Quantification of GFP::2xFLAG::SEM-2 expression during M lineage development. حسب Marissa Baccas (20592105)

Stable platform with closed eyes. حسب Magdalena Podczarska-Głowacka (21560120)

"…The NHE Group performed Nordic hamstring exercise training for 4 weeks, during which the volunteer exercised 3 times a week for 3 sets, each set consisting of 3 repetitions of NHE. …"

Subject’s characteristics (mean ± SD). حسب Magdalena Podczarska-Głowacka (21560120)

"…The NHE Group performed Nordic hamstring exercise training for 4 weeks, during which the volunteer exercised 3 times a week for 3 sets, each set consisting of 3 repetitions of NHE. …"

Discriminating wake vs. NREM sleep from individual spike train measures. حسب Fabiano Baroni (234173)

"…<p>A: Univariate decoding accuracies for one recording for each MSTM of the core set of 46 MSTMs. …"

Correlation between each MSTM and each generative parameter. حسب Fabiano Baroni (234173)

The system dynamics model behind the behavioral game is displayed here where all players’ decisions at the beginning of each round of the game affect the common pool groundwater re... حسب Kat Demaree (16274130)

Effect size distribution and intersections of transcript usage response upon stimulation with <i>M</i>. <i>leprae</i> sonicate by T1R-free (LEP) and T1R-destined (T1R) leprosy pati... حسب Wilian Correa-Macedo (11813183)

"…The bar chart on the bottom left indicates the total number of increased (over) or decreased (under) transcript usage by the two groups, while the bottom panel identifies how sets intersected. …"

Supplementary Material for: Effects of a Sugar-Sweetened Beverages Tax on Caries in Italy: a Modelling Study. حسب figshare admin karger (2628495)

"…Conclusion: Integrating a sugar tax into a broader public health strategy can significantly reduce caries and healthcare costs, especially in disadvantaged settings. …"

R project including metadata update. حسب Frederik Stein (22146203)

Classes of errors and gaps in BOLD metadata. حسب Frederik Stein (22146203)

Relationships between clay and quartz content, TOC, 2D-NMR solid OM, S₁, 2D-NMR light oil and fractal dimensions. حسب Changjun Ji (18285907)

Stress responses to different light colours. حسب Solène Guenat (12187937)

Supplementary Material for: The Effectiveness of a Hospital-Based Antimicrobial Stewardship Program: A Three-Year Observational Study حسب figshare admin karger (2628495)

"…Indicators included antibiotic use defined dailydoses (DDD), days of therapy (DOT), policy compliance, resistance rates, and clinical outcomes. Statistical significance was set at p<0.05. Results: Overall antibiotic use decreased, with DDD/1000 patient-days declining from 2599.3 to 2413.3 with p=0.974>0.05 and DOT from 1474.4 to 1394.6 with p=0.991>0.05. …"

Flow chart of the study participants. حسب Milton W. Musaba (8431944)

"…We assessed the feasibility and acceptability of using them together for neonatal resuscitation in a low-resource setting.</p><p>Methods</p><p>This was a mixed methods study conducted over a period of 11 months at Mbale Hospital in Uganda. …"

Suggested modifications for the BabySaver. حسب Milton W. Musaba (8431944)

"…We assessed the feasibility and acceptability of using them together for neonatal resuscitation in a low-resource setting.</p><p>Methods</p><p>This was a mixed methods study conducted over a period of 11 months at Mbale Hospital in Uganda. …"

Generated spline library. حسب Zhe Hu (787283)

"…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …"

Correlation coefficient matrix. حسب Zhe Hu (787283)

"…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …"

Actual measurement of shape errors. حسب Zhe Hu (787283)

"…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …"

RMSE versus learning rate. حسب Zhe Hu (787283)

"…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …"

RMSE versus training parameters. حسب Zhe Hu (787283)

"…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …"