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  1. 22861

    Rolling Bearings Fault Diagnosis under Variable Speed Conditions Based on Multitime-Frequency Ridge Extraction by Qing Xiong, Yixuan Li, Xiaoli Qiu, Dong Yu, Weihua Zhang, Qingze Chen

    Published 2024-01-01
    “…The frequency ratio of each ridge to the additional ridge, the average value of the ratio, and the variance of the ratio are calculated, respectively, and finally, the matching degree between the average ratio and the fault feature coefficient is compared with the diagnosis of the bearing fault. …”
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  2. 22862

    A multi-trait approach identified 7 novel genes for back pain by Nadezhda M. Belonogova, Elizaveta E. Elgaeva, Irina V. Zorkoltseva, Anatoliy V. Kirichenko, Gulnara R. Svishcheva, Maxim B. Freidin, Frances M. K. Williams, Pradeep Suri, Tatiana I. Axenovich, Yakov A. Tsepilov

    Published 2025-02-01
    “…Conditional analysis was applied to account for the effects of genetic variants outside the gene. Finally, we replicated significantly associated genes using the FinnGen database. …”
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  3. 22863

    Steel Surface Defect Detection Based on Improved GCHS-YOLO Algorithm by Ruiqiang Guo, Peiyong Ji, Yapin Zhang, Jingqi Hu, Wenlong Liu, Xuejian Li, Min Li

    Published 2024-01-01
    “…This not only decreases the model’s complexity but also reduces uncertainty in the extracted information.Finally, the Spatial Pyramid Dilated Convolution (SPDConv) expands the model’s perceptual field, improving feature extraction, especially for small defects. …”
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  4. 22864

    Computational epitope-based vaccine design with bioinformatics approach; a review by Esmaeil Roohparvar Basmenj, Susan Radman Pajhouh, Afsane Ebrahimi Fallah, Rafe naijian, Elmira Rahimi, Hossein Atighy, Shadan Ghiabi, Shamim Ghiabi

    Published 2025-01-01
    “…Subsequently, after identifying and assembling the vital epitopes with the assistance of linkers and adjuvants, our vaccine candidate can be formulated. Finally, employing computational techniques, we can thoroughly evaluate the designed vaccine. …”
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    Article
  5. 22865

    Unleashing the power of pinyin: promoting Chinese named entity recognition with multiple embedding and attention by Jigui Zhao, Yurong Qian, Shuxiang Hou, Jiayin Chen, Kui Wang, Min Liu, Aizimaiti Xiaokaiti

    Published 2025-01-01
    “…This mechanism deeply integrates character, pinyin, and lexicon embeddings, generating character sequences enriched with semantic information. Finally, BiLSTM-CRF is employed for sequence modeling. …”
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  6. 22866

    Distributed Compressed Hyperspectral Sensing Imaging Incorporated Spectral Unmixing and Learning by Hua Xiao, Zhongliang Wang, Xueying Cui, Liping Wang, Hongsheng Yang, Yingbiao Jia

    Published 2022-01-01
    “…Then, the joint horizontal and vertical difference operators are proposed to enhance the estimation of the initial values of abundance. Finally, the CS band endmembers and residuals are updated in the reconstruction module to deal with the endmember and abundance mismatch. …”
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  7. 22867

    DGFEG: Dynamic Gate Fusion and Edge Graph Perception Network for Remote Sensing Change Detection by Shengning Zhou, Genji Yuan, Zhen Hua, Jinjiang Li

    Published 2025-01-01
    “…Second, a dynamic gate fusion module is introduced to dynamically weight and fuse the concatenated and differential features obtained by the encoder, enhancing the semantic representation of actual building change regions. Finally, an edge graph perception module integrates edge information with the fused features, leveraging the spatial similarity of graph structures and the interaction of edge features to suppress irrelevant edge interference, thereby improving the model's sensitivity and accuracy in detecting subtle building changes. …”
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  8. 22868

    A two-step machine learning approach for predictive maintenance and anomaly detection in environmental sensor systems by Saiprasad Potharaju, Ravi Kumar Tirandasu, Swapnali N. Tambe, Devyani Bhamare Jadhav, Dudla Anil Kumar, Shanmuk Srinivas Amiripalli

    Published 2025-06-01
    “…This research is novel in seamlessly blending unsupervised anomaly detection using Isolation Forest to create labels for data points that were previously unlabeled. Finally, these generated labels were used to train the supervised learning models such as Random Forest, Neural Network (MLP Classifier), and AdaBoost to predict anomalies in new sensor data as soon as it gets recorded. …”
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  9. 22869

    Triaxial Compressive Failure Characteristics and Constitutive Model Study of Jurassic-Cretaceous Weakly Cemented Sandstone by Jinlong Cai, Wei Zou

    Published 2020-01-01
    “…Then, the mathematical expression of the 3D damage statistical constitutive model was established. Finally, the theoretical curve of the established constitutive model was compared with the triaxial test curve, which showed a high degree of coincidence.…”
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  10. 22870

    Successful Treatment of Rhabdomyolysis-Associated Acute Kidney Injury with Haemoadsorption and Continuous Renal Replacement Therapy by Wun Fung Hui, Kam Lun Hon, Kin Shing Lun, Karen Ka Yan Leung, Wing Lum Cheung, Alexander K. C. Leung

