Search Results (166)

The secondary sex ratio (SSR), defined as the ratio of male to female births in a population, has long been a subject of scientific inquiry due to its potential as a health indicator. The interplay between catastrophic events and the delicate balance of male and female births presents a nuanced and compelling study area. Natural disasters, such as earthquakes, hurricanes, floods, and volcanic eruptions, have been known to disrupt ecosystems and human populations, leading to both short-term and long-term consequences. Studies have suggested a potential influence of these disasters on the SSR, with varying degrees of impact observed across different regions and disaster types. Similarly, nuclear accidents, such as the infamous Chernobyl disaster, have sparked interest in their potential effects on human health and development. The release of radioactive materials into the environment can have far-reaching consequences, including impacts on reproductive outcomes. Through a rigorous examination of the existing literature, the present review aims to synthesize current knowledge on the impacts of natural disasters and nuclear accidents on the SSR and unravel the mechanisms that explain SSR fluctuations. By shedding light on the diverse influences shaping the SSR, this narrative review contributes to a deeper appreciation of the intricate interplay between environmental, biological, and societal factors that determines the SSR, calling for targeted strategies to mitigate potential adverse effects on sex ratios in the aftermath of such events. Full article

Concrete is a fundamental material in structural engineering, widely used in critical infrastructure such as bridges, nuclear power plants, and dams. These structures may be subjected to extreme dynamic loads resulting from natural disasters, industrial accidents, or missile impacts. Therefore, a comprehensive understanding of concrete behavior under high strain rates is essential for safe and resilient design. Experimental investigations, particularly spalling tests, have highlighted the strain-rate sensitivity of concrete in dynamic tensile loading conditions. This study presents a macroscopic 3D discrete element model specifically developed to simulate the dynamic response of concrete subjected to extreme loading. Unlike conventional continuum-based models, the proposed discrete element framework is particularly suited to capturing damage and fracture mechanisms in cohesive materials. A key innovation lies in incorporating a physically grounded strain-rate dependency directly into the local cohesive laws that govern inter-element interactions. The originality of this work is further underlined by the validation of the discrete element model under dynamic tensile loading through the simulation of spalling tests on normalstrength concrete at strain rates representative of severe impact scenarios (30–115 s⁻¹). After calibrating the model under quasi-static loading, the simulations accurately reproduce key experimental outcomes, including rear-face velocity profiles and failure characteristics. Combined with prior validations under high confining pressure, this study reinforces the capability of the discrete element method for modeling concrete subjected to extreme dynamic loading, offering a robust tool for predictive structural assessment and design. Full article

The increasing number of natural and man-made disasters registered at the global level is causing a significant amount of damage. This represents one of the main sustainability challenges at the global level. The collapse of the Twin Towers, Hurricane Katrina, and the nuclear accident at the Fukushima power plant are some of the most representative disaster events that occurred at the beginning of the third millennium. These relevant disasters need an enhanced level of preparedness to reduce the gaps between the plan and its implementation. Among these actions, training and exercises play a relevant role because they increase the capability of planners, managers, and the people involved. By focusing on the exposure risk component, the general objective of the research is to obtain quantitative evaluations of the exercise’s contribution to risk reduction through evacuation. The paper aims to analyze serious games using a set of methods and models that simulate an urban risk reduction plan. In particular, the paper proposes a transparent framework that merges transport risk analysis (TRA) and transport system models (TSMs), developing serious game activities with the support of emerging information and communication technologies (e-ICT). Transparency is possible through the explicitation of reproducible analytical formulations and linked parameters. The core framework of serious games is constituted by a set of models that reproduce the effects of players’ choices, including planned actions of decisionmakers and travel users’ choices. The framework constitutes the prototype of a digital platform in a “non-stressful” context aimed at providing more insights about the effects of planned actions. The proposed framework is characterized by transparency, a feature that allows other analysts and planners to reproduce each risk scenario, by applying TRA and relative effects simulations in territorial contexts by means of TSMs and parameters updated by e-ICT. A basic experimentation is performed by using a game, presenting the main results of a prototype test based on a reproducible exercise. The prototype experiment demonstrates the efficacy of increasing preparedness levels and reducing exposure by designing and implementing a serious game. The paper’s methodology and results are useful for policymakers, emergency managers, and the community for increasing the preparedness level. Full article

