Proteomic Plasticity in the Coral Montipora capitata Gamete Bundles after Parent Thermal Bleaching by Emma B. Timmins-Schiffman (4349209)

“…Coral reefs are vital to marine biodiversity and human livelihoods, but they face significant threats from climate change. Increased ocean temperatures drive massive “bleaching” events, during which corals lose their symbiotic algae and the important metabolic resources those algae provide. …”

Proteomic Plasticity in the Coral Montipora capitata Gamete Bundles after Parent Thermal Bleaching by Emma B. Timmins-Schiffman (4349209)

“…Coral reefs are vital to marine biodiversity and human livelihoods, but they face significant threats from climate change. Increased ocean temperatures drive massive “bleaching” events, during which corals lose their symbiotic algae and the important metabolic resources those algae provide. …”

Proteomic Plasticity in the Coral Montipora capitata Gamete Bundles after Parent Thermal Bleaching by Emma B. Timmins-Schiffman (4349209)

“…Coral reefs are vital to marine biodiversity and human livelihoods, but they face significant threats from climate change. Increased ocean temperatures drive massive “bleaching” events, during which corals lose their symbiotic algae and the important metabolic resources those algae provide. …”

Proteomic Plasticity in the Coral Montipora capitata Gamete Bundles after Parent Thermal Bleaching by Emma B. Timmins-Schiffman (4349209)

“…Coral reefs are vital to marine biodiversity and human livelihoods, but they face significant threats from climate change. Increased ocean temperatures drive massive “bleaching” events, during which corals lose their symbiotic algae and the important metabolic resources those algae provide. …”

Proteomic Plasticity in the Coral Montipora capitata Gamete Bundles after Parent Thermal Bleaching by Emma B. Timmins-Schiffman (4349209)

“…Coral reefs are vital to marine biodiversity and human livelihoods, but they face significant threats from climate change. Increased ocean temperatures drive massive “bleaching” events, during which corals lose their symbiotic algae and the important metabolic resources those algae provide. …”

Kernel shapes and phonetic information. by Andrés Lozano (20489256)

“…The kernel shape had a significant impact for -dynamic utterances (p < .000) exclusively. …”

Generated spline library. by Zhe Hu (787283)

“…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”

Correlation coefficient matrix. by Zhe Hu (787283)

“…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”

RMSE versus learning rate. by Zhe Hu (787283)

“…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”

RMSE versus training parameters. by Zhe Hu (787283)

“…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”

Assembly process of machine recognition form. by Zhe Hu (787283)

“…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”

Process of steel truss incremental launching. by Zhe Hu (787283)

“…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”

CGAN and AutoML stacking device. by Zhe Hu (787283)

“…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”

U-wave estimates versus R-matrix noise variance. by Zhe Hu (787283)

“…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”

Sliding window process. by Zhe Hu (787283)

“…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”

Assembly error angle of a single spline. by Zhe Hu (787283)

“…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”

Original record form of error matrix. by Zhe Hu (787283)

“…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”

Form for machine recognition. by Zhe Hu (787283)

“…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”

RMSE versus architectural parameters. by Zhe Hu (787283)

“…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”

Kalman process. by Zhe Hu (787283)

“…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”