Mostrando 74,781 - 74,800 Resultados de 77,157 Para Buscar '"the arts"', tiempo de consulta: 0.47s Limitar resultados
  1. 74781
    “…To this aim, we compare the structural and electronic features of the three materials by means of a unified theoretical approach based on the state-of-the art density functional theory (DFT). We focus on the calculation of their valence band edge energies and compare such values with those of two widely employed photo-absorbers, i.e., methylammonium lead iodide (MAPI) and the triple cation MAFACsPbBrI in PSCs and P1 and Y123 dyes in DSCs, given that the band alignment and the energy offset are crucial for the charge transport at the interfaces and have direct implications on the final efficiency. …”
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  2. 74782
    “…Moreover, our method outperforms the state-of-the-art IUD estimation methods that rely on users’ location information.…”
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  3. 74783
    “…A 3 T multi-parametric MR protocol including conventional qualitative techniques such as T(1)-, T(2)-, and T(2)*-weighted sequences, as well as state-of-the art quantitative techniques including MP2RAGE T(1) mapping and 3D ihMTRAGE, was used on both brain and cSC. …”
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  4. 74784
    “…The results indicate that the proposed compression methodology performs consistently to create high-quality image compressions, and overall gives a better outcome when compared against two state-of-the-art and widely used methods, JPEG and JPEG2000.…”
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  5. 74785
  6. 74786
  7. 74787
    “…Compared with the state-of-the-art models, which use deep contextualized representation with convolutional neural network (CNN), the proposed model shows significant improvements (2.41%) in the overall performance in terms of the F1score for the LIAR dataset, which is more challenging than other datasets. …”
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  8. 74788
    “…WIDER IMPLICATIONS: ET is the last procedural step in an ART treatment and is a crucial step towards achieving a pregnancy and live birth. …”
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  9. 74789
  10. 74790
    “…It also outperforms existing state-of-the-art cost-sensitive prediction approaches in terms of predictive performance, model cost, and training time. …”
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  11. 74791
  12. 74792
  13. 74793
    “…Furthermore, the performance of PODis, POEng, POE2E and BPGR-ES is compared with existing state-of-the-art graph routing algorithms. The simulation results reveal that the BPGR-ES algorithm achieved 87.53% more balanced energy consumption among sensor nodes in the network compared to other algorithms, and the delivery of data packets of BPGR-ES reached 99.86%, indicating more reliable communication.…”
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  14. 74794
    “…The proposed methodology is split into two parts: (1) single-patient electrophoresis image segmentation by means of the lane extraction technique, and (2) binary classification (normal or abnormal) of the electrophoresis images using state-of-the-art deep convolutional neural networks (CNNs) and using the concept of transfer learning. …”
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  15. 74795
    “…We performed a detailed characterization of the HIV-1 sub-subtype A1 epidemic in Pakistan using state-of-the-art molecular epidemiology and phylodynamics. (2) Methods: A total of 143 HIV-1 sub-subtype A1 gag sequences, including 61 sequences generated specifically for this study from PLHIVs part of our cohort, representing all sub-subtype A1 gag sequences from Pakistan, were analyzed. …”
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  16. 74796
    “…We discuss several state-of-the-art strategies for specific delivery of drugs to brain cancer sites with minimal side effects. …”
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  17. 74797
    “…The research was done in pig farms in the N-E area of Romania, with maximum biosecurity and state-of-the-art technology. All the examined ejaculates (101) were considered to be normal for each spermogram parameter, with microbiological determinations in T0 at the time of ejaculate collection, T1 at the time of dilution, and T2 at 24 h of storage. …”
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  18. 74798
  19. 74799
    “…Here, we summarize the existing body of knowledge on livestock gut microbiome, discuss the state-of-the-art in sequencing techniques, and offer predictions for next research. …”
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  20. 74800
    “…The presented approach showed an improved performance with a 93.83% average sensitivity, a 97.94% average specificity, a 97.38% average accuracy with the SVM classifier, and a 95.89% average detection rate as compared with other state-of-the-art studies such as deep learning. The methods presented in the literature were unable to precisely localize the origination of the seizure activity in the brain region and reported a low seizure detection rate. …”
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