Miracle-dz/UniFAR-FTUs huggingface dataset:
Economic Stagnation in Emerging Market Countries: Should Justify Keynes's law

This study aims to determine the aggregate demand factors that affect economic stagnation in middle-income emerging market countries, and whether Keynes's law can be a solution to solve the problem with increase demand. Using panel data from official sources such as the World Bank, several factors were tested to determine the effect on economic stagnation, at the 2010-2015 and 2010-2016 periods. By employing panel data modelling (with fixed effect model), the findings suggest that the decrease in household consumption, weak foreign investment, inefficient government spending and decreased export competitiveness have a significant positive effect on economic stagnation, while a low inflation rate has an insignificant effect on household consumption, as well as high lending interest rate have an insignificant effect on the decrease in the inflow of foreign direct investment. Therefore, Keynes's law must be applied appropriately by increasing aggregate demand to encourage declining economic growth through government interference.
Processing (In)Efficiency in the Second Language: Linguistic Experience and Cognitive Effects on Morphosyntactic Predictions.

ii Acknowledgments. iv LIST OF TABLES . viii LIST OF FIGURES . x Chapter I: Introduction to the Study . 1 1.1 Background . 3 1.2. Research Design.6 1.3 Broader Significance of the Study . 9 1.4 How the dissertation is organized . 9 Chapter II: Background and Literature Review . 11 2.1 Processing Models . 11 2.2 Predictive Mechansims . 14 2.3 Individual Differences in L2 Processing.35 2.4 Assumptions About the Structure of the Mental Representations of the Lexicon . 53 2.5 Linguistic Constructions . 55 2.6 Processing of Number Agreement in the L2 . 62 2.6. Conclusion . 65 Chapter III: Research Questions and Methods . 69 3.0 Introduction . 69 3.1 Research Questions and Hypotheses . 69
Predicting flight delay based on multiple linear regression

Delay of flight has been regarded as one of the toughest difficulties in aviation control. How to establish an effective model to handle the delay prediction problem is a significant work. To solve the problem that the flight delay is difficult to predict, this study proposes a method to model the arriving flights and a multiple linear regression algorithm to predict delay, comparing with Naive-Bayes and C4.5 approach. Experiments based on a realistic dataset of domestic airports show that the accuracy of the proposed model approximates 80%, which is further improved than the Naive-Bayes and C4.5 approach approaches. The result testing shows that this method is convenient for calculation, and also can predict the flight delays effectively. It can provide decision basis for airport authorities.
Attitudes toward Finance: A Focus Group Study on Women in Italy

In spite of the amount of research conducted on financial literacy, the literature offers little information about the role of attitude toward finance in financial achievement. This exploratory study aims to fill this knowledge gap by investigating the phenomenon of ‘attitude toward finance’, viewed as potentially connected to people's financial knowledge levels. The study focuses on a sample of 87 women aged between 19 and 65 years old in order to assess and compare their attitude to finance. Methodologically, this is a qualitative study based on focus group discussions. We find different ‘attitude profiles’ in our sample reflecting the complex interaction of affect with learning finance, cognitive competence, value, difficulty, and interest in finance. As might be expected, women with a specific educational or professional path in finance are found to have a more favourable attitude toward finance. Conversely, age appears to have no relationship with attitude toward finance. The implications of these findings for research and practice are discussed.
Positive and Negative Affect Mediate the Influences of a Maladaptive Emotion Regulation Strategy on Sleep Quality

Positive affect, negative affect, and emotion regulation strategies are related to sleep quality. Emotion regulation can also act as either a protective factor against the development of psychopathologies, or as a risk factor for their development, and therefore may be one mechanism linking mental health and sleep. However, currently it is not known whether affect can mediate the impact of emotion regulation strategy use on sleep quality. An opportunity sample in a healthy population completed the Positive and Negative Affect Schedule providing measures of positive and negative affect, the Pittsburgh Sleep Quality Index providing a measure of sleep quality, and the Emotion Regulation Questionnaire to record habitual use of emotion regulation strategies. Data were analysed using regression and mediation analyses. Negative affect and expressive suppression were positively correlated with PSQI score suggesting that as negative affect and expressive suppression use increased, sleep quality decreased. Positive affect was negatively correlated with PSQI score suggesting that as positive affect increased sleep quality improved. Further, mediation analyses revealed that both positive affect and negative affect mediated the impact of expressive suppression on sleep quality. Moreover, this partial mediation provides the first description that the influences of affect and expressive suppression on sleep quality are at least partially distinct. Targeting improvements in negative affect and effective emotion regulation strategy use may improve the efficacy of interventions aimed at improving sleep quality and the reduction in symptomology in psychopathologies.
Managerial Characteristics and Stock Market Investment: Evidence from China

