Miracle-dz/UniFAR-FTUs huggingface dataset:
Cost of Practice Transformation in Primary Care: Joining an Accountable Care Organization.

The purpose of this study is to examine the costs related to practice transformation from the perspective of primary care organizations transitioning to become participants in Accountable Care Organizations (ACOs). We pose two research questions: 1) Will a Rural Health Clinic that participates in an Accountable Care Organization see higher or lower cost per visit, and 2) If the cost per visit is higher or lower, how large will that difference be? We analyze administrative data from a panel of over 800 Rural Health Clinics for the period 2007 - 2013 using a treatment effects approach, where a clinic's participation in an ACO is viewed as a "treatment. " Since the first year that an RHC could join an ACO was 2012 and our most recent year of complete data is 2013, we restricted our analysis of the impact of participation in an ACO to include only 2012 and 2013 data. The estimates of the average treatment effect on the treated (ATET) pertain to only those RHCs that joined ACOs. The results show that those 20 sample ACO RHCs experienced an average from $15.00 to $18.61 higher cost per visit than the matching non-ACO RHCs. At this very early stage of ACO development, our results must be considered very preliminary at best. Whatever conclusions we draw from these results are intended to merely suggest what might be found once many more RHCs join ACOs. The conclusions we draw from this early analysis can lay a foundation for more analysis after data are available when more RHCs join ACOs.
Fuel Saving Potentials of HDVs through Platooning based on Real GPS Traces

In the last years, the increase of the fuel price and the need to reduce the greenhouse gas emissions have triggered the research on lowering the fuel consumption within the transport sector. The research not only involves the development of more efficient engines but also the exploration of new transportation paradigms. One promising approach is to create vehicle platoons, i.e. convoys of vehicles driving close to each other. Vehicles driving close behind benefit from the reduction of the air drag and hence their overall fuel consumptions are reduced. This work focuses on studying platoons of heavy-duty vehicles (HDVs). More specifically, the work analyzes real position data of an HDV fleet from one manufacturer. The objective is to determine the potentials to reduce the fuel consumption of the fleet through platoon formations, using low sampled GPS traces obtained from the fleet management system. Map matching and path inference algorithms have been developed to reconstruct the path of the vehicles on a given road network. The reconstructed paths are used to analyze the vehicles’ positions and inter-vehicle distances. Results show that the vehicles are widely spread. The average distance to the closest vehicle is greater than 20km, which limits the platoon opportunities. Although with limited platoon opportunities, potential fuel savings up to 0.14% of the whole fleet’s consumption have been obtained. Results suggest that fuel savings can be largely improved if the density of vehicles in the road network is increased.
Linking basin‐scale and pore‐scale gas hydrate distribution patterns in diffusion‐dominated marine hydrate systems

The goal of this study is to computationally determine the potential distribution patterns of diffusion‐driven methane hydrate accumulations in coarse‐grained marine sediments. Diffusion of dissolved methane in marine gas hydrate systems has been proposed as a potential transport mechanism through which large concentrations of hydrate can preferentially accumulate in coarse‐grained sediments over geologic time. Using one‐dimensional compositional reservoir simulations, we examine hydrate distribution patterns at the scale of individual sand layers (1–20 m thick) that are deposited between microbially active fine‐grained material buried through the gas hydrate stability zone (GHSZ). We then extrapolate to two‐dimensional and basin‐scale three‐dimensional simulations, where we model dipping sands and multilayered systems. We find that properties of a sand layer including pore size distribution, layer thickness, dip, and proximity to other layers in multilayered systems all exert control on diffusive methane fluxes toward and within a sand, which in turn impact the distribution of hydrate throughout a sand unit. In all of these simulations, we incorporate data on physical properties and sand layer geometries from the Terrebonne Basin gas hydrate system in the Gulf of Mexico. We demonstrate that diffusion can generate high hydrate saturations (upward of 90%) at the edges of thin sands at shallow depths within the GHSZ, but that it is ineffective at producing high hydrate saturations throughout thick (greater than 10 m) sands buried deep within the GHSZ. Furthermore, we find that hydrate in fine‐grained material can preserve high hydrate saturations in nearby thin sands with burial.
Peer Observation as a Means to Develop Teachers’ Professionalism

