Splenocytes from Tcj2 mRNA LNP—Immunized mice decrease <i>T</i>. <i>cruzi</i> infection <i>in vitro</i>. by Leroy Versteeg (4248760)

Effects of the observed significant angular changes at individual joints on the leading toe-obstacle clearance in healthy older adults during dual-task obstacle crossing (black sti... by Shiuan-Huei Lu (22430628)

Effects of the observed significant angular changes at individual joints on the trailing toe-obstacle clearance in healthy older adults during dual-task obstacle crossing (black st... by Shiuan-Huei Lu (22430628)

Optimization of Linear Loading Strategy for Fuel Cell Initiation Based on Gaussian Process Regression Model (Supporting Information) by Jianbin SU (19730371)

Bluetooth beacons with colour coded lanyards. by J Mark Ansermino (13958512)

“…During the baseline period, the time to antimicrobials decreased significantly in Kenya (132 and 58 minutes) at control and intervention sites. …”

Rate of change in salivary amylase pre- and post-VR operation. by Akihiro Kakimoto (343218)

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Difference in by Akihiro Kakimoto (343218)

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Relationship between the change in by Akihiro Kakimoto (343218)

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Increase in multiple-choice question scores pre- and post-VR operation. by Akihiro Kakimoto (343218)

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Multiple-choice questions and performance pre- and post-VR operation. by Akihiro Kakimoto (343218)

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Average scores of TDMS-ST pre- and post-VR operation. by Akihiro Kakimoto (343218)

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VR training system for radiopharmaceutical administration. by Akihiro Kakimoto (343218)

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Experimental protocol. by Akihiro Kakimoto (343218)

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Average scores of POMS2 pre- and post-VR operation. by Akihiro Kakimoto (343218)

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AZ10606120 treatment significantly increased cytotoxicity and reduced cell number in a dose-dependent manner. by Matthew Drill (22258391)

“…Cell numbers were significantly decreased in cells after treatment with AZ10606120 (50µM) compared to both temozolomide (TMZ; 50µM) treatment and untreated controls. …”

Performance comparison of ML models. by Gourab Saha (8987405)

“…Multi-spectral band images from Landsat-8 satellite images of a chosen land are employed from USGS Earth Resources Observation and Science (EROS) Center for extracting indices that are used for agricultural analysis, determining the vegetation index, water index, and salinity index of that land using K-means. Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …”

Comparative data of different soil samples. by Gourab Saha (8987405)

“…Multi-spectral band images from Landsat-8 satellite images of a chosen land are employed from USGS Earth Resources Observation and Science (EROS) Center for extracting indices that are used for agricultural analysis, determining the vegetation index, water index, and salinity index of that land using K-means. Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …”

Confusion matrix of random forest model. by Gourab Saha (8987405)

“…Multi-spectral band images from Landsat-8 satellite images of a chosen land are employed from USGS Earth Resources Observation and Science (EROS) Center for extracting indices that are used for agricultural analysis, determining the vegetation index, water index, and salinity index of that land using K-means. Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …”

Sensor value scenario for fuzzy logic algorithm. by Gourab Saha (8987405)

“…Multi-spectral band images from Landsat-8 satellite images of a chosen land are employed from USGS Earth Resources Observation and Science (EROS) Center for extracting indices that are used for agricultural analysis, determining the vegetation index, water index, and salinity index of that land using K-means. Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …”

Evaluation metrics of selected ML models. by Gourab Saha (8987405)

“…Multi-spectral band images from Landsat-8 satellite images of a chosen land are employed from USGS Earth Resources Observation and Science (EROS) Center for extracting indices that are used for agricultural analysis, determining the vegetation index, water index, and salinity index of that land using K-means. Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …”