Miracle-dz/UniFAR-FTUs huggingface dataset:
COMO POSSO TE ACHAR NO FACEBOOK? VOCÊ ME ACHA COMO... QUESTÕES SOBRE METONÍMIA,
 MODERNIDADE LÍQUIDA E EMOÇÃO NA ANTROPONÍMIA

portuguesResumo: Apresentamos resultados de um estudo que objetivou, principalmente, refletir sobre o uso de antroponimos criativos no Facebook. Para embasar a discussao, empregamos, como norte teorico, a Linguistica Cognitiva, dialogando com autores como Lakoff (1987), por compreendermos que a metonimia alicerca a criacao desses antroponimos. Ademais, considerando a natureza interdisciplinar dessa area, trouxemos Bauman (2005), para as discussoes, por entendermos que a modernidade liquida, tambem, interfere no seu uso, assim como dialogamos com Damasio (2011), por acreditarmos que as emocoes os geram. No âmbito metodologico, adotamos a abordagem qualitativa e hermeneutica do corpus que, por sua parte, foi constituido por antroponimos coletados da referida rede social. Estabelecemos tres categorias de estudo: Metonimias convencionais; Metonimias nao convencionais e Antroponimia, emocao, identidade e tempos liquidos. Concluimos, entre outros resultados, que a metonimia e, de fato, o mecanismo que estrutura essa antroponimia e que as mulheres sao mais propensas ao seu uso. EnglishAbstract: We´ve presented results from a study that aimed, mostly, reflect about the use of creative anthroponyms on Facebook. To support the discussion, we used, as theoretical north, Cognitive Linguistic, dialoguing with authors such as Lakoff (1987), for comprehending that metonymy supports the creation of these anthroponyms. Moreover, considering the interdisciplinary nature of this area, we have brought Bauman (2005), for the discussions, because we understand that liquid modernity also interferes with its use, as we dialogue with Damasio (2011), because we believe that emotions generate them. In the methodological scope, we adopted the qualitative and hermeneutical approach of the corpus, which, for its part, was constituted by anthroponyms collected from said social network. We established three categories of study: Conventional metonymy; Unconventional metonymy and anthroponymy, emotion, identity and liquid times. We conclude, among other results, that metonymy is, in fact, the mechanism that structures this anthroponymy and that women are more prone to its use.
LARGE MICROBIOTA SURVEY REVEALS HOW THE MICROBIAL ECOLOGY OF COOKED HAM IS SHAPED BY DIFFERENT PROCESSING STEPS

The production of cooked ham involves numerous steps shaping the microbial communities of the final product, with consequences on spoilage metabolites production. To identify the main factors driving the ecology of ham and its spoilage, we designed a study encompassing five variables related to ham production: type of storage during meat transportation, churning speed, drain-off time, slicing line and O2 packaging permeability. We obtained about 200 samples from the same facility and we characterized i) their microbiota based on gyrB amplicon sequencing ii) their production of spoilage-related metabolites based on E-Nose analysis and enzymatic assays. The slicing was the most critical step, shaping two general types of microbiota according to the slicing line: one dominated by Carnobacterium divergens and another one dominated by Leuconostoc carnosum and Serratia proteamaculans. Regarding metabolites production, L. carnosum was associated to D-lactic acid, ethanol and acetic acid production, whereas Serratia proteamaculans was associated to acetic acid production. This last species prevailed with highly O2-permeable packaging. Within a given slicing line, we observed campaign-based variations, with Lactobacillus sakei, Leuconostoc mesenteroides and Carnobacterium maltaromaticum prevalent in summer. L. sakei was associated with L-lactic acid production and C. maltaromaticum with formic and acetic acid productions.
Diving behavior in relation to ambient water temperature in northern elephant seals

