Effects of data transformation and model selection on feature importance in microbiome classification data by Zuzanna Karwowska, Oliver Aasmets, Estonian Biobank research team, Tomasz Kosciolek, Elin Org

“…Microbiome data transformations can alleviate some of the aforementioned challenges, but their usage in machine learning tasks has largely been unexplored. …”
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Exploring Genomic Differences between a Pair of <i>Vitis vinifera</i> Clones Using WGS Data: A Preliminary Study by Daniela Araya-Ortega, Felipe Gainza-Cortés, Gonzalo Riadi

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Urban Environmental Predictors of Group Size in Cliff Swallows (<i>Petrochelidon pyrrhonota</i>): A Test Using Community-Science Data by Cassie Rueda, Kevin J. McGraw

“…The urban heat island effect and shifts in resource availability (e.g., food, water) may also affect colonial birds. Here, we used five years of community-science data available in eBird to investigate urban impacts on group size in Cliff Swallows (<i>Petrochelidon pyrrhonota</i>), an abundant colonial bird species that now breeds readily under bridges and other built structures over or near water in Phoenix, Arizona, USA. …”
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Mapping soil organic carbon stocks of different land use types in the Southern Moscow region by applying machine learning to legacy data by Yury A. Dvornikov, Lukyan A. Mirniy, Ekaterina S. Mukvich, Kristina V. Ivashchenko

“…Differences in stocks within different land use types were shown quantitatively. At the same time, the spectral reflectance in the near infrared band (B5) of Landsat‑5 TM made the greatest contribution in explaining the differences within individual types (among fallow lands and urbanized areas), and the spectral index NDVI has explained the spatial variability of soil organic carbon among forest ecosystems. …”
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Support for the intermittent upwelling hypothesis using 10 years of barnacle recruitment data from a western ocean boundary in Atlantic Canada by Ricardo A. Scrosati, Julius A. Ellrich

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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

“…This has important implications for the use of structured questionnaires for the collection of data on sexual behaviour and adherence. …”
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pycastx: A Python library for lightweight data encryption in IoT using ECC and metaheuristics based high-entropy keys and dynamic S-Box by Salman Ali, Md Asdaque Hussain, Faisal Anwer, Ahwar Khan, Mohd Irfan Alam

“…The Internet of Things (IoT) has a wide range of applications that will have a significant impact on several different industries. …”
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From GNSS Zenith Tropospheric Delay to Precipitable Water Vapor: Accuracy Assessment Using In-Situ and Reanalysis Meteorological Data Over China by Haoyu Wang, Fei Yang, Junxi Zheng, Zhuangzhuang Wang, Weicong Chen, Jia Xie

“…Moreover, the accuracy of PWV conversion using different types of reanalysis data has also been evaluated, especially the performance of CRA40 data, which has been assessed for the first time to the best of the authors&#x2019; knowledge. …”
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Effects of azithromycin in young adults with cystic fibrosis: a protocol for emulating a published randomised controlled trial using registry data by Bin Huang, Rhonda Szczesniak, Lutz Naehrlich, Freddy Frost, Gwyneth Davies, Sanja Stanojevic, Susan Charman, Nicole Mayer-Hamblett, Emily Granger, Alex Gifford, Josh Ostrenga, Jonathan Todd, Susan Christine Charman, Elizabeth Cromwell, Nicole Mayer Hamblett, Ruth Keogh, Josh Osttrenga

“…Results obtained in the emulated trials using registry data will be compared with those from the target trial.Ethics and dissemination Ethical approval has been granted by the London School of Hygiene and Tropical Medicine Ethics Committee (Ref: 29609). …”
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Soft computing applications in asphalt pavement: A comprehensive review of data-driven techniques using response surface methodology and machine learning by Nura Shehu Aliyu Yaro, Muslich Hartadi Sutanto, Mohd Rosli Hainin, Noor Zainab Habib, Aliyu Usman, Muhammad Sani Bello, Surajo Abubakar Wada, Abiola Usman Adebanjo, Ahmad Hussaini Jagaba

