Miracle-dz/UniFAR-FTUs huggingface dataset:
The RWTH Aachen machine translation systems for IWSLT 2013

This work describes the statistical machine translation (SMT) systems of RWTH Aachen University developed for the evaluation campaign International Workshop on Spoken Language Translation (IWSLT) 2013. We participated in the English→French, English↔German, Arabic→English, Chinese→English and Slovenian↔English MT tracks and the English→French and English→German SLT tracks. We apply phrase-based and hierarchical SMT decoders, which are augmented by state-of-the-art extensions. The novel techniques we experimentally evaluate include discriminative phrase training, a continuous space language model, a hierarchical reordering model, a word class language model, domain adaptation via data selection and system combination of standard and reverse order models. By application of these methods we can show considerable improvements over the respective baseline systems.
Generating Racing Game Commentary from Vision, Language, and Structured Data

We propose the task of automatically generating commentaries for races in a motor racing game, from vision, structured numerical, and textual data. Commentaries provide information to support spectators in understanding events in races. Commentary generation models need to interpret the race situation and generate the correct content at the right moment. We divide the task into two subtasks: utterance timing identification and utterance generation. Because existing datasets do not have such alignments of data in multiple modalities, this setting has not been explored in depth. In this study, we introduce a new large-scale dataset that contains aligned video data, structured numerical data, and transcribed commentaries that consist of 129,226 utterances in 1,389 races in a game. Our analysis reveals that the characteristics of commentaries change over time or from viewpoints. Our experiments on the subtasks show that it is still challenging for a state-of-the-art vision encoder to capture useful information from videos to generate accurate commentaries. We make the dataset and baseline implementation publicly available for further research.
The DCU machine translation systems for IWSLT 2010

In this paper, we give a description of the DCU machine translation systems submitted to the evaluation campaign of The International Workshop on Spoken Language Translation (IWSLT) 2010. We participated in the BTEC Arabic-to-English task in addition to the DIALOG task for translation between English and Chinese in both directions. We explore different extensions to Phrase-Based and Hierarchical Phrase-Based Machine Translation Systems. We deploy a paraphrase system as an extension to our English-toChinese Phrase-Based translation system. For the Hierarchical Phrase-Based system, two different syntactic augmentation methods are investigated: the first is Syntax Augmented Machine Translation ,which is based on constituent grammar, while the other one is based on Combinatory Categorial Grammar. In addition, we combine the output of our hierarchical systems using a system combination method based on confusion networks.
Using Hydrogen as Gas Turbine Fuel: Premixed Versus Diffusive Flame Combustors

This work aims at estimating the efficiency gain resulting from using lean premixed combustors in hydrogen fired combined cycles with respect to diffusive flame combustors with significant inert dilution to limit NOX emissions. The analysis is carried out by considering a hydrogen fired, specifically tailored gas turbine whose features are representative of a state-of-art natural gas fired F-class gas turbine.The comparison between diffusion flame and lean premixed combustion is carried out considering nitrogen and steam as diluents, as well as different stoichiometric flame temperatures and pressure drops. Results show that the adoption of lean premixed combustors allows to significantly reduce the efficiency decay resulting from inert dilution. Combined cycle efficiency slightly reduces from 58.5–57.9% when combustor pressure drops vary in the range 3 to 10%. Such efficiency values are comparatively higher than those achieved by diffusive flame combustor with inert dilution.Finally, the study investigated the effects of decreasing the maximum operating blade temperature so as to cope with possible degradation mechanisms induced by hydrogen combustion. © 2013 ASME
Pulsed amperometric detection of pharmacologic adulterants in dietary supplements using a gold electrode coupled to HPLC separation

