Miracle-dz/UniFAR-FTUs huggingface dataset:
Examining the Psychometric Properties of the Mayer-Salovey Caruso Emotional Intelligence Test Findings From an Eastern European Culture

Based on four samples and more than 2,000 participants, the authors examined the structural equivalence, discriminant validity as well as criterion and incremental validity of the Romanian version of the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT), an ability-based measure of emotional intelligence. Results suggest that the Romanian version of the MSCEIT has a very good structural equivalence and good discriminant validity compared with measures of cognitive ability, personality (Big Five), and empathy. Also, the Romanian MSCEIT has incremental validity over personality when predicting job performance. Based on these results, the authors encourage usage of the MSCEIT as a sound measure of emotional intelligence.
Superconducting Tunable Microstrip Gap Resonators Using Low Stress RF MEMS Fabrication Process

A Nb superconducting tunable microstrip gap resonator has been designed and fabricated with low stress Au RF MEMS dc-contact switches. The resonator can be tuned in four states from 12–15 GHz. Simulations show that the resonator <inline-formula> <tex-math notation="LaTeX">$Q$ </tex-math></inline-formula> is highly sensitive to the contact resistance of the MEMS when the switches are actuated. Measurements confirm that the <inline-formula> <tex-math notation="LaTeX">$Q$ </tex-math></inline-formula> degrades from 200 to 50. RF performance of the resonator is investigated at cryogenic (4 K) temperatures while the Nb is superconducting.
EMBEDDING VERSUS IMMERSION IN GENERAL RELATIVITY

We briefly discuss the concepts of immersion and embedding of space-times in higher-dimensional spaces. We revisit the classical work by Kasner in which he constructs a model of immersion of the Schwarzschild exterior solution into a six-dimensional pseudo-Euclidean manifold. We show that, from a physical point of view, this model is not entirely satisfactory, since the causal structure of the immersed space-time is not preserved by the immersion.
THE MOMENT FORMULA FOR IMPLIED VOLATILITY AT EXTREME STRIKES

Consider options on a nonnegative underlying random variable with arbitrary distribution. In the absence of arbitrage, we show that at any maturity T, the large‐strike tail of the Black‐Scholes implied volatility skew is bounded by the square root of 2|x|/T, where x is log‐moneyness. The smallest coefficient that can replace the 2 depends only on the number of finite moments in the underlying distribution. We prove the moment formula, which expresses explicitly this model‐independent relationship. We prove also the reciprocal moment formula for the small‐strike tail, and we exhibit the symmetry between the formulas. The moment formula, which evaluates readily in many cases of practical interest, has applications to skew extrapolation and model calibration.
Modeling News Trust: A Defeasible Logic Programming Approach

Deciding whether to trust an information sources on the Web has been recognized as one of the main problems in today's Information Society. In particular, assessing the credibility of news is a major research challenge. Typically, criteria such as freshness, relevance and viewer profile have been used by news services to rank news. However, these services do not deal with credibility from a qualitative perspective, and do not provide mechanisms to cope with controversial news reports. To fill this gap, this paper proposes a novel framework that brings the notions of trust and pluralism into play. In our proposal, we integrate dialectical reasoning into a news recommender system. The system is based on a set of basic principles characterizing the nature of trust. We use Defeasible Logic Programming (DeLP), a general-purpose defeasible argumentation formalism based on logic programming, to model the notion of trust. Our approach helps identify antagonism among sources of news and facilitates the analysis of opposing positions.
Mental disorders and coronary heart disease risk: could the evidence elude us while we sleep?

