Miracle-dz/UniFAR-FTUs huggingface dataset:
Helen Boon

Policy change to enhance academic and psychosocial outcomes for Queensland’s children and adolescents, the source of the State’s future human capital, is imperative. This proposal stems from the findings of an empirical Queensland study that compared typical, resilient and students at risk. A sample of 1,100 Indigenous and non-Indigenous secondary students reported on their school perceptions, parenting, coping strategies, and academic goals. Their responses were modelled using structural equation modelling techniques. These techniques have the advantage of being able to take into account mediation pathways between variables as well as direct links to outcome variables and thus can account for the influences of a number of factors upon an outcome simultaneously, showing the most significant effects. Results not only showed the strong links between parenting behaviours and higher academic achievement, but also highlighted that authoritative parenting acted as a protective factor against disadvantaged socioeconomic variables and behavioural problems. Warm and involved parenting coupled with high levels of monitoring promoted resilience in both Indigenous and non-Indigenous samples. Science programs in Queensland currently only target the biological aspects of reproduction. But in addition to facts about conception, future parents urgently need an understanding of child development and the effects of nurturing parenting upon social adjustment, coping and academic achievement. Conversely, they need to know how detrimental neglect can be to a child. Policy governing the science curriculum needs to change so that all adolescents are exposed to this knowledge before they become parents. Moreover, antenatal classes should be coupled with parenting classes. Using a sample of 1,050 secondary school students from a regional city, the links between parenting and achievement and parenting and school perceptions were compared and contrasted for three groups: typical, resilient and students at risk of academic failure. Structural equation modelling was used to validate the questionnaires used. Results confirmed parenting style links with achievement in an Australian context. Past findings were consolidated to the current cultural and historical context. Authoritative parenting was significantly linked with higher academic achievement and higher school climate perceptions. Conversely, neglectful parenting predicted lower achievement and school perceptions. The study validated Bronfenbrenner’s theory of development.
Effect of Pyrus communis (Common Pear) Seeds on Selected Parameters of Liver Function in Rats Treated with Cadmium

The study investigated possible hepatoprotective potentials of Pyrus communis (PC) seeds in rats treated with cadmium. Twenty Wistar rats weighing 150 g - 180 g were divided into 4 groups (A, B, C and D) of 5 rats each. Group A received distilled water only. 5mg/kg bwt cadmium was given to group B orally while group C were pre-administered with 500mg/kg bwt PC extract orally. Group D received 500mg/kg bwt PC. After two weeks of treatment, serum and liver homogenate were evaluated for haptoglobin, (Hp) total protein (TP), albumin, alanine transaminase, (ALT) and aspartate transaminase, (AST). The results showed significant (p<0.05) reduction in liver and serum Hp concentrations in rats treated with cadmium. There was also significant (p<0.05) decrease in liver TP, ALT and AST levels and significant (p<0.05) increase in serum TP, ALT and AST levels in rats treated with cadmium. However, treatment with PC restored Hp, TP, ALT and AST levels back to near normal. We concluded that 5mg/kg bwt cadmium caused liver damage and depressed Hp synthesis, and PC protected the liver.
Effect of flood basalt stratigraphy on the phase of seismic waveforms recorded offshore Faroe Islands

ABSTRACTThe generation of short-period multiples between highly heterogeneous layers of basalt flows can strongly alter transmitted seismic wavefields. These layers filter and modify penetrating waves, producing apparent attenuation and phase changes in the observed waveforms. We investigated the waveform and apparent phase changes of the primary seismic signal using mainly the maximum kurtosis approach. We compared the seismic recordings from two short-offset vertical seismic profiles (VSPs) with synthetic seismograms, generated from sonic logs in the same wells, and we found that short-period multiples cause a rapid broadening of the primary arrivals and strong apparent phase changes within a short depth interval below the top of the basalt flows. Relatively large uncertainties were associated with estimating constant phase shifts of the seismic arrivals within the topmost 250 m of the basalt sequences, where complex scattering occurred. Within this interval of the Brugdan I well, a phase-only compensat.
Testing current DBMS products with real spatial data

This paper analyses three commercially available geo-DBMSs, several different recent versions of Oracle, Informix and Ingres, with respect to their offered functionality and their performance (and correctness of the results). The functionality analysis is based on the manuals of the different systems and comparing this to the OpenGIS Simple Feature Specifications for SQL. In addition this paper touches on the topics, which are currently outside the scope of this specification: 3D data, raster (geo-image) data, topology structures, spatial indexing and clustering. The performance of the three different systems is evaluated by loading two large cadastral data sets (one with 21 million spatial records and one with 122 million spatial records) and firing a set of representative queries on these data sets in order to compare the results and test the scalability. It is very difficult to draw overall conclusions but it is clear that Ingres has the least richness with respect to the functionality, that Informix is the only one compliant to the OpenGIS specifications and that Oracle does not always have the best performance, but it is the richest with respect to the functionality.
Survey on Problem of Early Disease Detection and Monitoring Large Filed Of Crop

