An analysis approach for high-field fMRI data from awake non-human primates. by Steffen Stoewer, Jozien Goense, Georgios A Keliris, Andreas Bartels, Nikos K Logothetis, John Duncan, Natasha Sigala

“…We demonstrate an approach that allows us to address some of these issues consisting of the following steps: 1) Trial-based experimental design. 2) Careful control of subject movement. 3) Computer-assisted selection of trials devoid of artefacts and animal motion. 4) Nonrigid between-trial and rigid within-trial realignment of concatenated data from temporally separated trials and sessions. 5) Linear interpolation of inter-trial intervals and high-pass filtering of temporally continuous data 6) Removal of interpolated data and reconcatenation of datasets before statistical analysis with SPM. …”
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Multivariate Analysis for Overcoming Complexities of Corporate Governance and Managerial Dilemma Using Data Mining Techniques by Jyotsna Ghildiyal Bijalwan, Anchit Bijalwan

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Comparative and Interpretative Analysis of CNN and Transformer Models in Predicting Wildfire Spread Using Remote Sensing Data by Yihang Zhou, Ruige Kong, Zhengsen Xu, Linlin Xu, Sibo Cheng

“…Abstract Facing the escalating threat of global wildfires, numerous computer vision techniques using remote sensing data have been applied in this area. …”
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A study on the new logarithmic-G family with statistical properties, simulations, and different data analysis by Aijaz Ahmad, Afaq Ahmad, Yusra A. Tashkandy, M. E. Bakr, Getachew Tekle Mekiso, Oluwafemi Samson Balogun, Ahmed M. Gemeay

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Pseudo-Labeling and Time-Series Data Analysis Model for Device Status Diagnostics in Smart Agriculture by Minwoo Jung, Dae-Young Kim

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Measuring countries relative efficiencies in using development assistance: a data envelopment analysis approach by Mohamed F. Sakr, Kamal Samy Selim, Sherin Gamaleldin Taha

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Genetic Analysis of Days Open in Moroccan Holstein Using Different Models to Account for Censored Data by Narjice Chafai, Bouabid Badaoui

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Fault analysis of railway track superstructure using time-frequency method from vibrational data by Shahzor Memon, Imtiaz Hussain, Lubna Moin

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Earthquake Prediction and Alert System Using IoT Infrastructure and Cloud-Based Environmental Data Analysis by Cosmina-Mihaela Rosca, Adrian Stancu

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Topological data analysis and machine learning for COVID-19 detection in CT scan lung images by Rabih Assaf, Abbas Rammal, Alban Goupil, Mohammad Kacim, Valeriu Vrabie

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Urban agglomeration transportation resilience: evaluation and evolution analysis using a data-driven model by Zihao Guo, Xuanling Zhou, Cong Lu, Shixin Li, Yunlong Zhu, Yinhang Liu, Zhijian Li

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Conservative Treatment of Sesamoiditis: A Systematic Literature Review with Individual-Level Pooled Data Analysis by Carlo Biz, Maria Chiara Maccarone, Valentina Bonso, Elisa Belluzzi, Stefano Masiero, Nicola Luigi Bragazzi, Pietro Ruggieri

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Computational insights into the anti-diabetic potential of Albizia antunesiana (Mimosaceae) metabolites: A molecular docking, drug-likeness and ADMET analysis by Bitwell Chibuye, Indra Sen Singh, Luke Chimuka, Mokgaetji Monyai, Maseka Kenneth Kakoma

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Crop pangenomes by A. Yu. Pronozin, M. K. Bragina, E. A. Salina

“…Pangenome structural features, methods and programs for bioinformatic analysis of pangenomic data are described.…”
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Deep learning-based classification of hemiplegia and diplegia in cerebral palsy using postural control analysis by Javiera T. Arias Valdivia, Valeska Gatica Rojas, César A. Astudillo

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Unpacking Youth Privacy Management in AI Systems: A Privacy Calculus Model Analysis by Austin Shouli, Ankur Barthwal, Molly Campbell, Ajay Kumar Shrestha

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Analisis Kepuasan Pengguna Aplikasi Sidawai Menggunakan End User Computing Statisfaction (EUCS) DAn Importance Performance Analysis (IPA) by Kiki Haerani, Khairul Imtihan, Wafiah Murniati

“…Untuk mengetahui jarak kesenjangan antara harapan dan kinerja, serta mengukur kepuasan pengguna pada Aplikasi SIDAWAI dengan metode IPA (Importance Performance Analysis) berdasarkan hasil dari pengolahan data kuesioner dari model End-User Computing Statisfanction (EUCS). …”
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Insights into gender-equity in healthcare accessibility in northern Nigeria: descriptive and predictive approaches by Chika Yinka-Banjo, Olasupo Ajayi, Mary Akinyemi, David Tresner-Kirsch, Adekemi Omotubora

“…Descriptive analysis (using Pearson’s and Spearman’s correlation) and predictive analysis (using CATBoost, Random Forest, and Support Vector Machine) were done on the data. …”
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An Online Tool for Correcting Performance Measures of Electronic Phenotyping Algorithms for Verification Bias by Ajay Bhasin, Sue Bielinski, Abel N. Kho, Nicholas Larson, Laura J. Rasmussen-Torvik

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Efficient unpaired data validation and aggregation protocol in industrial Internet of things by MA Rong, FENG Tao

“…Finally, performance analysis conducted using MIRACL reveals that the EUVA protocol outperforms previous similar mechanisms in terms of computational communication costs and energy consumption.…”
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