Miracle-dz/UniFAR-FTUs huggingface dataset:
Professional Development Engagement and Career Satisfaction of Agriscience Teachers.

The profession of teaching is inherently stressful. Resilience, or the ability to adapt and develop competence despite exposure to disruptive change, has been shown to be beneficial for teachers. The purpose of this study was to determine if personal resilience is a predictor of professional development engagement and career satisfaction of agriscience teachers. A census of agriscience teachers in four purposefully selected states was taken. Data were collected using the TailoredDesign Method, using multiple points of contact with multiple modes to minimize survey error. The overall response rate was 72.5% (n = 892). The linear combination of independent variables in a stepwise backwards regression model explained 13.7% of the variance of professional development engagement and 21.4% of the variance of career satisfaction. These findings suggested that increasing the resilience of agriscience teachers, specifically in the areas of positive: world and focused, could lead to increased engagement in professional development and career satisfaction, which has been shown to be a factor that increases teacher efficacy. Additional research is needed to explore how to increase the resilience of agriscience teachers and the relationship between teacher resilience and student outcome variables.
The Correlation between Business Location and Consumers Patronage: Implications for Business Policy Decisions

The study undertook a critical appraisal of the relationship between business locations and consumer patronage, with a view to pinpointing the implications on business policy and decisionmakings. The study sought to: Determine the effect of business locations on consumers’ repeatpurchases; and evaluate the effect of proximity of business locations on consumers’ patronage. Survey design was employed. The area of study was University of Calabar, while the study frame were photocopying operators, consumers of their services and the school’s business regulatory body. The sample size of the study was 100 and structured questionnaire was the instrument used for data collection. The instrument was content-validated, while the test-retest method was used to confirm the reliability. Data analysis was done electronically by the use of Statistical Package for Social Science (SPSS) version 21. Among the findings highlighted in the study were; business location affects a business performance very significantly; it also has a significant effect on the repeat purchases of consumers. Also proximity of the business to customers and competitors has Original Research Article John et al.; BJEMT, 8(4): 294-304, 2015; Article no.BJEMT. 2015.118 295 significant benefits to business performance in the University. The implications for business policy and decision-making are that intending entrepreneurs must undertake business location feasibility studies before citing their businesses.
Quality aspects in open-pollinated onion varieties from Western- Europe

Commercial onion breeders limit their selection criteria by focusing almost exclusively on conventional farming. This raises the demand for certain well known varieties, but lowers the general diversity available on the mainstream market. A way to maintain biodiversity is to preserve old open-pollinated varieties. Through their distinct aroma and flavor, these plants are again drawing the interest of farmers and consumers alike, making them a viable alternative to commercial varieties. To assess yield and quality aspects of West-European open-pollinated onions, we have evaluated nine varieties and compared them against two of their commercial, well-established counterparts. The study included onion production on the field in South-West Germany, evaluation of the quality and flavor parameters, as well as a trained sensory taste panel. Results showed high diversity in yield and chemical properties of the studied onion varieties, where two varieties in particular, stood out significantly. Compared to the control, the variety “Birnformige” performed best and demonstrated high concentrations of fructan and pyruvic acid, both known to have curative and medicinal properties. On the other end of the spectrum, the variety “Jaune des Cevennes” demonstrated low dry matter content, low concentration of enzymatically-produced pyruvic acid and a high bolting percentage. The study also confirmed the link between individual quality components in onion bulbs, including the significantly negative correlation between minerals (such as calcium and magnesium) and fructan.
Designing the Business Conversation Corpus

While the progress of machine translation of written text has come far in the past several years thanks to the increasing availability of parallel corpora and corpora-based training technologies, automatic translation of spoken text and dialogues remains challenging even for modern systems. In this paper, we aim to boost the machine translation quality of conversational texts by introducing a newly constructed Japanese-English business conversation parallel corpus. A detailed analysis of the corpus is provided along with challenging examples for automatic translation. We also experiment with adding the corpus in a machine translation training scenario and show how the resulting system benefits from its use.
ACCELERATING HIGH-ENERGY PULSAR RADIATION CODES

Curvature radiation (CR) is believed to be a dominant mechanism for creating gamma-ray emission from pulsars and is emitted by relativistic particles that are constrained to move along curved magnetic field lines. Additionally, synchrotron radiation (SR) is expected to be radiated by both relativistic primaries (involving cyclotron resonant absorption of radio photons and re-emission of SR photons), or secondary electron–positron pairs (created by magnetic or photon–photon pair production processes involving CR gamma rays in the pulsar magnetosphere). When calculating these high-energy spectra, especially in the context of pulsar population studies where several millions of CR and SR spectra have to be generated, it is profitable to consider approximations that would save computational time without sacrificing too much accuracy. This paper focuses on one such approximation technique, and we show that one may gain significantly in computational speed while preserving the accuracy of the spectral results.
Equity Risk Factors for a Small Open Economy: A Risk Management Perspective

