Aims and objectives. The Forensic Early Warning Signs of Aggression Inventory (FESAI) was developed to assist nurses and patients in identifying early warning signs and constructing individual early detection plans (EDP) for the prevention of aggressive incidents. The aims of this research were as follows: First, to study the prevalence of early warning signs of aggression, measured with the FESAI, in a sample of forensic patients, and second, to explore whether there are any types of warning signs typical of diagnostic subgroups or offender subgroups. Background. Reconstructing patients’ changes in behaviour prior to aggressive incidents may contribute to identify early warning signs specific to the individual patient. The EDP comprises an early intervention strategy suggested by the patient and approved by the nurses. Implementation of EDP may enhance efficient risk assessment and management. Design. An explorative design was used to review existing records and to monitor frequencies of early warning signs. Methods. Early detection plans of 171 patients from two forensic hospital wards were examined. Frequency distributions were estimated by recording the early warning signs on the FESAI. Rank order correlation analyses were conducted to compare diagnostic subgroups and offender subgroups concerning types and frequencies of warning signs. Results. The FESAI categories with the highest frequency rank were the following: (1) anger, (2) social withdrawal, (3) superficial contact and (4) non-aggressive antisocial behaviour. There were no significant differences between subgroups of patients concerning the ranks of the four categories of early warning signs. Conclusion. The results suggest that the FESAI covers very well the wide variety of occurred warning signs reported in the EDPs. No group profiles of warning signs were found to be specific to diagnosis or offence type. Relevance to clinical practice. Applying the FESAI to develop individual EDPs appears to be a promising approach to enhance risk assessment and management.
At present, leading international agencies, such as the United Nations Environmental Programme, are largely focused on what they claim to be ‘win-win’ scenarios of ‘sustainable development’ rhetoric. These combine social, economic and environmental objectives. However, as noted by the ‘Scientists’ Warning to Humanity’, environmental integrity is the essential precondition for the healthy functioning of social and economic systems, and thus environmental protection needs to be prioritized in policy and practice. Ecological sustainability cannot be reached without realizing that population growth and economic growth, with attendant increased rates of depletion of natural resources, pollution, and general environmental degradation, are the root causes of unsustainability. This article argues that to strategically address ecological unsustainability, the social, economic and political barriers to addressing the current economic model and population growth need to be overcome. Strategic solutions proposed to the current neoliberal economy are generic – namely, degrowth, a steady-state economy, and a ‘circular economy’. Solutions to demographic issues must be sensitive to the countries' cultural, social, political and economic factors to be effective as fertility differs from country to country, and culture to culture. As discussed here, Mediterranean countries have the lowest fertility in the world, while many countries in Africa, and some in Asia, South America have stable but consistently high birthrates. This is discussed using three case studies - Tanzania, Italy, and Cambodia, focusing on the "best case" policy practice that offers more realistic hope for successful sustainability. https://doi.org/10.1007/s41207-019-0139-4 LinkedIn: https://www.linkedin.com/in/helenkopnina/
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There is increasing evidence that humans are not living sustainably. There are three major drivers of the unsustainable approach: population, consumption and the growth economy. There is widespread denial about these issues, but they clearly need to be addressed if we are to achieve any of the possible sustainable futures. The first and second versions of the ‘World Scientists Warning to Humanity’ both highlight the problem of increasing human population, as do the IPCC and IPBES reports. However, all have been largely ignored. The size of an ecologically sustainable global population is considered, taking into account the implications of increasing per capita consumption. The paper then discusses the reasons why society and academia largely ignore overpopulation. The claim that discussing overpopulation is ‘anti-human’ is refuted. Causal Layered Analysis is used to examine why society ignores data that do not fit with its myths and metaphors, and how such denial is leading society towards collapse. Non-coercive solutions are then considered to reach an ecologically-sustainable human population. LinkedIn: https://www.linkedin.com/in/helenkopnina/
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Automated driving nowadays has become reality with the help of in-vehicle (ADAS) systems. More and more of such systems are being developed by OEMs and service providers. These (partly) automated systems are intended to enhance road and traffic safety (among other benefits) by addressing human limitations such as fatigue, low vigilance/distraction, reaction time, low behavioral adaptation, etc. In other words, (partly) automated driving should relieve the driver from his/her one or more preliminary driving tasks, making the ride enjoyable, safer and more relaxing. The present in-vehicle systems, on the contrary, requires continuous vigilance/alertness and behavioral adaptation from human drivers, and may also subject them to frequent in-and-out-of-the-loop situations and warnings. The tip of the iceberg is the robotic behavior of these in-vehicle systems, contrary to human driving behavior, viz. adaptive according to road, traffic, users, laws, weather, etc. Furthermore, no two human drivers are the same, and thus, do not possess the same driving styles and preferences. So how can one design of robotic behavior of an in-vehicle system be suitable for all human drivers? To emphasize the need for HUBRIS, this project proposes quantifying the behavioral difference between human driver and two in-vehicle systems through naturalistic driving in highway conditions, and subsequently, formulating preliminary design guidelines using the quantified behavioral difference matrix. Partners are V-tron, a service provider and potential developer of in-vehicle systems, Smits Opleidingen, a driving school keen on providing state-of-the-art education and training, Dutch Autonomous Mobility (DAM) B.V., a company active in operations, testing and assessment of self-driving vehicles in the Groningen province, Goudappel Coffeng, consultants in mobility and experts in traffic psychology, and Siemens Industry Software and Services B.V. (Siemens), developers of traffic simulation environments for testing in-vehicle systems.
As climate change accelerates, rising sea levels pose challenges for low-lying nations like the Netherlands. Floating developments (such as homes, solar parks, and pavilions) are considered the most climate adaptative solution for the future, but the effects on the environment are unknown which is holding back this floating transformation. Since public and private partners are not able to answer questions on the effect of floating urbanisation on the environment and water quality based on speculations by models without field data, permits are given only after proof that ecological & water quality will not affected (also EU warnings ‘deteriorating’ water quality (UvW 2025, EU 2025). This proposal aims to develop an innovative autonomous docking station for aquatic drones, enhancing environmental monitoring of floating structures. Only a few monitoring campaigns measured the impact of small floating structures (small structures and only basic parameters). Traditional monitoring methods rely on manual sampling and static sensors, which are costly, labour-intensive, and provide delayed results. A new study, led by Hanze with Gemeente Rotterdam, Waternet (Gemeente Amsterdam) and Indymo, will assess the impact of new large-scale floating developments with a new method. Autonomous aquatic drones improve data resolution but face operational challenges such as battery life and data retrieval. An innovating docking station will address these issues by enabling drones to recharge, offload data, and perform continuous missions without human intervention. Advanced tools—including aquatic drones, 360-degree cameras, sonar imaging, and real-time sensors—will collect high-resolution environmental data also monitoring biodiversity and bathymetry. The proposed docking station will support real-time sensor networks, allowing for spatial and temporal data collection. It will improve the (cost) efficiency and quality of long-term environmental monitoring, providing insights into water quality dynamics and underwater ecosystems in Rotterdam and Amsterdam as an international example of floating development in the battle of climate change.
