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2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 415-416
Author(s):  
Annette Medina-Walpole ◽  
Thomas Caprio ◽  
Szilvia Arany

Abstract We report on launching a dental initiative that addresses healthy aging and oral health, focusing on prevention and changing the false belief that aging inevitably involves deterioration in oral health. Our project integrates the age-friendly health system's principles into specialty dental care at Eastman Institute for Oral Health, URMC. We established an oral health-centered framework with project elements of the 4Ms - what matters, medication, mentation, and mobility. We developed pilot 4Ms templates integrated into dental charts to implement healthy-aging key oral health processes, including oral health assessment, treatment planning, and oral hygiene support. We engaged all members of the dental team through educational sessions for providing care for patients affected by Alzheimer’s disease and related dementias. We leveraged on locally available interdisciplinary resources and the collaboration reflecting undergoing efforts at the University of Rochester Division of Geriatrics and the Finger Lakes Geriatric Education Center, a Geriatric Workforce Enhancement.


2021 ◽  
Vol 298 ◽  
pp. 113524
Author(s):  
Olivia Pietz ◽  
Mary Augenstein ◽  
Christine B. Georgakakos ◽  
Kanishka Singh ◽  
Miles McDonald ◽  
...  

Data in Brief ◽  
2021 ◽  
pp. 107425
Author(s):  
Olivia Pietz ◽  
Mary Augenstein ◽  
Christine B. Georgakakos ◽  
Kanishka Singh ◽  
Miles McDonald ◽  
...  

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Trent James Davis ◽  
Miguel I. Gomez

Purpose The purpose of this paper is to identify the drivers of customer satisfaction (CS) and sales performance at wineries in the Finger Lakes region of New York State in the context of changes winery tasting rooms implemented due to the COVID-19 pandemic. Design/methodology/approach A survey was administered to tasting room visitors at two wineries in October 2020 in the Finger Lakes region of New York State resulting in 215 usable survey responses measuring customer satisfaction. A factor analysis was used to identify primary factors influencing overall CS. The authors then modeled how these primary factors, along with various demographic factors, influence sales metrics. The results are then compared with previous estimates of such drivers in pre-COVID tasting rooms. Findings The authors identified four main CS factors: Staff Interactions, Wine Tasting, COVID-19 Precautions and Ambience that play a significant role in overall CS. Of these, Wine Tasting was shown to have a positive influence on total amount spent and the number of bottles purchased, whereas COVID-19 Precautions positively impacted the number of bottles purchased. Overall, CS is also shown to positively impact total amount spent and number of bottles purchased. Customers are shown to prefer some changes to the tasting room due to COVID-19, such as having table service and reservations. Originality/value This is the first study researching the influence of certain tasting room changes implemented due to the COVID-19 pandemic has had on CS and wine-purchasing decisions in tasting rooms.


Author(s):  
R. M. Khan ◽  
B. Salehi ◽  
M. Mahdianpari ◽  
F. Mohammadimanesh

Abstract. Surface water quality is degrading continuously both due to natural and anthropogenic causes. There are several indicators of water quality, among which sediment loading is mainly determined by turbidity. Normalized Difference Water Index (NDWI) is one indirect measure of sediments present in water. This study focuses on detecting and monitoring sediments through NDWI over the Finger Lakes region, New York. Time series analysis is performed using Sentinel 2 imagery on the Google Earth Engine (GEE) platform. Finger Lakes region holds high socio-economic value because of tourism, water-based recreation, industry, and agriculture sector. The deteriorating water quality within the Finger Lake region has been reported based on ground sampling techniques. This study takes advantage of a cloud computing platform and medium resolution atmospherically corrected satellite imagery to detect and analyse water quality through sediment detection. In addition, precipitation data is used to understand the underlying cause of sediment increase. The results demonstrate the amount of sediments is greater in the early spring and summer months compared to other seasons. This can be due to the agricultural runoff from the nearing areas as a result of high precipitation. The results confirm the necessity for monitoring the quality of these lakes and understanding the underlying causes, which are beneficial for all the stakeholders to devise appropriate policies and strategies for timely preservation of the water quality.


2020 ◽  
pp. 1-20
Author(s):  
Craig A. Talmage ◽  
Julien C. Denicourt ◽  
Patrick J. Delpha ◽  
Gabriella B. Goodwin ◽  
Eleanor B. Snyder

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