The enlargement of the dietary supplement market has been observed in several countries around the world. However, the increasing consumption of these products raises concerns about their quality and safety. Considering the current scenario, the aim of this study was to develop a new method for screening of multiclass drugs as possible adulterants of dietary supplements. Six drug classes (stimulants, anorexics, anxiolytics, antidepressants, diuretics and laxatives) were studied by high performance liquid chromatography using a biphenyl stationary phase and a gold disc as the working electrode for pulsed amperometric detection (HPLC-PAD). A detection potential of +0.8 V proved to be more appropriate for the detection of all the drugs. A mobile phase consisting of 10 mmol L−1 ammonium acetate in 64% (v/v) methanol at pH 4.0 (isocratic system), 1.0 mL min−1 and 40 °C was used as the optimal conditions for chromatographic separations. Fenproporex, amfepramone, yohimbine, caffeine, sildenafil, tadalafil, furosemide, sertraline, fluoxetine, lorazepam, clonazepam, midazolam, diazepam and bisacodyl were separated after a 25 min chromatographic run. The limits of quantification ranged from 0.13 mg L−1 (fenproporex) to 8.25 mg L−1 (amfepramone), and accuracies from 86.24 to 114.82%. Ten samples of dietary supplements were analyzed, in which caffeine and yohimbine were determined among the studied drugs.
Lexicon-based methods and BERT model for sentiment analysis of Russian text corpora *

The article discusses two approaches to solving the problem of sentiment analysis: lexicon-based approach and deep learning. Within the first approach two well-known lexicon-based methods has been adapted for the Russian language – SO-CAL and SentiStrength. For these methods a unified sentiment lexicon has been prepared using a voting procedure based on the existing lexicons. The second approach has used the RuBERT deep learning model. The SentiRuEval-2015 corpora, which provides reviews and tweets, has been used as training and test data. Analysis of the results showed that deep learning model demonstrates higher accuracy compared to lexicon-based methods.
IMPACT OF CELEBRITY ENDORSEMENT ON CONSUMERS

The rapidly evolving market conditions and intense competition between the firms, force marketers to adopt competitive strategies to promote their product to the right customer. Recent developments in consumer behavior and marketing studies emphasize various elements which impose an influencing impact on consumers and persuade them towards purchase intentions. This study explores the impact of celebrity endorsement and the mediating effect of consumer attitude on consumer purchase intention in a developing country. The study has employed a quantitative research design for which a selfadministrated structured research questionnaire was administered. the data were collected from 100 university students as respondents. The findings indicate that there is a strong influence on celebrity endorsements on university students. The celebrity endorser who possesses attributes such as likability, attractiveness, credibility, and personality has a positive influence on consumer’s purchase intentions. Moreover, celebrity endorsements create a positive impact on consumers attitudes towards endorsed brands and products which stimulate the purchase intention. This research provides some useful theoretical and practical implications for researchers and marketers on the use of celebrity endorsers.
Running Head: Effects of Phylogenetic Uncertainty and Imputation on EDGE

9 Faced with the challenge of saving as much diversity as possible given financial and time constraints, conser10 vation biologists are increasingly prioritizing species on the basis of their overall contribution to evolutionary 11 diversity. Metrics such as EDGE (Evolutionary Distinct and Globally Endangered) have been used to set 12 such evolutionarily-based conservation priorities for a number of taxa, such as mammals, birds, corals, am13 phibians, and sharks. Each application of EDGE has required some form of correction to account for species 14 whose position within the tree of life are unknown. Perhaps the most advanced of these corrections is phy15 logenetic imputation, but to date there has been no systematic assessment of both the sensitivity of EDGE 16 scores to a phylogeny missing species, and the impact of using imputation to correct for species missing from 17 the tree. Here we perform such an assessment, by simulating phylogenies, removing some species to make 18 the phylogeny incomplete, imputating the position of those species, and measuring (1) how robust ED scores 19 are for the species that are not removed and (2) how accurate the ED scores are for those removed and 20 then imputed. We find that the EDGE ranking for species on a tree is remarkably robust to missing species 21 from that tree, but that phylogenetic imputation for missing species, while unbiased, does not accurately 22 reconstruct species’ evolutionary distinctiveness. On the basis of these results, we provide clear guidance for 23 EDGE scoring in the face of phylogenetic uncertainty. 24
Simple and rapid method for silver nanoparticles incorporation in polymethyl methacrylate (PMMA) substrates

