Data Sheet 2_Transcriptome analysis reveals regulatory mechanism of methyl jasmonate-induced monoterpenoid biosynthesis in Mentha arvensis L..pdf by Tingting Huang (496866)

“…In this study, exogenous application of MJ significantly increased the EO content, yield, and PGT density in a dose-dependent manner. …”

Data Sheet 4_Transcriptome analysis reveals regulatory mechanism of methyl jasmonate-induced monoterpenoid biosynthesis in Mentha arvensis L..pdf by Tingting Huang (496866)

“…In this study, exogenous application of MJ significantly increased the EO content, yield, and PGT density in a dose-dependent manner. …”

Data Sheet 5_Transcriptome analysis reveals regulatory mechanism of methyl jasmonate-induced monoterpenoid biosynthesis in Mentha arvensis L..pdf by Tingting Huang (496866)

“…In this study, exogenous application of MJ significantly increased the EO content, yield, and PGT density in a dose-dependent manner. …”

Data Sheet 3_Transcriptome analysis reveals regulatory mechanism of methyl jasmonate-induced monoterpenoid biosynthesis in Mentha arvensis L..pdf by Tingting Huang (496866)

“…In this study, exogenous application of MJ significantly increased the EO content, yield, and PGT density in a dose-dependent manner. …”

Data Sheet 6_Transcriptome analysis reveals regulatory mechanism of methyl jasmonate-induced monoterpenoid biosynthesis in Mentha arvensis L..pdf by Tingting Huang (496866)

“…In this study, exogenous application of MJ significantly increased the EO content, yield, and PGT density in a dose-dependent manner. …”

Spectral shift of fluorophore NHS-esters. by Hyunwoo Kim (690467)

“…After 5 min of illumination with a 561-nm excitation laser, the fluorescence signal in the 647-nm detection channel decreased, while the signal in the 561-nm detection channel significantly increased, indicating a spectral blue-shift of the emission spectrum. …”

<b>Comparison of NMR spectra of three layers</b> by wenxin yan (19933998)

“…This intricate reservoir structure significantly restricts fluid flow within the reservoir, necessitating a certain threshold pressure gradient (TPG) to be overcome before flow can commence. …”

Da-Yuan-Yin decoction suppresses NETs formation, inhibits the IL-23/JAK2/STAT3 signalling pathway, and modulates metabolic profiles and gut microbiota composition in damp-heat synd... by Yun Yang (417125)

“…Complete blood count (CBC), blood biochemistry, short-chain fatty acids (SCFAs), gut microbiota composition in the colon, and metabolites in the cecum were analyzed.</p> <p>DYY significantly reduced symptom scores and decreased CRP level, while also regulating parameters in CBC and biochemical profiles. …”

Data from: Microbial necromass carbon drives soil organic carbon accumulation during long-term vegetation succession by Ziwen Zhao (20645708)

“…The contribution of MNC to SOC was high and increased significantly with vegetation succession, whereas the proportion of plant-derived C and GRSP in SOC consistently decreased. …”

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.…”

Actual measurement 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.…”

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.…”

CGAN and AutoML stacking device. 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.…”

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.…”

U-wave estimates versus R-matrix noise variance. 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.…”