Miracle-dz/UniFAR-FTUs huggingface dataset:
Narcissistic Needs of the Self and Perceptions of Interpersonal Behavior

A total of 78 mental health clients participating in therapy groups completed self-report measures corresponding to narcissistic personality defects derived from a self-psychology perspective and ratings of themselves on a checklist of interpersonal behavior. Also, pairs of group leaders were asked to rate clients on interpersonal behaviors. Results indicated a clear convergence of narcissistic needs and self-perceptions of interpersonal behaviors: Those with strong grandioseexhibitionistic needs viewed themselves as having both dominant and friendly behavior, whereas those with strong idealizing needs viewed themselves as being submissive and moderately hostile. Therapist ratings of interpersonal behaviors did not yield as many significant correlations with self-ratings of narcissistic needs: Those with grandiose-exhibitionistic needs were observed using dominant behavior and those with idealizing needs were observed using submissive behavior. The premise of this study is that the narcissistic needs of the self should be related to interpersonal behavior. Kohut (1971, 1977, 1984) constructed a comprehensive developmental theory called psychology of the self, in which narcissistic needs refer to the natural striving toward self-expression or self-promotion that is central to all personality development. From this perspective, self-expression and narcissism are parts of the same developmental process, in which the self increasingly relies on internal rather than external sources both to maintain a sense of permanence and well-being and to develop native talents and skills. Pathological narcissism is a result of faulty self-development and results in the maladaptive use of interpersonal relations to promote self-expression. Kohut (1971) theorized that the self is the initiating center of the personality and reflects basic narcissistic or self-expressive needs contained in two lines of development, the grandiose-exhibitionistic and the idealizing (a third line, the alter ego, was tentatively incorporated into the theory (Kohut, 1984) just prior to Kohut's death and is not used in this article). In the young child, the needs of the self are met through important others, who provide external sources of support and encouragement. Through phase-appropriate and nontraumatic lapses in parental empathy, the child begins to internally regulate a sense of stability and security and to use his or her native talents and skills. More specifically, in the grandiose-exhibitionistic sector, the immature self uses the admiration and approval of others to provide a sense of selfworth, whereas in the mature self, self-esteem and ambition are internally regulated. In the idealizing sector, the immature
Review of Uncertainty Reasoning Approaches as Guidance for Maritime and Offshore Safety-Based Assessment

Abstract Many different formal techniques have been developed over the past two decades for dealing with uncertain information for decision making. In this paper we review some of the most important ones, i.e., Bayesian theory of probability, Dempster-Shafer theory of evidence, and fuzzy set theory, describe how they work and in what ways they differ from one another, and show their strength and weakness respectively as well as their connection. We also consider hybrid approaches which combine two or more approximate reasoning techniques within a single reasoning framework. These have been proposed to address limitations in the use of individual techniques. The study is intended to provide guidance in the process of developing frameworks for maritime and offshore safety-based decision analysis using different methods for reasoning under uncertainty.
Random matrices with external source and multiple orthogonal polynomials

We show that the average characteristic polynomial Pn(z) = E[det(zI−M)] of the random Hermitian matrix ensemble Z 1 n exp(−Tr(V (M) − AM))dM is characterized by multiple orthogonality conditions that depend on the eigenvalues of the external source A. For each eigenvalue aj of A, there is a weight and Pn has nj orthogonality conditions with respect to this weight, if nj is the multiplicity of aj. The eigenvalue correlation functions have determinantal form, as shown by Zinn-Justin. Here we give a different expression for the kernel. We derive a Christoffel-Darboux formula in case A has two distinct eigenvalues, which leads to a compact formula in terms of a Riemann-Hilbert problem that is satisfied by multiple orthogonal polynomials.
Corporate Bond Spreads and Real Activity in the Euro Area - Least Angle Regression Forecasting and the Probability of the Recession

This paper aims at providing a detailed analysis of the leading indicator properties of corporate bond spreads for real economic activity in the euro area. In- and out-of-sample predictive content of corporate bond spreads are examined along three dimensions: the bonds’ quality, their term to maturity, as well as the forecast horizon at which one intends to predict a change in real activity. Numerous alternative leading indicators capturing macroeconomic and financial conditions are included in the analysis. Along with standard time series forecast models, the Least Angle Regression (LAR) technique is used to build multivariate models recursively. Models built via LAR can be used to produce forecasts and allow one to analyze how the composition and the number of relevant model variables evolve over time. Corporate bond spreads turn out to be valuable predictors for real activity, in particular at forecast horizons beyond one year; Medium risk bond spreads with maturities between 5 and 10 years appear particularly rich in content. The spreads also belong to the group of indicators that implied the highest probability of a recession occurring from a pre-crisis perspective.
An in-depth characterisation of Bots and Humans on Twitter

