Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessing the effectiveness of drawing an autobiographical memory as a mood induction procedure in children

Abstract The objective of our study was to examine the effectiveness of a new version of the autobiographical recall procedure (i.e., drawing a happy personal event) in eliciting a positive mood in 6-, 8-, and 10-year-old children and to compare the drawing condition to the more classical telling condition. The mood of children was assessed before and after induction using the Self-Assessment Manikin (SAM) and across the two emotional dimensions of valence and arousal. The results showed that the drawing condition was as effective as the telling condition for inducing a positive mood. Furthermore, in the drawing condition, children reported feeling calmer than in the telling condition, suggesting that drawing was more likely to help children regulate their emotional state. The drawing procedure could be used in future research aiming to induce positive moods in school-aged children, to help further investigate the relationship between cognition and emotion.
Fiscal Policy, Housing and Stock Prices

This paper investigates the link between fiscal policy shocks and movements in asset markets using a Fully Simultaneous System approach in a Bayesian framework. Building on the works of Blanchard and Perotti (2002), Leeper and Zha (2003), and Sims and Zha (1999, 2006), the empirical evidence for the U.S., the U.K., Germany, and Italy shows that it is important to explicitly consider the government debt dynamics when assessing the macroeconomic effects of fiscal policy and its impact on asset markets. In addition, the results from a VAR counter-factual exercise suggest that: (i) fiscal policy shocks play a minor role in the asset markets of the U.S. and Germany; (ii) they substantially increase the variability of housing and stock prices in the U.K.; and (iii) government revenue shocks have apparently contributed to an increase of volatility in Italy.
A New Integral Equation Formulation for Scattering of Electromagnetic Waves by 2D Conducting Structures, Using Cylindrical Harmonics

Using cylindrical harmonics and Fourier series, a new integral equation formulation is derived for perfectly conducting 2D scattering problems. This new integral equation is based on the fact that, all of the electric and magnetic fleld components are zero inside a perfect electric conductor. The incident and scattered flelds are expressed in the cylindrical coordinate system with respect to a common origin inside the scatterer, using the addition theorem for Bessel and Hankel functions. The resulting electric or magnetic fleld is set equal to zero for all the points inside the largest cylinder that is contained in and tangent to the surface of the scatterer. As a result the fleld point variables are eliminated from the integral equation and only the source points are present in this formulation. Therefore the size of the problem is reduced considerably. A dramatic improvement in the computation speed is seen compared to the classical method of moments. TE and TM scattering problems are considered and the integral equation formulation is derived and solved for both cases.
Water Quality Assessment of Sager Creek Utilizing Physiochemical Parameters and a Family-Level Biotic Index

An annual rapid bioassessment and physiochemical survey of Sager Creek in Northwest Arkansas was conducted. Sager Creek is a first to second order stream that flows through the city of Siloam Springs, AR. Invertebrate collections and water samples were collected at three different reaches, with the most downstream reach being below the effluent of the Siloam Springs Wastewater Treatment Plant. Benthic arthropods were collected, identified, and counted to produce a family-level biotic index and a family-level index of diversity. Statistical analysis revealed that these indices were significantly different for the effluentinfluenced reach. However, this difference could not be correlated to any measured physiochemical parameter.
Geo-Spatial Modelling of Habitat Suitability of wildlife species of Kuno Wildlife Sanctuary

Predicting species habitat in a wildlife sanctuary is essential in management and conservation process of the species. Habitat map appear most capable of providing information on the distribution of large numbers of species in a wider variety of habitat types. Integrated GIS and Remote Sensing have already successfully been applied to map the distribution of several plant and animal species, their ecosystems, landscapes, bio-climatic conditions and factors facilitating invasions. The present study is carried out using the technologies of Remote Sensing and GIS to predict and model the habitat suitability of some herbivorous species of Kuno Wildlife Sanctuary for better management and conservation in a cost-effective way. The paper presents the habitat suitability of the various wildlife species found in the sanctuary. The sanctuary was categorized into 9 habitats - Mixed forest, Dense Forest, Open Forest, Kardhai forest, Khair- Kardhai forest, Dhawa forest, Khair forest, Dry/ Barren land and Water bodies using supervised classification. Wildlife species were surveyed using point count and distance sampling techniques while registering the coordinates with a GPS from 2008 to 2010. Geo-statistical Kriging and Co-Kriging methods were used to calculate the predictable habitat of the wild prey species encountered taking into account the proximity to water availability, habitat type, slope, aspect, distance from human habitats, etc. Keywords- Remote Sensing, GIS, Geo-statistical Kriging, Wildlife Species, Habitat Suitability Map
Using Fast Multipole Method for Magnetic Field Calculation in Complex System of Current Coils

