Miracle-dz/UniFAR-FTUs huggingface dataset:
Spence children’s anxiety scale through parent report: Psychometric properties in a community sample of Iranian children

This study examined the psychometric properties of the parent version of the Spence Children’s Anxiety Scale [SCAS-P] as part of the process of developing the Spence Children’s Anxiety Scale for Parents in a community sample of Iranian children; 315 mothers and children aged six to ten years participated in the study. The results of confirmatory factor analysis provided support for six inter-correlated factors, that corresponded with the child self-report as well as with the classification of anxiety disorders by DSM-IV namely separation anxiety, generalized anxiety, social phobia, panic/agoraphobia, obsessive–compulsive disorder, and fear of physical injuries. The SCAS-P demonstrated moderate to high internal consistency (alpha = 0.65–0.89) and test– retest reliability (interclass correlation coefficients = 0.39–0.68 over 2 weeks). Evidence was found for both convergent and divergent validity: the measure correlated well with the parent report for internalizing symptoms, and lower with externalizing symptoms. A MANOVA indicated no significant gender or age differences for the total scale score or any subscale scores. The SCAS-P is recommended as a screening instrument for normal children.
THE IMPACT OF THE COVID-19 EPIDEMIC ON OLDER ADULTS’ EXPERIENCES WITH HEALTHCARE SERVICES Abstract Objective: Maintaining healthcare

Objective: Maintaining healthcare services consumption as needed during a pandemic crisis is important, in general, and specifically for older adults. Therefore, the current study aimed to examine factors associated with experiences related to healthcare services among Israeli older adults during the COVID-19 pandemic. Methods: A cross-sectional online survey was conducted among 261 older adults (aged 60+). Participants completed measures of perceived health status, COVID-19 perceived risk, knowledge about COVID-19, depression, coping resources, experiences with healthcare services (contact with a family physician, fear of contracting the virus via direct contact with the healthcare system). Two multiple regressions were calculated for the following dependent variables: contact with a family physician during COVID-19, and fear of contracting the virus via direct contact with the healthcare system during COVID-19. Results: Older adults’ contact with a family physician during COVID-19 was lower than their contact prior to the pandemic. A higher extent of contact with a family physician during COVID-19 was related to higher knowledge about COVID-19. In addition, a higher extent of fear of contracting the virus via direct contact with the health system during COVID-19 was related to lower years of education, higher COVID-19 perceived risk, and lower knowledge about COVID-19. Conclusions: The results could provide public health policymakers with a more complete picture of the impact of the COVID-19 crisis among older adults. This study highlights the characteristics and factors that encourage/discourage older Шири Шинан-Алтман, Инбар Левкович Амит Порат, Мордекаи Алперин УДК: 364-787.9-053.8:616.98:578]-036.22(569.4) DOI: https://doi.org/10.37509/socpol20160071sa
Scotland's Rural College Addressing global ruminant agricultural challenges through understanding the rumen microbiome: past, present and future Huws,

Huws, SA; Creevey, C; Oyama, LB; Mizrahi, I; Denman, SE; Popova, M; Munoz-tamayo, R; Forano, E; Waters, SM; Hess, M; Tapio, I; Smidt, H; Krizsan, S; Yanez-Ruiz, DR; Belanche, A; Guan, LL; Gruninger, RJ; McAllister, T; Newbold, J; Roehe, R; Dewhurst, RJ; Snelling, TJ; Watson, M; Suen, G; Hart, E; Kingston-Smith, A; Scollan, N; Do Prado, RM; Pilau, E; Mantovani, HC; Attwood, GT; Edwards, JE; McEwan, N; Morrison, S; Mayorga, O; Elliott, C; Morgavi, DP
A Large Scalar Multiplication Algorithm using Modified Pell Numbers for Key Generation

