Miracle-dz/UniFAR-FTUs huggingface dataset:
The Foundations of 3 D Analysis : 3 D Model of the Avada Kedavra Curse in Potteriana Arsentiy

This article develops 3D analyss on the example of the Avada Kedavra curse which is a central linguistic means of the violent death leitmotif in Potteriana. The author considers three dimensions of the analyzed object: semantics, syntactics and pragmatics. The 3D model of the curse is based upon text analysis. Moreover, the author introduced the cognitive structure of the violent death leitmotif being a form and a shape for the curse realization.
The Influence of Teachers’ P erceived Leadership Styles and Students’ Learning Approaches on Academic Achievement

The aim of the present study was to analyze the influence of teachers’ perceived leadership styles (transformational/ transactional) and students’ learning approaches (deep/ surface) on academic achievement in Romanian language and Math, measured by both final grades and baccalaureate simulation grades. 243 students in 11th and 12th grade participated in our study. Results showed that, regardless the study field, academic achievement was positively influenced by the deep learning approach, and negatively by the surface learning approach. Our participants perceived their teachers being m ore transactional than transformational in their leadership style. Results also showed that the relation between the teachers’ perceived leadership styles and their students’ achievement depends on the study field , the correlation being significant and positive only in Math. Regression analyses revealed that the predictive power of the two leadership styles depends on how students’ academic performance is measured. The implications and limitation s of the present study are discussed.
Gamblin Hemagglutinin The Structure and Receptor Binding Properties of the 1918 Influenza

clicking here. colleagues, clients, or customers by , you can order high-quality copies for your If you wish to distribute this article to others here. following the guidelines can be obtained by Permission to republish or repurpose articles or portions of articles ): June 15, 2012 www.sciencemag. org (this information is current as of The following resources related to this article are available online at
The proton momentum distribution in water and ice

Deep Inelastic Neutron Scattering (Neutron Compton Scattering), is used to measure the momentum distribution of the protons in water from temperatures slightly below freezing to the supercritical phase. The momentum distribution is determined almost entirely by quantum localization effects, and hence is a sensitive probe of the local environment of the proton. The distribution shows dramatic changes as the hydrogen bond network becomes more disordered. Within a single particle interpretation, the proton moves from an essentially harmonic well in ice to a slightly anharmonic well in room temperature water, to a deeply anharmonic potential in the supercritical phase that is best described by a double well potential with a separation of the wells along the bond axis of about 0.3 Angstrom. Confining the supercritical water in the interstices of a C60 powder enhances this anharmonicity and enhances the localization of the protons. The changes in the distribution are consistent with gas phase formation at the hydrophobic boundaries and inconsistent with the formation of ice there.
Detecting the trend component for selected network parameters

The goal of the project is the analysis of a communication network based on real data obtained by Network Management Control supervisory center and set up a useful tool for effective solving of network modernization problems. The data has been collected continuously since 2005. With regard to the nature and amount of the data, data mining methods were selected for the purpose of analyses and experiments. The aim of the paper is to identify the role of long-term trends in the monitored network parameters. Knowledge of the trend will allow us more precise predictions of the future network traffic and also help us better determine the dimensioning of the network to both the future projected growth in volume of transmitted information, and in time the increased of demands in the network, caused by irregular activities of network users Key-Words: communication network, data mining, data preprocessing, behavior patterns, trends
Analysis of 32 Blood-Based Protein Biomarkers for their Potential to Diagnose Colorectal Cancer

