Comprehensive knowledge on the issues contributing to mining conflicts is crucial in balancing between the exploitation of mineral deposits and local claims. We explore recent mining conflicts in the European Union using information derived from the Global Atlas of Environmental Justice to improve the understanding of the potential impacts of the intensification of mining activities by the new minerals policies. The variety of causes of conflict is wide and ranges from environmental impacts to socio-economic and health concerns of the populations residing in the vicinity of the mines. While mining conflicts have arisen during all the phases of the life cycle of a mine, new mining projects have been well presented amongst the conflicts. Policy makers should increasingly pay attention to the multiple impacts that mining has had on the environment and socially, in order to be able to put the plans for increasing minerals extraction in Europe into practice.
Background: Type 2 diabetes is a major health concern all over the world. The prevention of diabetes is important but so is well-balanced diabetes care. Diabetes care can be influenced by individual and neighborhood socio-economic factors and geographical accessibility to health care services. The aim of the study is to find out whether two different area classifications of urban and rural areas give different area-level results of achieving the targets of control and treatment among type 2 diabetes patients exemplified by a Finnish region. The study exploits geo-referenced patient data from a regional primary health care patient database combined with postal code area-level socio-economic variables, digital road data and two grid based classifications of areas: an urban-rural dichotomy and a classification with seven area types. Methods:The achievement of control and treatment targets were assessed using the patient's individual laboratory data among 9606 type 2 diabetes patients. It was assessed whether hemoglobin A1c (HbA1c) was controlled and whether the recommended level of HbA1c was achieved in patients by different area classes and as a function of distance. Chi square test and logistic regression analysis were used for testing. Results:The study reveals that area-level inequalities exist in the care of type 2 diabetes in a detailed 7-class area classification but if the simple dichotomy of urban and rural is applied differences vanish. The patient's gender and age, area-level education and the area class they belonged to were associated with achievements of control and treatment targets. Longer distance to health care services was not a barrier to good achievements of control or treatment targets. Conclusions:A more detailed grid-based area classification is better for showing spatial differences in the care of type 2 diabetes patients. Inequalities exist but it would be misleading to state that the differences are simply due to urban or rural location or due to distance. From a planning point of view findings suggest that detailed geo-coded patient information could be utilized more in resourcing and targeting the health care services to find the area-level needs of care and to improve the cost-efficient allocation of resources.
This study develops and applies a logistic route-optimizing model of the collection of bale wrap waste from farms in North Karelia, Finland. To assess cost-efficiency the model analyzed three collection scenarios for one- and three-year collection intervals by full trailer combination truck and annually by lorry. According to our study the cheapest per tonne cost to collect bale wrap waste is to carry out a collection every third year by full trailer combination truck. In the three-year option the per tonne cost is 54,5 percent of the cost collecting waste by lorry annually and 42,2 percent of the per tonne cost collecting waste by full trailer combination truck annually. To maximize the loading grade of a vehicle only, the collection of waste can be made most efficiently by lorries. The study demonstrates the importance of purposefully selecting the vehicle type and the collection intervals in collecting bulk plastic waste.
Knowledge in the magnitude and historical trends in land use and land cover (LULC) is needed to understand the changing status of the key elements of the landscape and to better target management efforts. However, this information is not easily available before the start of satellite campaign missions. Scanned historical maps are a valuable but underused source of LULC information. As a case study, we used U-Net to automatically extract fields, mires, roads, watercourses, and water bodies from scanned historical maps, dated 1965, 1984 and 1985 for our 900 km$$^2$$ 2 study area in Southern Finland. We then used these data, along with the topographic databases from 2005 and 2022, to quantify the LULC changes for the past 57 years. For example, the total area of fields decreased by around 27 km$$^2$$ 2 , and the total length of watercourses increased by around 2250 km in our study area.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.