Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Maternal Mental Health on Cognitive Achievement of Children: Evidence from Ethiopia

This study examines the association between maternal mental health and cognitive achievement of Ethiopian children. It matches more than 1300 children and their mothers using two rounds of the Young Lives data set, which contains a relatively large sample size, unique outcome variables (test of cognitive achievement-PPVT and CDA), that allow less scope for bias of the test con-ductors, and rich set of control variables capturing child and household specific characteristics. Many early childhood studies argue that maternal depression at an early age of the child can have a lasting impact on cognitive achievement at later ages. This claim has important policy implications, as there is well documented evidence that early childhood cognitive achievement significantly affects future life outcomes. If maternal mental health is significant in affecting the cognitive achievement of children, then it means that attention should be paid to maternal mental health not only for the sake of the mother but also for the child. That is, policy concern on maternal mental health should not be focused merely on maternal health but rather, should go beyond and become the issue of generational wellbeing since the effect trickles down to the child. The results of this study, however, suggest that maternal (postnatal) depression when a child is about one year old does not have any association with the cognitive achievement of the child five years later. In addition, maternal depression is not associated with child nutritional status. However, higher self-esteem of the mother is found to have a positive and significant association with child cognitive achievement but not with child nutritional status. The possible implication is that maternal mental health per se is not a problem at least from the prospective of child cognitive achievement as the former was not (negatively) associated with the latter.
Adjustment Behaviour of Leverage in Chinese Firms: An Empirical Analysis of Overall Firms, State-owned and Non State-owned Enterprises

This study investigates the adjustment behaviour and adjustment speed of Chinese firms with regards to capital structure. For this purpose, the study utilises an extensive set of data of 867 A-Listed non-financial Chinese firms over ten years from 2003 to 2012. This study adds useful insights on adjustment behaviour and speed of Chinese firms with regards to firm-specific and country level determinants of leverage policy. To find out the adjustment speed, the study uses multiple generalised method of moments (GMM) for the purpose of robustness. Both of the GMMs report positive and their adjustment coefficients are statistically significant which implies that Chinese firms follow a target level of leverage by adjusting their current leverage policy. Chinese firms take almost 3.5 years for adjustment. The analysis is extrapolated to state owned enterprises (SOEs) and non-state owned enterprises (NSOEs) and it is found that SOEs take longer time to adjust to their leverage policy as compared to NSOEs. The results are consistent for both Arellano Bond (GMM1) and Blundell and Bond (GMM2) dynamic panel data models.
Investigation of collar properties on data-acquisition scheme for acoustic logging-while-drilling

ABSTRACTWe have used the wavenumber integration, velocity-time semblance, and dispersion methods to investigate the influence of collar properties including velocities, density, and attenuation on acoustic logging-while-drilling wavefields. We have found that when the velocities of the collar wave and the P-wave of the formation are similar, they interfere. However, the interference disappears when the velocity difference increases. Having a collar with large velocities (especial large shear velocity) and density makes the direct P-velocity determination possible in a fast formation even without isolators. For a slow formation, the interference of the collar flexural wave with the formation flexural and leaky P-waves is slight for a dipole tool when collar velocities are large. For this case, the S velocity can be determined by the flexural formation wave at low frequency (approximately 2 kHz). Based on these observations, we propose that the measurement of the P- and S-velocities can be easier if the col.
Progress in Low Transformation Temperature (LTT) Filler Wires: Review

Excessive tensile residual stresses and distortion may develop in welding of steels depending on the phase transformation temperature as it plays an important role on their formation during welding. The development of distortion in the welded steel structures lead to timeenergy consuming and environmentally detrimental correction operations whereas the presence of tensile residual stresses may intolerably dagrade the fatigue properties of the welded components. The amount of distortion developed in steel welds may be reduced and compressive residual stresses can be induced without any preheating or postweld treatment by lowering the transformation temperature with the use of proper filler wire, i.e. so-called low-transformation-temperature (LTT) welding wire. Thus, the welded structures with compressive residual stresses display better properties such as fatigue life, stress corrosion cracking (SCC), resistance to cold-cracking, and service life properties. However, the fracture toughness may be reduced slightly. The residual stresses and distortion developed in high stregth steel welded structures play an important role on the reliability and cost efficiency of these joints. In this study, the state-of-art of the low transformation temperature filler wires, which is recently developed by tailoring its chemical composition to lower the MS temperature, and their effects on the residual stress formation, fatigue life, and cold-cracking are discussed in detail.
Multi-output current source with ripple cancellation by optimal magnetic components