Colorectal cancer (CRC) is largely viewed as a preventable disease but the prevalence is increasing worldwide. Although many faecal and blood-based biomarkers have been proposed as potential diagnostic markers, none have been successful in large cohort studies. In this study, ELISA was used to evaluate 32 candidate protein biomarkers in a single cohort of CRC patients (n=95) and age/sex matched controls (n=50). Of these, 12 markers differed statistically between cases and controls. Receiver operating characteristic analysis identified IL8, Mac2BP, TIMP1, and OPN as the best performing markers for overall CRC diagnosis. However, further analysis determined that IL6, TGFB1, TIMP2 and IGF2 were most accurate at identifying early stage disease. We also assessed the correlation between markers and determined that the strongest correlations existed between VEGFA and TGFB1 (r=0.65, p<0.0001), M30 and M65 (r=0.59, p<0.001), and between TGFB1 and TIMP1 (r=0.55, p<0.0001). This analysis provides a consistent baseline for identifying a potential panel of diagnostic protein biomarkers in blood. Our results highlight protein biomarker combinations that reflect the disease process and which may provide the sensitivity and specificity required a reliable diagnosis of CRC.
Diversity and changes in the horizontal distribution of crustaceans and rotifers in an episodic wetland of the central region of Argentina

Although episodic wetlands are very frequent environments in Argentina, the knowledge about their ecology is scarce. Thus, the aim of this study was to describe the diversity and changes in the horizontal distribution of crustaceans and rotifers in the episodic wetland El Guanaco, Province of La Pampa, Argentina, during the hydroperiod that took place between December 2003 and March 2004. After three years during which it was dry, torrential rains made it reach a depth of 0.42 m. After 48 hours, ovigerous females and males of Metacyclops mendocinus (Wierzejeski 1892), juveniles of Moina wierzejskii (Richard 1895), and larvae of Triops longicaudatus (LeConte 1846) were recorded. The conductivity was reduced, the ionic content was dominated by bicarbonates and sodium and the concentrations of nutrients were high. The samplings were carried out in three stations, which at first were in open waters. The stations presented a homogeneous horizontal distribution of microcrustaceans and rotifers, with a predominance of limnetic species. Later, two of the stations were surrounded by Eleocharis macrostachya Britton plants, which allowed us to determine changes in the taxonomic composition and the appearance of species associated with the presence of vegetation. We recorded 35 taxa, being Moina micrura Kurz 1874 constantly present and highest in numbers. Among rotifers, the genus Brachionus was the predominant one. The species richness was higher in the station which was covered by E. macrostachya plants. After a period of high temperatures, we observed that the richness and abundance of microcrustaceans decreased, whereas those of rotifers increased.
A Picture of Stock-Flow Unemployment Melvyn Coles ( University of Essex and I . A . E . ( ICREA ) )

Stock-flow job matching with heterogeneous agents implies that there are two broad types of unemployed workers those on the short side of their occupations who can easily find work, and those on the long side who expect an extended spell of unemployment. Using matching data and information on completed and uncompleted unemployment spells for England and Wales, 1986-2000, this paper uses the stock-flow matching hypothesis to identify the fraction (or incidence) of laid off workers who find themselves on the long side of the market and, conditional on being on the long side, their expected duration of unemployment. The average incidence of long-side unemployment is around one half, and increases significantly in recessions. The expected duration of long-side spells is also strongly countercyclical peaking at 15 months in the 1990-92 recession and falling to a more modest 9 months by January 1999. Cross section estimates also identify a ‘North—South’ divide and a large city effect the long-side unemployed in the largest cities and in the ‘North’ experience longer spells of unemployment. Corresponding Author: Eric Smith, Dept. of Economics, University of Essex, Colchester. CO4 3SQ. [esmith@essex.ac. uk]
Quantitative assessment of lower limb bradykinesia in Parkinson's disease patients using smartphone sensors

