76 research outputs found

    Radar Orbit Analsis Tool Using Least Squares Estimator

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    Most objects tracked in space follow a regular Keplerian orbit; unfortunately, non-Keplerian objects such as maneuvering satellites, tethered systems, and thrusting ballistic missiles are becoming more common. It is important to be able to distinguish between Keplerian and non-Keplerian objects due to the potential risk of a tethered satellite being mistaken for an object on re-entry. This research focused on creating a computer model that can detect the non-gravitational acceleration present in non-Keplerian orbits. A 3rd order Taylor series expansion was used to model the dynamics and to produce simulated radar data. Linear least squares estimation was used to estimate the initial state of a space object with a state vector composed of position, velocity, acceleration, and its first derivative. Monte Carlo analysis was used to verify that the estimator was unbiased and representative of the uncertainty in the data. The Monte Carlo method detected non-gravitational acceleration as small as 1.12 cm/s2; however, a subsequent approach that analyzed the data sets individually only detected acceleration as small as 10.63 cm/s2. At smaller magnitudes, the estimator was able to detect the presence of non-gravitational acceleration, but was ultimately unable to estimate the true value with statistical accuracy

    Extension Professionals and Sustainability Practices: Are We Walking Our Talk?

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    Today more than ever, Extension is scrutinized and evaluated for its value and relevance to the public. This report summarizes a 2010 online survey conducted by members of the National Network for Sustainable Living Education (NNSLE) to assess the sustainability mindset of Extension employees. It assessed employee behaviors, motivations, and impediments—at work and at home—in five categories. Most notably, Extension employees are avid resource conservation practitioners who are strongly influenced by saving time and money. The findings provide a platform for sustainability education in Extension offices to promote transformative institutional and community change

    Risk Factors of Cardiovascular Disease in Iraq from 2000 to 2023: A Systematic Review

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    Background: Cardiovascular disease has become the leading cause of death worldwide. (CVD) is today the leading cause of global mortality and morbidity. Aims : To assess the risk factors associated with cardiovascular illnesses in Iraq. Methods: The researcher searched Web of Sciences ,Google Scholar, PsycINFO, Scopus, and PubMed. The study included a Systematic review of the studies on risk factors of cardiovascular disease from 2000 to 2023. Results: Only eleven research articles from 2000 to 2023 addressed the risk factors for cardiovascular disease in Iraq. The 22 items of the STROBE checklist were applied after a quality assessment to strengthen reporting on epidemiological observation studies. No articles were excluded. Conclusion: A thorough analysis examined Iraqi cardiovascular disease risk factor studies from 2000 to 2023. With only eleven papers, the study found few relevant studies. Smoking, hypertension, diabetes, and obesity are common risk factors. Women are more likely to have certain risk factors. Acute coronary syndromes are more common in people 45–65. However, younger people have risk factors. Smoking and obesity increase cardiovascular disease risk

    The Value of Jointly Held Conferences: Benefits and Considerations for Planners and Participants

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    University faculty and staff regularly participate in academic conferences as part of their professional responsibilities, yet the literature on their value is scarce, especially when examining conferences held jointly by two associations. Research is needed to help association leaders, planning committees, and attendees make informed decisions about conference organization and participation. This paper highlights the benefits and challenges of a jointly held academic conference for participants, association leaders, and organizational liaisons. In June of 2016, two Cooperative Extension associations, the National Association of Community Development Extension Professionals (NACDEP) and the Association of Natural Resource Extension Professionals (ANREP), jointly held a conference in Burlington, VT. Surveys were administered to conference participants, planning committee members, and liaisons at the United States Department of Agriculture National Institute of Food and Agriculture (NIFA) to collect data immediately following the conference and six months later. Using the Community Capitals Framework (CCF) to organize evaluation results, the authors discuss the benefits and challenges of planning, sponsoring, and attending the conference from the perspectives of these different groups. The authors focus on three community capitals: human capital, social capital, and cultural capital. Based on the findings, they offer recommendations for future evaluation of jointly held academic conferences

    A Systematic Review of The Risk Factors Affecting Low Birth Weight

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    Backgrounds: Low birth weight (LBW) is a significant factor in 60 to 80 percent of all neonatal fatalities and is one of the most important health indicators in the primary measure set used by the International Dietary Surveillance Application.  Objectives: This systematic review was conducted to determine the factors affecting to LBW. Materials & Methods: Embase, Cochrane Library, Web of Science, Google Scholar, PubMed, and Scopus, and Persian scientific databases were searched from 2012 to 2022. Selection procedure, data screening and analysis were performed by two independent reviewers. The quality of included articles were evaluated with the 22-item strengthening the Reporting of Observational Studies in Epidemiology (STROBE) and a checklist of appropriate criteria based on the research design for each one. Results: Of the 1200 articles collected, 51 met the study inclusion criteria. The most common variables with a frequency of more than 15%  that led to LBW were the mother\u27s age (22 studies, 43/13%), mother\u27s chronic diseases (Hypertension and diabetes mellitus), mother\u27s iron deficiency anemia (14 studies, 27/45%), mother\u27s weight and BMI (13 studies, 25/4%), ANC visits (12 studies, 23/52%), sex of the child (9 studies, 17/64%), parity and inter-pregnancy interval (8 studies, 15/68%).  Conclusion: The mother\u27s age, chronic diseases, mother’s anemia, mother\u27s weight and BMI, insufficient ANC visits, sex of the child, parity and inter-pregnancy interval have a great impact on the LBW. Therefore, interventions, plans and programs aimed at addressing these risk factors could potentially reduce the incidence of LBW

    Longitudinal PLS-SEM analysis of the performance and participation of students in mathematics

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    The mathematics performance of Australian high-school students in Year 9 and their participation in mathematics subjects in Year 12 has plummeted in the last 20 years. In this paper, a retrospective cohort study was conducted to understand how non-cognitive variables controlled or explained the correlation between mathematics performance in Year 9 and mathematics participation in Year 12. The sample consisted of a cohort of Australian students (N = 6653; n = 3115, 46.8% male) who participated in the Longitudinal Survey of Australian Youth (LSAY) in 2007 to 2017. Partial least squares structural equation modelling (PLS-SEM) was conducted to explore the degree to which one moderating variable and five mediating variables intervened in the relationship between mathematics performance in Year 9 and mathematics participation in Year 12. Mathematics performance in Year 9 predicted mathematics participation in Year 12 (R2 = 18.4%). The positive correlation was moderated by gender and mediated by five non-cognitive factors associated with self-related beliefs: mathematics self-concept, self-efficacy, interest, motivation, and anxiety (R2 = 28.9%). At any given level of mathematics performance in Year 9, a male student with a higher level of mathematics self-concept, self-efficacy, interest, and motivation, and a lower level of anxiety, was more likely to participate in mathematics subjects in Year 12 than a female student with a lower level of mathematics self-concept, self-efficacy, interest, and motivation, and a higher level of anxiety. These finding have implications for ameliorating the declining levels of mathematics performance and participation

    Financial market index prediction using machine learning

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    The present work aims to tackle the crucial objective of forecasting values for a range of financial market indices in order to maximize income while minimizing potential losses. This study utilizes a comparative analysis approach to examine the performance of artificial neural networks (ANNs) and decision tree models in predicting stock market movements in Saudi Arabia (KSA). The analysis is conducted using a daily database. The predictive models included in this study are constructed using historical stock market data, which encompasses the time period from January 1, 2013, to October 4, 2023. The primary objective of these models is to generate accurate projections specifically for the Tadawul Daily Index. The main objective of this study is to evaluate and contrast the effectiveness of artificial neural network (ANN) and decision tree models in predicting the performance of the stock market in Saudi Arabia. The analysis demonstrates that the decision tree model has a somewhat lower predictive capability when compared to the artificial neural network (ANN) model. The present study utilizes statistical metrics, namely root-mean-squared error (RMSE) and mean absolute error (MAE), to assess and quantify the accuracy of predictions. Moreover, a thorough examination is undertaken, encompassing a range of relevant statistical indicators, and visually representing the data series using graphical means. The utilization of a diverse methodology serves to augment knowledge and facilitate a comprehensive grasp of the intrinsic daily patterns observed in the Tadawul Daily Index. The objective is to enhance the understanding and examination of the complexities of the stock market, so empowering investors and financial analysts to make educated choices that match with their strategic goals and risk management methods. The studys findings provide significant contributions to the field of financial market prediction, specifically in the Kingdom of Saudi Arabia

    Theoretical exploration of heat transport in a stagnant power-law fluid flow over a stretching spinning porous disk filled with homogeneous-heterogeneous chemical reactions

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    The distinction between homogeneous and heterogeneous chemical reactions is crucial because many chemically reactive systems, such as hydrometallurgical processes, cooling towers, biological systems, fog dispersion, catalysis, etc., involve both types of reactions. Thus, this study analyzes the heat transmission (HT) characteristics in an MHD stagnant flow of power-law fluid caused by a spinning disk that is stretched and saturated in a porous medium. The study considers homogeneous-heterogeneous (HH) reactions and nonlinear thermal radiation subject to no-slip and convection boundary conditions. The leading equations are switched into ordinary differential equations (ODEs) employing similarity variables. The study focuses on the dimensionless concentration, velocity, temperature, Nusselt number, and skin friction coefficient, which are discussed in detail in the results and discussion section. The study observes that for power-law fluids with an index value less than 1, the skin friction coefficient decays as the power-law index grows. It also notes that the dimensionless skin friction of power-law fluids decreases as the velocity ratio increases. The dimensionless concentration increases with Schmidt and modified Prandtl numbers for both power-law fluids over a stretching spinning porous disk. The HH reaction parameters decline the concentration of power-law fluids. © 2023 The AuthorsDeanship of Scientific Research, King Khalid University: RGP.2/492/44The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University, Abha, Saudi Arabia for funding this work through Large Groups Project under grant number RGP.2/492/44

    Municipal health expectancy in Japan: decreased healthy longevity of older people in socioeconomically disadvantaged areas

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    BACKGROUND: Little is known about small-area variation in healthy longevity of older people and its socioeconomic correlates. This study aimed to estimate health expectancy at 65 years (HE65) at the municipal level in Japan, and to examine its relation to area socio-demographic conditions. METHODS: HE65 of municipalities (N = 3361) across Japan was estimated by a linear regression formula with life expectancy at 65 years and the prevalence of those certificated as needing nursing care. The relation between HE65 and area socio-demographic indicators was examined using correlation coefficients. RESULTS: The estimated HE65 (years) ranged from 13.13 to 17.39 for men and from 14.84 to 20.53 for women. HE65 was significantly positively correlated with the proportion of elderly and per capita income, and negatively correlated with the percentage of households of a single elderly person, divorce rate, and unemployment rate. These relations were stronger in large municipalities (with a population of more than 100,000) than in small and medium-size municipalities. CONCLUSION: A decrease in healthy longevity of older people was associated with a higher percentage of households of a single elderly person and divorce rate, and lower socioeconomic conditions. This study suggests that older people in urban areas are susceptible to socio-demographic factors, and a social support network for older people living in socioeconomically disadvantaged conditions should be encouraged
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