Miracle-dz/UniFAR-FTUs huggingface dataset:
Secondary School Students' Positive and Negative Perfectionism as a Predictor of Career Development.

The purpose of this research is to examine secondary school students’ positive and negative perfectionism as a predictor of career development. 487 students from five different secondary schools in a city located in Turkey's Eastern Mediterranean Region participated in this study. Positive and Negative Perfectionism Scale (PNPS) and Childhood Career Development Scale (CCDS) were used as data collection tools in the study. The results show that positive perfectionism was a predictor of career development total score with six dimensions (curiosity / exploration, information, key figures, time perspectives, planning and self-concept). No relationship was found between career development and locus of control as well as interests dimensions. There was also no relationship between negative perfectionism and career development and dimensions. Key words: Career development, positive and negative perfectionism, secondary school student.
The reliability of a modified 505 test and change-of-direction deficit time in elite youth football players

ABSTRACT Change-of-direction ability is an important performance skill in football. Consequently, several testing protocols are used to assess this component. This study assessed the test–retest reliability of a modified 505 test (M505) and the change-of-direction deficit (CODD) in elite youth football players. Data were collected from 110 players from the Under [u] 12–18 years age groups (u18 n = 26, u16 n = 26, u14 n = 39, u12 n = 19) within two English Premier League Category 1 Football Academies. Players completed the M505 twice in 7-days, and a 10-m sprint test for CODD calculation. Reliability was assessed with respect to chronological and biological age (according to PHV status). Typical error (%), minimal detectable change (MDC) (%) and intraclass correlation coefficients (ICCs) were calculated. Typical errors in M505 were moderate to large (2.0–3.2%), while ICCs ranged from low to high (r = 0.26–0.82). Typical errors in CODD were moderate to large (7.1–12.0%), with low to high ICC’s (r = 0.19–0.79). MDC's were 5.5 to 8.9% in M505 and 17.7 to 33.3% in CODD. The typical errors and MDC's observed indicate that the M505 and CODD tests have limited practical utility in elite youth football players.
A profitless endeavor: phishing as tragedy of the commons

Conventional wisdom is that phishing represents easy money. In this paper we examine the economics that underly the phenomenon, and find a very different picture. Phishing is a classic example of tragedy of the commons, where there is open access to a resource that has limited ability to regenerate. Since each phisher independently seeks to maximize his return, the resource is over-grazed and yields far less than it is capable of. The situation stabilizes only when the average phisher is making only as much as he gives up in opportunity cost. Since the picture we paint is at variance with accepted wisdom we check against several publicly available data sources on phishing. We find the oft-quoted survey-based estimates of phishing losses unreliable. In particular the victimization rate found in most surveys is smaller than the margin of error, and dollar losses are estimated by averaging unverified self-reported numbers. We estimate that recent public estimates over-state phishing losses by as much as a factor of fifty. This economic portrait illuminates our enemy in an entirely new light. Far from being a path to riches, phishing appears to be a low-skill low-reward business. The enormous amount of phishing activity is evidence of its failure to deliver riches rather than its success, as phishers send more and more email hoping for their share of the bounty that eludes them. Repetition of questionable survey results and unsubstantiated anecdotes makes things worse by ensuring a steady supply of new entrants.
Accurate reconstruction of brain activity and functional connectivity from noisy MEG data

The synchronous brain activity measured via magnetoencephalography (MEG) arises from current dipoles located throughout the cortex. Estimating the number, location, time-course, and orientation of these dipoles, called sources, remains a challenging task, one that is significantly compounded by the effects of source correlations and interference from spontaneous brain activity and sensor noise. Likewise, assessing the interactions between the individual sources, known as functional connectivity, is also confounded by noise and correlations in the sensor recordings. Computational complexity has been an obstacle to computing functional connectivity. This paper demonstrates the application of an empirical Bayesian method to perform source localization with MEG data in order to estimate measures of functional connectivity. We demonstrate that brain source activity inferred from this algorithm is better suited to uncover the interactions between brain areas as compared to other commonly used source localization algorithms.
An Overview of Dominant Research Approaches to Measure Intercultural Communication Competence (ICC)

The aim of this paper is to discuss the several dominant research approaches incorporated by the intercultural researchers of the past. These approaches are elaborated into two different manners. Firstly, an overview of the six prominent theoretical approaches is discussed briefly along with the lacking and culture-specific elements in the approaches are witnessed. Secondly, culture general approaches are considered with their importance in the research practice regarding their culture general nature. Following with the remarkable contributions towards the current body of knowledge by Lily A. Arasaratnam in intercultural communication competence (ICC). In addition, it is also pointed out that how she developed such culture general models of ICC with a thorough discussion on the series of her culture general models. It is noticed from the literature on intercultural competence that previous approaches and culture general model are mostly addressed in the Western context. Even though context does matter a lot in the intercultural research. Therefore, it is suggested to explore these approaches and culture general models of multiple cultural perspectives, especially in Non-Western contexts to validate their culture-general nature.
Analysis of Language Learning Styles and Language Achievements of Higher Education Institution Students in Lampung

