26 research outputs found

    Fast and simple extraction of pesticide residues in selected fruits and vegetables using tetrafluoroethane and toluene followed by ultrahigh-performance liquid chromatography/tandem mass spectrometry

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    An extraction and analytical method for the determination of pesticide residues in fruits and vegetables has been developed. The method includes extraction with a pressurised liquid solvent containing a mixture of 1,1,1,2-tetrafluoroethane and toluene, and identification/quantification of pesticides using ultra-high-performance liquid chromatography coupled to tandem mass spectrometry (UPLC/MS/MS). Validation studies were carried out to evaluate the performance of the method for the determination of 71 different pesticides and metabolites in tomato, cucumber, pepper, spinach, zucchini, grape, cherry, peach and apricot. Matrix-matched calibration curves were applied and correlation coefficients (r(2)) came out to be greater than 0.99. Limit of quantification (LOQ) values of the active substances were found to be lower than the maximum residue limits (MRL) according to regulations in Turkey. The recovery values were found to be between 70% and 120% with relative standard deviations less than 20%. Based on these results, the proposed method is fast, cheaper, rugged and gives quantitative results with no additional clean-up steps. (C) 2012 Elsevier Ltd. All rights reserved

    Harnessing Knowledge on Very Important Pharmacogenes CYP2C9 and CYP2C19 Variation for Precision Medicine in Resource-Limited Global Conflict Zones

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    Pharmacogenomics harnesses the utility of a patient's genome (n=1) in decisions on which therapeutic drugs and in what amounts should be administered. Often, patients with shared ancestry present with comparable genetic profiles that predict drug response. However, populations are not static, thus, often, population mobility through migration, especially enmasse as is seen for refugees, changes the pharmacogenetic profiles of resultant populations and therefore observed responses to commonly used therapeutic drugs. For example, in the aftermath of the Syrian civil war since 2011, millions have fled their homes to neighboring countries in the Middle East. The growing permanence of refugees and mass migrations is a call to shift our focus in the life sciences community from old models of pharmaceutical innovation. These seismic social changes demand faster decisions for population-to-population bridging, whereby novel drugs developed in or for particular regions/countries can meet with rational regulatory decisions/approval in world regions impacted by migrant/refugee populations whose profiles are dynamic, such as in the Eastern Mediterranean region at present. Thus, it is important to characterize and report on the prevalence of pharmacogenes that affect commonly used medications and predict if population changes may call for attention to particular differences that may impact health of patients. Thus, we report here on four single-nucleotide polymorphism (SNP) variations in CYP2C9 and CYP2C19 genes among Mersin-Turkish healthy volunteers in the Mersin Province in the Eastern Mediterranean region that is currently hosting a vast number of migrant populations from Syria. Both CYP2C9 and CYP2C19 are very important pharmacogene molecular targets. We compare and report here on the observed SNP genetic variation in our sample with data on 12 world populations from dbSNP and discuss the feasibility of forecasting the pharmacokinetics of drugs utilized by migrant communities in Mersin and the Eastern Mediterranean region. This study can serve as a catalyst to invest in research in Syrian populations currently living in the Eastern Mediterranean. The findings have salience for rapid and rational regulatory decision-making for worldwide precision medicine and, specifically, pharmacogenovigilance-guided bridging of pharmacokinetics across world populations in the current era of planetary scale migration

    Integrated Production and Transportation Scheduling Problem With Multiple Plants, Multiple Vehicles and Perishable Products