The emergence of reflective practice in promoting teacher professional development has been discussed in many literatures. Research studies showed the benefits of conducting reflective practice to improve teachers’ classroom instruction. Peer observation as one of the reflective practice activities is viewed as an effective strategy in developing teachers’ pedagogy and professional competences. Peer observation refers to the act of teachers collaborate to identify the strength and the weakness of their teachings. By doing so, it is expected there will be improvement in learning outcomes. This study explored EFL teachers’ perceptions on peer observation as means to develop teachers’ professionalism. Two EFL teachers who worked as English teachers were purposively selected as the respondents of the study. The participating teachers got at least 1 year teaching experience to assure their involvement in peer observation. To meet the objectives of the study, the data were gained through classroom observation, and followed by in depth interview. Then, they were analyzed by using interactive model data analysis for qualitative study. The results of the study indicated teachers’ positive perceptions on peer observation as professional development tool. Peer observation brought some benefits for teachers. It helped teachers solve the problems they encountered in their teachings, instead it also could be used as learning opportunity by observing new teaching method/strategy from other colleagues.
DATA ANALYSIS MODELS OF INDOOR POLLUTION

Chemical air pollution may be several times higher in our living environment than in the busiest street. Usually just outdoor air quality is repeatedly tracked. The public is being immediately informed in the case of hazard, while pollution monitoring in private properties is exclusively its residents concern. This paper presents data analysis models, designed for problems of indoor pollution reduction with lightened decision making and motivation. The models were developed using applied statistics methods (discriptive statistics, analysis of variance, nonparametric tests, correlation, cluster analysis, and decision trees) as well as multidimensional reporting and visualisation. The developed system is used for the analysis of indoor pollution of East European city (Kaunas, Lithuania). It enables to analyse the relationships and dependencies between various factors (e.g. number of residents, CO 2 , NO 2 , benzene, toluene, ethylbenzene, xylene, formaldehyde, radon) and use the results for the
Plasma parameter analysis of the Langmuir decay process via Particle-in-Cell simulations

Abstract. The beam-plasma mechanism, based on the Langmuir decay process, has been proposed to explain naturally enhanced ion-acoustic lines (NEIALs), which are spectral distortions in incoherent scatter radar (ISR) data frequently observed in the vicinity of auroral arcs. In this work the effect of the Langmuir decay process on the ISR spectrum is studied and compared with an analytical model for different plasma parameters by using an electrostatic parallel particle-in-cell (EPPIC) code. Simulations show that the code is working in accordance with theory for a wide range of beam and plasma values and that the features of the spectrum are sensitive to changes of those values. These results suggest that the EPPIC code might be used to build a spectrum-plasma parameter model which will allow estimation of beam and plasma parameters from observed spectra. Simulations also confirm that background electron density ( n e ) plays an important role in determining the maximum detectable wavenumber of the enhancement. Specifically, results demonstrate that an increase in n e makes the enhancements of the ion acoustic more likely line at large wavenumbers, a finding consistent with statistical studies showing more frequent NEIAL occurrence near solar maximum. Finally, the simulations expose some inaccuracies of the current theoretical model in quantifying the energy passed from the beam to the Langmuir waves as well as with the range of enhanced wavenumbers. These differences may be attributable to the weak Langmuir turbulent regime assumption used in the theory.
Forecasting Movie Box Office Profitability

This study intends to estimate the profit of a movie through the construction of a predictive model that uses several Data Mining techniques, namely neural networks, regression and decision trees. The model will allow obtaining the prediction of box office revenue. Three different dependent variable approaches were used (interval, categorical and binary) aiming to study the difference and predictive influence that each one has on the results. Two metrics were used to determine the most accurate predictions: the misclassification error for the categorical models and the average squared error for the continuous one. In this study, the best predictive results were obtained through the use of multi-layer perceptron. Regarding the representative distinction between the dependent variable, the multiclass model presents a much higher error rate comparing to the remaining ones, which is explained with the increase of the number of classes to predict.
The 2dF Galaxy Redshift Survey: correlation functions, peculiar velocities and the matter density of the Universe

