47 research outputs found

    A binary particle swarm optimization algorithm for ship routing and scheduling of liquefied natural gas transportation

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    With the increasing global demands for energy, fuel supply management is a challenging task of today’s industries in order to decrease the cost of energy and diminish its adverse environmental impacts. To have a more environmentally friendly fuel supply network, Liquefied Natural Gas (LNG) is suggested as one of the best choices for manufacturers. As the consumption rate of LNG is increasing dramatically in the world, many companies try to carry this product all around the world by themselves or outsource it to third-party companies. However, the challenge is that the transportation of LNG requires specific vessels and there are many clauses in related LNG transportation contracts which may reduce the revenue of these companies, it seems essential to find the best option for them. The aim of this paper is to propose a meta-heuristic Binary Particle Swarm Optimization (BPSO) algorithm to come with an optimized solution for ship routing and scheduling of LNG transportation. The application demonstrates what sellers need to do to reduce their costs and increase their profits by considering or removing some obligations

    The Association between functional-emotional development and creative thinking in preschool children

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    Introduction: Considering that creativity is essential to adapt to today's complex world, identification of the affecting factors on the development of this way of thinking is one of the necessities of research area. Hence, the aim of present research is to investigate the relationship between emotional-functional development as a potential effective factor and the formation of creative thinking. Methods: 80 children and their mothers were selected from preschools of Mashhad City based on cluster sampling method. The level of creativity among children was measured through Torrance Test of Critical Thinking (TTCT: visual B-form). The mothers of children in sample group answered the Greenspan Social- Emotional Growth Chart. Results: Data analysis showed a significantly positive association between functional-emotional development and aspects of fluidity, expansion and innovation in two groups of male and female preschool children as verified in creativity test. The results of simple linear regression analysis also showed that functional-emotional development can predict 0.05 percent of variance in creativity. Based on the results of t-test for independent groups, there was no significant difference in the level of functional-emotional development and creative thinking among male and female preschool students. Conclusion: The findings of present study supports the theory of Greenspan (1997) regarding the significance of functional-emotional development in integrated development of human kind and emergence of higher levels of thinking. Declaration of Interest: None.

    The Effects of Imitative Vs. Cognitive Methods on The Speech Development of Children With Autism

