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  1. 341

    A machine learning approach to predict pancreatic islet grafts rejection versus tolerance. by Gerardo A Ceballos, Luis F Hernandez, Daniel Paredes, Luis R Betancourt, Midhat H Abdulreda

    Published 2020-01-01
    “…These findings demonstrate the feasibility of AI/ML approaches to classify small numbers of samples and they warrant further studies to identify the analytes/biochemicals corresponding to discriminative features as potential biomarkers of islet allograft immune rejection and tolerance.…”
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  2. 342
  3. 343

    An Amperometric Sensor with Anti-Fouling Properties for Indicating Xylazine Adulterant in Beverages by Arielle Vinnikov, Charles W. Sheppard, Ann H. Wemple, Joyce E. Stern, Michael C. Leopold

    Published 2024-10-01
    “…Amperometric electrochemical sensing schemes, which are easily fabricated and can directly relate measured current with analyte concentrations, remain a promising strategy for the development of the portable, in situ detection of commonly employed adulterants. …”
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    Article
  4. 344

    Systematically constructing the likelihood for boosted $H\to gg$ decays by Andrew J. Larkoski

    Published 2025-04-01
    “…Though this decay mode of the Higgs is unlikely to be discovered at the LHC, we analytically demonstrate several features of the likelihood ratio for this problem through explicit analysis of signal and background matrix elements. …”
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    Article
  5. 345

    A correlation study on EEG signals during visual concentration test and clinical evaluation in schizophrenia patients by Min-Wei Huang, Qun-Wei Chang, Wen-Lin Chu

    Published 2025-08-01
    “…Applying SVM and decision tree methods established significant correlations between EEG features and clinical scales, indicating the system’s efficacy in supporting psychiatric diagnosis. …”
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    Article
  6. 346

    Brain microdialysis in neurobiology and neurochemistry by E. V. Kharitonova, O. L. Lopatina, S. A. Marchenko, Y. V. Gorina, A. B. Salmina

    Published 2020-09-01
    “…Widely established in pharmacology and neuroscience, it permits evaluation of the metabolism in any organ including brain and allows early detection of the cell stress. Concentrations of the target analytes in the dialysate are determined by the type of the analysed tissue, paracrine interactions, and technical features such as membrane type and surface area or flow rate of isotonic fluid. …”
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    Article
  7. 347

    Transformer Oil Acid Value Prediction Method Based on Infrared Spectroscopy and Deep Neural Network by Linjie Fang, Chuanshuai Zong, Zhenguo Pang, Ye Tian, Xuezeng Huang, Yining Zhang, Xiaolong Wang, Shiji Zhang

    Published 2025-06-01
    “…The traditional detection method of transformer oil acid value has limitations, such as long detection period and toxicity of reagents; while, with the traditional spectral analysis, it is difficult to realize the efficient extraction of key features related to the acid value content. …”
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    Article
  8. 348

    Aflatoxin M1 Determination in Whole Milk with Immersible Silicon Photonic Immunosensor by Dimitra Kourti, Michailia Angelopoulou, Eleni Makarona, Anastasios Economou, Panagiota Petrou, Konstantinos Misiakos, Sotirios Kakabakos

    Published 2025-03-01
    “…Given its analytical performance and the absence of pumps and fluidics that lead to a compact instrument design, the proposed immunosensor is ideal for the on-site detection of AFM1 in milk samples.…”
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    Article
  9. 349

    Decompensated heart failure: a reconceptualization in the light of updated consensus statement of the European Society of Cardiology by V. N. Larina, V. A. Kokorin, V. G. Larin, V. I. Lunev, N. A. Suvorova, I. K. Skiba, E. S. Shcherbina

    Published 2023-12-01
    “…The article presents a brief analytical review of the European Society of Cardiology consensus statement on the definition and clinical features of heart failure (HF) with a summary of the latest results on the treatment and prevention of exacerbation. …”
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    Article
  10. 350

    Eco-friendly molecularly imprinted polymer-based sensing platforms towards pharmaceuticals: recent advances and future prospects by Rüstem Keçili, Ghazanfar Hussain, Chaudhery Mustansar Hussain, Adil Denizli

    Published 2025-08-01
    “…MIPs, known for their high specificity and robustness, have emerged as promising materials for the design and constrcution of eco-friendly sensing platforms capable of detecting pharmaceuticals in complex matrices. This review paper provides a comprehensive review of recent advances in the design, fabrication and application of eco-friendly MIP-based sensing platforms, with a focus on their eco-friendly and sustainable features and analytical performance. …”
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    Article
  11. 351
  12. 352

