1,721,232 research outputs found

    Cross-company vs. single-company web effort models using the Tukutuku database: An extended study

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    In 2004 [Kitchenham, B.A., Mendes, E., 2004a. Software productivity measurement using multiple size measures. IEEE Transactions on Software Engineering 30 (12), 1023-1035, Kitchenham, B.A., Mendes, E., 2004b. A comparison of cross-company and single-company effort estimation models for web applications. In: Proceedings Evaluation and Assessment in Software Engineering (EASE' 04), pp. 47-55] (S1) investigated, using data on 63 Web projects, to what extent a cross-company cost model could be successfully employed to estimate development effort for single-company Web projects. Their effort models were built using Forward Stepwise Regression (SWR) and they found that cross-company predictions were significantly worse than single-company predictions. This study S1 was extended by Mendes and Kitchenham [Mendes, E., Kitchenham, B.A., 2004. Further comparison of cross-company and within company effort estimation models for web applications. In: Proceedings International Software Metrics Symposium (METRICS'04), Chicago, Illinois, September 11-17th, 2004. IEEE Computer Society, pp. 348-357] (S2), who used SWR and Case-based reasoning (CBR), and data on 67 Web projects from the Tukutuku database. They built two cross-company and one single-company models and found that both SWR cross-company models and CBR cross-company data provided predictions significantly worse than single-company predictions. Since 2004 another 83 projects were volunteered to the Tukutuku database, and recently used by Mendes et al. [Mendes, E., Di Martino, S., Ferrucci, F., Gravino, C., in press. Effort estimation: How valuable is it for a web company to use a cross-company data set, compared to using its own single-company data set? In: Proceedings of International World Wide Web Conference (WWW'07), Banff, Canada, 8-12 May] (S3), who partially replicated Mendes and Kitchenham's study (S2), using SWR and CBR. They corroborated some of S2's findings (SWR cross-company model and the CBR cross-company data provided predictions significantly worse than single-company predictions) however they replicated only part of S2. The objective of this paper (S4) is therefore to extend Mendes et al.'s work and fully replicate S2. We used the same dataset used in S3, and our results corroborated most of those obtained in S2. The main difference between S2 and our study was that one of our SWR cross-company models showed significantly similar predictions to the single-company model, which contradicts the findings from S2. © 2007 Elsevier Inc. All rights reserved

    Feminist Economics today, beyond economic men

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    Il contributo utilizza la critica che l'economia femminista ha mosso all'homo oeconomicus per presentare le più recenti visioni dello sviluppo, del benessere e della felicità. Questi ultimi vengono, pertanto, analizzati in una nuova prospettiva che tiene conto di aspetti quali: i beni relazionali, la responsabilità sociale, il valore della cura, della collaborazione e del rispetto reciproco. A tal proposito, vengono presentati alcuni innovativi indici di sviluppo già adottati da vari Paesi volti a indirizzarne le proprie politiche e- conomiche e sociali verso la promozione del benessere dei propri cittadini

    Quantum systems with time-dependent boundaries

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    We present here a set of lecture notes on quantum systems with time-dependent boundaries. In particular, we analyze the dynamics of a non-relativistic particle in a bounded domain of physical space, when the boundaries are moving or changing. In all cases, unitarity is preserved and the change of boundaries does not introduce any decoherence in the system

    An Algebraic Approach To The Study of Multipartite Entanglement

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    We introduce a simple algebraic approach to the study of multipartite entanglement for pure states together with a class of suitable functionals able to detect the entanglement. On this basis, we reproduce some known results. Indeed, by investigating the properties of the introduced functionals, we show that a subset of such class is strictly connected to the purity. Moreover, we provide a direct and basic solution to the problem of simultaneous maximization of three appropriate functionals for three-qubit states, confirming that the simultaneous maximization of the entanglement for all possible bipartitions is compatible only with the structure of the GHZ states

    Can Large Language Models Automatically Generate GIS Reports?

