130,617 research outputs found
On the complementarity between on-the-job training and R&D: a brief overview
No full textIn this paper I briefly review the existing literature on the complementarity between on-the-job training and R&D. I show that the complementarity is studied, on the one hand, within two lines of economic research, labour economics and endogenous growth. On the other hand, from the empirical point of view, some recent papers seem to confirm results of theoretical studies, by arguing that a specific training for R&D is quite often a crucial condition for adopting new technologies. I conclude that this issue is treated by different subsets of economic literature which need other improvements, and particularly, an integration
OPEN ACCESS DATA REPOSITORY OF LATE-PLEISTOCENE AND HOLOCENE PALEO-SHORELINES ALONG THE ANTARCTIC PENINSULA AND SOUTH SHETLAND ISLANDS COASTS
No full textZingaro M., Baroni C., Capolongo D., Mastro-nuZZi g., salvatore M.C., sCiCChitano g. & vaCChi M.,Open access data repository of Late-Pleistocene and Holocene paleo-shorelines along the Antarctic Peninsula and South Shetland Islands coasts. (IT ISSN 0391-9838, 2021).An improved understanding of the chronology of Antarctic ice sheet deglaciation since the Last Glacial Maximum (LGM) represents a fundamental tool to better define the origin of past and future meltwa-ter influx in the global oceans. Relict shorelines and other evidence of past Relative Sea Level (RSL) evolution were widely used to understand past ice sheet history and to improve predictions of climate-controlled sea level evolution. In the last decades, RSL data in the Antarctic region have been mostly produced using a wide range of geomorphic evidence such as beach and marine deposits, marine terraces and isolation ba-sins. However, the lack of a geographic common framework that in-cludes data derived from different sources, limits the accessibility to the information. Here we present a new cartographic approach to cre-ate an open access geodatabase of the postglacial paleo-shorelines by using a standard collecting pattern. Cartographic Antarctica Reposito-ry (CAR) includes RSL data along the coasts of the Antarctic Peninsula and South Shetland Islands. Results show the advantages to use CAR for integrating data and supporting spatial analyses, by representing an easy and usable tool for the improvement of shoreline evolution defini-tion and the planning of Antarctic coast investigations. CAR is dynam-ic repository project that will be further expanded on other Antarctic regions too, integrating fully into the wide reference context of the free access Antarctic datasets
Left ventricle outflow tract vegetation, embolism and troponin rise: An infective endocarditis case report
No full textCardiac contractility modulation in left ventricular systolic dysfunction: trick or treat?
No full text
Artificial Intelligence in Geomorphology: A Bibliometric Analysis of Trends, Techniques, and Global Research Patterns
No full textIn recent years, artificial intelligence has gained significant traction in Earth sciences, driving a shift from qualitative approaches to quantitative, data-driven methodologies. In geomorphology, artificial intelligence techniques are now applied at multiple scales and for diverse purposes, leveraging a wide spectrum of methods including supervised and unsupervised machine learning, regression algorithms, classification models, clustering techniques, neural networks, and dimensionality reduction. This study presents a structured bibliometric analysis of the scientific literature indexed in Scopus, analyzing over 2000 articles published between 1990 and 2024. Through a bibliometric approach, we explore temporal trends, the most commonly used artificial intelligence techniques, thematic domains, geographic patterns, and associated keywords. Results reveal the pervasive use of artificial intelligence in key geomorphological areas, particularly in fluvial, coastal, and erosional contexts, alongside the adoption of a rich variety of algorithms. The study also highlights the wide range of AI techniques applied in geomorphological research, spanning from traditional machine learning models to advanced neural architectures. This review provides a critical overview of the current landscape and outlines future directions to support more transparent, equitable, and integrated adoption of artificial intelligence in geomorphological research. The findings of this study are relevant to a wide range of stakeholders. Researchers and Ph.D. candidates can use the results to identify dominant thematic and methodological trajectories and detect underexplored areas. Data scientists and AI specialists may benefit from the mapped applications to implement advanced techniques in geomorphological contexts. The analysis also offers useful insights for funding agencies aiming to support strategic and equitable research development, particularly in underrepresented regions. Finally, journal editors and publishers may use emerging trends to inform the design of thematic issues and research priorities
Endocarditis in patients with aortic valve prosthesis: Comparison between surgical and transcatheter prosthesis
No full textThe interventional treatment of aortic stenosis is currently based on transcatheter aortic valve implantation/replacement (TAVI/TAVR) and surgical aortic valve replacement (SAVR). Prosthetic valve infective endocarditis (PVE) is the most worrisome complication after valve replacement, as it still carries high mortality and morbidity rate. Studies have not highlighted the differences in the occurrence of PVE in SAVR as opposed to TAVR, but the reported incidence rates are widely uneven. Literature portrays different microbiological profiles for SAVR and TAVR PVE: Staphylococcus, Ente-rococcus, and Streptococcus are the pathogens that are more frequently involved with differences regarding the timing from the date of the intervention. Imaging by means of transoesophageal echocardiography, and computed tomography (CT) Scan is essential in identifying vegetations, prosthesis dysfunction, dehiscence, periannular abscess, or aorto-ventricular discontinuity. In most cases, conservative medical treatment is not able to prevent fatal events and surgery represents the only viable option. The primary objectives of surgical treatment are radical debridement and the removal of infected tissues, the reconstruction of cardiac and aortic morphology, and the restoration of the aortic valve function. Different surgical options are discussed. Fast diagnosis, the adequacy of antibiotics treatment, and prompt interventions are essential in preventing the negative consequences of infective endocarditis (IE)
MeSH term explosion and author rank improve expert recommendations
No full textInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
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
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