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  1. 19081

    School-based screening for childhood anxiety problems and intervention delivery: a codesign approach by Tamsin Ford, Alastair Gray, Cathy Creswell, Victoria Williamson, Obioha Ukoumunne, Falko Sniehotta, Mara Violato, Ian McDonald, Paul Brown, Paul Stallard, Michael Larkin, Tessa Reardon, Samantha Pearcey, Claire Hill, Susan H Spence, Maria Breen, Jason Stainer, Michelle Sancho, Roberta Button, Iheoma Green, Fran Morgan, Bec Jasper

    Published 2022-06-01
    “…This article is a process-based account of how we used codesign to develop a primary school-based screening and intervention programme for child anxiety problems.Design Codesign.Setting UK primary schools.Participants Data were collected from year 4 children (aged 8–9 years), parents, school staff and mental health practitioners.Results We report how the developed programme was experienced and perceived by a range of users, including parents, children, school staff and mental health practitioners, as well as how the programme was adapted following user feedback.Conclusions We reflect on the mitigation techniques we employed, the lessons learnt from the codesign process and give recommendations that may inform the development and implementation of future school-based screening and intervention programmes.…”
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  2. 19082

    Working Load Characteristics of the PDC-Cone Composite Bit under Impact and Scraping by Kuilin Huang, Chunxiao Zhou, Yingxin Yang, Haitao Ren, Qingzhi Niu

    Published 2020-01-01
    “…This paper provides technical support for the performance analysis, formation adaptability evaluation, and cutting structure design optimization of the PDC-cone bit.…”
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  3. 19083

    GCL_FCS30: a global coastline dataset with 30-m resolution and a fine classification system from 2010 to 2020 by Jian Zuo, Li Zhang, Jingfeng Xiao, Bowei Chen, Bo Zhang, Yingwen Hu, M. M. Abdullah Al Mamun, Yang Wang, Kaixin Li

    Published 2025-01-01
    “…The coastline extraction employed a combined algorithm incorporating the Modified Normalized Difference Water Index and an adaptive threshold segmentation method. The coastline classification was performed a hybrid transect classifier that integrates a random forest algorithm with stable training samples derived from multi-source geophysical data. …”
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  4. 19084

    BERTRAND RUSSELL VE NURETTİN TOPÇU'DA AHLAKIN ONTOLOJİK KAYNAĞI VE EPİSTEMOLOJİK DEĞERİ BAKIMINDAN DİN- AHLAK İLİŞKİSİ by Tuncay Akgün

    Published 2016-12-01
    “…Ahlaki değerlerin ontolojik kaynağının ne olduğu ve epistemolojik değeri ve dolayısıyla bağlayıcılığı sorunu ahlak felsefesini en temel sorunlarından biridir.Bu konuya ilişkin olarak felsefe tarihinde çok farklı görüşler dile getirilmiştir. Bu makalenin amacı, Betrant Russell ve Nurettin Topçu felsefesinde ahlak ve din ilişkisini ahlakın kaynağı ve epistemik değeri açısından tahlil etmektir. …”
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  5. 19085

    Kurumsal Sosyal Sorumlulukta Yeni Yaklaşımlar ve Tartışılan Konular by Tuğçe Gürel

    Published 2013-11-01
    “…Bu inançtan hareketle çalışmanın amacı; dünyadaki kurumsal sosyal sorumluluk anlayışına yönelik, ilgili kişi ve kurumların farkındalığını artırmaya odaklanarak “kurumsal sosyal sorumlulukta yeni yaklaşımlar ve tartışılan konular”ın ortaya konması olarak belirlenmiştir. …”
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  6. 19086

    KAMU ÇALIŞANLARINDA ALGILANAN ÖRGÜTSEL DESTEĞİN İŞ PERFORMANSINA ETKİSİNDE ÖRGÜTSEL SİNİZMİN ARACILIK ROLÜ by Emine Genç

    Published 2018-11-01
    “…Çalışmanıntemel amacı algılanan örgütsel destek algısının iş performansına etkisindeörgütsel sinizmin aracılık rolünü incelemektir. …”
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  7. 19087

    Evaluation of the Oxidative Effect of Long-Term Repetitive Hyperbaric Oxygen Exposures on Different Brain Regions of Rats by Kemal Simsek, Mehmet Ozler, Ali Osman Yildirim, Serdar Sadir, Seref Demirbas, Muzaffer Oztosun, Ahmet Korkmaz, Hakan Ay, Sukru Oter, Senol Yildiz

    Published 2012-01-01
    “…These comparable results provide evidence for the safety of HBO treatments and/or successful adaptive mechanisms at least in the brain tissue of rats, even when administered for longer periods.…”
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  8. 19088

    Predicting emergency department admissions using a machine-learning algorithm: a proof of concept with retrospective study by Cyrielle Brossard, Christophe Goetz, Pierre Catoire, Lauriane Cipolat, Christophe Guyeux, Cédric Gil Jardine, Mahuna Akplogan, Laure Abensur Vuillaume

    Published 2025-01-01
    “…Through the development of two models (one for each location), we found that the XGBoost method with hyperparameter adaptations was the best, suggesting that the studied data could be predicted (mean absolute error) at 2.63 for Hospital 1 and 2.64 for Hospital 2). …”
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  9. 19089

    The effect of six days open water swimming activity on salivary, oxidative stress and cortisol levels on elite master swimmers by Nihal Sekhar Oktay, Kubilay Cimen, Beste Tacal Aslan, Sukriye Caliskan, Cengiz Karagozoglu, Korkut Ulucan

    Published 2023-12-01
    “…Swimming in open water can cause stress on the organism, leading to metabolic adaptations for prevention. …”
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  10. 19090

