Miracle-dz/UniFAR-FTUs huggingface dataset:
Paper ID ICLASS06-045 LES WITH STOCHASTIC SIMULATION OF PRIMARY AND SECONDARY AIR-BLAST ATOMIZATION

A stochastic model of primary and secondary air-blast atomization in a high Weber number turbulent spray is presented in this paper. The stochastic scenario is based on assumption of the fragmentation under scaling symmetry. The specific stochastic particles, called "floating cutter particles", are introduced in order to simulate the statistics of liquid volume fraction in close-to-injector region. In simulation of secondary atomization and coalescence, the main mechanism is addressed to inter-drop collision, from which the produced droplets are simulated stochastically. The spray model is coupled with LES in turbulent gaseous flow with conditioning on the liquid fraction in vicinity of injector. The results of computation are compared with measurements in near-and-far fields of spray.
Credit Risk Assessment of Receivable Accounts in Industry Chain based on SVM

Industrial chain finance is a financial innovation that can effectively integrate the financial needs of the upstream and downstream enterprises. The rapid development of industry chain finance has put forward higher requirements for corresponding risk management. Among them, how to evaluate the credit risk of industrial chain receivable accounts is a key link of industrial chain financial risk management. For the small sample size in a single industry chain, a support vector machine (SVM) suitable for small sample learning is introduced to assess the credit risk. The credit risk evaluation index system for the industrial chain accounts receivable is constructed by principal component analysis of the financial data. V-SVR (Support Vector Regression) model is employed to evaluate principal component of the receivable accounts in telecom industry chain. By comparing the evaluation results with historical data, it is found that the model can well predict the credit risk of commercial banks, and has higher prediction accuracy than Logistic model.
Investigating the influence of music training on verbal memory

Previous research has shown that musical training is associated with enhanced verbal memory. The current study investigated the generality of this association by presenting undergraduates who had received musical training (n = 20) and undergraduates with no formal music training (n = 20) with four types of word list; high visual imagery, high auditory imagery, high tactile imagery, and abstract. Those who had received music training showed enhanced memory for all word lists, suggesting that music training leads to a general enhancement in verbal memory that is not restricted to specific types of words (e.g., those invoking auditory imagery). The findings support previous research in showing that music training enhances cognitive skills beyond those that are specific to the domain of music. The possible cognitive and neural factors underpinning this effect are discussed.
COMPARISON OF HEALTHY EATING INDEX BETWEEN INDIVIDUALS WITH AND WITHOUT METABOLIC SYNDROME

besity has been considered as one of the important health problems over the last decades. Although other studies have been reported the epidemic of obesity in several regions, there is no study to indicate the current epidemic of obesity in all regions (1). The World Health Organization estimated that about 2.3 billion and at least 700 million of adults around the world will be overweight and obese in 2015, respectively. In O 1Department of Nutrition, Health Faculty, Shahid Sadoughi University of Medical Sciences. 2Department of Nutrition and Biochemistry, Tehran University of Medical Sciences 3Endocrinology and Metabolism Research Center, Tehran University of Medical Sciences 4Department of Community Medicine, Tehran University of Medical Sciences 5London Metropolitan University
Development of an angle sensor using optical polarizer

This paper presents an effective technique to measure angle of rotation using optical polarizer. In this case combination of single wavelength partially polarised laser beam and a linear polarizer are used for the rotational angle measurement. The power of the transmitted partially polarized light was found varied according to the angle variation of the polarizer. This concept can be used to sense the angle of rotation. High and low measurement of the transmitted power was obtained at 90° interval for the entire range of angle 180°. To ensure the precision, accuracy and reliability of the sensor, the experiments were repeated and error percentage was captured in accordance of predicted model. From all experimental investigations, it has been concluded that varying the output power according to the polarizer's angle rotation could be an indicator to an angle successfully. The experiment was conducted using polarized laser source, iris, attenuator, polarizer and a photo detector to measure the transmitted polarized power coming through a polarizer. The major advantages of this type of angle sensor are its compact size, cost effectiveness, passive type without extra circuit, no effect of electromagnetic noise and flexibility in using at long distance.
Mercy Amba Ewudziwa Oduyoye : mother of our stories