    Published 2021-01-01
    “…A 14-year-old girl with multiorgan failure requiring extracorporeal membrane oxygenation developed rhabdomyolysis due to reperfusion injury. Her creatine kinase (CK) and lactate levels continued to escalate despite high-dose CRRT. …”
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  11. 22871

    Inhibition of Epithelial CC-Family Chemokine Synthesis by the Synthetic Chalcone DMPF-1 via Disruption of NF-κB Nuclear Translocation and Suppression of Experimental Asthma in Mice... by Revathee Rajajendram, Chau Ling Tham, Mohamad Nadeem Akhtar, Mohd Roslan Sulaiman, Daud Ahmad Israf

    Published 2015-01-01
    “…Western blot analysis further demonstrated that the inhibitory activity resulted from disruption of p65NF-κB nuclear translocation without any effects on the mitogen-activated protein kinase (MAPK) pathway. Treatment of ovalbumin-sensitized and ovalbumin-challenged BALB/c mice with DMPF-1 (0.2–100 mg/kg) demonstrated significant reduction in the secretion and gene expression of CC chemokines (RANTES, eotaxin-1, and MCP-1) and Th2 cytokines (IL-4, IL-5, and IL-13). …”
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  12. 22872

    Inhibition of TNF-α and JNK Signaling Pathway Can Reduce Paclitaxel-Induced Apoptosis of Mouse Cardiomyocytes by Shuang Ren, Tianwen Huang, Danyan Ou, Luhuai Feng, Sisi Huang, Chaonan Zhou, Lianying Ge

    Published 2022-01-01
    “…Further analyses of the TNF-α level and the expression of Jun N-terminal kinase (JNK) and Bcl-2 family-related proteins in myocardial tissue were performed. …”
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  13. 22873

    Colesterolemia de riesgo by Carlos Gaimetea Castillo, Marcos D. Iraola Ferrer

    Published 2010-12-01
    “…Patients’ actions in order to reduce cholesterol levels are described. Finally, instructions to use drugs that reduce lipoproteins levels are provided.…”
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  14. 22874

    Critical parameters for robust Agrobacterium‐mediated transient transformation and quantitative promoter assays in Catharanthus roseus seedlings by Lauren F. Cole‐Osborn, Emma Meehan, Carolyn W. T. Lee‐Parsons

    Published 2024-06-01
    “…Agrobacterium in exponential compared with stationary phase increased transformation efficiency by two‐fold. Finally, we quantified the variation in our Agrobacterium‐infiltration method in replicate infiltrations and experiments. …”
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  15. 22875

    Advanced Malware Detection: Integrating Convolutional Neural Networks with LSTM RNNs for Enhanced Security by Balsam Ridha Habeeb Alsaedi

    Published 2024-12-01
    “…Although we extracted 1,000 features, we trimmed the list to 120 features using linear discriminant analysis for more efficient and effective classification. Finally, we trained an LSTM network with the extracted features. …”
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  16. 22876

    RIPK3-Mediated Necroptosis and Neutrophil Infiltration Are Associated with Poor Prognosis in Patients with Alcoholic Cirrhosis by Zhenzhen Zhang, Guomin Xie, Li Liang, Hui Liu, Jing Pan, Hao Cheng, Hua Wang, Aijuan Qu, Yan Wang

    Published 2018-01-01
    “…Recent data suggests that receptor-interacting protein kinase-3- (RIPK3-) mediated necroptosis plays an important role in alcoholic cirrhosis. …”
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  17. 22877

    Mechanism of Vibration Energy Action on Dynamic Instability of Shock-Type Rockburst Carrier System by Lyu Pengfei, Cui Xuekai

    Published 2020-01-01
    “…Then, this criterion was verified by three typical cases. Finally, based on the distribution conditions of “red seam” overburden in the Yanzhou mining area of China, the secondary triggering principle of rockburst was expounded, that is, the secondary triggering principle of rockburst caused by the shear fracture and sliding settlement of “red seam” overburden. …”
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  18. 22878

    Plac8 regulates the fibrogenic ability of cardiac fibroblasts in mice with myocardial infarction by Ting Fu, Jianping Gong, Lei Xu, Ningning Ji

    Published 2024-12-01
    “…Through bioinformatics analysis, Plac8 was finally identified as a key gene related to fibroblasts. …”
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  19. 22879

    Genome biology of long non-coding RNAs in humans: A virtual karyotype by Alessandro Palma, Giulia Buonaiuto, Monica Ballarino, Pietro Laneve

    Published 2025-01-01
    “…Additionally, we observed that lncRNAs generally exhibit shorter gene lengths and fewer splicing variants compared to protein-coding transcripts, with a subset displaying pronounced clustering patterns that may indicate functional relevance. Finally, we identified several clinically associated and experimentally validated SNPs impacting lncRNA genes (lncGs). …”
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  20. 22880

    Prediction of High-ozone Events Using GAM, SMOTE, and Tail Dependence Approaches in Texas (2005–2019) by Benjamin Brown-Steiner, Xiong Zhou, Matthew J. Alvarado, Brook T. Russell

    Published 2021-07-01
    “…We also find that the tail dependence approach is capable of predicting extreme ozone events, but algorithmic stability and configuration complexity can make this approach difficult to operationalize on a broad scale and that the selection of the threshold needs to be carefully considered. Finally, the feature selection via the tail dependence method performs comparably to other forms of machine learning-based feature selection and we find that there are multiple parameter sets that can predict MDA8 O3 with equal success.…”
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