Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Multimedia Self-Care Strategy on Outcomes among Patients with Burn

Burn injuries still negatively affect the varied aspects of life such as physical performance and quality of life. Major burn has long term impact on physical, psychological and social wellbeing. The purpose of the present study is to evaluate the effect of multimedia self-care strategy on functional outcomes among patients with burn. Design: A quasi experimental research design was utilized. Setting: The study was conducted in Burn Unit at Menoufia University Hospital (Emergency Hospital), Menoufia governorate, Egypt. Sample: A purposive sample of 60 adult patients with burn (30 patients in the study group and 30 in the control group). Two instruments were used in data collection Instrument one was a Structured Interviewing Questionnaire Instrument two was World Health Organization of Quality of Life Brief (WHOQOL-Brief). Results: After intervention of multimedia self-care strategy for study group, the mean score of all domains of quality of life improved from 44.67 ± 19.36 to 66.63 ± 11.89 for physical health , 38.47 ± 17.16 to 67.40 ± 15.13 for psychological health , 51.93 ± 21.64 to 64.97 ± 16.81 for social relation and 53.03 ± 18.81 to 68.70 ± 12.50 for environmental aspect with statistically significant (P 0.05). Conclusion: The multimedia self-care strategy for burn patients improved quality of life outcomes among patients with burn. Recommendation: A multimedia self-care strategy should be developed and made available for each patient with burn to increase patient’s knowledge, decrease strain and improve coping skills and quality of life.
Individual and experiential predictors of character development across the deployment cycle

How soldiers adapt to and change in response to the deployment experience has received a great deal of attention. What predicts which soldiers are resilient and which soldiers decline in character strengths across the deployment transition? We examined this question in two analyses drawing from the same data source of soldiers deploying for the first time (Analysis 1: N = 179,026; Analysis 2: N = 85,285; Mage = 24.6–24.7 years old, SD = 4.87; 66.5–66.9% White). Specifically, we examined how individual (e.g. sociodemographic, military) and deployment (e.g. stressful experiences) characteristics predict character development across the deployment cycle. Character strengths were assessed once before and up to three times after soldiers’ return from deployment. Reproducing previous work, we found evidence for two classes of change—a resilient class (“stable high”) and a recovery class (“persistent low”). The strongest predictor of high, resilient character strength levels was better self-rated health at baseline. The findings are discussed in the context of the mechanisms that drive character development, evidence for post-traumatic growth, and practical implications for the U.S. Army.
Performance of cowpea (Vigna unguiculata) and pearl millet (Pennisetum glaucum) intercropped under Parkia biglobosa in an agroforestry system in Burkina Faso.

Department of Agriculture and Ecology, Faculty of Life Sciences, University of Copenhagen. Motalavej 68, 2th, 4220 Korsør, Denmark. Center for Forest, Landscape and Planning, Faculty of Life Sciences, University of Copenhagen. Rolighedsvej 23, 1958 Frederiksberg C, Denmark. Department of Agriculture and Ecology, Faculty of Life Sciences, University of Copenhagen, Højbakkegård Allé 30, 2630 Taastrup, Denmark. Institut de l’Environnement et de Recherches Agricoles (INERA) Burkina Faso, 04 BP 7192 Ouagadougou 04, Burkina Faso.
INDIVIDUAL VACCINATION EQUILIBRIUM FOR IMPERFECT VACCINE EFFICACY AND LIMITED PERSISTENCE

We analyze a model of vaccinal campaign with imperfect vaccine efficacy and limited persistence. We prove the existence of an equilibrium by Kakutani's fixed point theorem in the context of non-persistent immunity. Subsequently, we propose and test a novel numerical method to find the equilibrium. Various issues of the model are then discussed, among which the dependence of the optimal policy with respect to the imperfections of the vaccine.
Verification of a Clear-Sky Mesoscale Simulation Using Satellite-Derived Surface Temperatures

Abstract A mesoscale simulation for Majorca Island is made using the Meso-NH model for a spring night, under a slack synoptic pressure gradient with weak general winds and clear skies. The circulations over and around the island are driven mostly by the locally generated flows, due to the topography and the land–sea thermal contrast. The verification of mesoscale simulations in clear-sky conditions is difficult, especially if the network of stations is not very dense. The main objective of this work is to try to verify the mesoscale simulation using measurements from automatic weather stations and satellite measurements. The model outputs are compared with the available instrumental data and the representativeness of the stations is discussed. Furthermore, complete two-dimensional comparisons are made between the radiative surface temperatures produced by the model and those processed from the National Oceanic and Atmospheric Administration and Meteosat Second Generation (MSG) satellite sensors. The high .
To clickbait or not to clickbait? : an examination of clickbait headline effects on source credibility

