615 research outputs found
Necrológio de Victor Giudice: artimanhas ficcionais em tempos ditatoriais
No full textTese (doutorado) - Universidade Federal de Santa Catarina, Centro de Comunicação e Expressão. Programa de Pós-Graduação em Literatura.A presente tese tem como objetivo abordar as narrativas de Necrológio, obra inaugural de Victor Giudice, publicada em 1972, em sua relação com o período ditatorial brasileiro. Assim como outros artistas do contexto, o escritor se utiliza de estratégias para driblar a censura da ditadura militar. Com Necrológio, Giudice assume o papel de artífice de sua própria época através da carnavalização da temática da morte, uma protagonista da qual seus personagens se tornam simulacros. Através do fantástico e da metamorfose, o autor expõe personagens que são inquilinos de um universo desumanizado.The present thesis aims to approach Necrológio, Victor Giudice's inaugural book published in 1972, in its relations to Brazilian dictatorship. Victor Giudice, as many other artists in that context, uses strategies to trick censorship in the dictatorial period. With Necrológio, Giudice takes the role of artificer of his own time through the carnavalization of the thematic of death, the main protagonist of his book to which his characters function as simulacra. Through the fantastic and the matamorphosis, the author exposes characters that inhabit a deshumanized universe
A holistic time series-based energy benchmarking framework for applications in large stocks of buildings
No full textWith the proliferation of Internet of Things (IoT) sensors and metering infrastructures in buildings, external energy benchmarking, driven by time series analytics, has assumed a pivotal role in supporting different stakeholders (e.g., policymakers, grid operators, and energy managers) who seek rapid and automated insights into building energy performance over time. This study presents a holistic and generalizable methodology to conduct external benchmarking analysis on electrical energy consumption time series of public and commercial buildings. Differently from conventional approaches that merely identify peer buildings based on their Primary Space Usage (PSU) category, this methodology takes into account distinctive features of building electrical energy consumption time series including thermal sensitivity, shape, magnitude, and introduces KPIs encompassing aspects related to the electrical load volatility, the rate of anomalous patterns, and the building operational schedule. Each KPI value is then associated with a performance score to rank the energy performance of a building according to its peers. The proposed methodology is tested using the open dataset Building Data Genome Project 2 (BDGP2) and in particular 622 buildings belonging to Office and Education category. The results highlight that, considering the performance scores built upon the set of proposed KPIs, this innovative approach significantly enhances the accuracy of the benchmarking process when it is compared with a conventional approach only based on the comparison with the buildings belonging to the same PSU. As a matter of fact, an average variation of about 14% for the calculated performance scores is observed for a testing set of building
A performance-based incentive sharing mechanism for communities of residential end users leveraging an ontology-driven approach
No full textEnergy sharing, whether physical or virtual, is crucial for optimizing the use of locally generated renewable energy within communities of residential end users, including Renewable Energy Communities (RECs) and Collective Self-Consumption (CSC) groups. By sharing energy, participants can increase self-consumption of renewables while reducing reliance on the grid. To encourage participation, many frameworks provide economic incentives for shared energy, offering financial benefits to those who contribute to community energy goals. However, ensuring a fair allocation of both shared energy and its associated incentives remains a challenge. This study introduces a novel performance-based incentive-sharing mechanism that dynamically adjusts the allocation of economic benefits based on user ability to shift consumption in response to surplus availability. Different from traditional approaches, the mechanism integrates a dynamic baseline selection process with an ontology-driven metadata model, using SAREF and its domain-specific extensions to ensure interoperability and automation. This semantic framework enables scalable deployment across heterogeneous community configurations while reducing setup complexity. The process was tested over a seven-month period within a collective self-consumption group of 13 residential users who virtually share energy from a centralized PV system. Results show that users who adjusted their consumption to match surplus availability increased their daily incentives by up to 40% compared to a standard sharing mechanism, while those who performed below expectations experienced a corresponding decrease. These findings highlight the potential of structured data-driven approaches, supported by ontologies, to improve decision-making in community energy management