Modern Cryptographic methods consist of two parts, a key and an algorithm, which are used to encrypt and decrypt data. The key is an essential part that works with the algorithm. The security of encryption schemes depends on the key size (key length) and the longer the key, the better the security it provides. Applying an elliptic curve for key agreement provides a high-performance architecture and high security. The main process for calculating key points in Elliptic Curve Cryptography (ECC) is called scalar multiplication, which relates to point addition and point doubling. An e cient algorithm, proposed as the Large Scalar Multiplication Algorithm using Modi ed Pell Numbers (LSMA-MPN), was introduced to speed up the calculation of points on elliptic curves during large scalar multiplications. This system also reduced computation time by applying Modi ed Pell numbers in a 2×2 matrix representation. The experimental results show that computation time was reduced by approximately 67% in comparison with the computation time required by a general algorithm.
RESEARCH OUTPUTS / RÉSULTATS DE RECHERCHE

Many approaches for testing conﬁgurable software systems start from the same assumption: it is impossible to test all conﬁgurations. This motivated the deﬁnition of variability-aware abstractions and sampling techniques to cope with large conﬁguration spaces. Yet, there is no theoretical barrier that prevents the exhaustive testing of all conﬁgurations by simply enumerating them if the eﬀort required to do so remains acceptable. Not only this: we believe there is a lot to be learned by systematically and exhaustively testing a conﬁgurable system. In this case study, we report on the ﬁrst ever endeavour to test all possible conﬁgura-tions of the industry-strength, open source conﬁgurable software system: JHipster, a popular code generator for web applications. We built a testing scaﬀold for the 26,000+ conﬁgurations of JHipster using a cluster of 80 machines during 4 nights for a total of 4,376 hours (182 days) CPU time. We ﬁnd that 35.70% conﬁgura-tions fail and we identify the feature interactions that cause the errors. We show that sampling strategies (like
Surface Morphology of Air Plasma Sprayed Titania doped Yttria stabilized Zirconia Coatings

In this research, the influence of the projection parameters on the surface morphology of ZrO2-10% Y2O3-18% TiO2 coatings thermal sprayed by atmospheric plasma was determined. To do this, the surface morphology was characterized by Scanning Electron Microscopy for different conditions of deposition (Input Power and Spray Distance), the percentage of unmelted particles and porosity were simultaneously determined by image analysis, as well as the surface roughness of each coating. Finally, the influence of the projection parameters was established by means of a 2 factorial experimental design and analysis of variance, optimizing the results using a response surface methodology. The coatings presented an overlaid splats morphology with the presence of unmelted particles and a certain degree of porosity. It was found that with higher input power and shorter spray distance, a more homogeneous structure is obtained with fewer discontinuities (unmelted particles, porosity, roughness). The combined effect of the input power and the spray distance evaluated determines that the most favorable experimental combination achieves when the coating of ZrO2-10%Y2O3-18% TiO2 is deposited with a power of 38 kW and a spray distance of 80 mm.
The Effect of Brand Personality Perceived by Outdoor Ware Consumers on Brand Attitude and Brand Loyalty

Background/Objectives: The objective of this research is to examine the effect of brand personality of consumers on brand attitudes and brand loyalty. Methods/Statistical analysis: To achieve the research aim, this research involved a survey of 261 college students who had bought outdoor wears from March to May 2018. Data analysis revealed the following findings. Findings: First, it was established that attractiveness, self-expression, uniqueness, sense of identity, perceived by outdoor wear consumers, significantly impacts the brand attitude. Second, it was also established that attractiveness, self-expression, uniqueness and sense of identity, perceived by outdoor wear consumers, significantly affects brand loyalty. It was confirmed that brand personality perceived by real consumers of outdoor wears has significant effects on brand attitudes and brand loyalty. Through the systematic analysis of attributes related to actual buying behavior of outdoor wear consumers, this research provided the basis for developing effective consumer marketing strategies for makers of such brands. Improvements/Applications: Additionally, when applying brand personality to a sports site, consideration of brand personality depending on the objects or situation must be made. Therefore, research is necessary to comprehensively understand various personalities of outdoor wear brands, bearing in mind the consumers of different age groups.
Role of Procalcitonin in the Early Detection of Anastomotic Leaks After Esophagectomy

