The mean and standard error of take-over reaction time for type A, type B, and type C autonomous driving information display types under various scenario complexities. by Chengmin Zhou (14554562)

Table 1_Effect of decreased suspended sediment content on chlorophyll-a in Dongting Lake, China.docx by Le Zhang (88249)

“…Additionally, a significant correlation between Chl-a concentration and SSC was found. …”

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

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

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Flowchart of patient selection in this study. by Kazuyoshi Ohkawa (836847)

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S1 Data - by Kazuyoshi Ohkawa (836847)

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Clinical course of patient no. by Kazuyoshi Ohkawa (836847)

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Effect of different doses (mg/Kg) of the defatted extract (DE) of the leaves of <i>S. malaccense</i> and <i>S. samarangense</i> on serum ALT and AST levels. Data represented as mea... by Fatma A. Moharram (9276104)

Mean amplitude of the Slow Delta Envelope and period of Slow Delta oscillations in the disconnected hemisphere, compared with respect to wakefulness and NREM sleep in the reference... by Michele Angelo Colombo (22446342)

The performance of eigenvectors of the covariance matrix in a model with more complex population structure. by Joshua G. Schraiber (8027060)

Results of normal and wide step width (cm). by Fateme Khorramroo (18086501)

“…These results should be considered when using a wide step width as a gait retraining method for managing flat-footed individuals.…”

Comprehensive prediction process of shape errors. 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.…”

Shape error manual calculation 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.…”

Shape error measurement results statistics. 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.…”

Chlorophyll a content (A), Chlorophyll b content (B), total Chlorophyll content(C), and Chlorophyll ratio (D) of M. stenopetala leaves under the effect of different PEG concentrati... by Nadia Khater (22553166)

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Marginal means – Pooled across scenarios. by Mehdi Mourali (10170245)

“…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”

Comparison of serum VEGF-A165 concentrations pre-bevacizumab administration in patients with increased VEGF-A post-bevacizumab administration and those with decreased VEGF-A. by Masashi Okawa (8951294)

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Effect of each software transition and any hardware transition on daily active calories (negative binomial models with a random intercept per participant) among participants with a... by Shelby L. Sturrock (10751675)

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Effect of each software transition and any hardware transition on daily minutes of exercise (negative binomial models with a random intercept per participant) among participants wi... by Shelby L. Sturrock (10751675)

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Fabric anisotropy evolution of numerical samples with different shapes and sizes. by Yongfeng Zhu (7361045)