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    How to Cite This Article: Jalili M, Jahangiri N, Yazdi Aa, Ashrafzadeh F. The Effects of Imitative Vs. Cognitive Methods on The Speech Development of Children With Autism. Iran J Child Neurol. 2014 Winter; 8(1):37-46.ObjectiveThe present study was performed to examine the effects of two speech therapy methods on six verbal behaviors of autistic children, including oral speech, listening, organizing, speaking, semantics, and syntax.Materials & MethodsIn this study, thirty 6-8 years old children with autism were assigned to one of two groups: imitative and cognitive groups. Before starting the main procedures of the study, the children of both groups were homogenized concerning their autism level. In the first phase of the study, the speech development level of the two groups was measured in a pre-test, in which both groups showed similar results. Then, both groups of children received 6 months of speech therapy instruction, during which one group was taught using an imitative method, while the other group was being worked with cognitive method.ResultsAfter 6-month treatment period, a post-test was done, and the t-tests based on the data of the two groups revealed a significant difference between the results.ConclusionThe statistics showed that after the teaching period, autistic that worked with cognitive method gained a better development in their speech abilities, comparing to those worked with the imitative method.Reference:Samadi SA, Mahmoodizadeh A, McConkey R. A national study of the prevalence of Autism among five year old children in Iran. Autism 2012;16(1):5-14.Fombonne E, Simmons H, Ford T, Meltzer H, Goodman R. Prevalence of pervasive developmental disorders in the British nationwide survey of child mental health. J Am Acad Child Adolesc Psychiatry 2001;40(7):820-7.Fombonne, E. The changing epidemiology of Autism. J Appl Res Intellect Disabil 2005,18(4):281-94.Filipek PA, Accardo PJ, Ashwal S, Baranek GT, Cook EH Jr, Dawson G, et al. Practice parameter: screening and diagnosis of autism: report of the Quality Standards Subcommittee of the American Academy of Neurology and the Child Neurology Society. Neurology 2000;55(4):468-79.Samadi, SA. Comparative policy brief: status of intellectual disabilities in the Islamic republic of Iran. J Policy Pract Intellect Disabil 2008;5:129-32.Rogers SJ, An examination of the imitation deficit in autism. In: Nadel J, Butterworth G, editors. Imitation in infancy. Cambridge: Cambridge University Press; 1999. p.254-83.Ozonoff S, Pennington BF, Rogers SJ. Executive function deficits in high-functioning autistic individuals: Relationship to theory of mind. J Child Psychol Psychiatry 1991;32(7):1081-105.Williams JH, Whiten A, Suddendorf T, Perrett DI. Imitation, mirror neurons and autism. Neurosci Biobehav Rev 2001;25(4):287-95.Rogers SJ, Hepburn SL, Stackhouse T, Wehner E. Imitation performance in toddlers with autism and those with other developmental disorders. J Child Psychol Psychiatry 2003;44(5):763-81.Gena A, Krantz PJ, McClannahan LE, Poulson CL. Training and generalization of affective behavior displayed by youth with autism. J Appl Behav Anal 1996;29(3):291-304.Ingenmey R, Van Houten R. Using time delay to promote spontaneous speech in an autistic child. J Appl Behav Anal 1991;24(3):591-6.Ayzenson J. Language and speech disorders in children. Tehran: Roshd publications; 2010.De Giacomo A, Fombonne E. Parental recognition of developmental abnormalities in autism. Eur Child Adolesc Psychiatry 1998;7(3):131-6.Hodgdon LA. Solving behavior problems in autism: improving communication with visual strategies. Quirkroberts publishing; 2001. P.32.Bertrand J, Mars A, Boyle C, Bove F, Yeargin-Allsopp M, Decoufle P. Prevalence of autism in a United States population: the Brick Township, New Jersey, investigation. Pediatrics 2001;108(5):1155-61.Siegel B. Helping children with autism learn: a guide to treatment approaches for parents and professionals. Oxford: Oxford Press Inc; 2002. P.3.Plimley L, Bowen M. Social skills and autism spectrum disorders, London: Paul Chapman publishing; 2007.Mohammadi M, Mesgarpour B, Sahimi Izadian E, Mohammadi M. Psychiatric tests for children and young adults: CARS test. Tehran: Teimourzadeh publications; 2006.Schopler E, Mesibov GB. Diagnosis and Assessment in Autism. New York, NY: Springer publications; 1988. P.3-4.Newcomer P, Hammill D. TOLD: test of language development. (Adaption and standardization to Persian language by Hassanzadeh S and Minaei A.). Tehran: Publications of Ministry of Education; 1977.Dequinzio JA. Generalized Imitation of Facial Models by Children with Autism. J Appl Behav Anal 2007;40(4):755-9.Hatch E. Farhady H. Research design and statistics for applied linguistics. Rahnama publications; 2007. P.28.Brown JS, Rodgers T. Doing second language research. Oxford: Oxford University Press; 2004. P.47.Brown J. Understanding research in second language learning. A teacher’s guide to statistics and research design. Cambridge: Cambridge university press; 1995. P.31

    The Role of Religious Attitude in Coping with Psychological Distress and Emotion Regulation Difficulties of UT Students