Recent research has shown a substantial active presence of bots in online social networks (OSNs). In this paper we utilise our past work on studying bots (Stweeler) to comparatively analyse the usage and impact of bots and humans on Twitter, one of the largest OSNs in the world. We collect a large-scale Twitter dataset and define various metrics based on tweet metadata. We divide and filter the dataset in four popularity groups in terms of number of followers. Using a human annotation task we assign 'bot' and 'human' ground-truth labels to the dataset, and compare the annotations against an online bot detection tool for evaluation. We then ask a series of questions to discern important behavioural bot and human characteristics using metrics within and among four popularity groups. From the comparative analysis we draw important differences as well as surprising similarities between the two entities, thus paving the way for reliable classification of automated political infiltration, advertisement campaigns, and general bot detection.
Relatively effortless listening promotes understanding and recall of medical instructions in older adults

Communication success under adverse conditions requires efficient and effective recruitment of both bottom-up (sensori-perceptual) and top-down (cognitive-linguistic) resources to decode the intended auditory-verbal message. Employing these limited capacity resources has been shown to vary across the lifespan, with evidence indicating that younger adults out-perform older adults for both comprehension and memory of the message. This study examined how sources of interference arising from the speaker (message spoken with conversational vs. clear speech technique), the listener (hearing-listening and cognitive-linguistic factors), and the environment (in competing speech babble noise vs. quiet) interact and influence learning and memory performance using more ecologically valid methods than has been done previously. The results suggest that when older adults listened to complex medical prescription instructions with “clear speech,” (presented at audible levels through insertion earphones) their learning efficiency, immediate, and delayed memory performance improved relative to their performance when they listened with a normal conversational speech rate (presented at audible levels in sound field). This better learning and memory performance for clear speech listening was maintained even in the presence of speech babble noise. The finding that there was the largest learning-practice effect on 2nd trial performance in the conversational speech when the clear speech listening condition was first is suggestive of greater experience-dependent perceptual learning or adaptation to the speaker's speech and voice pattern in clear speech. This suggests that experience-dependent perceptual learning plays a role in facilitating the language processing and comprehension of a message and subsequent memory encoding.
The Effect of Salary Caps in Professional Team Sports on Social Welfare

Abstract This paper provides a theoretical model of a team sports league and studies the welfare effect of salary caps. It shows that salary caps will increase competitive balance and decrease overall salary payments within the league. The resulting effect on social welfare is counter-intuitive and depends on the preference of fans for aggregate talent and for competitive balance. A salary cap that binds only for large-market clubs will increase social welfare if fans prefer aggregate talent despite the fact that the salary cap will result in lower aggregate talent. If fans prefer competitive balance, on the other hand, any binding salary cap will reduce social welfare.
The Optimal Currency Area in a Liquidity Trap

Open economy macro theory says that when a country is subject to idiosyncratic macro shocks, it should have its own currency and a flexible exchange rate. But recently in many countries policy rates have been pushed down close to the lower bound, limiting the ability of policy-makers to accommodate shocks, even in open economies with flexible exchange rates. In this paper, we show that if the zero bound constraint is binding and policy lacks an effective `forward guidance' mechanism, a flexible exchange rate system may be inferior to a single currency area, even when there are country-specific macro shocks. When monetary policy is constrained by the zero bound, under independent currencies with flexible exchange rates, the exchange rate exacerbates the impact of shocks. Remarkably, this may hold true even if only a subset of countries are constrained by the zero bound, and other countries freely adjust their interest rates. In order for a regime of multiple currencies to dominate a single currency area in a liquidity trap environment, it is necessary to have effective forward guidance in monetary policy.
Predicting Bugs in Source Code Changes with Incremental Learning Method

Software is constructed by a series of changes and each change has the risk to introduce bugs. Predicting the existence of bugs in source code changes could help developers detect and fix bugs immediately upon the completion of a change, which accelerates the bug fixing process and save the limited time and human resources effectively. However, because of altering nature in the underlying bug generation process, the concept used to depict the bug introducing patterns is drifting, which makes it difficult to predict latent bugs of source code changes accurately, especially in the long-term prediction scenario. In order to deal with this problem, a feature-based incremental learning framework is proposed. It is comprised of three components:(1) an incremental discretization method, which is used to transform the quantitive features in the corpus incrementally, (2) an incremental feature selection method, which is always keeping a subset with the most informative features, and (3) an incremental classification algorithm, which updates the classifier dynamically and considers the current best subset of features during prediction. This proposed approach is evaluated on three famous open source systems, Eclipse, Mozilla and jedit. The results show that our approach performs better than the non-incremental method in dealing with concept drift, with the consideration of keeping the value of both precision and recall stable at a suitable level over time. We also implement a prototype with this learning framework and apply it to a real software development scenario.
Why is Cash (Still) so Entrenched? Insights from Canadian Shopping Diaries

