1,721,070 research outputs found
«Solo scrivere, ed essere madre»: la poesia di Simona Mancini [postfazione a Simona Mancini, Di madre nuda]
Presentazione della raccolta di esordio di Simona Mancini, incentrata sui temi della figliolanza (vulnerata dalla perdita del padre avvenuta quando l'autrice aveva 9 anni), della maternità, e della scrittura poetica come rifugio e cura del dolore
Entretien avec Huguette Dagenais, première directrice de la revue Recherches féministes
Cofondatrice et première directrice de la revue (printemps 1988 – automne 1997),
Huguette Dagenais répond aux questions de Marie-José des Rivières et Simona Mancini sur la
petite histoire des débuts de la revue, les appuis recherchés et obtenus, le travail
scientifique d’équipe et la magie de la collaboration interdisciplinaire féministe. On
mentionne, dans cet entretien, des sujets cruciaux tels que la langue, le choix des thèmes,
les approches et méthodes, certaines controverses, l’importance de la recherche empirique
et, enfin, plusieurs bons coups des dix premières années (l’humour, la beauté des pages de
couverture, la dimension internationale). L’entretien se termine par l’énoncé de certains
défis actuels et futurs, notamment la question de la mise en ligne de la revue.Co-founder and Director of the journal (from spring 1998 to autumn 1997), Huguette
Dagenais is interviewed by Marie-José des Rivières and Simona Mancini concerning the
journals’ initial history, the financial support received, the research work reported
therein, as well as the synergy due to interdisciplinary feminist collaboration. The
interview covers a variety of crucial issues encountered during the first ten years of the
magazine; language debates, themes, approaches and methods adopted, controversies faced, and
seminal research work, along with the various feminist "bons coups" (humour, cover page
design, international magnitude). The interview ends with a glimpse at present and future
challenges, among which the question of online publication
DECISION SUPPORT TOOLS FOR ECONOMIC RESOURCES ALLOCATION IN SEISMIC RETROFITTING OF BUILDINGS
A vast number of existing masonry and RC buildings in Italy is located in medium-to-high level seismic hazard regions and they are particularly vulnerable to earthquakes. Although strengthening interventions are urgent, resources are limited and seismic retrofitting the whole existing building stock is not practical. Thus, it is necessary to optimize the allocation of resources for strengthening interventions, taking into account the cost constrains and those variables connected to the repair and indirect costs, such as number of inhabitants, the priority and the size of the building, the vulnerability level. This work addresses the decision issue related to the optimal budget allocation for proactive strengthening actions on buildings located in seismic areas and reactive repair after an earthquake. The goal is to minimize the number of uninhabitable buildings considering their capacity in terms of residents. A two-stage stochastic model with recursions is used to perform the analyses, assuming to have a maximum cumulative budget which can be used for proactive (strengthening) and/or reactive (reconstruction) actions. The solution of this stochastic problem is compared with the solution of the problem where the budget is used only for reactive actions. The outcomes are presented and discussed with reference to a real case of a small town in Sicily
An effective mitigation strategy to hedge against absenteeism of occasional drivers
Companies can use occasional drivers to increase efficiency on last-mile deliveries. However, as occasional drivers are freelancers without contracts, they can decide at short notice whether they perform delivery requests. If they do not perform their tasks, this is known as driver absenteeism, which obviously disrupts the operations of companies. This paper tackles this problem by developing an auction-based system, including a mitigation strategy to hedge against the absenteeism of occasional drivers. According to this strategy, a driver can bid not only for serving bundles but also to act as a reserved driver. Reserved drivers receive a fee to ensure their presence but are not guaranteed to be assigned to a specific bundle. The problem is modeled as a two-stage stochastic problem with recourse activation. To solve this problem, this paper develops a self-learning matheuristic (SLM) and an iterated local search (ILS) that exploits SLM as a local search operator. Through an extensive computational study, this paper shows the clear dominance of the newly proposed approach in terms of solution quality, run times, and customers’ perceived quality of service compared against three different deterministic approaches. The Value of the Stochastic Solution, a well-known stochastic parameter, is also analyzed. Finally, the identikit of the perfect reserved driver, based on data observed in optimal solutions, is discussed
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
The Heterogeneous Fleet Vehicle Routing Problem with Draft Limits
Over the past two decades, international maritime transport has been characterized by the advent of ever larger ships. This phenomenon is known as naval gigantism. If, on the one hand, naval gigantism allows to reduce transport costs by exploiting the economies of scale achievable by large ships, on the other hand, it implies a series of operational issues. Indeed, due to their large draft, such giant vessels are not allowed to enter small ports when fully or near-fully loaded, and in some cases, they cannot enter such small ports at all. In fact, their draft can strongly vary depending on the load on board. This implies restrictions for vessels in accessing ports, which impact not only at the strategical level on the fleet sizing problem, but also at the tactical/operational level, on the sequence of port visits among each route. In fact, given a set of ports that a ship has to visit, determining the optimal sequence of visits becomes a very challenging issue, as the sequence that gives the shortest travel distance (i.e., the smallest travel cost) may prove infeasible due to draft limit restrictions for accessing ports. Furthermore, the same sequence of ports, which may be infeasible for a large ship, may become viable if operated by a smaller ship. On the other hand, due to the economy of scale, travel costs per load unit are generally much lower for large ships than for small ones. Therefore, the draft restrictions also affect the fleet sizing problem. In this paper, we introduce the Heterogeneous Fleet Vehicle Routing Problem with Draft Limits (HF-VRP-DL). We propose a mixed integer programming formulation and several valid inequalities to strengthen it. Since the mathematical model is able to handle only small-sized instances, to address larger instances we propose a Large Neighborhood Search matheuristic (LNS) and an Iterated Local Search matheuristic (ILS). Computational tests carried out show excellent performances of the proposed approach. Further analysis is provided on the impact of the instance layout on the computation time required to solve the problem to optimality
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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