Miracle-dz/UniFAR-FTUs huggingface dataset:
INVESTIGATING GRANDIOSE NARCISSISM AS A PERSONALITY PROCESS

Though grandiose subclinical narcissism has predominantly been studied in structural terms—focused on individuals’ general tendencies to be more or less narcissistic—narcissism may also function as a personality process (i.e., narcissism fluctuates within-individuals across contexts or situations). Narcissism has also been conceptualized as a dynamic self-regulatory system, a set of coherent, mutually-reinforcing attributes, which orients individuals toward positive self-feelings (e.g., Campbell & Foster, 2007). In this dissertation, I empirically examine the possibility that narcissism has a meaningful process or state component and is more contextdependent than previously assumed. Manuscript 1 found that making people feel more connected to others (by increasing empathic concern or priming interdependent self-construal) reduced their endorsement of narcissistic tendencies and, in turn, negated some of the negative aspects associated with narcissism (e.g., fame seeking). Using a daily diary methodology, in Manuscripts 2 and 3, it was found that there is a modest, yet meaningful, amount of within-person variability in people’s narcissistic tendencies. This variability existed across different samples of participants, different time periods (i.e., 10 and 14-days), and across different assessments and conceptualizations of narcissism. Importantly this variability was psychologically meaningful, in that people’s narcissism shifted in accordance with their daily experiences (e.g., positive agentic events) or their daily psychological well-being (e.g., life satisfaction, positive affect). Together these manuscripts provide some initial evidence that grandiose narcissism can vary within individuals and that this variability can meaningfully fluctuate across different situational affordances (e.g., when feeling powerful or more connected to other people). Indeed narcissism may function as a dynamic self-regulatory system orienting individuals toward self-enhancement and positive self-views.
I Dig Therefore We Are: Community Archaeology, Place‐based Social Identity, and Intergroup Relations Within Local Communities

Community involvement in archaeological digs aims to reconnect people with the history and heritage of where they live. This paper applies social psychological theories to understand how community archaeological projects create opportunities for place-based social identity and positive inter-group relations. Focus groups were conducted across five areas of Greater Manchester (UK) with 24 participants who volunteered for Dig Greater Manchester, a community archaeology initiative. The focus groups aimed to understand how experiences of participating in digs and exploring local heritage modified, strengthened or initiated identification with place and community; thus moving from individual levels to social levels of identity. The findings offer insight as to the ways in which people make sense of their own - and others’ – place-based social identities as a result of participating in community archaeological digs.
Book Reviews: Statistically-Driven Computer Grammars of English: The IBM/Lancaster Approach

Statistical computational linguistics is entering a consolidation phase, signaled by the appearance of book-length tracts devoted to single, coherent projects. After several years of vigorous research in the area, gains along a number of dimensions have solidified into established methodology. Although Statistically-Driven Computer Grammars of English (henceforth SDCGE) is an edited collection, its presentation of a broad range of issues, spanning methodologies from linguistic evaluation to statistical training, is tightly and lucidly integrated. SDCGE is the product of a five-year collaboration between IBM T.J. Watson Research Center's Continuous Speech Recognition Group and Lancaster University's Unit for Computer Research on the English Language, to produce a wide-coverage English parser with the aid of statistical grammar-training techniques. The project initially targeted the AP newswire, but eventually lowered its aim to IBM computer manuals. As motivation, Ezra Black opens the book with an introduction summarizing three experiments demonstrating the poor accuracy of "traditional" parsing systems, most notably a 1992 evaluation of 35 parsers against the Penn Treebank, which yielded only 22% average correctness (by a generous criterion) by the only seven participants willing to report their results. The project incorporates two complementary statistical methodologies. Grammar development is driven by ranking error types by frequency over the corpus, and fixing the most frequent ones first. Evaluation is performed by taking the maximumlikelihood parse for each sentence as the grammar's prediction, rather than the "traditional" approach of allowing many possible parses, as with chart parsers. This condition is crucial, since otherwise the accuracy (recall) of any parser can be arbitrarily inflated by simply outputting more parses per sentence. One of the most important services of SDCGE to its readers is its assemblage of invaluable anecdotes for those seeking to avoid the costly pitfalls that are easily encountered in this field, especially where human evaluation and processing of corpora are involved. The authors' experience with various levels of treebanking detail, along with the tradeoffs involved, is described in chapters by Roger Garside and Anthony McEnery, and Elizabeth Eyes and Geoffrey Leech. Treebanking proceeds by verifying the output from the CLAWS automatic tagging system, followed by human "skeleton parsing," where sentences are bracketed into flat parse trees labeled from a minimal
Internet Addiction and dependency: A case study in UNITEN, Malaysia

