Psychological Security and Its Relationship to Empathy Among a Sample of Early Childhood in Jubail Industrial City

The current research aims at revealing the relationship between psychological security and empathy in the stage of early childhood at the Jubail Industrial City. Its significance can be attributed to the importance of developing empathy among children, enlightening the community and educators about the importance of psychological security and its relationship to empathy among children in the early childhood stage. An analytical descriptive approach was employed as it suits the nature of the current research. A random sample comprising 204 children in the early childhood stage. Having applied the psychological security [1] and empathy scales [2] to the research sample, the following result was reached. There is a statistically significant correlation between psychological security and empathy in a sample of children in the early childhood stage in Jubail Industrial City

Data envelopment analysis for measuring the efficiency of head trauma care in England and Wales

This research develops a comprehensive model for evaluating the efficiency and productivity of the sector of head trauma injury (HTI) care in England and Wales, in order to reduce the costs associated with trauma care. After assessing the advantages and disadvantages of various efficiency measurement approaches, the data envelopment analysis (DEA) methodology is chosen for this research, including both the DEA-based Malmquist index model and the bootstrapping DEA model. Since the variables selected for these models include some missing data, the approach known as multiple imputation by chained equations (MICE) is proposed to deal with such missing data situations, in order to ensure the accuracy of the inferential and predictive results that our analyses generate. In addition, an experimental study is provided to simulate this approach, in order to investigate its validity as a methodology for replacing such missing values within DEA applications. This experimental study is based on a real data set of 66 hospitals provided by the Trauma Audit and Research Network (TARN), within Salford Royal NHS Foundation Trust. The results of this experimental study show that MICE works well and gives an acceptable estimate of true efficiency.Furthermore, this research introduces a framework that combines DEA with structural equation modelling (SEM) in order to investigate the effects of uncontrollable variables on efficiencies. While the use of DEA provides valuable results, our SEM analysis reveals additional findings that were not identified in previous studies. For example, unlike previous second stage analysis studies in DEA that focused on only the direct effects of environmental factors on the efficiency scores, this study uses SEM to investigate further any indirect effects and the total effects of these uncontrollable factors on the efficiencies. This additional information is shown to be more useful and more informative than the results generated by the previous studies.The methodologies proposed and developed in this thesis are then applied to the full set of available TARN data in order to measure the efficiency and productivity of HTI care, demonstrating real possibilities for reducing the costs of head trauma care

Prevalence Refractive Errors among Medical Students of Qassim University, Saudi Arabia: Cross-Sectional Descriptive Study

OBJECTIVE: To study the prevalence of various errors of refraction among the medical students studying at the college of medicine, Qassim University, Saudi Arabia.METHODS: This is a cross-sectional descriptive study conducted at Qassim University clinics over a period of two months. The study population comprised 162 male and female students from different academic years. The students were selected randomly so that around 35-40 students were taken from each academic class. The selected study population was explained the objectives of the study and a written consent form that stated the purpose, methods, risks, benefits, and the assurance of the confidentiality of the data was obtained from each student. After giving the consent, each subject was examined by auto refractometer. The examination was carried out by an optometrist without using cycloplegia. Both right and left eyes were thoroughly examined by auto refractometer and on the average three readings of the refraction measurements were taken. The readings were recorded on a data sheet of every individual, and the Statistical analysis was performed using Statistical Package for Social Sciences (SPSS).RESULTS: One hundred and sixty-two (162) students with a mean age of 22.44 years, Std 1.661 and a range of 8 (19-27) were included in the study. Of the total number, 111 (68.51%) were males and remaining 51 (31.48%) were females. Of the total sample, only 1 (0.617%) student had diabetes mellitus, and 6 (3.70%) students gave a history of previous ocular surgery. Myopia was found to be the commonest error of refraction 53.7% with hyperopia next to it.CONCLUSION: Myopia is found to be a common error of refraction in young adults. A regular checkup is essential to timely correct the error and to prevent deterioration of the vision