We examine the effect of managerial characteristics on investment in the stock market by listed firms in China. Our empirical findings suggest that higher levels of cash&#8208;based compensation may increase both the propensity of investing in the stock market and the total amount of investment. On the other hand, managerial holdings discourage managers from investing in stock markets and also lead to a decrease in the amount of investment. This study sheds light on managerial risk&#8208;taking incentives. Moreover, this study fills the gap in the literature by providing evidence for the determinants of listed firms&#8217; stock market investment.
Quick Evaluation of Potential Difference on Al/Al3Fe Interface in a Conventional Transmission Electron Microscope

The potential difference in material, which will cause the corrosion in a wet environment, has been imaged using electron holography [1], Lorentz microscopy [2] and DPC method [3]. We have been developing an alternative method to visualize the electric filed in a conventional electron microscope with a thermal electron gun [4-6]. We have tried to observe a metal and metallic compound interface Al/Al3Fe in a polycrystalline commercial material.
Country Economic Memorandum for Sao Tome and Principe - Background Note 11

1. The purpose of this paper is to empirically evaluate the tourism performance of STP with respect to the main determinants that have been found in the literature. Tourism is clearly a comparative advantage of STP and already an important economic activity, however, STP is far from the characterization of a tourism-dependent small economy. Tourism represents 10.8 percent of GDP and the ratio between international inbound tourists and population is at 14.5 percent. See Table 1Error! Reference source not found. for a summary of how STP relates to other destinations. This puts STP as the 12th country in terms of size of direct contribution of the tourism sector to GDP and the 18th in terms of the ratio between tourists and population. Using data from different sources, this note analyzes STP’s tourism-related characteristics and uses different empirical tools to evaluate them vis-à-vis its peers.
Real-Time Sensor Management Strategies for Multi-Object Tracking. (Détermination et implémentation temps-réel de stratégies de gestion de capteurs pour le pistage multi-cibles)

Les systemes de surveillance modernes doivent coordonner leurs strategies d’observation pour ameliorer l’information obtenue lors de leurs futures mesures afin d’estimer avec precision les etats des objets d’interet (emplacement, vitesse, apparence, etc.). Par consequent, la gestion adaptative des capteurs consiste a determiner les strategies de mesure des capteurs exploitant les informations a priori afin de determiner les actions de detection actuelles. L’une des applications la plus connue de la gestion des capteurs est le suivi multi-objet, qui fait reference au probleme de l’estimation conjointe du nombre d’objets et de leurs etats ou trajectoires a partir de mesures bruyantes. Cette these porte sur les strategies de gestion des capteurs en temps reel afin de resoudre le probleme du suivi multi-objet dans le cadre de l’approche RFS labelisee. La premiere contribution est la formulation theorique rigoureuse du filtre mono-capteur LPHD avec son implementation Gaussienne. La seconde contribution est l’extension du filtre LPHD pour le cas multi-capteurs. La troisieme contribution est le developpement de la methode de gestion de capteurs basee sur la minimisation du risque Bayes et formulee dans les cadres POMDP et LRFS. En outre, des analyses et des simulations des approches de gestion de capteurs existantes pour le suivi multi-objets sont fournies
Multidimensional Data Analytics with Big Data Management

: Size is the first, and at times, the only dimension that leaps out when referring to big data. The rapid evolution and adoption of big data by industry has leapfrogged the discourse to popular outlets, forcing the academic press to catch up. This paper provides an overview on issues and achievements in the field of analytics over big data. The paper’s primary focus is on the analytic methods used for big data. The study explores the views on analytics over big multidimensional data as well, by highlighting open problems and actual research trends. The current study explores several novel research directions in big data which plays a leading role in next-generation Data Warehousing and OLAP research.
Crystallographic symmetry classifications of noisy 2D periodic images in the presence of pseudo-symmetries of the Fedorov type

