Miracle-dz/UniFAR-FTUs huggingface dataset:
EXCEPTIONAL PROGRESSIVE EVIDENCE OF ACCUMULATION FOR MULTI-USER IN CLOUD SURROUNDINGS

To the magnificent of our empathetic, no current lively Poss. supports this purpose. We advanced a peculiar tool admitted as HAT whatever is a superb authenticated network. We proposed the first-rate needs in multi-user distort storehouse organizations and on speaking terms the type of DE duplicatable changing Poss. As contrary to previously mentioned authenticated organizations, e.g. skip list and Merkle tree, we devise an unusual authenticated network accepted as Homomorphic Authenticated Tree, we current further report nearby PoS and productive PoS. Whenever a verifier must verify the purity of the file, it indiscriminately selects some square indexes from the file, and transmits the to the perplex waiter. Existing productive PoSs can't be drawn-out vis-a-vis the multi-user aura. Because of the complication of network diversification and tag period, extant organization can't be protracted to productive Poss. An operational multi-user distort depot structure needs the sure client-side mix-user deduplication approach, whichever enables everybody to skip the uploading alter and promote the effects from the files rapidly, when separate proprietors of the indistinguishable files have submitted the to the muddle hostess. to narrow the link cost both in the information of cache step and the deduplication step watches the same calculation cost. We demonstrate the safeness in our structure, and the logical search and preliminary results disclose that our structure is valuable used. Within this essay, we plan the idea of DE duplicatable productive information of storehouse and ask an adequate development common as Dipus, to realize progressive Pops and settle mix-user deduplication, concurrently.
Numerical aerodynamic of the rectangular wing concerning to ground effect

Numerical aerodynamic of the rectangular wing is presented regarding to the ground effect. Clark-Y wing section is selected for the present calculations. The Reynolds-averaged Navier-Stokes (RANS) equations solver of the ANSYS-CFX software is employed with a realizable k-e turbulent model. The numerical results lift and drag of the rectangular airfoil at ground effect are verified with the experimental data. Pressure distribution and velocity contour and turbulent intensity at the trailing edge of the airfoil are presented and discussed.
Penetration of Pacific zooplankton into the western Arctic Ocean tracked with molecular population genetics

Calanus glacialis is an ecologically important marine copepod found throughout the Arctic Ocean with limited distributions in the North Pacific and North Atlantic Oceans. We employed molecular techniques to determine the population genetic structuring of C. glacialis across the bound- aries of these 3 oceans. Examination of the DNA sequence of the 16S ribosomal RNA gene identified 2 predominant haplotypes which defined the Arctic and North Pacific (Bering Sea) populations. Advection from the Bering Sea into the Arctic as far as the western Canada Basin was detected, but C. glacialis from the Bering Sea was absent in the majority of Arctic Ocean samples. This indicates that C. glacialis from the Bering Sea was not reproductively established in the Arctic Ocean. Genetic divergence of Arctic and Bering Sea populations may have occurred during their isolation in the course of the Pleistocene glaciations, or, more recently, from unidirectional advection due to the northward current regime through the Bering Strait. Climate warming will increase opportunities for southern organisms to become established in the Arctic Ocean. The study of intraspecific genetic vari- ation of C. glacialis has great potential in aiding the early detection of such ecological change.
The Economics of Wagering Markets

Wagering markets provide a natural laboratory for testing models of market prices and behavior under uncertainty. The literature on wagering, albeit contentious, has established the following. First, prices set in these markets, to a first approximation, are efficient forecasts of outcomes. Second, price changes in these markets are driven by an informed class of bettors and improve prediction. Nevertheless, there are important departures from generic notions of market efficiency. Recent models focusing on diverse information, heterogeneous agents, and transaction costs help to explain these findings.
Economic Growth in a World of Ideas: Some Pleasant Arithmetic

