Miracle-dz/UniFAR-FTUs huggingface dataset:
Keyword Network Analysis on the Research Trends of Life-Long Education for People with Disabilities in Korea

Abstract—The purpose of this study is to examine the research trends of life-long education for people with disabilities using a keyword network analysis. For this purpose, 151 papers were selected from 594 papers retrieved using keywords such as 'people with disabilities' and 'life-long education' in the Korean Education and Research Information Service. The Keyword network analysis was constructed by extracting and coding the keyword used in the title of the selected papers. The frequency of the extracted keywords, the centrality of degree, and betweenness was analyzed by the keyword network. The results of the keyword network analysis are as follows. First, the main keywords that appeared frequently in the study of life-long education for people with disabilities were 'people with disabilities', 'life-long education', 'developmental disabilities', 'current situations', 'development'. The research trends of life-long education for people with disabilities are focused on the current status of the life-long education and the program development. Second, the keyword network analysis and visualization showed that the keywords with high frequency of occurrences also generally have high degree centrality and betweenness centrality. In terms of the keyword network diagram, it was confirmed that research trends of life-long education for people with disabilities are centered on six prominent keywords. Based on these results, it was discussed that life-long education for people with disabilities in the future needs to expand the subjects and the supporting areas of the life-long education, and the research needs to be further expanded into more detailed and specific areas.
Synthesis, characterization, theoretical studies and biological activities of naringinmetal complexes

The new metal complexes of Cr (III), Mn (II), Fe (III), Co (II), Ni (II) and Zn (II) with naringin(L)were synthesized and were characterized by elemental and thermal analyses as well as FT-IR and UV-Vis Spectra. The magnetic properties and electrical conductivities of metal complexes were also determined. Study of the nature of the complexes formed in ethanol following the mole ratio method. The work also include a theoretical treatment of the formed complexes in the gas phase, this was done using the (hyperchem-8) program for the molecular mechanics and semi-empirical calculations. The heat of formation (AHfiÂ°), binding energy (AEb)and total energy (AET) for ligand and their complexes were calculated by (PM3) method at 298 KiÂ°. The electrostatic potential of the free ligand (L) was calculated to investigate the reactive sites of the molecules. PM3 were used to evaluate the bond length, vibrational and electronic spectra for the ligand (L) and their metal complexes then comparing with the experimental values. The theoretical results agreed with those found experimentally. The antibacterial activity for the (L) and its metal complexes were studied against two types of pathogenic bacteriamicro-organisms (Escherichia coli) and (staphylococcus aureus). Furthermore the antifungal activity against two micro-organism (Candida albicans) and (Aspergillusflavus) were studied for (L) ligand and their metal complexes.
Pretty good state transfer of entangled states through quantum spin chains

The XX model with uniform couplings represents the most natural choice for quantum state transfer through spin chains. Given that it has long been established that single-qubit states cannot be transferred with perfect fidelity in this model, the notion of pretty good state transfer has been recently introduced as a relaxation of the constraints on fidelity. In this paper, we study the transfer of multi-qubit entangled and unentangled states through unmodulated spin chains, and we prove that it is possible to have pretty good state transfer of any multi-particle state. This significantly generalizes the previous results on single-qubit state transfer and opens the way to using uniformly coupled spin chains as short-distance quantum channels for the transfer of arbitrary states of any dimension. Our results could be tested with current technology.
The cave environment influencing the lipid profile and hepatic lipogenesis of the fish Ancistrus cryptophthalmus Reis, 1987 (Siluriformes: Loricariidae)

