A Methodical Review of Iridology-Based Computer-Aided Organ Status Assessment Techniques by Suja Alphonse, Ramachandran Venkatesan, Theena Jemima Jebaseeli

“…Recognizing the limitations of iridology allows healthcare providers to avoid errors in diagnosis and prevent individuals from undergoing redundant procedures or therapies based solely on iridology assessments.…”
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EXPERIMENTAL RESULTS OF SOFTWARE ALGORITHMIC SYNCHRONIZATION OF DISTRIBUTED RADIO SYSTEM WITH MOBILE CARRIERS by I. V. Kryuchkov, M. I. Noniashvili, A. I. Skachkova, A. A. Filatov

“…The experiment showed that RMS of synchronization errors does not exceeded 12 degrees by phase (for VHF), or 0.2 ns by time. …”
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A Binary Discounting Method for Economic Evaluation of Hydrogen Projects: Applicability Study Based on Levelized Cost of Hydrogen (LCOH) by Sergey Galevskiy, Haidong Qian

“…Our approach allows the range of possible LCOH values to be determined, eliminating the methodological errors inherent in traditional formulas. A numerical analysis is performed to assess the impact of a change in the general rate of return on the final LCOH value. …”
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Crack propagation in an energy storage flywheel rotor using finite element method by Ailene B. Nuñez, Aristotle T. Ubando, Jeremias A. Gonzaga, Roy Francis R. Navea, Gil Nonato C. Santos, Wei-Hsin Chen

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How Trustworthy Are the Genomic Sequences of SARS-CoV-2 in GenBank? by Xuhua Xia

“…One may be led astray in bioinformatic analysis without being aware of errors in sequences and sequence annotation.…”
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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

“…After coding the data, analysis was performed using SPSS version 25 and AMOS version 24, both of which were part of structural equation modeling software. Research FindingsTo evaluate the model’s fit, we employed chi-square per degree of freedom (CMIN/DF), Root Mean Square Error (RMSE), Standardized Root Mean Square Residual (SRMR), and Comparative Fit Index (CFI), following the guidelines of Gaskin and Lim (2016). …”
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Semantic-aware style transfer for unsupervised aircraft pose estimation by Qifeng Luo, Danya Zhou, Zhenzhong Wei

“…Particularly, our unsupervised pose estimation method achieves a 3.39% higher proportion of predictions with errors under 10 $$^\circ $$ ∘ compared to the best supervised baseline. …”
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COBRAme: A computational framework for genome-scale models of metabolism and gene expression. by Colton J Lloyd, Ali Ebrahim, Laurence Yang, Zachary A King, Edward Catoiu, Edward J O'Brien, Joanne K Liu, Bernhard O Palsson

“…This reformulated model gives functionally identical solutions to previous E. coli ME-models while using 1/6 the number of free variables and solving in less than 10 minutes, a marked improvement over the 6 hour solve time of previous ME-model formulations. Errors in previous ME-models were also corrected leading to 52 additional genes that must be expressed in iJL1678b-ME to grow aerobically in glucose minimal in silico media. …”
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Application of educational data mining in subject learning at university by Irina A. Kotiurova

“…The texts are reviewed by experts who mark errors and assign a grade for the work. All information about mistakes is collected in a shared database, the visualization of which is accessible in the teacher's personal account. …”
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Implementing electronic data collection platform for household surveys in resource-constrained settings by Prasanna Samuel Premkumar, Santhosh Kumar Ganesan, Balaji Pandiyan, Dhivya Kumari Krishnamoorthy

“…A total of 60 households participated in field testing that showed field workers were able to complete the questionnaires in a timely manner, (mean 32 minutes (SD=18)) with minimal errors, and all field workers found the ODK form easy to use. …”
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Community participation in community-based surveillance of infectious diseases: A structural equation modeling approach based on the theory of reasoned action by Ahmed Azeez Hasan, Anis Kausar Ghazali, Norsa’adah Bachok, Najib Majdi Yacoob, Suhaily Mohd Hairon, Nur Amira M. Nadir, Fatimah Muhd Shukri

