Miracle-dz/UniFAR-FTUs huggingface dataset:
Finding Meter in Music Using An Autocorrelation Phase Matrix and Shannon Entropy

This paper introduces a novel way to detect metrical structure in music. We introduce a way to compute autocorrelation such that the distribution of energy in phase space is preserved in a matrix. The resulting autocorrelation phase matrix is useful for several tasks involving metrical structure. First we can use the matrix to enhance standard autocorrelation by calculating the Shannon entropy at each lag. This approach yields improved results for autocorrelationbased tempo induction. Second, we can efficiently search the matrix for combinations of lags that suggest particular metrical hierarchies. This approach yields a good model for predicting the meter of a piece of music. Finally we can use the phase information in the matrix to align a candidate meter with music, making it possible to perform beat induction with an autocorrelation-based model. We present results for several meter prediction and tempo induction datasets, demonstrating that the approach is competitive with models designed specifically for these tasks. We also present preliminary beat induction results on a small set of artificial patterns.
The Relevance of Interictal Bold Changes to Lateralize Seizure Focus Using Simultaneous EEG-fMRI

Background and Purpose: The main challenge in assessing patients with epilepsy is the localization of neuronal networks involved in seizure generation and the lateralization of seizure onset. Electro encephalogram-functional magnetic resonance imaging (EEG-fMRI) is a noninvasive multimodal imaging technique for epilepsies where the data is acquired based on the interictal epileptiform discharges (IED). Since this is a new technique, the specificity for lateralizing epileptic focus is yet to be established. The peak blood oxygen level dependent (BOLD) signal in an interictal recording is known to correlate with seizure onset focus. In this study we are proposing a simple and practical method without the need for high end post processing techniques of fmri data. The peak BOLD signal derived from EEG-fMRI aids to lateralise seizure focus in a given cerebral lobe (region of interest, ROI). This is a very useful tool in a clinical setting on a given individual clinical case, when other modalities may be conflicting or inconclusive. Methods: We analyzed simultaneous EEG-fMRI of 10 different types of refractory epilepsy. The lateralization index was calculated from the statistical significant clusters obtained between the different ROI and results were validated with other modalities. Results: Lateralization of seizure focus corroborated well in temporal and extratemporal lobe epilepsy, reflex epilepsy and lesional epilepsy. The only drawback of EEG-fMRI in our study was if insignificant BOLD changes were associated with the given IED. Conclusions: EEG-fMRI can be helpful additional tool in the pre-surgical work-up of refractory epilepsy particularly when lateralization with other modalities is conflicting or inconclusive.
Giant Molecular Clouds in M64

We investigate the properties of giant molecular clouds (GMCs) in the molecule-rich galaxy M64 (NGC 4826). In M64, the mean surface density of molecular gas is 2N(H2) ~ 1022 cm-2 over a 2 kpc region, equal to the surface densities of individual GMCs in the Milky Way. We observed the J = 1 → 0 transitions of CO, 13CO, and HCN. The line ratio WCO/W13CO for 200 pc < Rgal < 800 pc is comparable to that found in the Milky Way and increases significantly outside this region, in part because of a large contribution to the CO emission from diffuse gas, which composes 25% of the molecular mass in the galaxy. We developed a modified CLUMPFIND algorithm to decompose the 13CO emission into 25 resolved clouds. The clouds have a luminosity-line width relationship L ∝ ΔV2. 2±0.4, substantially different from the Milky Way trend, L ∝ ΔV5. Similarly, the clouds have a line width-size relationship of ΔV ∝ R, compared to ΔV ∝ R in the Milky Way. Estimates of the kinetic and binding energies of the clouds suggest that the clouds are self-gravitating and significantly overpressured with respect to the remainder of the ISM in M64. The 13CO-to-H2 conversion factor is comparable to what is seen in the Galaxy. The M64 clouds have a mean surface density at least 2.5 times larger than observed in Local Group GMCs, and the surface density is not independent of mass as it is in the Local Group: ΣH2 ∝ M0.7±0.2. The clouds are correlated with the recombination emission from the galaxy, implying that they are star forming; the rate is comparable to that in other galaxies despite the increased densities of the clouds. The gas-to-dust ratio is similar to the Galactic value, but the low extinction in the visual band requires that the molecular gas be clumpy on small scales. We note that the internal pressures of clouds in several galaxies scale with the external pressure exerted on the clouds by the ambient ISM: Pint ∝ P. We attribute the differences between M64 molecular clouds and those in the Local Group to the high ambient pressures and large molecular gas content found in M64.
Second-line Treatment of Non-Small Cell Lung Cancer: Focus on the Clinical Development of Dacomitinib