Our aim was to describe changes in ambient water temperature during the course of migration by northern elephant seals (Mirounga angustirostris) and to examine evidence for the seal using abrupt temperature gradients for locating prey. During migration in the post breeding season, the diving patterns of 10 adult females and 7 breeding-age males from Ano Nuevo, California, were recorded with time–depth recorders in 1989–1991. Recorded sea surface temperatures declined from 11–13 °C to a low of 3–9 °C as the seals moved north and increased as they returned. Depth of diving was not closely linked to sharp thermal gradients. A thermocline was evident only at the beginning and end of the migration in less than 100 m of water, where less than 2% of diving takes place. There were sex differences in the temperature range at the depths where 75% of diving and foraging occurred, owing in part to habitat separation. The temperatures were lower and the range narrower for females (4.2–5.2 °C at 388–622 m) than for mal.
Comparative analysis of complete plastid genome reveals powerful barcode regions for identifying wood of Dalbergia odorifera and D. tonkinensis (Leguminosae)

Dalbergia odorifera T. C. Chen (Leguminosae), a rare and endangered tree species endemic to Hainan Island of China, produces the most expensive and rarest wood in China. The wood characteristics of D. odorifera are remarkably similar to those of D. tonkinensis (a much less sought‐after species from Vietnam), and the DNA from wood is often highly degraded, making it very difficult to identify the two species using anatomical features or DNA barcoding based on regular DNA markers. To solve the confusion of identifying wood reliably from the two species, we built and analyzed the plastome library of 26 samples from 18 Dalbergia species, of which 12 samples from eight closely related species of D. odorifera are newly sequenced in this study. Phylogenomic analysis suggested that the relationships among the 26 samples are mostly well resolved, and conspecific individuals from different populations of D. odorifera and D. tonkinensis clustered together. Between the plastid genomes of the two species, we identified 129 indels and 114 single nucleotide polymorphisms. By assessing a subset of 20 nucleotide polymorphisms and 10 indels using 37 population‐level samples (20 samples of D. odorifera and 17 samples of D. tonkinensis), we recovered eight species‐specific barcode regions that could be suitable for identifying the wood D. odorifera and D. tonkinensis. To examine their utility in wood identification, we amplified the eight DNA barcodes using six wood samples and recovered an amplification success rate of 83.3%, demonstrating a reliable method for precise wood identification of the two species.
The Parkinson’s Disease Comprehensive Response (PDCORE): a composite approach integrating three standard outcome measures

Abstract There is an increasing need for improved endpoints to assess clinical trial effects in Parkinson’s disease. We propose the Parkinson’s Disease Comprehensive Response as a novel weighted composite endpoint integrating changes measured in three established Parkinson’s outcomes, including: OFF state Movement Disorder Society Unified Parkinson’s Disease Rating Scale Motor Examination scores; Motor Experiences of Daily Living scores; and total good-quality ON time per day. The data source for the initial development of the composite described herein was a recent Phase II trial of glial cell line-derived neurotrophic factor. A wide range of clinically derived relative weights was assessed to normalize for differentially scoring base rates with each endpoint component. The Parkinson’s disease comprehensive response, in contrast to examining practically defined OFF state Unified Parkinson’s Disease Rating Scale Motor Examination scores alone, showed stability over 40 weeks in placebo patients, and all 432 analyses in this permutation exercise yielded significant differences in favour of glial cell line-derived neurotrophic factor. The findings were consistent with results obtained employing three different global statistical test methodologies and with patterns of intra-patient change. Based on our detailed analyses, we conclude it worth prospectively evaluating the clinical utility, validity and regulatory feasibility of using clinically supported final Parkinson’s disease comprehensive response formulas (for both the Unified Parkinson’s Disease Rating Scale-based and Movement Disorders Society-Unified Parkinson’s Disease Rating Scale-based versions) in future disease-modifying Parkinson’s trials. Whilst the data source employed in the initial development of this weighted composite score is from a recent Phase II trial of glial cell line-derived neurotrophic factor, we wish to stress that the results are not described to provide post hoc evidence of the efficacy of glial cell line-derived neurotrophic factor but rather are presented to further the debate of how current regulatory approved rating scales may be combined to address some of the recognized limitations of using individual scales in isolation.
Small Target Detection in Infrared Videos Based on Spatio-Temporal Tensor Model