The metabolism of hypogean organisms is frequently molded by the cave environment traits, especially food scarcity. The aim of the present work was to evaluate the influence of such environment on lipid composition and hepatic lipogenesis in the fish Ancistrus cryptophthalmus. For this, the species was compared to an epigean population of the species. A greater accumulation of total lipids was observed in the cave-dwelling fish (18.36 g/100 g tissue) compared to the surface fish (14.09 g/100 g tissue). The muscle fatty acid profile also varied between the populations. Arachidonic acid was only detected in the epigean fish, while docosahexaenoic acid was present in the cave fish. In the lipid profile of Ancistrus cryptophthalmus there was a higher proportion of saturated fatty acids, followed by monounsaturated and polyunsaturated fatty acids; Ancistrus sp. showed a predominance of monounsaturated fatty acids. Significant differences were also observed in the activities of the hepatic enzymes glucose-6-phosphate dehydrogenase and malic enzyme. The activities of these two enzymes were greater in the epigean animals. The differences could be related to different food availability observed in the two environments. An ecotone zone was observed, located next to the entrance of the Lapa do Angelica cave (Goias State, Brazil), where the fishes showed characteristics that were intermediate between those of hypogean fishes from deeper within the cave, and the epigean population. It could be concluded that the characteristics of the cave environment significantly influenced the composition of muscle fatty acids and lipogenesis in the hypogean fish Ancistrus cryptophthalmus.
Efficient Cyclostationary Detection Based Spectrum Sensing in Cognitive Radio Networks

-As the customers in wireless communication becoming crowdy and it becomes an important to tackle the spectrum scarcity problem. Most of TV licensed spectrum band, users only utilize their chosen resources partially, thus force the need of cognitive radios (CR) which offers the capable feature of accessing the unused spectrum by dynamic spectrum. In this paper, we are presenting the cyclostationary detection method for estimation and spectral autocorrelation function technique to analyze the spectrum. We used cyclostationary feature detection under modulation scheme to detect the primary users at very low SNR and enhancing cyclostationary feature detection with peak detection algorithm for effective performance. To reduce the noise peaks in the cyclostationary output absolute threshold, standard deviation and filtfilt are the techniques used to get a better efficiency for signal detection.
Macroeconomic Uncertainty and Macroeconomic Performance: Are They Related?

We use a very general multivariate GARCH-M model and G7 monthly data covering the 1957-2003 period to test for the impact of real and nominal macroeconomic uncertainty on inflation and output growth. Our evidence supports a number of important conclusions. First, in most countries output growth uncertainty is a positive determinant of the output growth rate. Second, there is mixed evidence regarding the eect
Type D Personality and Mortality in Peripheral Arterial Disease

Main Outcome Measures: Patients completed the type D Scale-14 measure of type D personality at baseline. Information about all-cause mortality was obtained from patient medical files. Results: During 4-year follow-up, 16 patients (8.7%) died. Adjusting for age and sex, type D personality was predictive of mortality (P = .03). Ankle-brachial index (P=.05), age (P=.009), diabetes mellitus (P=.02), pulmonary disease (P=.09), and renal disease (P=.02) were also predictive of mortality. Multivariable logistic regression revealed that age, diabetes, and renal disease were independent predictors of all-cause mortality (odds ratios, 1.1-2.3). After adjustment for these clinical predictors, patients with type D personality still had a more than 3-fold increased risk of death (odds ratio, 3.5; 95% confidence interval, 1.1-11.1; P=.04).
Efecto combinado del aceite esencial de Cinnamomum zeylanicum blume y nistatina sobre cepas de Candida no-albicans

Introduction: considering the emergence of resistant species of albicans and nonalbicans Candida to agents therapeutically available as a result of the increased number of immunocompromised population and of the increasingly frequent use of prophylaxis and empirical treatment with antifungals, it's verified that there is a clear and emerging need to introduce new antimicrobials agents in the therapeutic arsenal. The purpose of this study was to evaluate the antifungal activity of essential oil ofCinnamomum zeylanicum Blume alone and combined with Nystatin on strains of C. tropicalis and C. krusei. Methods: this was an experimental research in laboratory. It was determined the Minimum Inhibitory Concentration, using the microdilution method, as well as the Fractional Inhibitory Concentration to determine the possible synergistic effects of the association. Strains of C. tropicalis ATCC 40147 and C. krusei ATCC 40042 were used in the tests. When assessed separately, C. zeylanicum essential oil and Nystatin presented Minimum Inhibitory Concentration of 312,5 μg/mL and 64 μg/mL, respectively, on both tested strains. Results: When combined, were found Minimum Inhibitory Concentration of 39 μg/mL and 32 μg/mL for the essential oil and for Nystatin, respectively. The Fractional Inhibitory Concentration value was 0,6024 for both tested strains, indicating additivity of the inhibitory effect on fungal growth. Conclusions: the results indicate that C. zeylanicum essential oil has antifungal activity against the strains of non-albicans Candida evaluated and that its association with Nystatin potentiates this effect.
Peripheral Nerve Regeneration within Tubular Prosthesis: Effects of Laminin and Collagen Matrices on Cellular Ingrowth

