Miracle-dz/UniFAR-FTUs huggingface dataset:
The Mitigators of Ad Irritation and Avoidance of YouTube Skippable In-Stream Ads: An Empirical Study in Taiwan

On YouTube, skippable in-stream advertisements (ads) are critical income for both YouTube and content creators. However, ads inevitably irritate viewers, and as a result, they tend to avoid ads. Thus, this study attempts to identify potential mitigators—source attractiveness and reciprocal altruism—of ad irritation and avoidance in the context of YouTube skippable in-stream ads. Using an online survey (n = 512) in Taiwan, the proposed model is examined by a partial least squares structural equation modeling analysis. The findings show that while ad irritation has a positive effect on ad avoidance, reciprocal altruism can significantly reduce both ad irritation and avoidance. However, source attractiveness fails to mitigate ad irritation and avoidance. Theoretical and managerial implications of these findings are discussed, and several solutions for reducing ad irritation and avoidance are provided.
Moduli of wild Higgs bundles on CP1 with C×-actions

We study a set MK ,N parameterising filtered SL(K )-Higgs bundles over CP1 with an irregular singularity at z = ∞, such that the eigenvalues of the Higgs field grow like |λ| ∼ |zN/K dz|, where K and N are coprime. MK ,N carries a C×-action analogous to the famous C×-action introduced by Hitchin on the moduli spaces of Higgs bundles over compact curves. The construction of this C×-action on MK ,N involves the rotation automorphism of the base CP1. We classify the fixed points of this C×-action, and exhibit a curious 1-1 correspondence between these fixed points and certain representations of the vertex algebra WK ; in particular we have the relation μ= k − 1 − ceff/12, where μ is a regulated version of the L2 norm of the Higgs field, and ceff is the effective Virasoro central charge of the corresponding W -algebra representation. We also discuss a Białynicki–Birulatype decomposition of MK ,N , where the strata are labeled by isomorphism classes of the underlying filtered vector bundles. 2020 Mathematics Subject Classification: 53C07 (Primary); 53C56 (Secondary)
Gaia Early Data Release 3-Structure and properties of the Magellanic Clouds

Context. This work is part of the Gaia Data Processing and Analysis Consortium papers published with the Gaia Early Data Release 3 (EDR3). It is one of the demonstration papers aiming to highlight the improvements and quality of the newly published data by applying them to a scientific case. Aims. We use the Gaia EDR3 data to study the structure and kinematics of the Magellanic Clouds. The large distance to the Clouds is a challenge for the Gaia astrometry. The Clouds lie at the very limits of the usability of the Gaia data, which makes the Clouds an excellent case study for evaluating the quality and properties of the Gaia data. Methods. The basis of our work are two samples selected to provide a representation as clean as possible of the stars of the Large Magellanic Cloud (LMC) and the Small Magellanic Cloud (SMC). The selection used criteria based on position, parallax, and proper motions to remove foreground contamination from the Milky Way, and allowed the separation of the stars of both Clouds. From these two samples we defined a series of subsamples based on cuts in the colour-magnitude diagram; these subsamples were used to select stars in a common evolutionary phase and can also be used as approximate proxies of a selection by age. Results. We compared the Gaia Data Release 2 and Gaia EDR3 performances in the study of the Magellanic Clouds and show the clear improvements in precision and accuracy in the new release. We also show that the systematics still present in the data make the determination of the 3D geometry of the LMC a difficult endeavour; this is at the very limit of the usefulness of the Gaia EDR3 astrometry, but it may become feasible with the use of additional external data. We derive radial and tangential velocity maps and global profiles for the LMC for the several subsamples we defined. To our knowledge, this is the first time that the two planar components of the ordered and random motions are derived for multiple stellar evolutionary phases in a galactic disc outside the Milky Way, showing the differences between younger and older phases. We also analyse the spatial structure and motions in the central region, the bar, and the disc, providing new insights into features and kinematics. Finally, we show that the Gaia EDR3 data allows clearly resolving the Magellanic Bridge, and we trace the density and velocity flow of the stars from the SMC towards the LMC not only globally, but also separately for young and evolved populations. This allows us to confirm an evolved population in the Bridge that is slightly shift from the younger population. Additionally, we were able to study the outskirts of both Magellanic Clouds, in which we detected some well-known features and indications of new ones.
THE IMPACT OF INVESTMENT DIVERSIFICATION ON FINANCIAL PERFORMANCE OF COMMERCIAL BANKS IN ETHIOPIA

