Miracle-dz/UniFAR-FTUs huggingface dataset:
Work-Family Conflict, Sleep, and Mental Health of Nursing Assistants Working in Nursing Homes

Work-family conflict is challenging for workers and may lead to depression, anxiety, and overall poor health. Sleep plays an important role in the maintenance of mental health; however, the role of sleep in the association between work-family conflict and mental health is not well-studied. Questionnaires were collected from 650 nursing assistants in 15 nursing homes. Multivariate linear regression modeling demonstrated that increased work-family conflict was associated with lower mental health scores (β = −2.56, p < .01). More work-family conflict was correlated with more job demands, less job control, less social support, and longer work hours. Poor sleep quality, but not short sleep duration, mediated the association between work-family conflict and mental health. Workplace interventions to improve nursing assistants’ mental health should increase their control over work schedules and responsibilities, provide support to meet their work and family needs, and address healthy sleep practices.
High performance simulation and modelling of wireless vehicular ad hoc networks

Vehicular communications occur when two or more vehicles come into range of one another, to share data over wireless media. The applications of this communication are far-reaching, from toll collection to collision avoidance. Due to the proliferation of wireless devices and their ubiquitous nature it is now possible to operate in an ad hoc manner between transmitting stations. Vehicular ad hoc networks (VANET) are a special kind of network, that experience short link times and high levels of interference, but have the ability to present many driver information and safety solutions for the worlds roads. Computer simulation of VANET enables rapid-prototyping and intensive exploration of systems and protocol, using highly complex and computationally expensive models and programs. Experimentation with real vehicles would be time consuming and expensive, limiting the range of study that could be achieved and therefore reducing the accuracy of analytical solutions exposed through experimentation. An extensive corpus of work on networking, traffic modelling and parallel processing algorithm has been reviewed as part of this thesis, to isolate the current state-of-the-art and examine areas for novel research. In this thesis the value and importance of computer simulation for VANET is proposed, which explores the applications of a high-fidelity system when applied to real-world scenarios. The work is grounded on two main contributions: 1) that by using intervehicle communication and an advanced lane changing/merging algorithm the congestion that builds up around an obstruction on a highway can be alleviated and reduced more effectively than simple line-of-sight, even when only a proportion of the vehicles are radio equipped. 2) that the available parameter space, as large as it is, can be efficiently explored using a parallel algorithm with the NS-3 network simulation system. The large-scale simulation of VANET in highway scenarios can be used to discover universal trends and behaviours in the successful and timely delivery of data packets. The application of VANET research has a broad scope for use in modern vehicles and the optimisation of the transmission of data is highly relevant; a large number of parameters can be tuned in a networking device, but knowing which to tune and by how much is paramount to the operation of intelligent transport systems.
The influence of title sponsorships in sports events on stock price returns

The purpose of this study was to examine stock price abnormal returns following title sponsorship announcement and event date of NASCAR, the PGA Tour, and the LPGA Tour. For this purpose, the authors used event study analysis where the analysis measures the impact that a specific event has on stock prices by comparing actual stock returns to estimated returns (Spais & Filis, 2008). An event study analysis demonstrated that title sponsors for the LPGA Tour and NASCAR garnered significant stock price increases on both the announcement date and the event date. The moderator tests suggested that high image congruence and high-technology related sponsorships assumed a key role in stock price increases.
The impact of using large training data set KDD99 on classification accuracy

9 This study investigates the effects of using a large data set on supervised machine learning classifiers in the domain of Intrusion Detection Systems (IDS). To investigate this effect 12 machine learning algorithms have been applied. These algorithms are: (1) Adaboost, (2) Bayesian Nets, (3) Decision Tables, (4) Decision Trees (J48), (5)Logistic Regression, (6) Multi-Layer Perceptron, (7) Naive Bayes, (8) OneRule, (9)Random Forests, (10) Radial Basis Function Neural Networks, (11) Support Vector Machines (two different training algorithms), and (12) ZeroR. A well-known IDS benchmark dataset, KDD99 has been used to train and test classifiers. Full training data set of KDD99 is 4.9 million instances while full test dataset is 311,000 instances. In contrast to similar previous studies, which used 0.08%–10% for training and 1.2%–100% for testing, this study uses full training dataset and full test dataset. Weka Machine Learning Toolbox has been used for modeling and simulation. The performance of classifiers has been evaluated using standard binary performance metrics: Detection Rate, True Positive Rate, True Negative Rate, False Positive Rate, False Negative Rate, Precision, and F1-Rate. To show effects of dataset size, performance of classifiers has been also evaluated using following hardware metrics: Training Time, Working Memory and Model Size. Test results shows improvements in classifiers in standard performance metrics compared to previous studies. 10
Entrepreneurship and small business education: a conceptual exploration

