Multilevel Structural Characteristics of Jinshajiang Main Fault and Its Influence on Engineering by Hui Zhou, Yihuan Shen, Yong Zhu, Gang Han, Chuanqing Zhang, Ning Zhang

“…The multilevel structure of the fault, together with centralized structure, distributed structure, and stepped structure of the fault, can be used as a structure classification method of fault structure, which provides a reference for the study of disaster mechanisms, and prevention and control measures of tunnels crossing active faults.…”
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An integrated fuzzy optimal location selection model for setting up floating solar photovoltaic plant: Implications for energy sustainability in Bangladesh by Md. Zahidul Anam, A. B. M. Mainul Bari, Dipayan Basak, Md. Atik Foysal, Asif Raihan, Abu Reza Md. Towfiqul Islam

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Déjouer le spectacle de la violence. Représenter les événements du 11 septembre 2001 by Bertrand GERVAIS

“…His 21 minutes film is an extraordinary example of "found footage," which brings together excerpts from Hollywood films, more precisely Hollywood blockbusters and disaster movies. Dating from a pre-September 11 era, the films he has chosen and whose segments he has sewed together show beyond any doubt the eerie prefiguration in American imagination of the events of that day. …”
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Exploring Spatio-Temporal Variations in Water and Land Resources and Their Driving Mechanism Based on the Coupling Coordination Model: A Case Study in Western Jilin Province, China by Lujuan Zhang, Guzailinuer Aihemaitijiang, Zihao Wan, Mingtang Li, Jiquan Zhang, Feng Zhang, Chunli Zhao

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The southward shift of hurricane genesis over the northern Atlantic Ocean by Xi Cao, Renguang Wu, Xianling Jiang, Yifeng Dai, Pengfei Wang, Lei Zhou, Liang Wu, Difei Deng, Ying Sun, Shangfeng Chen, Kaiming Hu, Zhibiao Wang, Lu Liu, Xiaoqing Lan, Zhencai Du, Junhu Zhao, Xiao Xiao

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A Morphometric Approach to Bozkurt (Kastamonu-Türkiye) Flood by Vedat Avci, Ömer Ünsal

“…This study aims to analyze the flood disaster that occurred in Kastamonu-Bozkurt in 2021 through the morphometric parameters of the basin. …”
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Harnessing AI for Enhanced Weather Prediction: A Focus on Rainfall by Hira Farman, Noman Islam, Noman Hasany

“…In the final analysis, these developments may lead to improved methods for disaster preparedness and mitigation, lessening the destructive effects of floods on areas that are already at risk. …”
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Implementing psychosocial interventions for teachers' mental health: Protocol for integrating scoping review with teachers lived experiences in LMICs. by Kanika Malik, Sadananda Reddy, Yasmine A Shilla, Aditi Khanna, Ranya R Kaurr, Abbey Boban

“…The review will focus on examining psychosocial interventions studies promoting mental health or addressing mental problems among grade 1-12 school teachers of all genders, ages and contexts, except those working in specialized settings, such as special education centers, or disaster- or crisis-stricken zones. Intervention studies exclusively focusing on physical health or job-related outcomes will be excluded. …”
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Influence of Two Cooling Methods on Dynamic Mechanical Properties of High Temperature Sandstone by Qi Ping, Qi Diao, Dezhi Qi, Chen Wang, Chuanliang Zhang

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Assessment of mechanical properties and durability of compressed mud bricks stabilized with stone dust, wheat straw, and cement by Yaqin Chen, Muhammad Saqib, Khan Shahzada, Mohammad Aizaz, Akhtar Gul

“…This work bridges traditional mud brick composition with modern engineering insight by providing a scalable, cost-effective, environmentally friendly, application to disaster-prone and rapidly urbanizing areas worldwide.…”
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Reexpansion Pulmonary Edema following Laparoscopy-Assisted Distal Gastrectomy for a Patient with Early Gastric Cancer: A Case Report by Kazuhito Yajima, Tatsuo Kanda, Ryo Tanaka, Yu Sato, Takashi Ishikawa, Shin-ichi Kosugi, Tadayuki Honda, Katsuyoshi Hatakeyama

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UAV-Multispectral Based Maize Lodging Stress Assessment with Machine and Deep Learning Methods by Minghu Zhao, Dashuai Wang, Qing Yan, Zhuolin Li, Xiaoguang Liu

