DeFiSentinel: AI-Enhanced Decentralized Finance Architecture With Advanced Cryptographic Smart Contracts for Data Integrity and Threat Resilience by Seyed Mani Rahnama

“…However, it introduces security vulnerabilities, fraud risks, and data integrity challenges that traditional financial frameworks fail to address. …”
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An Integrated Strategy for Interpretable Fault Diagnosis of UAV EHA DC Drive Circuits Under Early Fault and Imbalanced Data Conditions by Yang Li, Zhen Jia, Jie Liu, Kai Wang, Peng Zhao, Xin Liu, Zhenbao Liu

“…In the data preprocessing stage, Pearson coefficients are used for feature correlation analysis, and XGBoost performs feature screening to extract key features from the collected DC drive circuit data. …”
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A survey of social cybersecurity: Techniques for attack detection, evaluations, challenges, and future prospects by Aos Mulahuwaish, Basheer Qolomany, Kevin Gyorick, Jacques Bou Abdo, Mohammed Aledhari, Junaid Qadir, Kathleen Carley, Ala Al-Fuqaha

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PRONAME: a user-friendly pipeline to process long-read nanopore metabarcoding data by generating high-quality consensus sequences by Benjamin Dubois, Mathieu Delitte, Salomé Lengrand, Claude Bragard, Anne Legrève, Frédéric Debode

“…The user can also provide a custom database if desired, therefore enabling the analysis of metabarcoding data for any domain of life. …”
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Artificial Intelligence in the Analysis of Upper Gastrointestinal Disorders by Chang Seok Bang

“…While early studies prioritized the automatic diagnosis of cancer or pre-cancerous lesions, the current expanded scope of AI includes benign lesions, quality control, and machine learning analysis of big data. However, the limited commercialization of medical AI and the need to justify its application in each field of research are restricting factors. …”
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Real‐Time Coseismic Slip Estimation via the GNSS Carrier Phase to Fault Slip Approach: A Case Study of the 2016 Kumamoto Earthquake by Yusuke Tanaka, Yusaku Ohta, Shin'ichi Miyazaki

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Visualization OPLS class models of GC-MS-based metabolomics data for identifying agarwood essential oil extracted by hydro-distillation by Si-Zhu Qian, Yong-Mei Jiang, Qiao-Ling Yan, De-Huai Wu, Wen-Xian Zhang, Jen-Ping Chung

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~990 Ma peak granulitic metamorphism and amalgamation of Oaxaquia, Mexico: U–Pb zircon geochronological and common Pb isotopic data by Luigi A. Solari, J. Duncan Keppie, Fernando Ortega-Gutiérrez, Kenneth L. Cameron, Robert Lopez

“…Common Pb isotopes from acid-leached whole-rock samples define an errorchron that intersects the Stacey/Kramers crustal growth curve at 1,187 ± 63 Ma indicating a major crust-forming event at this time, and suggesting that the granulite facies metamorphism did not significantly reset the common Pb isotopic composition. These data are comparable with those from other ~1 Ga inliers in Mexico and is consistent with a single Oaxaquia terrane by ~1 Ga. …”
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Mathematical analysis of spectral estimation algorithms resolution by V. A. Kakora, A. V. Grinkevich

“…The classical approach to spectral analysis is effective in respect of computational and provides asymptotically reliable estimates for very extensive classing signals, satisfying the hypothesis of stationary, ergodicity and limits the large sample volume. …”
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SMS Scam Detection Application Based on Optical Character Recognition for Image Data Using Unsupervised and Deep Semi-Supervised Learning by Anjali Shinde, Essa Q. Shahra, Shadi Basurra, Faisal Saeed, Abdulrahman A. AlSewari, Waheb A. Jabbar

“…To address this, we merge a UCI spam dataset of regular text messages with real-world spam data, leveraging OCR technology for comprehensive analysis. …”
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Mimetite and polymineralic mimetite-pyromorphite-vanadinite single crystals from the Sowie Mts, Poland by Szełęg Eligiusz, Janeczek Janusz, Juroszek Rafał, Danila Marta

