Miracle-dz/UniFAR-FTUs huggingface dataset:
Ligeti, Africa and Polyrhythm

Since the 1980s Gyorgy Ligeti has often spoken of his admiration for African music, even contributing the foreword for Simha Arom's African Polyphony and Polyrhythm. The A. traces some of the African connections in Ligeti's music of the past twenty years, including the Piano Etudes, Piano Concerto, Violin Concerto and Nonsense Madrigals. These connections are not apparent to the casual listener; in fact, Ligeti seems to take pains to cover his tracks, to use abstract principles rather than surface details. Furthermore, Ligeti combines these African principles with many other influences and ideas to produce a music which is uniquely his. The A. concludes by examining this integration of the Other (not only African music but all sorts of music and ideas) into Ligeti's idiosyncratic style.
Study of Second Harmonic Generation in KDP/Al₂O₃ Crystalline Nanocomposite

Study of Second Harmonic Generation in KDP/Al2O3 Crystalline Nanocomposite N. Andrushchak, B. Kulyk, P. Göring, A. Andrushchak and B. Sahraoui Lviv National Polytechnic University, 12 S. Bandery Str. , 79013 Lviv, Ukraine Research and Educational Center Fractal , Department of Physics, Ivan Franko National University of Lviv, 50 Dragomanova Str. , 79005 Lviv, Ukraine SmartMembranes GmbH, Heinrich-Damerow-Str. 4, 06120 Halle, Germany University of Angers, MOLTECH-Anjou Laboratory, UMR CNRS 6200, 2 bd Lavoisier, 49045 Angers, France
Investigating the X-ray Emission from the Galactic TeV Gamma-ray Source MGRO J1908+06

MGRO J1908+06 is a bright, extended TeV gamma-ray source located near the Galactic plane. The TeV emission has previously been attributed to the pulsar wind nebula of the radio-faint gamma-ray pulsar PSR J1907+0602 discovered with Fermi. However, studies of the TeV morphology with VERITAS have shown that MGRO J1908+06 is somewhat larger than other pulsar wind nebulae of similar age and that the TeV spectrum does not soften with distance from the pulsar as is observed for other pulsar wind nebulae. Although MGRO J1908+06 is very bright in gamma rays with a flux corresponding to ~80% of the Crab Nebula flux at 20 TeV, no extended emission at other energies has so far been detected. We report on our analysis of X-ray data obtained with XMM-Newton of the region near MGRO J1908+06. We searched the data for point-like sources and detected several hard-spectrum X-ray sources that could be associated with the TeV emission, including the gamma-ray pulsar PSR J1907+0602. We also performed an extended source analysis to search for diffuse emission from MGRO J1908+06 but found no evidence of diffuse X-ray emission coincident with the TeV source. We place an upper limit of $8.7\times10^{33}\rm~erg~s^{-1}$ on the X-ray luminosity of MGRO J1908+06 in the 1-10 keV energy range. The corresponding limit on the ratio of gamma-ray to X-ray luminosity is consistent with the ratios found for other pulsar wind nebulae of similar age.
Antimicrobial properties of chilli lipoxygenase products.

Plant oxylipins, the metabolic products of polyunsaturated fatty acids have been variously implicated in control of microbial pathogens. To get a better insight into the biological activities of oxylipins, in vitro growth inhibition assays were used to investigate the direct antimicrobial activities of 9 and 13lipoxygenase (LOX) products against a set of plant pathogenic bacteria and fungi. LOX hydroperoxides derived from seeds of Capsicum annum showed differential antimicrobial activity. It was found that the LOX hydroperoxides, that is, 9-hydroperoxy octadecadienoic acid (9-HPODE) and 9-hydroperoxy octadecatrienoic acid (9-HPOTrE) showed antimicrobial activity against various fungal and bacterial pathogens. LOX hydroperoxides, that is, 9-hydroperoxy octadecatrienoic acid (9-HPOTrE) showed maximum antimicrobial activity than 9-hydroperoxy octadecadienoic acid (9-HPODE). The antimicrobial activity of oxylipins suggests their role in plant defense mechanism.
Impact of the Carbon Allotropes on Cholesterol Domain: MD Simulation