Existing methods of the small target detection from infrared videos are not effective with the complex background. It is mainly caused by: 1) the interference of strong edges and the similarity with other nontarget objects and 2) the lack of the context information of both the background and the target in a spatio-temporal domain. By considering these two points, we propose to slide a window in a single frame and form a spatio-temporal cube with the current frame patch and other frame patches in the spatio-temporal domain. Then, we establish a spatio-temporal tensor model based on these patches. According to the sparse prior of the target and the local correlation of the background, the separation of the target and the background can be cast as a low rank and sparse tensor decomposition problem. The target is obtained from the sparse tensor by the tensor decomposition. The experiments show that our method gains better detection performance in infrared videos with the complex background by making full use of the spatio-temporal context information.
Recent trend in the global distribution of aerosol direct radiative forcing from satellite measurements

Global distribution of aerosol direct radiative forcing (DRF) is estimated using Clouds and Earth's Radiant Energy System (CERES) synoptic (SYN) 1° datasets. During 2001–2017, a statistically significant change of global DRFs is revealed with a general decreasing trend (i.e., a reduced cooling effect) at the top of the atmosphere (DRFTOA ~ 0.017 W⋅m−2⋅year−1) and at the surface (DRFSFC ~ 0.033 W⋅m−2⋅year−1) with rapid change over the land compared to the global ocean. South Asia and Africa/Middle East regions depict significant increasing trend of atmospheric warming by 0.025 and 0.002 W·m−2⋅year−1 whereas, the rest of the regions show a decline. These regional variations significantly modulate the global mean DRF (−5.36 ± 0.04 W·m−2 at the TOA and − 9.64 ± 0.07 W·m−2 at the surface during the study period). The observed DRF trends are coincident with the change in the underlying aerosol properties, for example, aerosol optical depth, Ångström exponent and partly due to the increasing columnar burden of SO2 over some of the regions. This indicates that increasing industrialization and urbanization have caused prominent change in the DRF during recent decades.
The Intuition of Punishment: A Study of Fairness Preferences and Cognitive Ability

Can differences in cognitive reflection explain other-regarding behavior? To test this, I use the three-item Cognitive Reflection Task to classify individuals as intuitive or reflective and correlate this measure with choices in three games that each subject participates in. The main sample consists of 236 individuals who completed the dictator game, ultimatum game and a third-party punishment task. Subjects afterwards completed the three-item Cognitive Reflection Test. Results showed that intuitive individuals acted more prosocially in all social dilemma tasks. These individuals were more likely to serve as a norm enforcer and third-party punish a selfish act in the dictator game. Reflective individuals were found more likely to act consistently in a self-interested manner across the three games.
Purification and enzymatic properties of a textile dye-decolourizing peroxidase from Moringa oleifera roots

Peroxidases are ubiquitous enzymes involved in the oxidation of a variety of aromatic substrates including textile dyes, which are harmful for aquatic life and human health. Hence, the present study describes the purification of a peroxidase, named Mo POX, from Moringa oleifera roots using DEAE-Sephacel and gel filtration chromatography on a Superdex® 75 column. The peptide sequences recorded by mass spectrometry analysis confirmed the identity of Mo POX with other plant peroxidases. The optimum pH and temperature of enzyme activity were 5.2 and 70 °C, respectively. Its enzymatic activity in the presence of metal ions and classical peroxidase inhibitors was also evaluated. Mo POX follows Michaelis-Menten kinetics, with specificity, in ascending order, to the substrates ABTS < eugenol < O -dianisidine ≅ guaiacol, besides being highly thermostable. The purified peroxidase (0.015, 0.030 or 0.150 mg/mL) degraded different dyes (50 or 100 mg/L), such as Remazol ® Blue RGB, Remazol ® Navy RGB and Telon ® Turquoise M-5G 85%. Decolorization rates varied from 15 to 90% depending on the dye concentration, enzyme concentration and exposure time. Mo POX is the first peroxidase purified from M. oleifera roots, and the results showed it has biotechnological potential for biodegradation of hazardous compounds. peroxidase purified from Marsdenia megalantha latex inhibits phytopathogenic fungi mediated by cell membrane
Reclamation status of a degraded pasture based on soil health indicators

