This review explores the behavior of low-concentration CO (LCC) in various energy media, such as solid adsorbents, liquid absorbents, and catalytic surfaces. It delves into the mechanisms of diffusion, adsorption, and catalytic reactions, while analyzing the potential applications and challenges of these properties in technologies like air separation, compressed gas energy storage, and CO catalytic conversion. Given the current lack of comprehensive analyses, especially those encompassing multiscale studies of LCC behavior, this review aims to provide a theoretical foundation and data support for optimizing CO capture, storage, and conversion technologies, as well as guidance for the development and application of new materials.
View Article and Find Full Text PDFObjective: As an effective treatment for spinal metastasis (SM), ERAS protocol can significantly reduce the length of hospital stay and complications in patients. Establishing an ERAS program for perioperative care after SM surgery is a clinical problem that needs to be addressed urgently. We aimed to develop an Enhanced Recovery After Surgery (ERAS) program and Surgical Safety Checklist (SSC) that conferred clinical benefit to patients with SM and made it relatively easy to manage the condition.
View Article and Find Full Text PDFHuman-induced pluripotent stem cell (hiPSC) technology has been applied in pathogenesis studies, drug screening, tissue engineering, and stem cell therapy, and patient-specific hiPSC-derived cardiomyocytes (hiPSC-CMs) have shown promise in disease modeling, including diabetic cardiomyopathy. High glucose (HG) treatment induces lipotoxicity in hiPSC-CMs, as evidenced by changes in cell size, beating rate, calcium handling, and lipid accumulation. Empagliflozin, an SGLT2 inhibitor, effectively mitigates the hypertrophic changes, abnormal calcium handling, and contractility impairment induced by HG.
View Article and Find Full Text PDFBackground: Few studies have incorporated echocardiography and laboratory data to predict clinical outcomes in heart failure with preserved ejection fraction (HFpEF).
Objectives: This study aimed to use machine learning to find predictors of heart failure (HF) hospitalization and cardiovascular (CV) death in HFpEF.
Methods: From the Chang Gung Research Database in Taiwan, 6,092 HFpEF patients (2,898 derivation, 3,194 validation) identified between 2008 and 2017 were followed until 2019.
Background: Radiotherapy is the primary treatment modality for most head and neck cancers (HNCs). Despite the addition of chemotherapy to radiotherapy to enhance its tumoricidal effects, almost a third of HNC patients suffer from locoregional relapses. Salvage therapy options for such recurrences are limited and often suboptimal, partly owing to divergent tumor and microenvironmental factors underpinning radioresistance.
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