Miracle-dz/UniFAR-FTUs huggingface dataset:
The effect of early exposure to violence on acceptance of violence and dating violence perpetration in university students: the moderating role of pro-violence messages

ABSTRACT Dating violence is a prevalent problem among college-aged couples. Empirical studies based on social learning theory have found a strong relationship between early exposure to violence and violent behaviors in later life. However, researchers have not fully examined which contexts exacerbate the potential risk of violence perpetration among individuals who have experienced violence. The purpose of the present study was to examine whether pro-violence messages received in childhood moderate the effect of early exposure to violence on acceptance of violence and dating violence perpetration. The current study used a sample of U.S. college students (N = 3,302) using cross-sectional data from the International Dating Violence Study (2001– 2006). Findings from ordinary least squares regression analyses showed that receiving pro-violence messages during childhood was associated with acceptance of violence among male and female students (p < .5), but that such messages are associated with increased dating violence perpetration among female students only (p < .5). Overall, pro-violence messages did not moderate the relationship between early exposure to violence and acceptance of violence and dating violence perpetration. Among the female sample pro-violence messages moderated the relationship between early exposure to violence and acceptance of violence (p < .5). These findings highlight the significance of pro-violence messages on later attitudes toward violence. However, subsequent studies are needed to explore the risk factors that adjust or reinforce the relationship between early exposure to violence and acceptance of violence and dating violence behaviors in later life.
Warm range margin of boreal bryophytes and lichens not directly limited by temperatures

Species at their warm range margin are potentially threatened by higher temperatures, but may persist in microrefugia. Whether such microsites occur due to more suitable microclimate or due to lower biotic pressure from, for example competitive species, is still not fully resolved. We examined whether boreal bryophytes and lichens show signs of direct climate limitation, that is whether they perform better in cold and/or humid microclimates at their warm range margin. We transplanted a moss, a liverwort and a lichen to 58 boreal forest sites with different microclimates at the species' southern range margin in central Sweden. Species were grown in garden soil patches to control the effects of competitive exclusion and soil quality. We followed the transplanted species over three growing seasons (2016–2018) and modelled growth and vitality for each species as a function of subcanopy temperature, soil moisture, air humidity and forest type. In 2018, we also recorded the cover of other plants having recolonized the garden soil patches and modelled this potential future competition with the same environmental variables plus litter. Species performance increased with warmer temperatures, which was often conditional on high soil moisture, and at sites with more conifers. Soil moisture had a positive effect, especially on the moss in the last year 2018, when the growing season was exceptionally hot and dry. The lichen was mostly affected by gastropod grazing. Recolonization of other plants was also faster at warmer and moister sites. The results indicate that competition, herbivory, shading leaf litter and water scarcity might be more important than the direct effects of temperature for performance at the species' warm range margin. Synthesis. In a transplant experiment with three boreal understorey species, we did not find signs of direct temperature limitation towards the south. Forest microrefugia, that is habitats where these species could persist regional warming, may instead be sites with fewer competitors and enemies, and with sufficient moisture and more conifers in the overstorey.
Moving beyond Limitations: Designing the Helpdys App for Children with Dyslexia in Rural Areas

Dyslexia is a relatively common language disorder which is generally ignored in rural communities. It hinders children’s learning processes and, in some cases, is the cause of dropouts or violence in schools. The present work strives to create a web and mobile app as a preliminary step towards the diagnosis and treatment of dyslexic children. Apps providing didactic educational games and activities improve literacy skills for students with reading disabilities. The current work incorporates user experience and prototyping to fulfill app requirements. The authors evaluated the apps with the Mobile App Rating Scale (MARS) tool to assess engagement, functionality, aesthetics, and information. The app’s improvements were immediately implemented and tested in the “Escuela Linea Equinoccial” (Ecuador) school, proving its utility for future use in the education system. The app can be a valuable tool for children with dyslexia to progress successfully through school, raising their self-confidence and, thereby, helping them reach their full potential as adults able to make a positive contribution to society.
CLIL as a pathway for cross-curricular and translingual classroom practices: A comparative quantitative study on Scottish and Spanish teachers’ views

Despite the numerous attempts to characterize Content and Language Integrated Learning (CLIL), the specialized literature has shown a dearth of cross-contextual studies on how stakeholders conceptualize classroom practice. This article presents the results of a two-phase comparative quantitative study on teachers’ views on CLIL design, implementation and results in two different contexts, Scotland ( n = 127) and Spain ( n = 186). The first phase focused on the creation, pilot-testing and validation of the research tool. The second phase consisted in administering the final questionnaire and analysing the results. The primary goals were (1) to ascertain whether practitioners’ perceptions on CLIL effects and classroom practices match the topics addressed by research; and (2) to analyse and compare teachers’ views in the two contexts. The study offers interesting insights into the main challenges in integrating language and content. Besides providing a conceptual framework for identifiable classroom practice, findings revealed that both cohorts shared broadly similar perceptions, although the Spanish respondents showed more positive views and significantly higher support for this approach.
Zero inflated Waring distribution

