Overview of the six original ACTIV-3/TICO trials. by Elizabeth S. Munroe (21568166)

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

Results of Multiple Linear Regression. by Benjamin S. Killen (22766029)

“…We then used multiple linear regressions to examine spatiotemporal mechanisms underlying gait speed changes across terrains. …”

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:

Participants characteristics. by Sakiko Fukui (387048)

“…Cluster analysis classified 4 clusters of decline in food intake changes during the last 6 months before death: immediate decrease (n = 14); decrease from 1 month before death (n = 24); decrease from 3 months before death (n = 7); and gradual decrease for 6 months before death (n = 24).…”

A flow diagram of the study entry. by Sakiko Fukui (387048)

“…Cluster analysis classified 4 clusters of decline in food intake changes during the last 6 months before death: immediate decrease (n = 14); decrease from 1 month before death (n = 24); decrease from 3 months before death (n = 7); and gradual decrease for 6 months before death (n = 24).…”

Mean KAP scores and standard deviation at different assessment times. by Chikondi Maluwa (20660522)

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)

“…</p><p dir="ltr"><b>Method: </b>Twenty-six people with HVDs and 26 matched controls participated in tasks to assess the smallest volitional increases and decreases they could make in vocal <i>F</i>0 and intensity. …”

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

Subjects:

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. …”

ONSD at T14 and six months after ICU discharge. by Marco Carbonara (11483575)

Subjects:

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

Mean Values and Standard Deviations (Mean [±SD]) of Clinical Parameters: periodontal probing depth (PPD), clinical attachment level (CAL), bleeding on probing (BOP), and plaque ind... by Iva Milinkovic (22331710)

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

Linear contact model. by Qingwen Li (1510687)

<b>Supporting data for manuscript</b> "<b>Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins</b>" by Kira Shaw (18796168)

“…The locomotion values (traces and metrics) are in arbitrary units with larger integers representing a greater displacement of the spherical treadmill, the hemodynamic (Hbt) values (traces and metrics) are a percentage change from the normalised baseline (prior to stimulus presentation), and the corresponding time series vector is presented in seconds. …”

Linear regression analysis. by Young Kyu Lee (14076058)