Miracle-dz/UniFAR-FTUs huggingface dataset:
Self-Concept, Early Childhood Depression and School Retention as Predictors of Adolescent Depression in Urban Hispanic Adolescents

The role that early school retention, early childhood depression and self-concept had on levels of depression in 191 urban Hispanic adolescents was investigated. This exploratory study used a purposeful sample to study relationships and thus causality cannot be inferred. Statistically significant gender differences were found for depression with females reporting more depressive symptoms and both Hispanic males and females reporting higher rates of depression than the national average. Overall retention rates were 42 percent, with the majority of students retained in kindergarten and 1st grade with a second peak in retention rates in the 8th and 9th grades. Retained students versus non-retained students had statistically significant differences in: (a) lower self-concept; (b) past feelings of depression; (c) GPA and (d) depression. Predictors of depression in order of contribution were: (a) self-concept; (b) early childhood depression; (c) retention and (d) gender. The findings in this study are generalizable only to the sample in this study and may not apply to adolescents in other ethnic groups. Implications for schools and school psychologists are noted.
An Efficient Collaborative Filtering Approach Using Smoothing and Fusing

Collaborative Filtering (CF) has achieved widespread success in recommender systems such as Amazon and Yahoo! music. However, CF usually suffers from two fundamental problems - data sparsity and limited scalability. Among the two broad classes of CF approaches, namely, memory-based and model-based, the former usually falls short of the system scalability demands, because these approaches predict user preferences over the entire item-user matrix. The latter often achieves unsatisfactory accuracy, because they cannot capture precisely the diversity in user rating styles. In this paper, we propose an efficient Collaborative Filtering approach using Smoothing and Fusing (CFSF) strategies. CFSF formulates the CF problem as a local prediction problem by mapping it from the entire large-scale item-user matrix to a locally reduced item-user matrix. Given an active item and a user, CFSF dynamically constructs a local item-user matrix as the basis of prediction. To alleviate data sparsity, CFSF presents a fusion strategy for the local item-user matrix that fuses ratings of the same user makes on similar items, and ratings of like-minded users make on the same and similar items. To eliminate diversity in user rating styles, CFSF uses a smoothing strategy that clusters users over the entire item-user matrix and then smoothes ratings within each user cluster. Empirical study shows that CFSF outperforms the state-of-the-art CF approaches in terms of both accuracy and scalability.
Inferring Networks of Substitutable and Complementary Products

To design a useful recommender system, it is important to understand how products relate to each other. For example, while a user is browsing mobile phones, it might make sense to recommend other phones, but once they buy a phone, we might instead want to recommend batteries, cases, or chargers. In economics, these two types of recommendations are referred to as substitutes and complements: substitutes are products that can be purchased instead of each other, while complements are products that can be purchased in addition to each other. Such relationships are essential as they help us to identify items that are relevant to a user's search. Our goal in this paper is to learn the semantics of substitutes and complements from the text of online reviews. We treat this as a supervised learning problem, trained using networks of products derived from browsing and co-purchasing logs. Methodologically, we build topic models that are trained to automatically discover topics from product reviews that are successful at predicting and explaining such relationships. Experimentally, we evaluate our system on the Amazon product catalog, a large dataset consisting of 9 million products, 237 million links, and 144 million reviews.
The Influence of Trust and Usefulness on Customer Perceptions of E-Service Quality

E-service markets for airlines have been growing rapidly over the past several years. Because they reduce the waiting time compared to offline shopping transactions. e-commerce and e-service marketing activities have attracted a great deal of attention as a means of increasing customers’ awareness and favorable perceptions of online shopping. In this study we surveyed 236 international travelers who had purchased airline tickets from 30 different airline service websites in Taiwan. The results illustrate that customers’ perceptions of both trust and usefulness, which are the factors of the technology acceptance perspective, positively moderate the relationship between e-service quality, perception of service value and service satisfaction.
The classroom discussion of science‐based social issues presented on television: knowledge, attitudes and values

This article reports on some of the findings of a three‐year project on the public understanding of science. It examined how 17‐year‐old students, attending Science Technology and Society courses at a number of British schools, discussed science‐based social issues in small groups after watching a relevant stimulus programme. The research showed that only simple familiarity with the scientific terms used was a necessary condition to enable a discussion which was valuable in terms of the construction and exchange of moral and civic views. The same students’ responses to a questionnaire proved not to be a reliable guide either to their behaviour during discussion, or to their apparent reliance on particular knowledge sources. A comparison between pre‐ and post‐course data on students’ opinions about social issues showed considerable changes, but in somewhat random directions. Effects attributable to the discussion work were more evident in later examples of free writing by the students.
Organizational identity and management accounting change