One content marketing strategy currently proliferating on Facebook is the use of “clickbait,” or sensational, headlines to attract readers to view the content being marketed. The aim of this study is to examine how the use of clickbait headlines on Facebook influences the perceived credibility of the story source by employing a 2 (news type) x 2 (source type) x 2 (level of source credibility) online experiment. Participants were presented with either clickbait or traditional science news headlines, which differed in the type of source (education vs. news) and the level of source credibility (low vs. high.) After exposure to each headline, they were then asked to rate their perceived credibility toward the source of the article. The findings showed that the use of clickbait headlines results in negative effects on perceived source credibility. Also, sources with pre-existing low credibility suffered the most when using clickbait strategies than sources with high pre-existing credibility.
Realizing the Well-Being of Senior Citizen by Developing Smart Application: A Conceptual Model

Years after years, there is an increased number of senior citizens in Malaysia. As the result, senior citizens become one of the society segments that given a priority focus by the government. Many programmes are planned by the government to help the senior citizen. But, issues on senior citizen still occurred, such as financial/economy, social, emotion/psychology, religious spiritual, education/knowledge, health, environment, family, and others. Today, technology grows rapidly and used in many sectors, including education, health, security, and in daily activities. Harnessing technology makes life easier and productive. Mobile application can be found easily and utilized by everyone. The researcher believes that this technology/smart application can help the senior citizen to be productive and have a good life. Literature Review, Business Model Environment Map (EM), Business Model Canvas (BMC), and Value Preposition Canvas (VPC) used as the method of this paper. Therefore, this research paper proposed a conceptual solution to realize the well-being of Senior citizen through Smart Application.
Investigating the effect of long trip on driving performance, eye blinks, and awareness of sleepiness among commercial drivers: A naturalistic driving test study

A total of 120 commercial drivers from four age groups participated in the expressway driving test in Shandong, China to perform 2, 3, and 4 h continuous driving tasks and collect the data on the driver's blinking, driving performance and self-reported level of sleepiness. Two-way repeated measures ANOVA was used to evaluate the effects of driving duration on the variation of the eye-blink behavior, driving performance and subjective feeling of sleepiness across the different age groups over the time periods tested. Additionally, Pearson product-moment correlation was used to quantify the association between the variations of the dependent variables. The results showed that there was significant difference between groups, significant effect over time and significant interaction between the age and driving duration in the variations of the driver’s blink frequency, blink duration, closure duration, speed perception, choice reaction time, number of incorrect action judgments and subjective level of sleepiness. However, a significant difference varied over time, but no effect of the interaction between groups and time were found in the variation of the driver’s attention allocation value. Furthermore, driver’s eye blink measures were more sensitive to sleepiness and older drivers were more likely to get sleepy in long distance driving.
Effect of Class Size and Students ’ Attitude on Academic Performance in Chemistry at Demonstration Secondary School , Ahmadu Bello University Zaria , Nigeria

The study examines the effect of class size and student attitude on academic performance in chemistry among demonstration secondary school students of Ahmadu Bello University, Zaria. It was guided by three research questions and three hypotheses. The sample of the study was made up of 50 students and 5 teachers. The research instrument was structured questionnaire for both the students and teachers. The teacher’s questionnaire consists of 10 questions designed to determine the effect of class size in teaching chemistry. While the student’s questionnaire consists of 20 questions designed to determine student’s attitude toward chemistry. The data collected were analyzed using Percentages, Mean, standard deviation and t-test statistics was used to analyze the hypotheses at 0.05 level of significance. The study revealed the following findings; there was significant difference in student’s attitude to chemistry on their academic performance (tcal=0.65034 > t-crit = 0.5885 at p<0.05). There was a significant difference in class size on student’s academic performance in chemistry (t-cal = 2.02516 > t-crit = 0.1128; tcal = 8.48528 > t-crit = 0.0011 at p<0.05). There was significant difference between male and female students academic performance in chemistry (t-cal = 0.75665 > t-crit = 0.5043 at p<0.05). As a result, the boys performed better than the girls. Boys had a stronger affinity and interest towards Chemistry. Recommendations based on the findings were made among which include; Parents as well as chemistry teachers should encourage the students to develop positive attitude towards chemistry. Also, parents should provide learning opportunities to their girls and should not discourage the girls from studying chemistry.
Vertical Elliptic Operator for Efficient Wave Propagation in TTI Media