Although provocative findings from large epidemiological studies suggest that mental disorders and elevated psychiatric symptoms are independent risk factors for the incidence and recurrence of coronary heart disease (CHD), other studies do not replicate this somewhat startling finding.1–3 This research has been characterized by incomplete adjustment for confounders, wide variation in the assessment of mental disorders, and inconsistent inclusion of multiple mental disorders and overlapping symptom clusters. For incident CHD, the most convincing evidence comes from prospective studies linking a diagnosis of depression or the presence of elevated depressive symptoms with later occult CHD.3 Although there have been tantalizing glimpses of associations of other types of mental disorders, such as alcohol/substance use disorder, anxiety, and schizophrenia, with incident CHD, there are a paucity of studies examining this risk. Indeed, we conducted a preliminary search of the prospective epidemiological literature on the association of mental disorders with incident CHD and found that, of 123 results retrieved, approximately 60% focused uniquely on depression, 10% on alcohol/substance use disorder, 11% on anxiety or posttraumatic stress disorder, and 14% on psychosis or schizophrenia. Thus, outstanding questions about the nature and consistency of the association of specific types of mental disorders—other than depression—and incident CHD remain. Article see p 186 In this issue of Circulation , Gale et al4 provide results from a cohort of >1 million adult men born in Sweden from 1950 to 1976 who were followed for 22 years for incident CHD. Importantly, all were systematically assessed at conscription (approximately 18 years) for multiple psychiatric disorders by trained psychiatrists, including alcohol-related disorders, other nonaffective psychoses, schizophrenia, bipolar disorder, depressive disorders, neurotic disorders, adjustment disorders, personality disorders, and other substance use disorders. This is one of the first and largest population-based studies with such a comprehensive assessment of …
Systems and Development

Contents: S. Oyama, Ontogeny and the Central Dogma: Do We Need the Concept of Genetic Programming in Order to Have Evolutionary Perspective? J.C. Fentress, Developmental Roots of Behavioral Order: Systemic Approaches to the Examination of Core Developmental Issues E. Thelen, Self-Organization in Developmental Processes: Can Systems Approaches Work? J. Belsky, M. Rovine, M. Fish, The Developing Family System G.R. Patterson, L. Bank, Some Amplifying Mechanisms for Pathologic Processes in Families F.D. Horowitz, Commentary: Processes and Systems A.J. Sameroff, Commentary: General Systems and the Regulation of Development.
Hyperspectral Signal Subspace Identification in the Presence of Rare Signal Components

In this paper, we investigate the problem of signal subspace identification (SSI) and dimensionality reduction in hyperspectral images. We consider two recently proposed SSI algorithms: the Maximum Orthogonal Complement Analysis (MOCA) algorithm and the Robust Signal Subspace Estimator (RSSE) algorithm. Such algorithms are robust to the presence of rare signal components and are particularly effective in reducing the number of features in the preprocessing step for small target detection applications. In this paper, MOCA and RSSE are briefly revisited and integrated in a common theoretical framework in order to better highlight and understand their peculiarities. Furthermore, their performances are compared in terms of computational complexity and of their ability to address both the abundant and the rare signal components. A modified version of the MOCA is also introduced, which is computationally more efficient than the original algorithm. Results on simulated data are discussed, and a case study is presented concerning real Airborne Visible/Infrared Imaging Spectrometer data.
5-Hydroxytryptamine-immunoreactive neurons and nerve fibers in the superior cervical ganglion of the rat.

Indirect immunofluorescence method was used to localize 5-hydroxytryptamine-immunoreactive structures in the superior cervical ganglion of adult rats. In the ganglia of normal rats, 5-hydroxytryptamine immunoreactivity was localized in the small intensely fluorescent cells, but not in principal nerve cells. In the superior cervical ganglion of rats, pretreated with nialamide, a monoamine oxidase inhibitor, 150 mg/kg i.p., and the 5-hydroxytryptamine precursor, L-tryptophan, 45 mg/kg i.p., a large number of 5-hydroxytryptamine-immunoreactive principal nerve cells and small intensely fluorescent cells were detected. The immunoreactive principal nerve cells had long processes, and 5-hydroxytryptamine-immunoreactive nerve fibers were observed traversing the ganglion. In ganglia of rats pretreated with colchicine, occasional 5-hydroxytryptamine-immunoreactive principal nerve cells and several small intensely fluorescent cells were detected. Ligation of the main postganglionic nerve trunks of the superior cervical ganglion of normal rats resulted in the appearance of several 5-hydroxytryptamine-immunoreactive principal nerve cells and nerve fibers in the ganglion. To study whether the 5-hydroxytryptamine immunoreactivity in the superior cervical ganglion represented uptake or synthesis of 5-hydroxytryptamine, rats were injected with a specific 5-hydroxytryptamine uptake inhibitor, fluoxetine, 10 mg/kg i.p. twice a day for 5 days, and then they were treated with nialamide and L-tryptophan, as described above. In the superior cervical ganglion of fluoxetine-treated rats, a few 5-hydroxytryptamine-immunoreactive principal nerve and small intensely fluorescent cells, as well as some nerve fibers, were detected. (ABSTRACT TRUNCATED AT 250 WORDS)
Gogi aphasia: The early description of semantic dementia in Japan