Bridging a severed peripheral nerve with a tubular conduit, "entubulation repair" , allows manipulation of the microenvironment encountered by regenerating axons. In the present study, we placed the ends of severed mouse sciatic nerves into nonpermeable Tygon tubes to bridge a 4 mm nerve gap. The tube lumen was filled with either a collagen or laminin matrix. The matrices formed a stable 3-D structure connecting both proximal and distal stumps, and provided a scaffolding for the regenerating axons and their supporting cells. We examined with scanning electron microscopy (SEM), transmission electron microscopy (TEM) and light microscopy, the initial events of axonal and cellular ingrowth in the first 12 days post-section. Both of the core matrices within the tube lumen became surrounded first by a loose trabecular matrix and then by a concentric sheet of flat cells . Our previous studies have shown that at early time points following entubulation repair more axons crossed a 4 mm nerve gap through tubes filled with laminin compared to collagen matrices. In the present study, we found a faster ingrowth of supporting cells, and associated axons in the lamininenriched matrices. This earlier axonal outgrowth did not appear to be related to the total density of nonneuronal cells. Rather, the axonal ingrowth into the tube was dependent on the greatest distance that non-neuronal cells had grown into the matrix.
Uniqueness and nonuniqueness of the positive Cauchy problem for the heat equation on Riemannian manifolds

We investigate a uniqueness problem of whether a nonnegative solution of the heat equation on a noncompact Riemannian manifold is uniquely determined by its initial data. A sufficient condition for the uniqueness (resp. nonuniqueness) is given in terms of nonintegrability (resp. integrability) at infinity of -1 times a negative function by which the Ricci (resp. sectional) curvature of the manifold is bounded from below (resp. above) at infinity. For a class of manifolds, these sufficient conditions yield a simple criterion for the uniqueness.
ENSO-Conditioned Weather Resampling Method for Seasonal Ensemble Streamflow Prediction

Abstract. Oceanic–atmospheric climate modes, such as El Nino–Southern Oscillation (ENSO), are known to affect the local streamflow regime in many rivers around the world. A new method is proposed to incorporate climate mode information into the well-known ensemble streamflow prediction (ESP) method for seasonal forecasting. The ESP is conditioned on an ENSO index in two steps. First, a number of original historical ESP traces are selected based on similarity between the index value in the historical year and the index value at the time of forecast. In the second step, additional ensemble traces are generated by a stochastic ENSO-conditioned weather resampler. These resampled traces compensate for the reduction of ensemble size in the first step and prevent degradation of skill at forecasting stations that are less affected by ENSO. The skill of the ENSO-conditioned ESP is evaluated over 50 years of seasonal hindcasts of streamflows at three test stations in the Columbia River basin in the US Pacific Northwest. An improvement in forecast skill of 5 to 10 % is found for two test stations. The streamflows at the third station are less affected by ENSO and no change in forecast skill is found here.
Texture synthesis for stable planar tracking

