Energy policies are vital tools used by countries to regulate economic and social development as well as guarantee national security. To address the problems of fragmented policy objectives, conflicting tools, and overlapping initiatives, the internal logic and evolutionary trends of energy policies must be explored using the policy content. This study uses 38,277 energy policies as a database and summarizes the four energy policy objectives: clean, low-carbon, safe, and efficient. Using the TextCNN model to classify and deconstruct policies, the LDA + Word2vec theme conceptualization and similarity calculations were compared with the EISMD evolution framework to determine the energy policy theme evolution path. Results indicate that the density of energy policies has increased. Policies have become more comprehensive, barriers between objectives have gradually been broken, and low-carbon objectives have been strengthened. The evolution types are more diversified, evolution paths are more complicated, and the evolution types are often related to technology, industry, and market maturity. Traditional energy themes evolve through inheritance and merger; emerging technology and industry themes evolve through innovation, inheritance, and splitting. Moreover, this study provides a replicable analytical framework for the study of policy evolution in other sectors and evidence for optimizing energy policy design
DOCUMENT
Rationale To improve the quality of exercise-based cardiac rehabilitation (CR) in patients with chronic heart failure (CHF) a practice guideline from the Dutch Royal Society for Physiotherapy (KNGF) has been developed. Guideline development A systematic literature search was performed to formulate conclusions on the efficacy of exercise-based intervention during all CR phases in patients with CHF. Evidence was graded (1–4) according the Dutch evidence-based guideline development criteria. Clinical and research recommendations Recommendations for exercise-based CR were formulated covering the following topics: mobilisation and treatment of pulmonary symptoms (if necessary) during the clinical phase, aerobic exercise, strength training (inspiratory muscle training and peripheral muscle training) and relaxation therapy during the outpatient CR phase, and adoption and monitoring training after outpatient CR. Applicability and implementation issues This guideline provides the physiotherapist with an evidence-based instrument to assist in clinical decision-making regarding patients with CHF. The implementation of the guideline in clinical practice needs further evaluation. Conclusion This guideline outlines best practice standards for physiotherapists concerning exercise-based CR in CHF patients. Research is needed on strategies to improve monitoring and follow-up of the maintenance of a physical active lifestyle after supervised CR.
DOCUMENT
Background To improve the quality of exercise-based cardiac rehabilitation (CR) in patients with coronary heart disease (CHD) the CR guideline from the Dutch Royal Society for Physiotherapists (KNGF) has been updated. This guideline can be considered an addition to the 2011 Dutch Multidisciplinary CR guideline, as it includes several novel topics. Methods A systematic literature search was performed to formulate conclusions on the efficacy of exercise-based interventions during all CR phases in patients with CHD. Evidence was graded (1–4) according the Dutch evidence-based guideline development (EBRO) criteria. In case of insufficient scientific evidence, recommendations were based on expert opinion. This guideline comprised a structured approach including assessment, treatment and evaluation. Results Recommendations for exercise-based CR were formulated covering the following topics: preoperative physiotherapy, mobilisation during the clinical phase, aerobic exercise, strength training, and relaxation therapy during the outpatient rehabilitation phase, and adoption and monitoring of a physically active lifestyle after outpatient rehabilitation. Conclusions There is strong evidence for the effectiveness of exercise-based CR during all phases of CR. The implementation of this guideline in clinical practice needs further evaluation as well as the maintenance of an active lifestyle after supervised rehabilitation. LinkedIn: https://www.linkedin.com/in/tinusjongert/
DOCUMENT
The project aim is to improve collusion resistance of real-world content delivery systems. The research will address the following topics: • Dynamic tracing. Improve the Laarhoven et al. dynamic tracing constructions [1,2] [A11,A19]. Modify the tally based decoder [A1,A3] to make use of dynamic side information. • Defense against multi-channel attacks. Colluders can easily spread the usage of their content access keys over multiple channels, thus making tracing more difficult. These attack scenarios have hardly been studied. Our aim is to reach the same level of understanding as in the single-channel case, i.e. to know the location of the saddlepoint and to derive good accusation scores. Preferably we want to tackle multi-channel dynamic tracing. • Watermarking layer. The watermarking layer (how to embed secret information into content) and the coding layer (what symbols to embed) are mostly treated independently. By using soft decoding techniques and exploiting the “nuts and bolts” of the embedding technique as an extra engineering degree of freedom, one should be able to improve collusion resistance. • Machine Learning. Finding a score function against unknown attacks is difficult. For non-binary decisions there exists no optimal procedure like Neyman-Pearson scoring. We want to investigate if machine learning can yield a reliable way to classify users as attacker or innocent. • Attacker cost/benefit analysis. For the various use cases (static versus dynamic, single-channel versus multi-channel) we will devise economic models and use these to determine the range of operational parameters where the attackers have a financial benefit. For the first three topics we have a fairly accurate idea how they can be achieved, based on work done in the CREST project, which was headed by the main applicant. Neural Networks (NNs) have enjoyed great success in recognizing patterns, particularly Convolutional NNs in image recognition. Recurrent NNs ("LSTM networks") are successfully applied in translation tasks. We plan to combine these two approaches, inspired by traditional score functions, to study whether they can lead to improved tracing. An often-overlooked reality is that large-scale piracy runs as a for-profit business. Thus countermeasures need not be perfect, as long as they increase the attack cost enough to make piracy unattractive. In the field of collusion resistance, this cost analysis has never been performed yet; even a simple model will be valuable to understand which countermeasures are effective.