The Internet has become an inseparable part of our daily lives. However, problematical use of the Internet can lead to various types of mental and physical problems. Internet Addiction (IA) is a disorder which is caused by problematical Internet usage. This study aims to determine the situation of Internet Addiction in UNITEN, Malaysia by looking at the Internet usage patterns. How is the Internet Addiction situation in UNITEN, Malaysia? What are the profiles of the Malaysian Internet Users? The research employed a quantitative approach. Data collection was based on a web-based and paper-based survey of 700 college students in Malaysia. The questionnaire survey was developed based on Dr. K. Young's Internet Addiction Test (IAT) and Internet Addiction Diagnostic Questionnaire (IADQ). The respondents were then categorized into 3 levels of Internet Addiction: mild, moderate and severe Internet Addiction. A comparative analysis was performed on the situation in Malaysia in which data on the pattern and the usage of Internet was already available. The survey which was carried out with 700 respondents, produced a 3 percent spoiled result, and found that 31 percent of the respondents are mild addicts, 63 percent are moderate addicts and only 3 percent of the respondents are severe Internet Addicts. Further details which include the profiles of Malaysian Internet users and the revision over published knowledge based on Malaysia Internet Addiction are provided in detail. Physical and mental problems caused by Internet Addiction consequently make problems for the society. An awareness of the Internet usage pattern and the situation of Internet Addiction help to prevent and control the negative consequences of this modern disorder.
Executive Compensation and Strategic Risk-Taking in IT

This study examines how the risk-taking incentive of top executives drives the strategic risk-taking in corporate IT implementation. We use the risk incentive provided in executive compensation to capture top executives’ risk-taking incentive, and develop measures of aggressive IT implementation to capture strategic risk-taking in IT implementation. Our analysis provides empirical evidence that the risk incentive of executive compensation drives aggressive IT implementation. We also consider how firm diversification may influence the relationship between the risk incentive of top executives and aggressive IT implementation. Our finding indicates that the relationship between the risk incentive of top executives and aggressive IT implementation is stronger in focal firms’ primary industries than in their secondary industries, which suggests that diversification supports IT risk taking by providing riskseeking executives more opportunities in the areas that are less familiar to them.
Integrating E-learning in Classroom-based Language Teaching: Perceptions, Challenges and Strategies

The paper presents the findings of a recent research study at Majan University College, Oman, which aims at exploring the perceptions of students and teachers regarding the use of e-learning pedagogical tools in a language classroom, the challenges they face and some strategies to enhance the practical application of e-learning tools in classroom-based language teaching. The study, following the qualitative and quantitative research approaches, interviewed 8 English lecturers and administered a five-point Likert scale questionnaire with 46 learners. The qualitative data were analyzed using a coding system and quantitative data were analyzed using computer excel programme to get highest and lowest percentage of subjects' responses. The study finds that both teachers and learners perceive that e-learning: helps students take the ownership of their own learning, provides diversification of activities, fosters intrinsic impetus of learning, enables introvert students to interact better, permits acquiring valuable study and time management skills, allows teachers to have more student-centered form of learning, etc. However, reservations regarding excessive use of technology at the cost of language learning have also been reported. The paper discusses the challenges that hamper ICT success under three headings: technical, administrative and pedagogical. The major challenges reported are marginally less technologically sophisticated faculty, unreliable technology, lack of confidence and experience of instructors and students with technology, substantial amount of time required for lecturers to fine-tune their instructions for electronic transmission of knowledge, lack of e-learning resources to administer networked classes and electronic assessments, etc. The study concludes that ICT has great potential to be integrated in classroom-based language teaching. However, in order to utilize the full potential of ICT and to equip students with skills to be lifelong language learners, it follows that teachers and learners' confidence to use technology should be raised by duly facilitating them with the required electronic equipment, training and time resources.
Noisy Sequence Classification with Smoothed Markov Chains

This paper is concerned with sequence classification using Markov chains when classification noise is included in the learning data. These models offer a direct generalization of a Multinomial Naive Bayes classifier by taking into account dependences between successive events up to a certain history length. Our study shows that smoothed Markov chains are very robust to classification noise. The relation between classification accuracy and test set perplexity, often used to measure prediction quality, is discussed. The influence of varying the model order is also studied from an experimental viewpoint. Experiments are conducted both on a gender classification task from spelling of first names and splicing region classification in DNA sequences. The first set of experiments also illustrate the superiority of smoothed Markov chains to classify noisy sequence over an automaton learning technique using boosting.
On the number of nodal domains of random spherical harmonics