Farming is the main source of employment in India. Near about 70% populations earning from forming. Agriculture is the backbone of economy of Indian government. There is requirement of lot of production of crops for fulfill need of Indian population. This production is affected by the disease various type of diseases and those diseases sometimes may not visible to eyes. These diseases are directly affecting to the crop. So there is need to system to automatic diseases and diseased part in the leaf images. Leaves affects on the reduction of together amount and quality of agricultural harvests. Human eye is not so much stronger so as to observe minute variant in the diseased part of leaf. Recognition of plant leaf diseases is a precise vital aspect to guard against severe threats. In this system we investigate automatically detect and classify plant leave disease using image processing. Model is to realize the real-time monitoring internet of things (IOT) is a very good system framework for plant diseases. This will reduce efforts of monitoring the big farm of crop appear on plat leaves. This approach will help to increase productivity of crops. This contains feature extraction, segmentation and clustering leave image for efficient disease detection. Image is feature captured and then it passes to further processing. Using Genetic algorithm used to detect disease on plant leaf and key aspect image is segmentation.
Gaia's potential for the discovery of circumbinary planets

The abundance and properties of planets orbiting binary stars – circumbinary planets – are largely unknown because they are difficult to detect with currently available techniques. Results from the Kepler satellite and other studies indicate a minimum occurrence rate of circumbinary giant planets of ∼10percent, yet only a handful are presently known. Here, we study the potential of ESA’s Gaia mission to discover and characterize extrasolar planets orbiting nearby binary stars by detecting the binary’s periodic astrometric motion caused by theorbitingplanet.WeexpectthatGaiawilldiscoverhundredsofgiantplanetsaroundbinaries with FGK-dwarf primaries within 200 pc of the Sun, if we assume that the giant planet mass distribution and abundance are similar around binaries and single stars. If on the other hand all circumbinary gas giants have masses lower than two Jupiter masses, we expect only four detections. Gaia is critically sensitive to the properties of giant circumbinary planets and will therefore make the detailed study of their population possible. Gaia’s precision is such that the distribution in mutual inclination between the binary and planetary orbital planes will be obtained. It also possesses the capacity to establish the frequency of planets across the Hertzsprung-Russell diagram, both as a function of mass and of stellar evolutionary state from pre-main sequence to stellar remnants. Gaia’s discoveries can reveal whether a second epoch of planetary formation occurs after the red giant phase.
Wear-Resistant Nanostructured Sol-Gel Coatings for Functional Applications

Improvement of the wear resistance of functional surfaces is crucial in order to facilitate a variety of practical applications, such as self-cleaning or anti-fogging. This especially holds for functional surface nanostructures, whose tops can easily get worn off when exposed to even low abrasion forces. Thus, our work addresses the enhancement of the wear resistance of such fine-scale structures. We present an efficient manufacturing procedure for generating long-term durable surfaces with simultaneously tailored wetting behavior and high optical quality. Our approach is based on a sol-gel coating that consists of an alumina layer with specific nanoroughness yielding the function-relevant surface structure, and a protective thin smooth silica film providing the mechanical robustness without influencing that functional structure. The roughness of the alumina layer can be systematically adjusted, thus enabling us to achieve desired wetting effects all the way up to superhydrophilicity and, after application of an additional thin hydrophobic top coat, to superhydrophobicity. To demonstrate the enhanced robustness of these coatings we perform abrasive wear tests and investigate the impact of abrasion cycles on the wetting effects and optical properties of the coatings. Furthermore, the durability of the structures is directly revealed by advanced roughness characterization procedures based on Atomic Force Microscopy followed by power spectral density function (PSD) analysis.
A New Damage Mechanics Based Approach for Integrity Assessment of Plant Components

Safety analysis of critical components and the overall plant is a major and important task in the field of mechanical engineering. Therefore, it is essential to know the allowable loads and the corresponding failure behaviour (e.g., crack initiation, growth and instability) of the component. The damage mechanics ap- proaches which incorporate the microscopic processes of ductile fracture (i.e., void nucleation, growth and coalescence) into the material constitutive behaviour has been very successful in predicting the ductile crack propagation in specimens and components irrespective of their geometry, loading types etc. The major drawback of these models is the requirement of a pre-defined size of discretization for the numerical treatment. Hence, these models are not capable of simulation of fracture behaviour in several situations such as miniature specimens, thin films, ductile- to-brittle transition regime (where the stable crack growth is of the order of few microns before cleavage initiation), bi-material interface (requirement of different discretization sizes across the interface), zones with steep stress gradients etc. In this work, a new damage mechanics approach based on a nonlocal regularization scheme has been developed and its advantages in tackling the above-mentioned problems has been demonstrated through various examples.
Online Reservation Abandonment: How to Bridge the Gap between the Original Intention and the Actual Behavior?