Anastomotic leaks are devastating complications after esophagectomy, and early diagnosis is crucial. We sought to assess the association between procalcitonin levels and anastomotic leaks in post esophagectomy patients. Procalcitonin (PCT) levels were prospectively collected on patients undergoing esophagectomy within our hospital system between postoperative days 1 and 11. All patients were evaluated for an anastomotic leak between postoperative day 4 and 9. The sensitivity, specificity, negative, and positive predictive values based on procalcitonin level were calculated.
Use of Birth Control Measures in Reducing Manday Losses of Rural Women in Fishing Communities of Lagos State, Nigeria

Good health is an asset to fisheries sector, as healthy people are more productive than people with health challenge. Fisheries contribute to rural women economic empowerment through income generation in the fishing communities. However, the productive capacity of the fish processors is threatened by multiple births and maternal mortality. Hence, this study was carried out to assess the use of birth control measures in reducing manday losses among rural women in the fishing communities of Lagos State, Nigeria. Purpose and simple random sampling technique were used to select three hundred and thirty-one respondents in the coastal areas. Data were analysed with chi-square and linear regression analysis. Results of the study showed that most of the respondents (70.1%) did not use traditional, natural and modern methods of birth control measures. But, it was reported that manday losses reduced to less than 30 days from 41 days after use of Birth Control Measures. Linear regression showed that significant relationship existed between use of birth control measures and manday losses at 1% level of significance (β = 0.37, p = 0.01) at p < 0.05 level of significance. Also, there is significant relationship between challenges to birth control measures and manday losses (χ 2 = 23.46, df = 4, p = 0.01) at p < 0.05 level of significance. It is recommended that sensitization on the benefits of birth control measures should be continuously carried out by Health Care Providers, Extension agents and media.
Silicone-modified graphene oxide fillers via the Piers-Rubinsztajn reaction

While graphene or graphene oxide can make significant improvements in the properties of a wide variety of polymeric materials, their incorporation can be challenged by incompatibility with the polymeric matrix. The modification of graphene oxide with silicones or silanes using the Piers-Rubinsztajn reaction improves dispersibility in nonpolar materials, including organic solvents and silicone pre-elastomers. A high loading (up to 10 wt %) of modified graphene oxide in silicone elastomers could be achieved, which resulted in enhanced mechanical performance and reduced gas permeability. © 2016 Wiley Periodicals, Inc. J. Polym. Sci., Part A: Polym. Chem. 2016, 54, 2379–2385
High-order Learning Model via Fractional Tensor Network Decomposition

We consider high-order learning models, of which the weight tensor is represented by symmetric tensor network (TN) decomposition. Although such models have been widely used on various tasks, it is challenging to determine the optimal order in complex systems (e.g., deep neural networks). To tackle this issue, we introduce a new notion of fractional tensor network (FrTN) decomposition, which generalizes the conventional TN models by allowing the order to be an arbitrary fraction. Due to the density of fractions in the ﬁeld of real numbers, the order of the model can be formulated as a learnable parameter and simply optimized by stochastic gradient descent (SGD) and its variants. We apply the proposed model to enhancing the classic ResNet-26/50 [13] and MobileNet-v2 [35] on both CIFAR-10 and ILSVRC-12 classiﬁcation tasks, and the results demonstrate the effectiveness attributed to the learnable order parameters in FrTN.
Cultural events for a sustainable tourism development in urban destinations: the case of Milan’s week

