187,004 research outputs found
"Cells communicate!" : book of abstracts of the Second CellFit Workshop 2019, Belgrade, Serbia 13-14 March, 2019
No full textBrevini T, Fazeli A, Gadella B, Ledda S, Mihailović M, Vidaković M, Jauković A, Kukolj T, editors. "Cells communicate!" : book of abstracts of the Second CellFit Workshop 2019; Belgrade, Serbia; 2019 Mar 13-14. Belgrade: Institute for Biological Research "Siniša Stanković"; Brussels: COST Action CA16119; 2019. 104 p
Tang-i Bulaghi Reports 3. Achaemenid and Post Achaemenid Remains at Sites TB76 and TB77
No full textThe final information on the three excavation seasons which the Irano-Italian Joitn Archaeological Mission carried out at Tang-e Bolaghi siets TB76 and TB77 are presented in this electronic journal dedicated to the joint archaeological expeditions for the Sivand Dam Archaeological rescue Project
sj-docx-1-pie-10.1177_09544089231212424 - Supplemental material for Sliding mode control of AUV trajectory tracking in the presence of disturbance
No full textSupplemental material, sj-docx-1-pie-10.1177_09544089231212424 for Sliding mode control of AUV trajectory tracking in the presence of disturbance by Mostafa Jalalnezhad and Sadegh Fazeli in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering</p
Towards a Trust-based Recommender for Social platforms
No full textFazeli, S., Drachsler, H., & Sloep, P. B. (2013, 19 June). Towards a Trust-based
Recommender for Social platforms. Presented in CWI (Centrum Wiskunde en Informatica), Amsterdam, The Netherlands.The presentation was given in a seminar session in IA group, CWI (Centrum Wiskunde en Informatica), June 19th.EU FP7 Open Discovery Space, NELL
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Molecular detection of grapevine leafroll-associated closteroviruses (GLRaVs) and the genome organisation of GLRaV-1 / by Claudia Fariba Fazeli.
No full textIncludes bibliography: (p. 96-104)vii, 104 p. : ill. (some col.) ; 30 cm.Thesis (Ph.D.) -- University of Adelaide, Dept. of Plant Science, 199
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe 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
Probabilistic analysis of bearing capacity of footings on unsaturated soils with non-stationary characteristics subjected to rainfall infiltration
No full textSoil-water characteristics, which vary with hydrological events such as rainfall, significantly influence soil strength properties. These properties are crucial determinants of the bearing capacity of foundations. Moreover, shear strength characteristics of soils are inherently spatially variable, and considering them as homogeneous parameters can result in unreliable design. This paper presents a probabilistic study of the two-dimensional bearing capacity of a strip footing on spatially random, unsaturated fine-grained soil using Monte Carlo simulation. The study employs the hydro-mechanical random finite difference method through MATLAB programming along with FLAC2D software. The undrained shear strength under saturated conditions is modelled as random fields using a log-normal distribution. The generated random values are then made depth-dependent by correlating them with matric suction. Initially, matric suction is assumed to be under a hydrostatic condition and decreases linearly with depth to zero at the groundwater level. Afterward, unsaturated soil is subjected to rainfall with different durations, resulting in the non-linear distribution of matric suction and, consequently, the mean value of undrained shear strength in depth. The results showed that rainfall infiltration impacts the strength characteristics of near-surface heterogeneous strata, leading to significant effects on the bearing capacity and failure mechanism of footing
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