Joko Sortzailea haur hezkuntzan: DBH-ko Marrazketa Teknikoko ikasleek, prozesu sortzailearen bidez sortutako Haur Hezkuntzarako jokoa

[eus] Lan honen ikerkuntza gaia sormena da. Ibilbide honetan, sormena ardatz eta oinarri hartuz, DBH-ko Marrazketa Teknikoko ikasleek Haur Hezkuntzako umeentzat bideratutako Formak jokoa asmatu dute. Bi erronka nagusi izan ditu lan honek: alde batetik, DBH-ko ikasleekin batera, aholkulari lanak eginez, jokoa eraikitzeko prozesu sortzaile bat aurrera eramatea. Bestetik, HH-ko umeentzat joko sortzaile bat formulatzea. Joko honen helburu nagusiena pertsona guztiengan existitzen den sormen gaitasuna bultzatzea, sustatzea eta garatzea izan delarik. Bidean azaldu diren erronkei aurre egin eta konponbidea topatzerako orduan, egilearen Haur zein Bigarren hezkuntzako hezitzaile perfil bikoitza ezinbesteko tresna izan da. Ikuspuntu bikoitz honek, sormenaren txertatzea hezkuntzako fase bakoitzari egokitzea ahalbidetu du, hezkuntza prozesu globala dela argi izanik.

San Francisco : a city reinvented by creative innovation

The aim of this paper is to analyse the recent evolution of the city of San Francisco to outline the major features that have made it possible this continuing process of creative innovation in the city. In order to meet this objective, the project is framed around answering two key research questions: (1) what are the main economic and social elements that characterise urban change in the city of San Francisco and (2) which is the role of public strategies in the continuing economic success of San Francisco. The paper concludes that the successful performance of San Francisco is the result of the actions taken by many agents in the city, but the role of public authorities, especially the City and County, must be stressed, both through direct intervention and by coordinating, fostering and supporting the private and non-profit sectors. This is especially relevant in a country like the US where private initiative has been seen in many occasions as the greatest driver of economic and social success. Yet, the performance of San Francisco City cannot be explained without the role played by the public sector, in coordination with the civil society

A Delphi Process to Optimize Quality and Performance of Drug Evaluation in Neonates

Background: Neonatal trials remain difficult to conduct for several reasons: in particular the need for study sites to have an existing infrastructure in place, with trained investigators and validated quality procedures to ensure good clinical, laboratory practices and a respect for high ethical standards. The objective of this work was to identify the major criteria considered necessary for selecting neonatal intensive care units that are able to perform drug evaluations competently. Methodology and Main Findings: This Delphi process was conducted with an international multidisciplinary panel of 25 experts from 13 countries, selected to be part of two committees (a scientific committee and an expert committee), in order to validate criteria required to perform drug evaluation in neonates. Eighty six items were initially selected and classified under 7 headings: "NICUs description - Level of care'' (21), "Ability to perform drug trials: NICU organization and processes (15), "Research Experience'' (12), "Scientific competencies and area of expertise'' (8), "Quality Management'' (16), "Training and educational capacity'' (8) and "Public involvement'' (6). Sixty-one items were retained and headings were rearranged after the first round, 34 were selected after the second round. A third round was required to validate 13 additional items. The final set includes 47 items divided under 5 headings. Conclusion: A set of 47 relevant criteria will help to NICUs that want to implement, conduct or participate in drug trials within a neonatal network identify important issues to be aware of. Summary Points: 1) Neonatal trials remain difficult to conduct for several reasons: in particular the need for study sites to have an existing infrastructure in place, with trained investigators and validated quality procedures to ensure good clinical, laboratory practices and a respect for high ethical standards. 2) The present Delphi study was conducted with an international multidisciplinary panel of 25 experts from 13 countries and aims to identify the major criteria considered necessary for selecting neonatal intensive care units (NICUs) that are able to perform drug evaluations competently. 3) Of the 86 items initially selected and classified under 7 headings - "NICUs description - Level of care'' (21), "Ability to perform drug trials: NICU organization and processes (15), "Research Experience'' (12), "Scientific competencies and area of expertise'' (8), "Quality Management'' (16), "Training and educational capacity'' (8) and "Public involvement'' (6) - 47 items were selected following a three rounds Delphi process. 4) The present consensus will help NICUs to implement, conduct or participate in drug trials within a neonatal network.

Implementation of the nursing process in a health area: models and assessment structures used

Objective: to analyze what nursing models and nursing assessment structures have been used in the implementation of the nursing process at the public and private centers in the health area Gipuzkoa (Basque Country). Method: a retrospective study was undertaken, based on the analysis of the nursing records used at the 158 centers studied. Results: the Henderson model, Carpenito's bifocal structure, Gordon's assessment structure and the Resident Assessment Instrument Nursing Home 2.0 have been used as nursing models and assessment structures to implement the nursing process. At some centers, the selected model or assessment structure has varied over time. Conclusion: Henderson's model has been the most used to implement the nursing process. Furthermore, the trend is observed to complement or replace Henderson's model by nursing assessment structures.

Virtual Sensors for On-line Wheel Wear and Part Roughness Measurement in the Grinding Process

Grinding is an advanced machining process for the manufacturing of valuable complex and accurate parts for high added value sectors such as aerospace, wind generation, etc. Due to the extremely severe conditions inside grinding machines, critical process variables such as part surface finish or grinding wheel wear cannot be easily and cheaply measured on-line. In this paper a virtual sensor for on-line monitoring of those variables is presented. The sensor is based on the modelling ability of Artificial Neural Networks (ANNs) for stochastic and non-linear processes such as grinding; the selected architecture is the Layer-Recurrent neural network. The sensor makes use of the relation between the variables to be measured and power consumption in the wheel spindle, which can be easily measured. A sensor calibration methodology is presented, and the levels of error that can be expected are discussed. Validation of the new sensor is carried out by comparing the sensor's results with actual measurements carried out in an industrial grinding machine. Results show excellent estimation performance for both wheel wear and surface roughness. In the case of wheel wear, the absolute error is within the range of microns (average value 32 mu m). In the case of surface finish, the absolute error is well below R-a 1 mu m (average value 0.32 mu m). The present approach can be easily generalized to other grinding operations.