Miracle-dz/UniFAR-FTUs huggingface dataset:
Advertising-Funded IS : A Literature Review on Factors Influencing User ’ s Clicking Behavior for In-App Ads Completed Research

Clicks on in-app ads are the key pillar in financing the development and maintenance of apps. Therefore, the design of apps and in-app ads becomes an important task in the development of an app in order to increase the likelihood that users click on in-apps. To support the design, organizations need to know which factors influence user’s clicking behavior. To reveal those factors, we base on the information processing theory and conduct a literature review to reveal structural and semantic factors. We reveal four structural factors (animation, color brightness, location prominence and size), which influence user’s clicking behavior. Additionally, we identify seven semantic factors (entertainment value, informativeness, usefulness, personalization, congruity, irritation and privacy concern), which influence user’s clicking behavior. Based on these findings, we propose considering additional structural and semantic factors and advise future research to examine the mutual influence of both semantic and structural factors.
Assessment of Stakeholders perception of Bhutan as Meeting and Incentive destination

Meeting and Incentive tourism is a new of form of tourism, which is gaining popularity because of the benefits generated. This study focuses on destination planning element of the destination management that involves assessing the potential of developing Bhutan as a Meeting and Incentive destination by effectively consulting relevant stakeholders in tourism industry in Bhutan. These stakeholders were asked to assess the attributes relating to developing Meeting and Incentive tourism in Bhutan. These attributes were identified from the relevant literature carried out for both destination management and MICE. The data collected through interviewing the tourism stakeholders in Bhutan, indicated that amenities and accessibility both in terms of price and connectivity is very important for Bhutan to be positioned as a Meeting and Incentive tourism destination. The findings also provided significant interest from all the stakeholders to develop and promote Meeting and Incentive tourism in Bhutan.
A Survey On Ad-hoc Mobile Cloud Computing Modeling Using Cloudlet Approach

Mobile Cloud Computing is one of the most important branches of cloud computing. MCC can be defined as cloud computing extended by mobility, and a new ad-hoc infrastructure based on mobile devices. It is deployed for various purposes in area where mobile nodes are free to move to any location. Such locations can be made to have Local cloud Data Center known as Cloudlet that can communicate with set of mobile nodes. The MCC model based on cloudlet approach is flexible with various workload sizes that can be offloaded to the cloudlets by mobile nodes when required. The ability of the mobile devices will be exploited in utilizing its context awareness such as its locations. Infrastructure as a service would be provided by cloudlets to the mobile nodes that will be connected to it. In this paper we have reviewed different papers on Mobile Cloud Computing Approaches.
Critical Success Factors for the Implementation of the No-Line-Concept in the Context of the Austrian Consumer Electronics Sector

This paper explores critical success factors for the implementation of the No-Line-concept set in the context of the Austrian consumer electronics retail sector. The factors Multi-Channel Integration Service Quality (MCISQ) and Mobile Service Quality (M-S-QUAL), which both had already been tested earlier, were incorporated into a combined research model aiming to integrate different perspectives of No-Line. Based on a questionnaire completed by 105 Multi-Channel-experienced customers of an Austrian consumer electronics retail store, factors were investigated upon their influence on customer loyalty. Through a PLS path model, we found that MCISQ and M-S-QUAL together account for 44.8% of the variance in customer loyalty, and that 22.7% and 52.9%, respectively, have a significant influence on this dependent variable. Concluding it seems that today’s customers are mostly ready for No-Line-Commerce and that the concept is generally feasible.
Phylogeographic patterns of decapod cr at the Atlantic – Mediterranean transitio

Comparative multispeci cesses on phylogeograp seven decapod crustace of 769 individuals were effect of three putative A significant effect of th tuberculatus. The Ibiza C was not found to have a ture were found in shal to obtain a conclusive p be related with past clim the large diversity of ph torical and contempora the phylogeographic pa 1
Acromegaly in Cats

