Handling of missing component information for common composite score outcomes used in axial spondyloarthritis research when complete-case analysis is unbiased by Christos Polysopoulos, Stylianos Georgiadis, Lykke Midtbøll Ørnbjerg, Almut Scherer, Daniela Di Giuseppe, Merete Lund Hetland, Michael John Nissen, Gareth T. Jones, Bente Glintborg, Anne Gitte Loft, Johan Karlsson Wallman, Karel Pavelka, Jakub Závada, Ayten Yazici, Maria José Santos, Adrian Ciurea, Burkhard Möller, Brigitte Michelsen, Pawel Mielnik, Johanna Huhtakangas, Heikki Relas, Katja Perdan Pirkmajer, Ziga Rotar, Ross MacDonald, Bjorn Gudbjornsson, Irene van der Horst-Bruinsma, Marleen van de Sande, Myriam Riek

“…Conclusions MI of missing component values was the only method found successful in retaining CC’s unbiasedness and in providing increased precision for estimating the means of BASDAI, BASFI, and ASDAS-CRP. …”
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A vegetation phenology dataset developed by integrating multiple sources using the reliability ensemble averaging method by Y. Cui, S. Chen, Y. Gong, M. Li, Z. Jia, Y. Zhou, Y. Zhou, Y. H. Fu, Y. H. Fu, Y. H. Fu

“…Using the new dataset, we found that the SOS is occurring approximately 0.19 d earlier per year (<span class="inline-formula"><i>p</i>&lt;0.01</span>), while the end of the growing season is occurring 0.18 d later per year (<span class="inline-formula"><i>p</i>&lt;0.01</span>) over the period 1982–2020 across regions north of 30° N. …”
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Systematic bias between blinded independent central review and local assessment: literature review and analyses of 76 phase III randomised controlled trials in 45 688 patients with... by Jianrong Zhang, Yu Huang, Hengrui Liang, Wenhua Liang, Jianxing He, Yiyin Zhang, Jiaxi He, Jieyu Wu, Long Jiang, Shiyan Tang, Qihua He, Lindsey Tristine Hamblin, Zhiheng Xu, Yaoqi Chen, Difei Chen, Xinyu Wang, Kexin Deng, Shuhan Jiang, Jiaqing Zhou, Jiaxuan Xu, Xuanzuo Chen

“…Correlation analysis also presented no sign of systematic bias between central and local assessments (ORR, DCR, PFS: r&gt;0.90, p&lt;0.01; TTP: r=0.90, p=0.29).Conclusions No systematic bias could be found between local and central assessments in phase III RCTs on solid tumours. …”
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Regulatory T Cell Responses in Participants with Type 1 Diabetes after a Single Dose of Interleukin-2: A Non-Randomised, Open Label, Adaptive Dose-Finding Trial. by John A Todd, Marina Evangelou, Antony J Cutler, Marcin L Pekalski, Neil M Walker, Helen E Stevens, Linsey Porter, Deborah J Smyth, Daniel B Rainbow, Ricardo C Ferreira, Laura Esposito, Kara M D Hunter, Kevin Loudon, Kathryn Irons, Jennie H Yang, Charles J M Bell, Helen Schuilenburg, James Heywood, Ben Challis, Sankalpa Neupane, Pamela Clarke, Gillian Coleman, Sarah Dawson, Donna Goymer, Katerina Anselmiova, Jane Kennet, Judy Brown, Sarah L Caddy, Jia Lu, Jane Greatorex, Ian Goodfellow, Chris Wallace, Tim I Tree, Mark Evans, Adrian P Mander, Simon Bond, Linda S Wicker, Frank Waldron-Lynch

“…Primary analysis of the evaluable population (n = 39) found that the optimal doses of aldesleukin to induce 10% and 20% increases in Tregs were 0.101 × 106 IU/m2 (standard error [SE] = 0.078, 95% CI = -0.052, 0.254) and 0.497 × 106 IU/m2 (SE = 0.092, 95% CI = 0.316, 0.678), respectively. …”
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Integrating point sources to map anthropogenic atmospheric mercury emissions in China, 1978–2021 by Y. Cui, Y. Cui, Q. Wu, Q. Wu, S. Wang, S. Wang, K. Liu, S. Li, S. Li, Z. Shi, Z. Shi, D. Ouyang, D. Ouyang, Z. Li, Q. Chen, Q. Chen, C. Lü, C. Lü, F. Xie, F. Xie, Y. Tang, Y. Wang, J. Hao, J. Hao

“…By integrating point sources, P-CAME improves the accuracy of gridded emissions, reducing the normalized mean error by 108 % compared to an inventory without point sources for the most recent year of 2021. …”
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Interpretable Machine Learning for Legume Yield Prediction Using Satellite Remote Sensing Data by Theodoros Petropoulos, Lefteris Benos, Remigio Berruto, Gabriele Miserendino, Vasso Marinoudi, Patrizia Busato, Chrysostomos Zisis, Dionysis Bochtis

“…The Enhanced Vegetation Index (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>E</mi><mi>V</mi><mi>I</mi></mrow></semantics></math></inline-formula>) and Normalized Difference Vegetation Index (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>N</mi><mi>D</mi><mi>V</mi><mi>I</mi></mrow></semantics></math></inline-formula>) were found to be key predictors of crop yield, both showing a positive correlation with higher values reflecting greater vegetation vigor and corresponding to increased yield. …”
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Kesalahan Penulisan Kata-Kata Momentum dalam Bahasa Indonesia: Studi Berbasis Korpus by Icuk Prayogi, Ikmi Nur Oktavianti

