Design revolutions: IASDR 2019 Conference Proceedings. Volume 3: People

In September 2019 Manchester School of Art at Manchester Metropolitan University was honoured to host the bi-annual conference of the International Association of Societies of Design Research (IASDR) under the unifying theme of DESIGN REVOLUTIONS. This was the first time the conference had been held in the UK. Through key research themes across nine conference tracks – Change, Learning, Living, Making, People, Technology, Thinking, Value and Voices – the conference opened up compelling, meaningful and radical dialogue of the role of design in addressing societal and organisational challenges. This Volume 3 includes papers from People track of the conference

Urban food strategies in Central and Eastern Europe: what's specific and what's at stake?

Integrating a larger set of instruments into Rural Development Programmes implied an increasing focus on monitoring and evaluation. Against the highly diversified experience with regard to implementation of policy instruments the Common Monitoring and Evaluation Framework has been set up by the EU Commission as a strategic and streamlined method of evaluating programmes’ impacts. Its indicator-based approach mainly reflects the concept of a linear, measure-based intervention logic that falls short of the true nature of RDP operation and impact capacity on rural changes. Besides the different phases of the policy process, i.e. policy design, delivery and evaluation, the regional context with its specific set of challenges and opportunities seems critical to the understanding and improvement of programme performance. In particular the role of local actors can hardly be grasped by quantitative indicators alone, but has to be addressed by assessing processes of social innovation. This shift in the evaluation focus underpins the need to take account of regional implementation specificities and processes of social innovation as decisive elements for programme performance.

2007, UMaine News Press Releases

This is a catalog of press releases put out by the University of Maine Division of Marketing and Communications between January 8, 2007 and December 27, 2007

Aiding the conservation of two wooden Buddhist sculptures with 3D imaging and spectroscopic techniques

The conservation of Buddhist sculptures that were transferred to Europe at some point during their lifetime raises numerous questions: while these objects historically served a religious, devotional purpose, many of them currently belong to museums or private collections, where they are detached from their original context and often adapted to western taste. A scientific study was carried out to address questions from Museo d'Arte Orientale of Turin curators in terms of whether these artifacts might be forgeries or replicas, and how they may have transformed over time. Several analytical techniques were used for materials identification and to study the production technique, ultimately aiming to discriminate the original materials from those added within later interventions

Sustainable Agriculture and Advances of Remote Sensing (Volume 2)

Agriculture, as the main source of alimentation and the most important economic activity globally, is being affected by the impacts of climate change. To maintain and increase our global food system production, to reduce biodiversity loss and preserve our natural ecosystem, new practices and technologies are required. This book focuses on the latest advances in remote sensing technology and agricultural engineering leading to the sustainable agriculture practices. Earth observation data, in situ and proxy-remote sensing data are the main source of information for monitoring and analyzing agriculture activities. Particular attention is given to earth observation satellites and the Internet of Things for data collection, to multispectral and hyperspectral data analysis using machine learning and deep learning, to WebGIS and the Internet of Things for sharing and publication of the results, among others

Low cost Internet of things based sensor networks for air quality in cities

Air pollution is a major public health concern, with over 7 million deaths globally attributed to it annually, as stated by the World Health Organization (WHO) in 2018. Existing real-time Air Quality (AQ) monitoring stations are expensive to install and maintain; therefore, such air quality monitoring networks are sparsely deployed and lack the measurement density to develop high-resolution spatiotemporal air pollutant monitoring. The data generated also lacks accuracy, but still, they have great potential to complement the existing air quality assessment framework. Therefore, this thesis aims to propose a comprehensive architecture for utilizing low-cost sensors in air pollution monitoring. The thesis presents a novel approach to deploy a low-cost sensor network in a city and use a hybrid convolutional-long short-term memory (Conv-LSTM) model for spatiotemporal prediction of air pollution. This approach utilizes both convolutional layers to capture spatial patterns in the sensor data and LSTM layers to capture temporal dependencies. The use of a hybrid model allows for the simultaneous capture of both spatial and temporal patterns in the data, resulting in more accurate predictions compared to models that only utilize one or the other. The research also explores the use of statistical models such as Seasonal Autoregressive Integrated Moving Average (SARIMA) and Nonlinear Autoregressive with exogenous inputs (NARX) models for air quality forecasting, presenting a comparison of the proposed hybrid model with other such state-of-the-art statistical and machine learning models. The results show that the proposed Conv-LSTM model outperforms these approaches in terms of prediction accuracy and robustness and, therefore, is a promising approach for spatiotemporal prediction of air pollution using low-cost sensor data. Additionally, the thesis proposes a general solution to analyze how the noise level of measurements and hyperparameters of a Gaussian process model affect the prediction accuracy and uncertainty of low-cost sensor data. The thesis further presents an extensive evaluation of the proposed hybrid model using real-world data from the low-cost sensor network deployed in Sheffield, and the results demonstrate the effectiveness of the proposed approach. Finally, the real-world studies present the integration of low-cost sensor data into a decision-making system, social and behavioural changes driven by such sensors and the impact of these results on driving policy changes to achieve the World Health Organization’s (WHO) 2021 target for air quality