Design & investigation of 10x10 gbit/s MDM over hybrid FSO link under different weather conditions and fiber to the home

In this paper, we design and investigate 10-channels of mode division multiplexer (MDM) over hybrid free-space optics (FSO) link in several weather conditions to achieve the maximum possible medium range and fiber to the home (FTTH) for high bandwidth access networks. System capacity can be effectively increased with the use of MDM over hybrid FSO-FTTH. In this study, a 10-channel MDM over FSO-FTTH system has been analyzed in different weather conditions that operate at 1550 nm wavelength. The simulated system has transmitted 100 Gbit/s up for a distance of 3200 meters FSO in superbly clear weather condition. It also transmitted 100 Gbit/s up for a distance of 650 meters FSO during heavy rain. The validation of this study is measures based on eye diagrams bit-error rates (BER) that have been analyzed

Religious faith and psychosocial adaptation among stroke patients in Kuwait: A mixed method study

This is the author's accepted manuscript. The final published article is available from the link below. Copyright @ 2012 Springer Science+Business Media.Religious faith is central to life for Muslim patients in Kuwait, so it may influence adaptation and rehabilitation. This study explored quantitative associations among religious faith, self-efficacy, and life satisfaction in 40 female stroke patients and explored the influence of religion within stroke rehabilitation through qualitative interviews with 12 health professionals. The quantitative measure of religious faith did not relate to life satisfaction or self-efficacy in stroke patients. However, the health professionals described religious coping as influencing adaptation post-stroke. Fatalistic beliefs were thought to have mixed influences on rehabilitation. Measuring religious faith among Muslims through a standardized scale is debated. The qualitative accounts suggest that religious beliefs need to be acknowledged in stroke rehabilitation in Kuwait

Health-related quality of life in infertile couples receiving IVF or ICSI treatment

<p>Abstract</p> <p>Background</p> <p>Infertile couples might experience psychological distress and suffer from impaired health-related quality of life. This study aimed to examine health-related quality of life in infertile couples receiving either in-vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI) treatment.</p> <p>Methods</p> <p>This was a cross-sectional study of quality of life in infertile couples attending to Vali-e-Asr Reproductive Health Research Center or Royan Institute for either IVF or ICSI treatment in Tehran, Iran. Health-related quality of life was assessed using the Short Form Health Survey (SF-36). Patients' demographic and clinical characteristics were also recorded. Data were analyzed to compare quality of life in infertile women and men and to indicate what variables predict quality of life in infertile couples.</p> <p>Results</p> <p>In all 514 women and 514 men (n = 1028) were studied. There were significant differences between women and men indicating that male patients had a better health-related quality of life. Also health-related quality of life was found to be better in infertility due to male factor. Performing logistic regression analysis it was found that female gender, and lower educational level were significant predictors of poorer physical health-related quality of life. For mental health-related quality of life in addition to female gender and lower educational level, younger age also was found to be a significant predictor of poorer condition. No significant results were observed for infertility duration or causes of infertility either for physical or mental health-related quality of life.</p> <p>Conclusion</p> <p>The findings suggest that infertility duration or causes of infertility do not have significant effects on health-related quality of life in infertile couples. However, infertile couples, especially less educated younger women, are at risk of a sub-optimal health-related quality of life and they should be provided help and support in order to improve their health-related quality of life.</p

Third national surveillance of risk factors of non-communicable diseases (SuRFNCD-2007) in Iran: methods and results on prevalence of diabetes, hypertension, obesity, central obesity, and dyslipidemia