Acromegaly is the term used in human medicine to describe a condition resulting from chronic excessive growth hormone (GH) secretion. The term hypersomatotropism (HST) rather than acromegaly may be appropriate when describing the condition resulting from chronic excessive GH secretion in cats because growth hormone-induced soft tissue and bone enlargement is more difficult to identify in adult cats. GH affects nearly every tissue in the body and predominantly causes increased protein synthesis and growth. GH is also a potent insulin antagonist and almost all acromegalic cats have concurrent diabetes mellitus. The estimated prevalence of acromegaly in cats in the UK is between 1 in 800 to 1 in 1000. The veterinary nurse plays a key role in educating owners about acromegaly and the management of affected cats. This article describes the pathophysiology and diagnosis of acromegaly in cats and what treatment options are currently available.
Building Intelligent Service Desk Systems using AI

Service desk system helps the users of the organization to raise the problem tickets by selecting the appropriate problem category and to obtain the solution to user problems. Manual selection of ticket category may result in dispatching the tickets to incorrect resolution group. Incorrect assignment of service desk tickets in turn results in reassignment of tickets, resolution time delay and greatly affects the organization business. The current service desk system does not handle the user’s unstructured ticket data efficiently. Therefore, artificial intelligence concepts like machine learning and natural language processing techniques can be used to automate the existing service desk systems. In this research paper, an automated service desk ticket classifier model is developed to automatically categorize the incoming ticket by analyzing the unstructured natural language ticket description entered by the end user. Supervised machine learning techniques like Decision trees and Naive Bayes models are used as baseline classifiers to build the service desk ticket classifier. Further, ensemble models are also used to analyze the performance of ticket classifier. Ensemble of decision trees, naive bayes and Random Forest classifiers are used as a part of ensemble classifier techniques. The performance of chosen ticket classifier models are evaluated on a real world IT infrastructure ticket dataset and compared using various performance metrics. Ensemble based Random Forest classifier performed well when compared to all other considered models. The proposed model for the auto categorization of service desk tickets results in simplified user interface, faster ticket resolution, efficient resource utilization and improved growth in business. A R T I C L E H I S T O R Y Received: 2019-06-20
Exercise interventions for preventing dementia or delaying cognitive decline in people with mild cognitive impairment

This is a protocol for a Cochrane Review (Intervention). The objectives are as follows: To evaluate the eJects of exercise interventions for preventing dementia in people with mild cognitive impairment. We refer to Forbes 2015b and Forbes 2015c for the review protocols on exercise interventions for maintaining cognitive function in cognitively healthy people in mid and late life. Exercise interventions for preventing dementia or delaying cognitive decline in people with mild cognitive impairment (Protocol) Copyright © 2015 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd. 1 Cochrane Library Trusted evidence. Informed decisions. Better health. Cochrane Database of Systematic Reviews
The S PARQLING system for SPARQL queries over G RAPHOL ontologies

In this demo we present the SPARQLING system for SPARQL query building based on the GRAPHOL visual language for ontologies. The characterizing feature of SPARQLING is the idea to preserve and take advantage of the native diagrammatic representation of GRAPHOL ontologies, allowing the user to navigate it, and to construct a graph-based representation of the query over it through a simple point-and-click mechanism. The system then automatically transforms the graphical query into the SPARQL syntax.
Molecular detection of common pistachio psylla (Agonoscena pistaciae Burckhardt & Lauterer) in the gut contents of Oenopia conglobata Beetles

Agonoscena pistaciae is the important pest of pistachio orchard in the world. In order to detect this pest in the gut contents of arthropod predators, three molecular markers were developed from A. pistaciae cytochrome oxidase I fragment in this study. Three designed forward primers could amplify three fragments of different lengths (210, 291, 446 bp). Primer sensitivity and detection period for pistachio psylla residue in the gut contents of Oenopia conglobata were determined in the laboratory conditions. These molecular markers were able to amplify a very small amount of target DNA in the presence of substantially greater amounts of predator's DNA. The time calculated for median detection success for three markers were determined at 25 °C: 16.543 h, 18.322 h, 18.951 h and at 30 °C: 14.203 h, 16.399 h, 17.396 h, respectively. DNA of A. pistaciae was detected in longer time by using these primers that produce the shorter fragment. These primers have this potential to be used for ecological studies of predator-prey interactions in the field.
DEM Working Papers It ’ s not austerity . Or is it ? Assessing the effect of austerity on growth in Europe , 2010-15