Commercial banks play an important role in the development of a country. A sound, progressive and dynamic banking system is a fundamental requirement for economic development. Thus, the purpose of this study was investigating the impact of investment diversification on financial performance of 17 Ethiopian Commercial Banks covering the period of 2013-2017.Quantitative research approach was used and the data was analysed by using panel random effect regression model. The finding of the study shows that investment in financial assets, government security, insurance, loan portfolio and investment size have positive significant impact on financial performance of Banks in Ethiopia. Whereas, interest and exchange rate volatility have negative significant impact on financial performance of commercial Banks in Ethiopia. The study concludes that investment diversification positively affects the financial performance of commercial banks in Ethiopia. Therefore, banks should focus its work to promote the confidence in portfolio diversification, develop marketing policies that encourage its use and establish the best combination of assets that can yield an efficient portfolio.
How to Trust Hotel Website?

: Industry 4.0 has changed the industrial strategy to improve performance. The Hotel Industry strives to continue to increase the number of rooms booked by maximizing the benefits of technology; one of them through the website. The purpose of this study is to examine the effect of the hotel website (website quality) on guest trust (e-Trust). The research method involves a quantitative approach where the data analysis technique of simple linear regression was deployed. The results of this study showed that the image of website quality and e-trust in the Trans Luxury Hotel website is in a very strong category while the influence of website quality on e-trust is 87.6 percent. It can be concluded that the quality of the website (website quality) will affect guest trust (e-Trust).
Evaluation of Various Chemicals Against Citrus Canker on Grapefruit cv. Shamber

A good quality fruit fetches a high market value. Citrus canker disease badly affects quality of citrus fruits including grapefruit. The present study was conducted to find out suitable chemicals, alone or incombination, for the control of citrus canker. The experiment was conducted on 15-year-old disease-affected grapefruit cv. Shamber plants in the orchard of Horticultural Research Station, Sahiwal to control the disease for better quality fruit production. Therefore, four sprays of Aliette (300 g 100 L-1 of water), Bordeaux mixture (1:1:100), Flare (100 g 100 L-1 of water) or Bordeaux mixture + Flare were applied; two in the month of March and other two in the month of August with fifteen days interval along with control (no chemical). Combined application of Bordeaux mixture and Flare reduced the attack of citrus canker on leaves and fruits. Comparatively lower values of affected leaves (1.27%), lesions per leaf (0.40), affected fruits (0.25 %) and lesions per fruit (0.22) were observed in the treatment in which a combination of Bordeaux mixture and Flare was sprayed on the plants. The disease percentage was high on leaves and fruits of unsprayed (control) plants, while other thee treatment were in the middle in their efficacy to control the disease.
Extracting Trafﬁc Smoothing Controllers Directly From Driving Data using Ofﬂine RL

Recent work has demonstrated that autonomous vehicles (AVs) can be used to smooth emergent trafﬁc shock-waves and improve the resultant energy efﬁciency of trafﬁc. Building the controllers for these vehicles usually involves building a simulator as an intermediate step; this involves careful estimation of human driving dynamics and network calibration which can be challenging at scale. We investigate whether it is possible to learn optimal trafﬁc controllers by using the abundance of available human driving data. We use Ofﬂine Reinforcement Learning to extract controllers from "human" driving data collected from simulator runs. In contrast to expectations that data from an expert or random policy is needed, we demonstrate that assuming slightly noisy models of human driving is sufﬁcient to generate data that covers the state space enough to extract effective controllers. We compare with a hand-designed linear controller and show that our controller signiﬁcantly outperforms it. This suggests the possibility of directly extracting trafﬁc smoothing policies from abundant driver data collected from deployed AVs.
Abnormal Human Behavior Detection in Videos: A Review

