1,722,761 research outputs found
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
Strumenti matematici per le decisioni finanziarie
Il volume è frutto della collaborazione tra i due autori ed è articolato ini cinque capitoli. I primi due, a cura del Prof. Ricci, trattano di temi di temi di matematica finanziaria classica. Gli altri tre, a cura della Prof. Torricelli, illustrano i modelli per le scelte in condizioni di incertezza, per le scelte di portafoglio ed il Capital Asset Pricing Model
Concern regarding classification of c.703G>A/p.Gly235Arg as a novel missense variant in KRIT1 gene
Quantitative analysis of Upper Jurassic Ellipsactinia limestones: examples from the Lazio-Abruzzi platform margin (Central Apennines, Italy)
An innovative distributed base-isolation system for masonry buildings: the reinforced cut-wall
The article reports the results of experimental tests conducted on an innovative masonry-building
seismic isolator, named "reinforced cut-wall". The system is simple to construct and inexpensive
to implement, yet delivers high static performance. It is made up of a layer of low load-bearing
capacity mortar and an underlying sheet of elastomer waterproofing interposed between the base
of the walls and the foundation head and reinforced by a series of vertical steel rods anchored to
both the wall and foundation by concrete castings. The experimental trials were conducted on pairs
of cellular blocks, 20x20x50 cm, separated by a 5 cm-thick layer of mortar and 3mm elastomer
sheathing; the rods used ranged from 8 to 12 mm in diameter. Such specimens were subjected to a
constant vertical force, simulating the actions of permanent in-service loads, and a cyclic history of
horizontal forces (max. 0.4 times the vertical load), representing an earthquake. Test results,
expressed as a series of hysteresis diagrams, reveal a high degree of energy dissipation,
attributable to the malt-elastomer joint, and efficient elastic recovery due to the reinforcing bars
which also furnish suitable vertical load-bearing capacity. Numerical analyses, conducted by
means of a rheological model calibrated with the help of the test results and applied to the case of a
simple masonry building, have confirmed the high-level performance of the proposed seismic
isolating system
What's Wrong in a Jump? Prediction and Validation of Splice Site Variants
Alternative splicing (AS) is a crucial process to enhance gene expression driving organ-ism development. Interestingly, more than 95% of human genes undergo AS, producing multiple protein isoforms from the same transcript. Any alteration (e.g., nucleotide substitutions, insertions, and deletions) involving consensus splicing regulatory sequences in a specific gene may result in the production of aberrant and not properly working proteins. In this review, we introduce the key steps of splicing mechanism and describe all different types of genomic variants affecting this process (splicing variants in acceptor/donor sites or branch point or polypyrimidine tract, exonic, and deep intronic changes). Then, we provide an updated approach to improve splice variants detection. First, we review the main computational tools, including the recent Machine Learn-ing-based algorithms, for the prediction of splice site variants, in order to characterize how a genomic variant interferes with splicing process. Next, we report the experimental methods to vali-date the predictive analyses are defined, distinguishing between methods testing RNA (tran-scriptomics analysis) or proteins (proteomics experiments). For both prediction and validation steps, benefits and weaknesses of each tool/procedure are accurately reported, as well as sugges-tions on which approaches are more suitable in diagnostic rather than in clinical research. © 2021 by the author. Licensee MDPI, Basel, Switzerland
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