Com donar resposta a la diversitat a l'aula

La diversitat és una característica de l'individu. Com podem atendre els alumnes a l'aula seguint les particularitats de cadascun?La diversidad es una característica del individuo. ¿Cómo podemos atender a los alumnos en el aula siguiendo las particularidades de cada uno de ellos?Diversity is a characteristic of the person. How can we best look after students in the classroom keeping track of the special characteristics of each of them

Com donar resposta a la diversitat a l'aula

La diversitat és una característica de l'individu. Com podem atendre els alumnes a l'aula seguint les particularitats de cadascun?La diversidad es una característica del individuo. ¿Cómo podemos atender a los alumnos en el aula siguiendo las particularidades de cada uno de ellos?Diversity is a characteristic of the person. How can we best look after students in the classroom keeping track of the special characteristics of each of them

Dataset on the mechanical and physical characterization of the Ecuadorian Guadua angustifolia kunth bamboo culms belonging to “Caña Mansa” biotype

This article presents a set of experimental data on the mechanical and physical properties of the Ecuadorian endemic bamboo species Guadua angustifolia kunth (Guadua a.k.), specifically the “Caña Mansa” biotype. The data on compressive, shear, tensile and bending strength, as well as the moisture content and density, were obtained by carrying out the corresponding tests following the ISO 22157:2019 standard. For this purpose, each bamboo culm examined was divided along its height into three sections that were thoroughly characterized. The equations used for the calculations of the mechanical and physical properties are described in detail for each test. Besides, the main mechanical properties of the characterized bamboo were compared to those of similar species reported in the literature. Property charts (compressive/tensile strength and modulus of rupture vs. density) were built to compare the Ecuadorian biotype evaluated with other classical and green materials by using appropriate software. These data give an insight into the valorization of natural structural materials harvested in the Americas for potential applications in different engineering fields, particularly for sustainable building

The EU and Central and Eastern Europe: the absence of inter-regionalism

In contrast to its relations with many other areas of the world, the EU's relations with Central and Eastern Europe are not 'interregional'. The EU has developed intensive bilateral relations with the Central and East European countries, which has allowed it to use economic and political conditionality to encourage them to undertake reforms — and successfully so. It has promoted sub-regional cooperation, but not consistently or extensively, and strong sub-regional groupings have not evolved in Central and Eastern Europe. The 'big-bang' enlargement of 2004 extended the EU's regional model to much of the European continent, but is not an example of interregionalism. The shadow of enlargement has also created considerable challenges for the EU in its relations with its new neighbours

Renationalizing or Regrouping? EU Foreign Policy Since 11 September 2001

This article considers whether the most recent phase of European foreign policy-making, since the atrocity of 11 September, has exposed fatal flaws in the EU's Common Foreign and Security Policy (CFSP), or whether it is too soon for dismissive judgements. It asks to what extent Member States have fallen back on their own resources, and to what extent there are signs of regrouping, so as to take the CFSP on to the next stage. It examines the main substantive challenges which have preoccupied Europe since 11 September, some of the key foreign policy issues which predated but then became complicated by it, and finally the more structural issues such as the European Security and Defence Policy (ESDP), the Convention on constitutional reform, and enlargement. It concludes that the current crisis is not rendering European foreign policy redundant, and that there continues to be the will, if not always the capacity, to produce collective action. Copyright Blackwell Publishing Ltd 2004.

Translating virome analyses to support biosecurity, on-farm management, and crop breeding

Virome analysis via high-throughput sequencing (HTS) allows rapid and massive virus identification and diagnoses, expanding our focus from individual samples to the ecological distribution of viruses in agroecological landscapes. Decreases in sequencing costs combined with technological advances, such as automation and robotics, allow for efficient processing and analysis of numerous samples in plant disease clinics, tissue culture laboratories, and breeding programs. There are many opportunities for translating virome analysis to support plant health. For example, virome analysis can be employed in the development of biosecurity strategies and policies, including the implementation of virome risk assessments to support regulation and reduce the movement of infected plant material. A challenge is to identify which new viruses discovered through HTS require regulation and which can be allowed to move in germplasm and trade. On-farm management strategies can incorporate information from high-throughput surveillance, monitoring for new and known viruses across scales, to rapidly identify important agricultural viruses and understand their abundance and spread. Virome indexing programs can be used to generate clean germplasm and seed, crucial for the maintenance of seed system production and health, particularly in vegetatively propagated crops such as roots, tubers, and bananas. Virome analysis in breeding programs can provide insight into virus expression levels by generating relative abundance data, aiding in breeding cultivars resistant, or at least tolerant, to viruses. The integration of network analysis and machine learning techniques can facilitate designing and implementing management strategies, using novel forms of information to provide a scalable, replicable, and practical approach to developing management strategies for viromes. In the long run, these management strategies will be designed by generating sequence databases and building on the foundation of pre-existing knowledge about virus taxonomy, distribution, and host range. In conclusion, virome analysis will support the early adoption and implementation of integrated control strategies, impacting global markets, reducing the risk of introducing novel viruses, and limiting virus spread. The effective translation of virome analysis depends on capacity building to make benefits available globally

Translating virome analyses to support biosecurity, on-farm management, and crop breeding

Virome analysis via high-throughput sequencing (HTS) allows rapid and massive virus identification and diagnoses, expanding our focus from individual samples to the ecological distribution of viruses in agroecological landscapes. Decreases in sequencing costs combined with technological advances, such as automation and robotics, allow for efficient processing and analysis of numerous samples in plant disease clinics, tissue culture laboratories, and breeding programs. There are many opportunities for translating virome analysis to support plant health. For example, virome analysis can be employed in the development of biosecurity strategies and policies, including the implementation of virome risk assessments to support regulation and reduce the movement of infected plant material. A challenge is to identify which new viruses discovered through HTS require regulation and which can be allowed to move in germplasm and trade. On-farm management strategies can incorporate information from high-throughput surveillance, monitoring for new and known viruses across scales, to rapidly identify important agricultural viruses and understand their abundance and spread. Virome indexing programs can be used to generate clean germplasm and seed, crucial for the maintenance of seed system production and health, particularly in vegetatively propagated crops such as roots, tubers, and bananas. Virome analysis in breeding programs can provide insight into virus expression levels by generating relative abundance data, aiding in breeding cultivars resistant, or at least tolerant, to viruses. The integration of network analysis and machine learning techniques can facilitate designing and implementing management strategies, using novel forms of information to provide a scalable, replicable, and practical approach to developing management strategies for viromes. In the long run, these management strategies will be designed by generating sequence databases and building on the foundation of pre-existing knowledge about virus taxonomy, distribution, and host range. In conclusion, virome analysis will support the early adoption and implementation of integrated control strategies, impacting global markets, reducing the risk of introducing novel viruses, and limiting virus spread. The effective translation of virome analysis depends on capacity building to make benefits available globally