This article seeks to find factors that can account for the determinants of common variations in returns for a small open economy where the Swedish stock market serves as an example. The importance of the candidate factors is first analyzed by looking at the standard deviation of their mimicking portfolio returns, while their performance is evaluated from a risk management viewpoint. The results of the volatility analysis verify that the market, as represented by both the world market portfolio and the Swedish home market portfolio, is a crucial factor and most of the macro factors seem to be redundant. The results of the risk management exercise show that the market factor and the portfolios mimicking size and book-to-market ratio are important
Parental characteristics versus egg survival: towards an improved genetic management in the supportive breeding of lake whitefish

A number of sexual selection models predict that reproductive success in the wild is positively linked to heritable viability (e. g. the "good genes" models). Here we explore whether there is information about heritable viability that could potentially be used in the hatchery management of Alpine lake whitefish (Coregonus sp.). We drew 20 wild-caught individuals out of a breeding program, crossed them in a fully balanced 10 females x 10 males mating design, and incubated each sibship in several replicates until hatching. We then compared egg survival with parental characteristics. Egg number or milt volume were not significantly correlated with egg survival, nor was egg size. However, female size and age, and male quality indicators such as condition factor, breeding ornamentation, and fluctuating asymmetry, were useful predictors of egg survival. We discuss the possibility that a promotion of heritable viability could be carefully balanced with the maintenance of genetic variation in order to maximize the survival prospects of a population.
COMPONENT‐COMPATIBILITY IN HISTORICAL BIOGEOGRAPHY

The problems of reconstructing historical relationships for areas of endemism from distributional data for groups of taxa and the cladistic relationships among the members of those groups can be solved by applying the two principles of parsimony and mutual inclusion or exclusion (compatibility) of components. Components can be extracted from a data matrix by means of transcription into partial monothetic sets. The data matrix thus derived represents the distribution over areas for the monophyletic groups in one or more cladograms. It is derived from two different matrices by boolean multiplication. The first matrix gives the binary representation of distributions of taxa over areas of endemism; the second describes the cladogram for the same taxa, in terms of character states converted into binary form by additive binary coding. The derived data matrix can be used in historical biogeography to represent the given phyletic data (Assumption 0 here newly defined), and can be amended to reflect Assumptions 1 or 2 to accomodate the problems of wide‐spread taxa and missing areas. Areacladograms are determined from the derived matrix by searching for the largest sets of mutually compatible components. Area‐cladograms are evaluated in terms of support (vicariance) and contradiction (ad hoc interpretations such as dispersal and extinction). Area‐cladograms that best fit the data matrix regarding the balance between support and contradiction are selected as the best possible recontructions of relationships among the areas of endemism. The procedure is illustrated by the example of the poeciliid fish genera Heterandria and Xiphophorus, and several other standard examples.
Evaluating the long-run impact of an innovative anti-poverty programme: evidence using household panel data

ABSTRACT Using a four-round panel data set from the first phase of the Challenging the Frontiers of Poverty Reduction – Targeting the Ultra Poor (CFPR – TUP) programme of BRAC, we investigate whether a one-off transfer of livestock assets improves well-being of the very poor women in Bangladesh. Programme impact is assessed on a wide range of monetary and nonmonetary measures of well-being using difference-in-difference (DD) as well as matching methods. We find significant positive long-term impact on food security, household savings, assets and participation in microfinance. Participant women are less likely to be in distress occupation and more into self-employment. However, the long-term effect is much smaller for most outcomes when compared to short- and medium-run impacts. We conclude by discussing the significance of the institutional and regional context for the observed time path of estimated programme effect.
PARTEMU: Enabling Dynamic Analysis of Real-World TrustZone Software Using Emulation

ARM’s TrustZone technology is the basis for security of billions of devices worldwide, including Android smartphones and IoT devices. Because TrustZone has access to sensitive information such as cryptographic keys, access to TrustZone has been locked down on real-world devices: only code that is authenticated by a trusted party can run in TrustZone. A side-effect is that TrustZone software cannot be instrumented or monitored. Thus, recent advances in dynamic analysis techniques such as feedback-driven fuzz testing have not been applied to TrustZone software. To address the above problem, this work builds an emulator that runs four widely-used, real-world TrustZone operating systems (TZOSes) - Qualcomm’s QSEE, Trustonic’s Kinibi, Samsung’s TEEGRIS, and Linaro’s OP-TEE - and the trusted applications (TAs) that run on them. The traditional challenge for this approach is that the emulation effort required is often impractical. However, we ﬁnd that TZOSes depend only on a limited subset of hardware and software components. By carefully choosing a subset of components to emulate, we ﬁnd we are able to make the effort practical. We implement our emulation on P ART E MU , a modular framework we develop on QEMU and PANDA. We show the utility of P ART E MU by integrating feedback-driven fuzz-testing us-ing AFL and use it to perform a large-scale study of 194 unique TAs from 12 different Android smartphone vendors and a leading IoT vendor, ﬁnding previously unknown vulnerabilities in 48 TAs, several of which are exploitable. We identify patterns of developer mistakes unique to TrustZone development that cause some of these vulnerabilities, high-lighting the need for TrustZone-speciﬁc developer education. We also demonstrate using P ART E MU to test the QSEE TZOS itself, ﬁnding crashes in code paths that would not normally be exercised on a real device. Our work shows that dynamic analysis of real-world TrustZone software through emulation is both feasible and beneﬁcial.
Modeling the Hemodynamic Response Function for Prediction Errors in the Ventral Striatum