While the debate over the relationship between austerity and growth in Europe has been lively and intense, systematic and rigours empirical analysis has remained underdeveloped. With this econometric study of a panel of European countries and the US from 2010 to 2015, we have sought to fill this gap. In particular, our study is organised as a ”test” of the ”it’s not austerity” hypothesis, i.e. that austerity cannot be regarded as the explanatory variable of the post-crisis poor growth in Europe. To this end, we have articulated this hypothesis in four control variables of the growth-austerity relationship accounting for external competitiveness, the sovereign debt crisis, the general efficiency of the economy, and the composition effect of austerity between (less) expenditure and (more) taxation. As further control variable we have also considered one-year official forecasts of austerity. Austerity has been identified as a year-to-year increase in the structural primary balance relative to potential GDP. Upon estimating a static relationship using year-to-year changes in the variables with two methods (two-way fixed effects and Pesaran’s PCCE (2006)), and a dynamic one, aimed at capturing longer-run effects, with the Arellano-Bond difference panel estimator, our main conclusion is that the ”it’s not austerity” hypothesis does not pass our test. The austerity coefficient is significant in all estimated relationships (except one) with the ”Keynesian” theoretical sign, i.e. a negative effect on GDP growth in a range between 0.7 and 0.9 in the static specification and slightly lower in the dynamic one. On the other hand, the evidence also indicates that austerity cannot be regarded as the single negative factor impinging on growth in the panel under examination. The general efficiency of the economy has also played a role, but what emerges as the more significant co-determinant is the increase in the debt/GDP ratio, with an effect on growth comparable to austerity (or ∗We are grateful to Vincenzo Carrieri, Sergio Destefanis, Fausto Galli and Markus Eberhardt for useful comments. The usual disclaimer applies. †University of Salerno, Department of Economics and Statistics, Via Ponte Don Melillo, 84084, Fisciano (SA) Italy (e-mail: mfragetta@unisa.it) ‡Instituto Universitario de Lisboa (ISCTE – IUL) BRU – IUL, Lisboa, Portugal §CELPE, University of Salerno, Centro di Economia del Lavoro e di Politica Economica ¶Department of Economics and Management, University of Trento, Trento (Italy)
Caractérisation de l’exposition aux champs magnétiques basses fréquences dans la commune de Champlan

Dans le cadre du programme d’etudes d’expositions environnementales a Champlan (Essonne) coordonne par l’Agence de l’environnement et de la maitrise de l’energie (Ademe) en 2006-2008, l’Agence francaise de securite sanitaire de l’environnement et du travail (Afsset) a realise une etude de l’exposition aux champs magnetiques basses frequences (BF). Cette commune situee au sud de Paris est surplombee sur son flanc ouest par des lignes de transport d’electricite a tres haute tension (THT), sources chez certains riverains d’inquietudes quant a leurs eventuels impacts sanitaires. Ce projet, qui a necessite la mise en place d’un laboratoire de mesure des champs magnetiques BF par l’Ecole superieure d’electricite, avait notamment pour but de montrer la faisabilite des mesures d’expositions individuelles aux champs. Dix-sept habitants volontaires de Champlan ont ainsi porte, pendant 24 heures, un appareil de mesure des champs magnetiques capable de discerner les sources d’exposition : lignes THT, appareils electromenagers, outils de bricolage, ou encore portiques de detection antivol… L’analyse des differents enregistrements recueillis fait ressortir une grande disparite d’exposition spatiale et temporelle. Les expositions moyennes pendant 24 heures des personnes residant a moins de 100 m des lignes THT se situent dans une fourchette de 0,06 a 2 μT, en fonction des distances aux lignes et des habitudes de vie. Pour les personnes situees en dehors de la zone d’influence des lignes, leur exposition moyenne varie entre 0,01 et 0,2 μT. Cette etude montre qu’il est tout a fait realisable de mesurer l’exposition individuelle de maniere tres precise au cours du temps, et de tracer ainsi des expositions relativement intenses mais breves provenant par exemple d’appareils electromenagers, mais aussi des expositions issues des lignes THT, avec leurs variations quotidiennes liees au transport du courant. Ces outils methodologiques sont extremement importants pour la definition de protocoles d’etudes epidemiologiques rigoureux.
Harmonic Analysis and Active Filtering in Offshore Wind Power Plants