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    For downloading the full-text of this article please click here.Background and Objective: There is strong evidence to suggest that psychological distress and emotion regulation problems have adverse effects on life. Given that, finding the underlying processes seems important. Besides, since religion is a determining factor in emotion regulation and mental health, this study aimed to investigate the role of religious attitude in emotion regulation difficulties and distress. (Depression, Anxiety, stress).Method: This descriptive-correlational study used multistage cluster sampling from all students at University of Tehran in academic year of 94-95. 211 students (120 female and 91 male) were selected. They were asked to complete Religious Attitude Scale-Short Form (RAS-R), difficulties in emotion regulation questionnaire (Difficulties in Emotion Regulation Scale or DERS-16) and Depression, Anxiety, Stress Scale (DASS-21). Then, the data were analyzed with using Pearson correlation coefficient and multiple regression analysis. In this study, the ethical issues were all considered and the authors declared no conflict of interest.Results: The results show that religious attitudes negatively affect depression, anxiety and stress. Also, anxiety has negative relationships with inner spirituality, worship and religious morality. Besides, morality had predictive power for anxiety. Moreover, among the four dimensions of distress, only anxiety negatively correlated with religious attitude (morality, inner spirituality and worship) and morality had predictive power for anxiety. Furthermore, the results indicated that morality had predictive power for difficulties in emotion regulation (limited access in emotion regulation, impulse control) and the inner spirituality had predictive power for non-acceptance of emotion.Conclusion: It can be concluded that different aspects of religious attitude can both directly and indirectly play important roles in anxiety and difficulties in emotion regulation. Therefore, paying attention to religious attitude in pathology and treatment protocols of anxiety disorders is necessary.For downloading the full-text of this article please click here

    Inteligencia emocional y su papel en la flexibilidad cognitiva de niños con y sin trastorno por déficit de atención con hiperactividad

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    The aim of this study was to compare role of emotional intelligence in cognitive flexibility of children with and without Attention Deficit Hyperactivity Disorder (ADHD). Participants were 20 children (mean age = 10.25, SD = 2.12) with ADHD and 30 normal children (mean age = 10.96, SD = 1.32) that all of they were boy. All participants completed the Emotional Intelligence Questionnaire (Schutte et al., 1998) and the classic Stroop test, as a measure of cognitive flexibility.  ADHD children performed poorer on both measures than non-ADHD children.  And emotional intelligence predictors of cognitive flexibility in two groups. Overall, in children with attention deficit – hyperactivity disorder there are low performance of emotional intelligence and cognitive flexibility.El objetivo de este estudio fue comparar el papel de la inteligencia emocional en la flexibilidad cognitiva de niños con y sin trastorno por déficit de atención e hiperactividad (TDAH). Los participantes fueron 20 niños (edad promedio = 10.25, DT = 2.12) con TDAH y 30 niños normales (edad promedio = 10.96, DT = 1.32) que todos eran niños. Todos los participantes completaron el Cuestionario de inteligencia emocional (Schutte et al., 1998) y la prueba clásica de Stroop, como una medida de la flexibilidad cognitiva. Los niños con TDAH se desempeñaron peor en ambas medidas que los niños sin TDAH. Y predictores de inteligencia emocional de la flexibilidad cognitiva en dos grupos. En general, en niños con déficit de atención - trastorno de hiperactividad hay bajo rendimiento de inteligencia emocional y flexibilidad cognitiva

    An integrated grey-based multi-criteria decision-making approach for supplier evaluation and selection in the oil and gas industry