In recent years, immense advancement has been made in the field of nanotechnology. This emerging field will indefinitely become a critical facet of many areas including chemistry, biology, electronics and optics, and will provide unique opportunities for researchers to innovate in unimaginable ways. Nanomaterials, because of their unique mechanical, thermal, optical and electronic properties, have reshaped many segments of modern science and engineering and are increasingly impacting our society, health care, and the environment. Specifically, nanotechnology has great potential in biomedical applications, as mammal/human biology is essentially a very complex system of nano-machines. Nowadays big changes are coming from the marriage of medicine and nanotechnology the new branch of science called nanomedicine or molecular medicine. A field of utilizing molecular assemblies at the nano-scale of about 100 nm or less for novel and alternative diagnostics and therapeutics, in incredible selectivity and accuracy not achievable through conventional means. One would hope that with the future development of nanomedicine, we will be able to think of today's incurable diseases as curable tomorrow, by looking at a problem at its molecular or even atomic levels and apply medical intervention at the molecular scale. Presently nanomedicine involves detection of particles (nanobiosensors), drug delivery systems, emulsions, and carriers for delivering vaccines and biomaterials with unusual properties and improved biocompatibility. Recently, within the realm of nano-scale, carbon nanotubes (CNT) are being tested as medical devices at an increasing rate. Just to mention a few examples: CNTs have been utilized as scaffolds for neuronal and ligamentous tissue growth for regenerative interventions of the central nervous system and orthopaedic sites (Hu et al., 2004), substrates for detecting antibodies associated with human autoimmune diseases with high specificity (Wang et al., 2004), carriers of contrast agent for enhanced magnetic resonance imaging (Sitharaman et al., 2005). When coated with nucleic acids (DNA or RNA), vaccines, and proteins, CNTs have been shown as effective substrates for gene sequencing and as gene and drug delivery vectors to challenge conventional viral and particulate delivery systems (Pantarotto et al., 2004; Kam et al., 2004; Liu et al., 2005; Lu et al., 2004) . Carbon nanotube has been also probed as a vehicle for drug delivery into selected cells (Liu et al., 2008) and as bio-sensor (Wisitsoraat et al., 2010). In this chapter we consider and test the idea that carbon nanotubes might be utilized to remove unwanted molecular aggregates, particularly excess cholesterol, from a living tissues.
Energy transfers in forced MHD turbulence

The energy cascade in magnetohydrodynamics is studied using high resolution direct numerical simulations of forced isotropic turbulence. The magnetic Prandtl number is unity and the large scale forcing is a function of the velocity that injects a constant rate of energy without generating a mean flow. A shell decomposition of the velocity and magnetic fields is proposed and is extended to the Elsässer variables. The analysis of energy exchanges between these shell variables shows that the velocity and magnetic energy cascades are mainly local and forward, though non-local energy transfer does exist between the large, forced, velocity scales and the small magnetic structures. The possibility of splitting the shell-to-shell energy transfer into forward and backward contributions is also discussed.
Understanding auditory verbal hallucinations

Objective: Auditory Verbal Hallucinations (AVHs) are core features of psychotic illness, and remain significant in predicting poor outcome and risk. There has been a wide range of approaches to understanding these experiences. Method: A systematic literature review summarising different methods of investigation and their results; phenomenology, descriptive psychopathology, psychological, cognitive neurobiology and neuroimaging. Results: 764 papers and texts were screened and 113 reviewed. Phenomenological studies are comparably few in number and psychopathology remains based on concepts defined in the early 20th century. Psychological models focus on voice content and emotional reaction, and suggest a continuum of AVHs from normal experience. Neuropsychological models include AVHs as misattribution of inner speech, whilst functional neuroimaging studies focus on the spontaneous activity and connectivity of auditory networks. Conclusions: There has been a large growth in research on AVHs in recent decades dominated by neurobiological and neuroimaging studies. Future research should include focus on phenomenological aspects and AVHs change over the course of developing illness. Integration between branches of enquiry is needed and the risk is that without this, models are proposed and investigated that bear scant relevance to the symptom itself.
ON DEVELOPMENT CAPABILITY

