Correction: Yu et al. Nitrogen Doped Porous Biochar/β-CD-MOFs Heterostructures: Bi-Functional Material for Highly Sensitive Electrochemical Detection and Removal of Acetaminophen.... by Qi Yu, Jin Zou, Chenxiao Yu, Guanwei Peng, Guorong Fan, Linyu Wang, Shangxing Chen, Limin Lu, Zongde Wang

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Deep convolutional neural network architecture for facial emotion recognition by Dayananda Pruthviraja, Ujjwal Mohan Kumar, Sunil Parameswaran, Vemulapalli Guna Chowdary, Varun Bharadwaj

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“She’ll Never Be a Man” A Corpus-Based Forensic Linguistic Analysis of Misgendering Discrimination on X by Lucia Sevilla Requena

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Efficient Brain Tumor Segmentation for MRI Images Using YOLO-BT by Mengying Xiong, Aiping Wu, Yue Yang, Qingqing Fu

“…It can be seen that the YOLO-BT algorithm is suitable for brain tumor detection and segmentation.…”
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A statistical method for high-throughput emergence rate calculation for soybean breeding plots based on field phenotypic characteristics by Yan Sun, Mengqi Li, Meiling Liu, Jingyi Zhang, Yingli Cao, Xue Ao

“…Secondly, the deep learning object detection model was used to infer and predict the processed images to label soybean seedlings. …”
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Evaluation of the diagnostic concordance of FDA-approved PD-L1 assays in clear cell renal cell carcinoma by Yoko Koh, Taigo Kato, Gaku Yamamichi, Eisuke Tomiyama, Makoto Matsushita, Koji Hatano, Atsunari Kawashima, Norio Nonomura, Motohide Uemura

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MENTAL STATUS OF THE CHERNOBYL ACCIDENT LIQUIDATORS by V. P. Vishnevskaya

“…Presumably it may be connected both directly with radiation exposure and high stress and anxiety level of liquidators. Early detection of changes in mental status and individual approach to the therapy program development, psychological correction and rehabilitation of liquidators has particular significance.…”
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Automatic Monitoring of Rock‐Slope Failures Using Distributed Acoustic Sensing and Semi‐Supervised Learning by Jiahui Kang, Fabian Walter, Patrick Paitz, Johannes Aichele, Pascal Edme, Lorenz Meier, Andreas Fichtner

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Utilizing Nanopore direct RNA sequencing of blood from patients with sepsis for discovery of co- and post-transcriptional disease biomarkers by Jingni He, Devika Ganesamoorthy, Jessie J.-Y. Chang, Jianshu Zhang, Sharon L. Trevor, Kristen S. Gibbons, Stephen J. McPherson, Jessica C. Kling, Luregn J. Schlapbach, Antje Blumenthal, Lachlan J. M. Coin, RAPIDS Study Group

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Quantitative Analysis of 3-Monochloropropane-1,2-diol in Fried Oil Using Convolutional Neural Networks Optimizing with a Stepwise Hybrid Preprocessing Strategy Based on Fourier Tra... by Xi Wang, Siyi Wang, Shibing Zhang, Jiping Yin, Qi Zhao

“…As one kind of ‘probable human carcinogen’ (Group 2B) compound classified by the International Agency for Research on Cancer, 3-MCPD is mainly formed during the thermal processing of food. Tedious pretreatment techniques are needed for the existing analytical methods to quantify 3-MCPD. …”
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HyperspectralViTs: General Hyperspectral Models for On-Board Remote Sensing by Vit Ruzicka, Andrew Markham

“…We evaluate our models on two tasks related to hyperspectral data processing—methane detection and mineral identification. …”
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The participation in cervical cancer screening is not altered by the Hawthorne effect among patients of doctors participating in the randomized clinical trial PaCUDAHL by Gabrielle Lisembard, Michaël Rochoy, François Quersin, Valérie Deken, Alain Duhamel, Axel Descamps, Christophe Berkhout, Fanny Serman

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AUTOMATIC SEGMENTATION OF TREE CROWNS IN PINE FORESTS USING MASK R-CNN ON RGB IMAGERY FROM UAVS by А. D. Nikitina

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Adaptive multi classifier traffic data interpolation model based on information entropy by Yunkai ZHANG, Jin GAO, Qing LI, Xu WANG

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An Automatic Method for Powerline Extraction From ALS Point Cloud of Powerline Corridors by Di Cao, Cheng Wang, Haibo Liu, Su Zhang, Meng Du, Pu Wang, Sheng Nie, Sijin Cheng

“…The proposed approach begins with grid-based pylon location detection and span-based organization of massive powerline corridor data, enabling efficient data processing. …”
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MRI based volumetric lung nodule assessment - a comparison to computed tomography by Tatjana Dell, Andreas Feisst, Olga Ramig, Yannik Layer, Narine Mesropyan, Alexander Isaak, Claus Pieper, Patrick Kupczyk, Julian Luetkens, Daniel Thomas, Daniel Kuetting

“…The study aimed to assess the feasibility and accuracy of in-vivo magnetic resonance imaging (MRI)-based volumetric assessment of lung nodules larger than 6 mm, in comparison to the current gold standard, CT.Materials and methodsThis study involved a subgroup analysis of 233 participants from a prospective, single-center lung cancer screening program using CT and MRI. Patients were included if foci ≥6 mm were detected in CT during the initial screening round, resulting in 23 participants with 47 pulmonary nodules. …”
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Breast Cancer Image Classification Using Phase Features and Deep Ensemble Models by Edgar Omar Molina Molina, Victor H. Diaz-Ramirez

“…Breast cancer is a leading cause of mortality among women worldwide. Early detection is crucial for increasing patient survival rates. …”
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Multitemporal Monitoring for Cliff Failure Potential Using Close-Range Remote Sensing Techniques at Navagio Beach, Greece by Aliki Konsolaki, Efstratios Karantanellis, Emmanuel Vassilakis, Evelina Kotsi, Efthymios Lekkas

“…For the change detection analysis, UAS surveys were utilized, employing the multiscale model-to-model cloud comparison (M3C2) algorithm, while TLS data were used in a validation methodology due to their very high-resolution model. …”
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Unique Method for Prognosis of Risk of Depressive Episodes Using Novel Measures to Model Uncertainty Under Data Privacy by Barbara Pękala, Dawid Kosior, Wojciech Rząsa, Katarzyna Garwol, Janusz Czuma

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Intelligent Classification Method for Rail Defects in Magnetic Flux Leakage Testing Based on Feature Selection and Parameter Optimization by Kailun Ji, Ping Wang, Yinliang Jia

“…This study addresses the critical challenge of insufficient classification accuracy for different defect signals in rail magnetic flux leakage (MFL) detection by proposing an enhanced intelligent classification framework based on particle swarm optimized radial basis function neural network (PSO-RBF). …”
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