Let $N(f)$ be a number of nodal domains of a random Gaussian spherical harmonic $f$ of degree $n$. We prove that as $n$ grows to infinity, the mean of $N(f)/n^2$ tends to a positive constant $a$, and that $N(f)/n^2$ exponentially concentrates around $a$. This result is consistent with predictions made by Bogomolny and Schmit using a percolation-like model for nodal domains of random Gaussian plane waves.
Speculation and Hedging in Segmented Markets

We analyze a model in which traders have different trading opportunities and learn information from prices. The difference in trading opportunities implies that different traders may have different trading motives when trading in the same market—some trade for speculation and others for hedging—and thus they may respond to the same information in opposite directions. This implies that adding more informed traders may reduce price informativeness and therefore provides a source for learning complementarities leading to multiple equilibria and price jumps. Our model is relevant to various realistic settings and helps to understand a variety of modern financial markets.
Analysis of Example Weighting in Subgroup Discovery by Comparison of Three Algorithms on a Real-life Data Set

This paper investigates the implications of example weighting in subgroup discovery by comparing three state-of-the-art subgroup discovery algorithms, APRIORI-SD, CN2-SD, and SubgroupMiner on a real-life data set. While both APRIORI-SD and CN2-SD use example weighting in the process of subgroup discovery, SubgroupMiner does not. Moreover, APRIORI-SD uses example weighting in the post-processing step of selecting the ‘best’ rules, while CN2-SD uses example weighting during rule induction. The results of the application of the three subgroup discovery algorithms on a real-life data set – the UK Traffic challenge data set are presented in the form of ROC curves showing that APRIORISD slightly outperforms CN2-SD; both APRIORI-SD and CN2-SD are good in finding small and highly accurate subgroups (describing minority classes), while SubgroupMiner found larger and less accurate subgroups (describing the majority class). We show by using ROC analysis that these results are not surprising and can be attributed to example weighting, that ‘pushes’ the search in the space of potential subgroups towards discovering small and accurate subgroups.
The effect of metallicity on Cepheid magnitudes and the distance to M33

We present the results from a multi‐epoch survey of two regions of M33 using the 3.5 m WIYN telescope. The inner field is located close to the center of the galaxy, with the outer region situated about 5.1 kpc away in the southern spiral arm, allowing us to sample a large metallicity range. We have data for 167 fundamental mode Cepheids in the two regions. The reddening‐free Wesenheit magnitude Wvi period‐luminosity relations were used to establish the distance modulus of each region, with μinner = 24.37±0.02 mag and μouter = 24.54±0.03 mag. The apparent discrepancy between these two results can be explained by the significant metallicity gradient of the galaxy. We determine a value for the metallicity parameter of the Period‐Luminosity relation γ = δ(m−M)0δ log Z = −0.29±0.11 mag dex−1, consistent with previous measurements. This leads to a metallicity corrected distance modulus to M33 of μγ = 24.53±0.11 mag.
Twisted Gromov-Witten r-spin potential and Givental's quantization

The universal curve p:C->\Mbar over the moduli space \Mbar of stable r-spin maps to a target K\"ahler manifold X carries a universal spinor bundle L->C. Therefore the moduli space \Mbar itself carries a natural K-theory class Rp_*L. We introduce a twisted r-spin Gromov-Witten potential of X enriched with Chern characters of Rp_*L. We show that the twisted potential can be reconstructed from the ordinary r-spin Gromov-Witten potential of X via an operator that assumes a particularly simple form in Givental's quantization formalism.
A Deep Look at the Emission-Line Nebula in Abell 2597

The close correlation between cooling flows and emission-line nebulae in clusters of galaxies has been recognized for over a decade and a half, but the physical reason for this connection remains unclear. Here we present deep optical spectra of the nebula in Abell 2597, one of the nearest strong cooling-flow clusters. These spectra reveal the density, temperature, and metal abundances of the line-emitting gas. The abundances are roughly half-solar, and dust produces an extinction of at least a magnitude in V. The absence of [O III] λ4363 emission rules out shocks as a major ionizing mechanism, and the weakness of He II λ4686 rules out a hard ionizing source, such as an active galactic nucleus or cooling intracluster gas. Hot stars are therefore the best candidate for producing the ionization. However, even the hottest O stars cannot power a nebula as hot as the one we see. Some other nonionizing source of heat appears to contribute a comparable amount of power. We show that the energy flux from a confining medium can become important when the ionization level of a nebula drops to the low levels seen in cooling-flow nebulae. We suggest that this kind of phenomenon, in which energy fluxes from the surrounding medium augment photoelectric heating, might be the common feature underlying the diverse group of objects classified as LINERS.
Contextual Differences in the Effect of Interference During Language Switching in Korean-English Bilingual Speakers