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    Purpose The oil and gas industry is a crucial economic sector for both developed and developing economies. Delays in extraction and refining of these resources would adversely affect industrial players, including that of the host countries. Supplier selection is one of the most important decisions taken by managers of this industry that affect their supply chain operations. However, determining suitable suppliers to work with has become a phenomenon faced by these managers and their organizations. Furthermore, identifying relevant, critical and important criteria needed to guide these managers and their organizations for supplier selection decisions has become even more complicated due to various criteria that need to be taken into consideration. With limited works in the current literature of supplier selection in the oil and gas industry having major methodological drawbacks, the purpose of this paper is to develop an integrated approach for supplier selection in the oil and gas industry. Design/methodology/approach To address this problem, this paper proposes a new uncertain decision framework. A grey-Delphi approach is first applied to aid in the evaluation and refinement of these various available criteria to obtain the most important and relevant criteria for the oil and gas industry. The grey systems theoretic concept is adopted to address the subjectivity and uncertainty in human judgments. The grey-Shannon entropy approach is used to determine the criteria weights, and finally, the grey-EDAS (evaluation based on distance from average solution) method is utilized for determining the ranking of the suppliers. Findings To exemplify the applicability and robustness of the proposed approach, this study uses the oil and gas industry of Iran as a case in point. From the literature review, 21 criteria were established and using the grey-Delphi approach, 16 were finally considered. The four top-ranked criteria, using grey-Shannon entropy, include warranty level and experience time, relationship closeness, supplier’s technical level and risks which are considered as the most critical and influential criteria for supplier evaluation in the Iranian oil and gas industry. The ranking of the suppliers is obtained, and the best and worst suppliers are also identified. Sensitivity analysis indicates that the results using the proposed methodology are robust. Research limitations/implications The proposed approach would assist supply chain practicing managers, including purchasing managers, procurement managers and supply chain managers in the oil and gas and other industries, to effectively select suitable suppliers for cooperation. It can also be used for other multi-criteria decision-making (MCDM) applications. Future works on applying other MCDM methods and comparing them with the results of this study can be addressed. Finally, broader and more empirical works are required in the oil and gas industry. Originality/value This study is among the first few studies of supplier selection in the oil and gas industry from an emerging economy perspective and sets the stage for future research. The proposed integrated grey-based MCDM approach provides robust results in supplier evaluation and can be used for future domain applications

    Mapping development and health effects of cooking with solid fuels in low-income and middle-income countries, 2000-18 : a geospatial modelling study

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    Background More than 3 billion people do not have access to clean energy and primarily use solid fuels to cook. Use of solid fuels generates household air pollution, which was associated with more than 2 million deaths in 2019. Although local patterns in cooking vary systematically, subnational trends in use of solid fuels have yet to be comprehensively analysed. We estimated the prevalence of solid-fuel use with high spatial resolution to explore subnational inequalities, assess local progress, and assess the effects on health in low-income and middle-income countries (LMICs) without universal access to clean fuels.Methods We did a geospatial modelling study to map the prevalence of solid-fuel use for cooking at a 5 km x 5 km resolution in 98 LMICs based on 2.1 million household observations of the primary cooking fuel used from 663 population-based household surveys over the years 2000 to 2018. We use observed temporal patterns to forecast household air pollution in 2030 and to assess the probability of attaining the Sustainable Development Goal (SDG) target indicator for clean cooking. We aligned our estimates of household air pollution to geospatial estimates of ambient air pollution to establish the risk transition occurring in LMICs. Finally, we quantified the effect of residual primary solid-fuel use for cooking on child health by doing a counterfactual risk assessment to estimate the proportion of deaths from lower respiratory tract infections in children younger than 5 years that could be associated with household air pollution.Findings Although primary reliance on solid-fuel use for cooking has declined globally, it remains widespread. 593 million people live in districts where the prevalence of solid-fuel use for cooking exceeds 95%. 66% of people in LMICs live in districts that are not on track to meet the SDG target for universal access to clean energy by 2030. Household air pollution continues to be a major contributor to particulate exposure in LMICs, and rising ambient air pollution is undermining potential gains from reductions in the prevalence of solid-fuel use for cooking in many countries. We estimated that, in 2018, 205000 (95% uncertainty interval 147000-257000) children younger than 5 years died from lower respiratory tract infections that could be attributed to household air pollution.Interpretation Efforts to accelerate the adoption of clean cooking fuels need to be substantially increased and recalibrated to account for subnational inequalities, because there are substantial opportunities to improve air quality and avert child mortality associated with household air pollution. Copyright (C) 2022 The Author(s). Published by Elsevier Ltd.Peer reviewe

    Estimating global injuries morbidity and mortality : methods and data used in the Global Burden of Disease 2017 study

