A Model to Define an eHealth Technological Ecosystem for Caregivers

The ageing of world population has a direct impact on the health and care systems, as it means an increase in the number of people needing care which leads to higher care costs and the need for more resources. In this context, informal caregivers play an important role as they enable dependent persons to stay at home and thus reduce care costs. However, long-term continuous care provision has also an impact in the physical and mental health of the caregivers. Moreover, geographical barriers make it difficult for caregivers to accessing psychoeducation as a way to alleviate their problems. To support caregivers in their needs and provide specialized training, technology plays a fundamental role. The present work provides the theoretical basis for the development of a technological ecosystem focused on learning and knowledge management processes to develop and enhance the caregiving competences of formal and informal caregivers, both at home and in care environments. In particular, a platform-specific model to support the definition of the ecosystem based on Open Source software components is presented, along with a Business Model Canvas to define the business structure as part of the human elements of the technological ecosystem

Economic and environmental impact assessment through system dynamics of technology-enhanced maintenance services

This work presents an economic and environmental impact assessment of maintenance services in order to evaluate how they contribute to sustainable value creation through field service delivery supported by advanced technologies. To this end, systems dynamics is used to assist the prediction of economic and environmental impacts of maintenance services supported by the use of an e-maintenance platform implementing prognosis and health management. A special concern is given to the energy use and related carbon footprint as environmental impacts

Continuous improvement planning through sustainability assessment of product-service systems

The paper presents a methodology for the integrated sustainability assessment of a product-service system lifecycle, with the purpose to support continuous improvement on the side both of the manufacturer and of the user. Its eight steps are an extension of ISO 14040 life cycle assessment and consider all three sustainability dimensions – economic, environmental and social – and a service perspective, using the service unit. A set of indicators for the three dimensions, aligned to the service unit concept, is proposed based on literature suggestions

Green Carbon: Making sustainable agriculture real

The concept of sustainable development has evolved from a mere movement for the protection of the environment, to other multidimensional approaches. Indeed, today it calls for a holistic approach, seeking to preserve and improve not only the environment, but also to achieve social equity and economic sustainability. In Europe, society demands quality and safe products, not only in the industrial sector but also in agriculture. According to FAO, sustainable agriculture development is a key element of the new global challenges to meet human food security needs at 2050. Unsustainable practices based on intensive soil tillage and agro-chemical applications have increased agri-environmental risks. Whereas world’s food needs are expected to increase by 70% by 2050, agricultural land in Europe will also have to face environmental, economic and social challenges related to sustainable agriculture. As a result, in the EU 2020 Strategy, it is expressed that the new Common Agricultural Policy (CAP) is required to contribute to smart, sustainable and inclusive growth, enhancing social well-being, providing ecosystem services, managing resources sustainably while avoiding environmental degradation. There is broad consensus within the scientific sector that human actions generate a large portion of the greenhouse gas (GHG) emissions, causing global warming. Certainly, Kyoto Protocol states it. According to the European Environmental Agency (EEA), there has been a decrease of 17% in GHG emissions between 1990 and 2009. However, EEA also stressed the importance of the agricultural contribution to total emissions (10.3%). The fossil fuel used in agricultural field operations, along with increasing CO2 emissions from soil through tillage, are considered to be one of the main direct sources of GHG emissions from agriculture sector. Increased inputs required to sustain conventional agriculture also adds significantly to total GHG emissions. Therefore, intensification of production through tillage, agro-chemicals and heavy machinery, which characterizes conventional agriculture in Europe, strongly contributes to increased net GHG emissions instead of mitigating global warming. Sustainable agricultural soil management is crucial for mitigating climate change, especially for the restoration of lost soil organic carbon. In fact, "Agricultural soils management" is recognized as one of the 15 most promising technology options for reducing GHG emissions in the COM (2005) 35 final "Winning the battle against global climate change." The Green Carbon Conference aims to show sustainable management of agricultural soils can help to agriculture mitigate and adapt to climate change, being compatible with the objectives of environmental protection, enhancing biodiversity and supporting farmers’ welfare along with many other environmental, economic and social benefits. Over the last decade, Conservation Agriculture has become known as a set of interlinked agricultural practices, of no or minimum mechanical soil disturbance, maintenance of soil mulch cover, and diversified cropping system, capable of: (a) overcoming several of the severe sustainability limitations of conventional agriculture; and (b) raising productivity, enhancing resilience, reducing degradation and increasing the flow of ecosystem services. The discussion around both the Soil Thematic Strategy initiated in 2002, and the JRC SoCo (Soil Conservation) project clearly recognized the potential of Conservation Agriculture in mitigating and even reversing the problems of soil erosion, soil organic matter decline, soil compaction, loss of biodiversity, climate change vulnerability, among others. Whereas Conservation Agriculture is now practiced successfully on more than 125 million hectares worldwide, Europe has shown to be reluctant with regard to its adoption, despite many promising results confirming its suitability in Europe. Therefore, this European Conference on Green Carbon provides an opportunity to take a leap forward in terms of sharing farmers experiences on Conservation Agriculture across Europe, reviewing the recent progress made in knowledge generation regarding Conservation Agriculture, and to disseminate the outcomes of the currently running LIFE+ Agricarbon (LIFE08 ENV/E/000129). The slogan of ‘Green Carbon’ chosen for this Conference attempts to clarify and highlight the indivisible yet vital link between soil organic carbon and the role that soil health plays in the sustainability of agricultural production and in the flow of ecosystem services. Nevertheless, the topics addressed by the Green Carbon Conference are not only related to the importance of soil organic carbon for the overall soil quality and health, but also include other sustainability issues intimately related to the role of soil carbon such as landscape scale ecosystem functions and services, climate change mitigation and carbon offset, and economic aspects. This Conference also seeks to alert and inform EU policy stakeholders and technical officers of the urgent need to adopt sustainable soil and production practices of Conservation Agriculture to contribute to the objectives of Europe 2020, the EU's growth strategy for the coming decades