We propose a texture synthesis method to enhance the trackability of a target planar object by embedding natural features into the object in the object design process. To transform an input object into an easy-to-track object in the design process, we extend an inpainting method for naturally embedding the features into the texture. First, a feature-less region in an input object is extracted based on feature distribution based segmentation. Then, the region is filled by using an inpainting method with a feature-rich region searched in an object database. By using context based region search, the inpainted region can be consistent in terms of the object context while improving the feature distribution.
ESTIMATING A RUNNER'S STRIDE LENGTH AND FREQUENCY FROM A RACE VIDEO BY USING GROUND STITCHING

This study estimated stride length and frequency of runners in a 100 m race video. One method for measuring stride length and frequency is using infrared sensors. However, this method is not applicable to real races since numerous markers with infrared-reflective material must be attached to the runner’s entire body. Therefore, we proposed a method using a race video. We generated a panoramic image of the 100 m track to estimate the distance of each frame from the start line. We detected the positions of the runner’s steps from the movement of the leg joints. We projected every step to the overview image of the 100 m track. In the experiment, we applied our method to the video of an IAAF World Championship Track and Field 100 m race and obtained data from Usain Bolt. As a result, we can automatically estimate stride length and frequency of real races.
"Wiser and Wider": An Analysis of DSD Treatment Protocol in the Netherlands and Practitioner and Patient Attitudes Towards Medical Care

The main objective of this study is to assess current medical practices in the Netherlands for the treatment of disorders of sexual development (DSD) through interviews with both medical practitioners and individuals diagnosed with these conditions. Data was obtained qualitatively through personal interviews with a pediatric endocrinologist, pediatric urologist, ethicist, and four men who have been diagnosed with Klinefelter's Syndrome. This study examines how institutional protocol aligns with individual practitioner's perception of ideal treatment as well as their own conceptions of sex and gender. This data is juxtaposed with the personal experiences and perspectives of several men diagnosed with Klinefelter's Syndrome in an attempt to provide a more holistic understanding of medical best practices. It is concluded that, in regards to DSD treatment teams, there have been several strides to meet the guidelines of the Consensus Statement of 2006, however there could be more efforts to incorporate a patient-centered model. Treatment of Klinefelter's Syndrome, on the other hand, lags very far behind that of specialized DSD medical care in regards to being care-focused.
Simple Sequence Repeat Marker Development and Mapping Targeted to Previously Unmapped Regions of the Strawberry Genome Sequence

The genome sequence of the woodland strawberry (Fragaria vesca L.) is an important resource providing a reference for comparative genomics studies and future sequenced rosaceous species and has great utility as a model for the development of markers for mapping in the cultivated strawberry Fragaria ×ananassa Duchesne ex Rozier. A set of 152 microsatellite simple sequence repeat (SSR) primer pairs was developed and mapped, along with 42 previously published but unmapped SSRs, permitting the precise assignment of 28.2 Mbp of previously unanchored genome sequence scaffolds (13% of the F. vesca genome sequence). The original ordering of F. vesca sequence scaffolds was performed without a physical map, using predominantly SSR markers to order scaffolds via anchoring to a comprehensive linkage map. This report complements and expands resolution of the Fragaria spp. reference map and refines the scaffold ordering of the F. vesca genome sequence using newly devised tools. The results of this study provide two significant resources: (i) the concurrent validation of a substantial set of SSRs associated with these previously unmapped regions of the Fragaria spp. genome and (ii) the precise placement of previously orphaned genomic sequence. Together, these resources improve the resolution and completeness of the strawberry genome sequence, making it a better resource for downstream studies in Fragaria spp. and the family Rosaceae.
Pattern Recognition in Brain FMRI for Agnosia

Learning disability (LD) is a neurological disorder caused by a dysfunction of the central nervous system. There are 3 major groups of learning disability including dyscalculia, dysgraphia, and dyslexia. Dyslexics have diculty with reading, writing, spelling, short term memory, personal organizational ability and spoken language. Nowadays, fMRI is widely used in studies of brain function, including reading and dyslexia, because fMRI is non invasive, safe, and can be used repeatedly, which is suitable for studying humans, especially children. The objective of this thesis is to develop software to analyze dyslexia brain fMRI images. The researcher used the Microsoft C sharp language to develop the software. Pattern recognition was used for classifying and calculating subjects’ image data. Three-dimensional reconstruction was used for presenting an image. We used 9 subjects, consisting of 6 normal and 2 abnormal subjects. The software classied as a 5 subjects as normal and 3 as abnormal. The software sensitivity was 85.71%, specicity was 100%, and accuracy was 88.89%.
Primary aerosol and secondary inorganic aerosol budget over the Mediterranean Basin during 2012 and 2013

