A comprehensive framework for trans-ancestry pathway analysis using GWAS summary data from diverse populations. by Sheng Fu, William Wheeler, Xiaoyu Wang, Xing Hua, Devika Godbole, Jubao Duan, Bin Zhu, Lu Deng, Fei Qin, Haoyu Zhang, Jianxin Shi, Kai Yu

“…As more multi-ancestry GWAS summary data become available, we have developed a comprehensive trans-ancestry pathway analysis framework that effectively utilizes this diverse genetic information. …”
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Analysis Of Bread Demand Forecasting Using Recurrent Neural Network (RNN) Method Based On Operational Delivery Data by Harinudin Saputro, Mohammad Zoqi Sarwani, Rudi Hariyanto

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A Robust Multivariate Time Series Classification Approach Based on Topological Data Analysis for Channel Fault Tolerance by Seong-Yeon Jeung, Jang-Woo Kwon

“…To address this issue, this study introduces topological data analysis (TDA) to develop a robust AI model. …”
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Simulation, Modeling, and Analysis of Soliton Waves Interaction and Propagation in CNN Transmission Lines for Innovative Data Communication and Processing by G. Borgese, S. Vena, P. Pantano, C. Pace, E. Bilotta

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Statistical Analysis of Comet Disconnection Events Using STEREO HI and a Data-assimilative Solar Wind Model by Sarah Watson, Chris Scott, Mathew Owens, Luke Barnard, Matthew Lang

“…In this study, we investigate comet tail disconnection events observed in the STEREO HI data during the period of 2007–2023. Using the Heliospheric Upwind eXtrapolation model with a time-dependency (HUXt) solar wind model alongside novel solar wind data assimilation (DA) techniques, each disconnection event was investigated to determine its cause. …”
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Big data analysis on flow characteristics according to welded penetration locations for fire sprinkler piping system design by Joo Hyun Moon, Jae Heon Gu, Dong Kyu Kim, In Woo Jang

“…This study presents a big data-driven computational fluid dynamics (CFD) analysis of Tee‐type fire sprinkler pipelines, focusing on how different weld penetration depths affect flow behavior and overall system performance. …”
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Spectra of light absorption by phytoplankton pigments in the Baltic; conclusions to be drawn from a Gaussian analysis of empirical data by Dariusz Ficek, S³awomir Kaczmarek, Joanna Stoñ-Egiert, Bogdan Wo¼niak, Roman Majchrowski, Jerzy Dera

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Data-Driven Sensitivity Analysis of the Influence of Geometric Parameterized Variables on Flow Fields Under Different Design Spaces by Xiaoyu Xu, Hongbo Chen, Chenliang Zhang, Yanhui Duan, Guangxue Wang

“…This paper utilizes flow field data from computational fluid dynamics (CFD) to develop a data-driven approach for analyzing the influence of geometric parameterized variables on the objective function and flow field across various design spaces. …”
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Predicting Early Employability of Vietnamese Graduates: Insights from Data-Driven Analysis Through Machine Learning Methods by Long-Sheng Chen, Thao-Trang Huynh-Cam, Van-Canh Nguyen, Tzu-Chuen Lu, Dang-Khoa Le-Huynh

“…By leveraging predictive analytics, the research explores how data-driven approaches can enhance career readiness strategies. …”
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Unveiling microbial communities with EasyAmplicon: A user‐centric guide to perform amplicon sequencing data analysis by Salsabeel Yousuf, Hao Luo, Meiyin Zeng, Lei Chen, Tengfei Ma, Xiaofang Li, Maosheng Zheng, Xin Zhou, Liang Chen, Jiao Xi, Hongye Lu, Huiluo Cao, Xiaoya Ma, Bian Bian, Pengfan Zhang, Jiqiu Wu, Renyou Gan, Baolei Jia, Linyang Sun, Zhicheng Ju, Yunyun Gao, Waqar Afzal Malik, Chuang Ma, Hujie Lyu, Yahui Li, Huiyu Hou, Yuanping Zhou, Defeng Bai, Yao Wang, Haifei Yang, Jiani Xun, Shengda Du, Tianyuan Zhang, Xiulin Wan, Kai Peng, Shanshan Xu, Tao Wen, Tong Chen, Yong‐Xin Liu

