Academic Articles & Research Papers

START Triage Scale in Disasters

Disasters are events that occur since the beginning of time. When previous records are investigated, information on various types of disasters occurred in different parts of the World are encountered. Disasters occur unexpectedly and requir...

Full-scale simulations to improve disaster preparedness in hospital pharmacies

Abstract Purpose Assess whether full-scale simulation exercises improved hospital pharmacies’ disaster preparedness. Methods Swiss hospital pharmacies performed successive full-scale simulation exercises at least four months apart. An inter...

Public administration: Concepts and cases

Public Administration: Concepts and Cases offers a unique and highly regarded framework in which conceptual readings are paired with contemporary case studies that reflect real-world examples of administrative work, as well as new thinking ...

How do Tourists Perceive Risk and Develop Travel Preparedness? Influence of Destination Attributes and Knowledge

This study explores how destination attributes, such as accessibility, natural attractions, facilities, and disaster knowledge, influence tourists' risk perceptions, ultimately shaping their travel preparedness. Data were collected through ...

Necessity of Integrating Disaster Risk Management into Health Policy Documents: A Strategic Perspective

Introduction: Health systems worldwide are confronting new and increasingly complex challenges that undermine the effectiveness of traditional crisis‑management models. The issue of “the necessity of integrating disaster risk management int...

Development of a Scoring System to Predict the Treatment Success for Nonoperative Management of Peptic Ulcer Perforation: A Secondary Data Analysis of PPAP Study

ABSTRACT Background Although surgical treatment is the primary measure for patients with perforated peptic ulcer (PPU), nonoperative management (NOM) has become a common alternative. However, risk score models predicting the success of NOM ...

RadarDiT: An advanced radar echo extrapolation model for three gorges reservoir area via diffusion transformer

Study region: The Three Gorges Reservoir Area (TGRA) Study focus: TGRA faces increasing vulnerability to extreme precipitation events driven by complex convective weather systems. Radar echo extrapolation—predicting future precipitation pat...

Geospatial for Good: Empowering Citizens for Sustainable Urban and Rural Futures

Geospatial technologies are rapidly emerging as pivotal tools for advancing sustainable urban and rural development through citizen empowerment in India and worldwide. This study systematically reviews peer-reviewed and grey literature to e...

Physical model test study on shear strength characteristics of slope sliding surface in Nanfen open-pit mine

A physical model for the footwall slope of Nanfen open-pit mine, China was established using a self-developed deep geological engineering disaster model test system. A thermosensitive similar material, paraffin, was selected to simulate a w...

Assessment of Urban Resiliency Concerning Disaster Risk: A Review on Multi- Dimensional Approaches

Research Progress of Citrus Melanose

Citrus melanose consists of a series of plant diseases caused by the fungal species of the genus Diaporthe. It has been reported with over 30 Diaporthe species on citrus, including several important fungal pathogens, endophytes, saprophytes...

Disaster Robotics

A comprehensive, authoritative, and accessible reference for disaster robotics that covers theory, specific deployments, and ground, air, and marine modalities. This book offers the definitive guide to the theory and practice of disaster ro...

Cybersecurity

How do effective directors secure the organisation against cyber risks? Based on a framework of global corporate governance best practice, which can be used in all organisations anywhere in the world, this chapter of Questions To Ask (QTA) ...

Modeling Climate Change Issues in Indonesia Based on Media Headlines

Climate change has become a global issue affecting all countries in the last decades. This phenomenon poses a concern to Indonesia as it is one of the climate change’s epicenters. Various studies have shown that climate change can harm mult...

Enhanced Intrusion Detection in Drone Networks: A Cross-Layer Convolutional Attention Approach for Drone-to-Drone and Drone-to-Base Station Communications

Due to Internet of Drones (IoD) technology, drone networks have proliferated, transforming surveillance, logistics, and disaster management. Distributed Denial of Service (DDoS) attacks, malware infections, and communication abnormalities i...

Oxford Textbook of Public Health

SECTION 1: THE DEVELOPMENT OF THE DISCIPLINE OF PUBLIC HEALTH 1.1 The scope and concerns of public health 1.2 The history and development of public health in high-income countries 1.3 The history and development of public health in low- and...

Research on application of GPS-based wireless communication system in highway landslide

Abstract Machine learning is a branch of the field of artificial intelligence. Deep learning is a complex machine learning algorithm that has unique advantages in image recognition, speech recognition, natural language processing, and indus...

AN IMPROVED MASK R-CNN: EXTRACTION OF DOOR AND WINDOW INSTANCES ON VILLAGE BUILDING FAÇADE IMAGES

Rapid access to the basic structure of village buildings is conducive to the investigation of the load-bearing bodies of village houses and provides data support for disaster assessment and post-disaster rescue and reconstruction. The devel...

Deep Learning for Understanding Satellite Imagery: An Experimental Survey

Translating satellite imagery into maps requires intensive effort and time, especially leading to inaccurate maps of the affected regions during disaster and conflict. The combination of availability of recent datasets and advances in compu...

A Survey of Deep Learning Techniques and Computer Vision in Robotic and Drone with Applications

The methods of deep learning have lately demonstrated outstanding outcomes of robotic objects such as imagination, localization and striping. Its exceptional abilities in order to learn idealizations from complicated data gathered in the re...