Due to presence of long high voltage cable networks, and power transformers for the grid connection, the offshore wind power plants (OWPPs) are susceptible to harmonic distortion and resonances. The grid connection of OWPP should not cause the harmonic distortion beyond the permissible limits at the point of common coupling (PCC). The resonance conditions should be avoided in all cases. This paper describes the harmonic analysis techniques applied on an OWPP network model. A method is proposed to estimate the harmonic current compensation from a shuntconnected active power filter to mitigate the harmonic voltage distortion at the PCC. Finally the harmonic distortions in the compensated and the uncompensated systems are compared to demonstrate the efficacy of the compensation. Keywords-harmonic distortion, offshore wind power plant, driving point impedance, transfer impedance, resonance, active filter.
Context S enseti ve Reasoning Based Information Technology for Intelligent Agents

To operate successfully in a complex world, intelligent agents must exhibit context-sensitive behavior. Context impacts the appropriateness of virtually all aspects of an agent's behavior, yet most existing reasoning approaches pay little if any attention to explicitly recognizing, reasoning about, and making use of knowledge about the current context. This paper suggests a mechanism on schema-based reasoning that uses (c-schemas) to explicitly represent contexts an agent may encounter. The agent's context manager retrieves the best c-schemas from its memory based on features of its current situation, then merges them to form a view of the current context, This is then used to set behavioral parameters, initiate and terminate context-specific actions, focus its attention on appropriate goals to achieve, select actions for achieving them, and rapidly and appropriately handle unanticipated events.
Recombinant Human Erythropoietin : Benefits in Veterinary Medicine

Recombinant human erythropoietin (rhEPO) is one of the biotechnology-based drugs that are needed by the human medicine and has also been used in the veterinary medicine. Currently RhEPO has been widely used in the world of human medicine for the treatment of anaemia caused by renal failure, cancer, chronic inflammation and AIDS. In veterinary medicine, although there is still not much data on its achievements, rhEPO has also been used for cases of chronic renal failure in dogs and cats. However, since rhEPO is not identical to feline EPO and canine EPO, some patients eventually produce antibodies against the drug. The antibodies not only prevent EPO therapy from being effective, but also may lead to severe and life-threatening anemia. This paper provides a review of the use of RhEPO, rfEPO and rcEPO in veterinary medicine, especially for the purpose of non-regenerative anemia therapy in cases of chronic renal failure in dogs and cats.
Sustaining Wheat Physiology, Biomass and Yield through Nitrogen Management under Contrasting Environmental Conditions

Optimizing the nitrogen (N) timings and rate can improve nutrient uptake, and nutrient-efficiencies, especially of N in wheat under the changing climate scenario. Climatic stress in the form of high temperature and drought resulted in the decreased crop physiology and, ultimately, grain yield. Taking the example of rainfed wheat, we quantified the impact of N application rates as full and split-dose at three variable sites of rainfed Pothwar, Pakistan by conducting field experiments for two years (2013-14 and 201-15). Treatments include, T1 = Control (No fertilizer applied), full dose of N applied at the time of crop sowing, i.e. T2 = 50 kg N ha-1, T3 = 100 kg N ha-1 and T4 = 150 kg N ha-1 and split application of N at different timings during different stages of the crop called as split application of N, i.e. T5: Application of 50 kg N ha-1 (15 kg N ha-1 (Sowing) : 20 kg N ha-1 (Tillering) :15 kg N ha-1 (Anthesis), T6: Application of 100 kg N ha-1 (30 kg N ha-1 (Sowing): 40 kg N ha-1 (Tillering) : 30 kg N ha-1 (Anthesis) and T7: Application of 150 kg N ha-1(45 kg N ha-1 (Sowing) : 60 kg N ha-1 (Tillering) : 45 kg N ha-1 (Anthesis). Three study sites include viz. Islamabad (High rainfall with optimum temperature), University Research Farm (URF)-Koont (Medium rainfall with moderate temperature), and Talagang (low rainfall with high temperature). Results showed that the highest stomatal conductance (0.80 mole m-2 sec-1), net photosynthetic rate (20.07 μmole m-2s-1), transpiration rate (9.58 mmole m-2s-1), intercellular CO2 concentration (329.25 μmole CO2 mol-1 air), SPAD values (58.86 %) and proline contents (35.42 μg g-1) were obtained for split application of N (T6 = Split N100) compared to control and full dose of N treatments. Among sites, these physiological traits remained highest at Islamabad and lowest at Talagang, while among years, maximum values of the measured parameters were obtained in 2013-14. A similar trend was observed for crop total N, N efficiencies, and agronomic traits of the crop. Our results suggest that optimum N application rate and its suitable timings can help to harvest real benefits of N as in our findings, split dose resulted in the maximum performance of the crop from physiological parameters to the agronomic traits of the rainfed wheat crop.
Soft construction of Floer-type homologies

