1,721,022 research outputs found
Il problema è come pensiamo al problema: Gestire le tensioni con il pensiero paradossale
No full textFeatures of top-rated gold open access journals: An analysis of the scopus database
No full textPurpose: The goal is to identify the features of top-rated gold open access (OA) journals by testing seven main variables: languages, countries, years of activity and years in the DOAJ repository, publication fee, the field of study, whether the journal has been launched as OA or converted, and the type of publisher. Sample: A sample of 1910 gold OA journals has been obtained by combining Scopus SJR 2012, the DOAJ, and data provided by previous studies ( Solomon, 2013). Method: We have divided the SJR index into quartiles for all journals' subject areas. First, we show descriptive statistics by combining quartiles based on their features. Then, after having converted the quartiles into a dummy variable, we test it as a dependent variable in a binary logistic regression. Contribute: This work contributes empirically to better understanding the gold OA efficacy of data analysis, which may be helpful in improving journals' rankings in the areas where this is still a struggle. Findings: Significant results have been found for all variables, except for the types of publishers, and for born or converted journals
Solid-state reaction induced by milling of a mixture of cobalt and boron powders
No full textA mixture of polycrystalline elemental cobalt and boron powders in the atomic ratio Co67B33 was mechanically milled for 150 h. The milled powders were examined by X-ray diffraction, extended X-ray absorption fine structure spectroscopy and differential scanning calorimetry. Two steps where energy was regulated by different full/void volume ratio in the vials were carried out. In the first milling step (f/v=1/1) amorphization involves only a portion of the starting powder and reaches a steady state after 25 h. More energetic conditions (f/v=1/5) lead to almost complete amorphization of the sample after 70 h, and in the final stages the formation of crystalline t-Co2B is observed. Then a steady state, in which both amorphous and crystalline phases coexist, is reached
IoT in the hospitality industry: exploring theoretical and practical implications
No full textTourism is currently undergoing a digital transition that is transforming it at a rapid pace. The
Internet of Things has the capability to completely revolutionise tourist experiences by allowing
visitors to connect digitally with local inhabitants via sensors and cameras linked to buildings
and devices throughout towns and neighbourhoods. The main aim of this chapter is to discuss
the IoT applications in the hospitality sector, as well as their organisational consequences. After
introducing a few basic ideas and terminologies, we discuss the growth of IoT in the tourism
ecosystem, tracing a few exemplary scenarios and identifying the important players. The focus
then shifts to the IoT's possibilities in the hospitality industry, where smart room design and
development are already underway. The Marriott case study analysis is presented in the
chapter's centre portion as trailblazing evidence of an important paradigm shift toward
ubiquitous smart services in high-end hotels. Finally, we discuss privacy concerns and the
theoretical and practical implications regarding the adoption of the IoT in hospitality
Data-driven journal meta-ranking in business and management
No full textRanking journals is a longstanding problem and can be addressed quantitatively, qualitatively or using a combination of both approaches. In the last decades, the Impact Factor (i.e., the most known quantitative approach) has been widely questioned, and other indices have thus been developed and become popular. Previous studies have reported strengths and weaknesses of each index, and devised meta-indices to rank journals in a certain field of study. However, the proposed meta-indices exhibit some intrinsic limitations: (1) the indices to be combined are not always chosen according to well-grounded principles; (2) combination methods are usually unweighted; and (3) some of the proposed meta-indices are parametric, which requires assuming a specific underlying data distribution. We propose a data-driven methodology that linearly combines an arbitrary number of indices to produce an aggregated ranking, using different techniques from statistics and machine learning to estimate the combining weights. We additionally consider correlations between indices and meta-indices, to quantitatively evaluate their differences. Finally, we empirically show that the considered meta-indices are also robust to significant perturbations of the values of the combined indices
Microemulsions: The Renaissance of Ferrite Nanoparticle Synthesis
No full textFerrite nanoparticles (NPs) are of special interest for a wide range of applications. Microemulsions represent the Renaissance of ferrite NP preparation offering a series of advantages with respect to other methods due the possibility to confine reactions into nanosized reactors. They allow the preparation in mild synthesis conditions of a wide variety of nanostructured ferrites with controlled composition, particle size and shape. This review wants to give a comprehensive overview of the microemulsion performance in the ferrite NP synthesis. Firstly, a general section on microemulsion properties is presented. The basics of NP formation mechanism, with a first-rate emphasis in the influence of microemulsion properties and dynamics on the control of NP size and shape, are addressed. A summary of the synthesis procedure evolution by both direct and reverse microemulsions over a selection of ferrite NPs is also provided in the review. Finally, the perspectives on microemulsion systems for ferrite NP preparation are quickly revised
Robotics4.NET: Software body for controlling robots
No full textAs hardware for robots is becoming widely available, better programming abstractions are needed to develop programs controlling robots. In the paper the Robotics4.NET, a framework to develop software aimed at controlling robots of different nature, is introduced. The whole framework is built around the notion of body, which is a software entity connecting the physical structure of the robot to the reasoning modules. The programming abstractions provided by the framework and their implementation are discussed. To validate this framework experiments were conducted on two robotics architectures: R2D2, a custom made robot equipped with a rich set of sensors and actuators; and ER1, an off-the-shelf, low cost, robotics platform available on-line
Increasing decoupling in a framework for programming robots
No full textRobots are becoming widely available and at affordable prices,
however we do not have a suitable software infrastructure for programming
them yet. A major issue in the field is software reuse: software for robots is
inherently tied to the underlying hardware that is difficult to share among
different platforms; nevertheless the software modules controlling hardware are
often responsible for tough tasks so that a driver-based approach does not fit
well the problem. We believe that the missing ability of reusing software in this
particular field is due to the way software is organized following a functional
decomposition of software modules. In this paper we present Robotics4.NET, a
framework for programming robots that takes a different approach at modelling
software modules in this domain. We discuss how our approach tends to
achieve better decoupling and dependence of the modules in the system, thus
making easier software reuse even on different robotic platforms
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