Purpose - This paper aims to examine how and why management accounting practices are linked to an organization's identity and identity discrepancies. Design/methodology/approach - A qualitative field study of a one-year change project in a large manufacturing company is used as the basis for the analysis. Findings - The empirical study reveals how discrepancies between organizational members' perceived identity and their construed external (and desired future) image both influence and are influenced by emergent accounting practices. Empirical evidence suggests such a reciprocal relationship between accounting and identity, since accounting practices are an important means of (de)legitimizing an organization's current self-perception. Research limitations/implications - The uncovered reciprocal relationship between management accounting practices and organizational identity (discrepancies) have implications for a broader literature, including the works on how different forms of control interact as a “control package” and the discourse on potential sources of organizational identity change. Originality/value - Although it has previously been suggested that management accounting may be an important means for, as well as an outcome of, processes of identity (re)constructions in organizations, this study suggests a more complex interplay than has previously been noted in the literature. Specifically, it was found that organizational identity may for a considerable time work as a highly influential and largely unquestioned categorical imperative, signifying the boundaries of appropriate organizational action. At times, however, accounting practices may spark (re)constructions of identity discrepancies through: providing identity-inconsistent evidence; and using (new) measures in a “feed-forward” manner to explore possible ways to close such perceived discrepancies.
Validation of the Career Decision-Making Difficulties Questionnaire Among Korean College Students

The purpose of this study was to examine the psychometric properties of the Korean version of the Career Decision-Making Difficulties Questionnaire (CDDQ) among 854 college students. Confirmatory factor analyses partially confirmed the original 10-factor structure of the instrument and demonstrated metric equivalence across gender. The dysfunctional beliefs subscale was particularly inconsistent. Cronbach’s α reliabilities ranged from . 66 to . 88 for the CDDQ subscales and α = . 92 for the CDDQ total score. The test–retest reliability for a 1-month interval was . 88. The correlation between CDDQ and the Career Decision Self-Efficacy Scale was r = –. 54 (p < .01), which was convergent with previous studies. The undecided college students reported higher CDDQ scores than the decided college students. All the results suggested that CDDQ is a reliable instrument for assessing career decision-making difficulties in the Korean context. Implications for career interventions and research are discussed.
Towards tailor-made participation: how to involve different types of citizens in participatory governance

Public participation has become an important element of governance in many Western European countries. However, among scholars and practitioners there is a recognition that participatory governance processes tend to produce systematic exclusions. Knowledge about 'who' participates and 'how' they participate can enhance our understanding of participatory processes. This paper presents some characterisations of citizens based on a review of the literature on participation. In addition, examples of how to tailor participation for different type of citizens are provided based on studies of urban regeneration programmes and local environmental initiatives in Denmark. The paper concludes that in order to broaden the inclusion of affected citizens, public authorities need to be tailor participation processes by applying distinct approaches to different types of citizens
Attention Deficit, Hyperactivity Disorder in Adopted Romanian Children Living in The Netherlands

Abstract The occurrence of symptoms of Attention Deficit, Hyperactivity Disorder (ADHD) in eighty children adopted from Romania was studied. Their average age on arrival was 2.10 and at the start of this study 8 years. The 72 parent-couples (response 83%) were extensively interviewed and filled out the Dutch ADHD-questionnaire and the Child Behavior Checklist (CBCL). Twelve of the 80 participant children (15%, eleven boys and one girl) clearly showed symptoms of ADHD. In addition they exhibited more Externalizing Behavior (CBCL) than the remaining 68 children (75% vs. 25%). These 12 children more often attended special education than the others (67% vs. 25%). The ADHD children also showed less recovery over time. Ten of the twelve ADHD children also showed comorbidity, i.e., symptoms of posttraumatic stress reaction, post institutionalized autism and other behavioral disorders. The ADHD children needed more professional care than the remaining 68 children. Their parents, however, judged the received care more negatively than the Other parents.
Safebook: Feasibility of transitive cooperation for privacy on a decentralized social network

Social networking services (SNS), which provide the application with the most probably highest growth rates in the Internet today, raise serious security concerns, especially with respect to the privacy of their users. Multiple studies have shown the vulnerability of these services to breaches of privacy and to impersonation attacks mounted by third parties, however the centralized storage at the providers of SNS represents an additional quite significant weakness that so far has not satisfyingly been addressed. In this paper we show the feasibility of “Safebook”, our proposal for the provision of a competitive social networking service, which solves these vulnerabilities by its decentralized design, leveraging on the real life relationships of its users and means of cryptography.
Local Tolerance of Hyena Attacks in East Hararge Region, Ethiopia