Elliptic wave extrapolation operators require significantly less computational cost than the ones for transversely isotropic (TI) media. However, it does not provide accurate wavefield representation or imaging for the prevalent TI media. We propose a new vertical elliptically anisotropic (VEA) wave equation by decomposing the acoustic TI pseudo-differential wave equation. The decomposition results in a vertical elliptic differential equation and a scalar operator. The new VEA-like wave equation shares the same dispersion relation as that of the original acoustic TI wave equation. Therefore, the kinematic contents are correctly matched to the original equation. Moreover, the proposed decomposition yields better amplitude properties than the isotropic decomposition without increasing the computational load. Therefore, it exhibits better cost versus accuracy tradeoff compared to the isotropic or the tilted elliptic decompositions. We demonstrate with numerical examples that the proposed methodology is numerically stable for complex models and is free from shear-wave artifacts.
Facets of Fit, Flourishing and Organisational Commitment as Explanatory Mechanisms of Talent Retention in the Hospitality Industry

The objective of the study was to explore the relationship between the concepts, “fit”, “flourishing” and “organisational commitment”, in order to inform talent retention within the hospitality industry. In addition, the study aimed to determine whether demographic variables and the facets of “fit” and “flourishing” can predict organisational commitment of employees. The study utilised a non-probability convenience sampling method (N = 389) to select employees from the hospitality industry across the Indian Ocean (Maldives, Seychelles, Mauritius and Madagascar). The sample was mostly local Mauritian males. Bivariate correctional analysis revealed positive relationships between the facets, “fit”, “flourishing” and “organisational commitment”, in the hospitality industry and further indicated that the demographic variables, and the facets of “fit” and “flourishing” can positively and significantly predict organisational commitment. The findings contribute new insights into the constructs of “fit”, “flourishing” and “organisational commitment” and extends research on antecedents of organisational commitment. These findings provide valuable talent retention recommendations for the hospitality industry. Organisations in the hospitality industry could apply these results and recommendations to effectively develop interventions for retaining their employees by taking into consideration the aspects of fit, flourishing and organisational commitment of their employees.
Dissipativity and performance analysis of smart dampers via LMI synthesis

This paper investigates the dissipativity and performance of semiactive systems with smart dampers via linear matrix inequality (LMI) synthesis. For this purpose, a dissipativity index is proposed to modify a standard linear quadratic regulator (LQR) using the techniques available in LMI‐based multiobjective convex programming for better semiactive performance. First, a review of available dissipativity indices is given, and two new dissipativity indices are defined based on the concept of energy dissipation rate. Second, an LQR problem is defined in terms of a linear objective function and several LMI constraints. Then, for each dissipativity index, a dissipativity inequality constraint is defined. It is observed that only one of the dissipativity constraints can be represented in terms of LMIs and implemented in the LQR problem. A modified LMI‐based LQR controller is obtained by attaching the dissipativity constraint in its weak form. The dissipativity indices and the proposed controller are employed for two numerical examples to investigate the dissipativity and performance of semiactive systems. The first example is a 2DOF building with an ideal damper attached in the first storey, and an LQR controller is selected such that it has high dissipativity levels. The second example is a 2DOF model of a highway bridge where a realistic magnetorheological (MR) fluid damper is attached at the bearing location resulting in an LQR controller with low dissipativity levels. Comprehensive parametric studies are carried out for both examples using the modified LQR with various dissipativity constraint values and the standard LQR. For the first example, it is found that the indices are very useful to identify the dissipative nature and semiactive performance relations. Also, the proposed method is able to improve the dissipative nature of the controller improving the semiactive performance. On the other hand, for the second example, although the proposed method is able to improve the dissipativity, the overall semiactive performance does not show a major improvement due to drastically lowered dissipativity levels caused by the realistic damper model. Copyright © 2006 John Wiley & Sons, Ltd.
Convergent evidence for the pervasive but limited contribution of biomass burning to atmospheric ammonia in peninsular Southeast Asia

Abstract. Ammonia ( NH3 ) is an important agent involved in atmospheric chemistry and nitrogen cycling. Current estimates of NH3 emissions from biomass burning (BB) differ by more than a factor of 2, impeding a reliable assessment of their environmental consequences. Combining high-resolution satellite observations of NH3 columns with network measurements of the concentration and stable nitrogen isotope composition ( δ15N ) of NH3 , we present coherent estimates of the amount of NH3 derived from BB in the heartland of Southeast Asia, a tropical monsoon environment. Our results reveal a strong variability in atmospheric NH3 levels in time and space across different landscapes. All of the evidence on hand suggests that anthropogenic activities are the most important modulating control with respect to the observed patterns of NH3 distribution in the study area. N-isotope balance considerations revealed that during the intensive fire period, the atmospheric input from BB accounts for no more than 21±5 % ( 1σ ) of the ambient NH3 , even at the rural sites and in the proximity of burning areas. Our N-isotope-based assessment of the variation in the relative contribution of BB-derived NH3 is further validated independently through the measurements of particulate K+ , a chemical tracer of BB. Our findings underscore that BB-induced NH3 emissions in tropical monsoon environments can be much lower than previously anticipated, with important implications for future modeling studies to better constrain the climate and air quality effects of wildfires.
THE ASYMMETRIC MARKET VALUATION OF NONRECURRING ITEMS AND ACCOUNTING CONSERVATISM