Thirty years preceding the first detailed reports of semantic dementia (SD) in western countries, Imura described a unique aphasic syndrome exhibited in Japanese patients, which he called gogi (literally, “word-meaning”) aphasia. Gogi aphasia directly corresponds to the pattern of language impairments described in SD, with the additional, language-specific deficit of kanji processing. Given the importance and apparently early appearance of this symptom in gogi aphasia/SD, in the present study we examined kanji and kana processing in patients with very mild semantic dementia. Fifteen mild or very mild gogi aphasia/SD patients from the Dementia and Higher Brain Function Clinic participated in this study. Each participant’s language function was evaluated using the Japanese Standard Language Test for Aphasia (SLTA), comprising 26 subtests. In all cases and across all tests, the SD patients’ performance was considerable better with kana than kanji processing. This pattern was consistent across all patients and was observed even in very mild SD patients. These results are consistent with the hypothesis that the early discovery of gogi aphasia/SD in Japan depended, at least in part, on the demanding nature of the Japanese written language. We wish to introduce Western researchers to the fundamental contribution of Tsunero Imura, a Japanese neuropsychiatrist, who discovered gogi aphasia and was one of the first to describe the core symptoms of SD.
Query Technologies and Applications for Program Comprehension (QTAPC 2008)

Industrial software systems are large and complex, both in terms of the software entities and their relationships. Consequently, understanding how a software system works requires the ability to pose queries over the design-level entities of the system. Traditionally, this task has been supported by simple tools (e.g., grep) combined with the programmer's intuition and experience. Recently, however, specialized code query technologies have matured to the point where they can be used in industrial situations, providing more intelligent, timely, and efficient responses to developer queries. This working session aims to explore the state of the art in code query technologies, and discover new ways in which these technologies may be useful in program comprehension. The session brings together researchers and practitioners. We survey existing techniques and applications, trying to understand the strengths and weaknesses of the various approaches, and sketch out new frontiers that hold promise.
A Fuzzy Neural Networks based EZW Image Compression System

The transport of images across communication paths is an expensive process. The limitation in allocated bandwidth leads to slower communication. To exchange the rate of transmission in the limited bandwidth the Image data must be compressed before transmission. JPEG2000 image compression system follows huffman coding for image compression. Embedded zero tree wavelet (EZW) coding exploits the multi-resolution properties of the wavelet transform when compared to existing wavelet transforms. Artificial Neural Network has been applied to many problems in image processing and has demonstrated their superiority over classical methods when dealing with noisy or incomplete data for image compression applications. A fuzzy optimization design based on neural networks is presented as a new method of image processing. The combination system adopts a new fuzzy neuron network (FNN) which can appropriately adjust input and output values, and increase robustness, stability and working speed of the network by achieving high compression ratio.
Using Pedometers to Promote Physical Activity in Physical Education

Physical activity is a major health issue and is one of ten Leading Health Indicators (LHIs) identified by Healthy People 2010 (U.S. Department of Health and Human Services [USDHHS], 2000). In a recent review, Booth and Chakravarthy (2002) reported that sedentary living caused 23 health problems (cardiovascular disease, obesity, cancers, etc.) and worsened nine different conditions (chronic back pain, stroke, etc.). The benefits of regular physical activity, for both adults and youths are well documented (USDHHS, 1996). Based on these benefits, international and national recommendations endorsing regular moderate-to-vigorous physical activity for children and adolescents have been published (Cavill, Biddle, & Sallis, 2001; Corbin & Pangrazi, 1998). Unfortunately, many adolescents are not meeting recommended guidelines, thus leading the government to push for more physical activity promotion programs for youths (USDHHS, 2000). Physical activity is simply an umbrella term that describes all types of activities. It is defined as a "bodily movement that is produced by the contraction of skeletal muscle and that substantially increases energy expenditure" (Corbin, Pangrazi, & Franks, 2000). In more simple terms, physical activity is movement. Physical activity, "a process," is different from physical fitness, "a product," which is defined as "a set of attributes that people have or achieve relating to their ability to perform physical activity" (USDHHS, 1996). Physical activity can be measured
Inequalities in access to cardiac rehabilitation after an acute coronary syndrome: the EPiHeart cohort