ABSTRACT Spotted hyenas and humans often come into conflict where they coexist in the landscape. Usually the conflicts involve hyena predation on livestock and retaliatory killings by humans; however, direct attacks on humans by rabid or otherwise healthy hyenas do occur. These in turn compound the problems associated with reconciling protection of hyenas with the needs and safety of humans. This paper was motivated by a series of attacks which occurred in the town of Kombolcha in the Hararge Region of eastern Ethiopia. The attacks and the responses of the local people were an extension of a wider conflict across the region where children are occasionally attacked and hyenas killed. Yet hyenas persist in the region. I suggest here that an understanding of the mechanisms which permit hyenas to coexist with humans in the Hararge region extend beyond food availability and access to breeding sites for hyenas. There is an added dimension which stems from the remnants of a traditional belief system that the local people held prior to conversion to Islam. This entails that hyenas are conceived of as beneficial to the human population due to their propensity to kill and consume unseen spirits, and their capacity to act in accordance with human societal values. As long as the human population does not transgress any boundaries, the hyenas will not have cause to attack them. Meanwhile the hyenas need to restrict their activity times, rely entirely on anthropogenic foods, and refrain from preying on people and livestock. These kinds of detailed explorations of ethno-historical and socio-ecological aspects of human–animal relations can better inform efforts at mitigating human–wildlife conflict in Hararge region and beyond.
Social Isolation and Loneliness in Old Age: Review and Model Refinement

ABSTRACT This paper reviews the empirical literature on social isolation and loneliness and identifies a wide range of published correlates. Using data from a study conducted in North Wales, which included many of the same correlated variables, a statistical modelling technique is used to refine models of isolation and loneliness by controlling for co-variance. The resulting models indicate that the critical factors for isolation are: marital status, network type and social class; and, for loneliness: network type, household composition and health.
Small Group Brainstorming and Idea Quality

Idea quality is the most important indicator of group brainstorming performance. Yet, little electronic brainstorming (EBS) research has assessed idea quality directly. This article provides a closer look at EBS and nominal brainstorming groups in terms of idea quality. This study employed an unbalanced repeated measures experimental design to compare the quality of ideas generated by small groups using four brainstorming technologies (nominal, verbal, EBS-anonymous, and EBS-non-anonymous). In the experiment, three conditions thought to improve the effectiveness of EBS groups were also manipulated. The results indicated that overall, nominal brainstorming groups generated ideas at least as good, if not better, than EBS groups. Furthermore, the three conditions manipulated did not improve the quality of the ideas generated by EBS groups.
Data Analysis of Digital Currency Networks: Namecoin Case Study

Financial transaction networks are some of the largest networks in existence. A relatively new type of financial networks is the digital (crypto) currency network, e.g., Bitcoin. Namecoin is an alternative crypto currency, based on Bitcoin, with additional features such as DNS. Namecoin network has more than 2 million nodes and almost 17 million edges. The analysis of such a crypto currency network can help us model or predict the future growth of the transaction networks. In order to analyze the transaction network graph over time, we analyzed the Namecoin blockchain data in 7 six months intervals. Our findings suggest different user behavior and developing pattern compared to Bitcoin.
From neighborhood to parenthood: the advantages of dependency representation over bigrams in Brown clustering

We present an effective modification of the popular Brown et al. 1992 word clustering algorithm, using a dependency language model. By leveraging syntax-based context, resulting clusters are better when evaluated against a wordnet for Dutch. The improvements are stable across parameters such as number of clusters, minimum frequency and granularity. Further refinement is possible through dependency relation selection. Our approach achieves a desired clustering quality with less data, resulting in a decrease in cluster creation times.
As corporalidades do trabalho bailarino: entre a exigência extrema e o dançar com a alma

The context of research development in Management requires an investigation that allows an embodied (non-representational) understanding of this field of knowledge. Thus, we reflect on studies on body and embodiment in the fields of Management and Dance (ballet), as well as information from an ethnographic study carried out in an important dance company called Dancing Dance Company (real name withheld). The objective of this article is to investigate how dancers of Dancing Dance Company embody their dance work. The study points out three important embodiment processes present in dancers' work in the dance company, which are: the embodiment of pain and injuries, the embodiment of a type of body and body movement, and, finally, the difficulty of embodying dancing from the soul. We understand that such corporalities are constituted from a wider context than the dance company environment since they include matters related to hierarchy and discipline as well as the socio-historical and cultural issues regarding the field of dance. From a practical perspective, we observed that demands that come either from the organization or from the field of dance have consequences, such as an extreme use of dancers' bodies as well as a limitation of the dance experience.
A second reply to Bornstein, Crum, Wittenbraker, Harring, Insko and Thibaut on the measurement of social orientations.

