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2020 ◽  
Vol 22 (7) ◽  
pp. 1565-1578
Author(s):  
Yanmei Zhu ◽  
Shijun Chen ◽  
Guangwen Ma ◽  
Weibin Huang ◽  
Xiaoyan Han ◽  
...  

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S880-S881
Author(s):  
Gabriela Zaragoza ◽  
Jaime Cruz-Martinez ◽  
Paula Reilly ◽  
Jeanette Ross ◽  
Michael J Mader ◽  
...  

Abstract Dementia awareness training alone does not improve care or outcomes for patients living with dementia. Effective dementia education programs for family caregivers and healthcare providers can lead to improved care practices and patient outcomes. The Dementia Immersion Simulation Experience (DISE) is a face-to-face 2-hour educational program that includes simulation, videos, a virtual reality station, group debriefing, and a didactic session delivered by faculty with dementia caregiving expertise. The purpose of this project was to evaluate the effectiveness of DISE in a group of 48 interdisciplinary healthcare providers, trainees and administrative staff. A program evaluation and pre and post knowledge questionnaires were administered. Prior to the activity, the mean score of all participants was 8.85. After the activity, the mean score was 10.1 (p<0.0001). 35.4% of all participants were well informed on dementia before DISE and 70.8% were well informed after the activity (p <0.0005). Qualitative analysis of the comments section of the program evaluation showed that 95% of the participants mentioned empathy for those living with dementia. Participants rated DISE on a scale of 1 (Strongly Disagree) to 5 (Strongly Agree) across ten categories, covering objectives, relevance, effectiveness, and value of the learning experience. Over 95% of respondents agreed or better (score = 4 or 5) with each evaluation statement and at least 85% strongly agreed with each statement. The evaluation scores are further evidence of an effective program. DISE is an effective tool to teach and support family caregivers, healthcare workers, and healthcare professionals and trainees.


Energy ◽  
2019 ◽  
Vol 185 ◽  
pp. 1210-1224 ◽  
Author(s):  
Zhongzheng He ◽  
Jianzhong Zhou ◽  
Mengfei Xie ◽  
Benjun Jia ◽  
Zhengfeng Bao ◽  
...  

2018 ◽  
Vol 246 ◽  
pp. 02018
Author(s):  
Yanmei Zhu ◽  
Shijun Chen ◽  
Weibin Huang ◽  
Diya Xie ◽  
Wang Li ◽  
...  

The new electricity system reform has brought power generation companies into the market, and the scheduling target of cascade hydropower stations has been transformed from maximizing power generation to maximizing revenue. Market rules require hydropower generators to pay assessment fees for the power generation deviation. Therefore, in order to obtain the desired revenue, power generators should not only obtain more power generation indicators and higher power prices, but also control the power generation deviation and avoid being assessed. In response to the current market environment, the new requirements of the new electricity system reform for hydropower scheduling were analyzed. And based on regional market rules, a scheduling model for cascade hydropower stations with the goal of minimizing generation deviation was established, taking the example of eight cascade hydropower stations in the downstream of Dadu River in Sichuan province as an example, the effectiveness and applicability of the model were verified. The results show that the deviation in each period can be controlled within 1% and meet the basic requirements of market rules.


2017 ◽  
Vol 9 (1) ◽  
pp. 91-103 ◽  
Author(s):  
Happy Widyarini ◽  
Niken T.M. Pratiwi ◽  
. Sulistiono

Majakerta estuary and its surrounding waters have a high potential fishery resource which is commonly utilized by the community around the area. Fluctuation of physical and chemical parameters of the waters and fishery activities around the estuary can influence the existence of  zooplankton. This study was conducted from December 2014 to May 2015. Samples of the zooplankton were collected monthly at four stations (consisted of sea, river and estuary areas). Based on the study, zooplankton in the  Majakerta estuary and its surrounding waters consisted of six classes; i.e. Protozoa (11 genera), Crustaceae (4 genera, 1 nauplius stadia), and Rotifera (4 genera). A higher abundance was found at the sea (29025 ind./m3), while a lower  abundance was at the river and estuary (7147 ind./m3 dan 7582 ind./m3).  Based on the zooplankton diversity index, it can be inferred that the value was relatively low. There were two habitat groups, namely Station Group 1 (Station 1 and  2; river and estuary) and Station Group 2 (Station  3 and 4; sea) with influencing parameters such as  transparency, pH, and salinity.  Keywords: estuary, Majakerta, zooplankton, community structure


2017 ◽  
Vol 9 (1) ◽  
pp. 91
Author(s):  
Happy Widyarini ◽  
Niken T.M. Pratiwi ◽  
. Sulistiono

<p><em>Majakerta estuary </em><em>and its surrounding waters </em><em>ha</em><em>ve a high </em><em>potential fishery resource </em><em>which</em><em> is </em><em>commonly </em><em>utilized by the community</em><em> around the area</em><em>. Fluctuation of</em><em> physical and chemical parameters of the waters and fishery activities around the estuary can influence the existenc</em><em>e</em><em> of  zooplankton</em><em>. This study was conducted from December 2014 to May 2015. Sampl</em><em>es</em><em> of </em><em>the </em><em>zooplankton w</em><em>ere</em><em> collected monthly at </em><em>four</em><em> station</em><em>s </em>(<em>consisted of sea, river and estuary areas</em>)<em>. Based </em><em>o</em><em>n the </em><em>study</em><em>, zooplankton in the  Majakerta estuary </em><em>and its surrounding waters </em><em>consist</em><em>ed</em><em> of six classes; i.e. Protozoa (11 genera), Crustaceae (4 genera, 1 nauplius stadia), and Rotifera (4 genera). </em><em>A higher abundance was found at the sea (29025 ind./m<sup>3</sup>), while a lower  abundance was at the river and estuary (7147 ind./m<sup>3</sup> dan 7582 ind./m<sup>3</sup>).  </em><em>Based on the zooplankton diversity index, it</em><em> can be inferred that the value was relatively low. There were two habitat groups, namely Station Group 1 </em><em>(Station 1 and </em><em> 2</em><em>; </em><em>river</em><em> and</em><em> estuary) and </em><em>Station Group 2 (S</em><em>tation  3 </em><em>and </em><em>4</em><em>; </em><em>sea) w</em><em>ith </em><em>influencing parameters</em><em> </em><em>such as </em><em> </em><em>transparency</em><em>, pH, and salinity. </em></p><p><em> </em></p><p><strong><em>Keywords:</em></strong><em> </em><em>e</em><em>stuar</em><em>y</em><em>, Majakerta, </em><em>zoo</em><em>plankton</em><em>,</em><em> community structure</em><em></em></p>


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