In a perspective of evidence-based medicine, data from measurement systems, processed by data mining techniques, can provide quantitative measures that can make the available clinical information more objective and be an important aid for clinical decision making. This is the leitmotif of this project. In this Master Thesis work the focus is on motor symptoms of Parkinson's disease, in particular on bradykinesia (slowness of movement). The motivation is found in the need to have quantitative methods for the motor assessment of patients, in order to be able to monitor the daily uctuations of the motor symptoms (alternate of phase ON and phase OFF). In fact, the most used clinical evaluation scale, the MDS-UPDRS, in which the clinician is asked to assign a score between 0 and 4 according to the severity of the considered symptom, does not meet requirements of objectivity and repeatability. Furthermore, the fact that this kind of evaluation is performed only within follow-up sessions make impossible for the neurologist to observe the variations of the pharmacological/surgical treatment that occurs in Parkinson's disease patients. The main techniques for the assessment of motor functions in Parkinson's disease, based on inertial sensors located in wearable devices, were analysed in literature. The purpose of this study is to investigate the use of a common smartphone to collect data during the execution of a motor task and the best machine learning method for the quatitative assessment of bradykinesia. Ninety-three Parkinson's disease patients and ten healthy people partecipated in this study. The data used in the project was gathered from a smartphone positioned on the thigh while the patient conducted a prescribed movement activity: the Leg Agility (task 3.8 in the MDS-UPDRS). Some machine learning models were trained and tested for the supervised classi cation based on the UPDRS scale. A set of 16 features were extracted from the data and both multiclass classi cation and binary classi cation were performed.
The 2010 MW 6.8 Yushu (Qinghai, China) earthquake: Constraints provided by InSAR and body wave seismology

[1] By combining observations from satellite radar, body wave seismology and optical imagery, we have determined the fault segmentation and sequence of ruptures for the 2010 Mw 6.8 Yushu (China) earthquake. We have mapped the fault trace using displacements from SAR image matching, interferometric phase and coherence, and 2.5 m SPOT-5 satellite images. Modeling the event as an elastic dislocation with three segments fitted to the fault trace suggests that the southeast and northwest segments are near vertical, with the central segment dipping 70° to the southwest; slip occurs mainly in the upper 10 km, with a maximum slip of 1.5 m at a depth of 4 km on the southeastern segment. The maximum slip in the top 1 km (i.e., near surface) is up to 1.2 m, and inferred locations of significant surface rupture are consistent with displacements from SAR image matching and field observations. The radar interferograms show rupture over a distance of almost 80 km, much larger than initial seismological and field estimates of the length of the fault. Part of this difference can be attributed to slip on the northwestern segment of the fault being due to an Mw 6.1 aftershock two hours after the main event. The remaining difference can be explained by a non-uniform slip distribution with much of the moment release occurring at depths of less than 10 km. The rupture on the central and southeastern segments of the fault in the main shock propagated at a speed of 2.5 km/s southeastward toward the town of Yushu located at the end of this segment, accounting for the considerable building damage. Strain accumulation since the last earthquake on the fault segment beyond Yushu is equivalent to an Mw 6.5 earthquake.
A Classification of Brand Pride Using Trust and Commitment

Pride of something is an inherent feeling. In the attempt to bond customers and employees to the company, pride seems to play an interesting role, often resulting in strong relationships. Despite the strong inherent feeling pride forms it has not yet reached marketing and behavioral research. In this paper we therefore classify a specific form of pride, i.e. brand pride, using the constructs trust and commitment. In addition, this paper presents several propositions in relation to these constructs and based on recent branding literature. The article ends by suggesting directions for further research in order to increase research on this important topic.
Bitcoin: Technology, Economics and Business Ethics

The rapid advancement in encryption and network computing gave birth to new tools and products that have influenced the local and global economy alike. One recent and notable example is the emergence of virtual currencies, also known as cryptocurrencies or digital currencies. Virtual currencies, such as Bitcoin, introduced a fundamental transformation that affected the way goods, services, and assets are exchanged. As a result of its distributed ledgers based on blockchain, cryptocurrencies not only offer some unique advantages to the economy, investors, and consumers, but also pose considerable risks to users and challenges for regulators when fitting the new technology into the old legal framework. This paper attempts to model the volatility of bitcoin using 5 variants of the GARCH model namely: GARCH(1,1), EGARCH(1,1) IGARCH(1,1) TGARCH(1,1) and GJR-GARCH(1,1). Once the best model is selected, an OLS regression was ran on the volatility series to measure the day of the week the effect. The results indicate that the TGARCH (1,1) model best fits the volatility price for the data. Moreover, Sunday appears as the most significant day in the week. A nontechnical discussion of several aspects and features of virtual currencies and a glimpse at what the future may hold for these decentralized currencies is also presented.
Chapter 7 Relation between neuritic plaques and depressive state in Alzheimer ’ s disease