Human Interaction in Learning Ecosystems based on Open Source Solutions

Technological ecosystems are software solutions based on the integration of heterogeneous software components through information flows in order to provide a set of services that each component separately does not offer, as well as to improve the user experience. In particular, the learning ecosystems are technological ecosystems focused on learning and knowledge management in different contexts such as educational institutions or companies. The ecosystem metaphor comes from biology field and it has transferred to technology field to highlight the evolving component of software. Taking into account the definitions of natural ecosystems, a technological ecosystem is a set of people and software components that play the role of organisms; a series of elements that allow the ecosystem works (hardware, networks, etc.); and a set of information flows that establish the relationships between the software components, and between these and the people involved in the ecosystem. Human factor has a main role in the definition and development of this kind of solutions. In previous works, a metamodel has been defined and validated to support Model-Driven Development of learning ecosystems based on Open Source software, but the interaction in the learning ecosystem should be defined in order to complete the proposal to improve the development process of technological ecosystems. This paper presents the definition and modelling of the human interaction in learning ecosystem

Aislamiento y caracterización de la cepa de Laetiporus cf. sulphureus, proveniente de plantaciones forestales de Eucalyptus globulus, del distrito de Yucay, Cusco, Perú

Se realizó la colecta de Laetiporus cf. sulphureus a partir de troncos de Eucalyptus globulus L. en la localidad de Yucay durante los meses de febrero y marzo del 2014 con la finalidad de aislar y obtener la cepa de este poliporo cuyos basidiomas juveniles presentan propiedades alimenticias. Para la colecta se utilizó el método aleatorio simple, seleccionando aquellos que presentaban las mejores características en cuanto a tamaño, aspecto y textura, realizando el aislamiento a partir de un fragmento de pseudotejido en Agar Papa Dextrosa (PDA) y Agar Extracto Malta (EMA), a 25 ± 1ºC bajo condiciones de completa oscuridad. La caracterización macroscópica de la cepa se realizó en cuatro medios de cultivo PDA, EMA, HMA (Agar Harina de Maíz) y MBC (Medio Basado en Cerveza), incubados a 17, 21 y 25°C, midiendo el diámetro de la colonia cada 24 horas durante siete días. Para la obtención de basidiomas el inoculo fúngico fue cultivado en sustrato lignocelulósico a base de aserrín de eucalipto en un 80%. Las mejores características se lograron en la cepa L. sp-01, determinándose al HMA, EMA como los medios de cultivo más adecuados con 9.25 y 9.23 mm/día a 25°C respectivamente. Los cuerpos furctiferos se obtuvieron después de una incubación de seis meses e inmersión en agua a temperatura ambiente (shock térmico) por 24 horas

