Image 3_Endolysin significantly improves symptoms with atopic dermatitis: bridging the gap from research to clinical practice.jpeg by Ling Kui (6108440)

Image 4_Endolysin significantly improves symptoms with atopic dermatitis: bridging the gap from research to clinical practice.jpeg by Ling Kui (6108440)

Image 2_Endolysin significantly improves symptoms with atopic dermatitis: bridging the gap from research to clinical practice.jpeg by Ling Kui (6108440)

Table 2_Endolysin significantly improves symptoms with atopic dermatitis: bridging the gap from research to clinical practice.docx by Ling Kui (6108440)

Table 3_Endolysin significantly improves symptoms with atopic dermatitis: bridging the gap from research to clinical practice.xlsx by Ling Kui (6108440)

Table 1_Endolysin significantly improves symptoms with atopic dermatitis: bridging the gap from research to clinical practice.xlsx by Ling Kui (6108440)

Image 1_Endolysin significantly improves symptoms with atopic dermatitis: bridging the gap from research to clinical practice.jpeg by Ling Kui (6108440)

Table 4_Endolysin significantly improves symptoms with atopic dermatitis: bridging the gap from research to clinical practice.xlsx by Ling Kui (6108440)

Baseline characteristics of cases and controls. by Soo Min Ahn (10333246)

General seasonal hydrography of the northern Arabian Sea. by Jose Dominick Guballa (19739909)

Evaluation results. by Briya Tariq (19666901)

“…Evaluation metrics including signal-to-noise ratio (SNR), linearity of attenuation profiles, root mean square error (RMSE), and area under the curve (AUC) were employed to assess the energy and material-density images with and without metal inserts. Results show decreased metal artefacts and a better signal-to-noise ratio (up to 25%) with increased energy bins as compared to reference data. …”

Dataset with steel insert. by Briya Tariq (19666901)

“…Evaluation metrics including signal-to-noise ratio (SNR), linearity of attenuation profiles, root mean square error (RMSE), and area under the curve (AUC) were employed to assess the energy and material-density images with and without metal inserts. Results show decreased metal artefacts and a better signal-to-noise ratio (up to 25%) with increased energy bins as compared to reference data. …”

Reference dataset. by Briya Tariq (19666901)

“…Evaluation metrics including signal-to-noise ratio (SNR), linearity of attenuation profiles, root mean square error (RMSE), and area under the curve (AUC) were employed to assess the energy and material-density images with and without metal inserts. Results show decreased metal artefacts and a better signal-to-noise ratio (up to 25%) with increased energy bins as compared to reference data. …”

Dataset with aluminium insert. by Briya Tariq (19666901)

“…Evaluation metrics including signal-to-noise ratio (SNR), linearity of attenuation profiles, root mean square error (RMSE), and area under the curve (AUC) were employed to assess the energy and material-density images with and without metal inserts. Results show decreased metal artefacts and a better signal-to-noise ratio (up to 25%) with increased energy bins as compared to reference data. …”

Discovery of Dual-Acting Biofilm Inhibitors against Pseudomonas aeruginosa by the Coupling of 3‑Hydroxypyridin-4(1<i>H</i>)‑ones with <i>N</i>‑Phenylamide QS Inhibitors by Hao-Zhong Long (19685972)

Standardized prevalence of depression (HADS-D>=8 with 95% CI) by sex, time, and age group. by Maria Lage Barca (4515385)

Standardized prevalence* HADS-D>=8 with 95% CI by sex, time, age group, and living situation. by Maria Lage Barca (4515385)

Standardized prevalence* of depression (HADS-D>=8) with 95% CI by sex, age, and self-reported loneliness. by Maria Lage Barca (4515385)

Demographic characteristics of the breast cancer patients enrolled in the study. by Md. Akeruzzaman Shaon (21511929)

Baseline characteristics of study subjects. by Md. Akeruzzaman Shaon (21511929)