Abstract Zero inflated distributions are used in a wide variety of phenomena, particularly when the response variable exhibits an excessive number of zeros. These phenomena can lead to an overdispersion in the data and the reduction of its mean. In this paper, we aim to address this issue by introducing the zero inflated Waring distribution (ZIW). The latter is regarded to fit the data more adequately in cases where the Waring distribution fails to accurately describe data behavior, especially when these contain a high frequency of observed zeros. Therefore, we propose a more flexible distribution than those found in the literature to address the presence of large tails to the right. This distribution encompasses both the overdispersion generated by the excess of zeros, and that generated by the Waring distribution. The estimation of parameters is calculated by using the maximum likelihood method. Monte Carlo simulation results are provided. Finally, a practical application with real data extracted from the literature is presented.
Sensitivity and Specificity of a Short Scale for Assessing Psychological Violence in Peruvian Health Professionals

Objective: Psychological violence at work is becoming more acute in the health sector due to the precariousness of psychosocial work conditions at a global scale. To date, there have been no psychometric studies to classify this situation. The objective of the study was to determine the sensitivity and specificity of the psychological violence scale in health professionals (PVS-Health) among the Peruvian population.Results: The study included 188 professionals from ten care centres in Peru. Two groups of 94 subjects were formed: subjects who had experienced psychological violence at work (PVW) and subjects who had not experienced. The average age was 36.8 ± 10.5 years; 59% of the sample were women. The subjects’ work experience ranged between 1 to 35 years. The analysis based on the receiver operating characteristic ( ROC ) curve concludes significantly: a) area under the curve, AUC x 0.974; standard error, SE x 0.10; p < 0.0003 (95% CI – 0.954 – 0.994), showing adequate randomness; b) cut-off point for maximum sensitivity (S x 0.94) and specificity (E x 0.89) was 35 out of 73 as the maximum score; and c) PVS-Health effectively distinguish subjects with PVW from those without PVW (89% with PVW, 94% of those without).
The Influence of Social Media Marketing Activities on Purchase Intention Through Brand Awareness

The aim of this research was to investigate the influence of social media marketing activities on purchase intention and to elaborate the role of brand awareness as the mediating variable in this relationship. The sample consisted of 315 respondents. The data were collected through a closed-ended questionnaire with five alternative responses: highly agree (score five) and highly disagree (score one). The data were then analyzed through descriptive statistics and path analysis. The results showed that social media marketing activities had a significant influence on purchase intention and that brand awareness acted as the pull mediating variable in this relationship. Keywords: social media marketing activities, brand awareness, purchase intention
Intelligence Augmentation: Towards Building Human- machine Symbiotic Relationship

Artificial intelligence, which people originally modeled after human intelligence, has made significant advances in recent years. These advances have caused many to fear that machines will surpass human intelligence and dominate humans. Intelligence augmentation (IA) has the potential to turn the tension between the two intelligence types into a symbiotic one. Although IA has not gained momentum until recent years, the idea that machines can amplify human abilities has existed for many decades. Expanded from a panel discussion on Intelligence Augmentation at the 2020 International Conference of Information Systems (ICIS), we define IA in light of its history and evolution and classify IA based on its capabilities, roles, and responsibilities. Based on reviewing the IA literature in terms of research themes, enabling technology, and applications, we identify key research issues, challenges, and future opportunities.
Attitudes Towards Home Care of Older Persons With Disabilities: The Case of Trinidad

Caring for persons with disabilities is challenging, yet it is assumed that people would care for their relatives with disabilities because of a feeling of closeness. Using a convergent mixed methods design, this article examines attitudes towards older persons with disabilities in the context of home care using Trinidad as a case study. The analytical framework involves (a) measuring attitudes towards the inclusion of older persons with disabilities in the home and (b) identifying the reasons for these attitudes. This framework is applied to a representative sample of 868 adult Trinidadians as well as the subsamples of adult Trinidadians dwelling and not dwelling with older persons with disabilities. Not all adult Trinidadians agreed that older persons with disabilities should be included in the home, and integrated findings indicate the need for monitoring systems for both home care and at homes for the aged.
The efficacy of high-flow oxygen versus conventional oxygen for asthma control: a meta-analysis of randomized controlled studies