Objective: To investigate for the first time in a prospective study using a scale for depressive symptoms in dementia the relationship between depressive state and the neuropathological hallmarks of Alzheimer’s disease (AD), while controlling for clinical severity of dementia. Method: Within the framework of a prospective longitudinal study of depression in AD, demented patients underwent a clinical evaluation every six months during the last years of their lives, using the Cornell scale for depression in dementia to assess depressive symptoms and using the Functional Assessment Staging scale to control for clinical severity of dementia. The brains of 43 Alzheimer patients were obtained. The last clinical evaluations prior to death together with post-mortem neuropathology measures were analysed. Results: We found a significant correlation between the Cornell scores and the sum score for the density of neuritic plaques in the entire cortex (p=.027), and in particular in the temporal cortex (p=.012). The observed correlations were independent of sex, age of death, clinical dementia severity and duration of AD. Conclusions: This study shows a positive relationship between depressive state at time of death and the presence of neuritic plaques in AD, which is independent of the clinical severity of dementia. Introduction Depression occurs in 20-50% of the Alzheimer’s disease (AD) patients during some time of the disease process (Lyketsos et al., 2002). Depression can also be one of the earliest symptoms of AD (Broe et al., 1990; Sultzer, 1996; Berger et
Non-pharmacological Strategies to Suppress Triggers of Cardiac Arrhythmias by Targeting L-Type Ca2+ Channels

Author(s): Suriany, Silvie | Advisor(s): Olcese, Riccardo; Glanzman, David L | Abstract: Sudden cardiac death is one of the major leading causes of death in the United States, affecting about 300,000 people annually on average. Cardiac arrhythmias and ventricular fibrillation can be triggered, at the cellular level, by the presence of aberrations of the cardiac action potential (AP) known as early afterdepolarizations (EADs). EADs are single or multiple voltage oscillations largely induced by the reactivation of L-type Ca2+ currents (ICa,L) during phase 2 and phase 3 of a cardiac AP. Our recent studies using dynamic clamp techniques have suggested that EADs and their arrhythmogenic consequences can be potently suppressed by subtle reduction the ICa,L current non-inactivating (pedestal) component and/or minimal changes (3-5 mV) in the voltage dependence of activation. Exploiting the modulatory effects of L-type Ca2+ channel (LTCC) auxiliary β2 subunits on the non-inactivating component of ICa,L, we sought to investigate the effects of knocking down Cavβ2 subunit expression levels in rabbit ventricular myocytes in the presence of an oxidative stress known to trigger EADs (H2O2). We hypothesized that reducing the expression level of endogenous Cavβ2 decreases the probability of EAD occurrence in cardiomyocytes exposed to H2O2. Using an adenoviral infection to deliver a short hairpin RNA (shRNA) specific for targeting Cavβ2 that inhibits its gene expression by binding to its mRNA transcripts, our results showed that myocytes expressing less Cavβ2 mRNA exhibited no EADs; whereas, the control myocytes infected with GFP alone as a control group were more susceptible to EAD occurrence in 0.6 mM H2O2. These results suggest that Cavβ2 could be a potential target for gene therapy and could give insights to other therapeutic strategies that could possibly be implemented.
Invasive European bird cherry (Prunus padus) reduces terrestrial prey subsidies to urban Alaskan salmon streams