Objectives To estimate cardiac rehabilitation (CR) referral and participation rates among patients with acute coronary syndrome (ACS) and to identify their determinants, in two Portuguese regions. Design Prospective cohort study. Setting Patients consecutively admitted to the cardiology department of two hospitals, one in the district of Porto and one in the north-east region (NER) of Portugal, were enrolled in the EPIHeart cohort and then followed up for 6 months. Participants Between August 2013 and December 2014, 939 patients were included in the cohort, and 853 were re-evaluated at 6-month follow-up. Outcome measures Referral rate was defined as the proportion of eligible patients who were referred to a CR programme, whereas participation rate was defined as the proportion of eligible patients who completed a CR programme, as was recommended by their physicians. Results Patients referred were 32.3% and 10.7% of those eligible in Porto and NER, respectively. In both regions, referral to CR decreased with age and with longer travel times to CR centres and increased with education or social class. At follow-up, 128 patients from Porto (26.2% of those eligible and 81.0% of those referred) and 26 from NER (7.1% of those eligible and 66.7% of those referred) reported actually participating in a CR programme. In Porto, the main barriers to participation were the long time until a programme was available and lack of perceived benefit. Patients in NER identified distance to CR and costs as the main barriers. Conclusions CR remains clearly underused in Portugal, with major inequalities in access between regions. Achieving equitable and greater use of CR requires a multilevel approach addressing barriers related to healthcare system, providers and patients in order to improve provision, referral and participation.
Estimating Influenza Vaccine Efficacy From Challenge and Community-based Study Data

In this paper, the authors provide estimates of 4 measures of vaccine efficacy for live, attenuated and inactivated influenza vaccine based on secondary analysis of 5 experimental influenza challenge studies in seronegative adults and community-based vaccine trials. The 4 vaccine efficacy measures are for susceptibility (VES), symptomatic illness given infection (VEP), infection and illness (VESP), and infectiousness (VEI). The authors also propose a combined (VEC) measure of the reduction in transmission in the entire population based on all of the above efficacy measures. Live influenza vaccine and inactivated vaccine provided similar protection against laboratory-confirmed infection (for live vaccine: VES = 41%, 95% confidence interval (CI): 15, 66; for inactivated vaccine: VES = 43%, 95% CI: 8, 79). Live vaccine had a higher efficacy for illness given infection (VEP = 67%, 95% CI: 24, 100) than inactivated vaccine (VEP = 29%, 95% CI: −19, 76), although the difference was not statistically significant. VESP for the live vaccine was higher than for the inactivated vaccine. VEI estimates were particularly low for these influenza vaccines. VESP and VEC can remain high for both vaccines, even when VEI is relatively low, as long as the other 2 measures of vaccine efficacy are relatively high.
Fusing heterogeneous features for the image-guided diagnosis of intraductal breast lesions

In the analysis of histopathological images, both holistic (e.g., architecture features) and local appearance features demonstrate excellent performance, while their accuracy may vary dramatically among different inputs. This motivates us to investigate how to fuse results from these features to further enhance the accuracy. Particularly, we employ content-based image retrieval approaches to discover morphologically relevant images for image-guided diagnosis, using both holistic and local features. However, because of the dramatically different characteristics and representations of these heterogenous features, their resulting ranks may have no intersection among the top candidates, causing difficulties for traditional fusion methods. In this paper, we employ graph-based query-specific fusion approach where multiple retrieval ranks are integrated and reordered by conducting link analysis on a fused graph. The proposed method is capable of adaptively combining the strengths of local or holistic features for different queries, and does not need any supervision. We evaluate our method on a challenging clinical problem, i.e., histopathological image-guided diagnosis of intraductal breast lesions, and it achieves 91.67% classification accuracy on 120 breast tissue images from 40 patients.
Mapping Local Blood Flow of Human Brain by CT Scanning During Stable Xenon Inhalation

