3,549 research outputs found
I vent’anni della legge 328 del 2000 nella Penisola. Le trasformazioni del welfare locale
No full textLa Legge n. 328/2000 sul sistema integrato di interventi e servizi sociali ha avuto un rilievo fondamentale nei processi di sviluppo e di innovazione che il sistema dei servizi alla persona ha conosciuto in Italia negli ultimi due decenni. Nel ventennale della sua approvazione, un programma di lavoro condiviso tra Anci, Cittalia Fondazione Anci, Fondazione Ifel
e Dipartimento di Scienze della Formazione dell’Università Roma Tre si è posto l’obiettivo di analizzare in modo dettagliato l’impatto che la Legge ha avuto sulle recenti trasformazioni del sistema dei servizi sociali.
Il testo propone una serie di scritti che consentono di ripercorrere i passaggi che hanno scandito quel programma di lavoro, il cui momento conclusivo è stato il convegno Vent’anni della Legge n. 328/2000 nella Penisola: le trasformazioni del welfare locale organizzato il 13 novembre 2020, nell’ambito del quale sono stati presentati cinque documenti frutto di una analisi elaborata da gruppi di lavoro tematici (su minori e famiglia, anziani e non autosufficienza, disabilità, povertà e marginalità
estreme e politiche di integrazione)
The Photographs of Federico Pacini
No full textOn the photographic work of Federico Pacini, whose photographs illustrate the entire issue of the magazine
A Complete Characterization of “Optimum Accumulation” under Interest Rate Risk and Finite Horizon
No full textIn this paper we characterise the properties of the longitudinal path of consumption and wealth of an individual endowed with constant-relative-risk-aversion preferences and facing finite lifetime and lognormally distributed random returns on savings. In particular, we ana-lyse the role of the deep parameters of the model - i.e. degree of prudence, riskiness and the expected rate of return of capital- in shaping the characteristics of both the level and the rate of growth of consumption and wealth
An assessment of the impact of possible CAP reform scenarios on Romanian agriculture
No full textUsing a simplified model, with key-variable the prices of two different possible scenarios of CAP reform after 2013 (moderate and radical), this paper present a comparison between the price effects of implementation of each reform scenario at 2015 horizon on Romanian agriculture. This short analysis shows that, under the presented hypotheses, the net welfare effect, due to the price changes, for the selected products, is positive in both reform scenarios, yet greater in the case of the radical reform. Integrated in the large context of Romanian development, it seems that the influence of CAP reform upon agriculture and rural areas will be most likely a gradual one: an interpenetration between the two scenarios is foreseeable, starting with the moderate reform that will dominate the period around 2013, the reform measures acquiring a more radical character afterwards.CAP reform, Romania, welfare effects, Agricultural and Food Policy,
La legge come strumento di comunicazione politica: il caso della riforma sanitaria toscana
No full textRemotely Controlled Electronic Goalkeeper: An Example of Improving Social Integration of Persons with and without Disabilities
No full textSocial integration is an essential part of the life of every human being, but for people
with disabilities, there are many situations in which it is still very low. For instance, in sports and
outdoor gaming, there is a barrier between players with and without disabilities. Individuals with
disabilities play sports almost exclusively with disabled players, not only during official events such
as Paralympic games but also in occasional sports groups, while the mixing of people with and
without disabilities in sports activities is a key factor of social inclusion. In order to allow a person
with motor-skill impairments to play on the same ground as their non-disabled peers, we developed
a novel piece of Assistive Technology that lets a person with motor-skill impairments to control a
system acting as a goalkeeper during a non-professional football match, with approximately the same
performances as a goalkeeper without motor-skill impairments. This electro-mechanical system is
composed of a three-meter-long metal guideline and a human-shaped dummy sliding along it. The
system is equipped with a high-torque battery-powered direct-current motor and it is controlled
by means of electronic boards and sensors to ensure safety and good usability also for players with
severe mobility impairments. The results of a pilot testing demonstrated the robustness and high
degree of usability of the system, enabling people with motor-skill impairments to competitively
participate in matches with non-disabled peers
A Post-training Quantization Method for the Design of Fixed-Point-Based FPGA/ASIC Hardware Accelerators for LSTM/GRU Algorithms
No full textRecurrent Neural Networks (RNNs) have become important tools for tasks such as speech recognition, text generation, or natural language processing. However, their inference may involve up to billions of operations and their large number of parameters leads to large storage size and runtime memory usage. These reasons impede the adoption of these models in real-time, on-the-edge applications. Field-Programmable Gate Arrays (FPGAs) and Application-Specific Integrated Circuits (ASICs) have emerged as promising solutions for the hardware acceleration of these algorithms, thanks to their degree of customization of compute data paths and memory subsystems, which makes them take the maximum advantage from compression techniques for what concerns area, timing, and power consumption. In contrast to the extensive study in compression and quantization for plain feed forward neural networks in the literature, little attention has been paid to reducing the computational resource requirements of RNNs. This work proposes a new effective methodology for the post-training quantization of RNNs. In particular, we focus on the quantization of Long Short-Term Memory (LSTM) RNNs and Gated Recurrent Unit (GRU) RNNs. The proposed quantization strategy is meant to be a detailed guideline toward the design of custom hardware accelerators for LSTM/GRU-based algorithms to be implemented on FPGA or ASIC devices using fixed-point arithmetic only. We applied our methods to LSTM/GRU models pretrained on the IMDb sentiment classification dataset and Penn TreeBank language modelling dataset, thus comparing each quantized model to its floating-point counterpart. The results show the possibility to achieve up to 90% memory footprint reduction in both cases, obtaining less than 1% loss in accuracy and even a slight improvement in the Perplexity per word metric, respectively. The results are presented showing the various trade-offs between memory footprint reduction and accuracy changes, demonstrating the benefits of the proposed methodology even in comparison with other works from the literature
Essays in Honor of Carlo Casarosa
No full textThis volume is a collection of essays honoring Carlo Casarosa, presented at the “Giornata di studi in onore di Carlo Casarosa” held at the Department of Economics and Management at the University of Pisa in 2023. The event gathered colleagues and students for a strictly scientific meeting. The essays span five broad themes: Classical Economics, Public Finance, Labor Market, Market Functioning, and Consumption and Saving, reflecting Casarosa’s contributions to microeconomic and macroeconomic thought. The volume also includes the bibliography of Casarosa’s scientific work
Show Me Once: A Transformer-Based Approach for an Assisted-Driving System
No full textOperating a powered wheelchair involves significant risks and requires considerable cognitive effort to maintain effective awareness of the surrounding environment. Therefore, people with significant disabilities are at a higher risk, leading to a decrease in their social interactions, which can impact their overall health and well-being. Thus, we propose an intelligent driving-assistance system that innovatively uses Transformers, typically employed in Natural Language Processing, for navigation and a retrieval mechanism, allowing users to specify their destinations using natural language. The system records the areas visited and enables users to pinpoint these locations through descriptions, which will be considered later in the retrieval phase. Taking a foundational model, the system is fine-tuned with simulated data. The preliminary results demonstrate the system’s effectiveness compared to non-assisted solutions and its readiness for deployment on edge devices
- …
