Unmasking inborn errors of immunity: identifying the red flags of immune dysregulation by Manuela Cortesi, Laura Dotta, Marco Cattalini, Vassilios Lougaris, Annarosa Soresina, Raffaele Badolato

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Red flags to suspect inborn errors of immunity in patients with autoimmune diseases by Natalia Vélez, Juliette De Ávila, Jaime Cortés, Nelson Barrero, Leosirlay Rojas, Juan Manuel Bello, Consuelo Romero-Sánchez

“…Some autoimmune diseases, such as autoimmune cytopenias, systemic lupus erythematosus, and inflammatory bowel diseases, are increasingly recognized as phenotypes of inborn errors of immunity. The objective of this article was to identify red flags or clinical/laboratory markers to suspect inborn errors of immunity in patients with autoimmune cytopenias, systemic lupus erythematosus, and inflammatory bowel diseases through a systematic literature review. …”
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UNCOVER: 404 Error—Models Not Found for the Triply Imaged Little Red Dot A2744-QSO1 by Yilun Ma, Jenny E. Greene, David J. Setton, Marta Volonteri, Joel Leja, Bingjie Wang, Rachel Bezanson, Gabriel Brammer, Sam E. Cutler, Pratika Dayal, Pieter van Dokkum, Lukas J. Furtak, Karl Glazebrook, Andy D. Goulding, Anna de Graaff, Vasily Kokorev, Ivo Labbe, Richard Pan, Sedona H. Price, John R. Weaver, Christina C. Williams, Katherine E. Whitaker, Adi Zitrin

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Is it possible to individually identify red foxes from photographs? by Denise Güthlin, Ilse Storch, Helmut Küchenhoff

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Control bio-inspirado para un actuador elástico por medio del algoritmo de aprendizaje por retroalimentación del error by José González-Vargas, Mario Rios-Mora, Juan C. Moreno, José Luis Pons-Rovira

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Wireless Sensor Networks Focusing on Predicting Average Localization Error through Machine Learning Applications by Ioanna Gounari, Mattheos Kanzilieris

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Robotic Positioning Accuracy Enhancement via Memory Red Billed Blue Magpie Optimizer and Adaptive Momentum PSO Tuned Graph Neural Network by Jian Liu, Xiaona Huang, Yonghong Deng, Canjun Xiao, Zhibin Li

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Deep learning for vision screening in resource-limited settings: development of multi-branch CNN for refractive error detection based on smartphone image by Muhammad Syauqie, Muhammad Syauqie, Harry Patria, Sutanto Priyo Hastono, Kemal Nazaruddin Siregar, Nila Djuwita Farieda Moeloek

Subjects: “…refractive error detection…”
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Error related negativity and multi-source interference task in children with attention deficit hyperactivity disorder-combined type by Rosana Huerta-Albarrán, Adrián Poblano, Daniel Santana-Vargas, Eduardo Castro-Sierra, Reyes Haro, Saúl Garza-Morales

Subjects: “…negatividad relacionada al error…”
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Empirical Study on Myopia Identification Using CNN Hereditary Model for Resource Constrained Ophthalmology by Aqila Nazifa, Manisha Shivaram Joshi, Soumya Ramani

Subjects: “…refractive error…”
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Red flags to diagnose infiltrative cardiomyopathies by E. V. Reznik, T. L. Nguyen, D. V. Ustyuzhanin, A. N. Semyachkina, M. A. Shkolnikova

“…This article provides characteristic signs and symptoms, the so-called "red flags", making it possible to suspect infiltrative cardiomyopathies, diagnose them at an early stage and start life-saving therapy.…”
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What to do in the event of an adverse anaesthetic event or medical error by Jenny Thomas

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Forest Non-Lambertian Modeling Error Correction Based on DART by Dacheng Li, Hui Jia, Yue Lv, Kaiqi Nan, Shengzhen Zhang

“…Compared with the uncrewed aerial vehicle (UAV) surface reflectance observations, the absolute errors in the red and green wave bands are 0.0165 and 0.0063, respectively, increasing the surface reflectance accuracy by 1.97% and 1.45%, respectively. …”
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Analysis of Tear Ferning Patterns in Young Female Subjects with Refractive Errors by Mana A. Alanazi, Gamal A. El-Hiti, Alaa Al-Madani, Raied Fagehi

“…To evaluate the dry eye symptoms and ocular tear film in young female subjects with refractive errors (RE) using the ocular surface disease index (OSDI), phenol red thread (PRT) and tear ferning (TF) tests. …”
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TanSat-2: a new satellite for mapping solar-induced chlorophyll fluorescence at both red and far-red bands with high spatiotemporal resolution by D. Zhao, D. Zhao, D. Zhao, S. Du, S. Du, C. Zou, C. Zou, C. Zou, L. Tian, M. Fan, M. Fan, Y. Du, Y. Du, Y. Du, L. Liu, L. Liu, L. Liu

“…However, accurate mapping of dual-band (red and far-red) SIF with daily temporal resolution and kilometer-level spatial resolution remains a critical gap, despite its significance for various applications. …”
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Photonic Measurement of Microwave Frequency With Low-Error based on an Optomechanical Microring Resonator by Li Liu, Huaqing Qiu, Zhi Chen, Zhihua Yu

“…Moreover, the frequency resolution could be effectively improved by multiple measurement steps, so as to reduce the measurement errors. In the experiment, the microwave frequency could be measured from 8 to 18 GHz with errors lower than 0.035 GHz. …”
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Design and evaluation of clock-gating-based approximate multiplier for error-tolerant applications by Venkata Sudhakar Chowdam, Suresh Babu Potladurty, Prasad Reddy karipireddy

“…The approximation computing technique is commonly used in error-tolerant applications such as signal, image, and video processing. …”
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Interfacial Shear Properties of Red Clay and Polyurethane with Different Densities by Feng Cheng, Xinran Zhang, Qingwang Li

“…The test results show: The incorporation of polyurethane has a significant promoting effect on the interfacial shear strength, there is a linear positive correlation between the interfacial shear strength and the density of polyurethane; The shear strengths of the composites with densities of 0.2 g/cm³, 0.5 g/cm³, and 0.8 g/cm³ are 1.53 times, 1.60 times, and 2.24 times that of pure red clay respectively, the optimal polyurethane density is between 0.5 g/cm³–0.8 g/cm³; The bilinear finite element model can effectively simulate indoor shear tests, and the average error of the simulated shear strength result is within 9.4%, which provides an effective method for understanding the interfacial shear performance of the composite body.…”
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Normalized Difference Red-Edge Estimation With Modified DiscoGAN Model by Hyeon-Beom Choi, Kwon-Hee Han, Jeongwook Seo

“…However, through satellite remote sensing data containing Red, Green, Blue (RGB) and Near-Infrared (NIR) images, we can only calculate the NDVI, not the NDRE that requires the Red-Edge (RE) images. …”
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A Historical Review of the Technology Used for the Study of Freshness in Red Meats by Julieta Nava-Granados, Maria T. Orvananos-Guerrero, Claudia N. Sanchez, Julieta Dominguez-Soberanes

“…This review provides a comprehensive historical overview of the methods used to assess red meat freshness, including their advantages, limitations, and applications. …”
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