We present a detailed analysis of the two-point correlation function, xi(sigma, pi), from the 2dF Galaxy Redshift Survey (2dFGRS). The large size of the catalogue, which contains similar to220 000 redshifts, allows us to make high-precision measurements of various properties of the galaxy clustering pattern. The effective redshift at which our estimates are made is z(s) approximate to 0.15, and similarly the effective luminosity, L-s approximate to 1.4L*. We estimate the redshift-space correlation function, xi(s), from which we measure the redshift-space clustering length, s(o) = 6.82 +/- 0.28 h(-1) Mpc. We also estimate the projected correlation function, Xi(sigma), and the real-space correlation function, xi(r), which can be fit by a power law (r/r(o))(-gamma), with r(o) = 5.05 +/- 0.26 h(-1) Mpc, gamma(r) = 1.67 +/- 0.03. For r greater than or similar to 20 h(-1) Mpc, xi drops below a power law as, for instance, is expected in the popular Lambda cold dark matter model. The ratio of amplitudes of the real- and redshift-space correlation functions on scales of 8-30 h(-1) Mpc gives an estimate of the redshift-space distortion parameter beta. The quadrupole moment of xi(sigma, pi) on scales 30-40 h(-1) Mpc provides another estimate of beta. We also estimate the distribution function of pairwise peculiar velocities, f (nu), including rigorously the significant effect due to the infall velocities, and we find that the distribution is well fit by an exponential form. The accuracy of our xi(sigma, pi) measurement is sufficient to constrain a model, which simultaneously fits the shape and amplitude of xi(r) and the two redshift-space distortion effects parametrized by beta and velocity dispersion, a. We find beta = 0.49 +/- 0.09 and a = 506 +/- 52 km s(-1), although the best-fitting values are strongly correlated. We measure the variation of the peculiar velocity dispersion with projected separation, a(or), and find that the shape is consistent with models and simulations. This is the first time that beta and f (v) have been estimated from a self-consistent model of galaxy velocities. Using the constraints on bias from recent estimates, and taking account of redshift evolution, we conclude that beta(L = L*, z = 0) = 0.47 +/- 0.08, and that the present-day matter density of the Universe, Omega(m) approximate to 0.3, consistent with other 2dFGRS estimates and independent analyses.
THE ROLE OF CONTEXT IN THE VISUAL IDENTIFICATION OF OBJECTS ULOGA KONTEKSTA U VIZUALNOJ IDENTIFIKACIJI OBJEKTA

The goal of this study was to determine the degree of information needed for humans to attain complete object recognition from a scene, based on the object’s local image versus degree of available contextual information. For that purpose, test subjects were presented with a series of masked objects, both in and out of context. It was hypothesized that context would strongly influence the ability of test subjects to recognize objects within a scene. A total of 15 object images from three separate image collections were used, which were presented to some subject’s in-context and to other subject’s out-of-context. There were a total of 10 subjects, and subject selection for the two groups was non-randomized. A total of 5 subjects were presented with in-context images. Each presentation was displayed to the test subject long enough for complete recognition of the object to take place. A slide show was used to present the objects manually, where the automatic image changer was disabled so the image transition could be controlled by the subject. The subject’s total exposure time to each image was roughly 30 to 60 seconds, on average. In support of the initial hypothesis, the experiment revealed that the presence of context facilitates object recognition. The results for the experiment can be seen in table 2 and the graphed results can be observed in figure 3. As the data show, there is a strong tendency for contextual clues to assist in the speed and accuracy of object recognition. A dynamic masking capability, allowing for the application of various types of masks to a region of interest (ROI) containing the object could be identified. The system could be explored and expanded widely in order to allowing recognition to be based solely on the degree to which the object under consideration is obscured by its mask.
An Overview of the Square Kilometre Array