Mobilizing Greater Crop and Land Potentials with Conservation Agriculture

The engine that supplies food and agricultural products is the way we farm. The current dominant engine of conventional tillage farming based on the Green Revolution agriculture mind-set is faltering and needs to be replaced to meet the Sustainable Development Goals (SDGs) and the future food and agricultural demands by consumers and society. This chapter elaborates on the alternate no-till Conservation Agriculture (CA) paradigm (involving no-till seeding in soils with mulch cover and in diversified cropping systems). This new paradigm of CA is able to raise productivity sustainably and efficiently, reduce inputs, regenerate degraded land, minimize soil erosion, and harness the flow of ecosystem services. CA is an ecosystems approach to regenerative farming which is capable of enhancing the economic and environmental performance of crop production and land management that can contribute to achieving several SDGs. The new CA paradigm also promotes a mind-set change of producing ‘more from less’ inputs, the key attitude needed to move towards sustainable production based on agro-ecological intensification of output. CA is spreading globally in all continents at an annual rate of around 10 M ha of cropland. The current (in 2015/16) spread of CA is approximately 180 M ha, of which 48% is located in the Global South. CA not only provides the possibility of increased crop yields and profit for the low input smallholder farmer, it also provides a pro-poor rural and agricultural development model to support sustainable agricultural intensification in low income countries in an affordable manner for poverty alleviation, food security and economic development. However, for SDGs to contribute real lasting value to the quality of human life and to nature, the current and future human and ethical consequences of the uncontrolled consumer demands and pressures placed upon agricultural production by the food and agriculture system as a whole must be addressed

Desarrollo micelial y formación de basidiomas de Pleurotus eryngii (DC.) Quél. Pleurotaceae, Basidiomycete

El objetivo del presente trabajo fue evaluar el desarrollo micelial e incremento de biomasa en diferentes medios de cultivo como Papa dextrosa (PDA), Extracto de Malta (EM), Bebida de Malta (BM), Harina de Maíz (HM) y Harina de Quinua (HQ) y en granos de trigo para la obtención del inoculo fúngico y formación de basidiomas. Se utilizaron indicadores como la Tasa de Crecimiento Diario (TCD) y el Incremento de Biomasa (IB) tomando en cuenta la TCD volumétrico (TCDv). El medio de cultivo casero con mejores resultados fue el basado en Harina de Maíz (HM), con una TCD de 9.79 mm/día y un incremento de biomasa de 0.1325 g en 8 días. Respecto al incremento de biomasa en granos de trigo, los mejores resultados se obtuvieron a una temperatura de incubación de 24 °C, con una TCDv de 1004 mm3/día. Los basidiomas se desarrollaron en granos de trigo alcanzando píleos de 3.2 – 9.2 cm de diámetro y estípite de 3 – 8 x 1.2 – 3.6 cm. los mismos que presentaron un alto contenido de proteínas (24.46 %), carbohidratos (53.14%) y fibra (27.8%)

Learning to Detect Bipolar Disorder and Borderline Personality Disorder with Language and Speech in Non-Clinical Interviews

Bipolar disorder (BD) and borderline personality disorder (BPD) are both chronic psychiatric disorders. However, their overlapping symptoms and common comorbidity make it challenging for the clinicians to distinguish the two conditions on the basis of a clinical interview. In this work, we first present a new multi-modal dataset containing interviews involving individuals with BD or BPD being interviewed about a non-clinical topic . We investigate the automatic detection of the two conditions, and demonstrate a good linear classifier that can be learnt using a down-selected set of features from the different aspects of the interviews and a novel approach of summarising these features. Finally, we find that different sets of features characterise BD and BPD, thus providing insights into the difference between the automatic screening of the two conditions