Pasture degradation is a concern, especially in susceptible sandy soils for which strategies to recover them must be developed. Microbiological and biochemical soil health indicators are useful in the guindace of soil management practices and sustainable soil use. We assessed the success of threePanicum maximum Jacq. cultivars in the reclamation of a pasture in a sandy Typic Acrudox in the northwest of the state of Parana, Brazil, based on soil health indicators. On a formerly degraded pasture withUrochloa brizantha (Hochst. ex A. Rich.) R.D. Webster, a trial with threeP. maximum (cv. Massai, Tanzânia, or Mombaca) was conducted. Lime and phosphate were applied at set-up, and mineral N and K as topdressing. A remnant of degraded pasture adjacent to the trial was used as control. Twenty-three chemical, physical, microbiological and biochemical attributes were assessed for the 0-10 cm topsoil. The procedures for reclamation improved most of the indicators of soil health in relation to the degraded pasture, such as soil P, mineral N, microbial biomass C, ammonification rate, dehydrogenase activity and acid phosphatase. CO2 evolution decreased, whereas microbial biomass C increased in the pasture under reclamation, resulting in a lower metabolic quotient (qCO2) that points to a decrease in metabolic stress of the microbial community. The reclamation of the pasture withP. maximum, especially cv. Mombaca, were evidenced by improvements in the microbiological and biochemical soil health indicators, showing a recovery of processes related to C, N and P cycling in the soil.
A Projective and Discriminative Dictionary Learning for High-Dimensional Process Monitoring With Industrial Applications

Data-driven process monitoring methods have attracted many attentions and gained wide applications. However, the real industrial process data are much more complex which is characterized by multimode, high dimensional, corrupted, and less labeled data. In order to eliminate these unfavourable factors simultaneously, a semisupervised robust projective and discriminative dictionary learning method is proposed. First, a semisupervised strategy is introduced to label unsupervised training data. Then, by utilizing low-rank and sparse features of raw data and outliers, a robust decomposition method is used to obtain clean data. After that, a simultaneously projective and discriminative model is proposed to extracting the feature of the low-rank clean data. Finally, the projection matrix and global dictionary, as well as the threshold are obtained through iterative dictionary learning. This hybrid framework provides a robust model for process monitoring and mode identification, and its efficiency is demonstrated by both synthetic examples and real industrial process cases.
Factors Affecting Adoption of Soybean Production Technologies in Ethiopia

Adoption of improved technologies is seen as a key driver to increase agricultural production and productivity in Ethiopia. However, farmers are still using lower than the recommended rates and yet there are a lot of farmers who are not using soybean production technologies at all. In this study, we analyze the factors affecting adoption and intensity of soybean production technologies adoption using a survey data collected from 188 randomly selected smallholder farmers in Tiro Afeta District, Ethiopia. The data were analyzed using descriptive statistics; econometric models and Kendall’s Coefficient of Concordance (W) analysis were employed to analyze the data. The result from Heckman two step model indicated that education level of household, total livestock holding, improved seed availability, frequency of extension contact, credit use and farm income were positively and significantly influenced where as market distance negatively and significantly affected adoption of soybean production technologies. Also the, result indicated that age, land holding size, and farm income determine the intensity of soybean technologies adoption positively and significantly whereas distance from market affect negatively and significantly. Based on the findings of this study it can be concluded that policy and development interventions should give emphasis towards improvement of such economical and institutional support system so as to achieve wider adoption of soybean production technologies, to increase production and productivity as well as to ensure food security. Keywords : Adoption, Intensity, Soybean, Technology DOI: 10.7176/FSQM/96-02 Publication date: April 30 th 2020
Effects of Arbuscular mycorrhizal fungi isolated from white clovers (Trifolium repens L) on soil bacteria and fungi