The Square Kilometre Array (SKA) will be the premier instrument to study radiation at centimetre and metre wavelengths from the cosmos, and in particular hydrogen, the most abundant element in the universe. The SKA will probe the dawn of galaxy formation as well as allow advances in many other areas of astronomy, such as fundamental physics, astrobiology and cosmology. Phase 1, which will be about 10% of the full SKA collecting area, will be built in Australia and South Africa. This paper describes the key science drivers of the SKA, provides an update on recent SKA Organisation activities and summarises the baseline design for Phase 1.
The Role of Liquid Fuels Channel Configuration on the Combustion inside Cylindrical Mesoscale Combustor

This research intended to investigate combustion of liquid fuel in 3.5 mm inner diameter quartz glass tube mesocombustor, based on liquid film evaporation by using heat recirculation. The mesocombustor has a copper section for heating and evaporating the liquid fuel. In mesocombustor type A, the fuel was glided through the narrow canal in the copper wall while the air was glided through the axial of combustor. The flame could only be successfully stabilized in high-ratio equivalent ranging from to , due to the gap without combustion reaction caused by high air-fuel mixture over the limits of flame stability. Mesocombustor type B, which has annulus-shaped canal, could shift the flame stability from to ; however, it also narrowed the limits of flame stability due to the wall cooling. In mesocombustor type C, both liquid fuel and air were glided through the annulus-shaped canal in the copper wall to fix the fuel evaporation and air mixture. The flame of type C was successfully stabilized, from to wider than types A and B. The flame of type C mesocombustor is circle-shaped and fitted to cross section of mesocombustor, but it still has thin gap without any flames due to thermal quenching by the wall.
Tribological studies of composite material based on CuZn38Al2Mn1Fe brass strengthened with δ-alumina fibres

The results of tribological studies (friction coefficient, wear resistance) of the frictional couple of composite material based on CuZn38Al2Mn1Fe brass strengthened with δ-alumina fibres (Saffil) and cast iron are shown in this paper. The wear investigations were conducted applying the tribological pin-on-disc tester and the friction forces between composite materials containing 10 and 20 vol. % of δ-alumina fibres (Saffil) and cast iron were registered. Wear was determined on the base of the specimen mass loss after 1, 3,5 and 8.5 km of friction distance.
Identification of handloom and powerloom fabrics using proximal support vector machines

This study endeavors to recognize handloom and powerloom products by means of proximal support vector machine (PSVM) using the features extracted from gray level images of both fabrics. A k-fold cross validation technique has been applied to assess the accuracy. The robustness, speed of execution, proven accuracy coupled with simplicity in algorithm hold the PSVM as a foremost classifier to recognize handloom and powerloom fabrics.
Micromorphology and anatomy of fruits and seeds of bitter melon (Momordica charantia L., Cucurbitaceae)

The aim of this paper is investigating the micromorphological properties of fruits and seeds in the food and medicinal plant Momordica charantia L. (Cucurbitaceae). A detailed anatomical description on cross-sections of immature fruits and seeds is reported for the first time. The fruit is characterized by a thin epicarp, a multi-layered mesocarp and by an inconspicuous endocarp. The seed-coat displays a pattern of organization in five tissues. These endomorphic features were compared and discussed with the results of previous investigations on other representatives of the genus Momordica . Since the structure of seed-coat is considered diacritical in the taxonomy of the genus, this report may offer a set of additional character useful for the characterization of the genus.
Genetic variability of Brazilian phytoplasma and spiroplasma isolated from maize plants