Due to its antimicrobial properties, silver has been used in many areas of medicine and today silver nanoparticles have been incorporated into different biomaterials. The objective of this study was to implement a simple method for the incorporation of silver nanoparticles in polymethyl methacrylate substrates, to determine their mechanical properties, antimicrobial functionality and the solubility of silver incorporated. Using this approach an antimicrobial material can be obtained; the surface of a commercial polymethyl methacrylate (Opti-cryl®) was impregnated with silver nanoparticles (AgNps) using a spray deposition method (0.03% by weight). The antimicrobial activity of the material was evaluated using the Japanese industrial standard (JIS Z 2801) against Escherichia coli and Staphylococcus aureus. Inductively coupled plasma optical spectrometry (ICP-OES) was used to measure the solubility of the incorporated silver nanoparticles. Mechanical tests of flexural strength were performed to observe changes in mechanical properties. The antimicrobial results show that PMMA / AgNps has significant antimicrobial activity, showing better results for Escherichia coli. ICP-OES analysis suggests low solubility in silver nanoparticles. Mechanical tests showed a 1.6% increase in flexural strength for PMMA added with silver nanoparticles. The method presented for incorporating silver nanoparticles into PMMA and producing an acrylic antimicrobial substrate is easy and has the advantage of improving its mechanical properties.
Transformer Networks

This document presents a precise mathematical definition of the transformer model introduced by Vaswani et al. [2017], along with some discussion of the terminology and intuitions commonly associated with the transformer. We also draw some connections between the transformer and lstm, based on observations by Levy et al. [2018]. See Dai et al. [2019] for a simple extension of the transformer architecture to longer contexts. For a physics-inspired perspective on transformers, see Lu et al. [2019]. And for a more theoretical perspective, see Ramsauer et al. [2020].
EFFECT OF DIETARY LEMONGRASS (Cymbopogon citratus) AND ROSELLE (Hibiscus sabdariffa) TO SAIDI EWES ON: (A) MILK PRODUCTION, RUMEN FERMENTATION AND LAMB’S PERFORMANCE

The experiment was carried out to study the influence of Lemongrass and Roselle supplementation in the diet of Saidi ewes. Twenty-eight ewes in the last month of pregnancy with an average body weight of 45±2 kg were assigned to 4 treatment groups (7 ewes in each group) for 75 days (15 before parturition and 60 days after parturition) using completely randomized block design. The treatments included: (1) control group (CON): received a ration consisted of concentrate mixture and wheat straw as 60:40 % on dry matter (DM) bases; (2) LG treatment group: the ewes were fed the control ration plus 4g dried Lemongrass /kg of concentrate mixture; (3) RO treatment group: the ewes were fed the control ration plus 4g dried Roselle/kg of concentrate mixture; and (4) LGRO treatment group: the ewes were fed the control ration plus 2g dried Lemongrass and 2 g dried Roselle /kg of concentrate mixture. Milk yield was recorded biweekly and milk samples were taken to analyze its chemical composition. Rumen liquor samples were collected to measure the pH, total volatile fatty acids (VFA’s) concentration and protozoal count. Lambs were weighed at birth and then once a week during four weeks of the experiment period and the daily weight gain (DWG) was calculated. Results revealed that milk efficiency as fat corrected milk (FCM) and milk yield/DM intake were not significantly affected by Lemongrass or Roselle supplementation. Milk yield tended to increase (P>0.05) in treated ewes. Milk fat increased (P<0.05) in milk of ewes fed lemongrass diet compared to those fed the other diets. In rumen samples, the protozoal count was significantly higher due to Lemongrass and Roselle supplementation together compared to the control and LGRO diets. Also, there was a highly significant increase in total VFA’s concentration in LGRO and RO compared to the CON group. Also, there was a signifncant (P<0.05) increase in milk total solids, solids not fat, protein and lactose in ewes fed lemongrass and Roselle diets compared with those fed control diet. In addition, milk density percent was higher (P<0.05) in milk of treated ewes compared to untreated ones, whereas minerals content did not differ among groups. Both body weight of lambs and daily gain of treated groups were not significantly affected by the experimental additives. Finally, the findings of this study revealed that the addition of lemongrass and Roselle herbs improved milk composition and rumen fermentation patterns without any harmful effect on animal performance.
A Survey on Self-Attention Generative Adversarial Networks Based Tag Recommendations