Mercy Amba Oduyoye (1933-) is Africa’s first and foremost woman theologian. While her life reads like a story, Oduyoye’s theology itself can best be described as a theology of stories that have changed worldviews on gender, ecumenism and restorative historiography. This article deals with these three themes in Oduyoye’s work, and how she has journeyed with them through the three main periods of her life. At the beginning of her teaching career, during the 1970s, she taught students the history of dogma as people’s stories of their struggle to understand the divine. In the 1990s and at the height of her career as Deputy General Secretary of the World Council of Churches, we find her deconstructing the mythical stories of both the African and Judaeo-Christian traditions in order to retell these stories as healing stories to African women. And now, more than a decade after she retired from institutionalised labour, Oduyoye is still contributing prolifically to re-telling the stories of Africa as stories in which women are worthy human beings, and the African church is one with, and in, its cultural history. Indeed, hers is a life committed to the theological significance of stories, and to the power of stories to heal and to unite.
Taxonomy and evolution of marine benthic dinoflagellates from sub-tropical Japan [an abstract of dissertation and a summary of dissertation review]

Title Taxonomy and evolution of marine benthic dinoflagellates from sub-tropical Japan [an abstract of dissertation and a summary of dissertation review] Author(s) PINTO, Sohail Keegan Issue Date 2017-06-30 Doc URL http://hdl.handle. net/2115/66505 Rights(URL) http://creativecommons.org/licenses/by-nc-sa/2.1/jp/ Type theses (doctoral abstract and summary of review) Additional Information There are other files related to this item in HUSCAP. Check the above URL. File Information Sohail_Keegan_PINTO_abstract. pdf (論文内容の要旨)
A Novel Seasonal Fuzzy Time Series Method

Fuzzy time series forecasting methods, which have been widely studied in recent years, do not require constraints as found in conventional approaches. On the other hand, most of the time series encountered in real life should be considered as fuzzy time series due to the vagueness that they contain. Although numerous methods have been proposed for the analysis of time series in the literature, these methods fail to forecast seasonal fuzzy time series. The limited number of seasonal fuzzy time series methods consider only the fuzzy set having the highest membership value, rather than the membership value of observations belonging to each fuzzy set. This is contrary to fuzzy set theory and causes information loss, thus affecting forecasting performance negatively. In this study, a new seasonal fuzzy time series method which considers the membership value of the observations belonging to each set in both forecasting fuzzy relations and in the defuzzification step is proposed. The proposed method is applied to a real seasonal time series.
Mining significant patterns for oil spillage risk analysis

In an increasingly technological era, the dependence on oil and gas is on the increase. In order to meet this pressing need, oil exploration with associated spillage have been increasing at alarming rates, which in turn endangers the environment and generate huge oil spillage data repositories. Efforts to deal with oil spillages are inefficient because there is no clear knowledge and understanding of the relationships and inter-dependencies among oil spillage attributes. The purpose of this work is to discover patterns, rules and relationships among oil spillage attributes for oil spillage risks analysis. A hybrid methodology based on neural network, genetic algorithm and Fuzzy Logic for the discovery of patterns in terms of relationships, rules and inter-dependencies from oil spillage dataset is proposed. The system was implemented using 11Ants Analytics and Matlab using data on oil spillage incidences associated with oil exploration activities. A total of 33 comprehensible rules were discovered, the performance of the rules on the test data yielded an average accuracy and precision of 98.68% and 97.90% respectively. The rules are therefore adequate and suitable for the estimation of the oil spillage magnitude and can be deployed into the knowledge base of an expert system for oil spillage risk analysis. This knowledge will therefore guide human experts in the reduction of oil spillage incidences and associated risks.
The logic of the CAP: politics or economics?

This paper derives an applied general political economy model incorporating a model of political decision-making into a computable general economic equilibrium model. Political decision-making among a set of legislators is modeled via a mean voter decision rule derived from a modi ed non-cooperative legislative bargaining game of a Baron-Ferejohn type. The model allows a simultaneous analysis of political and economic factors determining policy outcome and is applied to simulate future Common Agricultural Policy (CAP) under various political and economic scenarios.
Nutritional Status in Northern Nigeria, Prevalence and Determinants: A Review of Evidence Prepared for the ORIE Component of the WINNN Programme