High integration, high power density has become the development trend of power supply. Computer, automobile and aviation often require multiple output power, in order to meet all kinds of load, and the filter of current type output for the power supply should be a larger challenge. The input voltage becomes wide and high, and each output is low voltage with large current. Compared to the non-isolation topologies, isolation topologies have better ability of step-up/down. In this paper, the two-stage converter structure is used, in which the forward stage is used to step down the amplitude of the input voltage, and the backward stage achieved precisely multiple current output with independent control. Also optimization and design of the transformer and output filters have been made clearly, to solve the problems of cross regulation, stability, and dynamic response in traditional structure. Finally, four-currentoutput prototype with 80-100V input, 8A/10V, 8A/10V, 6A/20V, and 6A/20V outputs is built, and the analysis is verified by the experimental results.
Geostatistical Methods for Disease Mapping and Visualisation Using Data from Spatio‐temporally Referenced Prevalence Surveys

In this paper, we set out general principles and develop geostatistical methods for the analysis of data from spatio‐temporally referenced prevalence surveys. Our objective is to provide a tutorial guide that can be used in order to identify parsimonious geostatistical models for prevalence mapping. A general variogram‐based Monte Carlo procedure is proposed to check the validity of the modelling assumptions. We describe and contrast likelihood‐based and Bayesian methods of inference, showing how to account for parameter uncertainty under each of the two paradigms. We also describe extensions of the standard model for disease prevalence that can be used when stationarity of the spatio‐temporal covariance function is not supported by the data. We discuss how to define predictive targets and argue that exceedance probabilities provide one of the most effective ways to convey uncertainty in prevalence estimates. We describe statistical software for the visualisation of spatio‐temporal predictive summaries of prevalence through interactive animations. Finally, we illustrate an application to historical malaria prevalence data from 1 334 surveys conducted in Senegal between 1905 and 2014.
Connection between Bilingualism and Executive Functions in Hungarian-Serbian Bilinguals

Many studies have reported advantages in executive control for bilingual children and also adults. Previous results has shown that bilinguals show significant difference when they should focus on the differences between the form and the meaning, as well as in non-verbal problems when they have to ignore the incongruent information, so bilinguals are able to quickly notice any changes in their environment and they can quickly adapt to these changes. The present study examined 80 adults, who were Hungarian monolinguals and Hungarian-Serbian bilinguals, performing a Go-Nogo task, Wisconsin Card Sorting task, Number Stroop task and Simon task from the PEBL Psychological Test Battery 2.0. Bilinguals outperformed monolinguals on these tasks, confirming previous results for a bilingual advantage in executive functions. The results show that the advanced executive functions in childhood caused by bilingualism will give advanced executive functions in adulthood, which will provide an improved solution and execution in everyday life.
Stripes in a three-chain Hubbard ladder: A comparison of density-matrix renormalization group and constrained-path Monte Carlo results

Using both the density-matrix renormalization group method and the constrained-path quantum Monte Carlo method, we studied the ground-state energies and the spin and hole densities of a 12x3 Hubbard model with open boundary conditions and six holes doped away from half-filling. Results obtained with these two methods agree well in the small and intermediate U regimes. For U/t{>=}6 we find a ground-state with charge inhomogeneities consistent with stripes. (c) 2000 The American Physical Society.
Environmental Federalism: A Panacea or Pandora's Box for Developing Countries?

This paper provides new empirical evidence to the debate on the optimal locus of power over environmental policymaking in developing countries. The authors develop a simple lobby group model with mobile capital. The model predicts that a decentralized institutional structure leads to weaker environmental policy due to more intensive lobbying by capital owners and workers. They test this prediction using novel cross-sectional developing country data. The results are consistent with the prediction of the model, in particular for air pollution policies. The authors also find that the effect of decentralization declines with a greater degree of trade openness. They believe this is the first developing country evidence on the environmental policy effects of federalism.
Automatic linearity detection