“…Three morphologically different mimetite crystals and a polymineralic crystal were examined by electron probe micro-analysis (EPMA), back-scattered electrons (BSE) imaging, Raman microspectroscopy, and X-ray composition mapping. …”
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The impact of diagnosis-related group-based medical insurance payment model on the prognosis and nursing care of patients undergoing composite trabeculectomy: a retrospective cohor... by Yu Wang, Yu-yun Zhang, Jie Yan, Tian-bo Ji, Luo-dan Fan, Hai-di Wang, Tong Sun, Dan He

“…This study aims to investigate the influence of the DRG-based medical insurance payment reform on the prognosis and nursing care of patients undergoing composite trabeculectomy.MethodsA retrospective cohort study was conducted on 300 patients who underwent composite trabeculectomy in a Class A tertiary hospital in Yunnan Province between January 1, 2016, and December 31, 2022. …”
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Development and evaluation of statistical and artificial intelligence approaches with microbial shotgun metagenomics data as an untargeted screening tool for use in food production by Kristen L. Beck, Niina Haiminen, Akshay Agarwal, Anna Paola Carrieri, Matthew Madgwick, Jennifer Kelly, Victor Pylro, Ban Kawas, Martin Wiedmann, Erika Ganda

“…We also show through analysis of publicly available fluid milk microbial data that our artificial intelligence approach is able to successfully predict milk in different stages of processing. …”
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PaleoSTeHM v1.0: a modern, scalable spatiotemporal hierarchical modeling framework for paleo-environmental data by Y. Lin, R. E. Kopp, R. E. Kopp, A. Reedy, A. Reedy, M. Turilli, M. Turilli, S. Jha, S. Jha, S. Jha, E. L. Ashe

“…Using various modeling and analysis choices, PaleoSTeHM demonstrates the impact of different methods on inference results and computational efficiency. …”
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Extending gene set variation analysis with a reference dataset to stabilize scores by Lorin Towle-Miller, William Jordan, Alexandre Lockhart, Johannes Freudenburg, Aman Virmani, Mandy Bergquist, Jeffrey Miecznikowski, Will Powley

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CSTFNet: A CNN and Dual Swin-Transformer Fusion Network for Remote Sensing Hyperspectral Data Fusion and Classification of Coastal Areas by Dekai Li, Harold Neira-Molina, Mengxing Huang, Syam M.S., Yu Zhang, Zhang Junfeng, Uzair Aslam Bhatti, Muhammad Asif, Nadia Sarhan, Emad Mahrous Awwad

“…In recent years, the convolutional neural network (CNN) framework and transformer models have demonstrated strong performance in HSI classification, especially in applications requiring precise change detection and analysis. However, due to the high dimensionality of HSI data and the complexity of spectral-spatial feature extraction, achieving accurate results in coastal areas remains challenging. …”
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Correlation between Interstitial Lung Disease Morphology Scores Based on High-resolution Computed Tomography Chest and Skin Fibrosis Degree Based on Modified Rodnan’s Skin Score o... by Irma Hassan Hikmat, Suci Syamsiah Ramdhini, Hari Soekersi, Sumartini Dewi

“…The subjects of this study are SSc patients who had data of MRSS and HRCT chest scan from July 2019 to March 2020. …”
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Radiomics integration based on intratumoral and peritumoral computed tomography improves the diagnostic efficiency of invasiveness in patients with pure ground-glass nodules: a mac... by Ying Zeng, Jing Chen, Shanyue Lin, Haibo Liu, Yingjun Zhou, Xiao Zhou

“…Methods This was a retrospective, cross-sectional, bicentric study with data collected from January 1, 2018, to June 1, 2022. …”
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SAVE-T: Safety Analysis Visualization and Evaluation Tool by Yuan Zhu, Sami Demiroluk, Kaan Ozbay, Kun Xie, Hong Yang, Di Sha

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Analysis of space labeling through binary fingerprinting by Marouan Mizmizi, Luca Reggiani

“…One of the common drawbacks of fingerprinting is the large data size and consequently the large search space and computational load as a result of either vastness of the positioning area or the finer resolution in the fingerprinting grid map. …”
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