Application of machine learning in diabetes prediction based on electronic health record data analysis by Yang Zihan

“…Th is research contributes to the development of machine learning in healthcare, specifically improving disease prediction models through advanced data analysis techniques.…”
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Exploring visitor perception of Asian historic districts through deep learning and social media data by Yinying Tao, Yifeng Jiang, Manshu Huang, Kai Zhou

“…The findings emphasize the need for a balanced approach between tourism development and historical authenticity preservation. …”
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Methods for mediation analysis with high-dimensional DNA methylation data: Possible choices and comparisons. by Dylan Clark-Boucher, Xiang Zhou, Jiacong Du, Yongmei Liu, Belinda L Needham, Jennifer A Smith, Bhramar Mukherjee

“…We compare seven methods for high-dimensional mediation analysis with continuous outcomes through both diverse simulations and analysis of DNAm data from a large multi-ethnic cohort in the United States, while providing an R package for their seamless implementation and adoption. …”
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Bridging the gap between R and Python in bulk transcriptomic data analysis with InMoose by Maximilien Colange, Guillaume Appé, Léa Meunier, Solène Weill, W. Evan Johnson, Akpéli Nordor, Abdelkader Behdenna

“…InMoose focuses on providing drop-in replacements for R tools, to ensure consistency and reproducibility between R-based and Python-based pipelines. The first development phase has focused on bulk transcriptomic data, with current capabilities encompassing data simulation, batch effect correction, and differential analysis and meta-analysis.…”
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Data collection and analysis of temperature field simulation of steam boiler for soil steam disinfection. by Sipu Pan

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A data envelopment analysis approach for evaluating high-speed freight transportation efficiency by Paulo Chenrrim, Susana Relvas

“…The methodology in this article is based on the use of Data Envelopment Analysis (DEA) through the BCC (Banker, Charnes, and Cooper) model and VRS (Variable Returns Scale) approach with an input orientation and the global Malmquist Productivity Index (MPI) to assess the efficiency of the freight transport option on high-speed networks, with the aim of contributing to more informed decision-making.The proposed methodology was applied to the Portuguese context. …”
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Data-driven analysis of hysteresis and stability in perovskite solar cells using machine learning by Sharun Parayil Shaji, Wolfgang Tress

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Data-driven demand analysis and design reliability study of critical components of complex products. by Zhan Meng, Zhenggang Wang, Dapeng Gao, Wei Lu

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The morphometry of soft tissue insertions on the tibial plateau: data acquisition and statistical shape analysis. by Liying Zheng, Christopher D Harner, Xudong Zhang

“…Generalized Procrustes Analysis was employed in conjunction with Principal Components Analysis to first create a geometric consensus based on tibial cartilage and then determine the means and variations of insertion morphometrics including shape, size, location, and inter-relationship measures. …”
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Reliability Analysis of Improved Type-II Adaptive Progressively Inverse XLindley Censored Data by Refah Alotaibi, Mazen Nassar, Ahmed Elshahhat

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Topology for gaze analyses - Raw data segmentation by Oliver Hein, Wolfgang H. Zangemeister

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Deep‐NCA: A deep learning methodology for performing noncompartmental analysis of pharmacokinetic data by Gengbo Liu, Logan Brooks, John Canty, Dan Lu, Jin Y. Jin, James Lu

“…Abstract Noncompartmental analysis (NCA) is a model‐independent approach for assessing pharmacokinetics (PKs). …”
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Research on management mode of talent team in E-government based on big data analysis by Shixuan Hao

“…With the rapid development of big data technology, higher requirements have been put forward for the management mode of talent teams in e-government management. …”
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On the Sino-Egyptian Geo-Relations in the Perspective of the Belt and Road——Based on Event Data Analysis by Mo Bi, Zhenke Zhang, Guoen Wei, Binglin Liu

“…This paper attempted to explore the evolution process and driving mechanism of Sino-Egyptian geo-relations during 2000–2021 based on event data analysis to explore the path of future development. …”
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Data-driven analysis of climate impact on tomato and apple prices using machine learning by Sunghyun Yoon, Tae-Hwa Kim, Dong Sub Kim

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Sentiment Analysis Algorithm Based on Deep Transfer Learning for Multi-Source Data Fusion by Long Qin

“…The cross entropy loss and Matthews correlation coefficient confirm the reliability of this method for sentiment orientation recognition in multi-source data. The research explores the use of deep transfer learning in multi-source data fusion sentiment analysis, enriches and improves sentiment analysis techniques, and promotes innovation and development of sentiment analysis technology.…”
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Assessing Efficiency of the European Banking Sectors: an Application of the Network DEA by Emília Zimková, Ľubomír Pintér

“…The global financial crisis, sovereign debt crisis, Covid-19, and the invasion in Ukraine highlighted the need to optimise the production processes in banking sectors in Europe. Data Development Analysis (DEA) is a method used to evaluate the efficiency of production units and to benchmark them. …”
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Tourism revenues and economic growth: a panel data analysis of Mediterranean coastal countries by Emre Tankuş, İlker Öztürk, Utku Altunöz, Selahattin Koç, Alptekin Sökmen

“…Purpose – This study examines the impact of tourism revenues on economic growth in Mediterranean coastal countries from 2000 to 2022 using panel data methodology. By encompassing various economic cycles and significant global events, this research provides a comprehensive analysis of both short-term and long-term effects of tourism receipts on GDP. …”
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Lavender hydrosol analysis using UV spectroscopy data and partial least squares regression by Sára Preiner, Bálint Levente Tarcsay, Dóra Pethő, Norbert Miskolczi

“…The model can thus be utilized as a soft sensor to infer extracted mass of EO components and characterize the composition of hydrosol during the process directly from UV–Vis spectra. • Investigation of lavender water and extract using UV–Vis spectrophotometry • GC–MS analysis of extracts • PLS model development for composition estimation based on spectra…”
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Panel Data Model Analysis on the Relationship Between Export and Employment: The Case of OECD Countries by Hande Aksöz Yılmaz

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