Dacomitinib is a second-generation, irreversible, covalent pan-HER tyrosine-kinase inhibitor (TKI). It showed potent EGFR signaling inhibition in experimental models, including first-generation TKI-resistant non-small cell lung cancer (NSCLC) cell lines. This preclinical efficacy did not translate into clinically meaningful treatment benefits for advanced, pretreated, molecularly unselected NSCLC patients enrolled in two parallel phase III trials. Dacomitinib and erlotinib showed overlapping efficacy data in chemotherapy-pretreated EGFR wild-type (WT) patients in the ARCHER 1009 trial. Similarly, it failed to demonstrate any survival benefits as compared to placebo in EGFR WT subsets progressing on chemotherapy and at least one previous first-generation TKI (erlotinib or gefitinib) in the BR.26 trial. In the case of EGFR-mutant NSCLCs, a pooled analysis of the ARCHER 1009 and ARCHER 1028 trials comparing the efficacy of dacomitinib vs. erlotinib in chemotherapy-pretreated, EGFR TKI-naïve patients showed a trend to a longer progression-free survival (PFS) and overall survival in favor of dacomitinib that did not reach statistical significance, with a higher rate of treatment related adverse events (mainly skin rash, paronychia, and gastrointestinal toxicities). On the other hand, the clinical activity in patients with EGFR-mutant NSCLCs with acquired TKI resistance that were included in phase II/III trials was equally poor (response rate <10%; PFS 3–4 months). Therefore, with the results of the ARCHER 1050 trial (NCT01774721) still pending, the current clinical development of dacomitinib is largely focused on EGFR-mutant, TKI-naïve patients. Here, we review the most relevant clinical data of dacomitinib in advanced NSCLC. We discuss the potential role of dacomitinib in pretreated EGFR WT and EGFR-mutant (TKI-naïve and TKI-resistant) patients. Finally, we briefly comment the available clinical data of dacomitinib in HER2-mutant NSCLC patients.
Timely data delivery in a realistic bus network

WiFi-enabled buses and stops may form the backbone of a metropolitan delay tolerant network, that exploits nearby communications, temporary storage at stops, and predictable bus mobility to deliver non-real time information. This paper studies the problem of how to route data from its source to its destination in order to maximize the delivery probability by a given deadline. We assume to know the bus schedule, but we take into account that randomness, due to road traffic conditions or passengers boarding and alighting, affects bus mobility. We propose a simple stochastic model for bus arrivals at stops, supported by a study of real-life traces collected in a large urban network. A succinct graph representation of this model allows us to devise an optimal (under our model) single-copy routing algorithm and then extend it to cases where several copies of the same data are permitted. Through an extensive simulation study, we compare the optimal routing algorithm with three other approaches: minimizing the expected traversal time over our graph, minimizing the number of hops a packet can travel, and a recently-proposed heuristic based on bus frequencies. Our optimal algorithm outperforms all of them, but most of the times it essentially reduces to minimizing the expected traversal time. For values of deadlines close to the expected delivery time, the multi-copy extension requires only 10 copies to reach almost the performance of the costly flooding approach.
Seroprevalence of Human Fascioliasis in Meshkin-Shahr District, Ardabil Province, Northwestern Iran in 2012