Persistent trends in R&D intensity and educational attainment, in conjunction with the absence of any trend in per capita income growth, are inconsistent with the predictions of most growth models. Jones (American Economic Review, 92(1):220-39, 2002), has shown that the data are consistent with out-of-steady state predictions of his semi-endogenous growth model. This paper presents an alternative explanation: R&D intensity and educational attainment are rising because passive learning has become more difficult in the face of increasing technological complexity. We construct a model in which R&D and learning are substitutes and education facilitates on-the-job learning. The model presents an endogenous explanation for the observed increases in the inputs into knowledge creation, along with a rise in the skill premium. In contrast to Jones, our model does not predict that a dramatic decline in the growth rate of per capita income must follow the transition period. (JEL O40, E10)
129-135 Md-Zain BM.pmd

Asian elephants are classified as an endangered species on the IUCN red list, warranting more research and conservation efforts to protect them. A study of the distribution of haplotypes among Asian elephants in Peninsular Malaysia was performed using a partial DNA sequencing of a D-loop region. In this study, 10 haplotypes (Hap01–Hap10) were detected in Peninsular Malaysian populations with a high haplotype diversity (Ĥ ) of 83%. Hap01 was shared by Kelantan (n = 1), Johor (n = 2), Pahang (n = 2), and Perak (n = 2). The other shared haplotype was Hap06, which was evident in the Pahang (n = 1) and Johor (n = 1) samples. DnaSP analysis demonstrated that low genetic diversity (π) was observed in Peninsular Malaysian elephants (0.55%). Conversely, the gene flow was high (Nm = 9.65 migrants per generation). In a test of population subdivision, all pairwise comparisons for Peninsular Malaysia were low (0.00 to 0.13) except for Kelantan–Pahang (0.57). Our results demonstrated that the genetic diversity was low within the different populations of Peninsular Malaysia. The level of genetic differentiation was also low, but the gene flow was high regardless of the geographic distance of the Asian elephant populations in Peninsular Malaysia.
The scientists and their contribution to science education in Rio de Janeiro countryside schools

The objective of this work is to promote closeness between students and scientists, who never had contact, being geographically distant from each other, through interactive actions by videoconference. Attended by 30 high school students from a countryside school in the state of Rio de Janeiro (BR), Paty do Alferes. Two simple questions were selected to be answered experimentally in the school laboratories and two Scientists participated the experimental activity, in real time. A semi-structured interview was conducted with students. The results show two anchors in the student’s discourse: (i)the humanization of the scientist; (ii)science driven by questions. The data also suggest the need rapprochement between scientist-school, to bridge the gap between science and the school community for the implementation of effective science education. Keywords: Science Education; research ; experimentation; videoconferencing
What is the burden of illness in patients with reflux disease in South Africa? : research article

Objectives:l/Ig To describe the impact of heartburn on patients' Health-Related Quality of Life (HRQL) in South Africa. lbrglIgDesign:l/Ig Survey of patient-reported outcomes and physician-assessed symptoms. lbrglIgSetting:l/Ig South African, major referral gastroenterology clinic. lbrglIgSubjects:l/Ig Consecutive patients with predominant symptoms of heartburn. Outcome measures: Patients completed the Afrikaans versions of the Gastrointestinal Symptom Rating Scale (GSRS), the Quality of Life in Reflux and Dyspepsia questionnaire (QOLRAD) and the Short Form Health-36 (SF-36). Physician-assessed frequency and severity of heartburn during the previous 7 days were also recorded. lbrglIgResults:l/Ig 125 patients with symptoms of heartburn (age: M=46.0 [ + 12 years]; females= 74%, 87% mixed race) completed the Afrikaans translation of GSRS, the QOLRAD and the Short-Form-36 (SF-36). Patients were bothered most by symptoms of reflux (mean GSRS score of 4.9, on a scale of 1 [not bothered] to 7 [very bothered]), indigestion (4.0) and abdominal pain (4.0). As a result of their symptoms, important reflux related aspects of life, such as problems with food and drink (3.5), emotional distress (3.6), impaired vitality (3.7), sleep disturbance (3.8) and impaired physical / social functioning (4.3) were experienced (QOLRAD scores where 1 represents the most severe impact on daily functioning and 7 no impact). Overall HRQL measured by the SF-36 was poor across all domains and was significantly lower compared to the UK general population. lbrglIgConclusions:l/Ig There is consistent evidence that GERD symptoms substantially impair all aspects of HRQL in this mixed race South African population referred to this central clinic.
An Improved Fractional-Order Optical Flow Model for Motion Estimation

The Horn and Schunck (HS) optical flow model cannot preserve discontinuity of motion estimation and has low accuracy especially for the image sequence, which includes complex texture. To address this problem, an improved fractional-order optical flow model is proposed. In particular, the fractional-order Taylor series expansion is applied in the brightness constraint equation of the HS model. The fractional-order flow field derivative is also used in the smoothing constraint equation. The Euler-Lagrange equation is utilized for the minimization of the energy function of the fractional-order optical flow model. Two-dimensional fractional differential masks are proposed and applied to the calculation of the model simplification. Considering the spatiotemporal memory property of fractional-order, the algorithm preserves the edge discontinuity of the optical flow field while improving the accuracy of the estimation of the dense optical flow field. Experiments on Middlebury datasets demonstrate the predominance of our proposed algorithm.
Calibrating aquatic microfossil proxies with regression-tree ensembles Salonen, J Sakari

We examine the ability of four different regression-tree ensemble techniques (bagging, random forest, rotation forest, boosted tree) in calibration of aquatic microfossil proxies. The methods are tested with six chironomid and diatom datasets, using a variety of cross-validation schemes. We find random forest, rotation forest and the boosted tree to have a similar performance, while bagging performs less well and in several cases has trouble producing continuous predictions. In comparison with commonly-used parametric transfer-function approaches (PLS, WA, WA-PLS), we find that in some cases tree-ensemble methods outperform the best-performing transfer-function technique, especially with large datasets characterized by complex taxon responses and abundant noise. However, parametric transfer functions
Redesigned Adult Learning To Create An Environment Of Deep Understanding Of The Danielson Framework for Teaching And The Shifts Required To Lead Students To Excellence

i PREFACE.ii TABLE OF CONTENTS. iii LIST OF TABLES . v LIST OF FIGURES . vi SECTION ONE: INTRODUCTION . 1 Statement of the Problem . 1 Rationale . 4 Goals . 7 Demographics . 8 SECTION TWO: ASSESSING THE 4 C’S (AS-IS) . 10 Arenas of Change . 10 SECTION THREE: RESEARCH METHODOLOGY . 19 Research Design Overview. 19 Participants . 20 Data Collection and Analysis . 21 Data Analysis. 21 SECTION FOUR: RELEVANT LITERATURE . 22 Introduction . 23 A Conversation about the Framework . 24 Teaching and Learning . 26 Student Growth and Teacher Quality . 32 Change Challenges for Shifts in the Learning Environment . 33 SECTION FIVE: DATA ANALYSIS AND INTERPRETATION . 36 Introduction . 36 Competency . 36 Conditions . 39 Culture . 41 Context. 44 Perspectives . 45 Principal and Superintendent Perspectives . 46 Qualitative Data Themes . 50 SECTION SIX: A VISION OF SUCCESS (TO BE) . 53 Arenas of Change . 53 Context for Success. 54 Culture for Success . 55 Conditions for Success . 55 Competencies for Success . 56 iv SECTION SEVEN: STRATEGIES AND ACTIONS . 58 Bridging the As-Is, To-Be Gap . 58 Professional Development . 58 Leadership Strategies . 59 Communication Strategies . 60 Strategies and Actions . 63 REFERENCES . 66 APPENDICES . 70 Appendix A: Teachscape Score Tree Map . 71 Appendix B: 2015-16 District Teacher Evaluation Plan . 72 Appendix C: Interview Questions . 77 Appendix D: MAP Math RIT Scores . 78
Conhecimento sobre o tratamento farmacológico em pacientes com doença renal crônica