Entrepreneurship education is a very important issue in the development entrepreneurship. The purpose of this paper is to explore principles based on entrepreneurship and small business research to build an entrepreneurship education program for potential entrepreneurs. Within this paper, principles are identified that will assist potential entrepreneurs turn into practicing entrepreneurs. Among the issues reviewed are learning, the entrepreneurial process, entrepreneurial self-efficacy and entrepreneurial intentions. The paper concludes with a proposition of what to teach to potential entrepreneurs and further research section suggests a curricula and technology review based on the findings of this paper.
Testing Brand - Switching Models

In most proposed models of consumer behavior, analytical methods of parameter estimation have proven intractable. In this article a computational method for obtaining minimum chi-square estimates is presented. In this method a goodness-of-fit statistic that can be used for testing hypotheses is a by-product of the parameter estimation. A quantitative approach for discriminating among competing models of consumer behavior is also developed. Some empirical results are presented to illustrate the concepts developed.
Using simulation to incorporate dynamic criteria into multiple criteria decision-making

In this paper, we present a case study demonstrating how dynamic and uncertain criteria can be incorporated into a multicriteria analysis with the help of discrete event simulation. The simulation guided multicriteria analysis can include both monetary and non-monetary criteria that are static or dynamic, whereas standard multi criteria analysis only deals with static criteria and cost benefit analysis only deals with static monetary criteria. The dynamic and uncertain criteria are incorporated by using simulation to explore how the decision options perform. The results of the simulation are then fed into the multicriteria analysis. By enabling the incorporation of dynamic and uncertain criteria, the dynamic multiple criteria analysis was able to take a unique perspective of the problem. The highest ranked option returned by the dynamic multicriteria analysis differed from the other decision aid techniques. The results suggest that dynamic multiple criteria analysis may be highly suitable for decisions that require long-term evaluation, as this is often when uncertainty is introduced.
Subordinated Debt in Bank Funding and Financial Market Stability

In the emerging consensus view on reforming bank capital requirements, the need for increased regulatory capital and some form of crisis insurance are beyond doubt, as has been established in Caballero (2009). The present paper contributes to the ongoing debate concerning the proper composition of capital buffers, in which banks favor sub-ordinate debt over equity. Subordinated debt recommends itself based on its ability to enhance market discipline in interbank funding markets. We find that this measure also helps towards resolving perverse incentives in the risk management framework based on VaR, since the reliance on subordinated debt helps in putting a cap on loss given default of senior claims of failing banks, hence emulating simultaneously the theoretically sound risk measure of expected shortfall and a version of a joint stress test and scenario analysis. To arrive at a benchmark to compare the viability of capital buffers, we propose to use a financier of last resort in a dual manner: as a theoretical entity to arrive at an archimedean point on which comparisons concerning capital adequacy can be based, and in practice in a certain weakened form of a market maker of last resort, extending the function of exchanges and of central clearing of derivatives. Based on these constructions and arguments, we demonstrate that it is optimal to increase capital requirements mainly based on sub-ordinate bank debt against the alternative of purely increasing equity buffers and staying within the VaR risk paradigm. We provide further support for this conclusion by showing its compatibility with the basic outcomes of economic capital models capable of capturing counterparty risk and contagion, leading to phase transitions and bimodal loss distributions.
Earnings Management And Initial Public Offerings: An Empirical Analysis

This paper studies the presence of earnings management in initial public offerings (IPOs) of French firms. When the aim of earnings management is to increase the attractiveness of the offered shares it needs to go undetected by market participants. This invisibility makes earnings management difficult to detect in the income statement and the balance sheet, thus investors would benefit from other information that reveals the probability of earnings management. Managers’ and owners’ incentives for managing earnings are used to assess the likelihood that earnings management is used before the IPO. Earnings management is tested by observing time-series profiles of accruals. The sample consists of French firms that went public in the years 1995 to 2008 on the Euronext Paris Exchange. The results suggest that IPO firms with the highest discretionary current accruals significantly underperformed, compared to equivalent companies in the third year following the IPOs.
[Poster] classifications of augmented reality uses in marketing

This research investigates which uses of AR have emerged so far in marketing and proposes classification schemas for them, based on the intensity of the augmentation, different contexts of consumption and on marketing functions. Such differentiation is needed in order to better understand the dynamics of augmentation of physical surroundings for commercial purposes and consequently to distinguish between consumer experiences.
Incidence of Antipsychotic-Associated Side Effects: Impact of Clinician Versus Patient Ratings and Change Versus Absolute Scores

