Miracle-dz/UniFAR-FTUs huggingface dataset:
Mothers' Knowledge Levels Related to Poisoning

SUMMARY Objectives This study was done to evaluate mothers’ level of knowledge regarding poisoning, to plan training for issues with an identified lack of knowledge, to collect required data regarding protection and approach issues on poisoning cases which may occur in children for various reasons. Methods This descriptive study was performed after obtaining permission from the County Health Department and involved mothers who applied to Family Health Centers No. 1-7 between April 1st and May 31st 2012, and who agreed to participate in the study (n=290). The questionnaire was composed of three parts: “Personal Information Form,” “House Poisoning Evaluation Form” and “Home Poisoning Prevention Knowledge Level Form. ” Results Participant ages were between 16 and 50 years and the mean age was 33.09±7.10 years. The number of children ranged from 1 to 6, and 203 people had seven children under the age of six. 37.6% of the mothers were primary school graduates, while 74.5% were housewives. There was a significant relationship between the knowledge score of the mothers on poisoning and education, career, neighborhood, and social security (p<0.05). Conclusions Childhood poisoning is the most common cause of admission to the hospital. Protective precautions such as family education, storage of medication out of reach of children and use of secure lids are thought to be important.
A Pragmatics study on deixis analysis in the song lyrics of Harris J’s Salam album song

The aim of the research is to analyze the three types of deixis analysis using George Yule (1996) theory and interpret the reference meaning of deixis that are found in the Harris J’s Salam Album song lyrics. The researcher selected this song as subject of analysis because the popularity of the song and also it consisted of such as deictic words and reference meaning. Therefore, the Salam Album song lyrics can be analyzed using pragmatics approach, especially using the theory from George Yule (1996) about deixis analysis. This study was conducted by using descriptive qualitative method. The data which used song lyrics of Harris J’s Salam Album (2015). In addition, this song was classified into three types of deixis analysis based on their own criteria. The result of this research showed that the three types of deixis using George Yule (1996) theory such as person deixis, spatial deixis and temporal deixis are used in the Salam Album song lyrics of Harris J. The use of personal deixis indicated the participant in this song. While, the spatial deixis indicated location and place of event from the participant. Moreover, the temporal deixis indicated the timing of speech event which is used in this song.In addition, the most dominant deixis is person deixis. Because, it tells about the moral value, speakers’ experiences and feelings in his religious life
The leading-edge vortex and quasisteady vortex shedding on an accelerating plate

A computational inquiry focuses on leading-edge vortex (LEV) growth and shedding during acceleration of a two-dimensional flat plate at a fixed 10°–60° angle of attack and low Reynolds number. The plate accelerates from rest with a velocity given by a power of time ranging from 0 to 5. During the initial LEV growth, subtraction of the added mass lift from the computed lift reveals an LEV-induced lift augmentation evident across all powers and angles of attack. For the range of Reynolds numbers considered, a universal time scale exists for the peak when α≥30°, with augmentation lasting about four to five chord lengths of translation. This time scale matches well with the half-stroke of a flying insect. An oscillating pattern of leading- and trailing-edge vortex shedding follows the shedding of the initial LEV. The nondimensional frequency of shedding and lift coefficient minima and maxima closely match their values in the absence of acceleration. These observations support a quasisteady theory of vortex sh.
Quantitative magnetic resonance assessment of brain atrophy related to selected aspects of disability in patients with multiple sclerosis: preliminary results

Purpose The aim of this volumetric study was to evaluate the relationship between brain atrophy quantification in multiple sclerosis (MS) patients and the progression of disability measured by neurological standardised tests. Material and methods Seventeen patients (mean age 40.89 years) with clinically definite MS and 24 control subjects (mean age 38.45 years) were enrolled in the study. Brain examinations were performed on a 1.5T MR scanner. Automatic brain segmentation was done using FreeSurfer. Neurological disability was assessed in all patients in baseline and after a median follow-up of two years, using EDSS score evaluation. Results In MS patients we found significantly (p < 0.05) higher atrophy rates in many brain areas compared with the control group. The white matter did not show any significant rate of volume loss in MS patients compared to healthy controls. Significant changes were found only in grey matter volume in MS subjects. At the follow-up evaluation after two years MS patients with deterioration in disability revealed significantly decreased cerebral volume in 14 grey matter areas at baseline magnetic resonance imaging (MRI) compared to MS subjects without disability progression. Conclusions Grey matter atrophy is associated with the degree of disability in MS patients. Our results suggest that morphometric measurements of brain volume could be a promising non-invasive biomarker in assessing the volumetric changes in MS patients as related to disability progression in the course of the disease.
Research Fund for the Control of Infectious Diseases Mechanisms of Lymphocyte Loss in Sars Coronavirus Infection