Crystallographic symmetry classifications (CSCs) are a crucial part of the crystallographic processing of noisy 2D periodic images from crystals and crystal surfaces. Based on these classifications, the images can subsequently be corrected for having been recorded under suboptimal imaging conditions. For images that have been recorded within the weak-phase-object approximation of transmission electron microscopy, these corrections allow for the extraction of good estimates of the phase angles of the projected structure factors [1]. Good estimates of these phase angles are crucial for the solving of crystal structures by means of electron crystallography [1]. In case of scanning probe microscopy, crystallographic image processing allows for the correction of the effects of a blunt scanning probe tip [2,3]. Severe problems in the CSC of more or less 2D periodic images may arise from the co-existence of a large amount of imaging noise and pseudosymmetries of the Fedorov type [4]. Pseudo-symmetries of that particular type are compatible with a Bravais lattice that does not necessarily need to be the prevailing Bravais lattice of the hypothetical noise-free version of the image. In noisy 2D periodic images, these kinds of pseudo-symmetries are, therefore, difficult to distinguish from the genuine symmetries of that hypothetical image so that mis-classifications may result.
A mixed-methods investigation of parent-child posttrauma discussion and the effects of encouraging engagement

ABSTRACT Recent developments in the child trauma field include preventative interventions that focus on augmenting parental support. However, we have limited knowledge of how parents experience trauma conversations with children. We examined how parents and children experienced both spontaneous trauma conversations and a structured task in which they generated a joint trauma narrative, following the child’s experience of an acute trauma. Parent and child ratings of distress during the structured narrative were low for all 127 families that took part, with child ratings of distress being lower overall than parent ratings. Task-related distress was positively associated with parent and child PTSD symptoms. Thematic analysis of semi-structured interviews conducted with a subset of twenty parents identified both facilitators of (e.g. open and honest relationship with child) and barriers to (e.g. parent/child avoidance of discussion) spontaneous trauma-related conversations with their child. Additionally, parents described the structured trauma narrative task as an opportunity to start the conversation with their child, to understand their child’s feelings, and for the child to process the trauma. However, the task was also uncomfortable or upsetting for some parents/children, and resulted in parents becoming more overprotective. The findings can inform development of low-dose interventions that encourage families to engage in trauma-related conversations following child experiences of trauma. HIGHLIGHTS • Overall, parents and their children reported low distress levels when discussing the child’s trauma, although both parent and child were more distressed if the child or parent had high PTSS. • Parents reported facilitators (e.g. open and honest relationship) and barriers (e.g. avoidance of discussion) to spontaneous trauma-related conversations with their child. • Most parents considered a prescribed trauma-related discussion with their child as beneficial. • Results suggest a low-dose intervention encouraging families to discuss trauma would be well-received.
Potential Inter-Fuel Substitution between Hydroelectricity and Fossil Fuels in Nepal

In spite of huge hydro-electricity potential, Nepal still relies on fossil fuel to meet its energy demand. However, as the pace of hydroelectricity generation gets momentum in recent years, there are concerns about the excess supply of hydroelectricity in the domestic market in the near future. In this context, this paper examines the potential substitution of conventional fuels by the hydroelectricity in Nepal. Using translog production function, this paper calculates the elasticity of substitution between hydroelectricity, coal, gas, petrol, diesel, and kerosene for the period of 1980 to 2016. Our findings suggest that all the fuels except kerosene are positively associated with economic growth during the study period, and the output elasticity of hydroelectricity is found be largest among these sources of energy. The findings also suggest that hydroelectricity has the potential for substitute other conventional fuels if the share of hydroelectricity is increased in the energy consumption composition. While there is not a huge variation in the elasticity of substitution between hydroelectricity and other fuels, the hydroelectricity has relatively higher potential to substitute coal followed by petrol, diesel, kerosene, and gas. The findings of the paper are supportive of the hypothesis that Nepal could potentially absorb the hydroelectricity generated in near future if incentive mechanisms are initiated that allow substitution of conventional fossil fuels by the hydroelectricity.
Determinants of the Technical Efficiency of Maize Farmers in Burkina Faso

