Torii: An aspect-based sentiment analysis system that can mine conditions

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.     

Detection of bodies in maritime rescue operations using unmanned aerial vehicles with multispectral cameras

In this study, we use unmanned aerial vehicles equipped with multispectral cameras to search for bodies in maritime rescue operations. A series of flights were performed in open‐water scenarios in the northwest of Spain, using a certified aquatic rescue dummy in dangerous areas and real people when the weather conditions allowed it. The multispectral images were aligned and used to train a convolutional neural network for body detection. An exhaustive evaluation was performed to assess the best combination of spectral channels for this task. Three approaches based on a MobileNet topology were evaluated, using (a) the full image, (b) a sliding window, and (c) a precise localization method. The first method classifies an input image as containing a body or not, the second uses a sliding window to yield a class for each subimage, and the third uses transposed convolutions returning a binary output in which the body pixels are marked. In all cases, the MobileNet architecture was modified by adding custom layers and preprocessing the input to align the multispectral camera channels. Evaluation shows that the proposed methods yield reliable results, obtaining the best classification performance when combining green, red‐edge, and near‐infrared channels. We conclude that the precise localization approach is the most suitable method, obtaining a similar accuracy as the sliding window but achieving a spatial localization close to 1 m. The presented system is about to be implemented for real maritime rescue operations carried out by Babcock Mission Critical Services Spain.     

VOCs and PAHs emissions from creosote-treated wood in a field storage area

In this study, the emissions of volatile organic compounds (VOCs, in this case aromatic hydrocarbons containing one benzene ring and furans) and polycyclic aromatic hydrocarbons (PAHs) from wood recently treated with creosote are examined. The VOCs and PAHs were identified and quantified in the gas phase. Additionally, the PAHs were quantified in the particulate phase. Glass multi-sorbent tubes (Carbotrap, Carbopack X, Carboxen-569) were used to hold the VOCs. The analysis was performed using automatic thermal desorption (ATD) coupled with capillary gas chromatography/mass spectrometry (GC/MS). PAHs vapours were collected on XAD-2 resin, and particulate matter was collected on glass fibre filters. The PAHs were analysed using GC/MS. The main components of the vapours released from the creosote-treated wood were naphthalene, toluene, m+p-xylene, ethylbenzene, o-xylene, isopropylbenzene, benzene and 2-methylnaphthalene. VOCs emission concentrations ranged from 35 mg m(-3) of air on the day of treatment to 5 mg m(-3) eight days later. PAHs emission concentrations ranged from 28 microg m(-3) of air on the day of treatment to 4 microg m(-3) eight days later. The air concentrations of PAHs in particulate matter were composed predominantly of benzo[b+j]fluoranthene, benzo[a]anthracene, chrysene, fluoranthene, benzo[e]pyrene and 1-methylnaphthalene. The emission concentrations of particulate polycyclic aromatic hydrocarbons varied between 0.2 and 43.5 ng m(-3). Finally, the emission factors of VOCs and PAHs were determined.     

Processing of ultrasonic array signals for characterizing defects. Part II: experimental work

This is Part II of the two-part paper aimed at integrating the numerical synthesis and experimental investigation of the ultrasonic wave propagation model for quantitative nondestructive evaluation. The first part of the paper focused on synthesizing and predicting measured signals using the boundary element method and the deconvolution technique based on the comparison between the signals obtained from defective and undamaged (reference) specimens. In the second part, we present an inversion technique which allows us to obtain the position and size of the defect. The inversion scheme is processing the frequency domain information rather than time-domain time-of-flights or vibration eigenmodes. This technique is tested experimentally for the case of a side-drilled hole with a non-trivial location in terms of standard pulse-echo techniques. It is shown that the scheme is particularly effective when the information of the defect is masked by other predominant signal components.     

An organic donor/acceptor lateral superlattice at the nanoscale

A precise control of the nanometer-scale morphology in systems containing mixtures of donor/acceptor molecules is a key factor to improve the efficiency of organic photovoltaic devices. Here we report on a scanning tunneling microscopy study of the first stages of growth of 2-[9-(1,3-dithiol-2-ylidene)anthracen-10(9H)-ylidene]-1,3-dithiole, as electron donor, and phenyl-C61-butyric acid methyl ester, as electron acceptor, on a Au(111) substrate under ultrahigh vacuum conditions. Due to differences in bonding strength with the substrate and different interactions with the Au(111) herringbone surface reconstruction, mixed thin films spontaneously segregate into a lateral superlattice of interdigitated nanoscale stripes with a characteristic width of about 10-20 nm, a morphology that has been predicted to optimize the efficiency of organic solar cells.     