The paper presents the approach to a magnetic field calculation, based on the fast multipole method. The implemented approach has been applied to the calculation of the magnetic field generated by a group of current coils of the electron cooling system of the charged particles accelerator. The analysis of computational costs and calculations accuracy of the multipole approach is given based on the obtained field calculation results for the system containing a large number of coils.
Renting versus Owning and the Role of Income Risk

For most households, choosing whether to rent or buy a home is a difficult, multifaceted problem. It is well-established that relative cost and affordability aspects are important for the household's tenure decision, such as the tax treatment of owner-occupied homes, the cost of moving home, and credit constraints. But risk aspects might also play a role. Not only do households have to grapple with the uncertainties of future movements of rents and house prices, but also with the exposure to labor income risk, which varies across professions and regions. Correlation between these risks may influence the rent or buy decision, because fluctuating rents may allow diversification. In this study, we empirically investigate the impact of regional rent risk, its co-movement with profession specific labor income risk, mobility needs, and wealth constraints on the tenure mode decision of German households. We use the SocioEconomic Panel Study to construct constant-quality regional rent indices and constant-quality income indices for homogenous professions. We find that factors such as rent risk, mobility needs, and wealth constraints have the expected impact on households' tenure mode decisions. We also obtain some evidence that households also use the tenure choice to diversify risk. In the aggregate, the correlation between average rental shares and income-rent correlation in a profession-region panel is positive, though small. Pooled probit estimates and dynamic panel probit estimates, that control for unobserved heterogeneity, provide further support for the positive impact of the correlation between labor income risk and rent risk on tenure mode decisions.
Experimentally consistent atomistic modeling of bulk and local structure in liquids and disordered materials by empirical potential structure refinement

Abstract This article presents an overview of the use of the empirical potential structure refinement (EPSR) technique for generating three-dimensional atomistic models of liquids and structurally disordered solids that are consistent with experimental neutron and X-ray scattering data. The extension of this technique through the calculation of extended X-ray absorption fine structure (EXAFS) spectra is outlined, and the benefits of this are demonstrated for a range of systems and in particular for our ability to address structural questions of importance in solution chemistry. The model systems chosen as examples for structural analysis are (i) liquid gallium, (ii) silica glass, and (iii) a 1 m aqueous solution of YCl3. The advantages of this analytical approach for addressing chemically specific structural questions in disordered systems are discussed within the context of the experimental alternatives based on the techniques of neutron scattering with isotopic substitution and anomalous X-ray scattering.
ERSD-2010-07 Date : February 2010 World Trade Organization Economic Research and Statistics Division What Constrains Africa ' s exports ?

We examine the effects of transit, documentation, and ports and customs delays on Africa’s exports. We find that transit delays have the most economically and statically significant effect on exports. A one day reduction in inland travel times leads to a 7 percent increase in exports. Put another way, a one day reduction in inland travel times translates into 1.5 percentage point decrease in all importing-country tariffs. In contrast, longer delays in the other areas have a far smaller impact on trade. We control for the possibility that greater trade leads to shorter delays in three ways. First, we examine the effect of trade times on exports of new products. Second, we evaluate the effect of delays in a transit country on the exports of landlocked countries. Third, we examine whether delays affect time-sensitive goods relatively more. We show that large transit delays are relatively more harmful because of high within-country variation.
Export Productivity and Specialization in China, Brazil, India and South Africa

This paper analyses the patterns of export productivity and trade specialization profiles in the China, Brazil, India and South Africa, and in other regional groupings. In doing so, the investigation calculates a time varying export productivity measure using highly disaggregated product categories. The findings indicate that export productivity is mainly determined by real income and human capital endowments. Importantly, the study reveals significant differences in the export productivity and specialization patterns of countries with comparable per capita income levels. For instance, China? s export productivity and implied export sophistication is in line with that of countries with higher per capita incomes, including some OECD industrial economies.
Is sexual size dimorphism similar irrespective of the origin of the goose breed

Sexual dimorphism, defined as a phenotypic difference between males and females of a particular species, is a common phenomenon in animals. Rensch’s rule describes the pattern of sexual size dimorphism (SSD) and claims that larger species generally exhibit higher male to female body size ratios. Domesticated animals offer excellent opportunities for testing predictions of functional explanations of Rensch’s theory. In this paper, predictions were tested in geese by evaluating SSD in 70 breeds of domestic geese from different geographic origins (34 from Asian origin and 36 from European origin) which were compared to their wild relatives (genus Anser, 12 species). The data indicated that the body mass of different goose breeds were consistent with the Rensch’s rule, where the allometry of SSD was significantly positive. Second, despite varying selective forces, scaling of SSD with body mass did not diverge according to breed origins (Anser anser and A. cygnoides groups).
Semi-Virtual Laboratory Design for Photovoltaic Generator Characterization Performance