The integration of artificial intelligence (AI) and virtual reality (VR) in high-risk training simulations represents a significant advance in preparing professionals for critical situations. This study presents an exhaustive bibliometric review of the scientific literature published between 2015 and 2025, analyzing the trends, impact, and evolution of these technologies in various high-risk fields. The methodology employed included systematic searches in databases, such as Web of Science and Scopus, using keywords related to AI, VR, and high-risk simulation. Here, 700 articles were analyzed, applying co-citation analysis and scientific mapping techniques. The results reveal an exponential growth in publications on this topic, with an average annual increase of 5.54%. The following main thematic clusters were identified: emergency medicine, aviation, nuclear industry, and disaster response. The co-authorship analysis showed strong international collaboration, with the United States, China, and Germany standing out as leaders in research. This study provides a comprehensive view of the current state of research, identifying the main areas, gaps, and opportunities in the application of AI and VR in high-risk training. Full article

Even before the Fukushima Daiichi Nuclear Power Plant accident, people were continuously exposed to various naturally occurring radioactive materials, including radon. However, public awareness and understanding of this exposure remain limited. When communicating the risks of radiation exposure from the Fukushima accident, explanatory materials have not typically incorporated data from coastal areas of Fukushima Prefecture collected after the incident to clarify the actual levels of artificial and natural radiation exposure. This study aimed to assess whether presenting radiation dose data from coastal areas of Fukushima Prefecture—using natural radiation as a reference point—could influence risk perception regarding the health effects of radiation exposure and its potential impact on future generations. The study focused on students enrolled in health science-related departments at Hirosaki University. Before being presented with the data, the students had limited understanding of radiation. However, after reviewing the explanatory materials, 89 students (48.4%) demonstrated an improved understanding of its potential impact on future generations, while 87 students (47.3%) showed increased awareness of the effects on their own health. Regarding the reduction in risk perception, many students attributed it to the fact that radiation levels 10 years after the Fukushima nuclear accident were not significantly different from natural background radiation in most areas. These findings suggest that providing actual radiation measurement data from affected areas can significantly influence risk perception and decision-making processes. The results indicate that participants became more aware of the presence of natural background radiation, and the comparison with current radiation levels in Fukushima played a key role in shaping their risk perception. Full article

The strength of soft rock masses progressively deteriorates under dissolution effects, leading to extensive pore development and structural loosening within the rock matrix. This process induces water and sand inrush phenomena at excavation faces, posing substantial challenges to construction safety. This study systematically investigates the strength degradation mechanisms and engineering disaster evolution of soft rock subjected to water–rock interactions. Utilizing representative water-rich soft rock specimens from a tunnel in central Yunnan, a multi-scale analytical framework incorporating X-ray diffraction mineral analysis systems, triaxial mechanical testing systems for rocks, scanning electron microscopy (SEM), and nuclear magnetic resonance (NMR) was implemented. This integrated methodology comprehensively elucidates the macro–meso damage evolution mechanisms of soft rock under water–rock coupling interactions. The results indicate that as the dolomite content decreases and the impurity content increases, the softening grade of the rock rises, leading to more extensive pore development. Uniaxial compression tests revealed that the Poisson’s ratio of soft rock is significantly higher than that of typical rock. Triaxial compression tests demonstrated that confining pressure has a substantial impact on soft rock, particularly affecting Poisson’s ratio. Increased water content was found to significantly reduce the strength of the soft rock. Compared to loose soft rock, the radial strain of denser soft rock was markedly greater than the axial strain, and the soaking damage effect was more pronounced. This study provides a valuable insight into the mechanical and permeability behavior of soft rock under different conditions, and provides valuable insights into the solutions for soft rock in geological engineering such as tunnel excavations. Full article

Establishing a sound agricultural investment risk measurement and dynamic monitoring mechanism is a key path to optimize the efficiency of agricultural capital allocation and ensure the stability of the global food supply chain. Based on the five dimensions of politics, economy, society, agricultural management, and bilateral diplomatic and economic relations with China, this paper constructs an index system to assess the risks of China’s agricultural investment in 49 countries along “the Belt and Road” and uses nuclear density analysis, a Markov chain, and other methods to analyze the spatio-temporal evolution characteristics of different risks during 1995–2022. A deep neural network model is constructed to monitor the investment risk dynamically. The research shows that China’s agricultural investment risk to most of the countries along the route (61.22%) is at a normal level, and risk in bilateral diplomatic and economic relations with China is the most critical influencing factor. The agricultural investment risk among countries along the route has a significant positive spatial correlation and dynamic infectivity and shows a trend of gradually transferring from high risk to low risk in the long run. Endowment of agricultural water resources, natural disasters, and other indicators have the greatest impact on the high risk. Unemployment status and communication level have the greatest influence on the low risk. Investment relationship and endowment of agricultural land resources have the least influence on different investment risk levels. On this basis, the paper puts forward some policy suggestions for expanding the investment scale and strengthening dynamic monitoring. This paper enriches the index system of China’s agricultural investment risk and provides a reference for other countries’ agricultural investment and regional economic belt construction. Full article

Based on the results of the nuclear accident response education questionnaire, we use system dynamics to develop a nuclear accident response education effectiveness evaluation model. A questionnaire survey was conducted for the pre- and post-tests of the course to understand course effectiveness and explore the interactive relationship between factors. The system dynamics is used to develop a nuclear accident response education effectiveness evaluation model. Age and education are significantly related to education and training experience (number of times), and the age, occupation, and education level are significantly related to individuals’ experience (number of times) of participating in a nuclear accident evacuation exercise. In the workshop courses, the public’s awareness of self-protection against nuclear accidents was significantly improved. Experience in educational training was significantly related to evacuation exercises. Individuals’ age and experience of participating in education and training can be used to predict their willingness to participate in evacuation exercises. Using systems thinking and analysis, an evaluation model for nuclear incident response education effectiveness is constructed as a reference for evaluating effectiveness. The designed education and training courses can increase public participation in nuclear accident response education and strengthen the cognitive benefits of response protection. Full article

The coastal regions of Bangladesh host a rich diversity of Aman rice landraces, which are crucial for local agriculture but are highly vulnerable to natural disasters like cyclones and floods. Specifically, local landraces often experience flooding during grain filling and maturation stages, and sprouts in the field lead to a severe loss of yield. Seed dormancy, which delays germination, is a key trait for escaping sprouting in the field during harvesting. However, there is lack of information on genetic variability in the existing rice landraces grown in the coastal area of Bangladesh. This study evaluated the seed dormancy of 28 local Aman rice landraces, plus four varieties from the Bangladesh Institute of Nuclear Agriculture and Bangladesh Rice Research Institute. Germination tests were conducted under controlled conditions, and an electrical conductivity (EC) test was used to assess seed vigor. The results showed that Bari Mota, Tulsimala, Chinigura, Dishari, and Birindi exhibited the highest dormancy rates, i.e., 100%, 100%, 99%, 99%, and 99%, respectively, while BINA Dhan 10, Nona Bokra, and BINA Dhan 8 had the lowest dormancy rates, with values of 11%, 16%, and 24%, respectively. Priming treatments enhanced germination rates in some varieties; however, others, such as Bari Mota and Tulsimala, remained dormant, underscoring the variability in seed dormancy levels. Compared to non-priming, a significant improvement of germination was recorded in BRRI dhan 41 (85.3% vs. 9%), Motha mota (84% vs. 8%), Lal chikon (74.6% vs. 1%), Sadamota (74.6% vs. 5%), and Bashful (53.3% vs. 3%). Altogether, our results suggest that local landraces are diverse in seed dormancy, and genotypes with high dormancy, such as Bari Mota and Tulsimala, can potentially be grown in the disaster-prone coastal areas. In contrast, these genotypes can be used for future breeding programs. Therefore, this study carries significant implications for rice cultivation in the coastal areas of Bangladesh. Full article