Key Messages 1. Human lymphocytes and monocytes are not permissive to productive SARS coronavirus (SARS-CoV) infection in vitro. 2. Challenge of lymphocytes and monocytes with infectious SARS-CoV, inactivated virions, and receptor-binding fragment of spike protein does not trigger apoptosis. 3. Direct infection/interaction between viruses and lymphocytes/ monocytes is unlikely to be the cause of lymphopaenia in SARS patients. 4. Lymphopaenia in SARS patients is likely to result from indirect mechanisms secondary to the viral infection.
Confirming the structure of the dual process model of diversity amongst public sector South African employees

We set out to validate the structure of the Dual Process Model of Workplace Diversity in a South African work setting contrasting black and white African employees. The study participants were a convenience sample of 296 public service employees (black = 73.3%, female = 59%, 90.7% between the age 18 and 40 years; white = 25.7%, female = 58%, 67.1% between the age of 18 and 40 years). They completed measures of acculturation antecedents (positive and negative conditions), mediators (integration as positive strategy to deal with diversity and separation as negative strategy), and outcomes (work success and ill-health). Using multi-group path analysis, we found race-based invariance of the Dual Process Model, with black employees self-reporting diversity relations in a more favourable way compared to white employees. We conclude that the Dual Process Model is supported for research use in the South African workplaces.
High Throughput Data Center Topology Design

With high throughput networks acquiring a crucial role in supporting data-intensive applications, a variety of data center network topologies have been proposed to achieve high capacity at low cost. While this work explores a large number of design points, even in the limited case of a network of identical switches, no proposal has been able to claim any notion of optimality. The case of heterogeneous networks, incorporating multiple line-speeds and port-counts as data centers grow over time, introduces even greater complexity.In this paper, we present the first non-trivial upper-bound on network throughput under uniform traffic patterns for any topology with identical switches. We then show that random graphs achieve throughput surprisingly close to this bound, within a few percent at the scale of a few thousand servers. Apart from demonstrating that homogeneous topology design may be reaching its limits, this result also motivates our use of random graphs as building blocks for design of heterogeneous networks. Given a heterogeneous pool of network switches, we explore through experiments and analysis, how the distribution of servers across switches and the interconnection of switches affect network throughput. We apply these insights to a real-world heterogeneous data center topology, VL2, demonstrating as much as 43% higher throughput with the same equipment.
An Exploratory Analysis of the Strategies Women Employ to Cope with the Challenges They Face in Federal Law Enforcement

For a study of women’s occupational persistence in federal law enforcement, qualitative data are generated from semi-structured interviews with 20 sworn female federal officers working in 10 federal law enforcement agencies. Interviews provide descriptions of the strategies women employ to cope with the negative attributes and challenges in federal law enforcement and the factors that influence women’s persistence to remain in federal law enforcement. Despite the obstacles, women not only persist against the challenges, they highlight the unique attributes of federal law enforcement to the policing research community.
Decisions and mechanisms in exemplar-based phonology

UC Berkeley Phonology Lab Annual Report (2005) Decisions and mechanisms in exemplar-based phonology Keith Johnson Department of Linguistics, UC Berkeley 1. Introduction. Look at the leaf in figure 1. You can see a branching structure, an almost crystalline organization that could be described with a clean mathematical generative formalism. Now, raise your gaze only a little and you see a forest - diversity formed from interlaced systems of water and light, plant and insect. Figure 1. A leaf. We can approach language from these two perspectives also. Looking at the geometric regularities in the structure of the leaf is analogous to taking a structuralist linguistic framework inspired by mathematical/physical theories. Generative phonology (Chomsky & Halle, 1968) is the most prominent exemplar of this approach to language in the domain of phonology; adopting such familiar research strategies as the idealized speaker/hearer (analogous to the frictionless plane in elementary physics) and a variant of the formal language of symbolic logic to express generalizations observed in linguistic data.
Comparison of conventional and semilunar coronally positioned flap techniques for root coverage in teeth with cervical abrasion restored with pink resin

Gingival recession is the most common mucogingival defect, characterized by apical migration of the gingival margin from the cementoenamel junction and root exposure. Several surgical techniques are reported for the treatment of gingival recession. Here we present a comparison of the conventional (coronally advanced flap) and semilunar coronally positioned flap techniques for root coverage in teeth with cervical abrasion restored with pink resin that mimics the color of the gingiva. Although the conventional technique is more predictable, we found that both techniques were effective in achieving satisfactory and esthetic root coverage.
Optimal Sizing of a Stand-Alone Hybrid Power System Based on Battery/Hydrogen with an Improved Ant Colony Optimization

