High-flow nasal cannula therapy versus continuous positive airway pressure for non-invasive respiratory support in paediatric critical care: the FIRST-ABC RCTs by Padmanabhan Ramnarayan, Alvin Richards-Belle, Karen Thomas, Laura Drikite, Zia Sadique, Silvia Moler Zapata, Robert Darnell, Carly Au, Peter J Davis, Izabella Orzechowska, Julie Lester, Kevin Morris, Millie Parke, Mark Peters, Sam Peters, Michelle Saull, Lyvonne Tume, Richard G Feltbower, Richard Grieve, Paul R Mouncey, David Harrison, Kathryn Rowan

“…To standardise treatment, clinical criteria and guidance for the initiation, maintenance and weaning of HFNC were provided in a trial algorithm. As per the algorithm, patients were assessed for response to the treatment, readiness to wean and for stopping HFNC at least twice per day. …”
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An ultrasonography of thyroid nodules dataset with pathological diagnosis annotation for deep learning by Xiaowen Hou, Menglei Hua, Wei Zhang, Jianxin Ji, Xuan Zhang, Huiru Jiang, Mengyun Li, Xiaoxiao Wu, Wenwen Zhao, Shuxin Sun, Lei Cao, Liuying Wang

“…Abstract Ultrasonography (US) of thyroid nodules is often time consuming and may be inconsistent between observers, with a low positivity rate for malignancy in biopsies. …”
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Hyperspectral and Multispectral Remote Sensing Image Fusion Based on a Retractable Spatial–Spectral Transformer Network by Yilin He, Heng Li, Miaosen Zhang, Shuangqi Liu, Chunyu Zhu, Bingxia Xin, Jun Wang, Qiong Wu

“…Fusion that aims to emphasize spatial–spectral heterogeneous characteristics may significantly enhance the robustness of joint representation for multi-source data. …”
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Practicality of training a quantum-classical machine in the noisy intermediate-scale quantum era by Tarun Dutta, Alex Jin, Clarence Liu Huihong, José Ignacio Latorre, Manas Mukherjee

“…It addresses the challenges of coupling ion-trap systems with classical processors and highlights the effectiveness of genetic algorithms for NISQ devices and complex binary classification tasks with many local minima. …”
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Autonomous novel class discovery for vision-based recognition in non-interactive environments by Xuelin Zhang, Feng Liu, Xuelian Cheng, Siyuan Yan, Zhibin Liao, Zongyuan Ge

“…Visual recognition with deep learning has recently been shown to be effective in robotic vision. However, these algorithms tend to be build under fixed and structured environment, which is rarely the case in real life. …”
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WEST GCN-LSTM: Weighted stacked spatio-temporal graph neural networks for regional traffic forecasting by Theodoros Theodoropoulos, Angelos-Christos Maroudis, Uwe Zdun, Antonios Makris, Konstantinos Tserpes

“…Furthermore, the aforementioned information is included via two novel dedicated algorithms, the Shared Borders Policy and the Adjustable Hops Policy. …”
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Neural network-based method for measuring the impacts of epileptic brain activities on cardiac cycles by Cândida H. L. Alves, Gilberto S. Alves, Gilberto S. Alves, Rômulo Kunrath, Mariélia Barbosa L. de Freitas, João Pedro G. Castor, Allan Kardec Barros, Diego Dutra Sampaio, Jonathan Araújo Queiroz

“…Although electroencephalogram (EEG) is widely used to monitor brain activity in epilepsy, limitations related to the accessibility and reproducibility of measurements may restrict its everyday use. Conversely, wearable methods, easily accessible, such as electrocardiogram (ECG), represent an alternative for indirectly monitoring brain activity through cardiac cycles. …”
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A database of upper limb surface electromyogram signals from demographically diverse individuals by Harshavardhana T. Gowda, Neha Kaul, Carlos Carrasco, Marcus Battraw, Safa Amer, Saniya Kotwal, Selena Lam, Zachary McNaughton, Ferdous Rahimi, Sana Shehabi, Jonathon Schofield, Lee M. Miller

“…The dataset also includes measures such as skin hydration and elasticity, which may affect EMG signals. This dataset provides a basis to study demographic confounds in EMG signals and serves as a benchmark to test the development of fair and unbiased algorithms that enable accurate hand gesture decoding across demographically diverse subjects. …”
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Characteristic expression profile of small nucleolar RNAs and their association with tumor immune microenvironment in papillary thyroid carcinoma by Qi-Lan Jiang, Fu-Yi Wang, Yuan Men, Yi-Huan Wu, Qin Xu, Yang Zeng, Jun Jiang

