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IL VANGELO SECONDO JOSÉ SARAMAGO. Una prospettiva politico-letteraria dell’opposizione
[The Gospel according to José Saramago. A political-literary outlook of the opposition] Can literature form the basis of a politically oriented theory of opposition, capable of leading humanity to emancipation? This is what we try to do in this essay starting from the work of José Saramago
SPARTEVs. Steroid hormones levels produced by cumulus cells in response to seminal extracellular vesicles subsets during in vitro maturation of porcine oocytes
Extracellular vesicles (EVs), defined as membrane-delimited nanoparticles (30-to-1000 nm), have emerged as essential cell-to-cell messengers, modulating several physio and pathological processes. Based on differences in size and biogenesis pathways, EVs released by functional cells are categorized into exosomes (small EVs) and microvesicles (large EVs). These EVs has been isolated from all reproductive fluids, including seminal plasma (SP), a complex fluid secreted mainly from accessory sexual glands that modulates sperm function and female reproductive tract immune environment. In pigs, SP has been found to modulate the ovary function, in terms of hormone secretion. This study investigated the effect of two seminal EVs subsets (small (S-EVs) and large (L-EVs) on cumulus cells during in vitro maturation (IVM) of porcine cumulus-cell-complexes COCs), in terms of steroid synthesis. This dataset contains the raw data of steroid hormones (progesterone and estradiol-17β) levels assessed in the IVM spent media when porcine COCs were IVM in presence of both seminal EVs-subsets at different concentrations (Low: 0.1 mg/mL; High: 0.2 mg/mL; as total protein concentration). The steroid hormones were assessed after 22 h and 44 h of IVM in the IVM spent media by radioimmunoassay
Extended beta models for poverty mapping. An application integrating survey and remote sensing data in Bangladesh
The paper targets the estimation of the poverty rate at the Upazila level in Bangladesh through the use of Demographic and Health Survey (DHS) data. Upazilas are administrative regions equivalent to counties or boroughs whose sample sizes are not large enough to provide reliable estimates or are even absent. We tackle this issue by proposing a small area estimation model complementing survey data with remote sensing information at the area level. We specify an Extended Beta mixed regression model within the Bayesian framework, allowing it to accommodate the peculiarities of sample data and to predict out-of-sample rates. In particular, it enables to include estimates equal to either 0 or 1 and to model the strong intra-cluster correlation. We aim at proposing a method that can be implemented by statistical offices as a routine. In this spirit, we consider a regularizing prior for coefficients rather than a model selection approach, to deal with a large number of auxiliary variables. We compare our methods with existing alternatives using a design-based simulation exercise and illustrate its potential with the motivating application
PLUS.WP3 Taxation and governance for platform economy
The analysis conducted focuses on the taxation framework for platforms in European law and the Member States laws within which the empirical analysis of the PLUS project is conducted, within the international setting. The materials used for the theoretical basis and the economic and financial data were divided into two files. All materials are collected in a ODS format.
In the sources document, the first sheet of the dataset reports the national, European and international sources with the corresponding links.
The second sheet aims to framing the different policies of taxation of platform economy at urban level. It includes data related to at municipal budget for each of the 7 cities involved in PLUS project (Berlin, Bologna, Barcelona, Lisbon, London, Paris, Tallin).
The dataset is composed exclusively by document on institutional websites of the municipal authorities involved in each city.
The third sheet refer to the Airbnb case study for specific municipal initiatives.
In addiction we include a second document with the list of the essays and institutional researches that constitute the literature references used, and include:
• Eurostat and OECD open data.
• Existing scientific articles and grey literature (e.g., reports from other research projects).
These materials are collected in a ODS file
PLUS.WP4 MOOC
The PLUS project developed a Massive Open Online Course engaging many partners involved in different Work Packages.
The PLUS MOOC is an online course where all the main scientific results of the PLUS project are synthetically elaborated for a wide and heterogeneous public.
The materials (texts) used for the recording of every single lesson are divided in specific files. All materials are collected in ODT format.
The course is organized around four weeks of lessons and a general introduction.
The videos of the Massive Open Online Course are available here: https://book.unibo.it/courses/course-v1:Unibo+PLUS101+2022_E1/abou
PLUS.WP7 Sopolabs.Estonia
The dataset consists of summaries of the two social policy laboratory (Sopolab) sessions conducted in Tallinn. The goal of the labs was to engage variety of stakeholders and to trigger a debate on problems, challenges and possible policy solutions related to platform work, including to disseminate PLUS results and to produce shared policy proposals and disseminate best practices.