The present study, the information content of different components of nonrecurring items as the important component of accounting earnings, the effect of conservatism on the information content of nonrecurring items and the asymmetric market valuation of nonrecurring items of gains and losses in Tehran Stock Exchange have been investigated. To measure the conservatism, Khan and Watts regression model has been used. For this purpose, a sample including 122companies listed at Tehran's stock exchange during the 2007 and 2011 has been studied. In order to analyze and examine the relationship between the variables in our study, the approaches of balanced panel data was used. Research findings indicate that the earnings response coefficient for negative nonrecurring items is significantly more than that for positive ones. Results of regression analysis suggest that the extent the conservatism variable influences the earning response coefficient in separated samples is significantly different based on the positive and negative nonrecurring items. Although the influence of conservatism on both groups is significant and positive, but these coefficients are different in value. Finally, results indicate a stronger positive relation between conservatism and earnings response coefficients for companies with negative nonrecurring items.
On Time-Consistent Multi-Horizon Portfolio Allocation

We analyse the problem of constructing multiple mean-variance portfolios over increasing investment horizons in stochastic interest rate markets. The traditional one-period mean-variance optimal portfolios of Hansen and Richard (1987) require the replication of two payoffs. When several maturities are considered, different payoffs have to be replicated each time, with an impact on transaction costs. Using martingale decomposition techniques and introducing a family of risk-adjusted measures linked to increasing maturities, we provide an intertemporal version of the traditional orthogonal decomposition of asset returns. This allows us to construct a multi-horizon mean- variance frontier that is time-consistent and requires the replication of solely two payoffs for all horizons under consideration. When transaction costs are taken into account, our time-consistent mean-variance frontier may outperform the traditional mean-variance optimal strategies in terms of Sharpe ratio. Some interesting examples of this fact come from long-term contracts as life annuities.
Why Empirical Studies of the Groupthink Model have Failed

The theory of groupthink has been highly beneficial in the study of how groups make decisions. It has permeated almost every field containing decision making groups. Despite its popularity, there has been a surprising lack of empirical support for the model. It is the aim of this paper to suggest a possible explanation for the current state of groupthink research. First the groupthink model is described briefly, followed by a look at several selected empirical and case studies of groupthink. A potential reason for the dearth of empirical is then proposed along with a suggestion for future groupthink research.
Results 3 . 1 Intake of a high-fat diet produces a specific aortic lipidome signature

Lipidomic and metabolomic analyses reveal potential plasma biomarkers of early atheromatous plaque formation in hamsters
Constructing the Individual Education Plan: Confusion or Collaboration?.

The Special Education Needs Code of Practice (2001) states that both parents and children should be actively involved in the decisions that surround the child's special educational need. In particular, it acknowledges the ‘unique knowledge’ that children have of their own needs and advocates that they should take part in the setting and evaluating of Individual Education Plan (IEP) targets. This small-scale research project, involving Year 6 students in a mainstream junior school, investigates to what extent there is common agreement between the teacher, parent and child with regard to the nature of the child's need. Additionally, it examines to what extent partnership is expressed through the targets shown on the IEP and in particular whether the voice of the child is heeded. This article concludes by suggesting that while some children may be willing to engage with IEP targets that are teacher-initiated, children whose voice is overlooked are in danger of becoming disengaged from learning. [ABSTRACT FROM AUTHOR]
A Data-driven Approach to Agent Based Exploration of Customer Behaviour

Customer retention is a critical concern for most mobile network operators because of the increasing competition in the mobile services sector. This concern has driven companies to exploit data as an avenue to better understand customer needs. Data mining techniques such as clustering and classification have been adopted to understand customer retention in the mobile services industry. However, the effectiveness of these techniques is debatable due to the increasing complexity of the mobile market itself. This study proposes an application of Agent-Based Modeling and Simulation (ABMS) as a novel approach to understanding customer retention. A dataset provided by a mobile network operator is utilised to automate decision trees and agent based models. The most popular churn modeling techniques were adopted in order to automate the development of models, from decision trees, and subsequently explore customer churn scenarios. ABMS is used to understand the behavior of customers and detect possible reasons why customers churned or stayed with their respective mobile network operators. Data analysis is able to identify that location and choice of mobile devices were determinants for the decision to churn or stay with their mobile network operator with word of mouth as an important factor. Importantly, agent based simulation is able to explore further the determinants in the wider marketplace.