Online reservation abandonment has not been yet explained by scholars. This research aims to identify key drivers to the issue. It proposes a theoretical framework inspired from behavioral theories particularly from Morrison’s Model (1979) stipulating that actions are controlled by intentions, but not all intentions are accomplished. Findings show that online consumer procrastination and website quality encourage online shoppers to intend to drop out an e-reservation and leave the hotel website without culminating the purchase. This study provides hoteliers with insights to improve purchase conversion rates on their own websites.
Title High-order computational scheme for a dynamic continuummodel for bi-directional pedestrian flows

In this paper, we present a high-order weighted essentially non-oscillatory (WENO) scheme, coupled with a high-order fast sweeping method, for solving a dynamic continuum model for bidirectional pedestrian flows. We first review the dynamic continuum model for bi-directional pedestrian flows. This model is composed of a coupled system of a conservation law and an Eikonal equation. Then we present the first-order Lax-Friedrichs difference scheme with first order Euler forward time discretization, the third order WENO scheme with third order total variation diminishing (TVD) Runge-Kutta time discretization, and the fast sweeping method, and demonstrate how to apply them to the model under study. We present a comparison of the numerical results of the model from the first order and high-order methods, and conclude that the high-order methods are more efficient than the first order one, and they both converge to the same solution of the physical model. keywords: dynamic continuum model, bi-directional flow, conservation law, Eikonal equation, WENO method, fast sweeping method.
Effects of lateral processes on the seasonal water stratification of the Gulf of Finland: 3-D NEMO-based model study

Abstract. This paper aims to fill the gaps in knowledge of processes affecting the seasonal water stratification in the Gulf of Finland (GOF). We used a state-of-the-art modelling framework NEMO (Nucleus for European Modelling of the Ocean) designed for oceanographic research, operational oceanography, seasonal forecasting, and climate studies to build an eddy-resolving model of the GOF. To evaluate the model skill and performance, two different solutions were obtained on 0.5 km eddy-resolving and commonly used 2 km grids for a 1-year simulation. We also explore the efficacy of non-hydrostatic effect (convection) parameterizations available in NEMO for coastal application. It is found that the solutions resolving submesoscales have a more complex mixed layer structure in the regions of the GOF directly affected by the upwelling/downwelling and intrusions from the open Baltic Sea. Presented model estimations of the upper mixed layer depth are in good agreement with in situ CTD (BED) data. A number of model sensitivity tests to the vertical mixing parameterization confirm the model's robustness. Further progress in the submesoscale process simulation and understanding is apparently not connected mainly with the finer resolution of the grids, but with the use of non-hydrostatic models because of the failure of the hydrostatic approach at submesoscale.
Electronic and optical properties of small hydrogenated silicon quantum dots using time-dependent density functional theory

This paper presents a systematic study of the absorption spectrum of various sizes of small hydrogenated silicon quantum dots of quasi-spherical symmetry using the time-dependent density functional theory (TDDFT). In this study, real-time and real-space implementation of TDDFT involving full propagation of the time-dependent Kohn-Sham equations were used. The experimental results for SiH4 and Si5H15 showed good agreement with other earlier calculations and experimental data. Then these calculations were extended to study larger hydrogenated silicon quantum dots with diameter up to 1.6 nm. It was found that, for small Quantum dots, the absorption spectrums atomic-like while, for relatively larger (1.6 nm) structure, it shows bulk-like behavior with Continuous plateau with noticeable peak. This paper also studied the absorption coefficient of silicon quantum dots as a function of their size. Precisely, the dependence of dot size on the absorption threshold is elucidated. It was found that the silicon quantum dots exhibit direct transition of electron from HOMO to LUMO states; hence this theoretical contribution can be very valuable in discerning the microscopic processes for the future realization of optoelectronic devices.
Homeownership and Social Capital in New Zealand

Does homeownership affect individual social capital and thereby influence local outcomes? Following DiPasquale and Glaeser, a body of literature suggests that homeownership is positively related to social capital formation. Homeowners have an incentive to engage in the local community in order to preserve or enhance the value of their housing asset. Moreover, homeownership creates barriers to geographic mobility, which increases the present value of the expected stream of benefits from local community social capital. We test the homeownership hypothesis alongside other individual, household and locational determinants of social capital using unique data created by merging the 2006 and 2008 samples of the New Zealand Quality of Life survey. The measures of social capital used in our analysis include trust in others, participation in social networks, attitude towards local governance and sense of community. Since homeownership is not randomly assigned, we complement our regression models with propensity score matching to control for selection effects. The results confirm that homeownership exerts considerable positive impact in the formation of social capital in New Zealand communities. In raising accountability of local government it does, however, lead to reduced satisfaction by homeowners in the performance of local councils.
Carpathian Euroregion and Cross-Border Governance