La presente etude analyse les determinants de l’efficacite technique des producteurs de mais au Burkina Faso. La frontiere stochastique de la fonction de production Translog a ete utilisee a partir de donnees en coupe instantanee de 275 producteurs. Les resultats montrent que les producteurs de mais ont un score d’efficacite technique moyen de 0,83. Ce qui signifie que les exploitants de mais produisent a 83% de leur capacite productive, et peuvent ainsi atteindre le niveau de leur production potentielle en accroissant leur efficacite technique de 17% sans utilisation supplementaire de facteurs de production. L’âge de l’exploitant, le sexe, la taille du menage, l’utilisation de semences ameliorees de mais, et de la fumure organique ont ete identifies comme facteurs explicatifs de l’efficacite technique des producteurs de mais dans la zone d’etude. En consequence, toute politique d’amelioration des niveaux d’efficacite technique des producteurs de mais au Burkina Faso doit necessairement s’appuyer sur ces variables. Mots cles: efficacite technique, fonction stochastique, fonction translog, mais, Burkina Faso Abstract This study aims to analyze the determinants of the technical efficiency of maize farmers in Burkina Faso. The stochastic frontier of the translog production function was used from cross-sectionnal data of 275 farmers. The results show that maize farmers have a score of technical efficiency average of 0.85. This means that maize farmers produce 83% of their production capacity, and can reach the level of their potential production by increasing their technical efficiency of 17% without additional use of production factors. The age of the farmer, the gender, the size of the household, the use of improved maize seeds and organic fertilizers have been identified as factors explaining the technical efficiency of these maize farmers in the area of study. Consequently, any policy aiming to improve the technical efficiency of maize farmers in Burkina should be based on these variables. Keywords: technical efficiency, stochastic frontier function, translog function, maize, Burkina Faso DOI : 10.7176/JESD/10-14-05 Publication date :July 31 st 2019
Determinants of actual and potential adoption of improved indigenous chicken under asymmetrical exposure conditions in rural Kenya

We employ the average treatment effects approach to account for asymmetrical information exposure on a sample of 744 farmers in Kisii and Nyamira counties, Kenya, to estimate the actual and potential adoption of a new chicken cross breed. The actual adoption rate of the Kuroiler chicken was 10 percent while the potential adoption rate was 13 percent, dependent on the entire population being aware of and knowledgeable about the new breed. We also observed an adoption gap of 3 and 1 percent due to lack of awareness and attribute knowledge respectively. The factors that influence awareness and attribute knowledge of the new breed were different. Besides, ownership of land title deeds increased adoption while age, distance to tarmac and off-farm income had a negative effect on adoption. The new chicken breed needs to be promoted as a niche enterprise given its low adoption potential even when all farmers are aware of it and have knowledge of its attributes. There is also need for the inclusion of awareness and attribute knowledge messages in the promotion initiatives of the chicken in order to boost its adoption. Moreover, government policy needs to support issuance of title deeds to enhance adoption as well as tarmacking of roads to ease market access.
The Climate Change Impacts on Water Resources and Crop Yield

This research evaluated climate change impacts on temperature, precipitation, and runoff using LARS-WG and SWAT models under climate scenarios. First, drought intensity was calculated for the period 1987-2016. Then, the LARS-WG model was calibrated to generate climatological data for future periods. The coefficients of precipitation as well as minimum and maximum temperature changes were simulated as SWAT model inputs. The results of LARS-WG model indicated that temperature will increase in future periods and that changes will occur not only in precipitation rate but also in its pattern. Then, changes in runoff were simulated by introducing downscaled results to SWAT model. The model was calibrated and validated by SWAT-CUP software. Nash-Sutcliffe (NS) coefficients (0.58 and 0.49) and R2 determination coefficients (0.65 and 0.50) were obtained for calibration and validation periods, respectively. The results showed that runoff will increase in spring and summer during 2011-2030 period, but it will decrease in fall and winter. Further, runoff will rise in fall and winter while it will drop in spring and summer throughout 2046-2065 and 2080-2099 periods under all three scenarios. Such seasonal shifts in runoff levels result from climate change consequences in the forms of temperature rise, snowmelt, altered precipitation pattern, etc. Future-period evapotranspiration will rise under all three scenarios with a maximum increase in 2080-2099 period under A2 scenario. Additionally, rainfed crop yields will decline without considerable changes in irrigated and horticultural crop yields.
Coaches’ dispositions and non-formal learning situations: an analysis of the ‘coach talent programme’

ABSTRACT Research which identifies and describes the learning situations coaches engage with often overlooks how coaches’ dispositions and the ‘learning cultures’ they occupy influences their opportunities for learning, limiting our understanding of what ‘works’ and for ‘whom’. Seven coaches from five sports were interviewed regarding their experiences of ‘The Coach Talent Programme’ (CTP); a non-formal learning situation consisting of cross-sport CPD workshops delivered by a UK County Sports Partnership. Data were analysed thematically, integrating Pierre Bourdieu’s sociology alongside Phil Hodkinson’s theory of ‘learning cultures’. Three themes were developed: (1) social interaction and cross-sport learning; (2) workshop content and online learning; and (3) tutor capital and the coaching field. The findings demonstrate how coaches’ ‘learning’ within non-formal situations varies significantly due to embodied dispositions, capital, and the social fields coaches are positioned within. Sports organisations would benefit from recognising the influence of these factors to develop transformative non-formal environments for coach learning.