48 research outputs found

    Risk Factors in Addition To Short and Long-Term Outcomes With Thin Catheter Surfactant Administration Failure in Preterm Infants: a Retrospective Analysis

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    Kanmaz Kutman, H. Gozde/0000-0002-3177-9411; Siyah Bilgin, Betul/0000-0003-3807-4809; Kadioglu Simsek, Gulsum/0000-0003-4831-8950Objective: To evaluate the incidence of thin catheter surfactant administration (TCA) failure and compare short and long-term neonatal outcomes who failed TCA or did not. Design: Single-center retrospective cohort study. Infants between 25 and 30 weeks of gestational age with respiratory distress syndrome and receiving 200 mg/kg poractant alfa via thin catheter administration were included. TCA failure was defined as the need for early mechanical ventilation ( 72 h). Infants were divided into two groups those who failed TCA or those who did not. Results: The TCA failure rate was 24.6%. Initial oxygen requirement (0.39% vs. 0.36%) and the number of small for gestational age infants were significantly higher in the TCA failure group (15% vs. 7.9%). Infants who failed TCA had a higher pneumothorax (6.7% vs. 1.1%, p = 0.03), BPD (15% vs.5.5%, p = 0.02), late-onset sepsis (36.7% vs. 18%, p = 0.04), retinopathy of prematurity rates (11.7% vs. 3.3%, p = 0.02) and an increased duration of respiratory support. However, Bayley Scales of Infant Development II scores were comparable between groups at 18 and 26 months of corrected age. Conclusion: Infants who fail TCA are at increased risk for short-term complications despite favourable long-term neurodevelopmental outcomes. Identifying infants at risk of TCA failure may help early prevention of morbidities and individualise their management

    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

    Exceptional maternal lineage diversity in brown bears (Ursus arctos) from Turkey

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    Cilingir, F. Gozde/0000-0002-4575-1487; Beerli, Peter/0000-0003-0947-5451; Bilgin, C Can/0000-0001-9284-307X; Ambarli, Huseyin/0000-0003-4336-9417WOS: 000368930100008The genetic diversity and phylogeography of maternal lineages in Ursus arctos Linnaeus, 1758 (the brown bear) have been studied extensively over the last two decades; however, sampling has largely been limited to the northern Holarctic, and was possibly biased towards lineages that recolonized the vast expanses of the north as the Last Glacial Maximum (LGM) ended. Here we report the genetic diversity and phylogeography of U.arctos from Turkey based on 35 non-invasive samples, including five from captive individuals. Bayesian phylogenetic analyses based on a 269-bp fragment of the mitochondrial DNA control region revealed 14 novel haplotypes belonging to three major lineages. The most widespread lineage was found to be the Eastern clade3a, whereas geographically more restricted Western and Middle Eastern lineages were reported for the first time in Turkey. A specimen from the Taurus mountain range carried a haplotype closely related to the presumably extinct bears in Lebanon. Moreover, we identify a unique new lineage that appears to have split early within the Middle Eastern clade. Despite limited sampling, our study reveals a high level of mitochondrial diversity in Turkish U.arctos, shows that the ranges of both European and Middle Eastern clades extend into Turkey, and identifies a new divergent lineage of possibly wider historical occurrence. Obtaining these results with 35 samples also demonstrates the value of proper sampling from regions that have not been significantly affected by the LGM.(c) 2015 The Linnean Society of LondonXII. Regional and Artvin Provincial Directorate of Ministry of Forestry and Water Affairs; Middle East Technical University Research Funds [BAP-07-02-2011-101, BAP-07-02-2012-101]We are grateful to the following people who helped obtain samples: Yasar Kusdili, Yuksel Ekinci, Ozgur Kollu, Deniz Mengulluoglu, Cumhur Karakas, Birol Civan, and Umut Dogruoz, and the directors and veterinarians of Antalya, Bursa, and Konya zoos. We also thank XII. Regional and Artvin Provincial Directorate of Ministry of Forestry and Water Affairs for their support. Ettore Randi, Jorg Plotner, and David P. Bickford provided helpful comments on this article, and Lexo Gavashelishvili, Issam Hajjar, and D. van Bendegem, of the Alertis Foundation, made available unpublished information on bears from Georgia, Syria, and European zoos, respectively. Kackar Mountains Sustainable Forest Use and Conservation Project and Nature Conservation Center (DKM) provided field support. This project was funded by Middle East Technical University Research Funds BAP-07-02-2011-101 and BAP-07-02-2012-101

    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

    An ontology-based approach for delay analysis in construction

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    Delay is a common problem of the construction sector and it is one of the major reasons of claims between project participants. Systematic and reliable delay analysis is critical for successful management of claims. In this study, a delay analysis ontology is proposed that may facilitate development of databases, information sharing as well as retrieval for delay analysis within construction companies. A detailed literature review on construction delays has been carried out during the development of the ontology and it is evaluated by using five case studies. The delay analysis ontology may be used for different purposes especially to support decision-making during risk and claim management processes. It may enable companies to create their own databases, corporate memories and develop decision support systems for better analysis of delays

    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

    A Lessons Learned Database Structure for Construction Companies

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    AbstractKnowledge management in project based industries is critical as in the case of construction industry. Besides being a project based industry, factors specific to construction projects also make it harder to capture knowledge. Construction projects are held in dispersed locations, by different parties involved, with variable objectives; all of which make capturing the information more difficult and knowledge management process more complex. This study presents a database structure and an information system that can be used to capture dispersed information in the form of “lessons learned” as they accumulate during a construction project. In this paper, both the database structure will be proposed as well as the process that “lessons learned” can be utilized in forthcoming projects. A prototype database is created and retrieval capabilities provided within the structure are tested with entry of cases from hypothetical projects. This process reinforced the suitability of the proposed structure for codification and retrieval of “lessons learned” from a construction project. Possible use of the database is exemplified with “lessons learned” extracted from the hypothetical projects. This structure is aimed to base an information system where capture and dissemination of “lessons learned” from projects will be improved by its use, and planning and decision making processes for forthcoming projects will be facilitated

    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
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