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    The integrated production and transportation scheduling problem is one of the interesting topics in the literature. This paper addresses Integrated Production and Transportation Scheduling Problems with Multiple Plants, Multiple Vehicles, and Perishable Products (PTSP-MP-MV). To the best of our knowledge, this problem has not been studied in the literature. In this problem, each plant has a different capacity and a different production rate. There is a single machine and a limited number of homogeneous vehicles in each plant. Each vehicle can be used more than once because of the vehicle capacity and planning horizon restrictions. Only one type of product is produced, and this product has a limited lifespan. The objective of the problem is to minimize the total cost including production, distribution, and vehicle costs. We propose a mixed integer programming (MIP) formulation for the problem and strengthen it with several valid inequalities to improve lower bounds. The performance of the formulation is calculated using a newly generated set of test instances. Computational results show that small-sized instances with 5 and 10 customers can be solved optimally in less than 90 s. Satisfactory results are obtained for the test instances up to 20 customers whose optimality gap values are calculated as 0.54% nearly 1 h. It is also shown that the valid inequalities are improved lower bounds about 3%. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.Acknowledgements. This study is derived from the author Gozde CAN ATASA-GUN’s PhD thesis entitled “The Coordinated Production and Transportation Scheduling Problem with Multiple Plants and Multiple Vehicles” (Supervisor: Prof. Dr. Ismail KARAOGLAN) which is supported by Konya Technical University Coordinatorship of Scientific Research Projects with the project number of 18101021 and has not been published elsewhere.Konya Teknik Üniversitesi, KTÜN: 1810102

    Systematic Integration Of Urban Farming Into Urban Metabolisms: Waste As A Resource For Urban Food Production

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    As the global population rise, climate conditions get more and more unpredictable, natural resources deplete; cities need to take action in order to sustain healthy living conditions as well as to ensure food safety. Currently, cities are solely dependent on external sources and suburban areas for natural resources and food as well as waste management. This linear metabolism results in cities consuming 60-80% of natural resources and producing 50% of waste globally. (Tsui et al., 2021) This problem can be overcome by introducing urban farming into cities by utilising waste and underused space as a resource for urban food production. Waste can be circulated in the city in order to generate a network of waste producing functions and farms. There are urban farming systems which can digest waste and produce supplements for urban food production. However, the quest of choosing an urban farming system based on existing vacant spaces and waste flows is a complicated task. The complexity is a result of variables in the equation which may effect decision making such as different systems, waste types, vacant space characteristics as well as the size of spaces and the quantity of available waste. Moreover, in sites consisting of numerous vacant spaces and waste sources decision making is even more complex and laborious. If human designers were to perform this task then they would need to iterate countless times for each vacant space, each waste source close to it and each potential urban farming systems. However, when it comes iterating and repeating the same steps, computers are explicitly faster, time-efficient and error free. Therefore a decision making tool which can assist designers to choose urban farming systems based on existing conditions can be a practical resource. This paper investigates how to integrate urban farming into cities by utilising under-used spaces and existing waste sources via using a decision making tool. The design rules and the methodology are formed based on literature review regarding different farming systems, varying waste flows and computational approaches. A prototype of the tool is generated and tested on 2 case studies in order to showcase the potential of such an approach combining food production with waste management. Architecture, Urbanism and Building Sciences | Building Technology | Sustainable Desig

    Phytochemicals and Health: An Update

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    Phytochemicals are naturally occurring compounds found largely in the fruits, vegetables, cereals and beverages. Phytomeans “plant” in the Greek language. These compounds are known to provide color, aroma and taste, as well as functioning as a natural defense system in plants. It is the main source of phytochemicals of onion, garlic, leek, cabbage, cauliflower, broccoli, soybean, tomato juice, citrus and citrus peels, carrots, nuts, grains, green tea, grapes, olives, beans, peas and cherries. The most widely used form of classification is flavonoids, phyto-estrogens, phytosterols and carotenoids.Phytochemicals have various functions including preventing the action of free radicals, stimulation of enzymes, interference with DNA replication, antioxidant, act as hormones, cancer preventing compounds, anti-bacterial effect, physical protective action and reduce the bioavailability of nutrients. It is reported that phytochemicals are effective in the prevention or treatment of diseases such as cancer, diabetes, cardiovascular diseases and hypertension, neural tubedefects, osteoporosis, regulation of bowelmovements, prevention and treatment of arthritis. Today, phytochemicals are nutritional compounds that play a role in healthy and balanced nutrition. Vegetable foods are preferred because they are easy to find, economical and do not easily lose their nutritional properties. Scientific approaches should be taken to ensure that diet is vegetarian and dietary modulations should be introduced by providing a positive impact on human health by arranging daily diets. © 2021 Scrivener Publishing LLC

