The linearly decreasing convergence factor a. by Junhao Wei (6816803)

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

Subjects:

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. by Cristina Dolciotti (16317330)

Subjects:

Baseline patient characteristics. by Oscar F. C. van den Bosch (22184246)

Subjects:

Effects of s-ketamine and midazolam on respiratory parameters. by Oscar F. C. van den Bosch (22184246)

Subjects:

Flow chart of the study participants. by Oscar F. C. van den Bosch (22184246)

Subjects:

Changes in baseline T-cell activation markers through week 12 and week 24 according to the linear regression model. a. by Tosi M. Mwakyandile (16408705)

Subjects:

Changes in baseline T-cell exhaustion, monocyte activation and platelet activation markers through week 12 and week 24 according to the linear regression model. a. by Tosi M. Mwakyandile (16408705)

Subjects:

Larger example of stimuli with cue relevant for Task 3. by Marcel F. Hinss (14675457)

Volitional control frequency and intensity in VH (Kapsner-Smith et al., 2025) by Mara R. Kapsner-Smith (22139315)

“…<i>Journal of Speech, Language, and Hearing Research, </i><i>68</i>(10), 4736–4748. <a href="https://doi.org/10.1044/2025_JSLHR-25-00182" rel="noreferrer" target="_blank">https://doi.org/10.1044/2025_JSLHR-25-00182</a></p>…”

Changes in baseline CD4 count through week 12 and week 24 according to the linear regression model. by Tosi M. Mwakyandile (16408705)

Subjects:

Establishment of cBu-1 BAC16 for the isolation of reactivated cell population. by Tomoki Inagaki (12903779)

Subjects:

Means scores of CAM and CAM-MYCS. by Senay Yildirim-Kahriman (22693464)

“…A moderate negative correlation was observed between CAM and CAM-MYCS scores (r = −0.511; p < 0.001), indicating that increased awareness of real causes is associated with decreased belief in myths. …”

A Locally Linear Dynamic Strategy for Manifold Learning. by Weifan Wang (4669081)

“…For 10-30% noise, where the Hebbian network employs a local linear transform, learning selectively increases signal direction alignment (blue) while simultaneously decreasing noise direction alignment (orange). …”

Biases in larger populations. by Sander W. Keemink (21253563)

“…(<b>B</b>) Minimum and maximum bias in a long 1D array with rectified cosine tuning. Bias expressed in terms of the distance between neurons in a linear population of equally spaced neurons. …”

Study-related adverse events. by Benjamin R. Lewis (22279166)

Subjects:

Study flow chart. by Benjamin R. Lewis (22279166)

Subjects:

Study CONSORT diagram. by Benjamin R. Lewis (22279166)

Subjects:

Estimation of the coefficients of a generalised linear model of posttraumatic stress symptomatology. by Beatriz Arregui-Gallego (21553735)

Why does task performance decrease with burst length? by Swathi Anil (17382903)