Non-invasive methods are described for estimating local cerebral blood flows (LCBF) and partition coefficients (Lλ) during inhalation of 35% stable xenon gas (Xea) in oxygen during CT scanning. After denitrogenatioD by 100% oxygen breathing, 35% Xe5 is breathed for 7-8 minutes to minimize subanestbetic effects. Mean changes in brain Hounsfleld units extrapolated to 15 minutes were 7.7 units for white matter and S3 units for gray matter. They were measured from volumes 80 cubic mm (10 mm2 area X 8 mm), or larger with an EMI 1010 scanner at 1 minute intervals. These data were used for computing LCBFs and Lλs. Irradiation measured at the center of brain slices was 1 rad per minute. To calculate Lλs about 6 exposures are necessary, thereafter, each 1 minute scan provides LCBF measurements for 2 adjacent 8 mm slices. ReproducibUity for LCBF was r = 0.85 (P < 0.001). Mean Lλs were 0.86 ± 0.08 for gray and 134 ± 0.10 for white matter. Normative mean flows (mls/100 g brain/min) were: basal ganglia = 79.6 ± 93, cortex = 82.3 ± 8.5, white matter = 29.2 ± 5.9, mldbrain tegmentum = 943 ± 14.8, cerebellar cortex = 80.1 ± 10.9, dorsal poos = 89.3 ± 4.7, brachium ponds = 35.0 ± 4.2. Subject finger exercises produced increases of LCBF in contralateral pre-central and post-central gyri. Eye closure decreased flow values limited to the visual system. Gray matter flow values diffusely decreased in non-REM sleep but increased above normal in REM sleep. Cerebral infarction and hemorrhage resulted hi zones of zero flow with borders having reduced Xs and low flows attributed to edema. Stroke, Vol 12, No 4, 1981
Allicin protects against H2O2-induced apoptosis of PC12 cells via the mitochondrial pathway

Allicin is a major bioactive ingredient of garlic and has a broad range of biological activities. Allicin has been reported to protect against cell apoptosis induced by H2O2 in human umbilical vein endothelial cells. The present study evaluated the neuroprotective effect of allicin on the H2O2-induced apoptosis of rat pheochromocytoma PC12 cells in vitro and explored the underlying mechanism involved. PC12 cells were incubated with increasing concentrations of allicin and the toxic effect of allicin was measured by MTT assay. The cells were pretreated for 24 h with low dose (L-), medium dose (M-) and high dose (H-) of allicin, followed by exposure to 200 µM H2O2 for 2 h, and the cell viability was examined by MTT assay. In addition, cell apoptosis rate was analyzed by Annexin V-FITC/PI assay, while intracellular reactive oxygen species (ROS) and mitochondrial transmembrane potential (∆ψm) were measured by flow cytometry. Bcl-2, Bax, cleaved-caspase-3 and cytochrome c (Cyt C) in the mitochondria were also examined by western blotting. The results demonstrated that 0.01 µg/ml (L-allicin), 0.1 µg/ml (M-allicin) and 1 µg/ml (H-allicin) were non-toxic doses of allicin. Furthermore, H2O2 reduced cell viability, promoted cell apoptosis, induced ROS production and decreased ∆ψm. However, allicin treatment reversed the effect of H2O2 in a dose-dependent manner. It was also observed that H2O2 exposure significantly decreased Bcl-2 and mitochondrial Cyt C, while it increased Bax and cleaved-caspase-3, which were attenuated by allicin pretreatment. The results revealed that allicin protected PC12 cells from H2O2-induced cell apoptosis via the mitochondrial pathway, suggesting the potential neuroprotective effect of allicin against neurological diseases.
The natural history of schizophrenia in the long term.

It is well known that in some small European countries there exist especially favourable conditions for certain types of research which elsewhere meet enormous difficulties. This is exemplified in Denmark and other Scandinavian countries by the famous studies on the influence of genetic and environmental factors in schizophrenia, which were made possible by the exceptional availability of well organized national registers on twins, adoptees and psychotics.