Exploring the Performance Improvement for CO2 Chemical Fixation in Zn/ZnMg-MOFs.

A new 3D zinc-based metal-organic framework {[Zn7L2(DMF)3(H2O)(OH)2]·5DMF}n (1) (H6L = 5,5',5″-(methylsilanetriyl) triisophthalic acid) was constructed with an organosilicon-based linker, where H6L is a tetrahedral structure furnished with rich -COO- chelating sites for Zn(II) immobilization. Compound 1 exhibited two types of irregular one-dimensional channels and a three-dimensional skeleton with large specific surface area, making it a promising catalytic platform. Moreover, by incorporation of the second metal ion into the inorganic node of framework 1, isomorphic bimetallic MOF ZnMg-1 was successfully synthesized. ZnMg-1 demonstrated enhanced catalytic activity compared to 1 under identical conditions. Contrast experiments and theoretical calculations indicate that bimetallic active sites play a facilitating role in the chemical fixation of epoxides and CO2. It indicated that efficient chemical fixation of CO2 to cyclic carbonates was obtained over isomorphic MOF catalysts 1 and ZnMg-1.

Exploring the spatial pattern of community urban green spaces and COVID-19 risk in Wuhan based on a random forest model.

Since 2019, COVID-19 has triggered a renewed investigation of the urban environment and disease outbreak. While the results have been inconsistent, it has been observed that the quantity of urban green spaces (UGS) is correlated with the risk of COVID-19. However, the spatial pattern has largely been ignored, especially on the community scale. In high-density communities where it is difficult to increase UGS quantity, UGS spatial pattern could be a crucial predictive variable. Thus, this study investigated the relative contribution of quantity and spatial patterns of UGS on COVID-19 risk at the community scale using a random forest (RF) regression model based on (n = 44) communities in Wuhan. Findings suggested that 8 UGS indicators can explain 35% of the risk of COVID-19, and the four spatial pattern metrics that contributed most were core, edge, loop, and branch whereas UGS quantity contributed least. The potential mechanisms between UGS and COVID-19 are discussed, including the influence of UGS on residents' social distance and environmental factors in the community. This study offers a new perspective on optimizing UGS for public health and sustainable city design to combat pandemics and inspire future research on the specific relationship between UGS spatial patterns and pandemics and therefore help establish mechanisms of UGS and pandemics.

The efficacy of a nursing care and follow-up program for patients with heart failure: Study protocol for a randomized controlled trial.

BACKGROUND: Heart failure (HF) is one of the primary causes of the increasing public health costs, incidence rate and mortality of heart disease. As treatment options for the HF have evolved, people have a better understanding of overall burden of HF, resulting a more centralized method for the treatment of these patients with chronic diseases. At present, with the rapid progress of medical technology, the nursing mode must be updated accordingly. The objective of this trial is to investigate the effects of the program of nursing care and follow-up on life quality, self-care, and the rehospitalization of patients with HF. METHOD: This is a randomized controlled study to be carried out from November 2020 to March 2021 and was granted through the Ethics Committee of Changshan County People's Hospital (CCPH002376). The patients meet the following criteria will be included: the age of the patients is 18 years and above, and the functional classification is NYHA II or NYHA III. The patients with the following criteria will be excluded: patients who have received the by-pass surgery in the last 6 months; cancer patients are given radiotherapy or chemotherapy; patients with severe renal failure requiring dialysis; patients with chronic obstructive pulmonary disease who need ventilation; and patients with hearing or visual impairment. In our experiment, patient information scale, the life quality scale (The Left Ventricular Dysfunction Scale) and Self-Care of HF Index are utilized for the assessment. All the analyses are implemented with SPSS for Windows Version 20.0. RESULTS: Impact of experimental programs on outcomes will be illustrated in the Table. CONCLUSION: We hypothesize that the nursing care conducted for the HF patients may improve the life quality and self-care. TRIAL REGISTRATION NUMBER: researchregistry 6129.

Implementation of a clinical nursing pathway for percutaneous coronary intervention: A randomized controlled trial protocol.

BACKGROUND: Acute myocardial infarction is a very common disease in the emergency room. Emergency percutaneous coronary intervention (PCI) is the first choice to open infarct-related artery in time to regain the active blood flow of myocardial tissue. Clinical nursing pathway (CNP), namely clinical project, is an original nursing mode with good quality, outstanding efficiency, and low treatment spending, so it has attracted more and more attention. However, few studies have reported the implementation of a CNP in PCIs. The purpose of the protocol is to assess the impact of CNP on the clinical efficacy of transradial emergency PCI. METHODS: This is a randomized controlled, single center trial which will be implemented from January 2021 to June 2021. Hundred samples diagnosed with acute myocardial infarction will be included in this study. It was authorized via the Ethics Committee of Changshan County People's Hospital (CCPH002348). Patients are assigned to the following groups: control group, given normal routine care; CNP group, treated with CNP plan. The time from door to balloon, hospitalization expenses, length of stay, postoperative complications, patients' satisfaction with treatment are compared and analyzed. All data are collected and analyzed by Social Sciences software version 21.0 (SPSS, Inc., Chicago, IL) program. RESULTS: Differences of clinical outcomes between groups (). CONCLUSION: This original evidence-based nursing model can be used as the foundation for further research. TRIAL REGISTRATION NUMBER: researchregistry6030.