Can we trace back hotel online reviews’ characteristics using gamification features?

Gamification is here to stay, and tourism and hospitality online review platforms are taking advantage of it to attract travelers and motivate them to contribute to their websites. Yet, literature in tourism is scarce in studying how effectively is users’ behavior changing through gamification features. This research aims at filling such gap through a data-driven approach based on a large volume of online reviews (a total of 67,685) collected from TripAdvisor between 2016 and 2017. Four artificial neural networks were trained to model title and review's word length, and title and review's sentiment score, using as input 12 gamification features used in TripAdvisor including points and badges. After validating the accuracy of the model for extracting knowledge, the data-based sensitivity analysis was applied to understand how each of the 12 features contributed to explaining review length and its sentiment score. Three badge features were considered the most relevant ones, including the total number of badges, the passport badges, and the explorer badges, providing evidence of a relation between gamification features and traveler's behavior when writing reviews.info:eu-repo/semantics/acceptedVersio

Analytical assessment process of e-learning domain research between 1980 and 2014

Applying some methods to reduce the time and expenditures of training is inevitable in existing circumstances. Many educational organizations have realized the importance of Electronic Learning (E-learning) and tried to use this approach in leveraging their academic classes. As research in E-learning domain has become one of the most important and interesting subjects, observation in emerging and fading trends of E-learning is a need for the scholars and industry professionals who are interested to study and work in the field. This paper has triggered the investigation and depicting of scientific trends in E-learning by using two scientometric methods named burst detection and clustering analysis. By applying two mentioned methods, the hot topics were identified in the field of E-learning.info:eu-repo/semantics/acceptedVersio

Immunological and histopathological changes in Penaeus semisulcatus challenged with Vibrio harveyi

Two-hundred and sixty five green tiger shrimp juveniles (Penaeus semisulcatus) with the average weight of 7-12g were collected from Helleh farms in Bushehr province and transported to Iran Shrimp Research Center of Bushehr in October, 2009. The juveniles were acclimated for two weeks. The experiment was designed in three treatments (named 3, 4 and 5) and two controls (named 1 and 2) in triplicate with 15 shrimp in each repetition prepared of glass aquarium. All the treatments and repetitions were exposed to Vibrio harveyi (NCBI: GU974342.1). The concentrations of the treatments were 10^8,10^6 and 10^4 CFU ml^-1 in individual containers dedicated for each mentioned treatment (3, 4 and 5, respectively). The controls prepared with no any bacteria and fully filled with chlorinated and UV treated sea water were named 1 and 2 respectively. The hemolymph were withdrawn from abdominal segments of samples for measuring THC and TPC evaluation at designed hours (2, 6, 12, 24, 48, 96, 144, 192 and 240). The shrimp samples were also fixed in Davidson fixative for histopathological studies. The results showed that the difference of THC value between controls and group 3 during 12 till 96 hours of experiment was significant (P 0.05) between group 5 and control groups of THC. The data showed that differences of TPC value between control groups during 24 to 96 hours were significant (P< 0.05), whereas the differences between controls with groups 4 and 5 during 48 to 144 hours and 192 hours, were significant (P< 0.05) respectively. TPC and THC were observed with an increase in the concentration of bacteria and passing the time as inverse bell shape procedure. In histopathology, gills showed melanization and color changed to brown and black. The hepatopancreas cells revealed necrosis and vacuolization of B, E, R and F cells. The bolitas ball and bacterial colonization was observed in the intestine. Our results showed that Vibrio harveyi with 10^8 and 10^6 cell/ml decreased immunity factors such as THC and TPC. The histopathological changes increased with increasing the concentration of bacterial level. This finding can be used for assessing the health of shrimp culture and prevention of vibriosis

When do parties put Europe in the centre? Evidence from the 2019 European Parliament election campaign

European elections have been described as second-order phenomena for voters, the media, but also parties. Yet, since 2009, there exists evidence that not only voters, but also political parties assign increasing significance to European elections. While initially 'issue entrepreneurs' were held responsible for this development, the latest campaigns have raised the question of whether mainstream parties are finally also campaigning on European issues. In this article, we examine European Union (EU) salience in the 2019 European Parliament (EP) campaigns of government and opposition parties and the predictors of their strategic behaviours. We test the relevance of factors derived from the selective emphasis and the co-orientation approach within an integrated model of strategic campaign communication based on expert evaluations of 191 parties in 28 EU member states. Results show that the traditional expectation that government parties silence EU issues does not hold anymore; instead, the average EU salience of government and opposition parties is similar on the national level. The strongest predictors for a party's decision to campaign on EU issues are the co-orientation towards the campaign agendas of competing parties, and party's EU position

Identification of insect community inhabiting Kaas plateau, Western ghats through cytochrome oxidase subunit I gene

