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- ItemAn examination of the psychological resilience of preschool children with and without Montessori education(Wiley, 2024-08) Sezgin, Elif; Şener, Tülay; 157389This study aims to compare the psychological resilience of children who receive Montessori education with those who do not receive Montessori education(the group attends a school where education is provided according to the Preschool Education Programme of the Ministry of National Education). The study used the Relational Scanning Model Comparison Types to compare the psychological resilience of children who received Montessori education with those who did not. The research involved 99 children aged 3–6 years who received regular preschool and Montessori education during the 2021–2022 academic year. It is reported that no developmental or neurological defects were observed in any of the participants. The study group comprised 50 children aged 3–6 years from a private kindergarten affiliated with National Education in Nilüfer district and 49 children aged 3–6 years from a private Montessori kindergarten in Nilüfer district. According to the study, children who received Montessori education demonstrated comparatively higher levels of psychological resilience than those who did not receive Montessori education. It has been observed that there exists a weak but meaningful correlation between the psychological resilience of children and their social relationships/social performance, particularly in those who have received Montessori education for an extended duration. As a result, it can be inferred that Montessori education positively impacts children's psychological resilience.
- ItemEnhancing municipal solid waste management efficiency through clustering: a case study(Taylor and Francis, 2024-11) Çil, Sedat; Karaer, Feza; Salihoğlu, N. Kamil; Tabansız Göç, Gülveren; Çavdur, Fatih; 409903This study leverages real-time datasets generated through IoT technology and smart city applications to enhance solid waste management in Yalova Province, Turkey. By integrating these datasets with the municipality’s Geographic Information System (GIS) using the ITRF/96 3 UTM X Y Coordinate System, a dynamic waste collection framework was established. The K-Means clustering algorithm was employed to determine the optimal waste container placement, considering capacities of 550, 800, 1,000, and 3,000 liters and walking distances of 50–100 ms. Results indicated that 1,000 and 3,000-liter containers with a 100-m walking distance maximized collection efficiency. Replacing 484 traditional containers with 105 units of 3,000 liters reduced total routes by 34%, transport costs by 42.2%, and CO2 emissions by 33.5%. The study underscores the importance of integrating GIS and IoT technologies for real-time waste management, aligning with the UN’s Sustainable Development Goals (SDG 11 and SDG 13). By combining data-driven decision-making with urban sustainability practices, it offers a replicable model for municipalities seeking to reduce costs and environmental impacts in waste collection.
- ItemEvaluating Environmental Performance in the Turkish Cement Industry(Springer, 2025-04) Yıldız, Hakan; Şengül, Serkan; Köprücü, Yılmaz; 355807; Tsounis, Nicholas; Vlachvei, AspasiaThe purpose of this study is to investigate the environmental performance of the Turkish cement industry. Employing the data set of 8 firms operating in the cement industry and using Data Envelopment Analysis, we estimate the CO2 efficiency in the industry. The empirical findings suggest that the average carbon efficiency in the sector is approximately 71%, indicating substantial room for efficiency enhancement through innovative production techniques and alternative fueluse. However, asignificant reduction intechnical efficiency hasbeen observable over the years. Promoting sustainable practices and investing in technological advancements can reverse this trend. Also, such policies can reduce the industry’s carbon footprint, thus it may be possible to combat greenhouse gas emissions and achieve the targets set in this regard.
- ItemHope and psychological resilience in primary caregivers of patients with a chronic mental illness followed in a community mental health center(Elsevier, 2024-03) Erkuş, Şeyma; Babacan Gümüş, Aysun; 372023Purpose: The aim of this study is to examine hope and psychological resilience in primary caregivers of patients with a chronic mental illness. Design and methods: The descriptive study was conducted on 297 caregivers in community mental health centers in Turkey. Data were collected using the Introductory Information Form, Dispositional Hope Scale and the Resilience Scale for Adults. Findings: Hope and psychological resilience of primary caregivers of patients with a chronic mental illness were moderate. To sociodemographic and caregiver characteristics; caregivers who are over 40 years old, lost his/her spouse, low education level, housewife or retired, unemployed, who evaluated their incomes low, mother, living in the same house with the patient, caring for ten years or more, caring for another patient and not getting help in care had lower hope and resilience levels. Compared to patients with a diagnosis of bipolar disorder, caregivers of patients with schizophrenia had lower hope and psychological resilience levels. Conclusions: Primary caregivers of patients with a chronic mental illness should be supported in terms of hope and psychological resilience.
