Table_3_Adaptive Algorithms as Control Strategies of Smart Upper Limb Orthosis: A Protocol for a Systematic Scoping Review.DOCX by Ledycnarf J. Holanda (10761786)

Subjects:

HIV exposure risk algorithm. HIV exposure risk algorithm based on available data from the Tonse Padmozi trial. by Anna M. Leone (22486372)

The SCOPer algorithm can be run efficiently on multiple cores. by Nima Nouri (2183760)

Analysis pipelines & features. A comparison of features and functions for cellular image analysis software packages. by Teresa W. Lo (21440277)

Geometric interpretation and data visualisation equivalent describing the DI algorithmic pipeline. by Borjan Milinkovic (21349908)

RRMSE and SSIM values of reconstructed images by the proposed algorithms and the compared methods for the first and second study cases and the noisy data. by Mona Selim (12969227)

Subjects: “…Cell Biology…”

Analysis of the limit cases of the sampling function. by Greta Grassmann (12418506)

Subjects:

Flowchart of P&O-based MPPT algorithm. by Luqman Khan (17921419)

Volcano plot for gene expression levels of cells in cluster 1 (putative thorny cells) vs. cells in cluster 2 (putative a-thorny cells). by Daniele Linaro (227790)

Subjects:

Immune microenvironment (A) Comparison of immune cell infiltration between the high-risk and low-risk groups using the ssGSEA algorithm. by Chengting Wu (21485612)

“…<p>(B) Comparison of immune function between the high-risk and low-risk groups using the ssGSEA algorithm. …”

Construction of the PRG score index using integrated machine learning algorithms. by Xiangxin Wu (22320058)

Subjects:

Data_Sheet_1_Adaptive Algorithms as Control Strategies of Smart Upper Limb Orthosis: A Protocol for a Systematic Scoping Review.PDF by Ledycnarf J. Holanda (10761786)

Subjects:

Data_Sheet_3_Adaptive Algorithms as Control Strategies of Smart Upper Limb Orthosis: A Protocol for a Systematic Scoping Review.PDF by Ledycnarf J. Holanda (10761786)

Subjects:

Data_Sheet_4_Adaptive Algorithms as Control Strategies of Smart Upper Limb Orthosis: A Protocol for a Systematic Scoping Review.PDF by Ledycnarf J. Holanda (10761786)

Subjects:

Data_Sheet_2_Adaptive Algorithms as Control Strategies of Smart Upper Limb Orthosis: A Protocol for a Systematic Scoping Review.PDF by Ledycnarf J. Holanda (10761786)

Subjects:

The proposed method for protein function prediction. by Seyyede Fatemeh Seyyedsalehi (10196767)

Subjects:

Conservation and functional variation across TcdB subtypes. by Michael J. Mansfield (9922934)

Brief sketch of the quasi-attraction/alignment algorithm. by Takayuki Niizato (162226)

“…The red and black arrows indicate the focal agent and its neighbor, respectively, while the green arrow indicates the next direction. (B) A sketch of the cover function, which returns the minimum cap on the interaction sphere , which covers all points <b><i>p</i></b>_<i>i</i> (for the mathematical definition, see the Section 2 in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010869#pcbi.1010869.s008" target="_blank">S1 Appendix</a>). …”

Data_Sheet_1_Prediction of motor function in patients with traumatic brain injury using genetic algorithms modified back propagation neural network: a data-based study.docx by Hui Dang (4396087)

“…</p>Conclusion<p>The genetic algorithms modified back propagation neural network can predict motor function in patients with traumatic brain injury, which can be used as a reference for risk and prognosis assessment and guide clinical decision-making.…”

Data_Sheet_1_Prediction of motor function in patients with traumatic brain injury using genetic algorithms modified back propagation neural network: A data-based study.docx by Hui Dang (4396087)

“…</p>Conclusion<p>The genetic algorithms modified back propagation neural network can predict motor function in patients with traumatic brain injury, which can be used as a reference for risk and prognosis assessment and guide clinical decision-making.…”