Predicted results of the TCCT [4] network. by Fan Yang (1413)

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Visualized results of different boundary labels. by Fan Yang (1413)

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Task procedure. by George Zacharopoulos (5660800)

“…<p>Calculation and drill problems were presented to the participants in different blocks on each learning day (see Materials and methods). <b>(A)</b> Calculation problems (denoted by “§”) began with the presentation of a problem, a brief mask, and an unlimited input duration. …”

Moran’s I value, Z value and P value of CCD-GFEE. by Dalai Ma (17847101)

“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”

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

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S1 File - by Chantelle M. de Vet (16535257)

“…Repeated measurements analysis showed a significant decrease in variability of the LV- and RV-GLS score differences between the expert and trainees over time (<i>p</i>_adj<0.001), which was not significantly different between trainees. …”

Forest plot and volcano plot of ROR values (95% CI) for the first 30 high signal intensity AEs of penicillamine versus trientine. by Wenlong Qian (22608053)

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DLS mGluR1/5 signaling activation in instrumental conditioning and differential behavioral sensitivity to A–O changes with training duration. by Vincent Paget-Blanc (21807763)

Baseline Characteristics of Study Participants. by Swati M. Surkar (8399427)

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Raw and processed data files. by Swati M. Surkar (8399427)

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CONSORT flow diagram of participant enrollment and retention. by Swati M. Surkar (8399427)

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A visual comparison of the associated resistance data from Table 1 with the values of <i>k</i>_cat, <i>K</i>_M, catalytic efficiency (<i>k</i>_cat/<i>... by J. Roadnight Sheehan (20141887)

Performance in a reversal task of rats and of networks trained with RECOLLECT. by Alexandra R. van den Berg (20490255)

“…<p>(A) Learning decreases the number of errors that rats make on a reversal bandit task (data from [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0316453#pone.0316453.ref042" target="_blank">42</a>]). …”

The MAE value of the model under raw data. by Xiangjuan Liu (618000)

“…<div><p>This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. …”

Three error values under raw data. by Xiangjuan Liu (618000)

“…<div><p>This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. …”

Deep reinforcement learning agents trained using a curriculum solve navigation tasks with delayed rewards. by William L. Tong (22238845)

“…C: ADP outperforms INC and RAND (each teacher-student interaction is a step). The agent does not learn the task without a curriculum. …”

<i>r</i>² values for <i>α</i> relationships. by James Cushway (19942288)

The multiple criteria qualitative value-based pricing framework “MARIE” for new clinical status by Akina Takami (16407200)

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

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