This paper present a study of the photovoltaic generator (PVG) performance. It basing on comparison between characterizations obtained in real time test and simulated ones using mathematical models. This study is evaluated by the design of a semi-virtual laboratory, which is composed on a hardware support based on the developed data acquisition system in real operating conditions and a software support based on mathematical models descriptions. T his laboratory permits to identify PVG parameters using correlation between measurements and simulated characteristics.
Reproductive biology NLRP 7 andKHDC 3 L , the twomaternal-effect proteins responsible for recurrent hydatidiformmoles , co-localize to the oocyte cytoskeleton

study question: What is the subcellular localization in human oocytes and preimplantation embryos, of the two maternal-effect proteins, NLRP7 and KHDC3L, responsible for recurrent hydatidiform moles (RHMs)? summaryanswer: NLRP7 and KHDC3L localize to the oocyte cytoskeleton and are polar and absent from the cell-to-cell contact region in early preimplantation embryos. what is known already: NLRP7 and KHDC3L expression has been described at the RNA level in some stages of human oocytes and preimplantation embryos and at the protein level by immunohistochemistry in human and bovine ovaries. NLRP7 and KHDC3L co-localize to the microtubule organizing center and/or the Golgi apparatus in human hematopoietic cells. study design, size, duration: A total of 164 spare human oocytes and embryos from patients undergoing in vitro fertilization were used. participants/materials, setting, methods: Oocytes and early cleavage-stage embryos were fixed, immunostained with NLRP7 and/or KHDC3L antibodies, and analyzed using high-resolution confocal immunofluorescence and electron microscopies. main results and the role of chance: NLRP7 and KHDC3L localize to the cytoskeleton and are predominant at the cortical region in growingoocytes. After the first cellular division, these two maternal-effect proteins become asymmetrically confined to the outer cortical region and excluded from the cell-to-cell contact region until the blastocyst stage where NLRP7 and KHDC3L homogeneously redistribute to the cytoplasm and the nucleus, respectively. limitations, reasons for caution: We could not analyze fresh human oocytes and embryos. The analyzed materials were donated by patients undergoing assisted reproductive technologies and released for research 1–3 days after their collection and the transfer of embryos to the patients. wider implications of the findings: Our study is the first comprehensive and high-resolution localization of the only two known maternal-effect proteins, NLRP7 and KHDC3L, in human oocytes and preimplantation embryos. Our datacontribute to a better understanding of the roles of these two proteins in the integrity of the oocytes, post-zygotic divisions, and cell-lineage differentiation. study funding/competing interest(s): This work was supported by the Canadian Institute of Health Research (86546 to R.S.); E.A. was supported by fellowships from the Research Institute of the McGill University Health Centre and a CREATE award from the Réseau Québécois en Reproduction. All authors declare no conflict of interest.
Simulation and optimization of salt-production process from desalination brine

A novel multi-salt crystallization process is presented to separate the salts from the desalination brine and is optimized using the gradual optimization integration strategy based on T-H diagram. Firstly, the process is simulated by Aspen Plus software to obtain the cold and hot load curve and the bottlenecks and unreasonable heat transfer processes are analysed. Secondly, considering the energy utilization and conversion procedure, the turbine and/or heat pump are introduced to improve the process. Then the parameters of production process and utility system are adjusted. Thirdly, the new stream information is obtained by process simulation and the new composite curves are drawn, which will guide the further adjustment of the system. If the new composite curves do not satisfy the process demand, then the above steps are repeated. Through several improvements, two approximate parallel hot and cold stream curves are constructed. The hot streams and cold streams are maximum possible matched, and the amount of utility and power consumption is significantly reduced. In a case study, two optimization schemes are adopted: the feed brine is preheated by the flash steam and the heat pump crystallization technology is introduced. The results show that the energy consumption of two optimized processes is 94.8 kW and 90.1 kW, and the total energy loss decreased 86.7 % and 87.3 %. Powered by TCPDF (www.tcpdf.org) PRES17 conference
Spectral Correlations in Speaker-Listener Behavior During a Focused Duo Conversation using EEG

With computational methods enabling study of cognitive activities in the brain, a common research topic includes identifying complex patterns and correlations relating activity and brain dynamics. Verbal or nonverbal signals that transmitted or received during communication in the brain of a speaker and a listener during their communication can be analyzed with electroencephalogram (EEG) signals. The main goal of this study was to analyze speaker-listener synchrony during verbal and nonverbal communication within EEG spectra. Three sets of experiments were performed including one for verbal communication and two for non-verbal communication 5 trials with 8 volunteering subjects were included. Speaker and listener spectra in verbal communication had strong correlations in the anterior frontal lobe of the brain attributed to control functions related to problem solving, memory, language and judgment. Speaker/listener spectra of non-verbal communication suggests enhances differences in neural activity in the frontal lobe of the brain. A synchrony between speaker and listener was noticed in both cases. This correlation study suggests brain-to-brain synchronization was more in alpha and beta rhythms which could be exploited in brain-machine interfaces.
A Generic Thermodynamic Equilibrium Model-Based Framework For Biomass Gasification Processes