Approach This was a desk-based review based on documents available on the internet from the last 15-20 years. Studies were selected on the rigour of their methodologies, including randomised control trials, but excluding meta reviews. Literature on Nigeria was located by use of a double-pronged 'deep search' using 'keywords' to create search strings utilising Boolean operatives. These were then applied to a number of 'deep search' indexes (Econlit; IBSS; Web of Knowledge; Wiley's Online Library; JSTOR; PubMed), each of which searches thousands of journals. The same strings were used to search the grey literature utilising Google, and a number of multinational organisation websites (World Bank, IFPRI, UNICEF, WHO, FAO). Then backwards and forwards citation was used when relevant texts were found. In instances where no experience to Nigeria is related, this is indicative of a paucity of quality, or in most cases any data on the topic in northern Nigeria. Unpublished nutrition surveys carried out by WINNN partners were also reviewed. 1. Nutritional status in Nigeria and the North There have been regular national nutritional status surveys, with four in the last ten years. Data for the last three years (2010, 2012) are available for the five programme states through Standardized Monitoring and Assessment of Relief and Transitions (SMART) surveys. All of these surveys confirm that stunting consistently exceeds 50% (with the exception of some seasonal variations in some states), well in excess of the national average. There are no clear trends that the situation is improving. Information on maternal and girls' nutritional status in the five WINNN programme states drawn from the recent SMART surveys indicate that 15-45% of adult women are classified as thin in terms of body mass index (BMI), and that adolescent girls are particularly at risk. 2. Determinants of maternal and child undernutrition Household economic status, maternal education and women's empowerment are important predictors of maternal and child undernutrition in northern Nigeria. This summary outlines the approach, key findings and conclusions of a review of literature on the prevalence and determinants of child and maternal undernutrition in northern Nigeria, and direct and indirect interventions to tackle undernutrition, globally and in Nigeria, undertaken in 2012. The aims of the evidence review were to: assess gaps in knowledge; support the design of the WINNN and ORIE programmes; review interventions to address undernutrition in Nigeria and globally; and inform DFID on possible pilots to tackle underlying determinants of …
Exploring extra dimensions with scalar fields

This paper provides a pedagogical introduction to the physics of extra dimensions by examining the behavior of scalar fields in three landmark models: the ADD, Randall-Sundrum, and DGP spacetimes. Results of this analysis provide qualitative insights into the corresponding behavior of gravitational fields and elementary particles in each of these models. In these “brane world” models, the familiar four dimensional spacetime of everyday experience is called the brane and is a slice through a higher dimensional spacetime called the bulk. The particles and fields of the standard model are assumed to be confined to the brane, while gravitational fields are assumed to propagate in the bulk. For all three spacetimes, we calculate the spectrum of propagating scalar wave modes and the scalar field produced by a static point source located on the brane. For the ADD and Randall-Sundrum models, at large distances, the field looks like that of a point source in four spacetime dimensions, but at short distances, it cr.
Phototriggered production of reactive oxygen species by TIO 2 nanospheres and rods

We present the study of reactive oxygen species production under the light irradiation of two different types of TiO2 nanocrystals. Both TiO2 spheric NPs and anisotropic nanorods were investigated using activation of the horseradish peroxidase enzyme and subsequent substrate oxidation into a fluorescent product. The influence of the surface ligand dopamine was also explored to shed more light on the effect of catechol binders on the photoactivity of TiO2 species.
Spatial patterns of maternal investment in Strongylocentrotus franciscanus along a marine-terrestrial gradient

In near-shore marine ecosystems, organisms inhabit an interface between marine and terrestrial environments where both systems interact in complex ways. These interactions may occur along gradients in biophysical conditions that vary over spatial and temporal scales. These environ- mental conditions are known to drive many biological processes with resulting influence on a given species life history. In the present study we examined spatial variation in indices of reproductive fitness, namely fecundity, egg volume, and egg biochemistry in the red sea urchin Strongylocentro- tus franciscanus along a spatial gradient of decreasing wave energy and increasing terrestrial influ- ence in Barkley Sound, British Columbia, Canada. Stable carbon (δ 13 C) isotopic analysis was used as a bioindicator of (1) the influence of terrestrially derived carbon in egg production and (2) the con- comitant effects of assimilation of terrestrial carbon on egg quality. Stable nitrogen (δ 15 N) isotopic analysis was used to assess trophic status among and within locations and relate this back to the strength of the gradients. We found that urchins in the lowest energy wave environment released the most eggs compared to all other locations. Egg volume was similar across all sites in the present study; however, within each site, mean egg volume varied among female urchins. Egg biochemistry (e.g. protein, carbohydrate and lipid levels), a proxy for egg quality, was the same at all sites, although analysis of percent carbon, a proxy for lipids, suggested a trend in increasing levels as dis- tance from high wave energy environments increased. No obvious spatial pattern in δ 13 C was observed, suggesting that input of terrestrial organic material is well diluted in Barkley Sound. With respect to δ 15 N, we found little variation in trophic level at which foraging takes place. In contrast there were different δ 13 C and δ 15 N levels when comparing egg to tube foot tissue, suggesting that temporally S. franciscanus was feeding on different food sources or that for these tissue types urchins differentially assimilate carbon and nitrogen isotopes.
Elementary school principals in low socio-economic-status schools: a university-based research programme designed to support mandated reform