The spread of invasive species in riparian forests has the potential to affect both terrestrial and aquatic organisms linked through cross-ecosystem resource subsidies. However, this potential had not been explored in regards to terrestrial prey subsidies for stream fishes. To address this, we examined the effects of an invasive riparian tree, European bird cherry (EBC, Prunus padus), spreading along urban Alaskan salmon streams, by collecting terrestrial invertebrates present on the foliage of riparian trees, their subsidies to streams, and their consumption by juvenile coho salmon (Oncorhynchus kisutch). Riparian EBC supported four to six times less terrestrial invertebrate biomass on its foliage and contributed two to three times lower subsidies relative to native deciduous trees. This reduction in terrestrial invertebrate biomass was consistent between two watersheds over 2 years. In spite of this reduction in terrestrial prey resource input, juvenile coho salmon consumed similar levels of terrestrial.
American Chestnut, Rhododendron, and the Future Of Appalachian Cove Forests

By the mid 1930s, the southern Appalachians had been heavily cutover and the dominant hardwood, American chestnut (Castanea dentata), had succumbed to the chestnut blight (Cryphonectria parasitica). Forests that had been burned on a frequent basis for millennia were now protected and fire was excluded in large degree. We estimated the pre-blight importance of chestnut in cove forests and the recovery of the overstory canopy on these rich sites following the blight and logging early in the last century. The overstory has largely recovered from the blight, although chestnut is not longer a functional component of the cove forest ecosystem. Following the blight, the successional pathway on two unlogged, old-growth sites proceeded to an oak association; on two logged sites, succession proceeded to mesophytic forests. A gradual change in the understory has occurred in many coves that threatens their future diversity and productivity. Encroaching rhododendron (Rhododendron maximum) thickets are severely inhibiting hardwood regeneration and reducing herbaceous/shrub species richness. Neither shade-tolerant nor shade-intolerant hardwood species are becoming established in canopy-gaps where rhododendron is present in moderate to high densities. Rhododendron has become an ecologically dominant species because it thrives on disturbance and, once established, inhibits other species. New management techniques will have to be developed if diversity and productivity of cove hardwood forests are to be sustained. 1Bowen Professor of Forestry, Department of Forest Resources, Clemson University, Clemson, SC 29634; Graduate Student, Department of Biology, University of North Carolina, Chapel Hill, NC 27599-3280; Forester, International Paper Company, Jackson, MS; Extension Riparian Management Specialist, College of Agriculture and Home Economics, New Mexico State University, Las Cruces, NM 88003-8003; Ecosystem Project Forester, International Paper Company, Bainbridge, GA 32717; Research Forester, US Forest Service, Southern Research Station, Coweeta, NC 28763; Research Forester, US Forest Service, Southern Research Station, Clemson, SC 29634, respectively. Citation for proceedings: Outcalt, Kenneth W. , ed. 2002. Proceedings of the eleventh biennial southern silvicultural research conference. Gen. Tech. Rep. SRS–48. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. 622 p.
In vivo corrosion of four magnesium alloys and the associated bone response

Degrading metal alloys are a new class of implant materials suitable for bone surgery. The aim of this study was to investigate the degradation mechanism at the bone–implant interface of different degrading magnesium alloys in bone and to determine their effect on the surrounding bone. Sample rods of four different magnesium alloys and a degradable polymer as a control were implanted intramedullary into the femora of guinea pigs. After 6 and 18 weeks, uncalcified sections were generated for histomorphologic analysis. The bone–implant interface was characterized in uncalcified sections by scanning electron microscopy (SEM), element mapping and X-ray diffraction. Results showed that metallic implants made of magnesium alloys degrade in vivo depending on the composition of the alloying elements. While the corrosion layer of all magnesium alloys accumulated with biological calcium phosphates, the corrosion layer was in direct contact with the surrounding bone. The results further showed high mineral apposition rates and an increased bone mass around the magnesium rods, while no bone was induced in the surrounding soft tissue. From the results of this study, there is a strong rationale that in this research model, high magnesium ion concentration could lead to bone cell activation. r 2004 Elsevier Ltd. All rights reserved.