Successful extraction of a large airway foreign body using flexible bronchoscopy and electrocautery snare in a post-COVID-19 patient with difficult airway anatomy: a case report by Yugang Lu, Jiawei Dong, Ye Gu

“…The condition was further complicated by post-COVID-19 respiratory symptoms and challenging airway anatomy, including a short thyromental distance and Mallampati Class IV classification. The patient complained of persistent chest tightness, shortness of breath, and recurrent respiratory issues that persisted after recovering from COVID-19. …”
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Identifying the Peak Flowering Dates of Winter Rapeseed with a NBYVI Index Using Sentinel-1/2 by Fazhe Wu, Peng Lu, Shengbo Chen, Yucheng Xu, Zibo Wang, Rui Dai, Shuya Zhang

“…Currently, the Normalized Difference Yellow Index (NDYI), widely used for monitoring these dates, faces stability and accuracy issues due to atmospheric interference and limited optical data during the flowering period. …”
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Defect Identification and Diagnosis for Distribution Network Electrical Equipment Based on Fused Image and Voiceprint Joint Perception by An Chen, Junle Liu, Silin Liu, Jinchao Fan, Bin Liao

“…Baseline 1 is a long short term memory (LSTM)-based algorithm that performs separate feature extraction and processing for image and voiceprint signals without coupling the features of the two modalities, and Baseline 2 is a traditional CNN algorithm that uses classical convolutional layers for feature learning and classification through pooling and fully connected layers. …”
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Non-Contact Fall Detection System Using 4D Imaging Radar for Elderly Safety Based on a CNN Model by Sejong Ahn, Museong Choi, Jongjin Lee, Jinseok Kim, Sungtaek Chung

“…The model achieved 98.66% accuracy in posture classification and 95% in fall detection. This study demonstrates the effectiveness of the proposed fall detection approach and suggests future directions in multi-sensor integration for indoor applications.…”
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Experience of the psychiatric and psychotherapy services of an infectious hospital in the context of the COVID-19 pandemic by G. A. Prokopovich, T. V. Vladykina, M. S. Sivashova, O. N. Zueva

“…The work used clinical and psychological methods using the international classification of diseases 10 revision (ICD-10), the diagnosis of a new coronavirus infection (COVID — 19) was carried out in accordance with the Temporary guidelines of the Ministry of health of the Russian Federation. …”
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A Systematic Review of Family and Media Research (With Emphasis on Virtual Social Networks, Cinema, and Television( by Seyed javad Hosseini, hassan bashir, mozhgan oroji

“…This research aims to categorize issues and offer suggestions for addressing gaps in research or media policy-making. …”
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Assessing the allergenic potential of urban green spaces using orthoimagery and airborne LiDAR data by Jinzhou Wu, Robbe Neyns, Markus Münzinger, Frank Canters

“…Over the past decades, pollen allergy has become one of the most widespread public health issues. The number of individuals having allergies to pollen has dramatically increased, especially in urban and industrial areas. …”
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A multi-rule index to extract brine shrimp from satellite imagery: a case study in Ebinur Lake, China by Jingchen He, Zhenyu Tan, Junli Li, Bo Jiang, Hongtao Duan

“…We evaluated and validated this method using Landsat 8 and Sentinel-2 datasets, achieving a classification accuracy of 94.5% and a kappa coefficient of 0.88, surpassing existing methods. …”
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CFB：Financial Large Models Evaluation Methods by LI Yi, LI Hao, XU Xiaozhe, YANG Yifan

“…Consequently, the potential of LLMs in the financial domain has not been fully explored. To address these issues, this paper proposes the Chinese financial benchmark (CFB) for evaluating financial LLMs. …”
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Application of Textual Representation Methods for Clinical Numerical Data in Early Sepsis Diagnosis by Zhang Weimin, Zhou Luyao, Shao Min, Wang Cui, Wang Yu

“…This transformation reframes sepsis prediction into a text classification task, leveraging the rich prior semantic knowledge embedded in pre-trained language models to enhance prediction performance. …”
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Synchronization-based graph spatio-temporal attention network for seizure prediction by Jie Xiang, Yanan Li, Xubin Wu, Yanqing Dong, Xin Wen, Yan Niu

“…In the case of challenging subjects that are difficult to classify, we achieved an outstanding average classification accuracy of 97.59%, surpassing the results of previous studies.…”
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Application of machine learning-based post-processing to improve crowd-sourced urban rainfall categorizations by Mohammad Ashar Hussain, Venkatesh Budamala, Rajarshi Das Bhowmik

“…However, crowdsourcing often suffers from inaccuracies in rainfall classification due to inadequately trained participants. …”
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A Promising Methodological Approach to Identifying Areas with the Greatest Potential for the Development of the City Cycling Infrastructure by O. А. Grishina, A. I. Grishin, I. A. Stroganov

“…It is worthnoting that these sources lack any significant methodological unity, and approaches to the issues under consideration differ significantly. Among the methods used in this study, it is necessary to distinguish the methods of the theoretical group: analysis, synthesis, abstraction, generalization, application of analogies, classification, formalization. …”
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Enhancing Multispectral Breast Imaging Quality Through Frame Accumulation and Hybrid GA-CPSO Registration by Tsabeeh Salah M. Mahmoud, Adnan Munawar, Muhammad Zeeshan Nawaz, Yuanyuan Chen

“…This study explored the groundwork for precise multispectral transmission image segmentation and classification.…”
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Intelligent SDN to enhance security in IoT networks by Safi Ibrahim, Aya M. Youssef, Mahmoud Shoman, Sanaa Taha

“…The InSDN dataset faces issues related to class imbalance, which are addressed by using the Synthetic Minority Over-sampling Technique (SMOTE). …”
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Brain computer interface based emotion recognition with error analysis and challenges: an interdisciplinary review by Niharika Gudikandula, Ravichander Janapati, Rakesh Sengupta, Sridhar Chintala

“…We analyze how various factors, such as brain signal variability, EEG noise and artifacts, individual differences in emotional responses, feature extraction methods, and classification algorithms, can introduce errors into the system. …”
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The deleterious effect of WHO grade II diffuse glioma on socioeconomic status as evaluated through occupation by Matthew A. Kirkman, Michael S. C. Thomas, Andrew Tolmie

“…Early tailored and proactive professional support regarding work-related issues is required for this patient group.…”
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Large language models to process, analyze, and synthesize biomedical texts: a scoping review by Simona Emilova Doneva, Sijing Qin, Beate Sick, Tilia Ellendorff, Jean-Philippe Goldman, Gerold Schneider, Benjamin Victor Ineichen

“…Prominent among these tasks are text classification, relation extraction, and named entity recognition. …”
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ABDOMINAL AORTIC ANEURISM REPAIR IN PATIENTS WITH FUSED KIDNEY by A. E. Zotikov, V. N. Gontarenko, A. S. Ivandayev, V. N. Tsygankov, A. S. Kutovaya

“…The article highlights the historical aspects of the study of this group of patients, presents the classification, the features of surgical access, the advantages and disadvantages of each of them, the experience presented in the world literature, as well as the authors’ own experience in carrying out such operations for 30 years in the walls of the A.V. …”
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DAM-Faster RCNN: few-shot defect detection method for wood based on dual attention mechanism by Xingyu Tong, Zhihong Liang, Mingming Qin, Fangrong Liu, Jiayu Yang, Hengjiang Xiao, Wei Dai

“…To address the above issues, this paper proposes an improved Faster RCNN model based on a dual attention mechanism (DAM). …”
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