Background The aim of this study was to conduct a seroprevalence survey in Meshkin-Shahr, Ardabil Province, north western Iran to detect the rate of human fascioliasis in the city and nearby villages. Literature shows that no such study has been conducted so far. Methods Overall, 458 serum samples were collected by randomized cluster sampling method from 153 males and 305 females referred to different health centers of the region after recalling by staff in those centers in 2012. All cases filled out a questionnaire and an informed consent. Sera were analyzed using indirect-ELISA test. Ten μg /ml antigens (Liver Fluke Homogenate), serum dilutions of 1:500 and conjugate anti-human coombs with 1:10000 dilutions were utilized to perform the test. Data analysis was conducted using SPSS software ver. 18. Results Nine cases (1.96%) were positive for fascioliasis by ELISA test. The seroprevalence of fascioliasis among females was 1.63% and 2.6% in males. There was no significant difference as regards age groups, sex, job, residency, literacy and consuming row vegetable. According to job, unemployment subjects had the highest rate of infection as 5.9%. The seroprevalence of infection was 1.52% in illiterate people. As for residency, urban life showed no significant difference with rural life (2.4% vs 1.42). Age group of 40-49 yr old, with 3.3% seropositivity had the highest rate. Conclusion Obtained seroprevalence of fascioliasis shows immediate attention of health authorities to the diseases in the area. The adjacent of Ardabil Province to endemic areas of fasciolosis accentuates this attention.
An Investigation of Factors Influencing Healthcare Workers' Use and Acceptance of E-Learning in Post-School Healthcare Education

The objective of the study presented here was to perform an empirical investigation on factors affecting healthcare workers acceptance and utilisation of e-learning in post-school healthcare education. E-learning benefits are realised when key features of e-learning are not only applied, but deemed useful, compatible with the learning process and supportive in order to reach the overall goals of the learning process. We conducted a survey of 14 state-enrolled nurses and skilled-workers within the field of healthcare in Norway. The results show that perceived compatibility and subjective norm explain system usage of the e-learning tool amongst the students. We found that the fact that the students considered the e-learning to be compatible with the course in question had a positive effect on e-learning tool usage. We also found support for factors such as facilitating conditions and ease of use leads to the e-learning tool being considered useful.
Consumer Preferences for Local Food: Testing an Extended Norm Taxonomy

Consumer attitudes toward consuming and buying locally produced food are well studied. By contrast, the topic of consumer preferences for local food, with a special emphasis on the role of norms, still lacks empirical evidence. To study the influence of norms and morals on the intention to buy local food products, a quantitative study (N = 327) focusing on external social and internalized moral norms was conducted using the constructs of the theory of planned behavior in combination with an extended norm taxonomy and the perceived consumer effectiveness measure. The norm constructs consisted of two different personal norms, integrated and introjected, and two social norms, descriptive and injunctive. In a factor analysis, two factors for social norms but only one for personal norms were obtained. Multiple regressions explained 50 percent of the variance in intentions and 29 percent of the variance in past behavior. Norm constructs were proven important in the model, as personal norms had the largest effect among all constructs on intentions, and descriptive norms strongly influenced past behavior. An additional mediation analysis showed that personal norms were internalized social injunctive norms and that intentions mediated the relationship between all constructs. The implications of the findings and recommendations for future research are given accordingly.
Understanding Perception and Factors Influencing Private Voluntary Health Insurance Policy Subscription in the Lucknow Region

BACKGROUND Health insurance has been acknowledged by researchers as a valuable tool in health financing. In spite of its significance, a subscription paralysis has been observed in India for this product. People who can afford health insurance are also found to be either ignorant or aversive towards it. This study is designed to investigate into the socio-economic factors, individuals' health insurance product perception and individuals' personality traits for unbundling the paradox which inhibits people from subscribing to health insurance plans. METHODS This survey was conducted in the region of Lucknow. An online questionnaire was sent to sampled respondents. Response evinced by 263 respondents was formed as a part of study for the further data analysis. For assessing the relationships between variables T-test and F-test were applied as a part of quantitative measuring tool. Finally, logistic regression technique was used to estimate the factors that influence respondents' decision to purchase health insurance. RESULTS Age, dependent family members, medical expenditure, health status and individual's product perception were found to be significantly associated with health insurance subscription in the region. Personality traits have also showed a positive relationship with respondent's insurance status. CONCLUSION We found in our study that socio-economic factors, individuals' product perception and personality traits induces health insurance policy subscription in the region.
Statistics of Wildfires and Prescribed Burning in Florida and Volusia County , 1994 – 2001

