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Daniel Yonto, L. Michele Issel and Jean-Claude Thill
Spatial data analytics can detect patterns of clustering of events in small geographies across an urban region. This study presents and demonstrates a robust research design to study the longitudinal stability of spatial clustering with small case number...
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Mingeun Son, Gangpyo Lee, Jaeyong Park and Min Choi
The platform developed in this study provides users with mental and physical health status monitoring services. Recently, it has been difficult for people with various respiratory diseases and mental health conditions to receive regular examinations/obse...
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Jiawei Liu, Chang Yang, Si Chen, Yangshuang Wang, Xingjun Zhang, Wulue Kang, Junyi Li, Ying Wang, Qili Hu and Xingcheng Yuan
Elucidating the hydrogeochemical processes and quality assessment of groundwater holds significant importance for its sustainable development. In this paper, 53 groundwater samples were collected from a typical agricultural area in the northeastern Chong...
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Zhongyou Yu, Rongwen Yao, Xun Huang and Yuting Yan
Intense anthropogenic activities pose a serious threat to groundwater quality in urban areas. Assessing pollution levels and the health risks of trace elements within urban groundwater is crucial for protecting the groundwater environment. In this study,...
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Chang-Min Kim, Ellen J. Hong, Kyungyong Chung and Roy C. Park
As people communicate with each other, they use gestures and facial expressions as a means to convey and understand emotional state. Non-verbal means of communication are essential to understanding, based on external clues to a person?s emotional state. ...
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John J. Moughty and Joan R. Casas
Traditionally, damage identification techniques in bridges have focused on monitoring changes to modal-based Damage Sensitive Features (DSFs) due to their direct relationship with structural stiffness and their spatial information content. However, their...
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F. Necati Catbas, Jacob Anthony Cano, Furkan Luleci, Lori C. Walters and Robert Michlowitz
This study investigates the capture of digital data and the development of models for structures with incomplete documentation and plans. LiDAR technology is utilized to obtain the point clouds of a pedestrian bridge structure. Two different point clouds...
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Min Wang, Xiaoyu Song, Yu Han, Guantao Ding, Ruilin Zhang, Shanming Wei, Shuai Gao and Yuxiang Liu
In order to understand the pollution degree and source of potentially toxic elements (PTEs) in groundwater around the accident site and evaluate their harm to human health, 22 groundwater samples were collected around the accident well, and the contents ...
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Giuliana Favara, Martina Barchitta, Andrea Maugeri, Roberta Magnano San Lio and Antonella Agodi
Background: Natural language processing, such as ChatGPT, demonstrates growing potential across numerous research scenarios, also raising interest in its applications in public health and epidemiology. Here, we applied a bibliometric analysis for a syste...
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Salvatore Calcagno, Andrea Calvagna, Emiliano Tramontana and Gabriella Verga
The Electronic Health Record (EHR) is a system for collecting and storing patient medical records as data that can be mechanically accessed, hence facilitating and assisting the medical decision-making process. EHRs exist in several formats, and each for...
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Ying Liu, Wenjing Shen, Kaixuan Fan, Weihao Pei and Shaomin Liu
The impacts of heavy metal pollution in arable soil on agricultural production, environmental health, and the wellbeing of urban and rural residents cannot be overlooked. It has become a significant bottleneck in achieving comprehensive rural revitalizat...
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Alice Wang, Rozita Dara, Samira Yousefinaghani, Emily Maier and Shayan Sharif
Infectious diseases take a large toll on the global population, not only through risks of illness but also through economic burdens and lifestyle changes. With both emerging and re-emerging infectious diseases increasing in number, mitigating the consequ...
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Penia Marsella, Dewi Cahyani Pangestuti
Pág. 237 - 248
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Yong Zhu, Hong Su, Shengnan Tang, Shida Zhang, Tao Zhou and Jie Wang
Since the hydraulic axial piston pump is the engine that drives hydraulic transmission systems, it is widely utilized in aerospace, marine equipment, civil engineering, and mechanical engineering. Operating safely and dependably is crucial, and failure p...
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Adeeb Sidani, João Poças Martins and Alfredo Soeiro
This article presents a comprehensive review of the safety status and technological development in high-risk industries, with a focus on construction, mining, agriculture, transportation, healthcare, and energy sectors. The objective is to analyse and co...
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Jie Wu, Yongjin He, Chengyu Xu, Xiaoping Jia, Yule Huang, Qianru Chen, Chuyue Huang, Armin Dadras Eslamlou and Shiping Huang
Crack detection is an important task in bridge health monitoring, and related detection methods have gradually shifted from traditional manual methods to intelligent approaches with convolutional neural networks (CNNs) in recent years. Due to the opaque ...
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Lu Wang
In the context of climate change, heat waves are a serious hazard having significant impacts on human health, especially vulnerable populations. Many studies have researched the association between extreme heat and mortality. In the context of urban plan...
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Yiwen Jiao, Yitian Liu, Wei Wang, Yujiao Li, Wentong Chang, Ao Zhou and Ronglong Mu
Acid mine drainage (AMD) is a major anthropogenic source of heavy metal discharge worldwide. However, little research has been carried out on the development of AMD in abandoned pyrite mines and the heavy metal contamination of mine surface water. The ai...
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Costas P. Providakis, Maria G. Mousteraki and Georgia C. Providaki
Without affecting the integrity or stability of the heritage monuments, vibration-based techniques provide useful solutions for acquiring global information about them. By studying the dynamic response to suitable excitation sources, it is feasible to de...
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Xinxin Zhou, Yujie Chen, Yingying Li, Bingjie Liu and Zhaoyuan Yu
As a kind of first aid healthcare service, emergency medical services (EMSs) present high spatiotemporal sensitivity due to significant changes in the time-dependent urban environment. Taking full advantage of big spatiotemporal data to realize multiperi...
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