The suitable patients' medication knowledge is a essential factor for the medication compliance. The level of medication knowledge in patients with chronic kidney disease (CKD) and the medication knowledge associated factors were assessed in a cross-sectional study performed with 130 subjects from a nephrology outpatient university clinic, continuously taking some self-administered drug from the C, H02 or L04 groups of the Anatomical Therapeutic Chemical classification system and who were not on a kidney replacement therapy. The level of medication knowledge was measured through a researcher-administered questionnaire and a score ranking from zero to ten points. Three levels of knowledge were defined: low (less than six points), moderate (six to eight points) and high (more than 8 points). The patients' medication knowledge average score was 7.8 ± 1.7 points and 51.5% of the patients showed low or moderate level of knowledge. The factors associated to the high level of medication knowledge were: fast decline of the glomerular filtration rate, control of the blood pressure and the patients' belief that they suffered adverse drug reaction to any of the prescribed medicines. Most patients had insufficient knowledge for a safe and effective use of prescribed medicines, so a better patient counseling is necessary.
Sponge-associated fungi and their bioactive compounds : The Suberites case

Specimens of Suberites domuncula that had been cultured in aquaria for 4 weeks were analyzed for their associated fungi. A total of 81 fungal strains belonging to 20 different genera was isolated and identified by morphological and molecular methods. The most frequently isolated taxa were Cladosporium spp. , Penicillium spp. , Petriella sp. , Phialophora spp. and Engyodontium album. Based on chromatographic and mass spectrometric analysis of fungal extracts, as well as on bioassay results, Aspergillus ustus, Penicillium sp. , Petriella sp. and Scopulariopsis sp. were selected for in-depth analysis of their natural products. A total of 19 different fungal metabolites, including three new natural products, was isolated and structurally identified. A. ustus yielded two sesquiterpenes, a drimane derivative and deoxyuvidin, as well as a sesterterpene ophiobolin H. The drimane derivative had an ED50 value against L5178Y cells of 1.9 mu g ml(-1) in vitro. The crude extract of Petriella sp. was also strongly cytotoxic against the L5178Y cell line. The cyclic tetrapeptide WF-3161 was primarily responsible for the activity; the ED50 value was <0.1 mu g ml(-1). It was identical to the known compound WF-3161 and had been previously isolated from Petriella guttulata. In addition to WF-3161, three further natural products were obtained and unequivocally identified as new derivatives of infectopyrone by one-and two-dimensional NMR spectroscopy and by mass spectroscopy. Of the new compounds, only dihydroinfectopyrone was active against L5178Y cells; the ED50 value was 0.2 mu g ml(-1). Penicillium sp. yielded the largest number of metabolites. Viridicatin, viridicatol, cyclopenin and cyclopenol suppressed larval growth of the polyphagous pest insect Spodoptera littoralis when incorporated into an artificial diet at an arbitrarily chosen concentration of 237 ppm. Viridicatol was the most active compound and had an ED50 value of ca. 50 ppm. Scopulariopsis sp. yielded three metabolites, including the known acetylcholinesterase inhibitors quinolactacin A1 and A2.
Bias Reduction for Nonparametric and Semiparametric Regression Models

Nonparametric and semiparametric regression models are useful statistical regression models to discover nonlinear relationships between the response variable and predictor variables. However, optimal efficient estimators for the nonparametric components in the models are biased which hinders the development of methods for further statistical inference. In this paper, based on the local linear fitting, we propose a simple bias reduction approach for the estimation of the nonparametric regression model. Our approach does not need to use higher-order local polynomial regression to estimate the bias, and hence avoids the double bandwidth selection and design sparsity problems suffered by higher-order local polynomial fitting. It also does not inflate the variance. Hence it can be easily applied to complex statistical inference problems. We extend our approach to varying coefficient models, to estimate the variance function, and to construct simultaneous confidence band for the nonparametric regression function. Simulations are carried out for comparisons with existing methods, and a data example is used to investigate the performance of the proposed method.
Precision of Hard Structures Used to Estimate Age of Mountain Whitefish (Prosopium williamsoni)

