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Myocardial infarction (MI) has emerged as the predominant cause of cardiovascular morbidity globally. The pathogenesis of MI unfolds as a progressive process encompassing three pivotal phases: inflammation, proliferation, and remodeling. Smart stimulus‐responsive hydrogels have garnered considerable attention for their capacity to deliver therapeutic drugs precisely and controllably at the MI site. Here, a smart stimulus‐responsive hydrogel with a dual‐crosslinked network structure is designed, which enables the precise and controlled release of therapeutic drugs in different pathological stages for the treatment of MI. The hydrogel can rapidly release curcumin (Cur) in the inflammatory phase of MI to exert anti‐apoptotic/anti‐inflammatory effects. Recombinant humanized collagen type III (rhCol III) is loaded in the hydrogel and released as the hydrogel swelled/degraded during the proliferative phase to promote neovascularization. RepSox (a selective TGF‐β inhibitor) releases from Pluronic F‐127 grafted with aldehyde nanoparticles (PF127‐CHO@RepSox NPs) in the remodeling phase to against fibrosis. The results in vitro and in vivo suggest that the hydrogel improves cardiac function and alleviates cardiac remodeling by suppressing inflammation and apoptosis, promoting neovascularization, and inhibiting myocardial fibrosis. A whole‐course‐repair system, leveraging stimulus‐responsive multifunctional hydrogels, demonstrates notable effectiveness in enhancing post‐MI cardiac function and facilitating the restoration of damaged myocardial tissue. [ABSTRACT FROM AUTHOR]

The scientific process of earthquake forecasting involves estimating the probability and intensity of earthquakes in a specific area within a certain timeframe, based on seismic activity features and observational data. Among the various methodologies, epidemic-type aftershock sequence (ETAS) models, rooted in seismic empirical laws, stand as widely used tools for earthquake forecasting. In this study, we introduce the CL-ETAS model, a novel approach that integrates convolutional long short-term memory (ConvLSTM), a deep learning model, with the ETAS model. Specifically, we leverage the forecasting outputs of ETAS to enhance both the training and forecasting processes within the ConvLSTM framework. Through forecasting tests, our findings illustrate the effectiveness of the CL-ETAS model in capturing the trends observed in earthquake numbers (⁠|$M \ge 3$|⁠) in Southern California following three main shocks. Overall, our model outperforms both a simple ETAS model and ConvLSTM in this context. [ABSTRACT FROM AUTHOR]

Objective: Medical students are demanders and future suppliers of antibiotic use. Understanding their knowledge, attitude and practice is important for appropriately using antibiotics and controlling antibiotic resistance. The objective of this study was to assess the measurement properties of existed instruments and summarize measurement items and results. Methods: Five English and Chinese databases were searched to comprehensively identify related studies between January 2000 and May 2023. Included instruments were assessed using consensus‐based standards for the selection of health measurement instruments checklist. Descriptive tables and narrative texts were applied to summary the data. Results: Of 3524 studies identified, 25 were finally included, from which 22 measurement instruments were included. Of these, 14 instruments were found with adequate content validity, only one study reported structural validation process and two studies reported reliability test results. Similar items were divided into different dimensions in different studies. Gaps and misconceptions in knowledge and attitude were indicated in antibiotic use principles, including antibiotic use indications and selection. Conclusions: Limitations existed in the current measurement instrument including lacking validation, inconsistent classification of item and lacking item regarding the perspective of suppliers. Scientific tools for objective and accurate measure are needed. [ABSTRACT FROM AUTHOR]

Objective To investigate the safety and efficacy of the induction therapy of nimotuzumab combined with PF regimen (cisplatin+5-fluorouracil) in the follow-up treatment of locally advanced nasopharyngeal carcinoma patients received concurrent chemoradiotherapy. Methods We included 118 patients with stage Ⅲ-Ⅳa nasopharyngeal carcinoma, 58 cases in NPF group (induction therapy of nimotuzumab combined with PF regimen) and 60 cases in TPF group (induction chemotherapy of docetaxel, cisplatin and fluorouracil regimen). After two cycles of induction therapy, all patients received concurrent cisplatin and intensity-modulated radiotherapy (IMRT), and the safety and short-term efficacy of the two groups were compared. Results Compared with TPF group, NPF induction therapy was more effective for cervical lymph nodes (P=0.036); however, there was no significant difference in the effect of induction therapy on primary lesions, overall effect or the immediate effect of the whole course of treatment(P > 0.05). Compared with TPF group, neutropenia and gastrointestinal reaction in the NPF group was significantly improved during the induction therapy (P=0.028, P=0.049); gastrointestinal reaction, oral mucositis and radiation dermatitis in the NPF group were significantly improved during the concurrent chemoradiotherapy (P=0.038, P=0.041, P=0.035). Conclusion For locally advanced nasopharyngeal carcinoma patients received cisplatin concurrent IMRT, the induction therapy of nimotuzumab combined with PF regimen have a better lymph node remission rate and mild adverse reactions. Patients had better tolerance in subsequent concurrent chemoradiotherapy, but the long-term efficacy requires further follow-up observation.