Purpose of the paper: The aim of this paper is to explore the effects generated by a suite of cultural micro-medium events in an urban destination on both hotels’ performance and the seasonality structure in order to promote sustainable tourism development. Methodology: The empirical analysis uses a mixed method that combines a quantitative analysis of the daily performance of a destination with a desk analysis of press interviews to local stakeholders. Findings: The results highlight a positive contribution of cultural micro-medium events to tourism at the destination. This evidence contributes to the academic debate on strategic event management by shedding light on the potential role of minor cultural events as a driver for sustainable tourism development. Practical implications: This study suggests guidelines to destination managers on how to benefit from micro-medium cultural events: a strong connection with the destination’s vocations, the importance of public-private collaboration and the establishment of a portfolio of recurrent events. Limitations of the research: This explorative study presents two main limitations: the authors cannot exclude that other small events were taking place in the city at the same time as the micro-medium cultural events analysed. Secondly, several of the events studied are recent and therefore their impact on the destination could be underestimated. Originality of the paper: During the last decades, the managerial literature has been devoting considerable attention to the role and the benefits generated by events. However, the main focus of these studies has been on large and mega events while little consideration has been dedicated to smaller events which are widespread, recurrent and relatively easier to manage.
Presidential Coattails : A Closer Look ∗

The electoral system is not the only political institution that shapes the number of parties competing in legislative elections: the system of government, otherwise known as the type of political regime, is also increasingly recognized by political scientists as having an important role to play (e.g., Shugart and Carey, 1992; Jones, 1994, 1999; Shugart, 1995; Amorim Neto and Cox, 1997; Cox, 1997; Mozaffar, Scarritt and Galaich, 2003; Golder, 2006; Clark and Golder, 2006; Hicken, 2009; Hicken and Stoll, 2011, 2013). Initially, scholars compared presidential and parliamentary regimes, finding that presidential regimes had fewer legislative parties (e.g., Lijphart, 1994). Most recent studies have taken a more nuanced approach (e.g., Golder, 2006). The effect of presidentialism, a.k. a. the coattails of presidential elections, has been found to depend upon two variables: the presidential party system and the electoral cycle, i.e., the temporal proximity of presidential and legislative elections. Specifically, presidential elections held in temporal proximity to legislative elections reduce the fragmentation of the legislative party system when there are few presidential candidates (the deflationary effect of presidentialism), but increase it when there are many presidential candidates (the inflationary effect of presidentialism). The more temporally proximate the presidential and legislative elections are, the larger this effect. Yet the quantitative empirical evidence regarding presidential coattails relies on some potentially problematic modeling choices (see, for example, Hicken and Stoll, 2011, 2013). For one, many studies treat all legislative and presidential elections held in the same year as concurrent, instead of distinguishing between truly concurrent (i.e., simultaneous) elections and those separated by anywhere from a few weeks to almost twelve months. For another,
Progress of Soil Nonlinearity Researches of Recent Years in Russia and Taiwan

Relevance. Soil nonlinearity has a significant influence on result seismic effect at strong motions which differ from weak and moderate ones. Practice of construction faced with adequate account of nonlinear effect in weak soils and demand techniques for design parameters assessment. Researches of recent years in the field of soil nonlinearity may enrich each other and find the main way for effective practices and building codes regularization. The aim of this work is allocation of parameters for nonlinearity description and corresponding techniques development. Methods. Field soil response analysis with sources of different power in conjunction with strong motion records were analyzed by means of regression analysis and other machine learning techniques. Mathematical modeling includes multiple reflected waves analysis technique and finite elements modeling. Results. The parameters that are closely related to the absorption and soil nonlinearity were identified. The empirical formulas connecting the areas of normalized and real spectra with the parameters of seismic loadings were obtained using regression analysis. The differences of absorption mechanism in dispersed (soft) and rocky soils were defined. Conclusion. The models of ground strata behavior in the case of variable intensity of dynamic action on the basis of consideration of the real area of the spectrum and the average value of the frequency, characterized by a linear and nonlinear elastic-inelastic deformation of the soils are offered. Degree of nonlinearity (DNL) metric may be efficiently used for stress-strain curve assessment, and in the absence of strong earthquakes records it can be applied for powerful seismic sources records analysis what determines the direction of future research.
Cberbullying Dection Using Semantic Enhanced Marginalized Denoising