A distributed power system with renewable energy sources is very popular in recent years due to the rapid depletion of conventional sources of energy. Reasonable sizing for such power systems could improve the power supply reliability and reduce the annual system cost. The goal of this work is to optimize the size of a stand-alone hybrid photovoltaic (PV)/wind turbine (WT)/battery (B)/hydrogen system (a hybrid system based on battery and hydrogen (HS-BH)) for reliable and economic supply. Two objectives that take the minimum annual system cost and maximum system reliability described as the loss of power supply probability (LPSP) have been addressed for sizing HS-BH from a more comprehensive perspective, considering the basic demand of load, the profit from hydrogen, which is produced by HS-BH, and an effective energy storage strategy. An improved ant colony optimization (ACO) algorithm has been presented to solve the sizing problem of HS-BH. Finally, a simulation experiment has been done to demonstrate the developed results, in which some comparisons have been done to emphasize the advantage of HS-BH with the aid of data from an island of Zhejiang, China.
The Malleability of Bias: Finding, Measuring, and Connecting Plural Rationalities

Preferences and ways of life have in the literature been described as both stable and forever malleable. The Theory of Socio-Cultural Viability, of cultural theory for short, is approaching the puzzle from the angle of Anthropology and is commonly used in Political Science. In order to not only test the theory’s value and reliability, but also to develop new ways of employing it in assessing individuals’ and groups’ biases, the present dissertation is structured into three co-dependent papers. The first study, Four Angles to Every Issue, investigates in how far an open-ended discussion of wicked problems leads to an emergence of all four cultures, as predicted by the theory, and supports the assumption of clustering and polarization of preferences in open debates. The second paper, Measuring the Malleable, then takes the analysis to the individual level. The results show that they do in fact remain the same within one context, but do not across life domains. This supports the assumption of multiple selves in the theory and is in line with much of psychological research. The third article then builds on this idea by illuminating cultural theory’s overlap with multiple theories from the field of Psychology. By identifying overlaps and potential links, the paper is able to explain the underlying processes and mechanisms of cultural theory with psychological findings. The last chapter is the general discussion, which offers a synthesis of the presented findings, as well as options for further research. Continuing in the direction that this thesis has shown would allow a better understanding of human interaction and bias formation, as well as transmissions. The focus should from here on out lie on the mechanisms that enable the identified processes and thereby allow a better and more holistic understanding of how biases come about and change malleably.
Entrepreneurship education and its impact on self-employment intention and entrepreneurial self-efficacy

Government seeking economic growth, and realising the threats as well as the immerse benefits of globalisation are putting premium on entrepreneurship education. This study investigates the influence of entrepreneurship education as an exogenous factor that may shape an individual's cognitive process of self-employment intention. The results should help ascertain whether participation in entrepreneurship education positively influences students' perceptions of self-employment and hence self-employment intentions. A quasi experimental study was conducted among students of Cape Coast Polytechnic. The survey questionnaire developed for this study utilised validated scales and the hypotheses were tested using a pretest- posttest non equivalent control group design. The results suggest that participation in entrepreneurship education positively influences students' perception of self-employment and hence self-employment intentions. However, additional research is required to determine if participation in entrepreneurship education results in long term changes in self-employment intentions.
Noisy addicts? Estimation of optimal consumption choice with habit formation and measurement error ⁄

In this paper we investigate empirically the presence of internal habit formation in household food consumption using data from the Panel Study of Income Dynamics (PSID). Habit formation in preferences is specified in the multiplicative form. We assume classical measurement error in observed food consumption. We exploit the resulting structure of the Euler equation to develop a nonlinear generalized method of moments (GMM) estimator of all structural parameters of interest: time-discount factor, utility curvature parameter, habit formation parameter, and the variance of measurement error in consumption. The results support the existence of a habit in food consumption. The variance of measurement error is estimated to be about 25%. Not accounting for measurement error results in underestimation of the utility curvature parameter. JEL C13, C33, D12, D91, E21
One Third of the World's Growth and Inequality

This paper studies growth and inequality in China and India – two economies that account for a third of the world’s population. By modelling growth and inequality as components in a joint stochastic process, the paper calibrates the impact each has on different welfare indicators and on the personal income distribution across the joint population of the two countries. For personal income inequalities in a China-India universe, the forces assuming first-order importance are macroeconomic: growing average incomes dominate all else. The relation between aggregate economic growth and within-country inequality is insignificant for inequality dynamics.
Very Short-Term Load Forecasting Based on Neural Network and Rough Set

