The propagandization of a Net Generation adds nothing to our understanding of the digital behaviour of young people. Indeed, it is becoming increasingly obvious that the whole concept of a Net Generation rests on incorrect assumptions. Hence, arguments based on a Net Generation are not only irrelevant and misleading but precarious as well. Precarious in the sense that they are mobilized as a decisive means of engineering change, not least in education policy. Only when we stop thinking in terms of the Net Generation can we form a more astute vision of when the deployment of digital learning aids will have a realistic chance of success.
DOCUMENT
Background: Parents of children with profound intellectual and multiple disabilities (PIMD) have extensive care duties. This study describes the phenomenon “parenting a child with PIMD.” Method: We conducted in-depth interviews with 25 Dutch parents. A reflective lifeworld research. Findings: The essential meaning of the phenomenon was understood as “continuously struggling to create and maintain new equilibriums that protect the child and the family from hardship; changing in context through time.” The following eight constituents were identified: (1) medical complexity; (2) multidimensional weariness; (3) care for siblings; (4) social connectedness; (5) uncertainty about the future; (6) wrecking bureaucracy; (7) dependency on healthcare delivery; and (8) financial concerns. Conclusions: Healthcare services should provide families with easy access to assistive technology and services needed to manage family life. Responsiveness to parents’ challenges offers them the possibility to participate in society. Healthcare professionals should address the parents’ perspectives related to the child’s quality of life.
DOCUMENT
This study explores legal consciousness of social workers within the framework of the 2015 Social Support Act (SSA) in the Netherlands. The aim of this law is to provide social support and care to citizens with impairments or chronic psychological or psychosocial problems, with the goal of enabling people to live independently and actively participate in society. The SSA grants entitlement to a needs assessment to applicants, essential for accessing personalized provisions. This assessment is a pivotal legal evaluation for persons with disabilities to ultimately exercise their rights under the UN Convention on the Rights of Persons with Disabilities (CRPD), ratified by the Netherlands in 2016. With the use of the concept of legal consciousness, this study aims to contribute to understanding social workers’ experiences, understandings, and actions in relation to law in the context of legal decision-making on behalf of the council.
MULTIFILE
Inaugural address of Frederike Praasterink, Professor Future Food Systems 22 February 2018. Three important principles contribute to the transformation of food systems: - Redesign food systems from ‘less bad’ to ‘net positive’ - Reconnect consumers, producers, youth - Revalue food through true cost accounting and new business models
DOCUMENT
BACKGROUND: Since the benefit-harm balance of adding inhaled corticosteroids to long-acting β2-agonists (LABA) and long-acting muscarinic antagonists (LAMA) for patients with chronic obstructive pulmonary disease is unclear, we evaluated this addition for a range of patient profiles. METHODS: Analyses considered the effects of low-to-moderate doses of inhaled corticosteroids, LABA, and LAMA compared with LABA and LAMA alone, outcome incidences, and preference weights assigned to averted moderate-to-severe exacerbations (benefit) and severe pneumonia, candidiasis, and dysphonia (harm). Using exponential models, we estimated the preference weight-adjusted 2-year net clinical benefit (ie, benefits outweighing harms) indices. Exacerbation risk thresholds for triggering inhaled corticosteroids, LABA, and LAMA were established when the probability of a 2-year net clinical benefit reached 60%. We estimated the proportion of patients benefiting from added inhaled corticosteroids using an externally validated prediction model for acute exacerbations in primary care. FINDINGS: Adding low-to-moderate dose inhaled corticosteroids to LABA and LAMA provided a net clinical benefit in patients with a 2-year baseline exacerbation risk of 54-83%. Low-dose inhaled corticosteroids showed a net clinical benefit if the baseline risk was 40-91%, but not at higher doses. The benefit was modified by blood eosinophil count (BEC) and age. Although no net benefit was associated with a BEC of less than 150 cells per μL, patients with a BEC of 150 cells per μL or more had a net benefit from low-dose inhaled corticosteroids with a 2-year exacerbation risk of 32-95% in those aged 40-79 years and 41-93% in those older than 80 years. A moderate dose of inhaled corticosteroids showed a net benefit in patients younger than 80 years with a BEC of 150 cells per μL or more at 52-86% 2-year exacerbation risk. Depending on the subgroups, the proportion of patients with a net benefit from added inhaled corticosteroids ranged from 0 to 68%. INTERPRETATION: The net clinical benefit of adding different inhaled corticosteroid doses to LABA and LAMA varies greatly with exacerbation risk, BEC, and age. Personalised treatment decisions based on these factors and predicted exacerbation risks might reduce overtreatment and undertreatment with inhaled corticosteroids.None.