“…Abstract Certain cancers exhibit unique expression profiles of small nucleolar RNAs (snoRNAs), and the aberrant expression of snoRNAs may play significant roles in tumor biology. As the most common endocrine malignancy, the expression pattern and clinical relevance of snoRNAs in papillary thyroid carcinoma (PTC) remain largely unexplored. …”
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LED array-based multi-angle light scattering for aspirating smoke detection and classification by Soocheol Kim, Hoesung Yang, Kwangsoo Cho, Kyuwon Han, Yusun Ahn, Jin Hwa Ryu, Kangbok Lee

“…In particular, most smoke detection systems based on Mie scattering, which rely on single-scattering measurements, may not perform effectively in real-world environments where multiple scattering occurs. …”
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Texture Analysis in Volumetric Imaging for Dentomaxillofacial Radiology: Transforming Diagnostic Approaches and Future Directions by Elaine Dinardi Barioni, Sérgio Lúcio Pereira de Castro Lopes, Pedro Ribeiro Silvestre, Clarissa Lin Yasuda, Andre Luiz Ferreira Costa

“…The traditional imaging techniques rely primarily on visual assessment, which may overlook subtle variations in tissue structure. …”
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Ensemble Machine Learning Model Prediction and Metaheuristic Optimisation of Oil Spills Using Organic Absorbents: Supporting Sustainable Maritime by Le Quang Dung, Pham Duc, Bui Thi Anh Em, Nguyen Lan Huong, Nguyen Phuoc Quy Phong, Dang Thanh Nam

“…Conventional remedial oil leak techniques, such as mechanical recovery and chemical dispersants, may cause environmental damage and suffer from low effectiveness. …”
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Internet of medical things and trending converged technologies: A comprehensive review on real-time applications by Shiraz Ali Wagan, Jahwan Koo, Isma Farah Siddiqui, Muhammad Attique, Dong Ryeol Shin, Nawab Muhammad Faseeh Qureshi

“…This review study discusses how we may apply the convergence of IoMT devices with trending technologies and focuses on delivering a new dimension of novel IoMT usage through broad multi-homing dense networks. …”
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The Risk of Arrhythmias in Patients with COVID-19 by Lina Haj Ali, Loredana Suhov, Adrian Apostol, Larissa Dăniluc, Oana Sandu, Carina Bogdan, Viviana Mihaela Ivan

“…<b>Background and Objectives:</b> Cardiac arrhythmias during the SARS-CoV-2 infection may occur due to the direct impact of the virus on the respiratory and cardiovascular systems, as well as through the broader effects of systemic inflammation, or a combination of both. …”
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Insights into Nitrogen-Associated Protein 50 (NAP50) as a Tyrosyl–DNA Phosphodiesterase in Dinoflagellates by Lu Tang, Nora Fung-Yee Tam, Winnie Lam, Thomas Chun-Hung Lee, Steven Jing-Liang Xu, Fred Wang-Fat Lee

“…The three-dimensional structure and biological functions of NAP50 are predicted using deep learning algorithms. Based on evolutionary relationships and functional predictions, NAP50 may play a role in repairing plastid DNA damage and potentially contribute to the transcription of plastid genes in dinoflagellates.…”
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Desktop Software for Patch-Clamp Raw Binary Data Conversion and Preprocessing by Ning Zhang, Yutao Tian, Lei Zhang, Zhuo Yang, Tao Zhang, Jishou Ruan

“…Since raw data recorded by patch-clamp systems are always stored in binary format, electrophysiologists may experience difficulties with patch clamp data preprocessing especially when they want to analyze by custom-designed algorithms. …”
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Statistical Learning for Semantic Parsing: A Survey by Qile Zhu, Xiyao Ma, Xiaolin Li

“…Understanding natural language may be referred as the system must produce a correct response to the received input order. …”
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Identification of Scientific Texts Generated by Large Language Models Using Machine Learning by David Soto-Osorio, Grigori Sidorov, Liliana Chanona-Hernández, Blanca Cecilia López-Ramírez

“…To do so, we will use natural language processing (NLP) and machine-learning algorithms to recognize texts that mask LLM misuse using different types of adversarial attack, like paraphrasing or translation from one language to another. …”
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Early arteriovenous malformation mimicking pediatric capillary malformation: diagnostic value of infrared thermography by Hao Gu, Xiaojie Yue, Xiong Zhao, Qiang Shu

“…Integrating IRT into initial diagnostic algorithms may enhance the accuracy of differential diagnosis for vascular malformations, particularly early-stage AVMs.…”
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Magnetic Cell-Mimetic Droplet Microrobots with Division and Exocytosis Capabilities by Shimin Yu, Weiwei Zhang, Yongzhi Feng, Xiang Zhang, Chuanhua Li, Shengjun Shi, Haocheng Wang, Tianlong Li

“…This cell-mimetic microrobots may provide a fundamental understanding of cellular life and pave the way for the construction of artificial living systems. …”
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