The suppression of tyrosinase (TYR), a key enzyme in melanogenesis, has been suggested as an effective strategy for preventing melanin accumulation. We previously discovered the novel chrysin derivative hydroxyethyl chrysin (HE-chrysin) through an irradiation technique, which exerted higher anti-inflammatory and anti-cancer activities than original chrysin. In the present study, we explored whether HE-chrysin has antioxidant and anti-melanogenic capacity using B16F10 murine melanoma cells and molecular docking.
View Article and Find Full Text PDFAcademic data processing is crucial in scientometrics and bibliometrics, such as research trending analysis and citation recommendation. Existing datasets in this domain have predominantly concentrated on textual data, overlooking the importance of visual elements. To bridge this gap, we introduce a multidisciplinary multimodal aligned dataset (MMAD) specifically designed for academic data processing.
View Article and Find Full Text PDFPurpose: To investigate symptom burden and symptom cluster trajectories in patients undergoing surgery for esophageal cancer.
Methods: A convenience sample of 210 patients who underwent thoracoscopic surgery for esophageal cancer was included from July to December 2023. The symptoms of the patients were evaluated at the following time points: preoperatively (T0), 1-3 days postoperatively (T1), 7 days postoperatively (T2), 1 month postoperatively (T3), and 3 months postoperatively (T4).
Efficient and stable nonprecious metal-based oxygen evolution reaction (OER) electrocatalysts are pivotal for water electrolysis technology. Herein, we are reporting an effective strategy for fabricating efficient Co-based OER electrocatalysts by low-level Fe doping in CoMoO to boost surface reconstruction and electronic modulation, which resulted in excellent OER electroactivity consequently. Our findings reveal that a mere 5.
View Article and Find Full Text PDFBackground: The nomogram is a powerful and robust tool in disease risk prediction that summarizes complex variables into a visual model that is interpretable with a quantified risk probability. In the current study, a nomogram was developed to predict the occurrence of coronary artery lesions (CALs) among patients with Kawasaki disease (KD). This is especially valuable in the early identification of the risk of CALs, which will lead to proper diagnosis and treatment to reduce their associated complications.
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