128,425 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
Dispelling the Myths Behind First-author Citation Counts
No full textWe 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
Il castello di Zena (PC): storia, archeologia e archeometria
No full textLa storia costruttiva del castello di Zena (PC) determinata in base ai dati storici, archeologici e archeometrici
Friuli Venezia Giulia. Provincia di Udine. Attimis Castello di Partistagno, Magnano in Riviera, Castello di Prampero, Pulfero, Biacis Castello di Ahrensperg
No full textRendiconto degli scavi archeologici presso il Castello di Prampero, ove sono state individuate strutture relativi a costruzioni di servizio, palatium del castello di Partistagno, ove si sono indagati gli ambienti a e b in cui si sono individuati parti della pavimentazione, 3 focolari, fasi di frequentazione tardo rinascimentali, fasi di abbandono, castello di Ahrensperg: individuazione di parte del muro perimetrale del castell
[Halle (Saale), Universitäts- und Landesbibliothek Sachsen-Anhalt, Morbio 2 (87 b)]
No full textRozus de Castello und weitere genannte Personen, alle aus Oggiono, bestellen Redulfus, Abt des Klosters von Civate, zum Schiedsrichter in einem Streit mit Picinotus Maronus und weiteren genannten Personen um Gewässer.Handschrift DE-3, GND 2024680-8, Signatur: Morbio 2 (87 b)Überlieferungsart: kopialBeschreibstoff: PergamentErhaltungszustand: gutHandschriftUrkund
Il Castello di Malpaga, Contributi di ricerca e didattica
No full textIl castello colleonesco di Malpaga non è solo uno dei maggiori monumenti dell'alta pianura bergamasca, ma anche una significativa testimonianza del processo di formazione del paesaggio agrario. Il singolare palinsesto architettonico del castello, delle pertinenze e del borgo è originato dalla trasformazione in prestigiosa residenza signorile del fortilizio trecentesco acquistato nel 1456 da Bartolomeo Colleoni. Il volume mira a ricomporre in un disegno unitario i diversi contributi disciplinari, le ricerche condotte da ricercatori e docenti di tre università, di un laboratorio CNR, e le esercitazioni dei loro allievi che hanno avuto come oggetto di studio dal 1996 al 2007.
Organizzato attorno ad alcuni capisaldi (i dati documentali, i rilievi e le indagini diagnostiche, i problemi conservativi e di tutela, le ipotesi di utilizzo compatibili), la pubblicazione è stata arricchita nella parte finale con contributi sulla valorizzazione del complesso e gli aspetti gestionali di un possibile riuso
Il castello di Falconara: un antico maniero illuminato da una nuova funzione
No full textDopo un esame degli aspetti storici, architettonici e costruttivi del Castello viene proposta una nuova destinazione d'uso capace di conferire nuova luce al maniero
Some Essays on models in the Bond and Energy Markets
No full textThe term structure of interest rates plays a fundamental role as an indicator of economy and market trends, as well as a supporting tool for macroeconomic strategies, investment choices or hedging practices. Therefore, the availability of proper techniques to model and predict its dynamics is of crucial importance for players in the financial markets. Along this path, the dissertation initially examined the reliability of parametric and neural network models to fit and predict the term structure of interest rates in emerging markets, focusing on the Brazilian, Russian, Indian, Chines and South African (BRICS) bond markets. The focus on the BRICS is straightforward: the dynamics of their term structures make tricky the application of consolidated yield curve models. In this respect, BRICS yield curve act as stress testers. The study then examined how to apply the above cited models to energy derivatives, focusing the attention on the Natural Gas and Electricity futures, motivated by the existence of similarity. The research was carried out using ad hoc routines, such as the R package "DeRezende.Ferreira", developed by the candidate and now freely downloadable at the Comprehensive R Archive Network (CRAN) repository*, as well as by means of code written in MatLab 2021a - 2022a and Python (3.10.10) using the open-source Keras (2.4.3) library with TensorFlow (2.4.0) as backend. The dissertation consists of four chapters based on published and/or under submission materials. Chapter 1 is an excerpt of the paper • Castello, O.; Resta, M. Modeling the Yield Curve of BRICS Countries: Parametric vs. Machine Learning Techniques. Risks 2022
The work firstly offers a comprehensive analysis of the BRICS bond market and then investigates and compares the abilities of the parametric Five–Factor De Rezende–Ferreira model and Feed–Forward Neural Networks to fit the yield curves. Chapter 2 is again focused on the BRICS market but investigates a methodology to identify optimal time–varying parameters for parametric yield curve models. The work then investigates the ability of this method both for in–sample fitting and out–of–sample prediction. Various forecasting methods are examined: the Univariate Autoregressive process AR(1), the TBATS and the Autoregressive Integrated Moving Average (ARIMA) combined to Nonlinear Autoregressive Neural Networks (NAR–NN). Chapter 3 studies the term structure dynamics in the Natural Gas futures market. This chapter represents an extension of the paper • Castello, O., Resta, M. (2022). Modeling and Forecasting Natural Gas Futures Prices Dynamics: An Integrated Approach. In: Corazza, M., Perna, C., Pizzi, C., Sibillo, M. (eds) Mathematical and Statistical Methods for Actuarial Sciences and Finance. MAF 2022.
