1,721,275 research outputs found
Homogenization of instrumental time series of air temperature in Central Italy (1930−2015)
ong-term and high quality instrumental air temperature data are important for reducing the uncertainty of past temperature trends at local and global scales, and for the projection of future expected changes. Currently this type of data is limited in the Mediterranean, which is particularly important since this region is considered a hot spot for climate change. To cover the data gap for Central Italy, a set of territorially dense long-term time series of temperature data covering different climate areas in the Abruzzo region is presented in this work. Due to the possible presence of inhomogeneities (non-climatology irregularities in the data set), a homogenization process was applied to the data. Monthly maximum and minimum temperatures measured at 22 stations were homogenized for the period 1930-2015 using the software HOMER v.2.6. All stations had at least 1 break in the time series, for a total of 89 and 80 inhomogeneities identified in the maximum and minimum temperature series, respectively. The annual amplitude of breaks in the annual series ranged between 0-4.44 degrees C for the maximum temperatures and 0.01-3.75 degrees C for the minimum temperatures. The trend of annual mean temperatures showed increasing temperatures at a regional level starting in the early 20th century, with a greater rate especially after 1980 (0.060 degrees C yr(-1)). The temperature trends, analysed in 3 different intervals (1930-1979, 1950-2015 and 1980-2015) for the 22 time series, demonstrate a slight increase in the rate of warming in the coastal and hilly area during the period 1930-1979 and highlight the importance of local measurements
Spatial Reasoning and GIS in Linguistic Prehistory. Two Case Studies from Lower Fungom (Northwest Cameroon)
Being an ontologically multidisciplinary topic, language change is among the best candidates to be addressed using Geographic Information Systems (GIS). GIS can integrate datasets from diverse disciplines along with real-world geographical information, hence facilitating the investigation of (i) the spatial relations existing between research items and (ii) (past) landscapes. Drawing from an ongoing project focused on the historical development of the extremely diverse linguistic situation documented in the Lower Fungom region (Northwest Cameroon), this article explores the possibility of placing authentic interdisciplinary research pivoting on linguistic issues within a GIS framework
Una coltura molto antica: il cotone in Mali
Convinti che sia impossibile parlare del sottosviluppo in modo astratto e generalizzato, senza affrontare anche l’analisi di singole realtà, con le loro particolarità e diversità, lo studio della coltura del cotone in Mali ha inteso analizzare un caso concreto per meglio comprendere perché alcune regioni siano ancora profondamente immerse nella povertà, mentre altre siano giunte alla soglia di un discreto benessere
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
Diffusion modeling of COVID-19 under lockdown
Viral immune evasion by sequence variation is a significant barrier to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine design and coronavirus disease-2019 diffusion under lockdown are unpredictable with subsequent waves. Our group has developed a computational model rooted in physics to address this challenge, aiming to predict the fitness landscape of SARS-CoV-2 diffusion using a variant of the bidimensional Ising model (2DIMV) connected seasonally. The 2DIMV works in a closed system composed of limited interaction subjects and conditioned by only temperature changes. Markov chain Monte Carlo method shows that an increase in temperature implicates reduced virus diffusion and increased mobility, leading to increased virus diffusion
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
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