To make sensible inferences about neural activation from fMRI data it is important to accurately model the hemodynamic response function (HRF), i.e., the hemodynamic response evoked by a punctuate neural event. HRF models have been derived for sensory areas, where it is relatively clear what events cause a neural impulse response. However, this is obviously harder to do for higher order cortices such as prefrontal areas. Therefore, one HRF model is commonly used for analyzing activity throughout the brain, despite the fact that hemodynamics are known to vary across regions. For instance, several fMRI studies use a canonical HRF to analyze ventral striatum (VS) activity where converging evidence indicates that reward prediction error signals drive neural activity. However, the VS is a target of prominent dopaminergic projections, known to modulate vasculature and affect BOLD activity, suggesting that the HRF in the VS may be especially different from those in other brain areas. To address this, we use data from an experiment focused on learning from prediction-error signals to derive a VS-specific HRF model (VS-HRF). We show that this new VS-HRF increases statistical power in model comparison. Our result is of particular relevance to studies comparing computational models of learning and/or decision making in the VS, and for connectivity analyses, where the use of an (even slightly) inaccurate HRF model can lead to erroneous conclusions. More broadly, our study highlights the importance of the choice of HRF model in determining the significance of the results obtained in classical univariate fMRI analysis.
The Fourth Generation Quark and the 750 GeV Diphoton Excess

Recently, the CMS and ATLAS collaborations have reported a diphoton peak at 750 GeV in the RunII of LHC at 13 TeV. We assume that the heavy fourth generation quark doublet $z,~y$ with $380 $GeV mass, and the width of $z,t$ is much less $b$ quark. Then we show that the contributions of the $(z \bar z+y \bar y)/\sqrt{2}$ bound state $\eta_{zy}(1S)$ to the diphoton measurements through $\sigma (pp\to \eta_{zy}(1s)\to \gamma \gamma) $ are $ 5.6^{+5.6}_{-2.8} {\rm fb}$ at $\sqrt S=13$ TeV. They are constant with the 750 GeV diphoton excess measured by the CMS ant ATLAS collaborations.
Deconvolution with application to estimation of sampling probabilities and the Horvitz-Thompson estimator

We elaborate on a deconvolution method, used to estimate the empirical distribution of unknown parameters, as suggested recently by Efron (2013). It is applied to estimating the empirical distribution of the 'sampling probabilities' of m sampled items. The estimated empirical distribution is used to modify the Horvitz-Thompson estimator. The performance of the modified Horvitz-Thompson estimator is studied in two examples. In one example the sampling probabilities are estimated based on the number of visits until a response was obtained. The other example is based on real data from panel sampling, where in four consecutive months there are corresponding four attempts to interview each member in a panel. The sampling probabilities are estimated based on the number of successful attempts. We also discuss briefly, further applications of deconvolution, including estimation of False discovery rate.
Analysis of velocity profile measurements from wind-tunnel experiments with saltation

Investigations of wind-field modification due to the presence of saltating sediments have relied heavily on wind tunnels, which are known to impose geometric constraints on full boundary layer development. There remains great uncertainty as to which portion of the vertical wind-speed profile to analyze when deriving estimates of shear velocity or surface roughness length because the lower sections are modified to varying degree by saltation, whereas the upper segments may be altered by artificially induced wake-like effects. Thus, it is not obvious which of several alternative velocity-profile parameterizations (e.g., Law of the Wall, Velocity Defect Law, Wake Law) should be employed under such circumstances. A series of experimental wind-tunnel runs was conducted across a range of wind speed using fineand coarse-grained sand to collect high-quality, fine-resolution data within and above the saltation layer using thermal anemometry and ruggedized probes. After each run, the rippled bottom was fixed with fine mist, and the experiment repeated without saltation. The measured wind-speed profiles were analyzed using six different approaches to derive estimates of shear velocity and roughness length. The results were compared to parameter estimates derived directly from sediment transport rate measurements, and on this basis, it is suggested that one of the six approaches is more robust than the others. Specifically, the best estimate of shear velocity during saltation is provided by the logarithmic law applied to the profile data within about 0.05 m of the bottom, despite the fact that this near-surface region is where profile modification by saltating sediments is most pronounced. Uncertainty remains as to whether this conclusion can be generalized to field situations because progressive downwind adjustments in the interrelationship between the saltation layer and the wind field are anticipated in wind tunnels, thereby confounding most analyses based on equilibrium assumptions. D 2003 Elsevier B.V. All rights reserved.
Relationship of Nutritional Status, Anemia with Helminthiasis in Adolescents in Manado City