A Data-Driven Process for Optimal Incentive Sharing in Collective Self-Consumption Groups of Residential Users
No full textWith the widespread adoption of renewable energy systems in residential buildings, particularly in the context of collective self-consumption groups (CSC) and Renewable Energy Communities (REC), understanding user behavior becomes pivotal for enhancing energy efficiency and increasing the energy share among participants for an optimal use of renewable resources. Regardless of which configuration is adopted (CSC or REC), a key aspect is how to share the generated economic benefits from the self-produced energy and identify the fairest way to distribute the incentive derived from the shared energy among users. In this context, the aim of this work is to introduce a data-driven energy benchmarking process that leverages the analysis of long-term monitoring data of residential buildings to i) characterize energy consumption patterns of users over time, ii) support the development of an optimal incentive sharing mechanism among users involved in such legal entities. The proposed approach is tested on a monitored residential building, located in Northern Italy, which includes 13 flats and is equipped with a centralized photovoltaic system
Open surgery and endovascular techniques in treatment of acute abdominal arteriovenous fistulas
No full textAcute abdominal arteriovenous fistulas in the setting of ruptured abdominal aortic aneurysms are a life-threatening condition; thus, a prompt diagnosis is required for proper treatment. Open, endovascular, and hybrid repair have been proposed for their management, with pros and cons for each method. In particular, the evolution of endoluminal techniques guarantees an increasing feasibility of these procedures, and a significant reduction in morbidity and mortality rates was usually associated with open surgery. Nevertheless, some concerns still remain regarding the midterm and long-term follow-up. The aim of this article was to review and compare the reported clinical and technical results of conventional open surgery and endoluminal techniques in this scenario and to report the case of an acute aorto-iliac fistula due to a ruptured common iliac artery aneurysm into the iliac vein that was managed by endovascular repair at our institution
Procedimento di individuazione del diritto mediante confronto di interessi
No full textIl contributo mette in evidenza come nel diritto siano importanti i fattori di ordine sociale. Nell'ambito dell'interpretazione e dell'integrazione dell'ordinamento i fattori sociali aiutano il giudice a rendere oerante il diritto
Forme convenzionali e mutuo dissenso
No full textIl contributo analizza il problema delle forme convenzionali e la loro violazione di fronte alla quale il giudice deve accertare se la conclusione del contratto principale difforme non integri un mutuo dissenso del patto di forma con conseguente validità dell'operazione negoziale
Flow Cytometric Detection Of B-cell Membrane Markers CD5, CD11c, CD20, CD38 And CD49d May Predict Outcome In Chronic Lymphocytic Leukemia And Non-Hodgkin Lymphoma
No full textFlow cytometric detection of several B-cell membrane markers is becoming increasingly important
as prognostic factor in Chronic Lymphocytic Leukemia (CLL) and non-Hodgkin Lymphoma
(NHL). High expression of CD5 and CD20 has been reported to predict favourable outcome,
conversely high expression of CD38 and CD49d has been associated with poor prognosis as well as
the CD11c aberrant expression. We combined these five selected antigens in a new prognostic
index, and defined as favorable (FP) or unfavorable (UP) phenotype an immunophenotypic score
2, respectively.
We evaluated, for this immunophenotypic score, 46 patients (M/F: 25/21; median age: 76 years,
range 41-89) with CLL (n=34) or low-grade NHL (n=12). Twenty-two CLL patients (64.7%)
showed FP; according to Rai staging-system, 16 of them (72.7%) were in early-stage disease. Six
patients with FP received standard CLL chemotherapy, and 67% of them were chemosensitive.
Twelve CLL patients (35.3%) exhibited UP, uniformelly distributed in all disease stages; no one
was chemosensitive. Six NHL patients (50%) showed FP with a favourable response rate (complete
remission, CR, and partial remission, PR) of 100%; the others with UP were in advanced-stage of
disease and not attained the criteria needed for a CR or PR.
Our preliminary data suggest that this prognostic score based on CD5, CD11C, CD20, CD38 and
CD49d categorize unfavourable phenotype independently from Rai’s stages and may identify
patients with poor prognosis. These results require further validation in prospective larger studies
and may be an additional tool for routine workup of CLL and NHL patients
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