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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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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Predicting potential suitable habitat of Cistanche deserticola by integrating parasitic constraints and land use data into MaxEnt modeling by Gong-Han Tu, Xu-Dong Guo, Shao-Yang Xi, Xiao-Hui Ma, Ling Jin

“…This study proposes a two-dimensional modeling framework that integrates parasitic constraints and land use dynamics to predict the potential suitable habitat of Cistanche deserticola, a medicinal plant obligately parasitic on Haloxylon ammodendron.MethodsUsing an optimized MaxEnt model, host suitability probability was incorporated as a continuous probabilistic constraint, and high-resolution land use data were coupled to enhance ecological realism. …”
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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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Digital interaction and active aging: the impact of social media use on physical activity behavior mediated by social capital and self-efficacy by Jian Liu, Chaoxin Wang, Zhanpeng Meng, Chuanwen Yu

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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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Data-Driven R&D&I Management for Societal Impacts: Introduction and Application of AgroRadarEval by Daniela Maciel, Adriana Bin, Marie Ferré, James A Turner, Geraldo Stachetti Rodrigues, María Magdalena Costa, Miguel Sierra Pereiro, Juan Mechelk, Aurelle de Romemont, Kevin Heaune

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Impact of Interacting Parameters on Dark Matter in an Interacting Dark Energy Model by Himanshu Chaudhary, Ritika Nagpal, S. K. J. Pacif, G. Mustafa

“…To examine the influence of the interaction parameter on dark matter, we use a combination of observational data sets, including cosmic chronometers, Type Ia supernovae, and baryon acoustic oscillation measurements from the Dark Energy Spectroscopic Instrument Year 1 and Sloan Digital Sky Survey IV. …”
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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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The use of big data and the internet of things leadership and organizational culture: The innovative capacity of the Amman Stock Exchange by Khaled Yousef Alshboul

“…The study method uses a quantitative approach that includes conducting a professional survey, conducting a statistical analysis, and testing mediation Key results show that the use of big data improves the ability to innovate largely, and affects employees’ practical leadership capabilities The interaction between Internet adoption and leadership capabilities is influenced by product capabilities, which emphasizes the important role of innovation as a mediator in shaping employee behavior emphasizing Practical results of this study show that Amman Stock Exchange companies strategically use big data and IoT technologies to promote innovation. …”
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The stakeholder game mechanisms in land use change of Caohai National Nature Reserve by Yin Su, Shenghai Liao, Jintong Ren

“…By integrating real data on land use changes, ecological quality indices, and economic incentives, this study identifies the driving forces behind stakeholder behavior and land use evolution from 2000 to 2020. …”
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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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Characterizing wind, wave, and Stokes drift interactions in the upper ocean during Typhoon Doksuri using the COAWST model by Yaoyao Han, Changsheng Zuo, Zhizu Wang, Yucui Wang, Chengchen Tao, Xu Zhang, Juncheng Zuo

“…The COAWST model is used in this study to simulate wind fields, wave fields, and Stokes drift during Typhoon Doksuri, aiming to reveal the dynamics of atmosphere-ocean-wave interactions under typhoon conditions. …”
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