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MAIA Stroke Patients Interviews
No full textThe dataset contains the post-stroke patients’ and caregivers’ interviews carried out during the Horizon 2020 MAIA project to explore the impact of motor disability on their lives, previous experiences with assistive technologies, opinions, and attitudes about MAIA and their needs
Dataset related to the brief report "Building long-term vision for rural areas through Multi-actor Platform: a preliminary study in the Emilia-Romagna region"
No full textDeveloping long-term visions through participatory approaches can be very useful to explore different possible scenarios and pathways to reach desirable futures. This brief report describes a participatory process conducted in the Emilia-Romagna region (Italy) to develop a long-term vision for rural areas of 2040. This approach consisted in: (i) interviews and a focus group conducted with a Multi-actor Platform (MAP) composed of experts from science-society-policy sectors, (ii) an on-line questionnaire addressing a larger number of rural stakeholders of the region. Mixing expert-based consultation through the MAP with a more inclusive consultation approach, resulted to be an effective method to build long-term visions in the very heterogeneous rural context of the Emilia-Romagna. However, this study only constitutes a preliminary step into a more elaborated backcasting approac
DATASET COVID-19 (April-May 2020)
No full textData were collected by a consortium of partners (Università di Napoli Federico II, Università del Salento, Università di Torino, Università Cattolica Milano, SIPCO, Società Italiana di Psicologia di Comunità) coordinated by the University of Bologna to understand the psychosocial factors underlying civic and precautionary behaviour related to the COVID emergency; understanding the psychosocial impact of the emergency in terms of perspective on the future and the factors of resilience. Female = 69.5%; mean age = 39.82 ± standard deviation [SD] 14.25; range 18-84; two respondents were missing on this variable and were excluded from data analyses due to this. Of the participants, 32.3% had a high school diploma, 15.7% a bachelor’s degree, 24.3% a master’s degree, and 15.9% a post-degree title (e.g., post-graduate specialization, Ph.D.); only 3.9% of the respondents had a vocational diploma and 7.9% an education title lower than secondary school ones. Participants’ employment status was 46.5% employees (of which the majority were in smart working), 16.1% self-employed, 16.1% students, 4.9% researchers, 3.3% seasonal workers; 7.5% unemployed, and 6.1% retired; 2.8% of the respondents declared other occupations
REMODEL. WP2. Safety System Requirements And Performance Evaluation. T2.3. Performance Criteria and Performance Evaluation. Survey Initial Assessments of Application Performance. v0
No full textThe dataset contains anonymous and aggregated data related to the surveys for the initial assessment of application performance originated in the framework of REMODEL project, and presented in the deliverable “D2.3 – Initial assessments of application performance”
ConcePTION WP3 task 3.2. Isolation of porcine Mammary Epithelial Cells (pMECs). In vitro model for epithelial barrier
No full textThe present research aimed to develop a method for the isolation and culture of porcine Mammary Epithelial Cells (pMECs) to study mammary epithelial barrier in vitro. In agreement with the application of the 3Rs, porcine mammary gland tissues were collected at a local slaughterhouse and, after dissociation, the cells were isolated, cultured and characterized by morphology, cell cycle analysis and immunophenotyping. The ability to create a barrier was tested by TEER (Transepithelial/transendothelial electrical resistance) and the gene expression of genes related to drug transporters was evaluated by a PCR array. All the three pMECs cellular lines isolated are able to create a tight barrier and express the main ABC and SLC drug transporters confirming that the method of isolation is efficient to obtain primary pMECs lines to study epithelial barrier functions in the pig model. This activity was carried out as a part of Conception project (GA 821520)
Meta-analysis on LED grown tomato
No full textFile of the meta-analysis on LED grown tomato used in the publication:
Appolloni, E., Orsini, F., Pennisi, G., Gabarrell Durany, X., Paucek, I., & Gianquinto, G. (2021). Supplemental LED lighting effectively enhances the yield and quality of greenhouse truss tomato production: results of a meta-analysis. Frontiers in Plant Science, 12, 745. DOI: 10.3389/fpls.2021.59692
collegArti 1/2021
Get PDFIl volume collegArti 1/2021 raccoglie i contributi scritti dagli studenti dei Corsi di Laurea Magistrali in Arti Visive e AMaC nel corso del 2020, confermando un forte desiderio di coinvolgimento e di condivisione che la pandemia non ha sopito.
CollegArti, giunto al quarto anno di vita, prosegue nel suo ruolo di testimone delle molte iniziative organizzate dal Dipartimento delle Arti e dalla Fondazione Federico Zeri, adattandosi con grande flessibilità alle condizioni imposte dall’emergenza sanitaria e fotografando la ricca vita culturale del Dipartimento
REMODEL. WP5. T5_2_3. Combining Vision and Tactile Data for Cable Grasping
No full textThe dataset contains the visual results obtained from deformable linear objects (DLOs) grasping experiments performed in the framework of REMODEL project. These experiments were focused on properly combine vision and tactile data to locate a DLO and grasp it according to a required position and orientation. The robot is programmed to grasp a wire and bring it in front of a camera (intrinsic and extrinsic parameter of the camera needs to be known), then a picture is taken and using Ariadne+ is obtained the position of the wire not occluded by the gripper while the remaining part reconstructed by the tactile sensor. In the dataset are also included: (1) the data reading from the tactile sensor developed inside the REMODEL project provided by UCLV and used for these experiments; (2) the corresponding code used to reproduce the results (the executable is compatible with all the ROS’s compatible robot with the tactile sensor). More specific information about the method and the results can be found in the paper: A. Caporali, K. Galassi, G. Laudante, G. Palli and S. Pirozzi, "Combining Vision and Tactile Data for Cable Grasping", 2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2021, pp. 436-441, doi: 10.1109/AIM46487.2021.951744
The Italian Geography of Regional Resilience: The Role of Cooperative Firms
Get PDFWe investigate the economic resilience of the Italian regions between 2008 and 2019. We then calculate some indices of resistance as well as recovery for both real GDP per capita and employment. We show that during (and after) recessions such indices follow different patterns and the Southern regions perform worse than the rest of the country. Then we try to detect if and how the composition of employment relates to regional resilience. We show that the size of the cooperative employment improves the overall resilience of regional employment, especially during recoveries. We also show and explain that this is not the case with cooperative added value as related to the resilience of regional GDP. Overall, the cooperative movement seems to positively contribute to the resilience of regional economies, supporting an inclusive growth especially through the employment channel
Die Sprachbiographie einer Serbin in Berlin
Get PDFIn diesem Artikel wird durch die biographische und reflexive Methode der Sprachbiographien auf die Frage eingegangen, wie eine Migrantin aus Serbien im Laufe ihres Lebens Mehrsprachigkeit entwickelt und erlebt hat (vgl. zur Methode die Einleitung von Thüne in diesem Band). Ausgehend von einem Sprachenportrait wird veranschaulicht, inwiefern das Sprachrepertoire der Informantin ihre Migrationsgeschichte reflektiert. Der Fokus der Analyse wird auf den Prozess der Selbstkonstruktion und des Spracherlebens gelegt.
This study has been carried out as part of the MIUR Excellence Project DIVE-IN Diversity & Inclusion, conducted by the Department of Modern Languages, Literatures, and Cultures - Alma Mater Studiorum - Università di Bologna (iniziativa Dipartimenti di Eccellenza MIUR [L. 232 del 01/12/2016]