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Randomised controlled trial of standard outpatient cardiac rehabilitation versus personalised cardiac rehabilitation for secondary prevention for all in need (SPAN) after type 1 my... by David Brieger, Tom Briffa, Julie Redfern, Derek P Chew, John Atherton, Jamie Rankin, Charley Budgeon, Andrew Maiorana, Anne Cordingley, Stephen Nicholls, Graham Hillis, Teagan Robinson, Tom Gilbert, Sam Lehman

“…Assuming a power of 90% and an overall type 1 error of 5%, we expect that 50% of those randomised to usual care will meet the primary endpoint compared with 65% of those on personalised rehabilitation. …”
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Sperm cellular and nuclear dynamics associated with ram fertility by Mustafa Bodu, Mustafa Bodu, Mustafa Hitit, Mustafa Hitit, Ayse Sari, Mesut Kirbas, Bulent Bulbul, Mehmet Bozkurt Ataman, Mustafa Numan Bucak, John Parrish, Abdullah Kaya, Abdullah Kaya, Erdogan Memili

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Large Language Models Outperform Traditional Natural Language Processing Methods in Extracting Patient-Reported Outcomes in Inflammatory Bowel Disease by Perseus V. Patel, Conner Davis, Amariel Ralbovsky, Daniel Tinoco, Christopher Y.K. Williams, Shadera Slatter, Behzad Naderalvojoud, Michael J. Rosen, Tina Hernandez-Boussard, Vivek Rudrapatna

“…In addition, we conducted fairness and error assessments. Results: Interrater reliability between annotators was >90%. …”
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Single Tri-Epitopic Antibodies (TeAbs) to Botulinum Neurotoxin Serotypes B, E, and F Recapitulate the Full Potency of a Combination of Three Monoclonal Antibodies in Toxin Neutrali... by Jianlong Lou, Wei Hua Wen, Fraser Conrad, Christina C. Tam, Consuelo Garcia-Rodriguez, Shauna Farr-Jones, James D. Marks

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Improving diabetic retinopathy screening using artificial intelligence: design, evaluation and before-and-after study of a custom development by Imanol Pinto, Álvaro Olazarán, David Jurío, Borja De la Osa, Miguel Sainz, Aritz Oscoz, Jerónimo Ballaz, Javier Gorricho, Javier Gorricho, Mikel Galar, Mikel Galar, José Andonegui, José Andonegui

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Evaluation of psychosocial work environment among healthcare professionals in cardiac care units by Ralitsa Raycheva, Pavlina Pavlova, Rositsa Dimova

“…The majority of scientific researchers agree that a good psychological climate supports teamwork, good communication, and a willingness to disclose errors and adverse events. …”
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All-Fiber Multiplexing and Transmission of High-Order Circularly Polarized Orbital Angular Momentum Modes With Mode Selective Couplers by Junfeng Yang, Huanhuan Liu, Fufei Pang, Jianxiang Wen, Haoqiang Zheng, Lifei Chen, Xinyu He, Yana Shang, Na Chen, Yingchun Li, Tingyun Wang

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Blood-based epigenome-wide association study and prediction of alcohol consumption by Elena Bernabeu, Aleksandra D. Chybowska, Jacob K. Kresovich, Matthew Suderman, Daniel L. McCartney, Robert F. Hillary, Janie Corley, Maria Del C. Valdés-Hernández, Susana Muñoz Maniega, Mark E. Bastin, Joanna M. Wardlaw, Zongli Xu, Dale P. Sandler, Archie Campbell, Sarah E. Harris, Andrew M. McIntosh, Jack A. Taylor, Paul Yousefi, Simon R. Cox, Kathryn L. Evans, Matthew R. Robinson, Catalina A. Vallejos, Riccardo E. Marioni

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EU-GAN: A root inpainting network for improving 2D soil-cultivated root phenotyping by Shangyuan Xie, Jiawei Shi, Wen Li, Tao Luo, Weikun Li, Lingfeng Duan, Peng Song, Xiyan Yang, Baoqi Li, Wanneng Yang

“…Compared with other methods, our approach significantly improves the recall rate from 17.35 % to 35.75 % on the test dataset of 122 cotton root images, revealing improved inpainting capabilities. The trait error reduction rates (TERRs) for the root area, root length, convex hull area, and root depth are 76.07 %, 68.63 %, 48.64 %, and 88.28 %, respectively, enabling a substantial improvement in the accuracy of root phenotyping. …”
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