DOCUMENT
Machine learning models have proven to be reliable methods in classification tasks. However, little research has been done on classifying dwelling characteristics based on smart meter & weather data before. Gaining insights into dwelling characteristics can be helpful to create/improve the policies for creating new dwellings at NZEB standard. This paper compares the different machine learning algorithms and the methods used to correctly implement the models. These methods include the data pre-processing, model validation and evaluation. Smart meter data was provided by Groene Mient, which was used to train several machine learning algorithms. The models that were generated by the algorithms were compared on their performance. The results showed that Recurrent Neural Network (RNN) 2performed the best with 96% of accuracy. Cross Validation was used to validate the models, where 80% of the data was used for training purposes and 20% was used for testing purposes. Evaluation metrices were used to produce classification reports, which can indicate which of the models work the best for this specific problem. The models were programmed in Python.
DOCUMENT
The aim of this document is to outline the preliminary requirements and steps needed to fully establish frameworks for certification systems across Europe, specifically to support and incentivize the restoration of peatlands and to provide a framework for reducing GHG emissions from degraded and mismanaged peatlands on a large scale. This will ensure that peatlands across Europe fulfil their potential to become a net carbon sink by 2050, while optimizing ecosystem service provision in a way that is fully consistent with all the relevant European policies. This report covers the following topics: - Analysis of current Carbon Credit systems and other incentives to support wet peatlands. - Economic land use analysis relating to peatlands. - Outline of a framework to support rewetting and peatland restoration. - Recommendations for an Eco-Credit system across Europe.
DOCUMENT
1e alinea column: Hoe kun je nou de lessons learned van social media zo opschrijven dat corporates met hun duizenden controllers en compliance officers er iets mee kunnen? The social company en het ver-internetten van de bedrijfsvoering zetten onderstaande principles op de Business Balance Scorecard. Deze statements hebben stuk voor stuk concrete gevolgen voor strategie, inrichting en operations, voor ICT oplossingen en voor HRM, als je bereid bent er 'door heen' te lezen. Ze vormen een basis voor prioriteitstelling, bijvoorbeeld bij projectselectie, investeringsbeslissingen, individuele beoordelingen of bij de keuze van nieuwe collega's. Op die manier kun je de verbinding strategie, ondernemerschap en uitvoerend vermogen van jouw rule-based corporate toetsen aan de principles van de socials. Wellicht begrijpt een corporate bank daarna een klein social bedrijf met een goed idee die startkapitaal wil wat beter. Bijdrage aan het opheffen van een misverstand.
LINK
Machine learning models have proven to be reliable methods in classification tasks. However, little research has been conducted on the classification of dwelling characteristics based on smart meter and weather data before. Gaining insights into dwelling characteristics, which comprise of the type of heating system used, the number of inhabitants, and the number of solar panels installed, can be helpful in creating or improving the policies to create new dwellings at nearly zero-energy standard. This paper compares different supervised machine learning algorithms, namely Logistic Regression, Support Vector Machine, K-Nearest Neighbor, and Long-short term memory, and methods used to correctly implement these algorithms. These methods include data pre-processing, model validation, and evaluation. Smart meter data, which was used to train several machine learning algorithms, was provided by Groene Mient. The models that were generated by the algorithms were compared on their performance. The results showed that the Long-short term memory performed the best with 96% accuracy. Cross Validation was used to validate the models, where 80% of the data was used for training purposes and 20% was used for testing purposes. Evaluation metrics were used to produce classification reports, which indicates that the Long-short term memory outperforms the compared models on the evaluation metrics for this specific problem.
DOCUMENT
Shani and Arad (2014) claimed that tourism scholars tend to endorse the most pessimistic assessments regarding climate change, and that anthropogenic climate change was a "fashionable" and "highly controversial scientific topic". This brief rejoinder provides the balance that is missing from such climate change denial and skepticism studies on climate change and tourism. Recent research provides substantial evidence that reports on anthropogenic climate change are accurate, and that human-induced greenhouse gas emissions, including from the tourism industry, play a significant role in climate change. Some positive net effects may be experienced by some destinations in the short-term, but in the long-term all elements of the tourism system will be impacted. The expansion of tourism emissions at a rate greater than efficiency gains means that it is increasingly urgent that the tourism sector acknowledge, accept and respond to climate change. Debate on tourism-related adaptation and mitigation measures is to be encouraged and welcomed. Climate change denial is not.
LINK