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    Background While there is a long history of measuring death and disability from injuries, modern research methods must account for the wide spectrum of disability that can occur in an injury, and must provide estimates with sufficient demographic, geographical and temporal detail to be useful for policy makers. The Global Burden of Disease (GBD) 2017 study used methods to provide highly detailed estimates of global injury burden that meet these criteria. Methods In this study, we report and discuss the methods used in GBD 2017 for injury morbidity and mortality burden estimation. In summary, these methods included estimating cause-specific mortality for every cause of injury, and then estimating incidence for every cause of injury. Non-fatal disability for each cause is then calculated based on the probabilities of suffering from different types of bodily injury experienced. Results GBD 2017 produced morbidity and mortality estimates for 38 causes of injury. Estimates were produced in terms of incidence, prevalence, years lived with disability, cause-specific mortality, years of life lost and disability-adjusted life-years for a 28-year period for 22 age groups, 195 countries and both sexes. Conclusions GBD 2017 demonstrated a complex and sophisticated series of analytical steps using the largest known database of morbidity and mortality data on injuries. GBD 2017 results should be used to help inform injury prevention policy making and resource allocation. We also identify important avenues for improving injury burden estimation in the future.Peer reviewe

    Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017

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    A double burden of malnutrition occurs when individuals, household members or communities experience both undernutrition and overweight. Here, we show geospatial estimates of overweight and wasting prevalence among children under 5 years of age in 105 low- and middle-income countries (LMICs) from 2000 to 2017 and aggregate these to policy-relevant administrative units. Wasting decreased overall across LMICs between 2000 and 2017, from 8.4% (62.3 (55.1–70.8) million) to 6.4% (58.3 (47.6–70.7) million), but is predicted to remain above the World Health Organization’s Global Nutrition Target of <5% in over half of LMICs by 2025. Prevalence of overweight increased from 5.2% (30 (22.8–38.5) million) in 2000 to 6.0% (55.5 (44.8–67.9) million) children aged under 5 years in 2017. Areas most affected by double burden of malnutrition were located in Indonesia, Thailand, southeastern China, Botswana, Cameroon and central Nigeria. Our estimates provide a new perspective to researchers, policy makers and public health agencies in their efforts to address this global childhood syndemic

    Global injury morbidity and mortality from 1990 to 2017 : results from the Global Burden of Disease Study 2017

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    Correction:Background Past research in population health trends has shown that injuries form a substantial burden of population health loss. Regular updates to injury burden assessments are critical. We report Global Burden of Disease (GBD) 2017 Study estimates on morbidity and mortality for all injuries. Methods We reviewed results for injuries from the GBD 2017 study. GBD 2017 measured injury-specific mortality and years of life lost (YLLs) using the Cause of Death Ensemble model. To measure non-fatal injuries, GBD 2017 modelled injury-specific incidence and converted this to prevalence and years lived with disability (YLDs). YLLs and YLDs were summed to calculate disability-adjusted life years (DALYs). Findings In 1990, there were 4 260 493 (4 085 700 to 4 396 138) injury deaths, which increased to 4 484 722 (4 332 010 to 4 585 554) deaths in 2017, while age-standardised mortality decreased from 1079 (1073 to 1086) to 738 (730 to 745) per 100 000. In 1990, there were 354 064 302 (95% uncertainty interval: 338 174 876 to 371 610 802) new cases of injury globally, which increased to 520 710 288 (493 430 247 to 547 988 635) new cases in 2017. During this time, age-standardised incidence decreased non-significantly from 6824 (6534 to 7147) to 6763 (6412 to 7118) per 100 000. Between 1990 and 2017, age-standardised DALYs decreased from 4947 (4655 to 5233) per 100 000 to 3267 (3058 to 3505). Interpretation Injuries are an important cause of health loss globally, though mortality has declined between 1990 and 2017. Future research in injury burden should focus on prevention in high-burden populations, improving data collection and ensuring access to medical care.Peer reviewe
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