Prediction model of in-hospital mortality risk in intensive care unit patients with cardiac arrest: a multicenter retrospective cohort study based on an ensemble model by Li Liu, Wei-Wei Lai, Bo-Wen Li, Shu-Hang Wang, Mu-Ming Yu, Yan-Cun Liu, Yan-Fen Chai

“…Machine learning (ML) models of prognosis in cardiac arrest (CA) patients have been established, but there are some interferences in their clinical application. This study developed an ensemble learning (EL) model based on clinical information to predict IHCA patient death risk.Methods and resultsThis retrospective cohort study used data from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database and eICU Collaborative Research Database. …”
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Evaluation of the acceptability of ESIDA app, a smartphone-based clinical decision support application to improve infectious disease outbreak detection in Tanzania: clinician persp... by Ummul-khair Mustafa, Elingarami Sauli, Katharina Sophia Kreppel, Juliane Boenecke, Johanna Brinkel

“…Data were collected and analyzed using the Unified Theory of Acceptance and Use of Technology (UTAUT) model. …”
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Economics of Maize and Bean Production: Why Farmers need to Shift to Conservation Agriculture for Sustainable Production by Hillary Moses Omondi Otieno, George N. Chemining’wa, Charles K. Gachene, Shamie Zingore

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Clinical Effects of Traditional Chinese Medicine + Azithromycin in the Treatment of Mycoplasma Pneumonia by Zhang G, Li Q, Zhang J

“…Guan Zhang,1 Qian Li,2 Jing Zhang1 1Department of Infection, Taihe County Hospital of Traditional Chinese Medicine, Buyang City, Anhui Province, 236600, People’s Republic of China; 2Department of Pharmacy, Taihe County Hospital of Traditional Chinese Medicine, Buyang City, Anhui Province, 236600, People’s Republic of ChinaCorrespondence: Guan Zhang, Department of Infection, Taihe County Hospital of Traditional Chinese Medicine, 59 Tuanjie West Road, Taihe County, Fuyang City, Anhui Province, 236600, People’s Republic of China, Email guanzhangth@163.comObjective: To explore the clinical effect of Traditional Chinese Medicine (TCM) plus azithromycin in the treatment of Mycoplasma pneumonia (MP).Methods: This was a retrospective study including the clinical data of 119 patients with MP treated at Taihe County Hospital of Traditional Chinese Medicine from April 2021 to November 2023. …”
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Standardizing and Classifying Anterior Cruciate Ligament Injuries: An International Multicenter Study Using a Mobile Application by Nadia Karina Portillo-Ortíz, Luis Raúl Sigala-González, Iván René Ramos-Moctezuma, Brenda Lizeth Bermúdez Bencomo, Brissa Aylin Gomez Salgado, Fátima Cristal Ovalle Arias, Irene Leal-Berumen, Edmundo Berumen-Nafarrate

“…<b>Conclusions</b>: The PSM mobile application, combined with standardized pivot-shift techniques, is a reliable tool for diagnosing and classifying ACL injuries. …”
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The Current State of Decision Support Systems in Education on the Basis of Factual Data (Review and Problem Statement) by N. I. Listopad, A. V. Zhukovskaja

“…The article deals with the problem of creating a decision support system in the field of education –  an unified intelligent platform for the collection, processing, analysis and presentation of factual data on the basis of client-server applications as well as using the "cloud" technologies, which will integrate and optimize disjointed base and data banks for different levels of education to solve a range of problems, including planning, monitoring and forecasting the branch development  in the short and long term.…”
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The Current State of Decision Support Systems in Education on the Basis of Factual Data (Review and Problem Statement) by N. I. Listopad, A. V. Zhukovskaja

“…The article deals with the problem of creating a decision support system in the field of education –  an unified intelligent platform for the collection, processing, analysis and presentation of factual data on the basis of client-server applications as well as using the "cloud" technologies, which will integrate and optimize disjointed base and data banks for different levels of education to solve a range of problems, including planning, monitoring and forecasting the branch development  in the short and long term.…”
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Transitioning from Simulation to Reality: Applying Chatter Detection Models to Real-World Machining Data by Matthew Alberts, Sam St. John, Simon Odie, Anahita Khojandi, Bradley Jared, Tony Schmitz, Jaydeep Karandikar, Jamie B. Coble