Modeling human behavior patterns for detecting the abnormal event has become an important domain in recentyears. A lot of efforts have been made for building smart video surveillance systems with the purpose ofscene analysis and making correct semantic inference from the video moving target. Current approaches havetransferred from rule-based to statistical-based methods with the need of efficient recognition of high-levelactivities. This paper presented not only an update expanding previous related researches, but also a study coveredthe behavior representation and the event modeling. Especially, we provided a new perspective for eventmodeling which divided the methods into the following subcategories: modeling normal event, predictionmodel, query model and deep hybrid model. Finally, we exhibited the available datasets and popular evaluationschemes used for abnormal behavior detection in intelligent video surveillance. More researches will promotethe development of abnormal human behavior detection, e.g. deep generative network, weakly-supervised. It isobviously encouraged and dictated by applications of supervising and monitoring in private and public space.The main purpose of this paper is to widely recognize recent available methods and represent the literature ina way of that brings key challenges into notice.
A Review of Tabular Data Synthesis Using GANs on an IDS Dataset

Recent technological innovations along with the vast amount of available data worldwide have led to the rise of cyberattacks against network systems. Intrusion Detection Systems (IDS) play a crucial role as a defense mechanism in networks against adversarial attackers. Machine Learning methods provide various cybersecurity tools. However, these methods require plenty of data to be trained efficiently, which may be hard to collect or to use due to privacy reasons. One of the most notable Machine Learning tools is the Generative Adversarial Network (GAN), and it has great potential for tabular data synthesis. In this work, we start by briefly presenting the most popular GAN architectures, VanillaGAN, WGAN, and WGAN-GP. Focusing on tabular data generation, CTGAN, CopulaGAN, and TableGAN models are used for the creation of synthetic IDS data. Specifically, the models are trained and evaluated on an NSL-KDD dataset, considering the limitations and requirements that this procedure needs. Finally, based on certain quantitative and qualitative methods, we argue and evaluate the most prominent GANs for tabular network data synthesis.
Hepato-renal protective effect of vitamin C against toxicity induced by ceftriaxone in rats

The current study was carried out to evaluate the effect of vitamin C on ceftriaxone induced adverse effects in rats. Twenty-four adult male albino rats were randomly divided into 3 equal groups. Group(I) received 1ml saline orally once daily for 14 days. Group(II) received 1ml saline orally once daily for 7 days followed by a 7-once day-treatment with ceftriaxone intra-peritoneally(180 mg/kg b. wt.). Group(III) received vitamin C orally(100 mg/kg b. wt.) once daily for 7 days , followed by a 7-once day-treatment with both oral vitamin C and intraperitoneal ceftriaxone. At the end of the experiment, half of animals were sacrificed under light ether anesthesia on 1 day post-treatment and the other half on 7 day post-treatment. Blood samples were collected for biochemical analysis. Livers and kidneys were collected for histo-pathological examination. Biochemical analysis revealed a significant increase in serum levels of alanine aminotransferase (ALT), aspartate aminotransferase(AST), urea, creatinine and malondialdehyde (MDA). with a significant decrease in catalase(CAT) and superoxide dismutase (SOD) activities in ceftriaxone treated group. Group(III) showed a significant decrease in serum levels of ALT, AST, urea, creatinine and MDA, with a significant increase in CAT and SOD activities. Histopathological examination of liver and kidney of rats in group(II) showed severe hepatocellular necrosis, macrosteatosis, portal fibrosis, portal inflammatory cells infiltrations, necrotic renal tubules and glomerular changes. An improvement of histopathological pictures of liver and kidney was recorded in group(III). This study concluded that vitamin C ameliorates the biochemical and histopathological changes associated with ceftriaxone treatment in rats.
Annually Radiographic Periodontal Bone Loss Rates of Tooth Affected SevereAdvanced Periodontitis with Secondary Occlusal Traumatism