Floer homology is a good example of homological invariants living in the infinite dimension. We suggest a way to construct this kind of invariants using only soft essentially finite-dimensional tools; no hard analysis or PDE is involved. This work is partially inspired by the M. Gromov's survey ``Soft and hard symplectic geometry'' at ICM-86.
CONDITIONAL FRAGILITY FUNCTIONS AND THE UNCERTINTY IN VULNERABILITY ASSESSMENT OF BUILDING PORTFOLIOS

State-of-the-art methods for the assessment of building fragility consider the structural capacity and seismic demand variability in the estimation of the probability of exceeding different damage states. However, questions remain regarding the appropriate treatment of such sources of uncertainty from a statistical significance perspective. In this study, material, geometrical and mechanical properties of a number of building classes are simulated by means of a Monte Carlo sampling process in which the statistical distribution of the aforementioned parameters is taken into consideration. Record selection is performed in accordance with hazard-consistent distributions of a comprehensive set of intensity measures, and issues related with sufficiency, efficiency, predictability and scaling robustness are addressed. Based on the appraised minimum number of ground motion records required to achieve statistically meaningful estimates of response variability conditioned on different levels of seismic intensity, the concept of conditional fragility functions is presented. These functions translate the probability of exceeding a set of damage states as a function of a secondary sufficient intensity measure, when records are selected and scaled for a particular level of primary seismic intensity parameter. It is demonstrated that this process allows a hazard-consistent and statistically meaningful representation of uncertainty and correlation in the estimation of intensity-dependent damage exceedance probabilities.
Applying QANet to SQuAD 2 . 0

In this paper, we build a question answering system for the Stanford Question Answering Dataset (SQuAD) 2.0. Our model is heavily based on the QANet model proposed by Yu et al[5] and adapted to work on the version 2.0 dataset. On the dev dataset, our model achieved an F1 score of 68.98 and an EM score of 65.79. On the test set, an ensemble of models achieved an F1 score of 67.44 and an EM score of 63.96.
Caudal Epidural Ropivacaine versus Bupivacaine In Pediatric Patients For Infra-Umbilical Surgeries.

Aims and Objectives: 1. To assess the quality of sensory and motor blockade. 2. Duration of Sensory & motor blockade. 3. Duration of postoperative analgesia. Material and Method: In a double blind study, 60 patients of (age 1-8 years) ASA grade I and II were randomly allocated in two groups to receive 1ml/ kg of either 0.25%Ropivacaine or 0.25% Bupivacaine via caudal epidural route. Group ‘R’ was Ropivacaine group = 30 patients and Group ‘B’ was Bupivacaine group = 30 patients. Caudal block was performed in all patients after induction of anesthesia with sevoflurane and oxygen. All the results were tabulated and analyzed statistically. Results: There were statistically no significant difference between the groups, in respect of quality of sensory block and quality of motor block (p > 0.05). The duration of motor block in Group ‘R’ was 1.93±0.46 hours while in Group ‘B’ ,it was 5.1±1.09 hours (p<0.05). The mean duration of postoperative analgesia was 4.96±1.26 hours in group ‘R’ compared with 4.56 ± 1.26 hours in group ‘B’ (p>0.05). The mean pain score of patients in both groups were comparable. Conclusion: Ropivacaine is a safe and effective local anesthetic agent which provides prolonged postoperative analgesia but significantly less motor blockade as compared with Bupivacaine following caudal block in pediatric patients undergoing infra-umbilical surgeries.