Reference dataset. حسب Briya Tariq (19666901)

"…It focuses on identifying and quantifying clinically significant materials in the presence of metal objects. …"

Dataset with aluminium insert. حسب Briya Tariq (19666901)

"…It focuses on identifying and quantifying clinically significant materials in the presence of metal objects. …"

Correlation in site-level DNA methylation estimates between TMS and RRBS data after permutation. حسب Amy Longtin (21409957)

GO and KEGG analysis of DEPs. حسب Huiyang Jia (14444661)

Simulation datasets. حسب Xiao Mo (2430355)

"…These results offer significant theoretical guidance for the design and improvement of needle-free injection.…"

Grid division diagram. حسب Ming Zhang (9736)

"…When the height is 2.5m and above, the windbreak efficiency is greater than 90%, and the windbreak effect is significantly improved. (2) The change of sand barrier height has a significant effect on the windbreak efficiency between the second and third sand barriers. (3) Among the three sand-blocking fences, when the height of the sand-blocking fence is 2.5m, the thickness of the sand is 50.51% and 58.33% higher than that of the 2m high sand-blocking fence, and the sand-blocking effect is the most significant. …"

Model calculation diagram. حسب Ming Zhang (9736)

"…When the height is 2.5m and above, the windbreak efficiency is greater than 90%, and the windbreak effect is significantly improved. (2) The change of sand barrier height has a significant effect on the windbreak efficiency between the second and third sand barriers. (3) Among the three sand-blocking fences, when the height of the sand-blocking fence is 2.5m, the thickness of the sand is 50.51% and 58.33% higher than that of the 2m high sand-blocking fence, and the sand-blocking effect is the most significant. …"

Grid independence verification. حسب Ming Zhang (9736)

"…When the height is 2.5m and above, the windbreak efficiency is greater than 90%, and the windbreak effect is significantly improved. (2) The change of sand barrier height has a significant effect on the windbreak efficiency between the second and third sand barriers. (3) Among the three sand-blocking fences, when the height of the sand-blocking fence is 2.5m, the thickness of the sand is 50.51% and 58.33% higher than that of the 2m high sand-blocking fence, and the sand-blocking effect is the most significant. …"

Antibodies used in this study. حسب Kevin J. Kokesh (19859571)

"…Protein kinase C (PKC) activity was greater in the CF cells compared to the non-CF cells, but the activity was significantly attenuated in both cell types after infection with <i>M</i>. …"

Time and flowrate used for proteomics. حسب Kevin J. Kokesh (19859571)

"…Protein kinase C (PKC) activity was greater in the CF cells compared to the non-CF cells, but the activity was significantly attenuated in both cell types after infection with <i>M</i>. …"

S1 Graphical abstract - حسب Kevin J. Kokesh (19859571)

"…Protein kinase C (PKC) activity was greater in the CF cells compared to the non-CF cells, but the activity was significantly attenuated in both cell types after infection with <i>M</i>. …"

Results of longitudinal analysis of mental health in HCWs. حسب A. H. Ayesha Lavell (16734002)

Mean scores and 95% CI of mental health symptoms, COVID-19 admissions and effect size during follow-up. حسب A. H. Ayesha Lavell (16734002)

Metric correlation matrix. حسب Chao Song (379006)

Mean parameter values for the selected crops. حسب Gourab Saha (8987405)

"…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. …"

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

"…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. حسب Gourab Saha (8987405)

"…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. حسب Gourab Saha (8987405)

"…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. حسب Gourab Saha (8987405)

"…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. حسب Gourab Saha (8987405)

"…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. …"