In this paper a generic thermodynamic equilibrium model-based framework for biomass gasification processes has been developed. The designed framework contains a modelling for downdraft and fluidized bed gasifier. A biomass database has been developed as a supporting tools for this framework enabling this framework applicable to study a wide range of biomass gasification processes. Application of this framework has been highlighted based on two objectives. The first objective is to validate the thermodynamic equilibrium model for downdraft gasifier using wood and for fluidized bed gasifier using rice husk respectively. The predicted model shows a good agreement with literature data in terms of gas compositions produced indicating a reliable and valid model is achieved. In addition the performance analysis is performed as a second objective to investigate the optimum parameters for downdraft and fluidized bed gasifiers using wood, rice husk, saw dust and empty fruit brunch. Based on this analysis, the optimum parameters obtained are at temperature 770°C with moisture content of 0.2 and steam biomass ratio 1.32, where the hydrogen gas produced from wood, rice husk, sawdust and empty fruit bunch in downdraft gasifier is 16.38%, 17.02%, 15.11% and 50.12 % respectively, while in the fluidized bed gasifier is 38.75%, 50.12%, 73.24% and 71.77% respectively. The result of the performance analysis shows that the fluidized bed gasifier is more efficient than downdraft gasifier in term of hydrogen gas production.
Combining Genomic and Classical Information in National BLUP Evaluations

Blending genomic information with classical performances into a joint BLUP analysis has some appealing features, in particular its simplicity and its potential ability to account for genomic preselection of young sires. A simple approach consists in computing specific genomic equivalent daughters contributions and genomic equivalent daughter performances. Two cases are presented here, depending on the way genomic evaluations are performed: using prediction equations or BLUP with a genomic relationship matrix. It is shown through a small example that genomic EDC should be computed with caution to avoid double-counting, especially when closely related animals are genotyped. Otherwise, bias results and inflated reliabilities are obtained.
How to Develop Company Performance Appraisal System in Highly Regulated Business Sector : Case Study of Commercial Explosives Producer

This research aims to learn on how to develop company performance appraisal sistems in business sector that is highly limited by government regulations. The object of study is PT XYZ that is running business in commercial explosives production and distribution in Indonesia. The performance appraisal will be developed based on Balanced Scorecards (BSC) concept. The objectives of the research is analyzing the internal factor and external factor of the company, and developing a strategy map based on the BSC perspectives, and developing performance appraisal system for the company. Company strategy components such as vision, values and main strategy will be integrated in to the process to get final appraisal systems that is in line with internal company values and capable to support the company to overcome the external challenges.The benefit of this research is to assist the company in developing a strong and solid internal system in order to be able to run the explosive business on an ongoing basis.Customer perspectives is the most prioritized items in the appraisal systems in this type of business due to limited number of customers, high volatility of the customer business situation which is mining industry and high level of business competition. Customer prespectives is also represent most of external factors including how the company anticipate the business regulation changes whichs is oftenly unpredictable.
Generation of Bessel Surface Plasmon Polaritons in a Finite-Thickness Metal Film

A theory of generation of low- and high-index Bessel surface plasmon polaritons and their superposition in a metal film of a finite thickness is developed. Correct analytical expressions are obtained for the field of two families of Bessel surface plasmon polariton modes formed inside and outside the metal layer. The intensity distribution near the boundary of the layer has been calculated and analyzed. A scheme for the experimental realization of a superposition of Bessel surface plasmon polaritons is suggested. Our study demonstrates that it is feasible to use the superposition of Bessel surface plasmon polaritons as a virtual tip for near-field optical microscopy with a nanoscale resolution.
Fisher Hypothesis Revisited: A Fractional Cointegration Analysis

This paper investigates the validity of the Fisher hypothesis using data from thirtythree developed and developing countries. Conventional cointegration tests do not provide strong evidence for a relation between nominal interest rates and inflation. Therefore, we use fractional cointegration analysis to test the long-run relationship between the two variables. The results indicate that a long-run relation between nominal interest rates and inflation does not appear for most countries in the sample when the conventional cointegration test is employed. However, fractional cointegration between the two variables is found for a large majority of countries, implying the validity of the Fisher hypothesis. The results also indicate that the equilibrium errors display long memory.