Miracle-dz/UniFAR-FTUs huggingface dataset:
Bigger... But Stronger? The Middle Class in Chile and Mexico in the Last Decade

The analysis of the middle class emerges as a relevant issue given the strong influence that this social group has on societies and also on the economic performance. The aim of this document is to empirically contrast different ways of measuring the middle class, from purely statistical approaches to context-relative and absolute-standard measures, and to vulnerability analysis. The evidence for Chile and Mexico suggests that, based on most measures, the middle class has increased over last decade. Additionally, this document proposes to analyze middle class as those households facing a lower probability of falling into poverty based on several indicators. Despite the inherent increase of middle class by this approach, the analysis shows that the income gap between the middle class and lower class has expanded over 1992-2006 which suggest that the middle class has moved away from the households in the bottom of the income distribution. Furthermore, at least in the case of Chile, it seems that there has been a strengthening of the income of the middle class.
The Effect of Firm Cash Flow on Investment Decision Moderated by Financial Constraint and Mispricing

This study aims to examine the effect of cash flows on investment decision that is moderated by financial constraint and mispricing. The population of the study was all listed-manufacturing firms in Indonesia from 2014 to 2016. Samples were chosen based on the availability of firms’ financial report covering the period of the study. By using moderated regression analysis where financial constraint and mispricing as moderating variables, the study concluded that financial constraint weakens the effect of cash flow on investment. Although lower financially constrained-firms have an opportunity to choose their source of funding, they prefer to finance their investment from an internal source of funding (from cash flows) due to lower risk. Furthermore, mispricing does not have a role as a moderating variable. In this condition, overvalued firms are indifferent from choosing the source of funding. Finally, when financial constraint and mispricing are signed as a moderating variable, they weaken the effect of cash flow on investment. It means that firms with lower financial constraint and overvaluation prefer to use external funding by issuing new common stocks because it provides a lower cost of capital.
Comparative analysis of alternative and standardized microbiological diagnostic methods used in food expertise

For the comparative analysis of the results of the alternative and the standardized reference methods used in microbiological food testing, we tested 7761 samples for the detection of foodborne pathogens (Salmonella spp., Listeria spp., Campylobacter spp) and 5123 samples for the detection of quality indicators (Coagulase Positive Staphylococcus, Escherichia coli, Enterobacteriaceae, Total Aerobic Germs, Yeasts and Molds), using Mini Vidas equipment and TEMPO, respectively. Noncompliant samples resulting from food screening by alternative methods were subsequently tested by standardized reference methods to establish the correlation of the results. It has been found that fast alternative diagnostic methods used to detect food pathogens generate results equivalent to those of standardized reference methods, and rapid diagnostic alternative methods for detecting quality indicators generate results with a correlation of 98.38%. The bacterial identification achieved by comparative use of the alternative and the reference methods, namely Vitek 2 Compact and Kaufmann White, may show differences in the obtained results, the correlation being for the Salmonella genus of 77.8%, and, in the case of Listeria genus, 100%.
Exploring Children’s Experiences in a Targeted Compassion-Based Intervention

Author(s): Karr, Jordan | Advisor(s): Worrell, Frank C | Abstract: Psychologists have become increasingly interested in the concept of compassion and its role in promoting psychosocial wellbeing. As individuals experience compassion for others, compassion from others, and self-compassion, they set in motion a series of physiological processes that support emotion-regulation and prosocial interactions. There has also been a rise in the development of individual and group interventions that guide participants to develop greater compassion for the purposes of improving their mental health, prosocial behaviors, and physiological responses to stress. Meta-analytic findings of compassion-based interventions with adults show significant, moderate effects on compassion, self-compassion, mindfulness, depression, anxiety, psychological distress, and wellbeing. Preliminary evidence suggests compassion-based, group interventions may be effective targeted strategies for supporting youth who are at-risk for developing internalizing disorders. In this dissertation, I present a study examining the experiences of five fourth-grade students in a compassion-based, group intervention targeting internalizing symptoms. Guided by interpretive phenomenological analysis, semi- structured interviews were used to examine participants’ emotional experiences of the intervention and to elicit participant feedback on the helpfulness and usefulness of the intervention. Children’s artwork from the intervention was analyzed collaboratively to gather detailed descriptions of participants’ thoughts and emotional states during the creation and presentation of their art projects. Finally, audio recordings of group sessions were used to gather information on children’s interactions and field notes were analyzed to examine my own experience of facilitating the intervention.
AWARD NUMBER: W81XWH-13-1-0288 TITLE: Microenvironment-Sensitive Multimodal Contrast Agent for Prostate Cancer Diagnosis