Original Research Article Background: Infectious diseases in Indonesia in general are still quite high. One of the diseases whose incidence is still high is worm infection, which is intestinal worms that are transmitted through the infected soil. Helminthiasis is one of the 10 largest children's diseases in Indonesia, with a prevalence of 22.6% in 2013[1] The impact of helminthiasis can interfere with health and nutritional status. Anemia is a medical condition in which the number of red blood cells or hemoglobin is less than normal. One of the causes of low Hemoglobin is inadequate nutrition and infectious diseases. Objectives: This study aims to determine the relationship between nutritional status, anemia and helminthiasis in adolescents. Method: This study was an observational study with a cross-sectional design conducted on high school students in the city of Manado. Collection of primary data and secondary data used interview techniques, measurement techniques and observation. Anthropometric measurements of a total of 1256 students were taken to determine nutritional status. Then 100 students were selected to be tested for hemoglobin and stool examination. All subjects were asked to collect feces samples when going to school to be examined in the laboratory to assess the status of helminthiasis. Statistic analyzed used Chi-Square and Fisher’s Exact Test. Results: The result of this study indicates that there were 56 female students (56%) more than male students. There were 9 students with under nutrition status and 91 normal students. Students who have anemia are as many as 7 people (7%). Based on the results of stool examinations conducted on 100 students there were 3 children (3%) positive infected with helminthiasis and 97 children (97%) were negative. Worm infection occurred in subjects are relatively mild. Statistical analysis shows that there is no relationship between helminthiasis with nutritional status (p=1.01) and there is no relationship between helminthiasis with hemoglobin levels (p=0.43). Conclusion: There is no relationship between helminthiasis with nutritional status and anemia in adolescents in Manado city.
Structural Color and Iridescence in Transparent Sheared Cellulosic Films

Shear transparent cellulose free-standing thin films can develop iridescence similar to that found in petals of the tulip “Queen of the Night. ” The iridescence of the film arises from the modulation of the surface into bands periodically spread perpendicular to the shear direction. Small amounts of nanocrystalline cellulose (NCC) rods in the precursor liquid-crystalline solutions do not disturb the optical properties of the solutions but enhance the mechanical characteristics of the films and affects their iridescence. Smaller bands periodicity, not affected by the NCC rods, slightly deviated from the shear direction is also observed. NCCs are crucial to tune and understand the film's surface features formation. Our findings could lead to new materials for application in soft reflective screens and devices.
Helminth-Derived Product(s): Source for Potential Therapeutic

Helminth parasites that inhabit mammalian body surfaces have a highly evolved relationship with the immune system. Many of these resident helminths carry out functions to ensure their survival in the hosts. To attain this objective helminth parasites adopt immunoregulatory mechanisms to counter host’s hostile immune response. Indeed, immunomodulatory molecules have been discovered in the worm’s extracts and in their excretion/secretion. In this review, we discuss the state of our understanding of the interplay between helminths and immune pathways. We also highlight the key challenges that must be confronted in identification of the helminth-derived molecules involved in immune modulation. We consider whether helminth-derived signaling hold promise for the design of novel therapeutic approaches for the treatment of inflammatory disorders (inflammatory bowel disease, allergies, and autoimmune diseases).
PHYSICO – CHEMICAL AND GENOTOXIC ANALYSIS OF DAIRY INDUSTRIAL EFFLUENT

India is the highest milk producer of the world. Dairy industries discharge wastewater which is characterized by high chemical oxygen demand (COD), biological oxygen demand (COD), nutrients, and organic and inorganic contents. Such wastewaters, if discharged without proper treatment, severely pollute water bodies and disrupts complete ecosystem. This paper presents the physico -chemical characteristics of waste water from the Dairy Industry. The waste water from the Dairy Industry is characterized by pH, COD (Chemical Oxygen Demand), BOD (Biological Oxygen Demand). BOD noted in Jan’ 12 and July’ 12 after ETP was 320 ± 26.76 and 355 ± 78.99 while COD range from 954 ± 86.18 to 982 ± 67.57. Study is also done for their genotoxicity analysis by Ames mutagenicity assay. Mutagenecity ratio of dairy wastewater samples noted was below 2.