    Rapid determination of sodium pentachlorophenate in bamboo and wooden cutting boards via ultrasonic-assisted liquid-liquid extraction coupled with ultra-performance liquid chromato... by Ye Wang, Mingyou Hu, Fang Wang, Juan Yu, Guojian Shao

    Published 2025-01-01
    “…The method exhibited excellent linearity across a concentration range of 1.0-500.0 μg/L (R2 ≥ 0.999), with a limit of detection (LOD) of 0.5 μg/kg and a limit of quantification (LOQ) of 1.5 μg/kg. …”
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  13. 353

    Diagnostic potential of the B9D2 gene in colorectal cancer based on whole blood gene expression data and machine learning by Zhaorui Wang, Yongcheng Fu, Haozhe Zhang, Na Liu, Ningjing Lei

    Published 2025-08-01
    “…Additionally, three machine learning methods—Random Forest (RF), LASSO regression, and Support Vector Machine Recursive Feature Elimination (SVM-RFE)—were employed for feature selection and to evaluate the robustness and predictive power of the selected features, with diagnostic efficacy evaluated through Receiver Operating Characteristic (ROC) curves. …”
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  14. 354

    Synergizing Multi-Temporal Remote Sensing and Systemic Resilience for Rainstorm–Flood Risk Zoning in the Northern Qinling Foothills: A Geospatial Modeling Approach by Dong Liu, Jiaqi Zhang, Xin Wang, Jianbing Peng, Rui Wang, Xiaoyan Huang, Denghui Li, Long Shao, Zixuan Hao

    Published 2025-06-01
    “…The proposed framework uniquely integrates three innovative modules: (1) a hybrid risk identification engine combining normalized difference vegetation index (NDVI) temporal anomaly detection and spatiotemporal hotspot analysis; (2) a morpho-functional resilience quantification model featuring a newly developed spatial morphological resilience index (SMRI) that synergizes landscape compactness, land-use diversity, and ecological connectivity through the entropy-weighted analytic hierarchy process (AHP); and (3) a dynamic scenario simulator embedding rainfall projections into a coupled hydrodynamic model. …”
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  15. 355

    2D nanomaterials in biosensing: Synthesis, characterization, integration in biosensors and their applications by Desmond Lutomia, Renu Poria, Deepak Kala, Preeti Garg, Rupak Nagraik, Ankur Kaushal, Shagun Gupta, Deepak Kumar

    Published 2025-08-01
    “…In addition to providing extra features like structural color, ordered morphological features, and the capacity to detect and react to external stimuli, such hierarchical structures provide opportunities to tune the characteristics of materials. …”
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  16. 356

    An enhanced fusion of transfer learning models with optimization based clinical diagnosis of lung and colon cancer using biomedical imaging by N. A. S. Vinoth, J. Kalaivani, R. Madonna Arieth, S. Sivasakthiselvan, Gi-Cheon Park, Gyanendra Prasad Joshi, Woong Cho

    Published 2025-07-01
    “…Clinical informatics is an interdisciplinary field that integrates healthcare, information technology, and data analytics to improve patient care, clinical decision-making, and medical research. …”
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    Article
  17. 357

    Support for a Long Lifetime and Short End-to-End Delays with TDMA Protocols in Sensor Networks by Marcin Brzozowski, Hendrik Salomon, Peter Langendoerfer

    Published 2012-08-01
    “…We exploit hardware features of available transceivers that allow early detection of idle wake-up periods. …”
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  20. 360

    QuEChERS combined with ultra-high performance liquid chromatography-tandem mass spectrometry to determine acrylamide in Xinjiang Naan products by XU Man, SONG Shaolong, HU Jun, SHI Haiyun, LIU Jian

    Published 2024-11-01
    “…The separation was performed using ACQUITY UPLC HSS T3 (100 mm×2.1 mm, 1.8 µm) column, with a mobile phase of water-methanol, in electrospray ionization positive ion mode and multi-reaction monitoring mode.ResultsThe method demonstrated a strong linear relationship for acrylamide detection within the range of 1.0~100 ng/mL (R2>0.999 1), with detection and quantitation limits of 0.25 µg/kg and 0.82 µg/kg, respectively. …”
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