Abstract. The mountain whitefish (Prosopium williamsoni) is a widely distributed salmonid in western North America that has decreased in abundance over portions of its distribution due to anthropogenic disturbances. In this investigation, we examined precision of age estimates derived from scales, pectoral fin rays, and sagittal otoliths from 167 mountain whitefish. Otoliths and pectoral fin rays were mounted in epoxy and cross-sectioned before examination. Scales were pressed onto acetate slides and resulting impressions were examined. Between-reader precision (i.e., between 2 readers), between-reader variability, and reader confidence ratings were compared among hard structures. Coefficient of variation (CV) in age estimates was lowest and percentage of exact agreement (PA-0) was highest for scales (CV = 5.9; PA-0 = 70%) compared to pectoral fin rays (CV =11.0; PA-0 = 58%) and otoliths (CV = 12.3; PA-0 = 55%). Median confidence ratings were significantly different (P ≤ 0.05) among all structures, with scales having the highest median confidence. Reader confidence decreased with fish age for scales and pectoral fin rays, but reader confidence increased with fish age for otoliths. In general, age estimates were more precise and reader confidence was higher for scales compared to pectoral fin rays and otoliths. This research will help fisheries biologists in selecting the most appropriate hard structure to use for future age and growth studies on mountain whitefish. In turn, selection of the most precise hard structure will lead to better estimates of dynamic rate functions.
STUDY THE QUALITY PROPERTIES, SENSORY EVALUATION AND VOLATILE COMPONENTS OF OLIVE OIL IN SAUDI ARABIA

Saudi extra virgin olive oil is considered to be the best olive oil for its quality indices, minor components, and oxidative stability. The objective of this study was to analyze some quality indices (acid value, peroxide value and UV absorption K232 and K270 nm) of virgin olive oil of three varieties (Picual, Surani and Coratina) form Al–Jouf region, Kingdom of Saudi Arabia. Also, organoleptic tests, minor components (Phenolic content, orthodiphenol, α–tocopherol, bitter index, chlorophyll content and carotenoid content) and oxidative stability measured by Rancimat method at 100oC ± 2oC were determined. Fatty acid composition, phenolic fraction and volatile compounds of virgin olive oil samples were analyzed by gas chromatography (GC), high performance liquid chromatography (HPLC) and gas chromatography mass spectrum (GC–MS) systems. Results showed that significant differences between olive oil samples extracted from (Picual, Surani and Coratina) varieties.
Multiscale cross-correlations and triangular arbitrage opportunities in the Forex

Multifractal Detrended Cross-Correlation methodology is applied to the foreign exchange (Forex) market. High frequency fluctuations of exchange rates of eight major world currencies over the period 2010--2018 are used to study cross-correlations. The currencies include the Australian dollar, Canadian dollar, Swiss franc, euro, British pound sterling, Japanese yen, New Zealand dollar and US dollar. Dominant multiscale cross--correlations between the exchange rates are found to typically occur on the level of small and medium size fluctuations. Hierarchical organization of ties between the exchange rates, formulated in terms of the dendrograms, are however more pronounced on the level of larger fluctuations. The cross--correlations are quantified to be stronger on average between those exchange rate pairs that are bound within triangular relation. Some pairs from outside the triangular relation are however identified to be exceptionally strongly correlated as compared to the average strength of correlations in this sector. This in particular applies to those exchange rates that involve the Australian and New Zealand dollars and reflects their economic relations. Significant events with impact on the Forex are shown to induce triangular arbitrage opportunities which at the same time reduce cross--correlations on the smallest time scales and act destructively on the multiscale organization of correlations. In the years 2010--2018 such instances took place in connection with the Swiss National Bank intervention and the weakening of British pound sterling accompanying the initiation of Brexit procedure.
Monte Carlo Simulation on the Stiefel Manifold via Polar Expansion

Abstract Motivated by applications to Bayesian inference for statistical models with orthogonal matrix parameters, we present a general approach to Monte Carlo simulation from probability distributions on the Stiefel manifold. To bypass many of the well-established challenges of simulating from the distribution of a random orthogonal matrix we construct a distribution for an unconstrained random matrix X such that the orthogonal component of the polar decomposition of is equal in distribution to The distribution of X is amenable to Markov chain Monte Carlo (MCMC) simulation using standard methods, and an approximation to the distribution of Q can be recovered from a Markov chain on the unconstrained space. When combined with modern MCMC software, polar expansion allows for routine and flexible posterior inference in models with orthogonal matrix parameters. We find that polar expansion with adaptive Hamiltonian Monte Carlo is an order of magnitude more efficient than competing MCMC approaches in a benchmark protein interaction network application. We also propose a new approach to Bayesian functional principal component analysis which we illustrate in a meteorological time series application. Supplementary materials for this article are available online.