The aims of this study are firstly to find out whether tasks that are designed based on the studentsâ learning style specification are compatible with studentsâ language achievements, and secondly to find out factors that might affect the language achievements and the learning styles. The research was undertaken in 6Â private tertiary educations involving first year students who learn English as a compulsory subject at these institutions. A 40-item questionnaire adapted from Yufrizal (2007) was distrubuted to 380 students resulting students with four learning styles: communicative, concrete, authority oriented and analytic. One group repeated measures design was carried out in this research. The students are taught and tested in four different assignment adjusted to their learning styles. The results show that there is a congruency between studentsâ learning style and their designed tasks. Students with communicative learning style were more dominant in conversation and students with analytic learning style were more dominant in tasks that required language analytical skill. Furthermore, gender seemed to be an important factor that contribute to the studentsâ language achievement and learning styles.
Searching for Dust in the Intracluster Medium from Reddening of Background Galaxies

We report a search for the presence of dust in the intracluster medium based on the study of statistical reddening of background galaxies. Armed with the Red-sequence Cluster Survey data, from which we extracted (1) a catalog of 458 clusters with zclust < 0.5 and (2) a catalog of ~90,000 galaxies with photometric redshift 0.5 < zph < 0.8 and photometric redshift uncertainty δ zph/(1 + zph) < 0.06, we have constructed several samples of galaxies according to their projected distances to the cluster centers. No significant color differences [⟨ E(B − RC) ⟩ = 0.005 ± 0.008 and ⟨ E(V − z′) ⟩ = 0.000 ± 0.008] were found for galaxies in the background to the clusters compared to the references. Assuming a Galactic extinction law, we derive an average visual extinction of ⟨ AV⟩ = 0.004 ± 0.010 toward the inner R200 of clusters.
Increasing transduction efficiency of recombinant murine retrovirus vectors by initiation of endogenous reverse transcription: potential utility for genetic therapies

Reverse transcription of retroviral genomic RNA in a target cell is influenced by cellular factors, including the concentration of deoxyribonucleoside triphosphates (dNTPs). In addition, recent data have demonstrated that reverse transcription can be driven within human immunodeficiency virus type 1 virions, prior to infection of a cell, by increasing extracellular concentrations of dNTPs. In attempts to increase the transduction efficiency of recombinant murine leukemia virus vectors, endogenous reverse transcription was initiated within cell-free, recombinant murine leukemia virus virions in the presence of relatively high concentrations of dNTPs. As a result, the expression of transduced genes via these retroviral vectors was increased approximately 10-fold by treatment of virions with dNTPs. Combined with our previous data, these observations suggest that virion-associated DNA synthesis can occur in diverse groups of retroviruses and positively alter retroviral infectivity. As such, these manipulations may be useful for increasing the efficiency of retrovirus-mediated gene delivery.
Regular polysemy: A distributional model

Many types of polysemy are not word specific, but are instances of general sense alternations such as ANIMAL-FOOD. Despite their pervasiveness, regular alternations have been mostly ignored in empirical computational semantics. This paper presents (a) a general framework which grounds sense alternations in corpus data, generalizes them above individual words, and allows the prediction of alternations for new words; and (b) a concrete unsupervised implementation of the framework, the Centroid Attribute Model. We evaluate this model against a set of 2,400 ambiguous words and demonstrate that it outperforms two baselines.
Evaluating visual/motor co-location in fish-tank virtual reality

Virtual reality systems often co-locate the display and input (motor) spaces. Many input devices, such as the mouse, use indirect input mappings, and are disjoint from the display space. A study of visual/motor co-location was conducted to determine if there is any benefit to working directly “in” a virtual environment. Using a fish-tank VR setup, participants performed a 3D object movement task. This required moving an object from the centre of the environment to target regions, using a tracked pen, in both co-located and disjoint display/input conditions. Results were analyzed in the context of Fitts' Law, which models rapid aimed movements. Ultimately, no significant differences were found between co-located and disjoint conditions. However, when analyzing object movement in specific directions, the co-located condition was somewhat better than the disjoint one. In particular, movement into the scene was faster when the display and input device were co-located rather than disjoint.
Multiscale Impacts of Variable Heating in Climate

