in the region. …”
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GNSS-Based Monitoring Methods for Mining Headframes by Xu Yang, Zhe Zhou, Yanzhao Yang, Xinxin Yao, Chao Liu, Lei Liu, Shicheng Xie

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Conservation of structural brain connectivity in people with multiple sclerosis by Gerard Martí-Juan, Jaume Sastre-Garriga, Angela Vidal-Jordana, Sara Llufriu, Eloy Martinez-Heras, Sergiu Groppa, Gabriel González-Escamilla, Maria A. Rocca, Massimo Filippi, Einar A. Høgestøl, Hanne F. Harbo, Michael A. Foster, Sara Collorone, Ahmed T. Toosy, Menno M. Schoonheim, Eva Strijbis, Giuseppe Pontillo, Maria Petracca, Gustavo Deco, Àlex Rovira, Deborah Pareto

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Sensitivity analysis of human brain structural network construction by Kuang Wei, Matthew Cieslak, Clint Greene, Scott T. Grafton, Jean M. Carlson

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Toward an Efficient and Robust Process–Structure Prediction Framework for Filigree L-PBF 316L Stainless Steel Structures by Yu Qiao, Marius Grad, Aida Nonn

“…Model predictions are evaluated against experimental electron backscatter diffraction (EBSD) data, with additional quantitative comparisons based on texture and morphology metrics. …”
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Analyzing the function of metaverse technology in the retention and absorption of knowledge using the integrated approach of interpretive structural modeling and structural equatio... by Seyed Mojtaba Hosseinibamakan, Hajar Soleymanizadeh, Mehran Ziaeian

“…This problem affects the validity of interpretive structural modeling approach. To solve this problem and in order to validate the presented model resulting from the interpretive structural modeling approach, the structural equation modeling approach and Smart PLS software were used. …”
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AI-based nanotoxicity data extraction and prediction of nanotoxicity by Eunyong Ha, Seung Min Ha, Zayakhuu Gerelkhuu, Hyun-Yi Kim, Tae Hyun Yoon

“…Artificial intelligence (AI)-based data extraction techniques hold significant potential for extracting and organizing information from unstructured text. …”
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Local Structural Indices Changes During Different Periods of Postherpetic Neuralgia: A Graphical Study in Structural Covariance Networks by Xiong J, Gu L, Jiang X, Kuang H, Lv H, Li Z, Xie Y, Luo Q, Jiang J

“…Eglobal and Lp can be considered as potential imaging markers for future clinical restaging of PHN.Keywords: herpes zoster, postherpetic neuralgia, structural covariance network, graph theory, small world, cortical thickness…”
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Survey data on determinants and barriers to the adoption of improved maize seeds among smallholder farmers in the Katangese CopperbeltMendeley Data by Arsene Mushagalusa Balasha, Angelo Fiore, Mazinga Kwey Michel, Alex Nyumbaiza Tambwe

“…The household survey was conducted using a structured questionnaire administered to 300 smallholder farmers randomly selected from villages around Lubumbashi and Kipushi, including the agricultural zone of Sambwa.Information collected from maize farmers includes: (1) demographic profile (gender, age, education, household size); (2) socioeconomic and farm characteristics (land tenure, cropland size, farming experience, financial support, off-farm employment, obstacles to using improved seeds, reasons for using improved seeds, and concerns about climate change); (3) farmers' networks (membership in agricultural associations, Village Savings and Loan Associations, sources of information, and seed supply channels); and (4) farmers' willingness to recommend these seeds to peers and barriers they face in accessing them.The raw data and codebook are available on Mendeley Data. …”
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Survey data on strategic alignment in multispecialty hospitals: Implementing a balanced scorecard approach for optimal performanceMendeley Data by Shefali Mohan, Rohit Kushwaha, M. Venkatesan, Ramya Singh, Manish Mishra

“…The data collection process involved Interviews and administering structured questionnaires to participants, capturing their perceptions and experiences related to strategic alignment, BSC implementation, and performance outcomes.The dataset comprises responses from a diverse group of healthcare professionals, including doctors, nurses, administrators, and support staff. …”
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TIGPR: A multi-view ground penetrating radar detection data for damage assessment of transportation infrastructure(Mendeley Data). by Zhen Liu, Bingyan Cui, Xingyu Gu

“…It captures various structural damages, such as cracks, interlayer debonding, looseness, and voids, providing valuable data for infrastructure condition monitoring. …”
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