Individual cognition and collective behaviour in ants

Eusocial insects are impressive on individual and collective level. Collectively, they build nests and efficiently exploit and monopolise nearby resources by sharing information amongst their members. Such collective behaviours are shaped by remarkable and multi-facetted individual abilities and decision-making processes. By revealing and investigating factors which influence individual decision making, this thesis provides a deeper insight into the cognitive lives of ants while contributing to a more cohesive understanding of colony behaviour as a whole. In chapter 2, we demonstrated that foraging ants form expectations about value-neutral qualities of a food source – such as its taste – and dislike food which deviates from those expectations. As such dislike is translated into reduced recruitment, it will have a direct impact on colony-level behaviour. Expectations are thus a potential driver of foraging decisions. Ants excel in navigation, and we showed in chapter 3 that ants can rapidly learn olfactory or spatial cues to localise food sources. Moreover, when those two types of private information where put into conflict, ants exclusively relied on olfaction. This demonstrates that one type of information can entirely dominate decisions in certain situations. While we demonstrated that ants learn simple associations rapidly, nothing was known about their ability to learn abstract relations between stimuli, although concept learning has been reported in honeybees. Thus, in chapter 4, we trained ants to learn a relational rule of same/different, but found that the ants, instead of solving such a complex task via learning, resorted to heuristics such as ‘go left’ or ‘go to the more salient cue’. Intriguingly, the heuristics used varied between individual ants. Learning is dependent on reward and motivation and in chapter 5 we investigated whether those factors alone could explain individual and collective foraging behaviour. While we only found small effects of reward magnitude and motivation on learning, persistence rates varied dramatically in lower motivated colonies. An agent-based model using the empirical data further demonstrated that individual decisions alone can cause ecologically sensible colony-level foraging behaviour. Finally, in chapter 6 we explored whether colonies could make sensible collective decisions in the context of trail-clearing by Australian meat ants. We found that ant colonies preferentially cleared trails toward a food source if the alternative detours were long. The underlying mechanisms seem to be dependent on individual propensities to remove obstacles which leads to the emergence of paths. Taken together, the results of this thesis broaden our understanding of individual cognition in ants and demonstrate that properties inherent to individuals, such as experience or task propensities, systematically influence decisions and thus impact the collective

De-Sign Environment Landscape City Atti

La VI Conferenza Internazionale sul Disegno, De_Sign Environment Landscape City_Genova 2020 tratta di: Rilievo e Rappresentazione dell’Architettura e dell’Ambiente; Il Disegno per il paesaggio; Disegni per il Progetto: tracce - visioni e pre-visioni; I margini i segni della memoria e la città in progress; Cultura visiva e comunicazione dall’idea al progetto; Le emergenze architettoniche; Il colore e l’ambiente; Percezione e identità territoriale; Patrimonio iconografico culturale paesaggistico: arte, letteratura e ricadute progettuali; Segni e Disegni per il Design e Rappresentazione avanzata. Federico Babina, architetto e graphic designer presenta ARCHIVISION, e Eduardo Carazo Lefort, Docente dell’Università di Valladolid e Targa d’Oro dell’Unione Italiana Disegno la Lectio Magistralis. The VI International Conference on Drawing, De_Sign Environment Landscape City_Genoa 2020, deals with: Survey and Representation of Architecture and the Environment; Drawing for the landscape; De-signs for the Project: traces-visions and previews; Margins, signs of memory and the city in progress; Visual culture and communication from idea to project; Architectural emergencies; The color and the environment; Perception and territorial identity; Landscape cultural iconographic heritage: art, literature and design implications; Signs and Drawings for Design and Advanced Representation. Federico Babina, architect and graphic designer presents ARCHIVISION, and Professor Eduardo Carazo Lefort-University of Valladolid and Gold Plate of the Italian Design Union presents his Lectio Magistralis

The 1991 Marshall Space Flight Center research and technology

A compilation of 194 articles addressing research and technology activities at the Marshall Space Flight Center (MSFC) is given. Activities are divided into three major areas: advanced studies addressing transportation systems, space systems, and space science activities conducted primarily in the Program Development Directorate; research tasks carried out in the Space Science Laboratory; and technology programs hosted by a wide array of organizations at the Center. The theme for this year's report is 'Building for the Future'