Abstract While it is obvious that the mean diabatic forcing of the atmosphere is crucial for maintaining the mean climate, the importance of diabatic forcing fluctuations is less evident in this regard. Such fluctuations do not appear directly in the equations of the mean climate but affect the mean indirectly through their effects on the time-mean transient-eddy fluxes of heat, momentum, and moisture. How large are these effects? What are the effects of tropical phenomena associated with substantial heating variations such as ENSO and the MJO? To what extent do variations of the extratropical surface heat fluxes and precipitation affect the mean climate? What are the effects of the rapid “stochastic” components of the heating fluctuations? Most current climate models misrepresent ENSO and the MJO and ignore stochastic forcing; they therefore also misrepresent their mean effects. To what extent does this contribute to climate model biases and to projections of climate change? This paper provides an assess.
Emotional dysregulation as a target in the treatment of co‐existing substance use and borderline personality disorders: A pilot study

Background: Borderline Personality Disorder (BPD) and Substance Use Disorders (SUD) are frequently co-morbid and their co-occurrence exacerbates the symptomatology and associated harms for both disorders. However, few intervention studies have examined the delivery of an integrated intervention for BPD and SUD within alcohol and other drug (AOD) treatment settings. This single arm pilot study examined the clinical utility and outcomes of a 12-session emotion regulation intervention for clients with co-occurring SUD and BPD symptoms delivered in an outpatient AOD treatment setting. Method: Forty-five adult treatment-seekers (64.4% women, mean age 35.8 years [SD=10.4]) attending an outpatient AOD service, who exhibited three or more symptoms of BPD, engaged in a 12-session emotion regulation intervention. Clinical measures assessing alcohol and drug use, BPD symptoms, emotion dysregulation and acceptance, non-avoidance of thoughts and emotions, and psychological flexibility were collected at baseline, session six and session 12. Treatment engagement, satisfaction and rapport were also measured. Results: Fifty-one percent of participants completed the 12-session intervention. The results demonstrated that the number of drug using occasions in the past 28 days significantly reduced from baseline compared to session 12. Furthermore, a significant reduction was identified in BPD symptom severity, emotion dysregulation, and non-acceptance, experiential avoidance and psychological inflexibility from baseline to session 12. Conclusions: For those individuals who completed the 12-session emotion regulation intervention, there were significant reductions across a number of clinical outcomes. However, retention in treatment for this vulnerable client group remains a significant challenge in the AOD setting.
European Conference on Information Systems ( ECIS ) 2004 Measurement of User Perceived Web Quality

Web sites are now considered an extension of the entire business, not just an additional channel or storefront or a simple information portal for the company. Creating an effective web site that gives a positive overall experience to the customers and visitors is important in business today. Measuring the quality of web site from the users’ perspective, will give a fast and early feedback to the firm and enables it to take corrective actions and improve its operations. Several instruments and methodologies were developed to measure the web site performance, usability and quality in information systems, marketing and operations management literature. This study reviews the literature in web quality measurement and employs a 25 item instrument developed by Aladwani and Palvia to measure the user perceived web quality. It attempts to test the factorial validity of the instrument in Australian context using Structural Equation Modelling technique. Analysis revealed that the data set do not fit the Aladwani and Palvia’s model well enough.
Activated B lymphocytes from human immunodeficiency virus-infected individuals induce virus expression in infected T cells and a promonocytic cell line, U1

Freshly isolated B lymphocytes from patients infected with human immunodeficiency virus (HIV), in contrast to B cells from normal controls, were shown to induce viral expression in two cell lines: ACH- 2, a T cell line, and U1, a promonocytic cell line, which are chronically infected with HIV, as well as in autologous T cells. In 10 out of 10 HIV-infected individuals with hypergammaglobulinemia, spontaneous HIV-inductive capacity was found with highly purified peripheral blood B cells, whereas peripheral blood or tonsillar B cells from six healthy, HIV-negative donors did not induce HIV expression unless the cells were stimulated in vitro. The induction of HIV expression was observed in direct coculture experiments of B lymphocytes and HIV-infected cells, and could also be mediated by supernatants from cultures of B cells. Significantly higher amounts of interleukin 6 (IL-6) and tumor necrosis factor alpha (TNF-alpha) were detected in the B cell culture supernatants from HIV-infected patients with hypergammaglobulinemia (IL-6: mean = 536 pg/ml; TNF-alpha: mean = 493 pg/ml), as compared with normal uninfected controls (IL-6: mean = 18 pg/ml; TNF-alpha: mean = 23 pg/ml). Antibodies against these cytokines abolished the HIV-inductive capacity of B cells. We conclude that in vivo activated B cells in HIV-infected individuals can upregulate the expression of virus in infected cells by secreting cytokines such as TNF-alpha and IL-6, and, therefore, may play a role in the progression of HIV infection.
Regulating the Regulators: The Post-Translational Code of Class I HDAC1 and HDAC2