“…To further facilitate the researchers and enhance usability, we present a detailed protocol with a video recording that guides users through each step of the pipeline, including data preprocessing (quality filtering, chimera removal), amplicon sequence variant analysis, diversity analysis, and data visualization. …”
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Big Data-Driven 3D Visualization Analysis System for Promoting Regional-Scale Digital Geological Exploration by Yiping Tian, Jiongqi Wu, Genshen Chen, Gang Liu, Xialin Zhang

“…This study develops a big data-driven 3D visual analysis system for regional-scale applications. …”
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Time-domain thermoreflectance technique using multiple delayed probe pulses for high-throughput data acquisition and analysis by Hiroto Arima, Yuichiro Yamashita, Takashi Yagi

“…Furthermore, we applied machine learning-based analysis and demonstrated the ability to determine thermophysical properties from measurement data consisting of only a few delay points. …”
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Local structure of solid and liquid gold probed by reverse Monte Carlo analysis of X-ray absorption data by Nodoka Hara, Fabio Iesari, Toshihiro Okajima, Andrea Di Cicco

“…The increase in computational capabilities of modern computers has allowed us to develop new accurate methods for EXAFS (extended X-ray absorption fine structure) data-analysis. …”
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Optical Neuroimage Studio (OptiNiSt): Intuitive, scalable, extendable framework for optical neuroimage data analysis. by Yukako Yamane, Yuzhe Li, Keita Matsumoto, Ryota Kanai, Miles Desforges, Carlos Enrique Gutierrez, Kenji Doya

“…To address these challenges, we developed Optical Neuroimage Studio (OptiNiSt), a scalable, extendable, and reproducible framework for creating calcium data analysis pipelines. …”
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Patient pathways of tuberculosis care-seeking and treatment: an individual-level analysis of National Health Insurance data in Taiwan by Simon Dixon, Chien-Chou Chen, Chu-Chang Ku, Hsien Ho Lin, Peter J Dodd

“…Introduction Patients with tuberculosis (TB) often experience difficulties in accessing diagnosis and treatment. Patient pathway analysis identifies mismatches between TB patient care-seeking patterns and service coverage, but to date, studies have only employed cross-sectional aggregate data.Methods We developed an algorithmic approach to analyse and interpret patient-level routine data on healthcare use and to construct patients’ pathways from initial care-seeking to treatment outcome. …”
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Multicenter comparative analysis of local and aggregated data training strategies in COVID-19 outcome prediction with Machine learning. by Carine Savalli, Roberta Moreira Wichmann, Fabiano Barcellos Filho, Fernando Timoteo Fernandes, Alexandre Dias Porto Chiavegatto Filho, IACOV-BR Network

“…Machine learning (ML) is a promising tool in assisting clinical decision-making for improving diagnosis and prognosis, especially in developing regions. It is often used with large samples, aggregating data from different regions and hospitals. …”
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Organizations` Responsibility in Maintaining the Security of Personal Data posted Online by Romanian Consumers: an Exploratory Analysis of Facebook and Linkedin by Andreea Ionescu, Laurenţiu-Dan Anghel, Gheorghe Jinga

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Characterizing Extreme Geomagnetic Storms Using Extreme Value Analysis: A Discussion on the Representativeness of Short Data Sets by G. Bernoux, V. Maget

“…To do so, dedicated statistical methods from the so‐called extreme value analysis (EVA) field have been developed. In this study we used Ca index, derived from aa, in order to characterize geoeffectiveness from the radiation belts point of view with a 150‐year‐long data set. …”
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A refined set of RxNorm drug names for enhancing unstructured data analysis in drug safety surveillance by Wenjing Guo, Fan Dong, Jie Liu, Aasma Aslam, Tucker A. Patterson, Huixiao Hong

“…To address this, we evaluated the drug names in RxNorm for their suitability in unstructured data analysis and developed a refined set of drug names. …”
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Association of Acute Rejection and De Novo Renal Cell Carcinoma in Kidney Transplant Patients: An OPTN Data Analysis by Molly E. Casey, Emmalie Yanacek, Hitesh Kaul, John P. Knorr, Kamran Khanmoradi, Afshin Parsikia, Nikolaos Chandolias, Kevin K. Zarrabi, Radi Zaki

“…A multivariate regression analysis of the data was conducted. <b>Results:</b> In a total of 215,928 kidney transplant recipients, we identified 839 cases of RCC (0.39%). …”
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