Since the 21st century, the concept of green building has been gradually popularized and implemented in more countries, which has become a popular direction in the area of sustainability in the building industry. Over the past few decades, many scholars and experts have done extensive research on green building. The purpose of this paper is to systematically analyze and visualize the status quo of green building. Therefore, based on Web of Science (WoS), this paper analyzed the existing knowledge system of green building using CiteSpace, identified keywords related to green building and their frequency of occurrence using the function of keyword co-occurrence analysis, recognized five clusters using the function of cluster analysis, and explored the knowledge evolution pattern of green building using citation bursts analysis in order to reveal how research related to green building has evolved over time. On the basis of aforementioned keywords, clusters, and citation bursts analysis, this paper has built a knowledge graph for green building. This paper can help readers to better understand the status quo and development trend of green building and to easier recognize the shortcomings in the development of green building, so as to provide a promising direction for future research.
Background China has the biggest stroke burden in the world. Continued measures have been taken to enhance post-stroke rehabilitation management in the last two decades. The weak link is with home-based rehabilitation, with more attention and resources devoted to inpatient rehabilitation. Objective to address the service gap, this study tested a home-based transitional care model for stroke survivors. Methods a randomized controlled trial was conducted from February 2019 to May 2020 in Harbin, China, involving 116 patients with ischemic stroke. The intervention group participants (n = 58, 50%) received a 12-week home-based care program with components of transitional care measures and the national guidelines for facilitating patients to perform home-based exercises with continued monitoring and gradual progression. Control group participants received standard care including medication advice, rehabilitation exercise and one nurse-initiated follow-up call. Data were collected at baseline and after a 90-day (post-intervention) and a 180-day (post-intervention) follow-up. The primary outcome was quality of life (QOL), measured using the EuroQol-Five Dimension 5-Level scale (EQ-5D-5L). Results both intervention and control groups showed improvement in EQ-5D-5L from baseline to post-intervention (0.66 versus 0.83, P < 0.001) and (0.66 versus 0.77, P < 0.001), respectively, and there was significant group-by-time interaction in EuroQol-Visual Analogue Scale from baseline to post-intervention at 90 days and follow-up at 180 days with the intervention group experiencing better improvement. Similarly, significant interaction effects were also found in the Stroke Impact Symptom scale, self-efficacy and modified Barthel Index. Conclusions home-based transitional care was effective in improving QOL, symptoms, self-efficacy and activities of daily living.
<abstract> <p>The coronavirus disease 2019 (COVID-2019), a newly emerging disease in China, posed a public health emergency of China. Wuhan is the most serious affected city. Some measures have been taken to control the transmission of COVID-19. From Jan. 23rd, 2020, gradually increasing medical resources (such as health workforce, protective clothing, essential medicines) were sent to Wuhan from other provinces, and the government has established the hospitals to quarantine and treat infected individuals. Under the condition of sufficient medical resources in Wuhan, late-stage of epidemic showed a downward trend. Assessing the effectiveness of medical resources is of great significance for the future response to similar disease. Based on the transmission mechanisms of COVID-19 and epidemic characteristics of Wuhan, by using time-dependent rates for some parameters, we establish a dynamical model to reflect the changes of medical resources on transmission of COVID-19 in Wuhan. Our model is applied to simulate the reported data on cumulative and new confirmed cases in Wuhan from Jan. 23rd to Mar. 6th, 2020. We estimate the basic reproduction number <italic>R</italic><sub>0</sub> = 2.71, which determines whether the disease will eventually die out or not under the absence of effective control measures. Moreover, we calculate the effective daily reproduction ratio <italic>R</italic><sub><italic>e</italic></sub>(<italic>t</italic>), which is used to measure the 'daily reproduction number'. We obtain that <italic>R</italic><sub><italic>e</italic></sub>(<italic>t</italic>) drops less than 1 since Feb. 8th. Our results show that delayed opening the 'Fire God Hill' hospital will greatly increase the magnitude of the outbreak. This shows that the government's timely establishment of hospitals and effective quarantine via quick detection prevent a larger outbreak.</p> </abstract>
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