Objective: The purpose of present study was to evaluate the differences of teeth using annually radiographic alveolar bone loss in cases involved severe advanced periodontitis with secondary occlusal traumatism among at the baseline of periodontal evaluation. Materials and methods: A total 1013 tooth of 53 individuals affected severe advanced periodontitis with secondary occlusal traumatism was examined annually radiographical periodontal bone loss for maxillary and mandibular molars and non-molars teeth with and without secondary occlusal traumatism. The annually radiographical periodontal bone loss of teeth affected severe advanced periodontitis with secondary occlusal traumatism were calculated using the digital scanning radiographic image analysis. Results: Results showed 1) that he reliability coefficient of interexaminer and intraexaminer measurements of ARABL of teeth for maxillary, mandibular and both arches of teeth with SAP using DSRIA indicated a statistically significant difference (p<0.001) using two-sample t-test; 2) that differences of ARABL (mm/yr.) in maxillary and mandibular teeth with SOT and without SOT in Individuals, respectively, and showed a statistically significance (p<0.0001) using two-sample t-test; 3) that the differences of ARABL (mm/yr.) on molars and non-molars with and without SOT in maxillary and mandibular arches, respectively, and showed a statistically significant difference (p<0.001) using two-sample t-test; 4) that the differences of ARABL (mm/yr.) on non-molars with and without SOT in both the maxillary and mandibular arches, respectively, and presented a significant difference (p<0.0001) using two-sample t-test. Conclusion: We concluded that the means of annually radiographic alveolar bone loss on teeth affected severe advanced periodontitis with secondary occlusal traumatism were significantly greater losses than the teeth without secondary occlusal traumatism, irrespective of maxillary and mandibular molars or non-molars. Clinical relevance: This is the first report to address the periodontal bone lose rate per year of naturally progressing severe advanced periodontitis affected secondary occlusal traumatism using the digital scanning radiographic image analysis in Taiwanese subjects at the baseline data.
PERCEPTION ATTITUDE AND PRACTICE OF CERVICAL SCREENING AMONG NURSES IN ADEOYO MATERNITY HOSPITAL

This study examines the perception, attitude and practice of nurses towards cervical screening. A descriptive cross-sectional survey was adopted for this study and a simple random sampling technique was used to select two hundred and fifty (250) nurses as data for the study. Data were collected through a self -structured questionnaire with a reliability co-efficient score of 0.85 and analysed using descriptive statistics. The result was presented with tables, frequency distribution and percentages. The result of this study shows that the respondents had positive perception and attitude towards cervical screening, but their practice level is inadequate. It is therefore recommended that the screening should be made compulsory for all female health workers.
Cooperative SGD: A Unified Framework for the Design and Analysis of Local-Update SGD Algorithms

When training machine learning models using stochastic gradient descent (SGD) with a large number of nodes or massive edge devices, the communication cost of synchronizing gradients at every iteration is a key bottleneck that limits the scalability of the system and hinders the beneﬁt of parallel computation. Local-update SGD algorithms, where worker nodes perform local iterations of SGD and periodically synchronize their local models, can eﬀectively reduce the communication frequency and save the communication delay. In this paper, we propose a powerful framework, named Cooperative SGD, that subsumes a variety of local-update SGD algorithms (such as local SGD, elastic averaging SGD, and decentralized parallel SGD) and provides a uniﬁed convergence analysis. Notably, special cases of the uniﬁed convergence analysis provided by the cooperative SGD framework yield 1) the ﬁrst convergence analysis of elastic averaging SGD for general non-convex objectives, and 2) improvements upon previous analyses of local SGD and decentralized parallel SGD. Moreover, we design new algorithms such as elastic averaging SGD with overlapped computation and communication, and decentralized periodic averaging which are shown to be 4x or more faster than the baseline in reaching the same training loss.
Pharmacological Studies on Marbofloxacin on Diarrheic Calves