The objective of this work was to characterize the genetic variability of phytoplasma and Spiroplasma kunkelii isolated from maize plants showing symptoms of stunt collected from different Brazilian geographic regions. A DNA fragment of 500 base pairs (bp) was amplified from the spiralin gene in S. kunkelii and one fragment of 1,200 bp was generated from 16S rDNA gene in phytoplasma. The partial sequences of the spiralin gene showed similarity of 98% among the isolates of S. kunkelii analyzed. These sequences were compared with the sequence of the spiralin gene from other Spiroplasma species deposited in the GenBank, resulting in a similarity varying from 76.9% to 88.1%. The 16S rDNA sequence from the phytoplasma were completely similar within the Brazilian isolates and showed up to 98% of the similarity with sequences already found from other phytoplasmas. A very narrow genetic variability was detected by these gene fragments within phytoplasma and Spiroplasma analyzed. However, other genomic regions with higher polymorphic levels shall be identified in order to better evaluate the genetic diversity within these microorganisms population.
RELATIONS BETWEEN LANDSAT ETM+ IMAGERY AND FOREST STRUCTURE PARAMETERS IN TROPICAL RAINFORESTS: A CASE STUDY FROM LORE-LINDU NATIONAL PARK IN SULAWESI, INDONESIA

Forest structure parameters such as diameter at breast height (DBH), tree height (H), stem density (STDENS), basal area (BA) and crown extension (CROWEX) are major variables of a forest inventory, which can also be investigated using satellite data. Remote sensing is often the only practical means of acquiring information on these variables over large areas, particularly in tropical regions with inaccessible terrain. This paper investigates the suitability of LANDSAT ETM+ imagery for remote estimation of forest structure parameters in a tropical rainforest, namely the Lore-Lindu National Park in Central Sulawesi, Indonesia. All LANDSAT ETM+ bands (except the 6 th band) and four multi-spectral vegetation indices derived from these bands were examined for their performance to express the forest structure parameters DBH, H, STDENS, BA, and CROWEX. The field data used for the correlation and regression analysis were collected from 60 plots throughout the area. The study showed that middle-infrared wavelengths of LANDSAT (bands 5 and 7) were best correlated with the forest structural parameters and could be used for prediction of DBH, H, BA and CROWEX. The tree height was predicted most reliably, while predictions of diameter at breast height, basal area and crown extension were less accurate. Stem density could not be predicted with sufficient accuracy from canopy reflectance only. The vegetation indices derived from red and near-infrared wavelengths (bands 3 and 4) such as the normalised difference vegetation index and the simple ratio were weakly correlated with the selected forest parameters. The vegetation indices incorporating band 5 showed much stronger correlations with forest parameters. The results revealed a great potential for the estimation of forest structure parameters with satellite optical data in tropical regions, where an extensive field survey is not feasible.
Genética de poplaciones de Atta sexdens rubropilosa (Hymenoptera: Formicidae)

The genetic variability of Atta sexdens rubropilosa leaf-cutting ants collected from five brazilian localities was evaluated with PCR-RAPD technique. We used 15 primers producing 148 fragments of which 123 (83.11 %) contained polymorphisms. The estimated Shannon index was 0.3836 ± 0.2335 showing that these ants possess high genetic diversity. The G ST value was 0.2372 and ΦPT = 0.184, indicating that the analyzed populations are moderately differentiated and 82 % of the variation obtained occur within populations. Although Mantel’s test had shown correlation between genetic distances and geographic was observed that Ivatuba and Itambe (33.8 km) have the small geographical distance and the largest genetic distance. The lower genetic distance was estimated for Maringa and Ivatuba but this localities have a small geographic distance (42.3 km), indicating that there are no barriers for mating among reproducers in these populations. The high degree of polymorphism (83.11 %) and the ability to cross among the populations in the studied regions indicate that this species of leaf-cutting ant is well adapted to the region; therefore, integrated control programs can be developed.
Biosynthesis of very long chain polyunsaturated fatty acids in the leafy vegetable chicory

-desaturase gene. PCR showed the presence of the transgenes within the genome of selected plants, with RT-PCR confirming gene expression. Gas Chromatography of fatty acid methyl esters extracted from freeze-dried leaves of transgenic plants quantified the synthesis of omega-6 arachidonic acid and its precursors eicosadienoic and dihomo-γ-linolenic acids, and omega-3 eicosapentaenoic acid together with its precursors eicosatrienoic and eicosatetraenoic acids. This is the first report of the production of VLCPUFAs in a leafy vegetable. Since VLCPUFAs are the precursors of prostaglandins, the formation of prostaglandins was also investigated in chicory following a second transformation event using the PGHS-1 gene from