Application of novel security technique in cloud environment using attribute dependent authentication for health care by D. Deena Rose, C. Agees Kumar

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Digitally twin driven ship cooling pump fault monitoring system and application case by Shaojuan Su, Zhe Miao, Yong Zhao, Nanzhe Song

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Intelligent Gas Sensors for Food Safety and Quality Monitoring: Advances, Applications, and Future Directions by Heera Jayan, Ruiyun Zhou, Chanjun Sun, Chen Wang, Limei Yin, Xiaobo Zou, Zhiming Guo

“…The advancement of new nanomaterials and their integration with advanced data acquisition techniques is expected to enhance the performance and utility of sensors in sustainable practices within the food supply chain.…”
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Design and Implementation of a Responsive E-Commerce Web Application for Teras Thrifting Store by Riska Fitri Ulfiana, Muhammad Najib Dwi Satria S.Kom., MT.

“…These approaches tend to be inefficient and prone to errors in recording customer and sales data. To address these challenges, this study focuses on the design and implementation of a responsive e-commerce web application aimed at improving transaction efficiency and the management of product and customer data. …”
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A systematic mapping to investigate the application of machine learning techniques in requirement engineering activities by Shoaib Hassan, Qianmu Li, Khursheed Aurangzeb, Affan Yasin, Javed Ali Khan, Muhammad Shahid Anwar

“…Abstract Over the past few years, the application and usage of Machine Learning (ML) techniques have increased exponentially due to continuously increasing the size of data and computing capacity. …”
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Investigation of treatment delay in a complex healthcare process using physician insurance claims data: an application to symptomatic carotid artery stenosis by Stephen Christopher van Gaal, Arshia Alimohammadi, Mohammad Ehsanul Karim, Wei Zhang, Jason Sutherland

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A Survey of Blockchain Applications for Management in Agriculture and Livestock Internet of Things by Yang Yang, Min Lin, Yangfei Lin, Chen Zhang, Celimuge Wu

“…We provide an in-depth review of the latest applications and advancements of blockchain in these domains, offering a comprehensive analysis of the current state of technology and its implications. …”
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Wireless Sensor Networks: From Fundamentals and Applications to Innovations and Future Trends by Maria Trigka, Elias Dritsas

“…Recent advancements in areas such as federated intelligence, blockchain-based trust mechanisms, and quantum sensing are reshaping the landscape of WSNs. Yet, their full implications for next-generation applications demand deeper exploration. …”
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Extraterritorial Implications of Turkish Legislation by Bilgin Tiryakioğlu

“…The extraterritoriality of any rule is defined by interpretation taking into account the purpose of the relevant rule. Extraterritorial application or implication of Turkish law can be seen in various areas such as legislation on anti-trust, personal data protection, anti-corruption, and securities. …”
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Data mining application in unraveling the large-scale teleconnection and flood-inducing extreme precipitation events association in Jeddah City by Hadir Abdelmoneim, Sameh Ahmed Kantoush, Vahid Nourani, Mohamed Saber, Fahad Alamoudi

“…Our study focused on classifying and analyzing the surrounding sea surface temperatures (SSTs) of the Mediterranean, Red, Arabian, and Gulf seas, along with the Southern Oscillation Index (SOI), Oceanic Niño Index (ONI), and monthly precipitation data for Jeddah. This analysis aims to identify the most significant factors and extract important nonlinear features from long-term measured data from 1970 to 2024. …”
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Public opinion about the UK government during COVID-19 and implications for public health: A topic modeling analysis of open-ended survey response data. by Liam Wright, Alexandra Burton, Alison McKinlay, Andrew Steptoe, Daisy Fancourt

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Implications to basin evolution from the interpretation of superficial and buried geological features from remote sensing and magnetic data sets, Lower and Middle Benue Trough, Nigeria by E.Y. Yenne, C. Green, T. Torvela

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Enhancing regional disease burden estimates: insights from the comparison of Global Burden of Disease and China’s notifiable infectious diseases data with policy implications (2010–2020) by Zi-Yu Zhao, Jiao-Jiao Li, Han-Qi Ouyang, Wei-Hao Li, Sheng-Kai Huang, Okugbe Ebiotubo Ohore, Lu Wang, Jürg Utzinger, Guo-Jing Yang

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Influence of Age and Central Hypertension on the Form Factor Needed to Estimate Mean Aortic Pressure, and Its Implications for Pulse Pressure Amplification: A Secondary Data Analysis by Denis Chemla, Mathieu Jozwiak, Sandrine Millasseau, Pierre Attal

“…The pooled data included 320 adults, comprising our own database (n=139). …”
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Legal implications for the regulation of ownership, storage and control of narcotics in Indonesia by Hatarto Pakpahan, I Nyoman Nurjaya, Setiawan Nurdayasakti, Nurini Aprilianda

“…We collected and analysed data from statutory laws, legal commentaries, and case studies to assess the practical application of these provisions. …”
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Pelvic Floor Muscle Training Using the Perifit Device for the Treatment of Urinary Incontinence: A Pragmatic Trial Using Real-World Data by Erica T. Perrier, Louise Aumont

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On the Application of Probabilistic Route Choice Models to Urban Rail Transit Networks Containing Small-Scale OD Trip Data by Wei Zhu, Changyue Xu, Amr M. Wahaballa, Wenbo Fan, Seham Hemdan

“…However, its performance varies depending on the characteristics of the origin–destination (OD) trip data and should be examined carefully. This paper proposes a framework for validating the PRC model on its application to urban rail transit (URT) networks containing small-scale OD trip data. …”
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Multivariate Modified Dugum Distribution and Its Applications by Naelah Alghufily, Khalaf S. Sultan, Hossam M. M. Radwan

“…Finally, we apply the proposed model to analyze some real data sets, including a protein consumption data set and a warranty policy data set, for demonstrative purposes. …”
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DAGSLAM: causal Bayesian network structure learning of mixed type data and its application in identifying disease risk factors by Yuanyuan Zhao, Jinzhu Jia

“…Methods This study proposes an extension of the NOTEARS algorithm, termed DAGSLAM, which is designed for Bayesian network structure learning with mixed-type data. The algorithm integrates continuous and categorical variables through a tailored loss function, enhancing its applicability to real-world epidemiological datasets. …”
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An Assessment of Landslides Occurrence and Its Implications on Local Community in Ibanda Sub County Kasese District, Uganda by Chris, Agaba

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