The Carpathian Euroregion (CE), which was established in 1993, is a cross-border regional cooperation that comprises eighteen regions within five non-EU member states in Eastern Europe. The CE was expected to become a forerunner as an East-East Euroregion. After a decade development, the CE's positive impact on regional security and the development of various kinds of communication can be observed; however, its negative aspects are also reflected, such as the insufficient cross-border governance that results from its formal structural characteristics, its large size, its scarce financial resources, the ambiguity of authority, its historical inheritances, as well as its hypoplastic identity. The CE's economy remains fragmented and considerably backward. As yet, there is no consensus regarding the future image of the CE.
Empirical model for quantification of confidentiality in OO system

The coupling or aggregation binds together the different entities or components within the system. An external process when takes or try to take the control of the system will be assisted in its action if the underlying system is highly coupled. A highly coupled design degrades the ability of software to defend against exploitation. Thus from a software developer’s point of view, we must provide so much security at design time that no one outside the system should be able to access in unauthorized way. It is to insure that information leakage is minimal (if not zero as is desired theoretically). This research work done quantitatively, describes the ability of object oriented coupling metrics to predict faulty classes. There are two major section of this paper. One section covers the ability of multi layer neuron perceptron model for prediction of faulty classes and in other section we have proposed and validated a statistical model for confidentiality using data set of dif-ferent releases of apache velocity project so as to quantify the effects of coupling on confidentiality of system.
Capital efficiency and market value in knowledge and capital-intensive firms: an empirical study

The increasing gap between market and book value allows us to understand that firms’ value is based not only on physical but also on intangible assets. Intellectual capital resources are very important, especially in knowledge-intensive but also in capital-intensive industries. The main aims of this work are: (1) to propose a methodology based on the value added components, starting from Pulic’s point of view (Pulic, 1998; 2000; 2008), which is able to discriminate between knowledge-intensive and capital-intensive industries; (2) to investigate the relationship between intellectual capital efficiency and market value (and between physical capital efficiency and market value) for firms belonging to both knowledge and capital-intensive sectors.
Compositional data analysis in archaeometry

We shall call an n × p data matrix fully-compositional if the rows sum to a constant, and sub-compositional if the variables are a subset of a fully-compositional data set1. Such data occur widely in archaeometry, where it is common to determine the chemical composition of ceramic, glass, metal or other artefacts using techniques such as neutron activation analysis (NAA), inductively coupled plasma spectroscopy (ICPS), X-ray fluorescence analysis (XRF) etc. Interest often centres on whether there are distinct chemical groups within the data and whether, for example, these can be associated with different origins or manufacturing technologies
Comparison of wood and cubic spline models for the first lactation curve of Jersey cows.

The aim of this study was to compare two different lactation curve models (Woodand cubic spline regression model in two knots: CSR1 and CSR2), and to find the best model that provided a good description of the first lactation curve of Jersey cattle herd.A total of 5304test-day milk yield records from monthly recording of 533the first lactation between 1984 and 2008 in Karakoy Agricultural State Farm in Samsun (Turkey). To compare the models, mean square error, coefficient of determination, a djusted coefficient of determination and Durbin Watson autocorrelation values were used. The results showed that CSR2 model which has minimum mean square error (1.910), maximum R 2 (0.910) and adjusted R 2 value (0.799) performed the best fit to the data and allowed a suitable description of the lactation curve. It was understoodthat the CSR2 model provided accurate estimates of milk yield for first lactation. Consequently, the usage of CSR2 model would provide some useful information on management decisions and genetic evaluation of the Jersey cows for milk production.
Strategic environmental assessment - concept and practice

Strategic Environmental Assessment (SEA) is a tool for including environmental considerations into policies, plans, and programs at the earliest stages of decisionmaking. SEA extends the application of environmental assessments (EAs) from projects to policies, programs, and plans. Ideally, SEA is participatory, giving voice to those affected by policy, programs, and plans. While there is considerable debate regarding what constitutes an SEA, it is increasingly recognized as a continuum of approaches, rather than a single, fixed approach. At one end of the spectrum SEA focuses on integrating environmental effects into higher levels of decision-making. At the other end of the spectrum are sustainability assessments which take into account not only the environmental effects of policy, programs, and plans but also their social and economic effects on current and future generations. The purpose of this Note is to inform World Bank task managers about SEA and its use as a tool at the World Bank. We begin by briefly sketching the evolution of the SEA concept, summarizing regional and country approaches to SEA, and describing how SEA is being undertaken in activities supported by the World Bank.