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    Heart failure subphenotypes based on mean arterial pressure trajectory identify patients at increased risk of acute kidney injury by Xiya Wang, Wenqing Ji, Shuxing Wei, Zhong Dai, Xinzhen Gao, Xue Mei, Shubin Guo

    Published 2025-12-01
    “…The occurrence of AKI within the first 7 days of intensive care unit (ICU) admission was considered the outcome. The impact of MAP trajectories on AKI occurrence in heart failure patients was analyzed using Cox proportional hazards models, competing risk models, and doubly robust estimation methods.Results A cohort of 8,502 HF patients was analyzed, with their 24-hour MAP trajectories categorized into five groups: Low MAP group (Class 1), Medium MAP group (Class 2), Low-medium MAP group (Class 3), High-to-low MAP group (Class 4), and High MAP group (Class 5). …”
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    Optimization of data allocation in hierarchical memory for blocked shortest paths algorithms by A. A. Prihozhy

    Published 2021-10-01
    “…To solve the problem of optimal block allocation, the paper introduces a block conflict weighted graph and recognizes two cases of block mapping: non-conflict and minimum-conflict. In first case, it formulates an equitable color-class-size constrained coloring problem on the conflict graph and solves it by developing deterministic and random algorithms. …”
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    On Ulam's Type Stability of the Cauchy Additive Equation by Janusz Brzdęk

    Published 2014-01-01
    “…We prove a general result on Ulam's type stability of the functional equation fx+y=fx+fy, in the class of functions mapping a commutative group into a commutative group. …”
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    Behavior Anomaly Detection Based on Multi-modal Feature Fusion and Its Application in English Teaching by Lei Kan, Man Wang

    Published 2025-02-01
    “…In order to improve the teaching quality, this paper proposes a multi-modal feature fusion-based abnormal behavior detection method, aiming at the problems of false detection, missing detection and imbalance of positive and negative samples in the abnormal behavior detection of students in class. The new method consists of encoder module, detection module and decoder module. …”
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    New Evaluation Method for Fuzzy Cluster Validity Indices by Ismay Perez-Sanchez, Miguel Angel Medina-Perez, Raul Monroy, Octavio Loyola-Gonzalez, Andres Eduardo Gutierrez-Rodriguez

    Published 2025-01-01
    “…Cluster analysis is the process of associating data objects with classes of similar objects. One key aspect of the clustering problem is to determine the optimal number of groups on a data set to effectively partition it. …”
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    Skin Lesion Classification Through Test Time Augmentation and Explainable Artificial Intelligence by Loris Cino, Cosimo Distante, Alessandro Martella, Pier Luigi Mazzeo

    Published 2025-01-01
    “…To improve the interpretability of the models’ decision-making processes, techniques such as t-distributed Stochastic Neighbor Embedding (t-SNE) and Gradient-weighted Class Activation Mapping (Grad-CAM) are employed. t-SNE is utilized to visualize the high-dimensional latent features of the CNNs in a two-dimensional space, providing insights into how the models group different skin lesion classes. …”
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    A systematic scoping review of the methodological approaches and effects of pesticide exposure on solitary bees. by David M Lehmann, Allison A Camp

    Published 2021-01-01
    “…Literature was subsequently screened for relevance using a Population, Exposures, Comparators, and Outcomes (PECO) statement and organized into a systematic evidence map. Investigations were organized by effect category (lethal effects on immatures, lethal effects on adults, sublethal effects on immatures, and sublethal effects on adults), species, pesticide class, and publication year.…”
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    Research on Fault Diagnosis Method Based on Improved CNN by Hu Hao, Feng Fuzhou, Zhu Junzhen, Zhou Xun, Jiang Pengcheng, Jiang Feng, Xue Jun, Li Yazhi, Sun Guanghui

    Published 2022-01-01
    “…The gradient-weighted class activation mapping (Grad-CAM) method was used to visualize the classification weight of samples. …”
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    Essentials of sociology: A down to earth approach/ by Hensline James M

    Published 2019
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    Ultrasound investigation at examination of gastro-intestinal tract at combined trauma by A. S. Yermolov, O. A. Alekseyechkina, Ye. S. Vladimirova, G. P. Titova, V. M. Abuchina

    Published 2015-07-01
    “…In 27 patients of the first group US revealed signs of ileus in posttraumatic period. …”
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    Enhancing furcation involvement classification on panoramic radiographs with vision transformers by Xuan Zhang, Enting Guo, Xu Liu, Hong Zhao, Jie Yang, Wen Li, Wenlei Wu, Weibin Sun

    Published 2025-01-01
    “…The gradient-weighted class activation mapping (Grad-CAM) analysis on the ViT model revealed the key areas of the images that the model focused on during predictions. …”
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    Consumer acceptance of protein beverage ingredients: Less is more by D. Rovai, M.E. Watson, D.M. Barbano, M.A. Drake

    Published 2025-02-01
    “…Consumer sentiment from focus groups was compiled and grouped based on themes that emerged across multiple focus groups. …”
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    Potential value of novel multiparametric MRI radiomics for preoperative prediction of microsatellite instability and Ki-67 expression in endometrial cancer by Zhichao Wang, Yan Hu, Jun Cai, Jinyuan Xie, Chao Li, Xiandong Wu, Jingjing Li, Haifeng Luo, Chuchu He

    Published 2025-01-01
    “…Model performance and interpretability were evaluated using standard classification metrics, Gradient-weighted Class Activation Mapping (Grad-CAM), and SHapley Additive exPlanations (SHAP) techniques. …”
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    Forecasting contrail climate forcing for flight planning and air traffic management applications: the CocipGrid model in pycontrails 0.51.0 by Z. Engberg, R. Teoh, T. Abbott, T. Dean, M. E. J. Stettler, M. L. Shapiro

    Published 2025-01-01
    “…Outputs are provided for <span class="inline-formula"><i>N</i></span> aircraft-engine groups, with groupings based on similarities in aircraft mass and engine particle number emissions: <span class="inline-formula"><i>N</i>=7</span> results in a 3 % mean error between the trajectory- and grid-based CoCiP, while <span class="inline-formula"><i>N</i>=3</span> facilitates operational simplicity but increases the mean error to 13 %. …”
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