Purpose of the text is to study a concept of development capability and possibility to express it quantitatively. Concept of organization's development is shown as process of eliminating gaps encountered by organization. A mathematical model of "problem cleaning" is used. It is shown that: There is a mathematical model of closing development gap, which involves characteristics of gap, of resources and parameters of development process. There are four quantities that determine performance of development process. They refer to organization's characteristics that are set by the strategic management. Model illustrates impact of strategic decisions on effectiveness of development and shows that "time to gap" is one of key factors that determine development capability.
Exploring demographic influences on students' academic performance over a five-year programme

Introduction: This mixed-method interpretive study examines the influence of five demographic characteristics or factors on the academic achievements of a cohort of 202 students through a five-year medical degree programme. Methodology: A quantitative analysis was performed, analysing a series of 32 summative assessments according to racial grouping (as defined in South Africa), first language, sex, age at entry, and source of finance for study. During the cohort’s third year, a stratified sample of 19 students and six staff members was interviewed, individually or in groups. Their opinions on these five factors were elicited using, as stimuli for discussion, graphs showing the performance of a previous cohort. Results: Quantitative analysis of assessment marks demonstrated statistical differences between groups of students when examined according to race, first language, or financial support, the differences being maintained over the full five years. No significant differences were seen according to sex or age. Qualitative investigation revealed a number of opinions on, and explanations of, the differences observed. Some respondents’ comments and proposed explanations seemed, at first, counterintuitive, yet appropriate to the pertaining circumstances. Conclusions: This study has implications for academic development, and advances the literature on diversity and demographic factors influencing student achievement, beyond mere statistics by exploring the details of students’ lives as they relate to the factors investigated.
A Poisson-Gamma Model for Zero Inflated Rainfall Data

Rainfall modeling is significant for prediction and forecasting purposes in agriculture, weather derivatives, hydrology, and risk and disaster preparedness. Normally two models are used to model the rainfall process as a chain dependent process representing the occurrence and intensity of rainfall. Such two models help in understanding the physical features and dynamics of rainfall process. However rainfall data is zero inflated and exhibits overdispersion which is always underestimated by such models. In this study we have modeled the two processes simultaneously as a compound Poisson process. The rainfall events are modeled as a Poisson process while the intensity of each rainfall event is Gamma distributed. We minimize overdispersion by introducing the dispersion parameter in the model implemented through Tweedie distributions. Simulated rainfall data from the model shows a resemblance of the actual rainfall data in terms of seasonal variation, means, variance, and magnitude. The model also provides mechanisms for small but important properties of the rainfall process. The model developed can be used in forecasting and predicting rainfall amounts and occurrences which is important in weather derivatives, agriculture, hydrology, and prediction of drought and flood occurrences.
Image Segmentation Based on Visual Perception Model

Abstract —Image segmentation is the basis of image processing and image analysis. However, there are no common method that can be used in natural images, and present methods fail to explain understandings of human’s visual system. In this paper, we propose to apply Karklin's visual perception model to extract feature vectors of images, and the features are clustered with K-means method. The results obtained in feature space are projected back to the image space to finish segmentation. A comparison with the Normalized Cuts (Ncut) method is done, and it turns out that proposed method outperform Ncut in texture rich images. Keywords-Visual perception model; Image segmentation; Normalized cuts; Feather extraction I. I NTRODUCTION Image segmentation has been one of the basic problems of image processing. So far, there has been a lot of image segmentation algorithms, such as methods based on clustering [1], on active contour [2][3], on active appearance model (AAM) [4], on motion [5], and on graph theory [6], . etc. Recently, many researchers have focused on graph theory based segmentation methods, and one of the most notable works is the Normalized Cuts (Ncut) [6]. Ncut is better than other methods, as it provides a standard segmented criterion and will not tend to small areas in segmentation. However, when it comes to natural images, the results may mismatch human’s understanding. In fact, human visual structure outperforms the best machine vision system in any measurements [7], and building a system that emulates working mechanism in human cortex has always been attracting. Will it be better than the present methods if an image is segmented by visual perception model? In this paper, we propose to apply Karklin’s visual perception model [8][9] to image segmentation, and make a comparison with the Ncut method [6]. II. S
Advanced Experimental Medical Diagnostic System Design and Realization

