Analysis of medication rule of Traditional Chinese Medicine in treating depression based on data mining by Jin Yang, Shuai Wang, Zhen Zhang, Junjie Huang, Weihai Chen, Zhan Xu

“…This study aims to explore the medication pattern of Traditional Chinese Medicine (TCM) treatment for depression through data mining methods, so as to provide scientific theoretical basis and reference for clinical treatment and new prescription development. …”
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The impact of big data analytics on digital marketing decision-making: A comprehensive analysis by Roberta Bajrami, Adelina Gashi, Kaltrina Bajraktari, Etleva Namligjiu

“…Type of the article: Research Article AbstractThe fast development of data availability has altered digital marketing, establishing big data analytics as a vital tool for optimizing decision-making and enhancing campaign performance. …”
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SQUiD: ultra-secure storage and analysis of genetic data for the advancement of precision medicine by Jacob Blindenbach, Jiayi Kang, Seungwan Hong, Caline Karam, Thomas Lehner, Gamze Gürsoy

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Service impact analysis and visualization display based on massive real-time monitoring data by Junwen LIU, Shuo CUI, Xiaomeng LI, Zhihong LI, Yang LI

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Enhancing data security and protection in marketing: a comparative analysis of Golang and PHP approaches by ROBU Elena

“…This paper presents a comparative analysis of two prominent backend technologies, Golang and PHP, in the context of data security and protection in marketing applications. …”
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Outcrop-Scale Hydraulic Fracturing Experiments with a Coagulable Resin and Data Analysis Results by Tsutau Takeuchi, Akira Fujimoto, Ryohei Inoue, Tsuyoshi Ishida, Takashi Danjo, Tatsuya Yokoyama, Hirokazu Fujii

“…Additionally, we compared the stress direction estimated from failure mechanism analysis using AE data with the maximum stress direction estimated from hydraulic fracturing. …”
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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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Development and Validation of an Interpretable Machine Learning Model for Predicting Tic Disorders and Severity in Children Based on Electroencephalogram Data by Wanting Xiang, Gang Zhu, Yichong Hou, Zhandong Mei, Lin Wan, Li Zhang, Guang Yang, Jian Zu

“…A two-stage progressive diagnosis framework based on EEG data and machine learning methods was developed. …”
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The Influence of Digital Talent Development and Green Innovation and The Use of Green Innovation As Mediation To Measure Data Centre Performance by Rifa Herdian, Mohammad Syamsul Maarif, Anggraini Sukmawati, Irman Hermandi

“…Purpose: The purpose of this study is to examine how data center performance is impacted by green innovation and digital talent development. …”
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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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Parametric Estimation and Analysis of Lifetime Models with Competing Risks Under Middle-Censored Data by Shan Liang, Wenhao Gui

“…A simulation study is carried out to assess the performance of all proposed estimators. Lastly, an analysis for a practical dataset is provided to demonstrate the inferential processes developed.…”
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Integrating Genetic Programming with Dimensional Analysis and Data-Splitting for Heat Transfer Estimation of Nanofluids by Kazuki Fukushima, Koki Yagihara, Alexander Guzman-Urbina, Hajime Ohno, Yasuhiro Fukushima

“…This paper proposes an integrated approach of genetic programming, dimension analysis, and data splitting to build simpler equations for the heat transfer of nanofluids. …”
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On Data Envelopment Analysis Framework for Optimizing Two-Stage Systems Under Neutrosophic Environment by Basma E. El- Demerdash, A. Almutairi, Sultan S. Alodhaibi, Hamiden Abd El- Wahed Khalifa, Heba Ghareb Goma

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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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Mathematical Modeling and Analysis of COVID-19 Infection: Application to the Kingdom of Saudi Arabia Data by Ebraheem Alzahrani, Muhammad Altaf Khan

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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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Analysis of current situation and perspective of digital preservation in the Social Science Data Archives (ADP) by Janez Štebe, Irena Vipavc Brvar

“…Examples are taken from partner organizations within the CESSDA data archives association. These organizations (especially those from the USA, Great Britain and the Netherlands) have developed solutions in the field of digital preservation to the highest degree. …”
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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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Designing a Multi-Modal Vehicle Data Capture System for Forensic Accident Analysis by Wibowo Helmi, Pranoto Ethys, Humami Faris, Pratama Yoga

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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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