It is argued in response to Bornstein et al. (1983a) that most preferreed outcomes are not restricted to the maximal values of strategies, that the revised matrices are conpromise between maximal discrimination and exact fairness, that strategies can and should be measured as variables, and that their further criticisms of the Taifel matrices again fail to withstand careful examination. Their new data are irrelevant to the measurement issue. It is concluded that the Tajfel matrices are superior to the revised matrices if one wishes to measure strategies as unconfounded variables and without defining subjects' most preferred outcomes a priori.
What's Wrong with Research Literatures? And how to Make Them Right

Meta-analysis is now the accepted procedure for summarizing research literatures in areas of applied psychology. Because of the bias for publishing statistically significant findings, while usually rejecting nonsignificant results, our research literatures yield misleading answers to important quantitative questions (e.g., How much better is the average psychotherapy patient relative to a comparable group of untreated controls? How much more aggressive are children who watch a great deal of violent TV than children who watch little or no violence on TV? ). While all such research literatures provide overly optimistic meta-analytic estimates, exactly how practically important are these overestimates? Three studies testing the literature on implementation intentions finds only slightly elevated effectiveness estimates. Conversely, in three studies another growing research literature (the efficacy of remote intercessory prayer) is found to be misleading and is in all likelihood not a real effect (i.e., our three studies suggest the literature likely consists of Type I errors). Rules of thumb to predict which research literatures are likely invalid are offered. Finally, revised publication and data analysis procedures to generate unbiased research literatures in the future are examined.
Ontology Based Sentiment Clustering Of Movie Review

: Sentiment analysis is the mining the sentiment or opinion words and identification and analysis of the opinion and arguments in the text. Text document clustering contains opinions or sentiments about the objects, such as product reviews, movie reviews, and book reviews etc. This paper presents a method of ontology-based sentiment clustering to cluster and analyse the movie reviews. In this paper, we proposed the domain ontology to extract the related generic category, in order to find the class of the movie based on the theme (Comedy, Action, Thriller, Tragedy, Horror, Sci-Fi, Family) the domain ontology and the related adjectives are analyzed and applied to the FCM clustering process the attributes with a fuzzy score is calculated and used semi supervised learning for clustering techniques.
Correlation between K‐ras gene mutation and prognosis of patients with nonsmall cell lung carcinoma

Mutations at codons 12, 13, and 61 of the three ras genes, H‐ras, K‐ras, and N‐ras, convert these genes into active oncogenes. It appears that ras gene mutations can be found in a variety of tumor types. The purpose of this study was to evaluate the clinical significance of K‐ras gene mutation in nonsmall cell lung carcinoma (NSCLC).
Linear and Non-Linear Trends for Seasonal NO2 and SO2 Concentrations in the Southern Hemisphere (2004-2016)

In order to address the behaviour of nitrogen dioxide (NO2) and sulphur dioxide (SO2) in the context of a changing climate, linear and non-linear trends for the concentrations of these two trace gases were estimated over their seasonal standardised variables in the Southern Hemisphere—between the Equator and 60° S—using data retrieved by the Ozone Monitoring Instrument, for the period 2004–2016. A rescaling was applied to the calculated linear trends so that they are expressed in Dobson units (DU) per decade. Separately, the existence of monotonic—not necessarily linear—trends was addressed by means of the Mann-Kendall test. Results indicate that the SO2 exhibits significant linear trends in the planetary boundary layer only; they are present in all the analysed seasons but just in a small number of grid cells that are generally located over the landmasses or close to them. The SO2 concentrations in the quarterly time series exhibit, on average, a linear trend that is just below 0.08 DU decade−1 when significant and not significant values are considered altogether, but this figure increases to 0.80 DU decade−1 when only the significant trends are included. On the other hand, an important number of pixels in the lower troposphere, the middle troposphere, and the lower stratosphere have significant monotonic upward or downward trends. As for the NO2, no significant linear trends were found either in the troposphere or in the stratosphere, yet monotonic upward and downward trends were observed in the former and latter layers, respectively. Unlike the linear trends, semi-linear and non-linear trends were seen over the continents and in remote regions over the oceans. This suggests that pollutants are transported away from their sources by large-scale circulation and redistributed hemispherically. The combination of regional meteorological phenomena with atmospheric chemistry was raised as a possible explanation for the observed trends. If extrapolated, these trends are in an overall contradiction with the projected emissions of both gases for the current century.