“…The study shows that the topic has a global presence, with notable contributions from Asia, North America, Europe, and other continents. …”
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Deep learning-based underwater metal object detection using input image data and corrosion protection of mild steel used in underwater study: A case study: Part B: Corrosion protec... by Thankappan Sasilatha, Doss Hebciba Mary Suvakeen Amala, Rajendran Susai Santhammal, Časlav Lačnjevac, Gurmeet Singh

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Data-driven approach to mid-latitude coherent scatter radar data classification by Berngardt Oleg

“…A self-consistent, data-driven approach to classifying data obtained at the ISTP SB RAS mid-latitude coherent scatter radars has been developed. …”
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An Improved Prediction of Indian Summer Monsoon Onset From State‐of‐the‐Art Dynamic Model Using Physics‐Guided Data‐Driven Approach by A. S. Sahana, Subimal Ghosh

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A Damage Detection Approach in the Era of Industry 4.0 Using the Relationship between Circular Economy, Data Mining, and Artificial Intelligence by Meisam Gordan, Saeed-Reza Sabbagh-Yazdi, Khaled Ghaedi, Zubaidah Ismail

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Automated detection of craters on the lunar surface using deep learning: A review with insights from Chandrayaan-2 TMC-2 data by Mimansa Sinha, Sanchita Paul

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Modelling hospital operations: insight from using data from paper registries in the obstetrics ward at a hospital in Addis Ababa, Ethiopia by Benjamin Bigelow, Dawit N Desalegn, Joshua A Salomon, Stéphane Verguet

“…In this paper, we used data collected from paper registries in an Ethiopian obstetrics ward at Addis Ababa’s Tikur Anbessa Specialized Hospital, Ethiopia’s largest university hospital, to model the ward’s operations. …”
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Lessons Learned From European Health Data Projects With Cancer Use Cases: Implementation of Health Standards and Internet of Things Semantic Interoperability by Amelie Gyrard, Somayeh Abedian, Philip Gribbon, George Manias, Rick van Nuland, Kurt Zatloukal, Irina Emilia Nicolae, Gabriel Danciu, Septimiu Nechifor, Luis Marti-Bonmati, Pedro Mallol, Stefano Dalmiani, Serge Autexier, Mario Jendrossek, Ioannis Avramidis, Eva Garcia Alvarez, Petr Holub, Ignacio Blanquer, Anna Boden, Rada Hussein

“… The adoption of the European Health Data Space (EHDS) regulation has made integrating health data critical for both primary and secondary applications. …”
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Assessing long-term effectiveness and cost-effectiveness of statin therapy in the UK: a modelling study using individual participant data sets by Borislava Mihaylova, Runguo Wu, Junwen Zhou, Claire Williams, Iryna Schlackow, Jonathan Emberson, Christina Reith, Anthony Keech, John Robson, Richard Parnell, Jane Armitage, Alastair Gray, John Simes, Colin Baigent

“…Future work Cholesterol Treatment Trialists’ Collaboration has ongoing studies of effects of statin therapy using individual participant data from randomised statin trials. …”
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Comparison Of Facies Estimation Using Support Vector Machine (SVM) And K-Nearest Neighbor (KNN) Algorithm Based on Well Log Data by Urip Nurwijayanto Prabowo*, Akmal Ferdiyan, Sukmaji Anom Raharjo, Sehah Sehah, Arya Dwi Candra

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The Al-Abiadh Valley Drainage Basin Environmental Aspects Extraction Using Quantitatively Morphometric Analyses of Shuttle Radar Topographic Mission Data by Jawad et al.

“…This work was divided into three stages; the 1st stage was delineation of the Al-Abiadh basin borders using a new approach that depends on three-dimensional modeling of the studied region and a drainage network pattern extraction using (Shuttle Radar Topographic Mission) data, the 2nd was the classification of the Al-Abiadh basin streams according to their shape and widenings, and the 3rd was extracting then taking up the quantitative analysis technique to estimate the basin morphometric aspects and the basin's environmental parameters that created them.          …”
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