Fernando O. Gallego  Rafael Corchuelo 《Software》2020,50(1):47-64

Aspect-based sentiment analysis systems are a kind of text-mining systems that specialize in summarizing the sentiment that a collection of reviews convey regarding some aspects of an item. There are many cases in which users write their reviews using conditional sentences; in such cases, mining the conditions so that they can be analyzed is very important not to misinterpret the corresponding sentiment summaries. Unfortunately, current commercial systems or research systems neglect conditions; current frameworks and toolkits do not provide any components to mine them; furthermore, the proposals in the literature are insufficient because they are based on handcrafted patterns that fall short regarding recall or machine learning procedures that are tightly bound with a specific language and require too much configuration. In this article, we present Torii, which is a system that loads a collection of reviews, discovers the aspects on which they report, and summarizes the sentiment that is conveyed on them taking into account the existing conditions, if any. We also describe its architecture, our approach to mine conditions, and our experimental analysis on a large multilingual data set with reviews from multiple categories. To the best of our knowledge, Torii is the first proposal that addresses aspect-based sentiment analysis taking conditions into account.  相似文献   

    

Patricia Jiménez  Juan C. Roldán  Fernando O. Gallego  Rafael Corchuelo 《Software》2020,50(12):2169-2192

RDFa, JSON-LD, Microdata, and Microformats allow to endow the data in HTML files with metadata tags that help software agents understand them. Unluckily, there are many HTML files that do not have any metadata tags, which has motivated many authors to work on proposals to synthesize them. But they have some problems: the authors either provide an overall picture of their designs without too many details on the techniques behind the scenes or focus on the techniques but do not describe the design of the software systems that support them; many of them cannot deal with data that are encoded using semistructured formats like forms, listings, or tables; and the few proposals that can work on tables can deal with horizontal listings only. In this article, we describe the design of a system that overcomes the previous limitations using a novel embedding approach that has proven to outperform four state-of-the-art techniques on a repository with randomly selected HTML files from 40 different sites. According to our experimental analysis, our proposal can achieve an F₁ score that outperforms the others by 10.14% ; this difference was confirmed to be statistically significant at the standard confidence level.  相似文献   

    

Michail J. Beliatis  Martin Helgesen  Rafael García‐Valverde  Michael Corazza  Bérenger Roth  Jon E. Carlé  Mikkel Jørgensen  Frederik C. Krebs  Suren A. Gevorgyan 《Advanced Engineering Materials》2016,18(8):1494-1503

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Mohamed El Garah  Arezoo Dianat  Andrea Cadeddu  Rafael Gutierrez  Marco Cecchini  Artur Ciesielski  Peter J. Stang  Gianaurelio Cuniberti  Paolo Samorì 《Small (Weinheim an der Bergstrasse, Germany)》2016,12(3):343-350

A joint experimental and computational study is reported on the concentration‐dependant self‐assembly of a flat C₃‐symmetric molecule on a graphite surface. As a model system a tripodal molecule, 1,3,5‐tris(pyridin‐3‐ylethynyl)benzene, has been chosen, which can adopt either C_3h or C_s symmetry when planar, as a result of pyridyl rotation along the alkynyl spacers. Density functional theory (DFT) simulations of 2D nanopatterns with different surface coverage reveal that the molecule can generate different types of self‐assembled motifs. The stability of fourteen 2D patterns and the influence of concentration are analyzed. It is found that ordered, densely packed monolayers and 2D porous networks are obtained at high and low concentrations, respectively. A concentration‐dependent scanning tunneling microscopy (STM) investigation of this molecular self‐assembly system at a solution/graphite interface reveals four supramolecular motifs, which are in perfect agreement with those predicted by simulations. Therefore, this DFT method represents a key step forward toward the atomically precise prediction of molecular self‐assembly on surfaces and at interfaces.  相似文献   

    

Vizguerra-Morales  Pablo  Vázquez-Castillo  José Antonio  Romero-Toledo  Rafael  Aguilera-Alvarado  Alberto Florentino  Ponce-Ortega  José María 《Clean Technologies and Environmental Policy》2016,18(5):1599-1609

Clean Technologies and Environmental Policy - This paper presents an optimization formulation and a computational fluid dynamic study for a new proposal of a rustic oven that uses natural gas...  相似文献   

    

Jinxin Liu  Mengqi Zeng  Lingxiang Wang  Yongting Chen  Zhuo Xing  Tao Zhang  Zheng Liu  Junlai Zuo  Fan Nan  Rafael G. Mendes  Shengli Chen  Feng Ren  Ququan Wang  Mark H. Rümmeli  Lei Fu 《Small (Weinheim an der Bergstrasse, Germany)》2016,12(41):5741-5749