- PublicationMathematical model to upcycle end-of-roll leftover fabrics in apparel manufacturing(Sage, 2024-06) İşeri, Ali; Kızılaslan, Recep; 135066This study addresses the problem of end-of-roll leftover fabrics originating after the production of baby/child apparel. The ineffective management of these leftovers results in excess inventory, occupies storage space, and imposes economic and environmental loads. To address this challenge, a novel mathematical modeling approach is proposed. The model maximizes the upcycling of leftovers by incorporating these into the manufacturing of garments while adhering to marketing, production, and ordering constraints. This model also introduces the feasibility of ordering new fabrics with a penalty, as defined by the decision makers, to increase utilization. The model was tested using actual end-of-roll leftover data. The upcycling utilization of leftovers was calculated to be between 57% and 87%. Notably, at an upcycling rate of 58%, 96% of the utilized fabrics were sourced from leftovers. The case study results validate the model efficacy and provide insights into leftover-fabric management.
- ItemPsychological impact of disaster relief operations: a study following consecutive earthquakes in Turkey(Cambridge University Press, 2024-05) İşeri, Ali; Baltacı, Recep; 135066Objective: This cross-sectional study investigates the immediate psychological effects of disaster relief operations on team members following 2 consecutive major earthquakes in Turkey. Methods: A total of 170 participants, including professional firefighters, search and rescue (SAR) workers, and volunteers, were surveyed approximately 1 month after the conclusion of active SAR operations. The study utilizes the DSM-V criteria and the Posttraumatic Stress Disorder Checklist (PCL-5) to assess symptoms of post-traumatic stress disorder (PTSD) among participants. Results: The findings reveal a point prevalence of 35.3% for probable PTSD, highlighting the substantial psychological impact on disaster relief teams. Factors such as age, residency in affected areas, and active SAR involvement significantly influenced probable PTSD rates. Interestingly, actively engaged SAR members had lower probable PTSD rates, possibly due to their training. Those who directly witnessed the earthquakes had higher scores, highlighting the impact of firsthand exposure. Additionally, individuals aged 50 and above displayed a higher mean total severity score compared to younger participants. Conclusions: This research contributes to understanding the mental well-being of disaster relief professionals. The study’s findings underscore the importance of timely mental health support and training for these responders, emphasizing the need for preparedness in disaster relief teams.
- ItemTesting the Forecasting Power of Statistical Models for Intercity Rail Passenger Flows in Turkey(Sage, 2024-11) Ekici, Üsame; Tüydeş Yaman, Hediye; Şendil, NuriWhile going through a major rail transformation, it is important to develop reliable estimation models for rail passenger flows (RPFs) in Turkey. There are two main approaches in RPF estimation, regressions and autoregressive integrated moving-average (ARIMA) models, both of which were in this study developed using the daily RPF data for the period 2011–2015. The ARIMA models (with some variations) were used to forecast first the daily flows in 2016, during which travel restrictions for summer resulted in reduced volumes, successfully captured in the updated ARIMA model. The regression models predicted the expected demand during the restrictions, enabling evaluation of the impact of restrictions, which also showed the models’ power over the longer term. The forecasts were extended to 2017, 2018, and 2019 data. The regression results produced more reliable forecasts over the long term, whereas more accurate predictions were obtained by ARIMA-Sliding (FA-Sld) for short-term planning purposes.
- ItemValue education in elementary ages(IGI Global, 2023) Sayan, Hamiyet; 140851; Demircioğlu, AytekinValue education is the teaching and learning of values as empathy, respect, responsibility, etc. in schools. It aims to feed moral development and ethical advances to array students and equip them with the skills to navigate complex social situation. As an important part of education, value education is interested in developing moral values and ethics of the students. It also helps these students develop understanding and evaluating of the importance of these values like respect, honesty, empathy, and the like. They understand how to manage and live satisfactory quality lives.
