Innovative approaches in marketing for the development of the tourism industry by Yuliia Stasiuk, Andrii Kobchenko

“…One of the most significant innovations in tourism marketing is the integration of digital technologies. The use of big data analytics, artificial intelligence, and machine learning allows tourism businesses to gain deep insights into customer preferences and behaviors. …”
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Budget Impact Analysis of Treatment Flow Optimization in Epilepsy Patients: Estimating Potential Impacts with Increased Referral Rate to Specialized Care by Masaki Iwasaki, Takashi Saito, Akiko Tsubota, Tatsunori Murata, Yuta Fukuoka, Kazutaka Jin

“…Therefore, further research with reliable data such as big data analysis or a national survey with real-world treatment patterns is needed.…”
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Mechanisms of corporate digital transformation on asymmetric capital structure adjustment—the mediating role of information asymmetry and financial stability by Jin Li, Zijian Li

“…Among various digital technologies, big data exhibits the most pronounced effect on increasing adjustment speed, with an interaction coefficient of −0.0250 (p < 0.01). …”
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Deriving the impact mechanism of urban green space environment on community social capital based on multi-source data integration: a case study of nanjing city, China by Feng Zhen, Mohan Liu, Runlin Yang

“…In light of this, the present study is based on the data of 1,282 residents’ questionnaire surveys conducted in Nanjing in 2022 and extracts spatial characteristic information of green space through multisource big data such as remote sensing data, street-view data, and points of interest, to investigate the influence mechanism of physical and perceived attributes of urban green space on community social capital. …”
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Understanding Sofia’s travel dynamics: Study of private traffic patterns and urban mobility by Lidia Lazarova Vitanova, Evgeny Shirinyan, Tereza Trendafilova, Dessislava Petrova-Antonova

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Smart Filter Performance Monitoring System by Chenxing Pei, Weiqi Chen, Qisheng Ou, David Y. H. Pui

“…Filter or air-cleaning device manufacturers can improve their products or recommend suitable products to their customers based on big data contributed by this filter monitoring system.…”
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Digital pathways to healthcare: a systematic review for unveiling the trends and insights in online health information-seeking behavior by Yang Fu, Yang Fu, Ping Han, Jian Wang, Fakhar Shahzad

“…Second, the convergence trend with emerging information technologies such as big data, artificial intelligence, and social media is changing user behavior and how people search for health information. …”
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Bio-primed machine learning to enhance discovery of relevant biomarkers by David M. Henke, Alexander Renwick, Joseph R. Zoeller, Jitendra K. Meena, Nicholas J. Neill, Elizabeth A. Bowling, Kristen L. Meerbrey, Thomas F. Westbrook, Lukas M. Simon

“…Traditional statistical methods often fall short in this context, necessitating novel computational approaches that harness the full potential of big data in bioinformatics. Here, we introduce a novel machine learning approach extending the Least Absolute Shrinkage and Selection Operator (LASSO) regression framework to incorporate biological knowledge, such as protein-protein interaction databases, into the regularization process. …”
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Long-term Air Pollution Exposure Impact on COVID-19 Morbidity in China by Yihan Wu, Qingming Zhan, Qunshan Zhao

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The theoretical cognition and research paradigm of land system science by LONG Hualou, CHEN Kunqiu, ZHENG Yuhan, ZHANG Yingnan

“…The research paradigm of land system science has gradually transformed from knowledge and phenomenon description to the simulation and prediction of complex land systems, which emphasizes the integration of multidisciplinary theories and methods as well as understanding the local-distant coupled interactions of land systems based on the integrated multiscale analysis of expanding boundaries, and focuses on the construction of large-scale quantitative land system models to provide comprehensive and dynamic integrated analysis, prediction and simulation of its dynamic mechanisms, integrated effects and future scenarios and risks, and appeals for an opening scientific collaboration in the era of big data.…”
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Review of privacy computing techniques for multi-party data fusion analysis by LIU Shenglong, HUANG Xiuli, JIANG Yiwen, JIANG Jiawei, TIAN Yuechi, ZHOU Zejun, NIU Ben

“…In the data era, threats to personal privacy information in ubiquitous sharing environments are widespread, such as apps frequently collecting personal information beyond scope, and big data-enabled price discrimination against frequent customers. …”
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Schizophrenia recognition based on three-dimensional adaptive graph convolutional neural network by Guimei Yin, Jie Yuan, Yanjun Chen, Guangxing Guo, Dongli Shi, Lin Wang, Zilong Zhao, Yanli Zhao, Manjie Zhang, Yuan Dong, Bin Wang, Shuping Tan

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Journey across extrinsic tactics for power improvements of triboelectric energy harvesting beyond intrinsic materials and device structures: A concise review by Ahmed Mahfuz Tamim, Yebin Lee, Jung Hwan Park, Geon-Tae Hwang, Chang Kyu Jeong

“…The swift evolution of technologies like the Internet of Things (IoT), artificial intelligence (AI), and big data has created an unparalleled need for self-powered sensors and devices. …”
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A dataset from the Cryptogamia-Lichenes section of the Herbarium Universitatis Taurinensis (TO) by Rosanna Piervittori, Deborah Isocrono, Enrica Matteucci, Mariagrazia Morando, Luca Dessì, Laura Guglielmone, Heimo Rainer, Stefano Martellos, Andrea Moro, Pier Luigi Nimis, Matteo Conti, Sergio Enrico Favero-Longo

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Artificial intelligence in dentistry—A review by Hao Ding, Jiamin Wu, Wuyuan Zhao, Jukka P. Matinlinna, Jukka P. Matinlinna, Michael F. Burrow, James K. H. Tsoi

“…Owing to the rapid development of three cornerstones of current AI technology—big data (coming through digital devices), computational power, and AI algorithm—in the past two decades, AI applications have started to provide convenience to people's lives. …”
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An optimized data analytics pipeline for improving healthcare diagnosis using ensemble learning by Lomat Haider Chowdhury, Shaira Tabassum, Swakkhar Shatabda, Ashir Ahmed

“…However, the cost of healthcare diagnosis makes people indifferent to going through the process. Big data and machine learning are already in use to contribute to the healthcare diagnosis sector with the available data which is enormously growing through the digitalization of the system. …”
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Models for predicting risk of endometrial cancer: a systematic review by Bea Harris Forder, Anastasia Ardasheva, Karyna Atha, Hannah Nentwich, Roxanna Abhari, Christiana Kartsonaki

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Pulmonary Nuclear protein in Testis (NUT) carcinoma: clinical, molecular characteristics, and treatment strategies by Jingjing Qu, Zhen Chen, Yanping Zhu, JinYan Huang, Qian Shen

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Clinical symptoms and functional impairment in attention deficit hyperactivity disorder (ADHD) co-morbid tic disorder (TD) patients: a cluster-based investigation by Zhongliang Jiang, Hui Xu, Anyi Zhang, Liping Yu, Xianbin Wang, Wenyan Zhang, Yonghua Cui, Ying Li

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Modifiable factors for irritable bowel syndrome: evidence from Mendelian randomisation approach by Jinling Tang, Zhirong Yang, Shanshan Wu, Feng Sha, Tengfei Lin, Di Liu, Meiling Cao, Yiwen Jiang, Weijie Cao, Fuxiao Li

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