The use of magnetophoretic mobility as a surrogate for fluorescence intensity in quantitative cell analysis was investigated. The objectives of quantitative fluorescence flow cytometry include establishing a level of labeling for the setting of parameters in fluorescence activated cell sorters (FACS) and the determination of levels of uptake of fluorescently labeled substrates by living cells. Likewise, the objectives of quantitative magnetic cytometry include establishing a level of labeling for the setting of parameters in flowing magnetic cell sorters and the determination of levels of uptake of magnetically labeled substrates by living cells. The magnetic counterpart to fluorescence intensity is magnetophoretic mobility, defined as the velocity imparted to a suspended cell per unit of magnetic ponderomotive force. A commercial velocimeter available for making this measurement was used to demonstrate both applications. Cultured Gallus lymphoma cells were immunolabeled with commercial magnetic beads and shown to have adequate magnetophoretic mobility to be separated by a novel flowing magnetic separator. Phagocytosis of starch nanoparticles having magnetic cores by cultured Chinese hamster ovary cells, a CHO line, was quantified on the basis of magnetophoretic mobility.
First Forbidden β-Decay Logft Values of Neutron Rich Te Isotopes

Neutral tellurium detected in three metal-poor stars enriched by products of r-process nucleosynthesis by using near-ultraviolet spectra obtained with the Space Telescope Imaging Spectrograph on board the Hubble Space Telescope. Tellurium (Te, Z=52) was found at the second r-process peak (A≈130) associated with N=82 neutron shell closure. The beta decay rates of unstable isotopes may be drastically changed under stellar conditions. In this work, we have been investigated the first forbidden (|∆J|=0, 1 and 2) transitions strength of some neutron rich Tellurium isotopes. The theoretical framework is based on a proton neutron quasiparticle random phase approximation (pn-QRPA) in the particle-hole (ph) channel. The transition probabilities in the Woods-Saxon potential basis have been calculated within the x -approximation. The calculated first forbidden b -decay logft values are in better agreement with experimental data.
Analysis and Prediction of Crash Fatalities in Australia

As fatalities, injuries, and economic losses from road accidents are a major concern for governments and their citizens, Australia, like other countries, has designed and implemented a wide range of strategies to reduce the rate of road accidents. As part of the strategy design process, data on crash deaths were collected and then analyzed to develop more effective strategies. The data of crash deaths in Australia during the years 1965 to 2018 were analyzed based on gender, causes of crash deaths, and type of road users, and then the results were compared with global averages, then a prediction model was developed to forecast the future annual crash fatalities. The results indicate that, based on gender, the rate of male road fatalities in Australia was significantly higher than that of female road fatalities. Whereas based on the cause of death, the first cause of death was over speeding. Based on the type of road users, the drivers and passengers of 4-wheel vehicles had the highest rate of fatalities. The prediction model was developed based on Autoregressive Integrated Moving Average (ARIMA) methodology, and annual road fatalities in Australia for the next five years 2019-2022 have been forecast using this model.
Contrasting Patterns of Pomacea maculata Establishment and Dispersal in an Everglades Wetland Unit and a Central Florida Lake

The spread of non-native species raises concerns about native species displacement, while other negative effects on native species (e.g., habitat degradation) should also be considered. The highly invasive non-native apple snail Pomacea maculata has raised such concerns as it has become established in a wide range of aquatic systems worldwide. While monitoring native Florida P. paludosa populations in Lake Tohopekaliga (LTOHO) from 2001 to 2009 and in Water Conservation Area 3A (WCA3A, Everglades) from 2006 to 2015, we opportunistically documented the establishment and distribution of P. maculata. We estimated snail densities and recorded egg cluster presence in three study sites (12 total plots, LTOHO) and 137 sites (WCA3). On LTOHO, native snails were absent or at very low densities prior to finding P. maculata. Few snails of either species were found in high-stem-density vegetation of the littoral zone. Pomacea maculata immigration into the littoral zone occurred following managed vegetation removal, and Hydrilla verticillata proliferation in LTOHO likely contributed to the spread of P. maculata. We found both native and non-native apple snail species in many WCA3A sites following P. maculata invasion. We initially found the non-native snail in two sites in southern WCA3A; they were mostly restricted to within three kilometers of initial sites over the next four years. Overall plant community compositions in LTOHO and WCA3A appeared less impacted than expected based on previous reports of P. maculata invasions.
Tank mixtur e of pesticides and foliar fertilizes for Triozoida limbata control in guava trees ( Psidium guajava L