Het wereldwijd stijgende verbruik van fossiele brandstoffen leidt tot verhoogde broeikasgasemissies en tot onomkeerbare klimaatveranderingen. Als onderdeel van de energietransitie worden duurzame alternatieven zoals biobrandstoffen ontwikkeld. Het doel van dit project is om te onderzoeken of het haalbaar is om een innovatieve hernieuwbare bio-kerosine te ontwikkelen. Triacylglycerol (TAG), een potentiële biobrandstof, wordt door bacteriën zoals Nocardia en Rhodococcus tot zeer hoge gehaltes geproduceerd. Productie en isolatie van TAG zal worden getest in verschillende stammen gekweekt in eenvoudige media en substraten. Het project wordt uitgevoerd door een projectteam bestaande uit wetenschappers/docenten van de HU/iLab en de biotech startup Microfuel Innovations B.V.
In Nederland wordt flink nagedacht over mobiliteitsconcepten waarmee problemen als emissies, fijnstof, parkeerdruk en congestie kunnen worden teruggedrongen. Vooral in stedelijke omgevingen is hier veel aandacht voor om de leefbaarheid en toegankelijkheid binnen deze gebieden te vergroten. Lichte elektrische voertuigen (LEVs) zijn klein, schoon en wendbaar en kunnen in de mobiliteitstransitie die dit toekomstbeeld vereist een prominente rol spelen. Één van de vereisten voor deze transitie is de mogelijkheid om deze voertuigen – van monowheels tot microcars – veilig en toegankelijk te kunnen laden, zodat zij hun functie als duurzame vervanger van traditionelere vervoersmiddelen met verbrandingsmotor kunnen vervullen. Hiervoor is een wijdverspreid netwerk van laadmogelijkheden nodig. Voor LEVs is dit in theorie niet zo heel moeilijk, omdat de accu's van deze voertuigen zowel via (publieke) laadpalen als via een willekeurig stopcontact zouden kunnen worden opgeladen. Gemak dient de mens, zou je dus zeggen? Echter, bestaande laadpalen zijn hiervoor op dit moment niet beschikbaar. Daarnaast hebben veiligheidsrisicoanalisten de noodklok geluid over de veiligheidsrisico's van het laden van LEV-accu's. Zij vrezen dat door onjuist hanteren of het laten vallen of stoten van de accupakketten de brandveiligheid van de accu's niet te garanderen en controleren is; een probleem dat de brandweer publiekelijk onderschrijft. In “LEV: Laad Maar!” duiken vier praktijkpartners in deze nieuwe problematiek en beantwoorden we de vraag: Middels welke laad technologieën kan het veilig en toegankelijk laden van LEVs in Nederland worden verbeterd? Het doel is om een handreiking voor techniekontwikkelaars en veiligheidsadviseurs te ontwikkelen op basis waarvan keuzes over de laadsystemen voor LEVs kunnen worden ondersteund. Hiertoe worden in dit project literatuuronderzoek, interviews en studentenprojecten met betrekking tot optimale ontwikkeling van laadinfrasystemen uitgevoerd. De resultaten zullen worden gepubliceerd in factsheets, vakpublicatie(s) en presentatie(s) voor de doelgroep, en worden opgenomen in het onderwijs op de HAN over laadinfra en (LEV-)accusystemen.