After showing that the natural gas and bond markets share similar stylized facts, we exploit these findings to examine whether techniques conventionally employed on the bonds market can be effectively used also for accurate in–sample fitting and out–of–sample forecast. We worked at first in–sample and we compared the performance of three models: the Four–Factor Dynamic Nelson–Siegel–Svensson (4F-DNSS), the Five–Factor Dynamic De Rezende–Ferreira (5F–DRF) and the B–Spline. Then, we turned the attention on forecasting, and explored the effectiveness of a hybrid methodology relying on the joint use of 4F–DNSS, 5F–DRF and B–Splines with Nonlinear Autoregressive Neural Networks (NAR–NNs). Empirical study was carried on using the Dutch Title Transfer Facility (TTF) daily futures prices in the period from January 2011 to June 2022 which included also recent market turmoil to validate the overall effectiveness of the framework.
Chapter 4 analyzes the predictability of the electricity futures prices term structure with Artificial Neural Networks. Prices time series and futures curves are characterized by high volatility which is a direct consequence of an inelastic demand and of the non–storable nature of the underlying commodity. We analyzed the forecasting power of several neural network models, including Nonlinear Autoregressive (NAR–NNs), NAR with Exogenous Inputs (NARX–NNs), Long Short–Term Memory (LSTM–NNs) and Encoder–Decoder Long Short–Term Memory Neural Networks (ED–LSTM–NNs). We carried out an extensive study of the models predictive capabilities using both the univariate and multivariate setting. Additionally, we explored whether incorporating various exogenous components such as Carbon Emission Certificates (CO2) spot prices,
as well as Natural Gas and Coal futures prices can lead to improvements of the models performances. The data of the European Energy Exchange (EEX) power market were adopted to test the models. Chapter 4 concludes.
____________________________ * https://cran.r-project.org/web/packages/DeRezende.Ferreira/index.htm
Pragmatic Case Studies as a Source of Unity in Applied Psychology
No full textTo unify or not to unify applied psychology: that is the question. In this article we review pendulum swings in the historical efforts to answer this question—from a comprehensive, positivist, “top-down,” deductive yes between the 1930s and the early 60s, to a postmodern no since then. A rationale and proposal for a limited, “bottom-up,” inductive yes in applied psychology is then presented, employing a case-based paradigm that integrates both positivist and postmodern themes and components. This paradigm is labeled “pragmatic psychology” and, its specific use of case studies, the “Pragmatic Case Study Method” (“PCS Method”). We call for the creation of peer-reviewed journal-databases of pragmatic case studies as a foundational source of unifying applied knowledge in our discipline. As one example, the potential of the PCS Method for unifying different angles of theoretical regard is illustrated in an area of applied psychology, psychotherapy, via the case of Mrs. B. The article then turns to the broader historical and epistemological arguments for the unifying nature of the PCS Method in both applied and basic psychology.Peer reviewe
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