type="main" xml:id="coep12066-abs-0001"> One similarity among many developed economies is the predominance of cash over electronic payments in terms of payment frequency, especially for the low-value transactions that are the bulk of retail payments. We use the Bank of Canada's 2009 Methods-of-Payment Survey, which collected information on consumers' payment choices through shopping diaries, to estimate a simple model of choice between cash and other payment methods. Results suggest that the main reasons cash is still a popular payment instrument in Canada, especially for low-value transactions, are its wide acceptance among merchants compared with other alternatives, speed and ease of use, and low marginal cost when on hand. ( JEL E41, D12, L81)
The Spatial Distribution of the Galactic First Stars. I. High-Resolution N-Body Approach

We study the spatial distribution of Galactic metal-free stars by combining an extremely high-resolution (7.8 × 105 M☉ per particle) cold dark matter N-body simulation of the Milky Way with a semianalytic model of metal enrichment. This approach allows us to resolve halos with virial temperatures down to the 104K atomic cooling limit, and it is sufficiently flexible to make a number of robust conclusions, despite the extremely uncertain properties of the first stars. Galactic metal-free stars are formed over a large redshift range, which peaks at z ≈ 10, but continues down to z ≈ 5, contributing stars at a wide range of Galactocentric radii. Stars containing only metals from primordial stars are similarly widespread. Neither changing the efficiency of metal dispersal by 2 orders of magnitude, nor drastically changing the approximations in our semianalytical model can affect these result. Thus, if they have sufficiently long lifetimes, a significant number of stars formed in initially primordial star clusters should be found in the nearby Galactic halo. Observations of metal abundances in Galactic halo stars should be taken as directly constraining the properties of primordial stars, and the lack of metal-free halo stars today should be taken as strongly suggesting a 0.8 M☉ lower limit on the primordial initial mass function.
Mechanical Thrombolysis Using Coil in Acute Occlusion of Fenestrate M1 Segment

A fenestrated middle cerebral artery (MCA) is a rare congenital anomaly, and is related to interference in the normal embryonic development of the MCA. Fenestrated MCA has been regarded to have no clinical significance other than a rare event of hemorrhage from associated aneurysm. However, the fenestration within the arterial trunk can be an obstacle against thrombus migration and may be associated with a major cerebral infarction. Moreover, the presence of this anomaly can be hardly detected prior to thrombolytic procedures, and emergent treatments are proceeded without any information of anatomical configurations. Therefore, the recanalization procedures would carry a high risk of intraprocedural complications. We report a rare case of MCA territory infarction from occlusion of fenestrated M1 segment, and also introduce a safe method of mechanical thrombolysis using coil.
Face recognition using thermal infrared images for Human-Robot Interaction applications: A comparative study

The aim of this work is to carry out a comparative study of face-recognition methods for Human-Robot Interaction (HRI) applications using long wave infrared images. The analyzed methods are selected by considering their suitability for HRI use, and their performance in former comparative studies. The methods are compared using visible and infrared (8–12 µm) images. The results of this comparative study are intended to be a guide for developers of face recognition systems for HRI.
A general framework for the distance–decay of similarity in ecological communities

Species spatial turnover, or β-diversity, induces a decay of community similarity with geographic distance known as the distance–decay relationship. Although this relationship is central to biodiversity and biogeography, its theoretical underpinnings remain poorly understood. Here, we develop a general framework to describe how the distance–decay relationship is influenced by population aggregation and the landscape-scale species-abundance distribution. We utilize this general framework and data from three tropical forests to show that rare species have a weak influence on distance–decay curves, and that overall similarity and rates of decay are primarily influenced by species abundances and population aggregation respectively. We illustrate the utility of the framework by deriving an exact analytical expression of the distance–decay relationship when population aggregation is characterized by the Poisson Cluster Process. Our study provides a foundation for understanding the distance–decay relationship, and for predicting and testing patterns of beta-diversity under competing theories in ecology. Ecology Letters (2008) 11: 904–917
Diagnostic value of post-bronchodilator pulmonary function testing to distinguish between stable, moderate to severe COPD and asthma