White clover potted experiments were performed to investigate the effects of seven indigenous arbuscular mycorrhizal fungi (AMF) communities isolated from different test plots subjected to long-term fertilisation on soil enzyme activities, number of soil bacteria and fungi. The results showed that the inoculation of arbuscular mycorrhizal fungi communities increased the mycorrhizal infection rate of the plants and promoted the growth of plants. The Mnp treatment was most effective. The shoot biomass, root biomass, potassium and nitrogen uptake of the white clover in Mnp treatment group were increased by 61.54%, 84.00%, 62.50% and 46.71% respectively, compared with those in non-inoculation treatment. The inoculation of AMF communities had little effect on the number of bacteria in the soil, but significantly increased the number of soil fungi. Mnk treatment group had the highest number of fungi in the soil, which was 9.91 times that of the non-inoculation treatment group. The catalase and dehydrogenase activities were both significantly improved in Mnp treatment by 28.12% and 205.38% respectively, compared with those of the control treatment (-M). The urease, invertase and cellulase activities reached the highest levels in the Mck treatment; they were increased by 142.79%, 41.17% and 77.62% respectively, compared with those of the control treatment. Pearson correlation analysis showed that the soil enzyme activity was not correlated with the mycorrhizal infection rate, but correlated with the spore number of the AMF community. The impact of AMF community on soil quality is important for us to understand the function of the ecosystems. Relevant study provides important guidance for maintaining the balance of the soil-plant system and the development of sustainable agriculture.
An enhancement to sea ice motion and age products at the National Snow and Ice Data Center (NSIDC)

Abstract. A new version of sea ice motion and age products includes several significant upgrades in processing, corrects known issues with the previous version, and updates the time series through 2018, with regular updates planned for the future. First, we provide a history of these NASA products distributed at the National Snow and Ice Data Center. Then we discuss the improvements to the algorithms, provide validation results for the new (Version 4) and older versions, and intercompare the two. While Version 4 algorithm changes were significant, the impact on the products is relatively minor, particularly for more recent years. The changes in Version 4 reduce motion biases by ∼ 0.01 to 0.02 cm s −1 and error standard deviations by ∼ 0.3 cm s −1 . Overall, ice speed increased in Version 4 over Version 3 by 0.5 to 2.0 cm s −1 over most of the time series. Version 4 shows a higher positive trend for the Arctic of 0.21 cm s −1 per decade compared to 0.13 cm s −1 per decade for Version 3. The new version of ice age estimates indicates more older ice than Version 3, especially earlier in the record, but similar trends toward less multiyear ice. Changes in sea ice motion and age derived from the product show a significant shift in the Arctic ice cover, from a pack with a high concentration of older ice to a sea ice cover dominated by first-year ice, which is more susceptible to summer melt. We also observe an increase in the speed of the ice over the time series ≥ 30 years, which has been shown in other studies and is anticipated with the annual decrease in sea ice extent.
Polyethylene Glycol Pulsed Electrodeposition for the Development of Antifouling Coatings on Titanium

Titanium dental implants are widely used for the replacement of damaged teeth. However, bacterial infections at the interface between soft tissues and the implant can impair the functionality of the device and lead to failure. In this work, the preparation of an antifouling coating of polyethylene glycol (PEG) on titanium by pulsed electrodeposition was investigated in order to reduce Staphylococcus aureus (S. aureus) and Escherichia coli (E. coli) adhesion while maintaining human fibroblast adhesion. Different pulsed conditions were prepared and characterized by contact angle, Focused Ion Beam (FIB), Fourier Transformed Infrared Spectroscopy in the Attenuated Total Reflectance mode (ATR-FTIR), and X-ray photoelectron spectroscopy (XPS). XPS tested fibronectin adsorption. S. aureus, E. coli and human fibroblast adhesion was tested in vitro in both mono and co-culture settings. Physicochemical characterization proved useful for confirming the presence of PEG and evaluating the efficiency of the coating methods. Fibronectin adsorption decreased for all of the conditions, but an adsorption of 20% when compared to titanium was maintained, which supported fibroblast adhesion on the surfaces. In contrast, S. aureus and E. coli attachment on coated surfaces decreased up to 90% vs. control titanium. Co-culture studies with the two bacterial strains and human fibroblasts showed the efficacy of the coatings to allow for eukaryotic cell adhesion, even in the presence of pre-adhered bacteria.