Comparison of measured contact angle of ferrofluid droplets on hydrophilic and hydrophobic surfaces. by Amirhossein Favakeh (21417884)

Subjects:

Variations of (a) non-dimensional diameter and (b) the frequency of droplet generation in terms of the tilting angle for different water flow rates. by Amirhossein Favakeh (21417884)

Subjects:

eQTL analysis of significant SNPs. by Dai Nogimura (21445649)

Subjects:

Significant associations in the candidate gene approach. by Dai Nogimura (21445649)

Subjects:

Stepped-Wedge Trial Diagram. by Sugy Choi (800862)

“…In New York State, synthetic opioids significantly contribute to the increasing overdose deaths, disproportionately impacting Black and Latinx communities. …”

Enrichment Analysis Based on Ferroptosis-Related Differentially Expressed Genes. by Jiyong Zhang (2498740)

Distribution of <i>L</i>(<i>p</i>) with an absolute error when a single observation is randomly sampled at each time point, with the smallest observation (blue) and the largest obs... by Hyeontae Jo (20469463)

Cinacalcet administered early in the inactive phase markedly decrease parathyroid Ki-67 index. by Søren Egstrand (10906087)

Development of a CRISPR/Cas-Based Detection Platform for Tracking Decreased Susceptibility to Cephalosporins in Neisseria gonorrheae by Ziyuan Zhao (2889005)

Schematic representation of the study protocol. by Neng Pan (5262032)

Subjects:

Schematic arrangement of lamp beads in the rectangular-shaped LED module. by Fei Li (143236)

Subjects:

Suggestive significant associations in the candidate gene approach. by Dai Nogimura (21445649)

Subjects:

Join-point regression analysis of the statistically significant linear increase in use of anxiolytics, psychostimulants and noot ropic drugs, sedatives and hypnotics, gabapentinoid... by Jelena Filimonovic (22305307)

Subjects:

Comparison of step rate, step length, stance time, and flight time between tasks in eight intervals from the start to the 40 m mark. by Shinnosuke Hase (20917896)

Generated spline library. 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.…”

Correlation coefficient matrix. 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 learning rate. 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 training 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.…”

Assembly process of machine recognition form. 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.…”

Process of steel truss incremental launching. 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.…”