One –hundred diarrheic calves were used to differentiate various reasons for calf diarrhea by using rapid diagnostic kits which found the main causative agents for diarrhea occurrence are corona virus (28%), Rota virus (25%), Cryptosporidium (24%) and E. coli (23%), Respectively, in addition to study concurrent use of marbofloxacin (a third generation member of quinolone) in treatment of diarrheic calves infected with E. coli. Then twenty Holstein calves (0-10 days old) in special dairy farm at Damietta Governorate were isolated and divided into two groups, each group contain ten animals. First group was kept as control without any drug. The second group include ten diarrheic calves infected with E-coli and was injected by marbofloxacin intramuscularly (2mg/kg B. W) for 3 successive days. Results revealed a significant increase in total leukocytic count, lymphocyte count, monocyte count, eosinophil count, globulin, ALT, AST, ALP, creatinine and urea level. On other hand results recorded a significant decrease in total erythrocytic count, hemoglobin content, PCV, MCH, MCHC, total protein, Albumin and thrombocyte count in marbofloxacin treated group compared to control one.
SISSA Preprint 78/2010/fm arXiv:1011.1003 PICARD GROUP OF HYPERSURFACES

We show that the usual sufficient criterion for a very general hypersurface in a smooth projective manifold to have the same Picard number as the ambient variety can be generalized to quasi-smooth hypersurfaces in complete simplicial toric varieties. This sufficient condition always holds for very general K3 surfaces embedded in Fano toric 3-folds. Date: July 10, 2011. 1991 Mathematics Subject Classification. 14C22,14J70, 14M25. E-mail: bruzzo@math.upenn. edu, bruzzo@sissa.it, grassi@sas.upenn. edu. † On leave of absence from Scuola Internazionale Superiore di Studi Avanzati, Via Bonomea 265, 34136 Trieste, Italy Support for this work was provided by the NSF Research Training Group Grant DMS-0636606, by prin “Geometria delle varietà algebriche e dei loro spazi dei moduli ” and the infn project pi14 “Nonperturbative dynamics of gauge theories”. U.B. is a member of the vbac group. 1 2 PICARD GROUP OF HYPERSURFACES IN TORIC 3-FOLDS
ETFs and the Pricing Efficiency of Large-Capitalisation Stocks

This paper investigates the impact of changes in the level of exchange traded fund ownership of securities comprising the Dow Jones Industrial Average between 2013 and 2017. Implications associated with the rise in ETF prominence over this period are examined with regards to trading costs of the underlying assets and, relatedly, to the informational efficiency of their share prices. Consistent with findings published in the study of Israeli, et al. (2017) and others, evidence supporting an ETF-driven increase in trading costs is found over quarterly and monthly observations. Association found between changes in ETF ownership and stock return synchronicity; defined as the extent to which variation in firm-level returns is explained by market and sector returns, indicates an increase in the incorporation of firm-specific information for large-cap stocks. This finding, albeit inconclusive, deviates from previous studies and suggests that compensation for costly information acquisition is sufficient to entice informed traders in large-cap stocks to the exchange traded fund vehicle. Table of
The role of phonological short-term memory in second language phonology

This study reports on the production of the five Spanish vowels in stressed and unstressed contexts by English-speaking advanced learners of Spanish at two experience levels who differed according to phonological short-term memory (PSTM) capacity. Our findings indicate that learners with higher PSTM capacity were less likely to reduce both stressed and unstressed vowels in Spanish. Consequently, learners with higher PSTM in fourth-year Spanish courses produced vowels that were more native-like than lower PSTM fourth-year learners. On the other hand, higher PSTM graduate students of Spanish produced a Spanish vowel space that was more expanded than that of native Spanish, particularly for /u/, compared to lower PSTM graduate learners, who were more native-like. These findings suggest that PSTM does play a role in second language phonology, even at advanced levels, and may help to explain why individual differences in pronunciation exist even at very high levels of second language proficiency.