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    Geographical Information Systems (GIS) are essential tools used for storing and performing analyses on spatio-temporal data. GIS reporting plays a crucial role in transforming the result of these analyses into actionable insights, enabling informed decision-making, by uncovering patterns and relationships and presenting them in a human-readable format suitable for the intended target audience. Nonetheless, the traditional process of creating reports involves manual analysis and interpretation of spatio-temporal data, a time-intensive task prone to human error. This paper aims to investigate the potential of Large Language Models (LLMs), particularly their natural language processing and generation abilities, to streamline the report generation process. To this end, three case studies are conducted, using the GPT-3.5 LLM to analyze real-world GIS data, extract key spatio-temporal insights and generate actionable, human-readable reports. The generated reports are then analyzed, to assess the model’s capacity for understanding complex spatio-temporal relationships and patterns and generating coherent reports. Results show that general-purpose LLMs can be remarkably effective in detecting spatio-temporal patterns and anomalies and in generating concise, effective human-readable reports. Despite this great potential, we also identify several key challenges of LLMs for GIS report generation, including a significant variability among different re-executions, a tendency to report incorrect data in some scenarios, and difficulty in understanding more complex spatial data such as polygons

    An intensive task-oriented circuit training positively impacts gait biomechanics in MS patients

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    BACKGROUND: An intensive task-oriented circuit training (TOCT) provides a valid approach in improving motor function in Multiple Sclerosis (MS). OBJECTIVE: We aimed at testing the efficacy of TOCT on gait kinematics in MS patients with mild-moderate disability. METHODS: Nineteen MS patients able of independent walking performed 3-D Gait Analysis before (T0) and after (T1) a two-week TOCT program. Patients were clustered in two different subgroups, according to clinical neurological impairments assessed with specific functional system of Expanded Disability Status Scale (EDSS): pyramidal (Group 1) and cerebellar (Group 2) subjects. Spatio-temporal and kinematic data were compared before and after the TOCT intervention in the total sample of patients and in the two selected subgroups at two time intervals. RESULTS: Data obtained revealed increased dynamic ROM at knee joint after training in the whole study sample. Of note, knee dynamic excursion improved significantly in Group 1 but not in Group 2 patients after TOCT. Moreover, sagittal plane kinematics revealed significant modifications on knee and ankle biomechanics in Group 1 after rehabilitation. CONCLUSIONS: These data point out the benefits of the task specific training on gait dynamics in mild impaired MS subjects, linking to treatment opportunity in patients with a prevalent pyramidal impairment

    An Efficient Synthesis of Oxiranyl oxazolines and Elaboration to Acyl Oxiranes

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    Deprotonation of oxazolinyl oxirane 1a with sec-BuLi/TMEDA at -100 °C in Et20 furnished oxazolinyl oxiranyllithium 1b, which could be trapped with electrophiles to give oxiranes 1c-g. The reaction of 1b with aldehydes produced diastereomers syn (2a-d) and anti (3a-d). Oxiranyllithium 1i from trans-1-oxazolinyl-2-p-tolyl epoxy ethane 1h was found to be configurationally stable while oxiranyllithium 1I, generated from the cis isomer 1k, was not. Oxazolinyl epoxides 1d, 1j and 1m could be deblocked to acyl oxiranes 5a-e through oxazolidines 4a-e

    A probabilistic based approach towards software system clustering

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    In this paper we present a clustering based approach to partition software systems into meaningful subsystems. In particular, the approach uses lexical information extracted from four zones in Java classes, which may provide a different contribution towards software systems partitioning. To automatically weigh these zones, we introduced a probabilistic model, and applied the Expectation-Maximization (EM) algorithm. To group classes according to the considered lexical information, we customized the wellknown K-Medoids algorithm. To assess the approach and the implemented supporting system, we have conducted a case study on six open source software systems. © 2010 IEEE
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