“…This study demonstrates that combining DL with UAV-multispectral data enables a more comprehensive understanding of maize lodging type, severity, and direction, which is essential for post-disaster rescue operations and agricultural insurance claims.…”
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Comparative Analysis of Global Solar Radiation Models in Different Regions of China by Qingwen Zhang, Ningbo Cui, Yu Feng, Yue Jia, Zhuo Li, Daozhi Gong

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On the 5G Communications: Fractal-Shaped Antennas for PPDR Applications by Mihai-Virgil Nichita, Maria-Alexandra Paun, Vladimir-Alexandru Paun, Viorel-Puiu Paun

“…In this study, one method of using antennas based on fractals to cover few kinds of public protection and disaster relief (PPDR) communications was presented. …”
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The relationship of body mass index with fasting blood glucose in type-2 diabetes mellitus by Rimadhani Ervina Tria, Mawardi Fitriana, Dewi Fitria Puspita, Purwanta Barkah Djaka, Sholikah Amanatus, Hutomo Muhammad Agita

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Assessing the performance of machine learning and analytical hierarchy process (AHP) models for rainwater harvesting potential zone identification in hilly region, Bangladesh by Md. Mahmudul Hasan, Md. Talha, Most. Mitu Akter, Md Tasim Ferdous, Pratik Mojumder, Sujit Kumar Roy, N.M. Refat Nasher

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Multi-step Prediction of Monthly Sediment Concentration Based on WPT-ARO-DBN/WPT-EPO-DBN Model by GAO Xuemei, CUI Dongwen

“…Accurate multi-step sediment concentration prediction is of significance for regional soil erosion control,flood control and disaster reduction.To improve the multi-step prediction accuracy of sediment concentration and the prediction performance of the deep belief network (DBN),this paper proposes a multi-step prediction model of monthly sediment concentration by combining the artificial rabbit optimization (ARO) algorithm,eagle habitat optimization (EPO) algorithm,and DBN based on wavelet packet transform (WPT).The model is validated using time series data of monthly sediment concentration from Longtan Station in Yunnan Province.Firstly,WPT is employed to decompose the time series data of the monthly sediment concentration of the case in three layers,and eight more regular subsequence components are obtained.Secondly,the principles of ARO and EPO algorithms are introduced,and hyperparameters such as the neuron number in the hidden layer of DBN are optimized by ARO and EPO.Meanwhile,WPT-ARO-DBN and WPT-EPO-DBN prediction models are built,and WPT-PSO (particle swarm optimization)-DBN and WPT-DBN are constructed for comparative analysis.Finally,four models are adopted to predict each subsequence component,and the predicted values are superimposed to obtain the multi-step prediction results of the final monthly sediment concentration.The results are as follows.① WPT-ARO-DBN and WPT-EPO-DBN models have satisfactory prediction effects on the monthly sediment concentration of the case from one step ahead to four steps ahead.This yields sound prediction results for five steps ahead.The prediction effect for six steps ahead and seven steps ahead is average,and the prediction accuracy for eight steps ahead is poor and cannot meet the prediction accuracy requirements.② The multi-step prediction performance of WPT-ARO-DBN and WPT-EPO-DBN models is superior to WPT-PSO-DBN models and far superior to WPT-DBN models,with higher prediction accuracy,better generalization ability,and larger prediction step size.③ ARO and EPO can effectively optimize DBN hyperparameters,improve DBN prediction performance,and have better optimization effects than PSO.Additionally,WPT-ARO-DBN and WPT-EPO-DBN models can give full play to the advantages of WPT,new swarm intelligence algorithms and the DBN network and improve the multi-step prediction accuracy of monthly sediment concentration,and the prediction accuracy decreases with the increasing prediction steps.…”
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Evaluation of community behavior regarding the risk of plastic micro-pollution on the environment health by D. Utari, N.I. Hawa, G. Fizumli, H. Agustina

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Multi-functional dressings for recovery and screenable treatment of wounds: A review by F. Moradifar, N. Sepahdoost, P. Tavakoli, A. Mirzapoor

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Impact of loneliness on suicidal ideation during the COVID-19 pandemic: findings from a cross-sectional online survey in Japan by Takahiro Tabuchi, Ryo Okubo, Hirokazu Tachikawa, Midori Matsushima, Haruhiko Midorikawa, Miyuki Aiba

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