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  1. 75661
    “…Finally, the most powerful classifier using DRIVE was evaluated on a benchmark dataset, which showed a better overall performance compared to other state-of-the-art methodologies, however, considerable care must be taken due to the reduced size of the dataset. …”
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    Identifying Cancer Drivers Using DRIVE: A Feature-Based Machine Learning Model for a Pan-Cancer Assessment of Somatic Missense Mutations
  2. 75662
    “…Several bioinformatics methods were used to find the most dangerous nsSNPs that could affect CCBE1 structure and function. Using state-of-the-art in silico tools, this study examined the most pathogenic nonsynonymous single-nucleotide polymorphisms (nsSNPs) that disrupt the CCBE1 protein and extracellular matrix remodeling and migration. …”
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    Predicting the Most Deleterious Missense Nonsynonymous Single-Nucleotide Polymorphisms of Hennekam Syndrome-Causing CCBE1 Gene, In Silico Analysis
  3. 75663
    “…TiO(2) NPs were physically characterized by ultraviolet-visible (UV–Vis) spectroscopy, dynamic light scattering (DLS), transmission electron microscopy (TEM), scanning electron microscope (SEM), X-ray powder diffraction (XRD), and Fourier-transform infrared spectroscopy (FTIR) as routine state-of-the art techniques. The synthesized TiO(2) NPs were then evaluated for their cytotoxicity (by MTT, FACS, and oxidative stress assays) in 4T1 breast tumor cells, and their hemocompatibility (by hemolysis assay). …”
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    Breast Cancer Inhibition by Biosynthesized Titanium Dioxide Nanoparticles Is Comparable to Free Doxorubicin but Appeared Safer in BALB/c Mice
  4. 75664
    “…METHODS: A facility-based retrospective cohort study was conducted at Public hospitals in Southern Ethiopia with a total of 286 randomly selected records of ART enrolled children from 1st January 2009 to 31(st)December 2018. …”
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    Incidence and predictors of mortality among children co-infected with tuberculosis and human immunodeficiency virus at public hospitals in Southern Ethiopia
  5. 75665
    “…In this paper, we evaluate the performance of various distributed storage engines for processing large-scale spatial data using GeoSpark, a state-of-the-art distributed spatial data processing system running on top of Apache Spark. …”
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    A comparative experimental study of distributed storage engines for big spatial data processing using GeoSpark
  6. 75666
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    Repurposing FDA approved drugs as radiosensitizers for treating hypoxic prostate cancer
  7. 75667
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    Association Between Bone Mineral Density and Autoantibodies in Patients With Rheumatoid Arthritis
  8. 75668
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    Nonsteroidal Antiinflammatory Drugs and Susceptibility to COVID‐19
  9. 75669
    “…RESULTS AND DISCUSSION: Virus sequences derived from thirteen ART‐treated virologically suppressed participants with HIV were studied. …”
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    HIV‐1 proviral landscape characterization varies by pipeline analysis
  10. 75670
    “…We show that compared to published libraries prepared by state-of-the-art protocols, METa assembly is on average ca. 20- to 200-fold more efficient and can prepare gigabase-sized libraries with as little as 200 ng of input DNA. …”
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    Mosaic Ends Tagmentation (METa) Assembly for Highly Efficient Construction of Functional Metagenomic Libraries
  11. 75671
    “…Health care professionals should have to strengthen the linkage of mental health with antiretroviral therapy (ART) clinic to early detect and treat depressive symptoms.…”
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    Prevalence of Depressive Symptoms and Its Associated Factors among People Living with HIV Attending Public Hospitals of Nekemte Town, Western Ethiopia, 2021
  12. 75672
    “…Data collection is achieved using QGIS software to interpolate contour, elevation, slope degree and land cover from the Google satellite images, aerial and site survey photographs while the physiographic and rock type are on-site surveyed by experts. The state-of-the-art machine learning models have been trained i.e., linear regression (LR), artificial neural network (ANN), LSTM, and Bi-LSTM. …”
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    Automated Landslide-Risk Prediction Using Web GIS and Machine Learning Models
  13. 75673
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    Quantitative evaluation of deep convolutional neural network-based image denoising for low-dose computed tomography
  14. 75674
    “…METHOD: The study involved secondary data analysis from the Malaysian Health and Adolescents Longitudinal Research Team (MyHeART) study. A closed cohort secondary data analysis was performed from the dynamic cohort of 528 adolescents (male = 151; female = 377) aged 13 years attending secondary school who were followed up at 15 and 17 years. …”
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    The longitudinal relationship between nutritional status and anaemia among Malaysian adolescents.
  15. 75675
    “…In addition, the proposed method significantly outperforms the two state-of-the-art deep learning methods, i.e., U-Net and SegNet, in terms of accuracy, recall, F1-score, and Jaccard-Index ([Formula: see text]). …”
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    Deep Learning Fast Screening Approach on Cytological Whole Slides for Thyroid Cancer Diagnosis
  16. 75676
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    Tissue‐Resident Memory CD8+ T Cells From Skin Differentiate Psoriatic Arthritis From Psoriasis
  17. 75677
    “…The proposed network is benchmarked with 12 other state-of-the-art CNN models that have been designed and tuned specially for COVID-19 detection. …”
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    Residual-Shuffle Network with Spatial Pyramid Pooling Module for COVID-19 Screening
  18. 75678
    “…The proposed method measured well against the state of the art in 2D visual-based skill assessment, with more than 80% accuracy for all three surgical subtasks available in JIGSAWS (Knot-Tying, Suturing and Needle-Passing). …”
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    Endoscopic Image-Based Skill Assessment in Robot-Assisted Minimally Invasive Surgery
  19. 75679
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    Humoral and Cellular Immune Responses to SARS–CoV‐2 Infection and Vaccination in Autoimmune Disease Patients With B Cell Depletion
  20. 75680
    “…The purpose of the paper is to present a broad albeit synthetic overview of the numerous issues inherent in the above rain monitoring approach, along with a number of solutions and algorithms proposed in the literature in recent years, and ultimately to provide an exhaustive account of the current state of the art. Initially, the main relevant aspects of the satellite link are reviewed, including those related to satellite dynamics, frequency bands, signal formats, propagation channel and radio link geometry, all of which have a role in rainfall rate estimation algorithms. …”
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    Opportunistic Rain Rate Estimation from Measurements of Satellite Downlink Attenuation: A Survey
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