The aim of this work is to design and realize the experimental diagnostic instrument for biological data measurement. In the biomedical engineering daily live work is necessary to measure and analyze wide range of variables coming primary from humans or animals. There are measured mostly electrical signals from in vivo or in vitro from the subjects. Concerning these requirements we proposed the cheap and quality balanced measuring device for six channels with 2 kHz and 12 bit ADC resolution equipped with USB bus. Concerning our requirements were realized the photoplethysmography and electrocardiography module connected into measuring device to realize practical bio-signal measurements and tests. Ill. 12, bibl. 5 (in English; abstracts in English and Lithuanian). DOI: http://dx.doi. org/10.5755/j01.eee. 117.1. 1060
Survey on Brain Tumor Identification

Brain tumors are caused by the growth of abnormal cells inside the Brain. Brain tumor can be classified as Benign (non cancerous) and malignant(cancerous). Malignant brain tumors usually grow rapidly when compared to benign tumors, and aggressively spread and affect the surrounding tissues. Detection of tumor in brain can turn out to be cumbersome, owing to the complex organization of the Brain. The cost of making an error in Identifying a Malignant Tumor from a Benign Tumor is too high. At a time, when cases of Brain Tumors are growing, mostly among people of age between 65 and 79, but not just confined to that age bracket, we can take advantage of the advancement in the field of technology and accurately identify tumors and help save lives.
Development of a mobile photovoltaic stand-alone energy supply system

This paper discusses a systematic approach for the design and implementation of a mobile stand-alone photovoltaic (PV) system. The system is designed on the plug and play principle. There are a number of potential system configurations for stand-alone PV system including mobile stand-alone PV system. In remote locations, mobile stand-alone configurations are of interest, and may prove more cost effective than a grid connected systems. In this paper a mobile stand-alone PV system model is developed within the MatLAB/Simulink platform for system analysis and performance optimization. The potential yield of such a mobile stand-alone PV system design is investigated using data collected at an industrial test site and the performance of the PV system under variable conditions determined. This paper also described an optimal design and implementation of an efficient mobile stand-alone PV system. The structure of the PV system and design methodologies is also discussed. Tests were conducted with the implementation of the new design and the results show that the system performance improved significantly.
The Effects of Moods Induced by Webpage Content on the Effectiveness of Display Ads

This study investigates the influence of customers' mood states, as elicited by webpage content, on the effectiveness of online display ads. A laboratory experiment is conducted and the results show that customers in positive moods induced by webpage content will have better recall, attitude, purchase intentions, and will be more likely to click on display ads, compared to those in negative moods. These effects are also moderated by advertisement type, product type, attention level, and product involvement. Based on these findings, this study offers guidelines for Internet advertisers and advertising service providers.
A Fuzzy Kernel Maximum Margin Criterion for Image Feature Extraction

Based on kernel principal component analysis, fuzzy set theory, and maximum margin criterion, a novel image feature extraction and recognition method, called fuzzy kernel maximum margin criterion (FKMMC), is proposed. In the proposed method, two new fuzzy scatter matrixes are redefined. The new fuzzy scatter matrix can reflect fully the relation between fuzzy membership degree and the offset of the training sample to subclass center. Besides, a concise reliable computational method of the fuzzy between-class scatter matrix is provided. Experimental results on four face databases (AR, extended Yale B, GTFD, and FERET) demonstrate that the proposed method outperforms other methods.
Integrated responses of hydraulic architecture, water and carbon relations of western hemlock to dwarf mistletoe infection

