Bring in the Sceptics: Using Science and Technology Studies in law by Sam Wrigley, Herwig C.H. Hofmann, Felix Pflücke

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The impact of weight matrices on parameter estimation and inference: A case study of binary response using land-use data by Yiyi Wang, Kara M. Kockelman, Xiaokun (Cara) Wang

“…These are applied in a binary choice setting using both simulated data and parcel-level land-use data. …”
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Computational aerodynamics of insect flight using volume penalization by Engels, Thomas, Truong, Hung, Farge, Marie, Kolomenskiy, Dmitry, Schneider, Kai

“…The role of flexible wings, data-driven modeling and fluid–structure interaction issues are likewise discussed.…”
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PRINCIPAL COMPONENT ANALYSIS-VECTOR AUTOREGRESSIVE INTEGRATED (PCA-VARI) MODEL USING DATA MINING APPROACH TO CLIMATE DATA IN THE WEST JAVA REGION by Devi Munandar, Budi Nurani Ruchjana, Atje Setiawan Abdullah

“…Over a long time, atmospheric changes have been caused by natural phenomena. This study uses the Principal Component Analysis (PCA) model combined with Vector Autoregressive Integrated (VARI) called the PCA-VARI model through the data mining approach. …”
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Assimilation of Sentinel‐Based Leaf Area Index for Modeling Surface‐Ground Water Interactions in Irrigation Districts by Nima Zafarmomen, Hosein Alizadeh, Mehrad Bayat, Majid Ehtiat, Hamid Moradkhani

“…These observations are assimilated into the SWAT‐MODFLOW model to accurately analyze the advantage of considering high‐resolution LAI data for SW‐GW modeling. We develop a data assimilation (DA) framework for SWAT‐MODFLOW model using the particle filter based on the sampling importance resampling (PF‐SIR). …”
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Stacked LSTM for Short-Term Wind Power Forecasting Using Multivariate Time Series Data by Manisha Galphade, V. B. Nikam, Biplab Banerjee, Arvind W. Kiwelekar, Priyanka Sharma

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Use of Optimised LSTM Neural Networks Pre-Trained With Synthetic Data to Estimate PV Generation by Miguel Martínez-Comesaña, Javier Martínez-Torres, Pablo Eguía-Oller, Javier López-Gómez

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Bayesian optimization of underground railway tunnels using a surrogate model by Hassan Liravi, Hoang-Giang Bui, Sakdirat Kaewunruen, Aires Colaço, Jelena Ninić

“…The surrogate model utilizes synthetic data generated using Latin hypercube sampling, significantly reducing the required dataset size while maintaining accuracy. …”
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Sentiment analysis and audience engagement in thehashtags #VcNoJL1 and #VcNoJL2 on Twitter (X): a casestudy of the TV Liberal newscast in Pará, Brazil by Alan Marcel Fernandes de Souza

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Pulsating population: the rhythmicity of municipalities in the Czech Republic based on mobile phone location data by Adam Stražovec, Martin Erlebach, Marián Halás

“…This paper aims to identify different types of daily and weekly municipality rhythms using data from the Czech Republic obtained with mobile phone location data. …”
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Addressing sparse data challenges in recommendation systems: A systematic review of rating estimation using sparse rating data and profile enrichment techniques by Thennakoon Mudiyanselage Anupama Udayangani Gunathilaka, Prabhashrini Dhanushika Manage, Jinglan Zhang, Yuefeng Li, Wayne Kelly

“…Despite extensive research in this area, there is a lack of comprehensive surveys that specifically explore estimation methods using sparse rating data and profile enrichment techniques focusing on overcoming challenges that occur due to sparsity such as reduced coverage, transparency, scalability, and accuracy. …”
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Using Adjoint-Based Forecast Sensitivity to Observation to Evaluate a Wind Profiler Data Assimilation Strategy and the Impact of Data on Short-Term Forecasts by Cheng Wang, Xiang-Yu Huang, Min Chen, Yaodeng Chen, Jiqin Zhong, Jian Yin

“…This study further applies the adjoint-based forecast sensitivity to observation (FSO) method to investigate the quantitative impact of a profiler data assimilation strategy on short-term forecasts, and the results are consistent with those obtained from OSEs, further demonstrating that FSO and OSEs can be used to evaluate the effect of data assimilation techniques from different perspectives. …”
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Transparency in the existence, use, and output of a mental health data resource: a descriptive paper from the National Institute for Health and Care Research (NIHR) Maudsley Biomedical Research Centre (BRC) Clinical Record Interactive Search (CRIS) Platform by Amelia Jewell, Matthew Broadbent, Claire Delaney-Pope, Megan Pritchard, Hannah Woods, Robert Stewart

“… Background Transparency in the use of routinely collected mental health data for research is essential in maintaining public support and trust, as well as for supporting the sharing of information and data resources amongst the academic community. …”
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Ideas of enterprise informationization based on user experience by Feng CHEN, Tongfei XIA, Dongshu YANG

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Enhancing GIS models for sustainable development in human settlements using intelligent IoT infrastructure and human-machine interaction by Mingxing Xu

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Determination of χ from liquid-liquid phase data in ternary polymer systems (solvent/polymer/polymer) with hydrogen bonding

“…The results have shown a fair agreement between the calculated and the literature values, at least when the model containing an empirical entropy correction is used. Moreover, the evaluated interaction parameters follow the expected behaviour as the content of the H-donor polymer in the mixture is raised and are also in good accordance with experimental viscometric data.…”
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A digital botanical garden: using interactive 3D models for visitor experience enhancement and collection management by Paula Redweik, Susana Reis, Maria Cristina Duarte

“…Its development included creating a spatial database to organise data originating from a variety of sources, the three-dimensional (3D) modelling of plants, buildings and statues, the creation of web pages with historic and contextual information, as well as the publication of a number of interactive 3D scenes. …”
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Advancing Water Quality Management: An Integrated Approach Using Ensemble Machine Learning and Real-Time Interactive Visualization by Jigna K. Pandya, Suresh S. Khandelwal, Rupesh Kumar Tipu, Kartik S. Pandya

“…Cross-validation results further confirmed the model’s robustness, with a mean accuracy of 96.9% and a low standard deviation. The interactive Water Quality Predictive Dashboard developed using the Dash framework, provides real-time predictions and visualizations, allowing stakeholders to input new data and receive immediate feedback on water potability. …”
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Unraveling high-order interactions in electrophysiological brain signals using elliptical distributions: moving beyond the Gaussian approximation by Rikkert Hindriks, Frank van der Meulen, Michel J A M van Putten, Prejaas Tewarie

“…Here, we introduce the elliptical approximation, which is accurate for Gaussian data and a large family of non-Gaussian data. To illustrate its use, we applied both approximations to EEG and MEG signals and found that the Gaussian approximation to the (dual) total correlation and O-information is quite accurate for physiological resting-state oscillations, but is highly inaccurate for EEG data recorded during an absence seizure. …”
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Examining Nonverbal Communication in Dyadic Interactions With Virtual Humans Using an Integrated Coding System: Mixed Methods Analysis by Analay Perez, Rae Sakakibara, Srikar Baireddy, Michael D Fetters, Timothy C Guetterman

“… Abstract BackgroundThe patient-physician dyad involves both verbal and nonverbal communication. Traditional methods use quantitative or qualitative coding when analyzing dyadic data of nonverbal communication. …”
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