Objective This study aimed to compare (1) the detection rates of antipsychotic-associated side effects between clinician and patient ratings and (2) differences as a function of change and absolute score definitions. Methods Data from phase 1 of the Clinical Antipsychotic Trials of Intervention Effectiveness (N = 1460) were analyzed. In this trial, 18 adverse events were systematically and concurrently assessed by clinicians and patients using a 4-point severity scale ranging from 0 (absent) to 3 (severe). The incidence of antipsychotic-associated side effects was calculated according to 2 definitions: change score (ie, higher score on the scale versus baseline) and absolute score (a score of 2 or 3 on the scale). In addition, patient and clinician concurrent detection rates were examined. Results The differences in incidence of antipsychotic-associated side effects between clinician and patient ratings were as small as 5.7% across the 2 definitions. The incidence of all side effects across clinician and patient ratings was approximately 2 times higher when using the change versus absolute score definition. Among the side effects detected by patients, 11 side effects were identified more frequently by clinicians, with 14.3% to 30.2% differences when using the change versus absolute score definition. Conversely, there was no difference of 10% or greater in patient or clinician concurrent detection rate on any item when using the absolute versus change score definition. Conclusions Our findings suggest that patient ratings are in line with clinician ratings and that the change score definition may be superior for the assessment of antipsychotic-associated side effects in clinical studies.
Leadership Development Among a Cohort of Undergraduate Interdisciplinary Students in the Health Professions

Leadership content and pedagogical strategies are fundamental to health professionals’ education. All health professionals must be able to lead effectively and thrive in today’s complex health systems. Students must be involved in meaningful didactic and experiential leadership development early in their academic progression, and educators are positioned to lead in this initiative. This paper describes pre-post findings from an application of Kouzes and Posner’s Student Leadership Practices Inventory with students who completed an interdisciplinary undergraduate leadership development program and observers’ perspectives of these students’ leadership characteristics. Outcome data found positive change in pre-post data except for encourage the heart for the student participants and challenges others for the observers. Critical reflection and authentic assessment of actions that occurred during the leadership program could have shifted students’ realization of behaviors they actually did not demonstrate as originally thought at the beginning of the program. Observers’ scores tended to be higher than students’ scores; however, minimal change in posttest scores could be attributed to not using the same observers for the pre and post assessments.
Solubilisation of the 5‐Hydroxytryptamine3 Receptor from Pooled Rat Cortical and Hippocampal Membranes

Abstract: 5‐Hydroxytryptamine3 (5‐HT3) receptors have been identified in the rat brain using the radioligand [3H]Q ICS 205–930. We report here that these sites have been solubilised from membranes prepared from pooled rat cerebral cortex and hippocampus using various detergents. Of the six detergents tested { 1% 3‐[(3‐cholamidopropyl)dimethylammonio]‐1‐propanesulphonate, 0.5% deoxycholate, 1% Lubrol, 0.5% digitonin, 1% Triton X‐100, and 1% octyl glucoside}, deoxycholate (0.5%) yielded the best solubilisation (54.6 ± 6% of receptor, 70.5 ± 4% of protein; n = 3). However, most detergents inhibited binding of [3H]Q ICS 205–930 in solution. Binding was found to be optimal after the receptor had been exchanged by gel filtration through Sephadex G‐25 into the detergent Lubrol PX (0.05%). Binding of [3H]Q ICS 205–930 to these soluble sites was saturable and specific (Bmax, = 46.1 ± 6 fmol/mg of protein; KD= 0.33 ± 0.09 nM; n = 4) and was similar to that observed in membranes. Kinetic studies of [3H]Q ICS 205–930 binding demonstrated it to be rapid, with equilibrium being achieved within 15 min at 4°C. The KD determined from the rates of association and dissociation (0.38 nM) agreed well with that determined by saturation analysis. Various antagonists competed for the soluble receptors with a rank order of potency typical for binding at a 5‐HT3 receptor site: zacopride (Ki= 0.26 nM) > quipazine (0.37 nM) = Q ICS 205–930 (0.33 nM) > ICS 205–930 (0.93 nM) > GR 38032F (2.2 nM) > BRL 24924 (4.1 nM) > MDL 72222 (23.4 nM) > ketanserin (6,000 nM). The agonists 5‐HT and 2‐methyl‐5‐HT also competed for [3H]Q ICS 205–930 binding with high affinity (39.6 and 55.6 nM respectively). Therefore, we conclude that the 5‐HT3 receptor of rat brain has been successfully solubilised, and this should provide a good starting point for purification of the receptor.
Evidence for a left‐over‐right inhibitory mechanism during figural creative thinking in healthy nonartists

