Xiaobo Jiang, Hongchao Zheng^*

Structural Durability & Health Monitoring, Vol.19, No.6, pp. 1695-1716, 2025, DOI:10.32604/sdhm.2025.063890 - 17 November 2025

Abstract Construction failures caused by unforeseen circumstances, such as natural disasters, environmental degradation, and structural weaknesses, present significant challenges in achieving durability, safety, and sustainability. This research addresses these challenges through the development of advanced emergency rescue systems incorporating wood-derived nanomaterials and IoT-enabled Structural Health Monitoring (SHM) technologies. The use of nanocellulose which demonstrates outstanding mechanical capabilities and biodegradability alongside high resilience allowed developers to design modular rescue systems that function effectively even under challenging conditions while providing real-time failure protection. Experimental data from testing showed that the replacement system strengthened load-bearing limits by 20% while… More >

E. Whitney Pollio^1,*, David E. Pollio², Carol S. North^3,4

International Journal of Mental Health Promotion, Vol.27, No.10, pp. 1483-1495, 2025, DOI:10.32604/ijmhp.2025.067755 - 31 October 2025

Abstract Objectives: At the time of the bombing of the federal building in Oklahoma City, Oklahoma (OKC), it was the deadliest terrorist attack in the United States of America. Available research on this incident, and in general, has been quantitative, using deductive methods. The purpose of the current study was to systematically examine professional disaster response workers’ emotions elicited spontaneously and in detail as they were experienced over time after a major disaster. This qualitative study will add to existing knowledge of psychopathology and the psychosocial effects of disasters on professional responders, which have not been… More >

Chenyu Jiang, Hao Zhang^*

Congenital Heart Disease, Vol.20, No.2, pp. 129-131, 2025, DOI:10.32604/chd.2025.064155 - 30 April 2025

Abstract This article has no abstract. More >

Xiaoqing Wang¹, Peng Duan^1,*, Leilei Meng^1,*, Kaidong Yang²

CMC-Computers, Materials & Continua, Vol.80, No.1, pp. 931-947, 2024, DOI:10.32604/cmc.2024.050612 - 18 July 2024

Abstract Effective path planning is crucial for mobile robots to quickly reach rescue destination and complete rescue tasks in a post-disaster scenario. In this study, we investigated the post-disaster rescue path planning problem and modeled this problem as a variant of the travel salesman problem (TSP) with life-strength constraints. To address this problem, we proposed an improved iterated greedy (IIG) algorithm. First, a push-forward insertion heuristic (PFIH) strategy was employed to generate a high-quality initial solution. Second, a greedy-based insertion strategy was designed and used in the destruction-construction stage to increase the algorithm’s exploration ability. Furthermore,… More >

Yun-Jung Choi¹, Heewon Song^2,*

International Journal of Mental Health Promotion, Vol.26, No.6, pp. 475-480, 2024, DOI:10.32604/ijmhp.2024.050824 - 28 June 2024

Abstract During the rapid spread of COVID-19, first responders are at risk of being exposed to COVID-19 due to their role in providing first aid and responding to an unspecified number of people. This uncertainty can have adverse mental health effects, such as increased anxiety and fear. This study aimed to investigate the degree of association between fear of COVID-19, obsession with COVID-19, and post-traumatic stress disorder (PTSD) in emergency rescue firefighters. The participants were 150 emergency rescue firefighters working in Region S, Korea. They filled out self-report questionnaires: The data obtained through the Fear of… More >

Gustavo Cruz^1,*, Santiago Pedroza², Juan F. Vélez³, Jessica Largo², Juan F. Tejada⁴, Jorge H. Mejía-Mantilla⁵

Congenital Heart Disease, Vol.19, No.2, pp. 207-218, 2024, DOI:10.32604/chd.2024.044244 - 16 May 2024

Abstract Background: Failure to rescue has been an effective quality metric in congenital heart surgery. Conversely, morbidity and mortality depend greatly on non-modifiable individual factors and have a weak correlation with better-quality performance. We aim to measure the complications, mortality, and risk factors in pediatric patients undergoing congenital heart surgery in a high-complexity institution located in a middle-income country and compare it with other institutions that have conducted a similar study. Methods: A retrospective observational study was conducted in a high-complexity service provider institution, in Cali, Colombia. All pediatric patients undergoing any congenital heart surgery between… More >

Hang Yang^1,2,3,*, Xunbo Li¹, Witold Pedrycz²

Intelligent Automation & Soft Computing, Vol.37, No.3, pp. 3039-3058, 2023, DOI:10.32604/iasc.2023.040412 - 11 September 2023

Abstract Fire rescue challenges and solutions have evolved from straightforward plane rescue to encompass 3D space due to the rise of high-rise city buildings. Hence, this study facilitates a system with quick and simplified on-site launching and generates real-time location data, enabling fire rescuers to arrive at the intended spot faster and correctly for effective and precise rescue. Auto-positioning with step-by-step instructions is proposed when launching the locating system, while no extra measuring instrument like Total Station (TS) is needed. Real-time location tracking is provided via a 3D space real-time locating system (RTLS) constructed using Ultra-wide… More >

Tareq Alhmiedat^1,2,*, Ashraf M. Marei^1,2, Saleh Albelwi^1,2, Anas Bushnag², Wassim Messoudi², Abdelrahman Osman Elfaki^2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.3, pp. 2321-2344, 2023, DOI:10.32604/cmes.2023.025641 - 09 March 2023

Abstract Agricultural projects in different parts of the world depend on underground water wells. Recently, there have been many unfortunate incidents in which children have died in abandoned underground wells. Providing topographical information for these wells is a prerequisite to protecting people from the dangers of falling into them, especially since most of these wells become buried over time. Many solutions have been developed recently, most with the aim of exploring these well areas. However, these systems suffer from several limitations, including high complexity, large size, or inefficiency. This paper focuses on the development of a… More >

Naqqash Dilshad¹, Taimoor Khan², JaeSeung Song^1,*

Computer Systems Science and Engineering, Vol.46, No.1, pp. 749-764, 2023, DOI:10.32604/csse.2023.034475 - 20 January 2023

Abstract To prevent economic, social, and ecological damage, fire detection and management at an early stage are significant yet challenging. Although computationally complex networks have been developed, attention has been largely focused on improving accuracy, rather than focusing on real-time fire detection. Hence, in this study, the authors present an efficient fire detection framework termed E-FireNet for real-time detection in a complex surveillance environment. The proposed model architecture is inspired by the VGG16 network, with significant modifications including the entire removal of Block-5 and tweaking of the convolutional layers of Block-4. This results in higher performance… More >

Hanan Abdullah Mengash¹, Jaber S. Alzahrani², Majdy M. Eltahir³, Fahd N. Al-Wesabi⁴, Abdullah Mohamed⁵, Manar Ahmed Hamza^6,*, Radwa Marzouk⁷

Computer Systems Science and Engineering, Vol.45, No.2, pp. 1393-1407, 2023, DOI:10.32604/csse.2023.030328 - 03 November 2022

Abstract Presently, smart cities play a vital role to enhance the quality of living among human beings in several ways such as online shopping, e-learning, e-healthcare, etc. Despite the benefits of advanced technologies, issues are also existed from the transformation of the physical word into digital word, particularly in online social networks (OSN). Cyberbullying (CB) is a major problem in OSN which needs to be addressed by the use of automated natural language processing (NLP) and machine learning (ML) approaches. This article devises a novel search and rescue optimization with machine learning enabled cybersecurity model for… More >