Kaas Plateau is located in Western Ghats of Maharashtra, India. The region is one of its kinds being a biodiversity hot spot declared by UNESCO representing rich biodiversity of Western Ghats in India. However, insect biodiversity of this region has not been studied in detail so far. Thus, the present study was aimed at identification of insect community based on mitochondrial gene, cytochrome c oxidase subunit I (MT-CO1), for quick and reliable identification. During a collection trip, several insect specimens were collected, which belonged to seven insect orders, viz., Lepidoptera, Coleoptera, Hemiptera, Hymenoptera, Diptera, Orthoptera and Thysanoptera. Based on their morphological characteristics, specimens collected were delineated in to various orders and families. This resulted in determination of possible 15 different insect species, of which 7 could be identified up to species level. Remaining 8 sequences were matched with existing GenBank database that was &gt; 96%, therefore, were considered as putative species. One specimen could be identified up to genus level, viz., Cicindela sp. and one up to family level - Pentatomidae and six up to order level only, i.e., Coleoptera, Diptera, Lepidoptera, Orthoptera and Thysanoptera (2 specimens). The results suggested that 50% of the community could be identified to species level with MT-CO1 gene and at least about 8 specimens could possibly be new species for India. The insects thus collected from Kaas plateau were molecularly identified and at least 50% of collections were delineated to species level on the basis of their DNA barcodes for the first time

A cognition-driven risk evaluation framework for consumer loans

Credit to personal consumption is an important activity of the financial system and crucial to the socio-economic development of a country. It is important, therefore, that the methods and techniques used to evaluate consumer credit risk be as efficient and informative as possible, in order to strengthen decisions to approve or reject credit and promote sustainable economic growth. This study aims to create a multiple criteria expert system which integrates cognitive maps and the measuring attractiveness by a categorical based evaluation technique (MACBETH) to create a complementary framework for consumer credit risk assessment. The results show that this integrated approach allows the evaluation process of consumer credit risk to be more informed and transparent, providing value for the evaluation processes of this type of credit application as a result of the privileged contact established with a panel of credit analysts. Limitations and managerial implications are also discussed.info:eu-repo/semantics/publishedVersio

Improving accuracy and efficiency in seagrass detection using state-of-the-art AI techniques

Seagrasses provide a wide range of ecosystem services in coastal marine environments. Despite their ecological and economic importance, these species are declining because of human impact. This decline has driven the need for monitoring and mapping to estimate the overall health and dynamics of seagrasses in coastal environments, often based on underwater images. However, seagrass detection from underwater digital images is not a trivial task; it requires taxonomic expertise and is time-consuming and expensive. Recently automatic approaches based on deep learning have revolutionised object detection performance in many computer vision applications, and there has been interest in applying this to automated seagrass detection from imagery. Deep learning–based techniques reduce the need for hardcore feature extraction by domain experts which is required in machine learning-based techniques. This study presents a YOLOv5-based one-stage detector and an EfficientDetD7–based two-stage detector for detecting seagrass, in this case, Halophila ovalis, one of the most widely distributed seagrass species. The EfficientDet-D7–based seagrass detector achieves the highest mAP of 0.484 on the ECUHO-2 dataset and mAP of 0.354 on the ECUHO-1 dataset, which are about 7% and 5% better than the state-of-the-art Halophila ovalis detection performance on those datasets, respectively. The proposed YOLOv5-based detector achieves an average inference time of 0.077 s and 0.043 s respectively which are much lower than the state-of-the-art approach on the same datasets

For sale… but for how long? a methodological proposal for estimating time-on-the-market

Residential real estate assumes crucial importance in a country's socioeconomic development. It is an important field of study, and much work has gone into better understanding the sector and the factors determining sales within it, such as time-on-the-market (TOM). TOM can be influenced by a variety of elements; a fact that in effect raises a lot of issues, because these determinants are often interpreted in an ambiguous or unstructured way. This study aims to bring greater accuracy and structure to our understanding of these factors, by showing that the integrated use of cognitive mapping with the Analytic Hierarchy Process (AHP) can give rise to a conceptually coherent and empirically valid framework to calculate TOM indices in the residential real estate market. Because it takes into account both tangible and intangible characteristics of a house, this measurement framework also boosts strategic planning support and allows for more informed business planning, which we believe can be a real contribution to the development of the real estate market. The practical implications and limitations of this evaluation system are also discussed

Efficacy of essential oil of Lavandula angustifolia on mortality and physiological parameters of diamondback moth, Plutella xylustella (Lep.: Pyralidae)

Efficacy of the essential oil of the plant species Lavandula angustifolia on the mortality, physiology and biochemistry of diamondback moth, Plutella xylustella L., was studied under laboratory conditions (24 ± 2ºC, 75 ± 5% R.H. and 16 L: 8 D hours). The LC10, LC30 and LC50 values of the essential oil were estimated as 0.0857%, 0.270% and 0.599% (V/V), respectively. The repellency effect for the LC10 and LC30 concentrations on third instar larvae were 19.2 ± 3.61 and 34.29 ± 4.87, respectively. The approximate digestibility (AD), efficiency of conversion of ingested food (ECI), efficiency of conversion of digested food (ECD), relative growth rate (RGR) and relative consumption rate (RCR) for the treated larvae in three days showed significant differences compared with the controls. The effectiveness of plant essential oils on digestive enzymes, total protein, triglycerides, alkaline phosphatase, protease, lipase, alfa amylase, glutathione S-transferase and esterase were also significantly different. Our finding suggests that the essential oil of L. angustifolia can be efficiently used as a botanical insecticide