“PLUS_16E_PLUS.WP7 Tallinn Sopolabs_Labour_20220509” gives an overview of the local level SoPo lab on the topic "Labour Rights and organization in Platform Economy” that took place 6 November 2020. Several stakeholders engaged with platform economy were recruited to discuss issues related to labour organization and platform workers’ rights in the context of COVID19 pandemic.
“PLUS_16E_PLUS.WP7 Tallinn Sopolabs_Welfare_20220509” gives an overview of the local level SoPo lab on the topic “How to innovate Welfare for Platform Workers” that took place in two parts: 16 December 2021 and 29 December 2021. It aimed to identify practical initiatives that can be taken to extend welfare and social security coverage for platform workers
DISTAL informa Ottobre 2022
Bollettino di informazione che raccoglie eventi, notizie, articoli e attività del DISTAL. A cura dell'Area Comunicazione DISTA
REMODEL. WP3. User And System Interface. T3_4. Teaching By Demonstration Of Skills For New Assembly References And Tasks. Augmented Kinesthetic Teaching. v0
The datasets contain the data related to an augmented kinesthetic teaching system, which is based on surface electromyographic (sEMG) measurements from the operator forearm. Specifically, sEMG signals are used for minimal-training unsupervised estimation of forearm's muscles co-contraction level. In this way, also exploiting a vibrotactile bio-feedback, we evaluate the ability of operators in stiffening their hand - during kinesthetic teaching - in order to modulate the estimated level of muscle co-contraction to (i) match target levels and (ii) command the opening/closing of a gripper, i.e. in exploiting their sEMG signals for effective augmented robot kinesthetic teaching tasks. The data are related to the publication:
R. Meattini, D. Chiaravalli, L. Biagiotti, G. Palli and C. Melchiorri, "Combining Unsupervised Muscle Co-Contraction Estimation With Bio-Feedback Allows Augmented Kinesthetic Teaching," in IEEE Robotics and Automation Letters, vol. 6, no. 4, pp. 6180-6187, Oct. 2021, doi: 10.1109/LRA.2021.3092269
REMODEL. WP3. User And System Interface. T3_7. Teaching By Demonstration Of Skills For New Assembly References And Tasks. sEMG based regression of hand grasping motions. v0
The dataset contain the data related to a novel sEMG-based minimally supervised regression approach capable of performing nonlinear fitting without the necessity for point-by-point training data labelling, exploiting a differentiable version of the Dynamic Time Warping (DTW) similarity – referred to as soft-DTW divergence – as loss function for a flexible neural network architecture. This is a different paradigm with respect to state-of-the-art approaches in which sEMG-based control of robot hands is mainly realized using supervised or unsupervised machine learning based regression. The data are presented in the publication:
R. Meattini, A. Bernardini, G. Palli and C. Melchiorri, "sEMG-Based Minimally Supervised Regression Using Soft-DTW Neural Networks for Robot Hand Grasping Control," in IEEE Robotics and Automation Letters, vol. 7, no. 4, pp. 10144-10151, Oct. 2022, doi: 10.1109/LRA.2022.3193247
REMODEL. WP3. User And System Interface. T3_3. Teaching By Demonstration Of Skills For New Assembly References And Tasks. Human to robot hand motion mapping method. v0;
The datasets contain the data related to a novel hybrid approach that combines both joint and Cartesian mappings in a single solution. In particular, we exploit the a priori, in-hand information related to the areas of the workspace in which thumb and finger fingertips can get in contact. This allows to define, for each finger, a zone of transition from joint to Cartesian mapping. As a consequence, both hand shape during volar grasps and correctness of the fingertip positions for precision grasps are preserved, despite the master-slave kinematic dissimilarities. The data are related to the publication:
R. Meattini, D. Chiaravalli, G. Palli and C. Melchiorri, "Exploiting In-Hand Knowledge in Hybrid Joint-Cartesian Mapping for Anthropomorphic Robotic Hands," in IEEE Robotics and Automation Letters, vol. 6, no. 3, pp. 5517-5524, July 2021, doi: 10.1109/LRA.2021.3078658