    My Birth Story is Like a Dream: A Childbirth Educator's Childbirth

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    Fear of childbirth is universal. Because of the stories of bad experiences passed down for years, many women fear childbirth. As a result, many women do not believe in the power of their own bodies and often hand over control of their bodies to health-care professionals, resulting in unhappy childbirth experiences because of unnecessary intervention during labor and birth. As a pregnancy trainer who prepares pregnant women for childbirth, the author wrote her personal childbirth story with an autoethnographic narrative method. Her aim is to help motivate pregnant women preparing for childbirth, health-care professionals preparing those pregnant women, and birthing staff

    Islamic Doctrines and Political Liberalism: Muslim's Sincere Support

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    About this book: This book delves into the compatibility of Islam with liberal values, engaging in a comparative analysis of Islamic moral language and John Rawls's liberal democratic ideas. Rawls, a prominent modern liberal political philosopher, posits that diverse moral and religious doctrines in a pluralistic society should align with the principles of a liberal democratic political culture. The author shares Rawls's assumptions and maps out a spectrum of Islamic orthodoxy positions to assess the plausibility of reconciling Islamic doctrines with a liberal political order. While acknowledging that such compatibility is not the mainstream outlook, the book argues that it's feasible through reasonable interpretations of Islamic sources. The central question addressed is the realism of observant Muslims endorsing a liberal democratic state from within their doctrinal tradition. By examining a range of Islamic orthodoxy positions, the book demonstrates that Muslims can theoretically find Islamic reasons, rooted in acceptable interpretations of divine sources, to justify their commitment to a liberal state. Furthermore, it provides moral reasons and strategies for the liberal state to address incompatible Islamic doctrines, ensuring Muslims can maintain religious practices without an Islamic political authority. This theoretical framework offers insights for future empirical and theoretical studies on Muslims navigating pluralistic liberal societies, making it a vital contribution to the discourse on Islam and liberalism

    Enhancing Efficiency in Railway Freight Logistics Using a Two-Stage Decision Support Technique with q-Rung Orthopair Fuzzy Sets

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    Enhancing railway freight logistics efficiency is crucial for strengthening global supply chain performance, yet persistent challenges such as infrastructure limitations, operational inefficiencies, and fragmented intermodal integration hinder optimal performance. Despite its critical role in economic and environmental sustainability, limited research offers comprehensive, universally applicable solutions for addressing these issues. This study bridges this gap by introducing a novel multi-criteria decision-making (MCDM) framework that integrates inter-criteria correlation (CRITIC) and multi-objective optimization based on ratio analysis (MULTIMOORA) with Q-rung orthopair fuzzy sets (q-ROFSs) to handle complex and conflicting decision-making scenarios. These methods were selected for their complementary strengths. CRITIC effectively quantifies the importance of criteria by considering their interdependencies, MULTIMOORA offers robust multi-objective optimization capabilities, and q-ROFSs manage the inherent uncertainty and ambiguity of real-world logistics problems. Their integration provides a comprehensive framework capable of addressing both the complexity and uncertainty in railway freight logistics decision-making while offering actionable solutions to policymakers and industry leaders.The presentation of the authors' names and (or) special characters in the title of the pdf file of the accepted manuscript may differ slightly from what is displayed on the item page. The information in the pdf file of the accepted manuscript reflects the original submission by the author

    Bibliometric analysis of 50 most cited articles on odontomas

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    Objective: To identify the citation features and review articles on odontomas using bibliometric analysis. Material and Methods: A list of studies about odontoma was obtained by searching using the Scopus database. Abstracts or full texts were read and evaluated. After then, 50 most cited articles were achieved. Studies were categorized as citation numbers, citation density, journal name, article type, the affiliation of the first author and publication year. Descriptive statistics were used to analyze the results. Results: The most frequently cited article received 358 citations, while the least frequently cited article received 42 with a mean of 94.3 citations per article. The mean citation density was 5.13. The study with the highest citation density (12.31) was published in 2006. The highest citation number was found in the 2000s following the 1990s. The 50 most cited articles were published from 1971 to 2011, with 84% (42 of 50) published after 1990. USA (n = 9) and Brazil (n = 6) were the two most contributing countries. According to article type, there were eight (16%) review articles. Conclusion: The USA found to have a strong influence on research about odontoma, followed by Brazil. All researches were reported in English, and most of them were published in good quality journals
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