Abstract. In the frame of the Chemistry-Aerosol Mediterranean Experiment (ChArMEx), we analyse the budget of primary aerosols and secondary inorganic aerosols over the Mediterranean Basin during the years 2012 and 2013. To do this, we use two year-long numerical simulations with the chemistry-transport model MOCAGE validated against satellite- and ground-based measurements. The budget is presented on an annual and a monthly basis on a domain covering 29 to 47° N latitude and 10° W to 38° E longitude. The years 2012 and 2013 show similar seasonal variations. The desert dust is the main contributor to the annual aerosol burden in the Mediterranean region with a peak in spring, and sea salt being the second most important contributor. The secondary inorganic aerosols, taken as a whole, contribute a similar level to sea salt. The results show that all of the considered aerosol types, except for sea salt aerosols, experience net export out of our Mediterranean Basin model domain, and thus this area should be considered as a source region for aerosols globally. Our study showed that 11 % of the desert dust, 22.8 to 39.5 % of the carbonaceous aerosols, 35 % of the sulfate and 9 % of the ammonium emitted or produced into the study domain are exported. The main sources of variability for aerosols between 2012 and 2013 are weather-related variations, acting on emissions processes, and the episodic import of aerosols from North American fires. In order to assess the importance of the anthropogenic emissions of the marine and the coastal areas which are central for the economy of the Mediterranean Basin, we made a sensitivity test simulation. This simulation is similar to the reference simulation but with the removal of the international shipping emissions and the anthropogenic emissions over a 50 km wide band inland along the coast. We showed that around 30 % of the emissions of carbonaceous aerosols and 35 to 60 % of the exported carbonaceous aerosols originates from the marine and coastal areas. The formation of 23, 27 and 27 %, respectively of, ammonium, nitrate and sulfate aerosols is due to the emissions within the marine and coastal area.
The limb-darkening for spherically symmetric NextGen model atmospheres: A-G main-sequence and sub-giant stars

We compute passband-integrated specific intensities for spherically symmetric models generated with the PHOENIX code. The models cover the range 5000 K ≤ Teff ≤ 10 000 K with surface gravities between 3.5 and 5.5, in steps of 0.5. The adopted mixing-length parameter is 2.0 pressure scale heights, while the microturbulent velocity is 2.0 km s −1 . T he calculations were carried out for four photometric systems: Stromgren, Johnson, Geneva and Walraven, completing 24 filters. The series introduced by Claret (2000) and a new bi-parametric (exponential) law are shown to be able to describe the intensity distribution of spherical models with acceptable σ. Simple limb-darkening laws do not produce accurate fits to the computed radiation fields. On the other hand, the concept of "quasi" spherical models is introduced and we present the corresponding limb-darkening coefficients for the most commonly adopted limb-darkening laws for the same filters.
Textual Content and Engagement Correlation Analysis with Naive Bayes

With the constant improvement of sentiment analysis software, it is possible to determine whether there is a correlation between the sentiment of the content and the content engagement. By combining two platforms we were able to prove that there is a moderate correlation between the content sentiment and content engagement. Furthermore, there are other correlations regarding numeric variables describing the properties of the content, like content length and title length compared to the content consummation and engagement. Determined values are showing strong negative correlation between the content length and content consummation. Content platform was Medium.com social network and software platform for sentiment determination was an online tool based on enhanced Naive Bayes model. For finding correlations we used the Pearson’s correlation coefficient because it gives information about the magnitude of the association, or correlation, as well as the direction of the relationship.