The short-term load forecasting model based on neural network has been applied widely in energy management systems (EMS) because of its high forecasting accuracy and self-learning ability. But the forecasting errors of the load curve near peaks are large, especially at the large slope difference on both side of a peak. So the load forecasting based on rough set and neural network is proposed. The load in the current time interval, load in the previous time interval, load deviation between the current time interval and the previous time interval and current time is regarded as an input of a neural network respectively. The forecasting load at following time interval is the output of the neural network. The trained neural network is the load forecasting model based on neural network. Then, the forecasting load at following time interval obtained by the neural network based load forecasting model is compensated by rough set to increase the forecasting accuracy. The simulation experiments show that the presented load forecasting based on rough set and neural network can improve the forecasting accuracy significantly.
Theory of Mind and Its Neuropsychological and Quality of Life Correlates in the Early Stages of Amyotrophic Lateral Sclerosis

This study aims to explore the potential impairment of Theory of Mind (ToM; i.e., the ability to represent cognitive and affective mental states to both self and others) and the clinical, neuropsychological and Quality of Life (QoL) correlates of these cognitive abnormalities in the early stages of amyotrophic lateral sclerosis (ALS), a multisystem neurodegenerative disease recently recognized as a part of the same clinical and pathological spectrum of frontotemporal lobar degeneration. Twenty-two consecutive, cognitively intact ALS patients, and 15 healthy controls, underwent assessment of executive, verbal comprehension, visuospatial, behavioral, and QoL measures, as well as of the ToM abilities by Emotion Attribution Task (EAT), Advanced Test of ToM (ATT), and Eyes Task (ET). ALS patients obtained significantly lower scores than controls on EAT and ET. No significant difference was found between the two groups on ATT. As regard to type of ALS onset, patients with bulbar onset performed worse than those with spinal onset on ET. Correlation analysis revealed that EAT and ET were positively correlated with education, memory prose, visuo-spatial performances, and “Mental Health” scores among QoL items. Our results suggest that not only “cognitive” but also “affective” subcomponents of ToM may be impaired in the early stages of ALS, with significant linkage to disease onset and dysfunctions of less executively demanding conditions, causing potential impact on patients’ “Mental Health. ”
Discussion: An estimate of the science-wise false discovery rate and application to the top medical literature.

It is a pleasure to have the opportunity to comment on this contribution by Jager and Leek (2013), perhaps the first broad-based empirical attempt to examine the now 8-year-old claim that most conclusions in the medical literature are false (Ioannidis, 2005). The latter paper has had considerable traction, reportedly being the most downloaded article in the history of PLoS Medicine. Its potential positive impact was more wariness about blithely accepting the results of published studies, better understanding of the factors that lead to misleading research, and more awareness of the domain of meta-research. The potential negative impact of the claim was an unwarranted degree of skepticism, hopefully not cynicism, about truth claims in medical science. So, exploring that hypothesis further using empirical data was much needed. But before commenting on Jager and Leek’s contribution, it is useful to understand the assumptions and methodology that supported the original claim, outlined in detail in 2007 (Goodman and Greenland, 2007). Ioannidis’s argument was based on simple Bayesian mathematics, the same kind used in diagnostic studies. However, two elements were incorporated that had the mathematical effect of nullifying research evidence. First, the information from an experiment used in his model was simply P <0.05, not the exact P-value. Thus, an epidemiologic study generating a main finding with a P <0.0001 was treated in that model identically to one with P =0.04. Quantitatively, for a study with 80% power, this reduced the maximum Bayes factor—the degree to which an experiment raises the prior odds of the alternative hypothesis— from infinity to 16.
Education and Pro-Family Altruistic Discrimination Against Foreigners: Five-Country Comparisons

We measure differences between altruism toward a family member and toward an unknown foreigner using hypothetical questions in internet surveys across five countries: Germany, the US, Singapore, South Korea, and Japan. Our analysis shows that people in all five countries exhibit greater altruistic tendencies toward family members compared to their behavior toward foreigners. However, the degree of discrimination differs across countries. It is lowest in Germany and largest in Japan; the remaining three countries fall within this demarcated range. Further analysis shows that correlation structures between education and altruistic discrimination differ widely. In Germany, people who have spent less time in education exhibit lower altruism toward foreigners compared to toward family members. However, in Japan, South Korea, and Singapore, people with higher education levels tend to discriminate against foreigners. The degree of discrimination is insensitive to the educational background in the US sample.
Negotiation of values as driver in community-based PD

Community-based PD projects are often characterized by the meeting of conflicting values among stakeholder groups, but in research there is no uncontested account of the relation between design and conflicting values. Through analysis of three community-based PD cases in Denmark and South Africa, this paper identifies and discusses challenges for community-based PD that exist in these settings based on the emergence of contrasting and often conflicting values among participants and stakeholders. Discussions of participation are shaped through two theoretical perspectives: the notion of thinging and design things; and different accounts of values in design. Inspired by the concept of design things, and as a consequence of the need for continuous negotiation of values observed in all three cases, we suggest the concept of thinging as fruitful for creating productive agonistic spaces with a stronger attention towards the process of negotiating values in community-based PD.