This paper presents a reform initiative, the Supporting Montreal Schools Program (SMSP), created by the government of Quebec to assist 184 low socio-economic-status schools in Montreal implement seven reform strategies prescribed by the government. On a regular basis, the professional team of the SMSP engages in reflection and research with universities concerning one or more of the strategies they are charged with helping schools implement or the functioning of the SMSP more generally. The present research programme is part of the team’s ongoing reflection on a component of Strategy 4: professional development of school administrators and the school team. In this paper, we detail results from this initial and subsequent studies on the work of principals in low-performing schools. We also describe our collaborative relationship with the SMSP team, discuss the effectiveness of the SMSP in promoting the implementation of the seven government-mandated strategies and critique the utility of our partnership with the SMSP and our use of that programme as a vehicle for linking research to practice.
Measuring the Impact of Fiscal Policy in the Face of Anticipation: A Structural VAR Approach

Empirical estimates of the impact of government spending shocks disagree on central issues such as the size of output multipliers and the responses of consumption and the real wage. One explanation for the disagreement is that fiscal shocks are often anticipated. Due to misspecification of the information set, anticipation effects may invalidate SVAR estimates of impulse responses. We use economic theory to derive a fiscal SVAR estimator that is applicable when fiscal shocks are anticipated. We study its properties and apply it to US data. We fail to find evidence that anticipation effects overturn the existing findings from the fiscal SVAR literature.
The value of numerical models in quick response assortment planning

In agile supply chains, dependencies in demand for products (in particular correlations) as well as substitution among products, vary substantially, and, due to uncertainty in market acceptance, a substantial share of the portfolio item demands follow bimodal distributions. Typically, advanced heuristics and major simplifying assumptions on these dependencies are needed to reduce the complexity to an appropriate level for analytical solutions of models. By applying a single-period stochastic model to the multi-item substitutable newsvendor problem, we demonstrate that simplifying assumptions on distributions and dependencies can lead to rather poor solutions, and as a consequence, numerical models – despite their obvious inability to produce general data-independent results – have an important role to play in assortment planning. By using a brand name sportswear assortment problem, we show that even when technology and supply chain flexibility allows for continuous information and production updates, the underlying distributional and dependency assumptions used in the planning models are crucial. We note, though, that the value of substitution is high and compensates, to some extent for the lack of information. We have found that the expected profit can drop by as much as 30% when simplifications are applied.
PROTEOMIC ANALYSIS OF ESCHERICHIA COLI IN RESPONSE TO CATECHINS RICH FRACTION

Objective: Multi drug resistance is a major medical concern. Medicinal plants have been accepted as potential reserviour of lead compounds for drug design and development. However, molecular mechanism of antimicrobial action of phytoconstituents with medicinal properties, still needs to be explored. Therfore, proteomic analysis technique was carried to trace molecular mechanism of action of catechin rich fraction. Methods: Catechin rich fraction from geen tea was prepared. Comparative proteomic analysis of E.coli incubated with sub-MIC concentration of cahechin rich fraction was carried out to explore the mode of action of catechins and to identify the cellular targets. Results: Minimum inhibitory concentration of catechin rich fraction against E. coli was found to be 0.5 mg/mL. Proteomics analysis reveals that catechins rich fraction down-regulate a number of proteins important for bacterial survival such as PstC, NADH dehydrogenase, succinyl-CoA synthetase α-subunit, glyceraldehyde-3-phosphate dehydrogenase and iron-containing superoxide dismutase. Conclusion: Catechins rich fraction down-regulate expression of several important proteins/ targets to inactivate or kill the bacteria. Furthermore, such fractions needs to be standardized for further use alone or in combination with antibiotics for effective treatment of the multi-drug resistant bacteria.
Collision Avoidance Mechanism for Symmetric Circular Formations of Unitary Mass Autonomous Vehicles at Constant Speed

Collective motion is a promising field that studies how local interactions lead groups of individuals to global behaviors. Biologists try to understand how those subjects interplay in nature, and engineers are concerned with the application of interaction strategies to mobile vehicles, satellites, robots, etc. There are several models in literature that employ strategies observed in groups of beings in nature. The aim is not to literally mimic them but to extract suitable strategies for the chosen application. These models, constituted of multiple mobile agents, can be used in tasks such as data collection, surveillance and monitoring. One approach is to use phase-coupled oscillators to design the mobile agents, in which each member is an oscillator and they are coupled according to an interconnection network. This design usually does not keep track and handle the possible collisions within the group, and real applications obviously must manage these situations to prevent the equipment from crashing. This paper introduces a collision avoidance mechanism to a model of particles with phase-coupled oscillators dynamics for symmetric circular formations.