We estimate a wildfire risk model with a new measure of wildfire output, intensity-weighted risk and use it in Monte Carlo simulations to estimate welfare changes from alternative prescribed burning policies. Using Volusia County, Florida as a case study, an annual prescribed burning rate of 13% of all forest lands maximizes net welfare; ignoring the effects on wildfire intensity may underestimate optimal rates of prescribed burning. Our estimated supply function for prescribed fire services is inelastic, suggesting that increasing contract prescribed fire services on public lands may produce rapidly escalating costs for private landowners and unintended distributional and “leakage” effects.
Counteracting innovative constraints: insights from four case studies of African knowledge-intensive metalworking and automotive clusters – ‘the Akimacs’

We respond to repeated calls over the years to further develop cluster theory specifically in an African context. Our contribution is to construct a framework which integrates theories focusing on path dependency, transaction cost economics (efficiency and systemic interdependency models) and regional development (lock in models). Our focus is on the innovativeness of African clusters and constraints on such innovation. Thus, drawing on cluster literature on constraints to innovation coupled with insights from current empirical work within African automotive clusters, we examine the challenges of counteracting the multilevel constraints which hinder innovation in African clusters. We develop a model for counteracting cluster constraints focusing on the impact of variations in innovative frequency, diffusion of innovations, innovative speed and protection of innovation. The model emphasizes the opportunities that arise when new entrant and incumbent firms interact to neutralize constraints at transactional, social, ecological and knowledge levels.
The OutSMARTers Program for Children With ADHD

Objective: This study examined the effects of the OutSMARTers program on social skills, self-regulation, and executive functions compared with a Waitlist group and a parent training program. Method: Participants were 41 children with ADHD, aged 8 to 10 years. All groups were assessed with behavioral checklists and neuropsychological measures at baseline and post-treatment. The two treatment groups were reassessed with behavioral checklists after 3 months. Results: Findings revealed decreased ADHD symptoms, improved social skills, and better emotion regulation at post-treatment for the OutSMARTers compared with the Waitlist group on subjective measures. No differences were found on objective tasks or between the OutSMARTers and Parent groups after treatment but both treatment groups showed some improvement. In addition, most of the post-treatment changes were maintained for both groups 3 months later. Conclusion: The results indicate that the OutSMARTers program seems to benefit children with ADHD, but further research and treatment development is needed.
Predictors of Traumatic Brain Injury Caregiver Adjustment and the Role of Irrational Beliefs: Towards a Cognitive Model

The provision of care to a relative with a traumatic brain injury (TBI) has been shown to be distressing for the primary caregiver (usually the spouse or parent). Much research has examined factors which affect caregiver adjustment to brain injury. However, the impact of caregiver cognitions, in particular irrational beliefs, as a potential factor in poor adjustment, has received little if any attention in the TBI caregiving literature. This article provides a review of predictors of TBI caregiver adjustment and a discussion of the cognitive model and the impact of irrational beliefs on adjustment. As caregivers are central to the rehabilitation process, there is a need for research into irrational beliefs and TBI caregivers as well as the development of interventions which focus specifically on the caregiver's beliefs and perceptions of events.
The altered balance between sympathetic nervous system and nitric oxide in salt hypertensive Dahl rats: ontogenetic and F2 hybrid studies

