Training-induced changes in bipedal stance. حسب Cristina Dolciotti (16317330)

الموضوعات:

Content analysis of groups with decreased confidence. حسب Yasutaka Yanagita (11105508)

Mean ± SD of the different parameters relative to bipedal stance on soft support with the eyes open recorded in the Chewing and Hand Grip groups. حسب Cristina Dolciotti (16317330)

الموضوعات:

Relation between training-related changes in unipedal and bipedal stance. حسب Cristina Dolciotti (16317330)

الموضوعات:

Time course of Path Length, LFS and Velocity during postural training. حسب Cristina Dolciotti (16317330)

الموضوعات:

Time course of 95% Area, X and Y Amplitude Sway during postural training. حسب Cristina Dolciotti (16317330)

الموضوعات:

Correlations between unipedal and bipedal stance parameters recorded at the beginning of the training and of the control session. حسب Cristina Dolciotti (16317330)

الموضوعات:

Relation of the changes in Y Sway Amplitude and LFS induced by postural training with those in 95% Area. حسب Cristina Dolciotti (16317330)

الموضوعات:

Between-group differences in 95% Area, Y Sway Amplitude and LFS during postural training. حسب Cristina Dolciotti (16317330)

الموضوعات:

Consolidation of training-induced changes in unipedal stance: 95% Area, Y Sway Amplitude and LFS. حسب Cristina Dolciotti (16317330)

الموضوعات:

Consolidation of training-induced changes in unipedal stance: Path Length, X Sway Amplitude and Velocity. حسب Cristina Dolciotti (16317330)

الموضوعات:

Mean ± SD values of unipedal stance parameters evaluated at the different time points of the postural training session. حسب Cristina Dolciotti (16317330)

الموضوعات:

Boxplot comparing Ct values for HD in flies and clothes. حسب Philippe Ndzomo (17706039)

Distribution of scaling factor γ after 100 rounds of sparsity training with different sparsity rates λ. حسب Zhongjian Xie (4633099)

S1 Data. Bibliometric analysis. S2 Data. Estrogen level analysis. S3 Data. MicroCT quantification. S4 Data. Markers of bone metabolism. حسب Yan She (8639796)

Flow diagram. حسب Cristina Dolciotti (16317330)

الموضوعات:

Step parameters for Unsupported Walking (UW), Body Weight Support (BWS, upper panel), Mediolateral Forces (ML, middle panel) and Anteroposterior Forces (AP, lower panel). حسب Sanne Ettema (18786312)

الموضوعات:

Experimental protocol consisting of four blocks (Unsupported Walking (UW), Body Weight Support (BWS), BWS + Mediolateral (ML) Forces, BWS + Anteroposterior (AP) Forces), separated... حسب Sanne Ettema (18786312)

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AdaBoost training flowchart. حسب Yang Guo (399435)

"…HINGO enhances the uniformity of the initial population distribution by means of refraction opposition-based learning strategy in initialization, and improves the local and global search ability of the algorithm by means of sine and cosine strategy, Lévy flight and nonlinear decreasing factor in the search stage. The HINGO-LSSVM-IAdaBoost model is trained and validated on the typical air conditioning fault samples of ASHRAE RP-1043. …"

Skin marks is the S1 Fig title. حسب Mercedes Soto-González (20422078)