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JMIR Diabetes ◽  
10.2196/32369 ◽  
2022 ◽  
Vol 7 (1) ◽  
pp. e32369
Author(s):  
Salim Saiyed ◽  
Renu Joshi ◽  
Safi Khattab ◽  
Shabnam Dhillon

Background COVID-19 disrupted health care, causing a decline in the health of patients with chronic diseases and a need to reimagine diabetes care. With the advances in telehealth programs, there is a need to effectively implement programs that meet the needs of patients quickly. Objective The aim of this paper was to create a virtual boot camp program for patients with diabetes, in 3 months, from project conception to the enrollment of our first patients. Our goal is to provide practical strategies for rapidly launching an effective virtual program to improve diabetes care. Methods A multidisciplinary team of physicians, dieticians, and educators, with support from the telehealth team, created a virtual program for patients with diabetes. The program combined online diabetes data tracking with weekly telehealth visits over a 12-week period. Results Over 100 patients have been enrolled in the virtual diabetes boot camp. Preliminary data show an improvement of diabetes in 75% (n=75) of the patients who completed the program. Four principles were identified and developed to reflect the quick design and launch. Conclusions The rapid launch of a virtual diabetes program is feasible. A coordinated, team-based, systematic approach will facilitate implementation and sustained adoption across a large multispecialty ambulatory health care organization.


2022 ◽  
pp. 106002802110617
Author(s):  
Alexander R. Zheutlin ◽  
Joshua D. Niforatos ◽  
Jeremy B. Sussman
Keyword(s):  

2021 ◽  
Vol 11 (1) ◽  
pp. 18
Author(s):  
Kangli Zhu ◽  
Haodong Yin ◽  
Yunchao Qu ◽  
Jianjun Wu

The distribution of passengers reflects the characteristics of urban rail stations. The automatic fare collection system of rail transit collects a large amount of passenger trajectory data tracking the entry and exit continuously, which provides a basis for detailed passenger distributions. We first exploit the Automatic Fare Collection (AFC) data to construct the passenger visit pattern distribution for stations. Then we measure the similarity of all stations using Wasserstein distance. Different from other similarity metrics, Wasserstein distance takes the similarity between values of quantitative variables in the one-dimensional distribution into consideration and can reflect the correlation between different dimensions of high-dimensional data. Even though the computational complexity grows, it is applicable in the metro stations since the scale of urban rail transit stations is limited to tens to hundreds and detailed modeling of the stations can be performed offline. Therefore, this paper proposes an integrated method that can cluster multi-dimensional joint distribution considering similarity and correlation. Then this method is applied to cluster the rail transit stations by the passenger visit distribution, which provides some valuable insight into the flow management and the station replanning of urban rail transit in the future.


2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Cruz García Lirios

The image of the destination is a central process in the tourism agenda. The establishment of a model or explanatory includes predictive variables the satisfactory experience in terms of transfer, stay and return. In this way, the objective of this work is to demonstrate the axes, trajectories and relationships between the determining variables of the destination image in order to anticipate knowledge management scenarios aimed at reactivating the tourist economy. A correlation work was carried out to with a selection of sources indexed to international repositories, considering the search for keywords in the period of the pandemic. The results show homogeneous random effects that suggest risk thresholds for the decision - making of the tourist experience based on its predictors, although these findings correspond to a data tracking and processing system that can be developed according to the prevalence of the literature.


Al-Qalam ◽  
2021 ◽  
Vol 27 (2) ◽  
pp. 347
Author(s):  
Abd Karim ◽  
Wardiah Hamid ◽  
Muhammad Nur ◽  
Abu Muslim

<p><em>This article examines religious literacy in the veil Community. Religious literacy is seen as a forum for maintaining religious moderation and even strengthening religious moderation in the Veil Community, Takalar. The stigma of the veil is often a measure of how extreme a person is in religion. However, unlike the veiled village community in Galesong, they are very moderate and essential in overseeing religious moderation. They are very inclusive by building good relations with the local community, building educational institutions, prospering mosques, and building radio stations as a forum for preaching. In addition, this article also examines the long journey of forming a veiled village community. They were finally able to mingle with the local community with various approaches, although there were several rejections during the initial period of their arrival. The data found came from direct interviews with the local community and community. Data tracking and data processing are operated using qualitative research methods. </em></p>


2021 ◽  
Vol 9 ◽  
Author(s):  
Anya E. Vostinar ◽  
Katherine G. Skocelas ◽  
Alexander Lalejini ◽  
Luis Zaman

Symbiosis, the living together of unlike organisms as symbionts, is ubiquitous in the natural world. Symbioses occur within and across all scales of life, from microbial to macro-faunal systems. Further, the interactions between symbionts are multimodal in both strength and type, can span from parasitic to mutualistic within one partnership, and persist over generations. Studying the ecological and evolutionary dynamics of symbiosis in natural or laboratory systems poses a wide range of challenges, including the long time scales at which symbioses evolve de novo, the limited capacity to experimentally control symbiotic interactions, the weak resolution at which we can quantify interactions, and the idiosyncrasies of current model systems. These issues are especially challenging when seeking to understand the ecological effects and evolutionary pressures on and of a symbiosis, such as how a symbiosis may shift between parasitic and mutualistic modes and how that shift impacts the dynamics of the partner population. In digital evolution, populations of computational organisms compete, mutate, and evolve in a virtual environment. Digital evolution features perfect data tracking and allows for experimental manipulations that are impractical or impossible in natural systems. Furthermore, modern computational power allows experimenters to observe thousands of generations of evolution in minutes (as opposed to several months or years), which greatly expands the range of possible studies. As such, digital evolution is poised to become a keystone technique in our methodological repertoire for studying the ecological and evolutionary dynamics of symbioses. Here, we review how digital evolution has been used to study symbiosis, and we propose a series of open questions that digital evolution is well-positioned to answer.


2021 ◽  
Vol 4 (9) ◽  
pp. e2126121
Author(s):  
Joshua D. Niforatos ◽  
Alexander R. Zheutlin ◽  
Jeremy B. Sussman
Keyword(s):  

2021 ◽  
Vol 59 (3) ◽  
pp. 773-864
Author(s):  
John V. Duca ◽  
John Muellbauer ◽  
Anthony Murphy

The role of real estate during the global financial and economic crisis has prompted efforts to better incorporate housing and financial channels into macro models, improve housing models, develop macroprudential tools, and reform the financial system. This article provides an overview of major, recent contributions to the literature in relation to earlier research on what drives housing prices and how they affect economic activity. Particularly emphasized are studies, both theoretical and more strongly evidence-based, that connect housing markets with credit markets, house price expectations, financial stability, and the wider economy. The literature reveals much diversity in the international and regional behavior of house prices and the need to improve data tracking key housing supply and demand influences. Also reviewed are studies examining how monetary, macroprudential, and other policies affect house prices and access to housing. This survey is designed to help readers navigate the plethora of recent studies and understand the unsettled issues and avenues for further research. The findings should be of interest to policy makers concerned with financial stability as well as those dealing with the role of housing in the wider economy (JEL E32, E44, E63, G01, G21, R31).


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