Form for machine recognition. by Zhe Hu (787283)

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”

RMSE versus architectural parameters. by Zhe Hu (787283)

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”

Kalman process. by Zhe Hu (787283)

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”

Attention mechanism. by Zhe Hu (787283)

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”

Cardiac valve malformation impacts crawling and movement of larvae. by Christian Meyer (6035)

Development of hamstring strength throughout the LIST. by Dominic Michael Rasp (19959412)

Development of the limb symmetry index (LSI) over the course of the LIST. by Dominic Michael Rasp (19959412)

Fig 3 - by Maha Rehman (17114332)

Growth of <i>Spirulina</i> spp. at 450nm for different temperature. by Maha Rehman (17114332)

Fig 5 - by Maha Rehman (17114332)

Fig 4 - by Maha Rehman (17114332)

The results of curve fitting analysis. by Hai-bo Ai (20790405)

Droplet-based microfluidics can be used to model clustered bacterial growth. by Justin Greene (306625)

Baseline characteristics of the study sample^βμ. by Osama Mohamed Ibrahim (12006954)

“…Pharmacists in Active Group A (37.2%) and Active Group B (32.3%) most commonly intervened by recommending the cessation of medication, while the most common intervention in the Control Group was recommending a decrease in dose (29.8%). The mean cost reduction per patient was highest in Active Group A (31.3 ±11.8 $), followed by Active Group B (20.8 ±8.6 $) and the Control Group (19.6 ±9.5 $). …”

The flow diagram of the study (CONSORT, 2010). by Osama Mohamed Ibrahim (12006954)

“…Pharmacists in Active Group A (37.2%) and Active Group B (32.3%) most commonly intervened by recommending the cessation of medication, while the most common intervention in the Control Group was recommending a decrease in dose (29.8%). The mean cost reduction per patient was highest in Active Group A (31.3 ±11.8 $), followed by Active Group B (20.8 ±8.6 $) and the Control Group (19.6 ±9.5 $). …”

The concentration of inflammatory parameters (TNF-α and IL-10) in serum (a and b) and burned skin samples (c) of different experimental groups on day 2 and 10. by Omid Mehrpour (9385929)

Serum concentrations of malondialdehyde (a) and super oxide dismutase (b) and NOx (nitrate +nitrite) (c) in different experimental groups on day 2 and 10. by Omid Mehrpour (9385929)

The concentrations of malondialdehyde (a), super oxide dismutase (b), and NOx (nitrate +nitrite)(c) in the burned skin samples of different experimental groups on day 2 and 10. by Omid Mehrpour (9385929)

Renal (urea and creatinine) (a, b) and Liver function (ALT and AST) (c, d) test in serums of different experimental groups and body weight changes (e) on day 10. by Omid Mehrpour (9385929)

Data Sheet 1_Impact of multiple environmental factors on influenza–like illness in Fujian Province, China, 2015–2023: a multicity study.zip by Xiaoyan Yao (8723622)

“…The NO₂–ILI association was non–linear, resembling an inverted “U” shape, with a risk peak at 40.5 μg/m³. …”