As a side result of increasingly popular social media, cyberbullying has emerged as a serious problem afflicting children, teens and immature adults. Machine learning techniques makes automatic detection of singling out messages in social media possible, and this could help to build a hale and hearty and safe social media upbringing. In this meaningful research area, one critical issue is robust and discriminative numerical representation learning of text messages. In this report, we suggest a new illustration, learning method to tackle this problem. Our method named Semantic-Enhanced Marginalized Denoising Auto-Encoder (smSDA) is developed via semantic extension of the popular deep learning model stacked denoising autoencoder. The morphological extension consists of semantic dropout noise and sparsity constraint, where the semantic dropout noise is projected based on domain knowledge and the word embedding technique. Our suggested method is able to exploit the hidden feature structure of bullying information and take a robust and discriminative representation of textual matter. Comprehensive experiments on two public cyber bullying corpora (Twitter and MySpace) are taken, and the results prove that our proposed approaches outperform other baseline text representation learning methods.
Recent Advances in Perovskite Solar Cells: Morphology Control and Interfacial Engineering

Organic-inorganic hybrid perovskite solar cells are considered as a promising new generation photovoltaic technology that can be produced with very low cost. Recent studies revealed that organometal trihalide perovskite semiconductors exhibit several desired properties for photovoltaic applications including high absorption coefficient, low exciton binding energy, long carrier-diffusion lengths and facile tunable bandgaps, enabling their efficiencies leap from less than 5% to ca. 20% in small area devices in the past 5 years. Module efficiency up to 8.7% was also demonstrated, paving the way for po-tential commercialization of this new photovoltaic technology. In this review article, we discussed two important factors that had been employed to improve perovskite solar cell performance including morphology control of the perovskite films through advanced processing methods and also interface engineering in both conventional-type and inverted-type device structures. We also discussed the scientific and technological challenges remained to be solved before perovskite solar cells can be considered for real applications.
General non-uniform quadrilateral cross-sections for thin-walled FG sandwich beams

The paper aims at introducing an analysis of thin-walled functionally graded sandwich beams for general nonuniform quadrilateral cross-sections. Generally, the materials are assumed to be graded through the thickness following a predefined shape while Poisson’s ratio kept as a constant due to its less domination. The crosssection linearly varies from one end to another end of the beam. In order to relax the difficulties in modeling as well as capturing the behaviors of thin-walled functionally graded beams, a higher-order approach has been applied including warping, coupling distortions as well as Poisson’s distortion. A multi-separated beam on each edge of the cross-section which is an application of the so-called beam-frame-modal method is adopted. Subsequently, the effects of these major importance along with anisotropy of materials are then fully considered. As a consequence, the analysis is able to extensively applied to closed-section beam-shells with different curvatures. In order to illustrate the accuracy and computational efficiency of the method, various examples have been conducted in which the results obtained from finite element package as ABAQUS are employed.
What Drives Investors to Chase Returns?

We use data on one-participant retirement savings plans to identify a behavioral bias in savings decisions. Investors who earn top-decile returns increase contributions to their accounts more than other investors. Using characteristics of the investors, characteristics of their retirement savings accounts, and multivariate regression analysis, we first show that such ``return chasing'' behavior is robust to controls for financial illiteracy, macroeconomic conditions, learning, transaction costs, housing prices, and informational frictions. We then use a structural two-asset model with tax-deferred and taxable assets to show that a permanent increase in expected returns produces investment responses for younger or liquidity-constrained investors that are consistent with our data. Our results provide evidence that younger investors' recent portfolio experiences have highly persistent effects on their expectations.