Dwarf mistletoe ( Arceuthobium spp.) is a hemiparasite that is said to be the single-most destructive pathogen of commercially valuable coniferous trees in many regions of the world. Although its destructive nature is well documented in many respects, its effects on the physiology of its host are poorly understood. In the present study, water and carbon relations were characterized over a range of scale from leaf to whole tree in large (40- to 50-m-tall) individuals of western hemlock ( Tsuga heterophylla (Raf.) Sarg. ) that were either heavily infected, or uninfected with hemlock dwarf mistletoe ( Arceuthobium tsugense ). Specific hydraulic conductivity ( k s ) of infected branches was approximately half that of uninfected branches, yet leafspecific conductivity ( k L ) was similar because leaf area : sapwood area ratios ( A L : A S ) of infected branches were lower. Pre-dawn and minimum leaf water potential and stomatal conductance ( g s ) were similar among infected and uninfected trees because adjustments in hydraulic architecture of infected trees maintained k L despite reduced k s . Maximum whole-tree water use was substantially lower in infected trees (approximately 55 kg d - 1 ) than in uninfected trees (approximately 90 kg d - 1 ) because reduced numbers of live branches in infected trees reduced whole-tree A L : A S in a manner consistent with that observed in infected branches. Maximum photosynthetic rates of heavily infected trees were approximately half those of uninfected trees. Correspondingly, leaf nitrogen content was 35% lower in infected trees. Foliar d 13 C values were 2.8‰ more negative in infected than in uninfected individuals, consistent with the absence of stomatal adjustment to diminished photosynthetic capacity. Adjustments in hydraulic architecture of infected trees thus contributed to homeostasis of water transport efficiency and transpiration on a leaf area basis, whereas both carbon accumulation and photosynthetic water use efficiency were sharply reduced at both the leaf and whole-tree scale.
SPICE Simulation for Analysis and Design of Fast 1 . 55 m MQW Laser Diodes

A rate equation model for static and dynamic behavior of 1.55 m InGaAsP multiquantum-well (MQW) semiconductor lasers has been developed. A three level scheme for the rate equations has been chosen in order to model carrier transport effects. The introduction of quasi-two-dimensional (quasi-2-D) gateway states between unbound and confined states has been used to calculate, for each well independently, carrier density and gain, allowing to take nonuniform injection into account. Starting from the formal identity between a rate equation and a Kirchoff current balance equation at a capacitor node, the model has been implemented on a SPICE circuit emulator. SPICE has granted an easy handling of parasitics and opens the possibility of integration with electrical components. The model’s parameters have been directly derived from a complete set of measurements on real devices. Thanks to this characterization and the model accuracy, we have obtained good agreement between simulations and experimental data. The model was finally used to improve both static and dynamic properties of MQW devices. Based on this optimization, compressive strained InGaAsP/InP MQW Fabry–Perot lasers were realized, achieving low threshold current, high efficiency, and more than 10 GHz of direct modulation bandwidth.
Internal Relationship Marketing and Job Performance: A Theoretical Analysis

Human resources are considered as one of the important intangible resources of company composed mainly of employees' knowledge, skills and attitudes. When human capital is scarce, precious and difficult to imitate, it can be a source of sustainable competitive advantage. Internal Relationship Marketing (IRM) acts in this sense. It is considered as a process of creating, developing and maintaining sustainable relationships between the company and its employees. In this context, and through an analysis of the existing literature in this field, we will try to study the effects of IRM on the employee job performance. The main results of this work are that the IRM, through its relational determinants namely: communication, organizational trust, organizational commitment and job satisfaction, help improve employee job performance and more precisely task performance and contextual performance. This study wraps up by a proposal of a conceptual model, linking the different components of our research.