169,399 research outputs found
Otro título: Madre mora
No full textNota impresa en margen inferior: "2. Madre Mora / Prohibida la reproducción"Nota impresa al verso: "TARJETA POSTAL // Edición 1921 - D. Mullor Melilla
A C++-embedded Domain-Specific Language for programming the MORA soft processor array
No full textMORA is a novel platform for high-level FPGA programming of streaming vector and matrix operations, aimed at multimedia applications. It consists of soft array of pipelined low-complexity SIMD processors-in-memory (PIM). We present a Domain-Specific Language (DSL) for high-level programming of the MORA soft processor array. The DSL is embedded in C++, providing designers with a familiar language framework and the ability to compile designs using a standard compiler for functional testing before generating the FPGA bitstream using the MORA toolchain. The paper discusses the MORA-C++ DSL and the compilation route into the assembly for the MORA machine and provides examples to illustrate the programming model and performance
Carta de Ricardo de la Mora a Pedro Dorado Montero
No full textCarta de D. Ricardo de la Mora, antiguo alumno, a D. Pedro Dorado Montero, agradeciéndole su felicitación
MORA - an architecture and programming model for a resource efficient coarse grained reconfigurable processor
No full textThis paper presents an architecture and implementation details for MORA, a novel coarse grained reconfigurable processor for accelerating media processing applications. The MORA architecture involves a 2-D array of several such processors, to deliver low cost, high throughput performance in media processing applications. A distinguishing feature of the MORA architecture is the co-design of hardware architecture and low-level programming language throughout the design cycle. The implementation details for the single MORA processor, and benchmark evaluation using a cycle accurate simulator are presented
MARGINAL PRODUCTIVITY INDEX POLICIES FOR SCHEDULING A MULTICLASS DELAY-/LOSS-SENSITIVE QUEUE
No full textWe address the problem of scheduling a multiclass M/M/1 queue with a finite dedicated buffer for each class. Some classes are delay-sensitive, modeling real-time traffic (e.g. voice, video), whereas others are loss-sensitive, modeling nonreal-time traffic (e.g. data). Different levels of tolerance to delay and loss are modeled by appropriate linear holding cost and rejection cost rates. The goal is to design well-grounded and tractable scheduling policies which nearly minimize the discounted or long-run average expected cost objective. We develop new dynamic index policies, prescribing to give higher service priority to classes with larger index values, where the priority index of a class measures the marginal productivity of work at its current state. To construct the indices, we deploy the theory of marginal productivity indices (MPIs) and PCLindexability we have introduced in recent work, and further introduce significant extensions to such theory motivated by phenomena observed in the model of concern. The MPI policies are shown to furnish new, insightful structural results, and to exhibit a nearly optimal performance in a computational study.
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
Convergence of equilibria of thin elastic plates under physical growth conditions for the energy density
No full textThe asymptotic behaviour of the equilibrium configurations of a thin elastic plate is studied, as the thickness of the plate goes to zero. More precisely, it is shown that critical points of the nonlinear elastic functional converge to critical points of the Γ-limit. This is proved under the physical assumption that the energy density blows up as the determinant of the deformation gradient becomes infinitesimally small
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
How to Measure Consumers Acceptance Towards Edible Insects? – A Scoping Review About Methodological Approaches
No full textIn recent years there has been a growing number of studies analysing consumer acceptance, preferences, choices and willingness to pay for insects and insect-based products as food.
The aim of this chapter is to draw conclusions from existing literature published in scientific journals about the overall state of research activity on consumer attitude and behaviour towards entomophagy.
A scoping review was conducted by searching electronic databases for relevant articles using a determined key-terms search strategy. The starting dataset (n = 1366) was screened and analysed by the authors and a total of 102 articles were included in the review.
Findings highlight how a large number of researchers worldwide have investigated the potential drivers and benefits motivating consumers to accept insect and insect-based products as food as well as the main barriers that prevent individuals from consuming them.
The main themes that emerged are linked to: (1) the type of insect species and studies performing sensory tasting sessions, specifically those comparing specific species types (e.g. crickets, fried grasshoppers) to general/vague names (i.e. willingness to consume insects or insect-based product); (2) psycho-social and attitudinal variables like intention to eat, willingness to try, familiarity, food neophobia, emotional experiences, willingness to eat and overall entomophagy acceptance; (3) information treatment about entomophagy (e.g. benefits/risks of eating insects); (4) socio-demographic variables like differences in culture/country of origin (i.e. cross-country studies), gender, age and others.
A summary of the included records analysed as well as recommendations for future studies on how to develop research on consumer behaviour towards edible insect as food are explored
Cost effectiveness of R&D and strategic trade policy
No full textThis paper analyzes the incentives for governments to impose export subsidies when firms invest in a cost saving technology before market competition. Governments first impose an export subsidy or a tax. After observing export policy, firms invest in cost reducing R&D and
subsequently compete in the market. Governments subsidize exports under Cournot
competition. Under Bertrand competition, export subsidies are positive whenever R&D is
sufficiently cost-effective at reducing marginal costs, and negative otherwise. The trade policy reversal found in models without endogenous sunk costs disappears if R&D is sufficiently cost-effective. Thus, output subsidies seem more robust than implied by the recent literature
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