Seasonal and lactational changes in mineral composition of milk from Iberian red deer (Cervus elaphus hispanicus)

Milk minerals are important for calf growth, and they have other roles as well, such as immune regulation. This 2-yr study examined content of Ca, P, Mg, Na, K, Fe, and Zn in milk of 54 Iberian red deer hinds through 18 wk of lactation. Mean mineral composition of fresh milk was ash = 1.168 ± 0.007%, Ca = 2,330 ± 20 mg/kg, P = 640 ± 10 mg/kg, K = 1,100 ± 10 mg/kg, Na = 385 ± 3 mg/kg, Mg = 138 ± 1 mg/kg, Zn = 12.5 ± 0.2 mg/kg, and Fe = 0.65 ± 0.03 mg/kg. All minerals except Mg varied by week of lactation, but variation was usually <10% except for Fe (83% variation) and Zn (30% variation); both of those minerals increased as lactation proceeded. Increased concentrations of Fe and Zn in later lactation compensated for the reduction in milk production in mid and late lactation such that daily production was less variable for Fe (55% variation) or Zn (79% variation) than for other minerals (118 to 135% variation). Potassium content of milk decreased across time, but that effect occurred primarily during the last few weeks of lactation. Calving later vs. early in the calving season had variable effects on concentrations of different minerals: P, Mg, and K concentrations were not affected; Ca, Mg, and Na were all lower in milk from later calving hinds; and both Fe and Zn had higher concentrations in milk from hinds that calved later in the season. Lactating hinds seem to maintain a more stable daily yield of the microminerals Fe and Zn in milk compared with more variable concentrations of macrominerals as lactation progresses. Because of the essential role of Fe and Zn in immune function, a more stable supply of those minerals might be important to the health of growing red deer calves.     

Topological Defects: Origin of Nanopores and Enhanced Adsorption Performance in Nanoporous Carbon

A scanning transmission electron microscopy investigation of two nanoporous carbon materials, wood‐based ultramicroporous carbon and poly(furfuryl alcohol)‐derived carbon, is reported. Atomic‐resolution images demonstrate they comprise isotropic, three‐dimensional networks of wrinkled one‐atom‐thick graphene sheets. In each graphene plane, nonhexagonal defects are frequently observed as connected five‐ and seven‐atom rings. Atomic‐level modeling shows that these topological defects induce localized rippling of graphene sheets, which interferes with their graphitic stacking and induces nanopores that lead to enhanced adsorption of H₂ molecules. The poly(furfuryl alcohol)‐derived carbon contains larger regions of stacked layers, and shows significantly smaller surface area and pore volume than the ultramicroporous carbon.     

Influence of sex and slaughter weight on carcass and meat quality in light and medium weight lambs produced in intensive systems

Effects of slaughter weight and sex on carcass characteristics and lamb meat quality of Manchega Spanish breed were analysed. Forty-five lambs were divided into two slaughter weight groups: light (LW=21.7±0.16 kg; n=24) and medium (MW=27.8±0.16 kg; n=21). Dressing proportion and conformation were significantly different between groups and sex. There were also differences between light and medium group in fatness but not between males and females. Water holding capacity decreased with increasing slaughter weight (p<0.05) and was lower in females than in males (p<0.001). The increase in weight was associated with a decrease in L* (p<0.01), while a* showed an increase which failed to reach statistical significance. Slaughter weight and sex affected neither pH and its decrease post-slaughter nor meat toughness. ?     

Analytical Characterization of Polyphenols from Tara and Caesalpinia decapetala as Stabilizers of O/W Emulsions

The extracts (0.5% [w/w]) from Caesalpinia spinosa or tara (CS) and Caesalpinia decapetala (CD) leaves were evaluated for their ability to inhibit lipid oxidation using oil‐in‐water (O/W) emulsions as the model system. Liquid chromatography (LC) combined with mass spectrometry (MS), using a hybrid quadrupole time‐of‐flight (QTOF) mass spectrometer, was employed for (1) the identification of potential antioxidant species in the extracts and (2) to follow their evolution through aging of the emulsions. CS extracts, containing esters and conjugated forms of gallic acid (GA), turned out to be more effective than CD, rich in flavonoid species, in stabilizing the O/W emulsions. After 3 wk at 33 °C, peroxide values of emulsions stabilized with CS and CD extracts were 6.7 and 18.2 meq hydroperoxides/kg, respectively. Responses measured for the oligomers and esterified forms of GA in CS containing emulsions decreased with time; however, the response for the free form of GA kept increasing.