Objective We have demonstrated earlier that the nitric oxide (NO) system is not able to counterbalance effectively the hyperactivity of the sympathetic nervous system (SNS) in salt hypertension of young Dahl rats in which augmented superoxide anion formation lowers NO bioavailability. The aim of the present study was to determine whether SNS hyperactivity and/or relative NO deficiency are also present in salt hypertension elicited in adult Dahl rats, and whether they are associated with blood pressure (BP) in the F2 population of Dahl rats. Design and methods The contribution of major vasoactive systems [renin–angiotensin system (RAS), SNS and NO] and superoxide anions to BP maintenance was studied in SS/Jr rats in which salt hypertension was induced either in adulthood or in youth (8% NaCl diet from the age of 12 or 4 weeks). The contribution of particular vasoactive systems was also investigated in 122 young salt-loaded F2 hybrids [derived from salt-sensitive (SS/Jr) and salt-resistant (SR/Jr) Dahl rats] which were fed a high-salt diet (8% NaCl) for 6 weeks after weaning. Mean arterial pressure (MAP) was measured in conscious animals subjected to acute consecutive blockade of RAS (captopril 10 mg/kg i.v.), SNS (pentolinium 5 mg/kg i.v.) and NO synthase (l-NAME 30 mg/kg i.v.). Results Dahl rats with salt hypertension induced in adulthood were also characterized by enhanced pentolinium-induced BP fall (ΔMAPpento), but their residual BP (recorded after the blockade of both RAS and SNS) was unaltered, in contrast to its elevation seen in young salt-hypertensive rats. The BP rise after NO synthase inhibition by l-NAME (ΔMAPL−NAME), which was substantially greater in adult than in young hypertensive rats, was not enhanced by superoxide scavenging with tempol in adult hypertensive animals, in which this drug elicited a moderate BP reduction only. Basal MAP of young salt-loaded F2 hybrids was positively associated not only with ΔMAPpento (P < 0.0001) and residual BP (P < 0.001) but also with ΔMAPL−NAME (P < 0.001). The slope of the relationship between basal BP and pentolinium-induced BP changes was steeper than that between basal BP and BP changes elicited by l-NAME. The positive correlation of basal BP with ΔMAPpento/ΔMAPL−NAME ratio (P < 0.01) indicates that an altered balance between sympathetic vasoconstriction and NO-dependent vasodilation was associated with high blood pressure, even in the F2 population of Dahl rats. Conclusions A comparison of young and adult salt-hypertensive Dahl rats stressed the importance of increased residual BP and relative NO deficiency for the severity of hypertension, because these two alterations were absent in a less-pronounced form of salt hypertension elicited in adulthood. The findings obtained in our young salt-loaded F2 population also confirm the major importance of both sympathetic hyperactivity and relative NO deficiency for the maintenance of salt hypertension in Dahl rats.
Functional Connectivity Changes and Executive and Social Problems in Neurofibromatosis Type I

Neurofibromatosis type 1 (NF1) has regularly been associated with cognitive, social, and behavioral problems. The fact that many different cognitive and behavioral impairments have been observed in NF1 suggests that networks of brain regions are involved rather than specific brain regions. Here, we examined whether functional connectivity was different in NF1 and, if so, whether associations were present with cognitive, social, and behavioral outcomes. Fourteen NF1 patients (8 male, age: M=12.49, SD=2.65) and 30 healthy controls (HC; 23 male, age: M=12.30, SD=2.94; p=0.835) were included. Functional connectivity was assessed using functional resting-state scanning. We analyzed brain regions that have been associated with cognitive and social functions: the bilateral ventral anterior cingulate cortex (vACC), the bilateral amygdala, the bilateral orbitofrontal cortex (OFC), and the posterior cingulate cortex (PCC). For NF1 patients, connection strengths between brain regions showing HC-NF1 differences were correlated with parent reports of cognitive, social, and behavioral functioning. Compared to HC, patients showed differences in functional connectivity between the left vACC and the frontal cortex, insula, and subcortical areas (caudate, putamen), between the left amygdala and the frontal cortex, insula, supramarginal gyrus, and PCC/precuneus, and between the left OFC and frontal and subcortical areas (caudate, pallidum). In patients, indications were found for associations between increased frontofrontal and temporofrontal functional connectivity with cognitive, social, and behavioral deficits (r-range=0.536-0.851). NF1 patients showed differences in functional connectivity between areas associated with cognitive and social functioning when compared to controls. This, plus the fact that connectivity strengths in these networks were associated with worse cognitive, social, and behavioral outcomes, suggests a neuropathological basis for the widespread deficits observed in NF1.