: Based on the analysis of previous research, this article deeply discusses the current tag-based recommendation methods from the above two aspects, briefly explains the current common tag recommendation methods and existing problems, and proposes a self-attention-based GAN (called SAGAN) tag recommendation method. In this paper, the performance index of the comparison experiment of the label recommendation approach is designed, our method is to implement self-attention mechanism to generative adversarial networks. The method of generating negative samples by the generator and identifying the samples by the discriminator enables the SAGAN to learn the pros and cons of the samples, and then use the method of generating an adversarial network to find and extract user and resource label data from the existing tags of the recommended object Characteristics, so as to better implement the recommendation that the user matches the resource tags. Experimental results show that for different types of resources, SAGAN tag recommendation approach have achieved certain performance improvements.
Characterizing estuarine salinity patterns with event duration and frequency of reoccurrence approaches

Salinity is widely recognized as a dominant environmental variable in estuarine systems. However, drawing clear causal relationships between salinity and estuarine floral or faunal patterns of abundance, population status, or vigor is often confounded by the great spatial and temporal variation exhibited by salinity. Averages, or other statistics, over monthly, seasonal, or longer periods are often used, but may fail to capture patterns of ecological significance. This study introduces a novel approach to characterize estuarine salinity based on deriving events of specific magnitude and duration from a long‐term record; events that are also amenable to analysis of the frequency that they reoccur. With sufficient point data for salinity over the spatial domain of an estuary, these variables can be mapped and contoured to reveal spatial patterns of potential ecological significance. Model‐predicted salinity for a large estuary system of the Texas coast was used to develop and test these new techniques. While this system has great variation in salinity, both temporally and spatially, we find that this variability can be characterized into well‐defined and reoccurring salinity‐based events. Furthermore, the frequency of reoccurrence of those events over a long‐term record reveals patterns not captured by more common techniques such as averaging over similar time frames. These novel techniques provide an integrated spatial‐temporal approach to salinity pattern portrayal which may be useful for examining short‐term (daily–monthly) estuary processes and longer‐term (yearly–decadal) limits to estuary species distributions and habitat composition.
Image Forgery Detection Using Back Propagation Neural Network Model and Particle Swarm Optimization Algorithm

: From the images, forgery detection is ahead noteworthy attention as there are numerous editing tools that facilitate to form the edition by means of removal or objects manipulation from the images. These editing tools not at all abscond any forgery trace as a result, growing the challenges of the system to identify the existence of the manipulations. Accordingly
ISOLATION AND CHARACTERIZATION OF TWO IMPORTANT HONEYBEE-KILLING VIRUS SPECIES, DEFORMED WING VIRUS (DWV) AND BLACK QUEEN CELL VIRUS (BQCV) FROM MESSOR CONCOLOR ANTS (HYMENOPTERA: FORMICIDAE)

Pathogenic organisms such as viruses can infect multiple host species from different trophic levels. Honeybee, A. mellifera is naturally infected by many viruses. Understanding the mechanism underlying virus spread in honeybee colonies highly depends on the pathogenic ability of honeybee killing viruses in other insects such as ants, Messor concolor (Hymenoptera: Formicidae). The purpose of this study was to investigate the existence and prevalence of two significant viruses, deformed wing virus (DWV) and black queen cell virus (BQCV) of honeybees in ants from the nests around different honeybee apiaries in Southeast Turkey by using reverse transcription polymerase chain reaction (RT-PCR). Both viruses were present in two nests while the former existed in another hive. Some ant nests were uninfected. This study is the first to report the molecular detection of the honeybee infecting DWV and BQCV in ants. Further studies should be devoted to the mechanisms underlying virus spread between honeybee and other interacting insects especially the Hymenopterans.
Externalities of public spending for education in economic growth

