Table 2_Ionizing radiation improves skin bacterial dysbiosis in cutaneous T-cell lymphoma.xlsx by Lauren P. Chrisman (17771613)

“…Both α and β-diversity differed significantly post versus pre-IR for TSEBT, but not for local IR. …”

Discovery of Tamsulosin Derivatives with Shifted Selectivity from the α₁‑Adrenergic Receptor to ANO1 as Potent Antiosteoporotic Agents by Chaoquan Tian (21009122)

“…The potency of compound <b>10</b> against ANO1 was comparable to that of <b>Tam</b> (IC₅₀: 4.57 vs 7.22 μM), but its selectivity over α₁-AR was significantly improved. Compared with <b>Tam</b>, the potency of compound <b>10</b> against α_1A-, α_1B-, and α_1D-AR decreased by 118-fold, 642-fold, and 10,000-fold, respectively. …”

Discovery of Tamsulosin Derivatives with Shifted Selectivity from the α₁‑Adrenergic Receptor to ANO1 as Potent Antiosteoporotic Agents by Chaoquan Tian (21009122)

“…The potency of compound <b>10</b> against ANO1 was comparable to that of <b>Tam</b> (IC₅₀: 4.57 vs 7.22 μM), but its selectivity over α₁-AR was significantly improved. Compared with <b>Tam</b>, the potency of compound <b>10</b> against α_1A-, α_1B-, and α_1D-AR decreased by 118-fold, 642-fold, and 10,000-fold, respectively. …”

Discovery of Tamsulosin Derivatives with Shifted Selectivity from the α₁‑Adrenergic Receptor to ANO1 as Potent Antiosteoporotic Agents by Chaoquan Tian (21009122)

“…The potency of compound <b>10</b> against ANO1 was comparable to that of <b>Tam</b> (IC₅₀: 4.57 vs 7.22 μM), but its selectivity over α₁-AR was significantly improved. Compared with <b>Tam</b>, the potency of compound <b>10</b> against α_1A-, α_1B-, and α_1D-AR decreased by 118-fold, 642-fold, and 10,000-fold, respectively. …”

Reconciliation services product value analysis. by Yu Zhang (12946)

“…The study reveals several key findings. (1) In the three study areas, afforestation significantly impacts the regulation of service product values. …”

Means of sampling data in the Shibing study area. by Yu Zhang (12946)

“…The study reveals several key findings. (1) In the three study areas, afforestation significantly impacts the regulation of service product values. …”

Technology roadmap. by Yu Zhang (12946)

“…The study reveals several key findings. (1) In the three study areas, afforestation significantly impacts the regulation of service product values. …”

Zunhua study area factor rotation results. by Yu Zhang (12946)

“…The study reveals several key findings. (1) In the three study areas, afforestation significantly impacts the regulation of service product values. …”

Value of ecological products in the study area. by Yu Zhang (12946)

“…The study reveals several key findings. (1) In the three study areas, afforestation significantly impacts the regulation of service product values. …”

Means of sampling data in the Zunhua study area. by Yu Zhang (12946)

“…The study reveals several key findings. (1) In the three study areas, afforestation significantly impacts the regulation of service product values. …”

Improved antidiabetic potential of quercetin-loaded chitosan–lecithin nanoparticles for effective glycaemic control by Mohammad Zaki Ahmad (13117814)

“…Fasting blood glucose decreased from 292.9 to 107.7 mg/dL, along with improved lipid profiles.…”

Interaction panel of Treat × Period effect (T × P) for ether extract intake (g/d) as influenced by feeding pasteurized waste milk (WM) or milk replacer (MR) to newborn Holstein cal... by Shahryar Kargar (18880600)

Interaction panel of Treat × Period effect (T × P) for body measurements as influenced by feeding pasteurized waste milk (WM) or milk replacer (MR) to newborn Holstein calves (n =... by Shahryar Kargar (18880600)

Interaction panel of Treat × Period effect (T × P) for eating time (min/8-h) and sorting index (%) on sieve 2.36 mm and bottom pan as influenced by feeding pasteurized waste milk (... by Shahryar Kargar (18880600)

Interaction panel of Treat × Period effect (T × P) for starter intake (g/d), body weight (kg), average daily gain (g/d), and feed efficiency (g/g) as influenced by feeding pasteuri... by Shahryar Kargar (18880600)

Example of sample data. by Xiying Wang (4859998)

“…The results reveal that as the number of nodes in the hidden layer increases, the model’s Mean Squared Error (MSE) and Relative Error (RE) show a decreasing trend, indicating an improvement in model prediction accuracy. …”

Structure of BPNN. by Xiying Wang (4859998)

“…The results reveal that as the number of nodes in the hidden layer increases, the model’s Mean Squared Error (MSE) and Relative Error (RE) show a decreasing trend, indicating an improvement in model prediction accuracy. …”

The workflow of EGA-BPNN. by Xiying Wang (4859998)

“…The results reveal that as the number of nodes in the hidden layer increases, the model’s Mean Squared Error (MSE) and Relative Error (RE) show a decreasing trend, indicating an improvement in model prediction accuracy. …”

S1 Data - by Xiying Wang (4859998)

“…The results reveal that as the number of nodes in the hidden layer increases, the model’s Mean Squared Error (MSE) and Relative Error (RE) show a decreasing trend, indicating an improvement in model prediction accuracy. …”

Algorithm flow of the GA-BPNN model. by Xiying Wang (4859998)

“…The results reveal that as the number of nodes in the hidden layer increases, the model’s Mean Squared Error (MSE) and Relative Error (RE) show a decreasing trend, indicating an improvement in model prediction accuracy. …”