Given a function, or more generally an operator, the question "Is it linear? " seems simple to answer. In many applications of scientific computing it might be worth determining the answer to this question in an automated way; some functionality, such as operator exponentiation, is only defined for linear operators, and in other problems, time saving is available if it is known that the problem being solved is linear. Linearity detection is closely connected to sparsity detection of Hessians, so for large-scale applications, memory savings can be made if linearity information is known. However, implementing such an automated detection is not as straightforward as one might expect. This paper describes how automatic linearity detection can be implemented in combination with automatic differentiation, both for standard scientific computing software, and within the Chebfun software system. The key ingredients for the method are the observation that linear operators have constant derivatives, and the propagation of two logical vectors, $\ell$ and $c$, as computations are carried out. The values of $\ell$ and $c$ are determined by whether output variables have constant derivatives and constant values with respect to each input variable. The propagation of their values through an evaluation trace of an operator yields the desired information about the linearity of that operator.
Contingent Factors Affecting the Financial Performance of Manufacturing Companies: The Case of East Java, Indonesia

Manuscript type: Research paper. Research aims: This study aims to examine how contextual variables which include innovation strategy, management accounting infor- mation system and internal business process performance affect the financial performance of manufacturing companies in East Java, Indonesia. Design/ Methodology/ Approach: This study employs a quantitative approach to explain the relationship among the variables. The data of 135 managers were collected and then analysed through the partial least squares (PLS) approach. Research findings: Results show that management accounting infor- mation system and business process performance partially mediate the innovation strategy-financial performance relationship. Theoretical contributions/ Originality: This study expands on pre- vious works by investigating the roles of management accounting information system and internal business process performance as mediating variables between innovation strategy and firm’s financial performance. Practitioner/ Policy implications: This study provides insights into how management accounting information system and internal busi- ness process performance impact innovation strategy and financial performance. The results imply that managers need to improve the design and implementation of their accounting system and their internal business process performance. This initiative can support the firm’s innovation strategy which impacts on the firm’s financial performance. The implications drawn from this study justify two things: (1) firms need to be more proactive in their product and process innovations so as to remain competitive in the global market; and (2) managers need to develop intangible assets such as a management accounting information system in the era of knowledge economy. Research limitation: This study focusses on the manufacturing companies of the East Java Province of Indonesia therefore, general- isability of the findings may be restricted. Future studies need to incorporate larger and more diverse samples. This study did not consider the companies’ business life cycle hence, the full impact of the firms’ financial performance may not have been captured. Keywords: Financial Performance, Innovation Strategy, Internal Business Process Performance, Management Accounting Information System. JEL Classification: M41
Observations of elemental carbon and absorption during ACE‐Asia and implications for aerosol radiative properties and climate forcing

[1] Measurements of elemental carbon (EC) during the Asian Pacific Regional Aerosol Characterization Experiment (ACE-Asia) show that significant amounts of EC were found in the coarse particle phase during yellow sand events. Coagulation during long-range transport is consistent with this observation. The daily averaged specific mass absorption efficiencies of EC were calculated, yielding values of 12.6 ± 2.6 and 14.8 ± 2.3 m2/g for PM10 (particulate matter <10 μm diameter) and PM1, respectively. On a limited number of days, the absorption efficiency for the coarse particles only (PM10 − PM1) was determined to be 5.7 ± 1.6 m2/g during dust days and 2.0 ± 1.0 m2/g for nondust days. These measurements suggest that fine particulate EC was internally mixed and that the dust was possibly somewhat absorbing. Specific mass absorption efficiency was observed to be inversely related to EC mass concentration, a result that does not appear to reflect only air mass aging effects. We speculate that if this observation holds on a global scale, it would reduce the effectiveness of a strategy for mitigating climate change by reducing EC emissions. Model simulations of idealized nonspherical dust radiative properties predict that scattering is strongly (by nearly a factor of 3) dependent on geometry, while absorption is a very weak function of geometry. The net change in shortwave absorption by polluted dust layers due to coagulation of EC with dust is predicted by model calculations to range between −42% and +58%, depending on the assumption about the initial mixing state of the EC and the dust optical properties, with the observations supporting values in the range of −10 to −40%.
Does corporate internationalization contribute to companies’ operational efficiency? Evidence form Russian companies

Corporate international diversification has become a widely used growth strategy. However, the majority of scientific researches insist on its value-destroying pattern. As most of these researches are focused on companies from the developed countries the experience of companies from developing countries remains fairly unexplored.The current paper proposes an estimation of internalization-performance relationship from operational efficiency prospect. The proposed model has been empirically tested on a sample of large Russian companies. The results identify a non-linear U-shape relationship between a degree of internationalization and companies’ return on capital employed. Overall for the majority of companies international diversification refers to diminish in operational efficiency.
Aalborg Universitet Decentralized Coordinated Control Strategy of Islanded

