Mn-Doped CeO₂ Nanozyme-Integrated Mesoporous Interfaces for High-Sensitivity Antifouling Electrochemiluminescence Biosensing by Guanze Huang, Haiyan Qiu, Huiping Chen, Wanxuan Li, Yufei Zhang, Minfang Huang, Tingting Zhang, Xiaoxin Xu, Shanwen Hu

“…To address the challenges of nonspecific adsorption interference and low mass transfer efficiency encountered by electrochemiluminescence (ECL) sensors in complex biological matrices, this study developed a Mn@CeO₂ nanozyme-based sensing interface. …”
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Enhanced SVM-based model for predicting cyberspace vulnerabilities: Analyzing the role of user group dynamics and capital influx. by Yicheng Long

“…By incorporating the dynamics of user behavioral changes and the logic of platform scaling driven by investment, two representative cybersecurity datasets are selected for analysis: the Canadian Institute for Cybersecurity Intrusion Detection System 2017 and the Network-Based Intrusion Detection Evaluation Dataset 2015. …”
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A scenario-based alternative to conventional tools for choosing the strategy in turbulent environments by Ali Sorourkhah

“…This study provides managerial implications by showing that despite the classic strategy selection approach being appropriate for austere environments and the MADM models being reasonable for complex environments, RA  produces more reliable results when dealing with turbulent environments.…”
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A practical tutorial for optimizing electromembrane extraction methods by response surface methodology by Samira Dowlatshah, Anne Oldeide Hay, Line Noreng, Frederik André Hansen

“…The tutorial aims to make RSM accessible to both novice and moderately experienced users, promoting its broader application in analytical chemistry. By simplifying the complex optimization process, this tutorial supports the development of robust, efficient, and green EME methods.…”
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A Review of Wavefront Sensing and Control Based on Data-Driven Methods by Ye Zhang, Qichang An, Min Yang, Lin Ma, Liang Wang

“…Therefore, the detection and correction of optical aberrations are crucial for efficient and accurate observations. …”
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Research Progress and Technical Challenges of Geothermal Energy Development from Hot Dry Rock: A Review by Yilong Yuan, Xinli Zhang, Han Yu, Chenghao Zhong, Yu Wang, Dongguang Wen, Tianfu Xu, Fabrizio Gherardi

“…Key technologies include the high-resolution exploration and characterization of HDR, efficient and complex fracture network reservoir creation, effective microseismic control, fracture network connectivity, and reservoir characterization. …”
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Advanced predictive disease modeling in biomedical IoT using the temporal adaptive neural evolutionary algorithm by Chandragandhi S, Arvind C, Srihari K

“…Abstract Biomedical IoT, predictive modeling, disease diagnosis, and temporal data analysis have become essential components in modern healthcare systems. Accurate and efficient predictive disease modeling is crucial in biomedical IoT for early detection and intervention, yet existing models like LSTM and XGBoost face limitations in handling the complexity and temporal nature of health data streams. …”
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Direct prion neuroinvasion following inhalation into the nasal cavity by Anthony E. Kincaid, Melissa D. Clouse, Shawn M. Magrum, Jason C. Bartz

“…Prions were identified in the trigeminal ganglion, the spinal trigeminal tract in the brainstem, the intermediolateral cell column of the thoracic spinal cord, and the dorsal motor nucleus of the vagus/solitary nucleus complex months prior to detection of prions in the olfactory bulb or superior cervical ganglion. …”
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Mutation‐inspired symbolic execution for software testing by Kevin J. Valle‐Gómez, Antonio García‐Domínguez, Pedro Delgado‐Pérez, Inmaculada Medina‐Bulo

“…Abstract Software testing is a complex and costly stage during the software development lifecycle. …”
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Selección de proveedores con el método PSI by Ángel Rodríguez Rodriguez, Raquel Irene Laguado Ramírez, Belisario Peña Rodríguez, Lida Yaneth Maldonado Mateus

“…This makes it an ideal option for complex processes such as supplier selection, where decision criteria are often multiple and diverse, such as cost, quality, reliability, or delivery time, among others. …”
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Tracking Oral Nanoparticle Uptake in Mouse Gastrointestinal Tract by Fluorescent Labeling and t-SNE Flow Cytometry by Rabeya Mow, Michal Kuczma, Xiaodi Shi, Didier Merlin, Chunhua Yang

“…By integrating optimized fluorochrome selection and gating strategies with advanced t-distributed stochastic neighbor embedding (t-SNE) analysis, this method enables precise identification and multidimensional visualization of LNP-targeted epithelial and macrophage populations under the complex conditions of inflamed colon tissue. …”
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Parallelization of the Bison Algorithm Applied to Data Classification by Simone A. Ludwig, Jamil Al-Sawwa, Aaron Mackenzie Misquith

“…In data science and machine learning, efficient and scalable algorithms are paramount for handling large datasets and complex tasks. …”
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Study on Tracking Real-Time Target Human Using Deep Learning for High Accuracy by Van-Truong Nguyen, Duc-Tuan Chu

“…First, real-time human detection is performed by the combination of MobileNet-v2 and single-shot multibox detector (SSD). …”
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Synovial fluid genexpert quietus diagnostic jostle – A case report and algorithmic approach to monoarthritis by Prajna Karki, Ramyasri Kodali, Vineeta shobha

“…Xpert® MTB/RIF (Xpert) is a rapid, automated, nucleic acid amplification assay, recommended by the World Health Organization for the simultaneous detection of MTB complex and rifampicin resistance. …”
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Multi-Head Attention-Based Framework with Residual Network for Human Action Recognition by Basheer Al-Tawil, Magnus Jung, Thorsten Hempel, Ayoub Al-Hamadi

“…Additionally, we introduce a motion-based frame selection strategy utilizing optical flow to reduce redundancy and enhance efficiency. …”
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The analysis of strategic management decisions and corporate competitiveness based on artificial intelligence by Yang Pu, Hao Li, Wenjia Hou, Xingchen Pan

“…This work provides enterprises with an efficient and reliable decision-support tool, facilitating the maintenance of competitive advantages in complex and dynamic market environments.…”
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A Novel Dual-Channel Hybrid Attention Model for Wind Turbine Misalignment Fault Diagnosis by Tong Tong, Xiang Liu, Jia Zhang, Dian Long, Teng Fan, Xiangyang Zheng

“…This module achieves efficient integration of features by adaptively fusing the multi-scale local features output from the hybrid U-Net decoder with the deep global features extracted from the ResNet50 backbone network through a dynamic weighting and expert selection mechanism. …”
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Colonial bacterial memetic algorithm and its application on a darts playing robot by Szilárd Kovács, Csaba Budai, János Botzheim

“…CBMA incorporates features like multi-level clustering, dynamic gene selection, hierarchical population clustering, and adaptive co-evolutionary mechanisms, enabling efficient management of task-specific parameters and optimizing solution quality while minimizing resource consumption. …”
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Object-topological modeling of electrical networks by I. A. Golovinskii

“…It allows building object-oriented models of electrical networks, but does not provide efficient tools for analyzing their structure and state. …”
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The Role of CoLab and GAITS in Enabling the RADx Tech Program by John M. Collins, Marshall R. Collins, Tamara McKenzie, Mark Marino

“…These teams collaborated in complex workflows that needed to be carefully monitored and tracked. …”
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