“…Errors were also found in the use of the preposition di replacing pada for indicating time and the use of jam instead of pukul. …”
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Effect of Work Stress on Library Professionals’ Performance and Health by Salman Abid, Farhat Hussain, Aamir Hamid, Naveed e Sehar

“…So the study found that work-related stress has effects on work performance and library professionals’ psychological and physical health.…”
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Adaptive Peak Tracking as Explanation of Sparse Fossil Data Across Fluctuating Ancient Environments by Rolf Ergon

“…From as few as nine samples of mean phenotypic values found in the fossil record it was possible to identify a linear mean phenotype versus environment function by means of the weighted lest squares (WLS) method, and to predict the continuous mean phenotypic values as functions of time with prediction errors within or just outside the standard errors of the observations. …”
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Contesting the Registration of Real Estate Rights in BRICS and the Laws of Other Countries by T. Podshivalov

“…In doctrinal sources, a claim for the recognition of property rights constitutes a special protection method that is not commonly found in the legislation of every country and is not widespread like vindication and negatory actions. …”
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From Tables to Computer Vision: Transforming HPDC Process Data into Images for CNN-Based Deep Learning by A. Burzyńska

“…The study utilized a substantial dataset with a total of 61,584 images, and the most effective model attained an impressive Root Mean Square Error (RMSE) of 0.81, underscoring the model's remarkable capacity to accurately detect and predict casting quality issues. …”
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New Methodology for Non-destructive Identification of Body Fluid for Forensic Purposes by Eugenio, Francesco Mercante, Teresa Di Sarno Giusto

“…Specifically, a new methodology for non-destructive forensic histological analysis using Alternative Light Source 450 nm + orange filters was developed and validated - also testing its analytical efficiency and inherent degree of probabilistic error. The validation process has been carried out through the creation of a standard database of known samples, in which were included blood-stains, semen stains, saliva stains and urine stains. …”
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A Dockerized Approach to Dynamic Endpoint Management for RESTful Application Programming Interfaces in Internet of Things Ecosystems by Ebenhezer Mabotha, Nkateko E. Mabunda, Ahmed Ali

“…While containerization and dynamic API frameworks are seen as solutions, current methodologies are founded primarily on static API architectures that cannot be adapted in real time with evolving data structures and communication needs. …”
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SURVIVAL OUTCOMES OF AUTOLOGOUS STEM CELL TRANSPLANTATION IN LYMPHOMA PATIENTS by Elif Yıldız, Güven Çetin, Özge Pasin

“…A significant age difference was found between HL and other groups and between DLBCL and MCL patients (p < 0.05). 2-year PFS was %72.4 [Standart Error (SE)=%5.3] and OS was %77.6 (SE=%4.8) The estimated mean PFS for the six groups analyzed was 72.45±6.73(SE) months (95% CI 59.25%-85.65%) and the mean OS was 114.03±7.91 (SE) months (95% CI 98.51%-129.55%)(Table 2). …”
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Method for estimating objective function landscape convexity during extremum search by Alexande V. Smirnov

“…The estimation of this index is carried out for pairs of test points taking into account their distances to the found extremum and OF values in them. Based on the analysis of estimation errors, the method includes the selection of test points by their distances from the found extremum and the selection of pairs of test points by the angle between the directions to them from the found extremum. …”
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Variasi Bahasa, Singkatan, dan Kesalahan Ejaan Pada Fitur Market Place di Facebook by Hanifah Monika Sulistyowati, Andi Haris Prabawa, Yakub Nasucha, Laili i Etika Rahmawat

“…The purposes of this study were to answer the following questions: (1) What are the forms of language variations found on the market place feature on Facebook? (2) What are the forms of word abbreviations found on the market place features on Facebook? …”
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Explaining and Analyzing the Effect of Brand Value Components on Medical Tourism Development: A Case Study of Ahvaz Metropolis by Majid Goodarzi

“…To assess the model's fit, we employed various indices, including chi-square per degree of freedom (CMIN/DF), Root Mean Square Error (RMSEA), Standardized Root Mean Square Residual (SRMR), and Comparative Fit Index (CFI) as outlined by Gaskin and Lim (2016). …”
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Healthcare Staff Wellbeing, Burnout, and Patient Safety: A Systematic Review. by Louise H Hall, Judith Johnson, Ian Watt, Anastasia Tsipa, Daryl B O'Connor

“…Twenty-one out of the 30 studies that measured burnout found a significant association between burnout and patient safety, whilst a further four studies found an association between one or more (but not all) subscales of the burnout measures employed, and patient safety.…”
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Comparative Analyses Concerning Triaxial Compressive Yield Criteria of Coal with the Presence of Pore Water by Rulin Liu, Yanbin Yu, Weimin Cheng, Qingfeng Xu, Haotian Yang, Jialong Shen

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HDO Ice Detected toward an Isolated Low-mass Protostar with JWST by Katerina Slavicinska, Łukasz Tychoniec, María Gabriela Navarro, Ewine F. van Dishoeck, John J. Tobin, Martijn L. van Gelder, Yuan Chen, A. C. Adwin Boogert, W. Blake Drechsler, Henrik Beuther, Alessio Caratti o Garatti, S. Thomas Megeath, Pamela Klaassen, Leslie W. Looney, Patrick J. Kavanagh, Nashanty G. C. Brunken, Patrick Sheehan, William J. Fischer

“…We measure an ice HDO/H _2 O ratio of 4.4 ${}_{\mathrm{-1.7}}^{\mathrm{+3.7}}$ × 10 ^−3 , where the reported error is dominated by uncertainties in continuum definition and ice band strengths. …”
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