Introduction The efficacy of high-flow oxygen versus conventional oxygen therapy for asthma control remains controversial. Aim This meta-analysis aims to explore the influence of high-flow oxygen versus conventional oxygen therapy on asthma control. Material and methods We have searched PubMed, Embase, Web of Science, EBSCO, and Cochrane library databases, and included randomized controlled trials (RCTs) assessing the efficacy of high-flow oxygen versus conventional oxygen therapy for asthma control. Results Four RCTs are included in this meta-analysis. Overall, compared with conventional oxygen therapy for asthma, high-flow oxygen is associated with a significantly lower dyspnoea score (standard mean difference (SMD) = –0.63; 95% confidence interval (CI): –1.08 to –0.17; p = 0.008), but reveals no remarkable influence on PaCO2 (SMD = 0.28; 95% CI: –0.22 to 0.77; p = 0.28), PaO2 (SMD = 0.44; 95% CI: –1.34 to 2.22; p = 0.63), intubation rate (OR = 1.09; 95% CI: 0.15 to 8.21; p = 0.93) or hospital length of stay (SMD = –0.07; 95% CI: –0.41 to 0.27; p = 0.67). Conclusions High-flow oxygen may benefit to reduce/may be more beneficial in reducing the dyspnoea score than conventional oxygen therapy for asthma, but shows no improvement in PaCO2, PaO2, intubation or hospital length of stay.
Are populations of Polylepis australis locally adapted along their elevation gradient?

ABSTRACT Mountain ecosystems are characterized by steep environmental gradients. Species with broad elevation distribution are exposed to contrasting climatic conditions along their gradients. In response to those changes, species might develop ecotypes adapted to the local climate. Early regeneration is the most critical stage for plant populations and, therefore, withstands strong selection pressures. Previous studies showed a unimodal pattern of intraspecific variability in fitness components among Polylepis australis populations along their elevation gradient in the mountains of central Argentina. Whether this variability is the result of local populations’ adjustments to their respective site remains unknown. We tested the hypothesis that P. australis populations from different elevations would be locally adapted to their local environments, where they would perform better than populations from other elevations (origins). We applied an experimental approach by establishing common gardens at three contrasting elevations. Seeds and saplings of P. australis populations from the low, mid- and high elevation belts of the species distribution gradient (i.e. three origins) were reciprocally sown and transplanted in three elevation sites (low, mid- and high). Seed germination success, sapling growth and mortality were monitored for three years. Our main results show that the origin of populations influenced germination success and sapling growth, whereas sapling mortality was marginally affected. Populations of both elevation extremes seem to be more adjusted to local conditions than the population from the intermediate elevation, probably due to the harsher environmental conditions for plant regeneration typical of the lower and upper elevation belts of semiarid mountains. Finally, our results strongly suggest that temperature rise due to climate change in this mountain area might have negative effects on the regeneration of P. australis populations.
Can Limits to Arbitrage Explain Stock Price Idiosyncratic Volatility Premium Puzzle in China’s A-Share Market?

Investigating the existence and causes of idiosyncratic volatility premium puzzle in developing stock market can enrich the research on this asset pricing puzzle. To investigate the existence and whether limits to arbitrage in China’s A-share market can explain the idiosyncratic volatility premium puzzle, this paper uses listed stocks in China’s A-share market from 2002 to 2019 as a sample. We calculate three individual measures and one comprehensive measure of limits to arbitrage based on Chinese specific regulations. After that, we conduct univariate portfolios analysis, regression analysis, and bivariate portfolios analysis to obtain evidence. We prove that idiosyncratic volatility premium puzzle exists in China’s A-share market and is robust and that limits to arbitrage in this market can partly explain this asset pricing puzzle. This paper enriches research on asset pricing anomaly and can help us evaluate the effect of China’s A-share market reform.
Evaluating the Profile Geochemical Characteristics and Environmental Risk Prediction of Typical Sulfide Tailing Ponds Through Multiple Methods

Abandoned tailings generated from copper mining are exposed to the environment for a long time will cause related risks, such as stability, landslides, surface and groundwater pollution, acid mine drainage (AMD) and secondary mineral deposits. This research started from multiple methods and comprehensively assessed the current status of mine tailings through the joint application of geophysics, geochemistry and mineralogy techniques to identify relevant environmental hazards. A thick oxidized hardened layer was formed on the surface of the tailings dam, but there were still faults or crack that affected its structural stability. According to the low-resistivity distribution of the tailings, the surface oxide compaction was judged, and the existence of high-resistivity cracks judged the potential migration path of heavy metals (HMs). The microscopic morphology and existing mineral phases of tailings particles at different depths in the profile were determined by SEM and XRD of representative samples as the main feature of iron crystalline phase. As the profile depth increased, the minerals such as calcite, pyrite and goethite gradually appeared. In addition, Cr and As were no risk, Cu, Zn, Pb were low risk, Ni was medium risk, and Cd was high risk in risk assessment code (RAC) analysis of the tailings. Judging whether HMs in the tailings are hazardous substances according to the results of toxicity characteristic leaching procedure (TCLP), it was found that the leaching contents of Cu, Zn, Pb, Cr, Ni, As were all lower than the limit, while the leaching content of Cd was higher than the limit, and additional attention should be paid to Cd pollution.
Multi-Dimensional Privacy-Preserving Average Consensus in Wireless Sensor Networks