Objective The GOLD guidelines suggest that the presence of a post-bronchodilator forced expiratory volume in one second (FEV1) < 80% of the predicted value in combination with a FEV1/forced vital capacity (FVC) < 70% confirms the diagnosis of COPD. Limited data exist regarding the accuracy of these criteria to distinguish between COPD and asthma. The aim of this study therefore was to investigate the diagnostic value of post-bronchodilator lung function parameters in obstructive lung disease. Methods The pulmonary function tests of 43 (22 = COPD, 21 = asthma) patients with similar baseline characteristics were evaluated (baseline FEV1 were 55.7% ± 7.6%, and 59.3% ± 8.4% predicted for COPD and asthma, respectively). Bronchodilator responsiveness (BDR) was calculated according to three recognized pulmonary function test criteria. Results The first criteria, post-bronchodilator FEV1 < 80% of the predicted value in combination with a post-bronchodilator FEV1/FVC ratio of <70%, had an accuracy of 70% to diagnose COPD. This combination was very sensitive (100%) in diagnosing COPD, but it was not specific (38%). The second BDR criteria, defined as an increase of <12% and 200 mL of initial FEV1 and criterion number 3, an increase of < 9% of predicted FEV1, were less sensitive (55% and 59%, respectively), but more specific (81% and 76% respectively) to diagnose COPD. Our findings suggest that the current recommended spirometric indices are not optimal in differentiating between COPD and asthma.
Non-local gravitational effective action and particle production

We study the effective action for gravity obtained after the integration of scalar matter fields, using the local momentum representation based on the Riemann normal coordinates expansion. By considering this expansion around different space-time points, we also compute the non-local terms together with the more usual divergent ones. We discuss the applicability of our results to the calculation of particle production rates in cosmological backgrounds and compare this method with the traditional Bogolyubov transformations.
An investigation of undergraduate student self-employment intention and the impact of entrepreneurship education and previous entrepreneurial experience

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Learning As Conversation : Transforming Education in the Mobile Age

Every era of technology has, to some extent, formed education in its own image. That is not to argue for the technological determinism of education, but rather that there is a mutually productive convergence between main technological influences on a culture and the contemporary educational theories and practices. Thus, in the era of mass print literacy, the textbook was the medium of instruction, and a prime goal of the education system was effective transmission of the canons of scholarship. During the computer era of the past fifty years, education has been re-conceptualised around the construction of knowledge through information processing, modelling and interaction. Now, as we enter a new world of global digital communication, it is no surprise that there is a growing interest in the relations between mobile technology and learning. What we lack, however, is an innovative and enhancing educational framework for the mobile age.
Inverse Boundary Spectral Problems

© 2001 by Chapman & Hall/CRC. Inverse boundary problems are a rapidly developing area of applied mathematics with applications throughout physics and the engineering sciences. However, the mathematical theory of inverse problems remains incomplete and needs further development to aid in the solution of many important practical problems. Inverse Boundary Spectral Problems develop a rigorous theory for solving several types of inverse problems exactly. In it, the authors consider the following: “Can the unknown coefficients of an elliptic partial differential equation be determined from the eigenvalues and the boundary values of the eigenfunctions? ” Along with this problem, many inverse problems for heat and wave equations are solved. The authors approach inverse problems in a coordinate invariant way, that is, by applying ideas drawn from differential geometry. To solve them, they apply methods of Riemannian geometry, modern control theory, and the theory of localized wave packets, also known as Gaussian beams. The treatment includes the relevant background of each of these areas. Although the theory of inverse boundary spectral problems has been in development for at least 10 years, until now the literature has been scattered throughout various journals. This self-contained monograph summarizes the relevant concepts and the techniques useful for dealing with them.
Manganese Superoxide Dismutase Gene Polymorphism (V16A) is Associated with Diabetic Retinopathy in Slovene (Caucasians) Type 2 Diabetes Patients

Substantial data indicate that oxidative stress is involved in the development of diabetic retinopathy. Two candidate genes that affect the oxidative stress are manganese mitochondrial superoxide dismutase (Mn-SOD) and endothelial nitric oxide synthase (eNOS). The aim of the present study was to examine the role of the V16A polymorphism of the Mn-SOD gene and the 4a/b polymorphism of the eNOS gene in the development of diabetic retinopathy in Caucasians with type 2 diabetes. In this cross sectional case-control study 426 unrelated Slovene subjects (Caucasians) with type 2 diabetes mellitus were enrolled: 283 patients with diabetic retinopathy and the control group of 143 subjects with type 2 diabetes of duration of more than 10 years who had no clinical signs of diabetic retinopathy. A significantly higher frequency of the VV genotype of the V16A polymorphism of the Mn-SOD was found in patients with diabetic retinopathy compared to those without diabetic retinopathy (OR=2.1, 95% CI = 1.2–3.4; p = 0.006), whereas the 4a/b polymorphism of the eNOS gene failed to yield an association with diabetic retinopathy. We may conclude that the VV genotype of the V16A polymorphism of the Mn-SOD gene was associated with diabetic retinopathy in Caucasians with type 2 diabetes, therefore it might be used as a genetic marker of diabetic retinopathy in Caucasians.