Users may download and print one copy of any publication from the public portal for the purpose of private study or research. You may not further distribute the material or use it for any profit-making activity or commercial gain ? You may freely distribute the URL identifying the publication in the public portal ? Take down policy If you believe that this document breaches copyright please contact us at vbn@aub.aau. dk providing details, and we will remove access to the work immediately and investigate your claim.
Access to Credit and Rice Production Efficiency of Rural Households in the Mekong Delta

Rice production in the Mekong Delta region accounts for more than 50% of Vietnam's total paddy production and 90% of its rice export volume. Therefore, increasing the efficiency of rice production systems and enhancing the comparative advantage of Vietnam's rice industry have been an important focus area for policy makers and researchers for many years. Access to credit has been identified as a key factor for improving rice production. This fact is validated in this study by considering the production and technical efficiency levels of rice production for a sample of farmers in the Mekong Delta. The study focuses particularly on the effects of both formal and informal credits on production levels and production efficiency by using a Stochastic frontier analysis and a quantile regression. By using the data from survey 300 rice production farmers in Mekong Delta in 2014, the results confirm the positive influence of credit on production and production efficiency. Both formal and informal credit appears to be important. The findings also imply that in order to improve the rice production outcomes, various possibles policy recommendation needed to be considered such as expansion of rura l credit systems, establishment more branches of agricultural and community banks, settlement the savings mobilization programmes and provision the "credit plus" services to the banks customers.
Generation of Concepts for Product-Service System

Product-service system (PSS) provides a strategic alternative to product-oriented economic growth and severe price competition in the global market. The objective of this research is to develop a systematic methodology to generate concepts for new PSSs, called a PSS concept generation support system. The models and strategies of more than ninety existing PSS cases are analyzed, and the insights extracted from the analysis are used to facilitate the concept generation process. The generated PSS concepts, after some screening and elaboration, can evolve to new business models for PSS.
A BRIEF REVIEW ON INORGANIC NANOPARTICLES

For the past few years there has been a significant research in the area of nanotechnology using nanoparticles. In the field of modern material science, inorganic nanoparticles are emerging as novel drug delivery system due to their unique physical properties that mainly include size dependent optical, magnetic, electronic, and catalytic properties. These nanoparticles possess high stability, large surface area, tunable compositions, abundant physicochemical multifunctionalities and specific biological behaviors. Biocompatible inorganic material-based nanosystems provide a novel choice to effectively surmount the intrinsic drawbacks of traditional organic materials in biomedical applications, especially in overcoming the multidrug resistance. The aim of this article is to review the types, synthesis methods and characterization techniques related to inorganic nanoparticles.
Integrability and Vesture for Harmonic Maps into Symmetric Spaces

After giving the most general formulation to date of the notion of integrability for axially symmetric harmonic maps from R^3 into symmetric spaces, we give a complete and rigorous proof that, subject to some mild restrictions on the target, all such maps are integrable. Furthermore, we prove that a variant of the inverse scattering method, called vesture (dressing) can always be used to generate new solutions for the harmonic map equations starting from any given solution. In particular we show that the problem of finding N-solitonic harmonic maps into a noncompact Grassmann manifold SU(p,q)/S(U(p) x U(q)) is completely reducible via the vesture (dressing) method to a problem in linear algebra which we prove is solvable in general. We illustrate this method by explicitly computing a 1-solitonic harmonic map for the two cases (p = 1, q = 1) and (p = 2, q = 1); and we show that the family of solutions obtained in each case contains respectively the Kerr family of solutions to the Einstein vacuum equations, and the Kerr-Newman family of solutions to the Einstein-Maxwell equations.
Literature Survey on Agile Information Systems Development

The principles of agile information systems development (ISD) have become an area of great interest for practice as well as research. So the goal of this literature survey is to validate, update and extend previous reviews in terms of the general state of research on agile ISD. The importance of theory is highlighted by evaluating the theoretical foundations and contributions of former studies besides including categories such as the employed research methods and data collection techniques. Since agile ISD is rooted in the IS as well as software engineering discipline, important outlets of both disciplines are included in the search process. The findings show that quantitative studies and the theoretical underpinnings of agile ISD are lacking. Extreme Programming is still the most researched agile ISD method, and more efforts on Scrum are needed. In addition, multiple research gaps that need further research attention are also identified.