A multi-source data-driven framework for probabilistic flood risk assessment using cascade machine learning models: case study in the Sichuan Basin by Yan Lu, Ying Huang, Xiaoling Liu

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Out-of-hospital cardiac arrest: assessing the problem status and identifying priority areas for improving the care provision. Data from the 2020-2022 Crimean registry by A. A. Birkun, L. P. Frolova, G. N. Buglak

“…An analysis of the data from the "Crimean registry of cases of OHCA and cardiopulmonary resuscitation" was performed. …”
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Developing a Multi-Method Approach for Understanding Cellular Uptake and Biological Response: Investigating Co-Exposure of Macrophage-like Differentiated THP-1 Cells to Al<sub>2</s... by Yves Uwe Hachenberger, Benjamin Christoph Krause, Fabian Lukas Kriegel, Philipp Reichardt, Jutta Tentschert, Harald Jungnickel, Frank Stefan Bierkandt, Peter Laux, Ulrich Panne, Andreas Luch

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Deep Reinforcement Learning in Non-Markov Market-Making by Luca Lalor, Anatoliy Swishchuk

“…The SAC algorithm is an off-policy entropy maximization algorithm more suitable for tackling complex, high-dimensional problems with continuous state and action spaces, like those in optimal market-making (MM). We introduce the optimal MM problem considered, where we detail all the deterministic and stochastic processes that go into setting up an environment to simulate this strategy. …”
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Stellar Population Properties in the Stellar Streams around SPRC047 by Seppo Laine, David Martínez-Delgado, Kristi A. Webb, Mohammad Akhlaghi, Roberto Baena-Gallé, Sanjaya Paudel, Michael Stein, Denis Erkal

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Models for analyzing the complexity of English words in the text on the scale from A1 to C2 by М. Бєліков, Т. Ліхоузова, Ю. Олійник

“…A model that predicts the difficulty of words in a text can be used to improve the educational process. For example, it is possible to find a list of likely unknown and difficult words for the end user in any text depending on his level of English language proficiency. …”
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Transient subglacial water routing efficiency modulates ice velocities prior to surge termination on Sít’ Kusá, Alaska by Yoram Terleth, Timothy C. Bartholomaus, Jukes Liu, Flavien Beaud, Thomas Dylan Mikesell, Ellyn Mary Enderlin

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Information in Reality: Logic and Metaphysics by Joseph E. Brenner

“…In reality, information processes, like those of time, change and human con-sciousness, are contradictory: they are regular and irregular; consistent and inconsistent; continuous and discontinuous. …”
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Enhancing neuromolecular imaging classification in low-data regimes with generative machine learning: A case study in HDAC PET/MR imaging of alcohol use disorder by Tyler N. Meyer, Olga Andreeva, Roger D. Weiss, Wei Ding, Iris Shen, Changning Wang, Ping Chen, Tewodros Mulugeta Dagnew

“…Introduction: Positron Emission Tomography (PET) is a vital modality for investigating brain related disorders. However, data scarcity especially for novel molecular targets like neuroepigenetic enzymes combined with difficult-to-recruit patient populations limits the development of machine learning (ML) models. …”
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Explainable Deep Learning for COVID-19 Vaccine Sentiment in Arabic Tweets Using Multi-Self-Attention BiLSTM with XLNet by Asmaa Hashem Sweidan, Nashwa El-Bendary, Shereen A. Taie, Amira M. Idrees, Esraa Elhariri

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Biometric Fusion for Enhanced Authentication in Cloud Computing Environments by Chiyo Miyazawa, Ryosuke Sato

“…Each trait undergoes meticulous image processing stages, encompassing pre-processing, normalization, and feature extraction. …”
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Smart factory solutions based on cellular industrial Internet of things by Shulei GONG, Kun LI, En TONG, Hongde GUO, Yi ZHOU, Ye WANG, Fei DING

“…So far,the overall informatization level of manufacturing industry has been uneven,and there are many problems such as low intelligence and poor connectivity.First of all,with the features like low power consumption of the Internet of things,the sensor devices can be deployed flexibly to realize real-time collection and transmission of production data.Then the manufacturing execution system based on the cellular industrial Internet of things had been built,and realized the closed-loop processing of human,machine,material,method and surrounding.The industrial big data of the whole production process was modeled,analyzed and processed.The operation and maintenance cost was reduced,and the production efficiency and product quality were improved.Finally,the overall efficiency of the application was evaluated which showed that the factory capacity was improved effectively.…”
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Recent Advancements in Federated Learning: State of the Art, Fundamentals, Principles, IoT Applications and Future Trends by Christos Papadopoulos, Konstantinos-Filippos Kollias, George F. Fragulis

“…Nonetheless, the potential benefits are clear: FL can lower the costs associated with data storage and processing, while also helping organizations to meet strict privacy regulations like GDPR. …”
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Identification of DCAF5 as a novel cancer prognostic and immunotherapy biomarker through pan-cancer analysis and renal clear cell carcinoma clinical data validation by Huaqing Yan, Liqi Zhang, Fan Xu, Tieding Chen, Rubing Li

“…Multiple public databases were used such as the UCSC Xena platform, The Cancer Genome Atlas, and the Genotype-Tissue Expression project. The raw data extracted from the UCSC Xena platform was subsequently processed utilizing online analytical tools to facilitate further in-depth examination. …”
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Long short‐term memory on abstract syntax tree for SQL injection detection by Z. Zhuo, T. Cai, X. Zhang, F. Lv

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The Effectiveness of Large Language Models in Transforming Unstructured Text to Standardized Formats by William Brach, Kristian Kostal, Michal Ries

“…While Large Language Models (LLMs) have shown remarkable capabilities in natural language processing, their potential to transform unstructured text into standardized, structured formats remains largely unexplored - a capability that could revolutionize data processing workflows across industries. …”
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Design and Implementation of an Intelligent Web Service Agent Based on Seq2Seq and Website Crawler by Mei-Hua Hsih, Jian-Xin Yang, Chen-Chiung Hsieh

“…The second experiment uses knowledge of the target domain to ask questions. Five thousand data from Taiwan Water Supply Company were used as the target training data, and a thousand questions that differed from the training data but related to water were used for testing. …”
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Automated brain tumor recognition using equilibrium optimizer with deep learning approach on MRI images by Mahmoud Ragab, Iyad Katib, Sanaa A. Sharaf, Hassan A. Alterazi, Alanoud Subahi, Sana G. Alattas, Sami Saeed Binyamin, Jaber Alyami

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Leveraging Artificial Neural Networks for Real-Time Speech Recognition in Voice-Activated Systems by Kumar V Suresh, B Raveendra Nadh, S Sureshkumar, Suresh Kumar Anisetty, S R Arun Raj, G Sheeba

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A review on NLP zero-shot and few-shot learning: methods and applications by G. Ramesh, Mahammad Sahil, Shashank A. Palan, Darshan Bhandary, Teli Abhishek Ashok, J. Shreyas, N. Sowjanya

“…Abstract Zero-shot and few-shot learning techniques in natural language processing (NLP), this comprehensive review traces their evolution from traditional methods to cutting-edge approaches like transfer learning and pre-trained language models, semantic embedding, attribute-based approaches, generative models for data augmentation in zero-shot learning, and meta-learning, model-agnostic meta-learning, relationship networks, model-agnostic meta-learning (MAML), prototypical networks in few-shot learning. …”
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