Class I histone deacetylases (HDACs) are cellular enzymes expressed in many tissues and play crucial roles in differentiation, proliferation, and cancer. HDAC1 and HDAC2 in particular are highly homologous proteins that show redundant or specific roles in different cell types or in response to different stimuli and signaling pathways. The molecular details of this dual regulation are largely unknown. HDAC1 and HDAC2 are not only protein modifiers, but are in turn regulated by post-translational modifications (PTMs): phosphorylation, acetylation, ubiquitination, SUMOylation, nitrosylation, and carbonylation. Some of these PTMs occur and crosstalk specifically on HDAC1 or HDAC2, creating a rational “code” for a differential, context-related regulation. The global comprehension of this PTM code is central for dissecting the role of single HDAC1 and HDAC2 in physiology and pathology.
Multi-instance Multi-graph Dual Embedding Learning

Multi-instance learning concerns about building learning models from a number of labeled instance bags, where each bag consists of instances with unknown labels. A bag is labeled positive if one or more multiple instances inside the bag is positive, and negative otherwise. For all existing multi-instance learning algorithms, they are only applicable to the setting where instances in each bag are represented by a set of well defined feature values. In this paper, we advance the problem to a multi-instance multi-graph setting, where a bag contains a number of instances and graphs in pairs, and the learning objective is to derive classification models from labeled bags, containing both instances and graphs, to predict previously unseen bags with maximum accuracy. To achieve the goal, the main challenge is to properly represent graphs inside each bag and further take advantage of complementary information between instance and graph pairs for learning. In the paper, we propose a Dual Embedding Multi-Instance Multi-Graph Learning (DE-MIMG) algorithm, which employs a dual embedding learning approach to (1) embed instance distributions into the informative sub graphs discovery process, and (2) embed discovered sub graphs into the instance feature selection process. The dual embedding process results in an optimal representation for each bag to provide combined instance and graph information for learning. Experiments and comparisons on real-world multi-instance multi-graph learning tasks demonstrate the algorithm performance.
Associations Between the Big Five Personality Traits and the Non-Medical Use of Prescription Drugs for Cognitive Enhancement

While the number of studies of the non-medical use of prescription drugs to augment cognitive functions is growing steadily, psychological factors that can potentially help explain variance in such pharmaceutical cognitive enhancement (CE) behavior are often neglected in research. This study investigates the association between the Big Five personality traits and a retrospective (prior CE-drug use) as well as a prospective (willingness to use CE drugs) measure of taking prescription drugs with the purpose of augmenting one's cognitive functions (e.g., concentration, memory, or vigilance) without medical necessity. We use data from a large representative survey of German employees (N = 6454, response rate = 29.8%). The Five Factor Model (FFM) of Personality was measured with a short version of the Big Five Personality Traits Inventory (BFI-S), which includes: openness to experience, conscientiousness, extraversion, agreeableness, and neuroticism. Together with this, demographic variables such as gender, age, education, and income were used as potential confounders in multiple logistic regression models. Our results show a 2.96% lifetime prevalence of CE-drug use and a 10.45% willingness to (re)use such drugs in the future. We found that less conscientious and more neurotic respondents have a higher probability of prior CE-drug use and a greater willingness to use CE drugs in the future. No significant effects were found for openness, extraversion, or agreeableness. Prior CE-drug use was strongly associated with a greater willingness to take such drugs in the future. This study shows that specific personality traits are not only associated with prior enhancement behavior, but also affect the willingness to (re)use such drugs. It helps increase understanding of the risk factors of CE-drug use, which is a health-related behavior that can entail severe side-effects for consumers. The knowledge gathered can thus help improve interventions aimed at minimizing health problems.
Search Based Peer Firms: Aggregating Investor Perceptions through Internet Co-Searches

Applying a “co-search” algorithm to Internet traffic at the SEC׳s EDGAR website, we develop a novel method for identifying economically related peer firms and for measuring their relative importance. Our results show that firms appearing in chronologically adjacent searches by the same individual (Search-Based Peers or SBPs) are fundamentally similar on multiple dimensions. In direct tests, SBPs dominate GICS6 industry peers in explaining cross-sectional variations in base firms׳ out-of-sample: (a) stock returns, (b) valuation multiples, (c) growth rates, (d) R&D expenditures, (e) leverage, and (f) profitability ratios. We show that SBPs are not constrained by standard industry classification, and are more dynamic, pliable, and concentrated. We also show that co-search intensity captures the degree of similarity between firms. Our results highlight the potential of the collective wisdom of investors — extracted from co-search patterns — in addressing long-standing benchmarking problems in finance.