Submitted on August 29 , 2018 and accepted on May 15 , 2019. 1 This work is part of the thesis of the first author. 2 Universidade Federal de Uberlândia, ICIAG , Uberlândia, Minas Gerais, Brazil. cesarzandonadi@ufu.br; thalescalves@hotmail.com; heli_heros@hotmail.com; guilhermeagro43@yahoo.com. br; jpcunha@ufu.br Universidade Federal do “V ale do Jequitinhonha e Mucuri”; Campus Unaí, MG , Brazil. ser giomacedosilva@yahoo.com. br *corresponding author: cesarzandonadi@yahoo.com. br Tank mixtur e of pesticides and foliar fertilizes for Triozoida limbata control in guava trees (Psidium guajava L.)
Duality 1 Motivation 1 . 1 Compressed sensing

where ~y ∈ R, A ∈ Rm×d, and m < d. In the notes on randomization we established that if A is randomized, then the sparse-recovery problem is often well posed, in the sense that there is a single sparse vector consistent with the data. However, we did not discuss any algorithms to perform recovery. As discussed in the notes on convex optimization, minimizing the number of nonzero entries subject to equality constraints is not computationally tractable, but minimizing the `1 norm is often an effective surrogate. Figure 1 shows the result of solving
Reporting Transparency and the Sensitivity of Investment to Market Value

Is financial reporting transparency associated with managerial incentives to follow the market? Across three unique measures of transparency we find consistent evidence that the investment of less transparent firms is more responsive to the market’s valuation of their investment opportunities. We rule out the impact of price inefficiencies that systematically bias the coefficient estimates by correcting for the measurement error in market-to-book. Our results are not driven by strategic disclosure, mispricing-driven investment or differences in private information production. We conclude that reporting transparency reflects attributes of the manager’s information set that proxy for their incentive to learn from market prices. Since the optimal information system is one that maximizes firm value, our results imply that managers are more likely to rely on price signals when internal information is more costly. We appreciate comments from Nemit Shroff and Jerry Zimmerman. 1 Reporting Transparency and the Sensitivity of Investment to Market Value
ART patients' satisfaction level regarding comprehensive HIV and AIDS care management and antiretroviral treatment programme in Pretoria

The purpose of this cross- sectional study was to investigate patients’ satisfaction levels regarding access to, and quality of, comprehensive human immunodefciency virus (HIV) and acquired immune defciency syndrome (AIDS) care management and antiretroviral treatment programme (CCMT). A total of 402 patients were selected from three hospitals by stratifed random sampling techniques. A self-administered questionnaire was used to assess patients’ satisfaction levels. Almost all the patients (> 93%) gave positive response towards access to CCMT services, and mentioned that the doctor was kind, polite, and showed them respect; the nurse was kind, polite, and showed them respect; doctors provided full attention during consultations; and they felt comfortable talking to the healthcare provider about their problems. More than a tenth (12%) of the patients were dissatisfed with regard to privacy during consultation, and another 13% regarded the receptionist or booking clerk as unkind, impolite, disrespectful and .
Job Searchers, Job Matches and the Elasticity of Matching

This paper stresses the importance of a specification of the matching function in which the measure of job matches corresponds to the measure of job searchers. In many empirical studies on the matching function this requirement has not been fulfilled because it is difficult to find information about employed job searchers and job searchers from outside the labour market. In this paper, we specify and estimate matching functions where the flow corresponds to the correct stock. We use several approximations for the stock of non-unemployed job searchers. We find that the estimation results are sensitive to the approximation we use. Our main conclusion is that it is important to account for the behaviour of non-unemployed job searchers since otherwise the estimated parameters of the matching function may be seriously biased.
Private Preschool Teachers’ Competencies in Early Identification of Children at Risk of Learning Disabilities

Not only education is important in developing one’s intellectual and personal quality, but also an influential factor in seeking employment. Therefore, education is even more important for disabled individuals, as it enables them to read and write, communicate, make decisions and most importantly be employed. However, Dr. Mullai Ramaiah stated that the current Malaysian education system does not only lack in early screening, but also teachers who are equipped to teach and handle children with special needs (Arukesamy, 2017). Therefore, this current study intends to investigate the competency of preschool teachers in identifying children who are at risk of any learning disabilities (LD). This was done by administering a questionnaire survey to examine teachers’ knowledge of some common learning disabilities that usually affects preschool children. In this research, the relationship between teachers’ competency and teacher’s education level has been investigated. Findings from the data analysis indicated that the level of teacher’s competency in identifying children at risk is relatively low. It was revealed, a majority of general preschool teachers do not have any knowledge or acquired minimal knowledge in identifying children who are at risk of an LD. Findings also show that there was a significant difference in competencies between teachers of different levels of education. Finally, it was found teachers’ experience does not contribute to their knowledge in identifying children at risk of LD.
Quantifying Degrees of Information in Remote Sensing Imagery