“…While machine learning models trained on simulated data have shown promise in detecting chatter, their real-world applicability remains uncertain due to discrepancies between simulated and actual machining environments. …”
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A 3-D Parallel Method of PSTD-Based Reverse Time Migration of GPR Data by Lingjia Huang, Bowen Ma, Qinghua Huang

“…Ground penetrating radar (GPR) is a nondestructive technique with broad applications. Reverse time migration (RTM) of GPR data plays an important role in imaging complex structure. …”
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BengalDeltaFish: A local dataset for fish detection in Bangladeshi marketsMendeley Data by Sabrina Alim Dipa, Arjun Pal, Md. Shoaib Shahria, Md. Delwar Shahadat Deepu, Raiyan Rahman

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A Novel Lo-Ra-Based Wireless Communication Module for Industrial Data Acquisition-Telemetry by Ranu Wijaya, Ahmad Radhy, Safira F. Mujiyanti

“…The implementation of the UHF communication module considers critical aspects such as reliability, data throughput, and latency for industrial applications. …”
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A data driven framework for optimizing droplet microfluidics with residual block and Fourier enhanced networks by Alireza Samari, Kamal Jannati, Azadeh Jafari

“…In this study, we present a data-driven framework that employs machine learning to predict droplet size and generation frequency, while simultaneously optimizing device geometry. …”
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A hybrid ECC-AES encryption framework for secure and efficient cloud-based data protection by P. Selvi, S. Sakthivel

“…Unlike conventional encryption models such as RSA-2048 (15ms encryption, 12ms decryption) and AES-256 (6ms encryption, 5ms decryption), SymECCipher achieves significantly lower encryption time (5ms) and decryption time (4ms) while maintaining a high throughput of 1000 Mbps, ensuring secure and efficient data encryption. The proposed methodology is designed to handle secure cloud-based healthcare applications, implemented in the form of User, Doctor, and Cloud Modules to handle patient records and treatment recommendations. …”
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Dynamic ReLab: A Binary Path-Based Labeling Scheme for Dynamic XML Data by Yanche Ari Kustiawan, Khairil Imran Ghauth

“…These results highlight Dynamic ReLab&#x2019;s relevance for modern applications requiring real-time adaptability and high-performance query processing in dynamic XML data environments.…”
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DFT Studies on Physicochemical Properties and Spectral Data of 2-Thiophene Carboxylic Acid Thiourea Derivatives by Andreea Neacsu, Carmellina Badiceanu, Cristina Stoicescu, Viorel Chihaia

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From Data to Diagnosis: Enhancing Radiology Reporting With Clinical Features Encoding and Cross-Modal Coherence by Saeed Iqbal, Adnan N. Qureshi, Faheem Khan, Khursheed Aurangzeb, Muhammad Azeem Akbar

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Generative AI and CAD automation for diverse and novel mechanical component designs under data constraints by Kun-Ying Li, Cheng-Kai Huang, Qing-Wei Chen, Hsuan-Cheng Zhang, Tsann-Tay Tang

“…Existing deep learning-based generative design approaches often depend on large datasets, which limits their applicability in data-scarce contexts. Additionally, conventional image generation techniques often produce impractical designs, requiring extensive manual validation by engineers. …”
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Enhancing Streamflow Reanalysis Across the Conterminous US Leveraging Multiple Gridded Precipitation Data Sets by Ganesh R. Ghimire, Shih‐Chieh Kao, Sudershan Gangrade

“…We envision that multi‐forcing streamflow reanalysis data can inform regions in need of forcing data enhancement, diagnose hydrologic model performance, and benefit diverse water resource applications.…”
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Toward Semi-Autonomous Robotic Arm Manipulation Operator Intention Detection From Force Data by Abdullah S. Alharthi, Ozan Tokatli, Erwin Lopez, Guido Herrmann

“…To support this approach, we collected a diverse dataset from teleoperation experiments involving glovebox tasks in nuclear applications. This dataset encompasses heterogeneous spatiotemporal data captured from the teleoperation system. …”
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Discriminating woody species assemblages from National Forest Inventory data based on phylogeny in Georgia by Alexander Wellenbeck, Lutz Fehrmann, Hannes Feilhauer, Sebastian Schmidtlein, Bernhard Misof, Nils Hein

“…This study aims to evaluate the applicability of unsupervised classification for National Forest Inventory data from Georgia by comparing two cluster hierarchies. …”
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