Economic growth, education, externalities When economic growth is considered as a measure of the welfare of the population, it constitutes one of the basic objectives of economic policy; Therefore, the study of the factors or causes that originate it has been, and continues to be, one of the relevant topics in the economic discussion. The foregoing gave rise to the interest of determining whether public spending for education generated a positive or negative externality in the economic growth of the countries of the Andean region in the period 2000-2015. The study was conducted under the quantitative approach, specifically through the development of an econometric model. The main results show that in the study period, the countries of the Andean region developed under similar contexts and policies, where the characteristics and decisions of each country regarding public spending, although they differentiated them, in turn allowed to identify a joint reaction at the level of the region, regarding the results of social policies, concluding that public spending for education came to generate positive externalities in the economic growth of the Andean region.
Evaluation of morphometric and molecular variations among some Egyptian brine shrimps comparatively with other Artemia species

The Artemia species (The 2n ranged from 42 to 44) are widely distributed crustacean organisms that can inhabit hypersaline lakes and lagoons (Kong et al., 2019). Also, the osmotolerance of Artemia was extensively explained in many biological investigations (Gajardo and Beardmore, 2012; Kong et al., 2019). The economic values of the Artemia in research laboratories and aquaculture as natural feeding stuff were extensively explained (Gajardo and Beardmore, 2012; Jamali et al., 2018). Up to date, the true phylogenetic relationships among Artemia species especially the Egyptian Artemia resources are under debate (Saad et al., 2014; Eimanifar et al., 2015) .
PPA_A_236964 467..497

Annette Eidam 1 Anja Roth 1 André Lacroix Sabine Goisser 1,2 Hanna M Seidling Walter E Haefeli 3,4 Jürgen M Bauer 1Center of Geriatric Medicine, Heidelberg University, AGAPLESION Bethanien Hospital Heidelberg, Heidelberg 69126, Germany; 2Network Aging Research (NAR), Heidelberg University, Heidelberg 69115, Germany; 3Department of Clinical Pharmacology and Pharmacoepidemiology, Heidelberg University, Heidelberg 69120, Germany; 4Cooperation Unit Clinical Pharmacy, Heidelberg University, Heidelberg 69120, Germany Purpose: The aim of this systematic review was to identify methods used to assess medication preferences in older adults and evaluate their advantages and disadvantages with respect to their applicability to the context of multimorbidity and polypharmacy. Material and Methods: Three electronic databases (PubMed, Web of Science, PsycINFO) were searched. Eligible studies elicited individual treatment or outcome preferences in a context that involved long-term pharmacological treatment options. We included studies with a study population aged ≥ 65 years and/or with a mean or median age of ≥ 75 years. Qualitative studies, studies assessing preferences for only two different treatments, and studies targeting preferences for life-sustaining treatments were excluded. The identified preference measurement methods were evaluated based on four criteria (time budget, cognitive demand, variety of pharmacological aspects, and link with treatment strategies) judged to be relevant for the elicitation of patient preferences in polypharmacy. Results: Sixty articles met the eligibility criteria and were included in the narrative synthesis. Fifty-five different instruments to assess patient preferences, based on 24 different elicitation methods, were identified. The most commonly applied preference measurement techniques were “medication willingness” (description of a specific medication with inquiry of the participant’s willingness to take it), discrete choice experiments, Likert scale-based questionnaires, and rank prioritization. The majority of the instruments were created for disease-specific or context-specific settings. Only three instruments (Outcome Prioritization Tool, a complex intervention, “MediMol” questionnaire) dealt with the broader issue of geriatric multimorbidity. Only seven of the identified tools showed somewhat favorable characteristics for a potential use of the respective method in the context of polypharmacy. Conclusion: Up to now, few instruments have been specifically designed for the assessment of medication preferences in older patients with multimorbidity. To facilitate valid preference elicitation in the context of geriatric polypharmacy, future research should focus on suitable characteristics of existing techniques to develop new measurement approaches for this increasingly relevant population.