As a complex mental process, creativity requires the coordination of multiple brain regions. Previous pathological research on figural creativity has indicated that there is a mechanism by which the left side of the brain inhibits the activities of the right side of the brain during figural creative thinking, but this mechanism has not been directly demonstrated. In this study, we used functional magnetic resonance imaging (fMRI) to demonstrate the existence of this inhibitory mechanism in young adults (15 women, 11 men, mean age: 22 years) that were not artists. By making comparisons between brain activity during creative and uncreative tasks, we found increased activity in the left middle and inferior frontal lobe and strong decreases in activity in the right middle frontal lobe and the left inferior parietal lobe. As such, these data suggest that the left frontal lobe may inhibit the right hemisphere during figural creative thinking in normal people. Moreover, removal of this inhibition by practicing artistry or through specific damage to the left frontal lobe may facilitate the emergence of artistic creativity. Hum Brain Mapp 34:2724–2732, 2013. © 2012 Wiley Periodicals, Inc.
International interdependence and dynamic linkages between developed stock markets

The evaluation of the performance of mutual funds (MFs) has been a very interesting research topic not only for researchers, but also for managers of financial, banking and investment institutions. This paper explores the performance of a non-parametric approach in developing MF performance evaluation models. The proposed approach is based on the UTADIS multicriteria decision aid method. The data set consists of daily data for 33 Greek domestic equity MFs, and is used to estimate the performance of the method in classifying the funds into two groups. A cross-validation procedure is employed to evaluate the predictive performance of the models and a comparison with linear discriminant analysis is also performed. The results indicate the superiority of the UTADIS method as opposed to the traditional discrimination technique.
On the performance of space-time codes over double correlated MIMO fading channels

In multi-antenna wireless communications, spatial and temporal correlations always affect the performance of space-time codes (STC) designed for uncorrelated channels. In this paper, we use the Laplace transform and derive a closed-form expression for pairwise error probability (PEP) of STC over this double correlated fading channels. Numerical results show that the simple expression can achieve the same result as the Monte-Carlo simulations. Therefore, our work can significantly reduce the complexity for evaluating PEP and provide valuable insights into the performance of the space-time codes in practice.
Postcarotid Endarterectomy Improvement in Cognition Is Associated with Resolution of Crossed Cerebellar Hypoperfusion and Increase in 123I-Iomazenil Uptake in the Cerebral Cortex: A SPECT Study

Background: The purpose of the present study was to investigate whether resolution of crossed cerebellar hypoperfusion (CCH) and increase in 123I-iomazenil (IMZ) uptake in the ipsilateral cerebral cortex after carotid endarterectomy (CEA) are associated with postoperative improvement of cognitive function. Methods: Neuropsychological testing was performed preoperatively and after 1 postoperative month in 79 patients undergoing CEA for ipsilateral internal carotid artery stenosis (≧70%). Brain perfusion single photon emission computed tomography (SPECT) using N-isopropyl-p-123I-iodoamphetamine and 123I-IMZ SPECT were also performed before and after surgery. Data were analyzed using a three-dimensional stereotaxic region of interest template. Results: Seven patients (9%) showed improvement in postoperative cognitive function. All the 7 patients exhibited both postoperative increase in blood flow in the ipsilateral cerebral cortex and resolution of CCH. Five patients (6%) had a postoperative hemispheric increase in 123I-IMZ uptake, and cognitive function improved in all of these 5 patients. Analysis by a receiver operating characteristic (ROC) curve was used to estimate the ability to discriminate between patients with and without postoperative cognitive improvement. The area under the ROC curve was significantly greater when analyzing the magnitude of postoperative resolution of CCH (0.991; 95% CI 0.984–1.001) or postoperative hemispheric increase in 123I-IMZ uptake (0.981; 95% CI 0.972–0.999) when compared with the magnitude of postoperative increase in cerebral blood flow (0.929; 95% CI 0.886–0.971) (p < 0.05). Conclusions: Resolution of CCH and increase in 123I-IMZ uptake in the ipsilateral cerebral cortex after CEA is associated with postoperative improvement in cognitive function. These results may indicate that cognitive impairment is related to a state of potentially reversible central benzodiazepine receptor downregulation in the cortex in response to transient ischemic attack or minor stroke.
CEO Trade Timing and Managerial Talent

This paper draws an analogy with the option backdating literature and shows that CEOs time their trades better than the average investor. This could imply that CEOs use their access to nonpublic information to enrich themselves at the expense of other shareholders. However, good trade timing can be a desirable CEO characteristic for investors if it is predominantly associated with the CEO’s ability to process information, resulting in good decision-making in running the firm. We find that CEOs who time their trades in their own firm’s stock better than their peers demonstrate superior performance in running their firms. Further, those CEOs who display better trade timing performance are employed by companies with better corporate governance, receive greater compensation, and head their respective firms for longer periods.