Bilingual speakers are assumed to activate two languages during language comprehension and production even when the input or output is in only one language. The parallel activation of both languages may result in competition between languages (e.g., Costa et al., 2006, Kroll, Bobb, & Wodniecka, 2006, La Heij, 2005). Earlier studies examined how the two languages are processed and controlled by mitigating interference during language selection (e.g., Abutalebi & Green, 2008; Marian & Spivey, 2003; Poulisse, 1999). One way to study language control processes is to examine language-switching behaviors, a unique marker for these control processes (e.g., Bobb & Wodniecka, 2013). Although some earlier studies reported asymmetrical switch costs (i.e., larger switch cost from L2 to L1 than from L1 to L2), which were thought to reflect the role of inhibitory control in bilingual speech, more recent findings have been mixed, indicating that the nature of language control remains controversial (e.g., Calabria et al., 2012; Costa, Santesteban & Ivanova, 2006). Moreover, recent findings concerning bilingual language control imply that both language suppression and activation contribute to interference control during switching, leaving other
ARE THE EFFECTS OF STRUCTURE FORMATION SEEN IN THE CENTRAL METALLICITY OF GALAXY CLUSTERS?

A sample of 46 nearby clusters observed with Chandra is analyzed to produce radial density, temperature, entropy, and metallicity profiles, as well as other morphological measurements. The entropy profiles are computed to larger radii than in previous Chandra cluster sample analyses. We find that the iron mass fraction measured in the inner 0.15 R 500 ? > shows a larger dispersion across the sample of low-mass clusters than it does for the sample of high-mass clusters. We interpret this finding as the result of the mixing of more halos in large clusters than in small clusters, leading to an averaging of the metallicity in the large clusters, and thus less dispersion of metallicity. This interpretation lends support to the idea that the low-entropy, metal-rich gas of merging halos reaches the clusters’ centers, which explains observations of core-collapse supernova product metallicity peaks, and which is seen in hydrodynamical simulations. The gas in these merging halos would have to reach cluster centers without mixing in the outer regions. On the other hand, the metallicity dispersion does not change with mass in the outer regions of the clusters, suggesting that most of the outer metals originate from a source with a more uniform metallicity level, such as during pre-enrichment. We also measure a correlation between the metal content in low-mass clusters and the morphological disturbance of their intracluster medium, as measured by centroid shift. This suggests an alternative interpretation, whereby transitional metallicity boosts in the center of low-mass clusters account for the larger dispersion of their metallicities.
Strategic Use of Social Media for Stakeholder Engagement in Startup Companies in China

ABSTRACT This study examined the strategic use of social media for stakeholder engagement in startup companies in China. Guided by the theoretical framework of stakeholder engagement, in-depth interviews were conducted with 28 entrepreneurs in China, and a content analysis was performed with 419 corporate social media posts on Weibo and WeChat. Findings suggest that generating awareness, along with information sharing and word-of-mouth, cultivating long-term relationships, developing new businesses, and building image and reputation, are the primary purposes for stakeholder engagement. Thought leadership building, co-branding, and influencer endorsement were identified as new social media engagement strategies for startups. Message tactics and appeals utilized by startups and measurement and evaluation issues were also examined. Theoretical and practical implications are discussed.
Orbital fibrosis in a mouse model of Graves' disease induced by genetic immunization of thyrotropin receptor cDNA

The TSH receptor (TSHR) is the critical target for antibody production in Graves' disease (GD). Insulin-like growth factor 1 receptor (IGF1R) has been proposed as a second autoantigen in complications of GD such as orbitopathy. We attempted to induce orbital tissue remodeling in mice undergoing immunizations with plasmids encoding TSHR and IGF1R delivered by in vivo skeletal muscle electroporation, a procedure known to give a sustained, long-term antibody response. Female BALB/c mice were challenged with TSHR A-subunit or IGF1Rα subunit plasmid by injection and electroporation. Mice challenged with TSHR A-subunit plasmid resulted in high frequency (75%) of hyperthyroidism and thyroid-stimulating antibodies. But strikingly, immunization with TSHR A-subunit plasmid also elicited antibody to IGF1Rα subunit. Mice challenged in the same manner with IGF1Rα subunit plasmid produced strong antibody responses to IGF1R, but did not undergo any changes in phenotype. Simultaneous challenge by double antigen immunization with the two plasmids in distant anatomical sites reduced the incidence of hyperthyroidism, potentially as a consequence of antigenic competition. Thyroid glands from the TSHR A-subunit plasmid-challenged group were enlarged with patchy microscopic infiltrates. Histological analysis of the orbital tissues demonstrated moderate connective tissue fibrosis and deposition of Masson's trichrome staining material. Our findings imply that immunization with TSHR A-subunit plasmid leads to generation of IGF1R antibodies, which together with thyroid-stimulating antibodies may precipitate remodeling of orbital tissue, raising our understanding of its close association with GD.