<p>Abstract</p> <p>Background</p> <p>The burden of non-communicable diseases is rising globally. This trend seems to be faster in developing countries of the Middle East. In this study, we presented the latest prevalence rates of a number of important non-communicable diseases and their risk factors in the Iranian population.</p> <p>Methods</p> <p>The results of this study are extracted from the third national Surveillance of Risk Factors of Non-Communicable Diseases (SuRFNCD-2007), conducted in 2007. A total of 5,287 Iranian citizens, aged 15–64 years, were included in this survey. Interviewer-administered questionnaires were applied to collect the data of participants including the demographics, diet, physical activity, smoking, history of hypertension, and history of diabetes. Anthropometric characteristics were measured and serum biochemistry profiles were determined on venous blood samples. Diabetes (fasting plasma glucose ≥ 126 mg/dl), hypertension (systolic blood pressure ≥ 140 mmHg, diastolic blood pressure ≥ 90 mmHg, or use of anti-hypertensive drugs), dyslipidemia (hypertriglyceridemia: triglycerides ≥ 150 mg/dl, hypercholesterolemia: total cholesterol ≥ 200 mg/dl), obesity (body mass index ≥ 30 kg/m²), and central obesity (waist circumference ≥ 80 cm in females and ≥ 94 cm in males) were identified and the national prevalence rates were estimated.</p> <p>Results</p> <p>The prevalence of diabetes, hypertension, obesity, and central obesity was 8.7% (95%CI = 7.4–10.2%), 26.6% (95%CI = 24.4–28.9%), 22.3% (95%CI = 20.2–24.5%), and 53.6% (95%CI = 50.4–56.8%), respectively. The prevalence of hypertriglyceridemia and hypercholesterolemia was 36.4% (95%CI = 34.1–38.9%) and 42.9% (95%CI = 40.4–45.4%), respectively. All of the mentioned prevalence rates were higher among females (except hypertriglyceridemia) and urban residents.</p> <p>Conclusion</p> <p>We documented a strikingly high prevalence of a number of chronic non-communicable diseases and their risk factors among Iranian adults. Urgent preventive interventions should be implemented to combat the growing public health problems in Iran.</p

Present Limits to Heat-Adaptability in Corals and Population-Level Responses to Climate Extremes

Climate change scenarios suggest an increase in tropical ocean temperature by 1–3°C by 2099, potentially killing many coral reefs. But Arabian/Persian Gulf corals already exist in this future thermal environment predicted for most tropical reefs and survived severe bleaching in 2010, one of the hottest years on record. Exposure to 33–35°C was on average twice as long as in non-bleaching years. Gulf corals bleached after exposure to temperatures above 34°C for a total of 8 weeks of which 3 weeks were above 35°C. This is more heat than any other corals can survive, providing an insight into the present limits of holobiont adaptation. We show that average temperatures as well as heat-waves in the Gulf have been increasing, that coral population levels will fluctuate strongly, and reef-building capability will be compromised. This, in combination with ocean acidification and significant local threats posed by rampant coastal development puts even these most heat-adapted corals at risk. WWF considers the Gulf ecoregion as “critically endangered”. We argue here that Gulf corals should be considered for assisted migration to the tropical Indo-Pacific. This would have the double benefit of avoiding local extinction of the world's most heat-adapted holobionts while at the same time introducing their genetic information to populations naïve to such extremes, potentially assisting their survival. Thus, the heat-adaptation acquired by Gulf corals over 6 k, could benefit tropical Indo-Pacific corals who have <100 y until they will experience a similarly harsh climate. Population models suggest that the heat-adapted corals could become dominant on tropical reefs within ∼20 years

Artificial intelligence for photovoltaic systems

Photovoltaic systems have gained an extraordinary popularity in the energy generation industry. Despite the benefits, photovoltaic systems still suffer from four main drawbacks, which include low conversion efficiency, intermittent power supply, high fabrication costs and the nonlinearity of the PV system output power. To overcome these issues, various optimization and control techniques have been proposed. However, many authors relied on classical techniques, which were based on intuitive, numerical or analytical methods. More efficient optimization strategies would enhance the performance of the PV systems and decrease the cost of the energy generated. In this chapter, we provide an overview of how Artificial Intelligence (AI) techniques can provide value to photovoltaic systems. Particular attention is devoted to three main areas: (1) Forecasting and modelling of meteorological data, (2) Basic modelling of solar cells and (3) Sizing of photovoltaic systems. This chapter will aim to provide a comparison between conventional techniques and the added benefits of using machine learning methods