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Understanding the mechanisms mediating cardio-renal benefit of empagliflozin in type 2 diabetes mellitus
Published 2023“…They have demonstrated1 that empagliflozin treatment resulted in a significant decrease in pulse pressure (PP), mean arterial pressure (MAP) and cardiac workload, compared with placebo; at week 12, placebo-adjusted mean changes from baseline were − 2.5 mmHg for PP, − 2.2 mmHg for MAP and − 315 mmHg x beats per minute (bpm) for cardiac workload (p < 0.0001 for all). …”
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Enhancing the production of biogas through anaerobic co-digestion of agricultural waste and chemical pre-treatments
Published 2020“…The results revealed that the highest cumulative methane production (CMP) of 297.99 NL/kgVS can be generated by co-digestion of ASWs and CD at a ratio of 60:40. Further improvement was achieved via alkalinity treatment with 1.0 g of NaHCO3/gVS leading to decrease in lignin, cellulose, and hemicellulose contents of feedstock by 3.5%, 10.5% and 15.9%, respectively, converting them to soluble fractions and improving the CMP by 11.2–29.7% based on substrate quality. …”
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Bioactive Components from Ginger, Tea and Apple Prevent Protein Glycation by Trapping Methylglyoxal with Potential in Alleviation of Diabetic Complications
Published 2016“…We also demonstrated that 6S and 6G could effectively inhibit the formation of MGO-induced AGEs via trapping MGO in a time-dependent manner in the human serum albumin (HSA)-MGO system. …”
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Novel thiazolones for the simultaneous modulation of PPARγ, COX-2 and 15-LOX to address metabolic disease-associated portal inflammation
Published 2025“…Compound 2a activated PPARγ with an EC50 value of 3.4 μM in a Gal4-hybrid reporter gene assay, indicating partial agonistic action. …”
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MACHINE LEARNING TECHNIQUES FOR MOTOR GEAR FAULT DETECTION AND DIAGNOSIS
Published 2022“…Using convolutional layers, network parameters are greatly decreased in Convolutional Neural Networks (CNNs) by local connectivity and exchanging weights, which comprise a group of kernels with a limited receptive area, unlike a typical neural network with a complete connection through each node. …”
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