Paper is a thin nonwoven material made from cellulose fibers as the main raw material together with some additives. Paper is highly flammable, leading to the destruction of countless precious ancient books, documents, and art works in fire disasters. In recent years, researchers have made a lot of efforts in order to obtain more durable and fire-retardant paper. Owing to the successful synthesis of ultralong hydroxyapatite (HAP) nanowires as a new kind of inorganic nanofiber material, it becomes possible to develop a new kind of super-durable and fire-resistant paper. Recently, the authors’ research group prepared a new kind of fire-resistant “Xuan paper” consisting of ultralong HAP nanowires. In this article, the super-durable fire-resistant “Xuan paper” based on ultralong HAP nanowires and the traditional Xuan paper based on cellulose fibers were evaluated by the accelerated aging method for 1200 days at 105 °C in air, which is the equivalent of 10,000 years of natural aging in the ambient environment. The aging mechanism of the traditional Xuan paper was further investigated by studying the fiber length/width and their distributions, morphology, infrared spectroscopy, thermogravimetric analysis, H–nuclear magnetic resonance spectra, and C–nuclear magnetic resonance spectra of cellulose fibers before and after the accelerated aging. The durability, properties, and mechanism of the fire-resistant “Xuan paper” based on ultralong HAP nanowires during the accelerated aging were studied. The experiments reveal the reasons for the deteriorated properties and reduced durability by aging of the traditional Xuan paper based on cellulose fibers, and the mechanism for the super-durability and excellent performances of the fire-resistant “Xuan paper” based on ultralong HAP nanowires during the accelerated aging process. Full article

Background/Objectives: The Fukushima Daiichi Nuclear Power Station accident underscored the critical role of public health nurses (PHNs) in managing evacuees during nuclear emergencies. Despite their importance, PHNs often lack sufficient knowledge and experience, which may make them anxious about this role. This study aimed to investigate the factors associated with PHNs’ anxiety about accepting evacuees and identify strategies to alleviate this anxiety. Methods: A cross-sectional survey was conducted among 100 PHNs working in Oita Prefecture, Japan, a region designated to receive evacuees in the event of a nuclear disaster. Data were collected via an online questionnaire assessing radiation knowledge, workplace characteristics, and anxiety about accepting evacuees. Univariate and multivariate logistic regression analyses were performed to identify the predictors of anxiety. Results: PHNs working in prefectural offices were 3.4 times more likely to feel anxious about accepting evacuees than those in municipal offices (OR = 3.488, 95% CI = 1.236–10.963, p = 0.023). Awareness of evacuation site responsibilities significantly reduced anxiety (OR = 0.412, 95% CI = 0.134–1.211, p = 0.110). Overall, knowledge of radiation was low, with only 8% correctly identifying the differences between stochastic and deterministic effects. Online training was the preferred format for education. Conclusions: Workplace characteristics and knowledge of evacuation responsibilities significantly influence PHNs’ anxiety levels. Addressing knowledge gaps through tailored, accessible training programs, particularly in online formats, is essential. Strengthening preparedness among PHNs could enhance their confidence and ability to manage evacuees effectively during nuclear disasters. Full article

In the face of modern global challenges and the growing impacts of anthropogenic activity, the issue of agricultural pollution of natural resources has become a critical issue, especially in countries experiencing ecological and social crises. Ukraine, as one of Europe’s largest agricultural producers, faces unique challenges stemming from the legacy of radiation contamination following the Chornobyl nuclear disaster, intensive land use, and the environmental consequences of military conflict. Our study focuses on analyzing the sources of agricultural pollution, including chemical runoff, pesticides, herbicides, heavy metals, and nutrient leaching, as well as their impacts on the sustainability of agroecosystems, food security, and human well-being. The methodology is based on a systematic analysis of scientific research, agrochemical surveys, monitoring reports, and documents from governmental and non-governmental organizations. The assessment of natural resources was conducted using an integrated approach combining quantitative and qualitative pollution indicators. The results reveal an increasing threat to natural resources in Ukraine due to outdated technologies, radiation contamination, and military activities. Special attention is given to the need for a transition to agroecological farming methods and bioremediation for restoring contaminated lands and water resources. The study contributes to the development of sustainable approaches to managing natural resources and strategic measures to minimize agricultural pollution. The Ukrainian context underscores the relevance of research in countries with transitional economies and unique environmental challenges, making the findings significant for international scientific agendas and environmental policy. Future research perspectives include developing innovative technologies to prevent pollution and enhance the sustainability of agroecosystems to ecological challenges, as well as creating international resource management models based on Ukraine’s experience. Full article

Global society faces the pressing question of how to eliminate reliance on fossil fuels while meeting increasing energy demand. In comparison to solar and wind energy, nuclear power has been largely ignored in urban studies research. However, nuclear energy has recently regained attention through the emergence of Small Modular Reactors (SMRs), and as the stakes of decarbonization become increasingly essential. To evaluate situations in which SMRs bring value to urban energy mixes, this paper focuses on Nuclear Batteries (NBs), a specific class of SMRs, that can fit in standard shipping containers. First, we outline an evaluation framework for the use and application of NBs; second, we present use cases for NBs in real-world situations, from disaster relief to grid reinforcement; and third, we discuss the social challenges around this technology. Full article

Background/Objectives: To explore how Public Health Nurses (PHNs) in Fukushima perceived their roles and activities as necessary or inadequate from the immediate aftermath through the long-term recovery of the nuclear disaster. Methods: We conducted a qualitative study using a self-administered questionnaire with open-ended questions to capture the perceptions of PHNs across three disaster phases: peacetime; nuclear emergency; and recovery. Responses were analyzed through qualitative content analysis. Results: PHNs’ needs and perceived inadequacies varied across the disaster phases. In peacetime, the emphasis was on education for disaster preparedness for both nurses and residents. During the nuclear emergency, the focus shifted to the need for PHN deployment and radiation screening systems, highlighting a significant gap in radiation knowledge. In the recovery phase, the importance of ongoing resident support, rumor management, and trust-building was emphasized, alongside an increased need for radiation education. Conclusions: This study highlights the critical need for phase-specific support systems and educational programs to enhance PHNs’ disaster response capabilities. It underscores the importance of preparedness plans and continuous training to improve PHNs’ effectiveness in addressing public health challenges during nuclear disasters. This study was not registered. Full article

The Visegrad Group, comprising Czechia, Hungary, Poland, and Slovakia, has several common features, including their geographical proximity, membership in the EU and NATO, and similar levels of economic development. However, they also have significant differences. The Russian invasion of Ukraine has exposed new disagreements among them, particularly regarding how to ensure energy security amid a changing geopolitical landscape and the issue of sanctions on Russian energy supplies. Despite these differences, the Visegrad Group countries have shown unity in their approach to nuclear power. Although their use of nuclear technology varies, they have recently aligned their nuclear energy policies. Czechia and Slovakia have a long history with nuclear technology, dating back to the 1970s, while Hungary began its nuclear program in the 1980s. Poland, which had paused its nuclear program after the Chernobyl disaster, has recently resumed its nuclear energy efforts. All four countries aim to expand their nuclear energy capacity to either maintain or increase its share in their electricity mix. This paper provides a comparative analysis of their nuclear energy policies, focusing on the political initiatives driving advancements in this field. It argues that these nations see nuclear energy as crucial for creating a resilient, crisis-resistant, and secure energy sector. Full article