The controllable synthesis of uniform tungsten diselenide (WSe₂) is crucial for its emerging applications due to the high sensitivity of its extraordinary physicochemical properties to its layer numbers. However, undesirable multilayer regions inevitably form during the fabrication of WSe₂ via the traditional chemical vapor deposition process resulted from the lack of significantly energetically favorable competition between layer accumulation and size expansion. This work innovatively introduces Cu to occupy the hexagonal site positioned at the center of the six membered ring of the WSe₂ surface, thus filtrates the undesired reaction path through precisely thermodynamical control and achieves self‐limited growth WSe₂ crystals. The as‐obtained WSe₂ crystals are characterized as strictly single‐layer over the entire wafer. Furthermore, the strictly self‐limited growth behavior can achieve the “win–win” cooperation with the synthesis efficiency. The fastest growth (≈15 times of the growth rate in the previous work) of strictly monolayer WSe₂ crystals thus far is realized due to the high‐efficiency simultaneous selenization process. The as‐proposed ultrafast Cu‐assisted self‐limited growth method opens a new avenue to fabricate strictly monolayer transition metal dichalcogenides crystals and further promotes their practical applications in the future industrial applications.  相似文献   

    

Rafael Oliveira 《Computational Complexity》2016,25(2):507-561

Kaltofen (Randomness in computation, vol 5, pp 375–412, 1989) proved the remarkable fact that multivariate polynomial factorization can be done efficiently, in randomized polynomial time. Still, more than twenty years after Kaltofen’s work, many questions remain unanswered regarding the complexity aspects of polynomial factorization, such as the question of whether factors of polynomials efficiently computed by arithmetic formulas also have small arithmetic formulas, asked in Kopparty et al. (2014), and the question of bounding the depth of the circuits computing the factors of a polynomial. We are able to answer these questions in the affirmative for the interesting class of polynomials of bounded individual degrees, which contains polynomials such as the determinant and the permanent. We show that if ({P(x_{1},ldots,x_{n})}) is a polynomial with individual degrees bounded by r that can be computed by a formula of size s and depth d, then any factor ({f(x_{1},ldots, x_{n})}) of ({P(x_{1},ldots,x_{n})}) can be computed by a formula of size ({textsf{poly}((rn)^{r},s)}) and depth d + 5. This partially answers the question above posed in Kopparty et al. (2014), who asked if this result holds without the dependence on r. Our work generalizes the main factorization theorem from Dvir et al. (SIAM J Comput 39(4):1279–1293, 2009), who proved it for the special case when the factors are of the form ({f(x_{1}, ldots, x_{n}) equiv x_{n} - g(x_{1}, ldots, x_{n-1})}). Along the way, we introduce several new technical ideas that could be of independent interest when studying arithmetic circuits (or formulas).  相似文献   

    

Maryam Razavian  Antony Tang  Rafael Capilla  Patricia Lago 《Journal of Software: Evolution and Process》2016,28(6):394-426

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Carlota Arias-Hidalgo  Pablo Juanes-Velasco  Alicia Landeira-Viuela  Marina L. García-Vaquero  Enrique Montalvillo  Rafael Gngora  ngela-Patricia Hernndez  Manuel Fuentes 《International journal of molecular sciences》2022,23(12)

In single-cell analysis, biological variability can be attributed to individual cells, their specific state, and the ability to respond to external stimuli, which are determined by protein abundance and their relative alterations. Mass spectrometry (MS)-based proteomics (e.g., SCoPE-MS and SCoPE2) can be used as a non-targeted method to detect molecules across hundreds of individual cells. To achieve high-throughput investigation, novel approaches in Single-Cell Proteomics (SCP) are needed to identify and quantify proteins as accurately as possible. Controlling sample preparation prior to LC-MS analysis is critical, as it influences sensitivity, robustness, and reproducibility. Several nanotechnological approaches have been developed for the removal of cellular debris, salts, and detergents, and to facilitate systematic sample processing at the nano- and microfluidic scale. In addition, nanotechnology has enabled high-throughput proteomics analysis, which have required the improvement of software tools, such as DART-ID or DO-MS, which are also fundamental for addressing key biological questions. Single-cell proteomics has many applications in nanomedicine and biomedical research, including advanced cancer immunotherapies or biomarker characterization, among others; and novel methods allow the quantification of more than a thousand proteins while analyzing hundreds of single cells.  相似文献   

    

Pablo de Vera  Simone Taioli  Paolo E. Trevisanutto  Maurizio Dapor  Isabel Abril  Stefano Simonucci  Rafael Garcia-Molina 《International journal of molecular sciences》2022,23(11)

Energetic carbon ions are promising projectiles used for cancer radiotherapy. A thorough knowledge of how the energy of these ions is deposited in biological media (mainly composed of liquid water) is required. This can be attained by means of detailed computer simulations, both macroscopically (relevant for appropriately delivering the dose) and at the nanoscale (important for determining the inflicted radiobiological damage). The energy lost per unit path length (i.e., the so-called stopping power) of carbon ions is here theoretically calculated within the dielectric formalism from the excitation spectrum of liquid water obtained from two complementary approaches (one relying on an optical-data model and the other exclusively on ab initio calculations). In addition, the energy carried at the nanometre scale by the generated secondary electrons around the ion’s path is simulated by means of a detailed Monte Carlo code. For this purpose, we use the ion and electron cross sections calculated by means of state-of-the art approaches suited to take into account the condensed-phase nature of the liquid water target. As a result of these simulations, the radial dose around the ion’s path is obtained, as well as the distributions of clustered events in nanometric volumes similar to the dimensions of DNA convolutions, contributing to the biological damage for carbon ions in a wide energy range, covering from the plateau to the maximum of the Bragg peak.  相似文献