    Downstream Effects of a Hydroelectric Reservoir on Aquatic Plant Assemblages by Ivan Bernez, Jacques Haury, Maria Teresa Ferreira

    Published 2002-01-01
    “…Some floral patterns, seen during both periods and at an interval of 133 years, were indicative of the ubiquity of the aquatic flora and of the plants’ adaptability. This demonstrates the importance of taking river basin history into account in such biological surveys.…”
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  11. 19091

    NİETZSCHE’DE ESTETİK KURTULUŞ by Nil Avcı

    Published 2021-07-01
    “…Bu amaç doğrultusunda eserin estetik kurtuluşkavramı üzerinden bir okuması sunulacaktır. …”
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  12. 19092

    The built environment and place attachment: Insights from Japanese cities by Jiuling Li, Mohammad Javad Koohsari, Andrew T. Kaczynski, Ryo Tanimoto, Reo Watanabe, Tomoki Nakaya, Yufeng Luo, Jing Zhao, Akitomo Yasunaga, Koichiro Oka, Tomoya Hanibuchi

    Published 2025-02-01
    “…Geographic address information was used to measure objective walkability, while perceived walkability and place attachment were assessed using adapted scales. Ordinary least squares regression models were employed to analyse associations. …”
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  13. 19093

    Bifunctional Tailoring of Platinum Surfaces with Earth Abundant Iron Oxide Nanowires for Boosted Formic Acid Electro-Oxidation by Bilquis Ali Al-Qodami, Heba H. Farrag, Sayed Youssef Sayed, Nageh K. Allam, Bahgat E. El-Anadouli, Ahmad M. Mohammad

    Published 2018-01-01
    “…The deposition of FeOx proceeded electrochemically with a post‐activating step that identified the catalyst’s structure and performance. With a proper adaptation for the deposition and activation processes, the FeOx/Pt nanocatalyst succeeded to mitigate the typical CO poisoning that represents the principal element deteriorating the catalytic performance of the direct formic acid fuel cells. …”
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  14. 19094

    Variable Torque Control of Offshore Wind Turbine on Spar Floating Platform Using Advanced RBF Neural Network by Lei Wang, Shan Zuo, Y. D. Song, Zheng Zhou

    Published 2014-01-01
    “…The robust RBF neural network weight adaptive rules are acquired based on the Lyapunov stability analysis. …”
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  15. 19095

    Spatiotemporal analysis of drought patterns and trends across Africa: a multi-scale SPEI approach (1960–2018) by Akinwale T. Ogunrinde, Paul Adigun, Xian Xue, Dairaku Koji, Qiqi Jing

    Published 2025-12-01
    “…These findings underscore the complex nature of African drought patterns, emphasizing the critical need for region-specific, adaptive climate strategies to address unique ecological challenges.…”
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  16. 19096

    Engagement of the Mannose Receptor by Tumoral Mucins Activates an Immune Suppressive Phenotype in Human Tumor-Associated Macrophages by P. Allavena, M. Chieppa, G. Bianchi, G. Solinas, M. Fabbri, G. Laskarin, A. Mantovani

    Published 2010-01-01
    “…Tumor-Associated Macrophages (TAMs) are abundantly present in the stroma of solid tumors and modulate several important biological processes, such as neoangiogenesis, cancer cell proliferation and invasion, and suppression of adaptive immune responses. Myeloid C-type lectin receptors (CLRs) constitute a large family of transmembrane carbohydrate-binding receptors that recognize pathogens as well as endogenous glycoproteins. …”
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  17. 19097

    Multifunctional Reconfigurable Millimeter-Wave Array Antenna by Rawad W. Asfour, Salam K. Khamas, Edward A. Ball

    Published 2025-01-01
    “…Furthermore, the system achieves a reconfigurable frequency interface between circular and linear polarizations, enhancing its adaptability to diverse communication scenarios. Through comprehensive analysis, the proposed MRAA exhibits commendable array gain, surpassing 10 dBic, and very good radiation efficiency exceeding 74%. …”
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  18. 19098

    Progress in the role of nanoparticles in the diagnosis and treatment of bone and joint tuberculosis by Yitong Ding, Baiyun Li, Yangfei Yi, Can Liu, Jie Wen, Jie Wen, Xiaohong Jian, Yufei Li

    Published 2025-01-01
    “…These technologies are adaptable to resource-limited settings, enabling earlier patient intervention and mitigating disease progression risk. …”
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  19. 19099

    Optimizing Acidic Reductive Leaching for Lithium Recovery: Enhancing Sustainable Lithium Supply for Energy Markets by Agnieszka Sobianowska-Turek, Amelia Zielińska, Weronika Urbańska, Anna Mielniczek, Agnieszka Fornalczyk, Szymon Pawlak, Tomasz Małysa, Janusz Cebulski

    Published 2025-01-01
    “…This article presents acidic reductive leaching as a promising alternative for lithium extraction from secondary sources and unconventional ores, emphasizing its potential benefits, such as higher recovery rates, faster processing, and adaptability to various waste materials. Notably, this method facilitates the selective recovery of lithium before cobalt and nickel, providing a strategic advantage. …”
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  20. 19100

    Advanced Deep Learning Algorithms for Energy Optimization of Smart Cities by Izabela Rojek, Dariusz Mikołajewski, Krzysztof Galas, Adrianna Piszcz

    Published 2025-01-01
    “…Reinforcement learning models optimize power distribution by learning from historical patterns and adapting to changes in energy usage in real time. Convolutional neural networks (CNNs) and recurrent neural networks (RNNs) facilitate detailed analysis of spatial and temporal data to better predict energy usage. …”
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