Abstract. So far there’s been no metrology on the measurement of information of remote sensing imagery. We introduce the conception “Information quantity” from information theory to solve this problem. In this paper, the method and formulation for calculating information content of remote sensing imagery are discussed. Furthermore, we calculate the information quantity of some imagery and analyze the factors that affect the calculation on information quantity.
Adoption and impact of dry-season dual-purpose cowpea in the Nigerian semiarid region

In the semiarid zones of sub-Saharan Africa, crop and livestock farming forms the source of sustenance for resource-poor farmers. But the dry season is usually marked with food scarcity, reduced food availability, and lower village-level economic activities. These are some of the reasons for the emergence of the collaboration between the International Institute of Tropical Agriculture (IITA) and the International Livestock Research Institute (ILRI). They initiated a breeding program to develop dual purpose cowpea varieties: varieties that produce both grain and fodder to suit diverse needs of farmers in the drylands.
Livelihood Analysis of the Char Dwellers Using Capital Asset Framework

The study has been carried out in a Riverine Island of the Ganges River in Chapai Nawabganj District of Bangladesh to evaluate the livelihood status and the association between different livelihood capitals and well-being status. Both qualitative and quantitative data are collected through household questionnaire survey and field observation. Most of the surveyed households are found either poor or hard core poor. This study identified five capitals of livelihood i.e. human, social, natural, financial and physical capitals with specific indicators. Family size and education indicators of human capital, organizational attachment of social capital, total and operational land of natural capital, value of livestock, size of savings and loan of financial capital and mobile phone of physical capital are statistically significant with the well-being status. This means higher value of indicators indicate higher the well-being status. Hence, this study assumes that most of the char dwellers are poor or hard core poor because their livelihood capitals and assets are not in satisfactory level. This study suggests providing necessary institutional and organizational supports for strengthening the livelihood of char dwellers. J. Environ. Sci. & Natural Resources, 11(1-2): 27-36 2018
Partial Oxidation of Ethane to Acetic Acid using a Metallic Pd Promoted MoVNb Catalyst Supported on Titania

Sulaiman I. Al-Mayman*, Abdulrahman S. Al-Awadi, Yousef S. Al-Zeghayer and Moustafa A. Soliman King Abdul Aziz City for Science and Technology, Riyadh, P.O. Box 6086, Riyadh 11442, Saudi Arabia. Department of Chemical Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia. Director of Industrial Catalysts Chair, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia. Chemical Engineering Department, Faculty of Engineering, The British University in Egypt, El-Sherouk City, Cairo, 11837, Egypt. smayman@kacst.edu. sa*
Striving for excellence in AI implementation: AI Maturity Model framework and preliminary research results

Background: In hereby article authors try to summarize how AI can be use by companies within production and warehousing. On the basis of previously developed Logistics 4.0 maturity model authors also propose Artificial intelligence maturity levels and on its basis a survey has been conducted in selected Polish and Norwegian companies and actual AI state of development and maturity levels has been recognized. However authors present preliminary stage of research as a multi case study which will be further developed and extended in order to identify branches and areas with a hugest potential to enhance AI utilization. Furthermore paper presents potential directions of Artificial intelligence implementation as well as tools that can be useful to deal with big data and optimization problems predicted not only for big companies but also SMEs. Authors propose term Artificial Intelligence 4.0 to point out the actual trends in the scope of Industry 4.0 and Logistics 4.0 and revolution with respect to AI. Without doubt AI is a big challenge for manufacturing companies as well as Transport and Logistics Industry and its application should be increased and extended in solving practical problems. Methods: Methodology applied by authors of hereby paper can be divided on following stages: literature analysis, enlargement of AI maturity model, development of a questionnaire, multi-case studies in Norway and Poland. Results: The literature search showed a cognitive gap due to fact there is a little of literature dealing with problem of Artificial intelligence maturity models as well as Logistics 4.0 and Artificial Intelligence. Artificial intelligence maturity levels can be combined with Logistics 4.0 maturity models thus relations between actual level of logistics maturity and AI readiness in companies will be recognized. Due to such analysis it will be possible to develop complex roadmap with the organization’s strategic guidelines how to deal with Logistics 4.0 and AI. All the companies investigated in this preliminary study could be classified as AI Novices: Companies that have not taken proactive steps on the AI journey and are at best in assessment mode. Even the bigger companies with more automated solutions cannot visualize the benefits AI can bring. Conclusions: Authors see potential to apply aforementioned model to investigate AI maturity levels in logistics companies and combine obtained results with previously developed Logistics 4.0 maturity model. Authors propose to introduce term Artificial Intelligence 4.0 to emphasize the importance of artificial intelligence with respect to Logistics 4.0 and Industry 4.0.