This brief studies the privacy preserving average consensus (PPAC) of wireless sensor networks (WSNs). Note that most of the PPAC schemes only focus on the consensus of one-dimensional state, which is not suitable for the actual scenarios. In view of this, the multi-dimensional privacy-preserving average consensus (MPPAC) problem is considered in this brief, where the nodes are divided into two types, the sink nodes and the ordinary ones. A novel MPPAC algorithm is proposed by introducing the super-increasing sequence as well as the RSA algorithm, where the super-increasing sequence plays a key role in tackling the multi-dimensional measurement of the sensors, and the RSA algorithm realizes the privacy preserving average consensus among sink nodes. Simulation results illustrate the effectiveness of this proposed scheme.
The promise of mobility in a context of constraint: the International Baccalaureate in a low-income public school in Ecuador

ABSTRACT In 2012, Ecuador signed an agreement to introduce the International Baccalaureate into the country’s public-schools. Once considered an emblematic policy of former president Correa’s administration, the initiative is now questioned and its future uncertain. This ethnographic study strives to write against the commonly invoked deficit narratives that attribute the initiative’s shortcoming to students’ dispositions. I considered how the practices and meanings that result from the encounter between the IB and the contextual arrangements of a public-school inhibited students’ abilities to successfully engage with the programme. I focused on the feelings of frustration and disengagement that emerge as students attempted to negotiate the material constraints present in their experiences of schooling and the promise of social mobility attributed to the IB. Based on these findings, I highlight the dangers of an initiative in which success is largely predicated on students’ agential responses to the constraints of their environments.
ROI-based features for classification of skin diseases using a multi-layer neural network

Skin diseases have a serious impact on human life and health. This article aims to represent the classification accuracy of skin diseases for supporting the physicians’ correct decision on patients for early treatment. In particular, 100 images in each type of five skin diseases from ISIC database are used for balanced datasets related to the classification accuracy. In addition, this paper focuses on processing images for extracting six optimal types of eleven features of skin disease image for higher classification performance and also this takes less time for training. Therefore, skin disease images are filtered and segmented for separating region of interests (ROIs) before extracting optimal features. First, the skin disease images are processed by normalizing sizes, removing noises, segmenting to separate region of interests (ROIs) showing skin disease signs. Next, a gray-level co-occurrence matrix (GLCM) method is applied for texture analysis to extract eleven features. With the optimal six features chosen, the high classification accuracy of skin diseases is about 92% evaluated using a matrix confusion. The result showed to illustrate the effectiveness of the proposed method. Furthermore, this method can be developed for other medical datasets for supporting in disease diagnosis.
Tourist Perceived Value, Tourist Satisfaction, and Life Satisfaction: Evidence From Chinese Buddhist Temple Tours

Prior research has mainly focused on the effect of tourist perceived value on customer satisfaction and behavior intention; the relationship between tourist perceived value and life satisfaction in religious tourism has been overlooked. This study aims to examine the link between tourist perceived value and life satisfaction and whether tourist satisfaction can play a mediating role in the process, specifically in the context of Chinese religious tourism. Data on Buddhist temple tours in China were collected through surveys, semi-structured interviews were conducted to gain the construct of the Buddhist tourist perceived value and regression analyses were used to test the study’s hypotheses. We developed and tested a scale of measurement of Buddhist tourist perceived value through 21 items grouped into seven dimensions: quality, price, emotional value, social value, educational value, physical attributes, and nonphysical attributes. Results from 537 tourists revealed that tourist perceived value is positively related to life satisfaction, and tourist satisfaction plays a mediating role in the relationship between perceived value and life satisfaction. Findings of this study provide a Buddhism-specific perspective for tourist perceived value.
New functional nanocomposites based on poly(trimethylene 2,5-furanoate) and few layer graphene prepared by in situ polymerization

Poly(trimethylene 2,5-furanoate) (PTF) nanocomposites reinforced with few layer graphene (FLG) were prepared through in situ polymerization. The method in question allows obtaining well-dispersed nanoplatelets in the whole volume of PTF matrix. The mechanical properties of the PTF/FLG nanocomposites slightly increased with as quantity of FLG as small as 0.1 wt%, which was best seen in the improvement of elongation at break by about two times. The presence of FLG did not affect the crystallization and chain mobility of PTF matrix. However, the incorporation of a small quantity of FLG slightly improved the thermal stability of the nanocomposites. Additionally, the cold and hot water absorption and oxygen permittivity measurements confirmed that FLG affected the tortuosity of the diffusive path for the penetrant molecule. More-over, along with a successive addition of FLG a linear increase in thermal conductivity was visible.