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Author(s):  
Retna Ayu Puspatarini ◽  
Nabilah Nabilah ◽  
Sri Handjajanti

Living pharmacy park in Sub village (SV) 007, Sub-sub village (SSV) 04, Kali Anyar Village, Tambora District located in West Jakarta is the location of Community Service activities. This activity was carried out gradually starting from before the Indonesian government issued a new order rule (New Normal) until the government issued new normal rules due to the Covid-19 pandemic. With the New Normal rules provide changes to the design of a living pharmacy park that has been designed before. This article aims to express the changes that occurred in the design of the living pharmacy park. The methods carried out are participatory methods and qualitative methods that are described descriptively. This article discusses the changing design sections that are adapted to the distance keeping rules. Redesign living pharmacy park is a work that combines design with the rules of New Normal covid 19.



2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Romain Quentin ◽  
Lison Fanuel ◽  
Mariann Kiss ◽  
Marine Vernet ◽  
Teodóra Vékony ◽  
...  

AbstractKnowing when the brain learns is crucial for both the comprehension of memory formation and consolidation and for developing new training and neurorehabilitation strategies in healthy and patient populations. Recently, a rapid form of offline learning developing during short rest periods has been shown to account for most of procedural learning, leading to the hypothesis that the brain mainly learns during rest between practice periods. Nonetheless, procedural learning has several subcomponents not disentangled in previous studies investigating learning dynamics, such as acquiring the statistical regularities of the task, or else the high-order rules that regulate its organization. Here we analyzed 506 behavioral sessions of implicit visuomotor deterministic and probabilistic sequence learning tasks, allowing the distinction between general skill learning, statistical learning, and high-order rule learning. Our results show that the temporal dynamics of apparently simultaneous learning processes differ. While high-order rule learning is acquired offline, statistical learning is evidenced online. These findings open new avenues on the short-scale temporal dynamics of learning and memory consolidation and reveal a fundamental distinction between statistical and high-order rule learning, the former benefiting from online evidence accumulation and the latter requiring short rest periods for rapid consolidation.



2020 ◽  
Vol 148 ◽  
pp. 107620
Author(s):  
T. Bryan Jackson ◽  
Ted Maldonado ◽  
Sydney M. Eakin ◽  
Joseph M. Orr ◽  
Jessica A. Bernard


2020 ◽  
Author(s):  
Romain Quentin ◽  
Lison Fanuel ◽  
Mariann Kiss ◽  
Marine Vernet ◽  
Teodóra Vékony ◽  
...  

AbstractKnowing when the brain learns is crucial for both the comprehension of memory formation and consolidation, and for developing new training and neurorehabilitation strategies in healthy and patient populations. Recently, a rapid form of offline learning developing during short rest periods has been shown to account for most of procedural learning, leading to the hypothesis that the brain mainly learns during rest between practice periods. Nonetheless, procedural learning has several subcomponents not disentangled in previous studies investigating learning dynamics, such as acquiring the statistical regularities of the task, or else the high-order rules that regulate its organization. Here, we analyzed 506 behavioral sessions of implicit visuomotor deterministic and probabilistic sequence learning tasks, allowing the distinction between general skill learning, statistical learning and high-order rule learning. Our results show that the temporal dynamics of apparently simultaneous learning processes differ. While general skill and high-order rule learning are acquired offline, statistical learning is evidenced online. These findings open new avenues on the short-scale temporal dynamics of learning and memory consolidation and reveal a fundamental distinction between statistical and high-order rule learning, the former benefiting from online evidence accumulation and the latter requiring short rest periods for rapid consolidation.





Religions ◽  
2018 ◽  
Vol 9 (11) ◽  
pp. 347
Author(s):  
Mareike Gerundt ◽  
Markus Warode

Saint Clare and leadership? A lot of research on her person has been done in recent years. However, her importance for today’s management has not been taken into account. In this article, we will look more closely at her understanding of leadership and how the medieval saint led the community of her sisters. To do this, we first look at biographical reports and written testimonies (about and written by her) that characterize her leadership actions and behavior. First and foremost, it was her endeavor to lead a life according to Jesus Christ under the privilege of poverty. In this presentation, the excerpts from the canonization process and passages of her order rule are of central importance. These testimonies provide valuable information on her understanding and her leadership style. Her biography, her leadership, and the values that shape her actions provide valuable insights into today’s leadership challenges. Through her example, St. Clare can help us to train ourselves as authentic leaders and to reflect on our own leadership and values. She can sensitize people to cultivate an appreciative inner attitude in dealing with others and thus develop our own effect as (leadership) personalities.



2017 ◽  
Vol 60 (4) ◽  
pp. 861-871 ◽  
Author(s):  
Long Wang ◽  
Nieves Castro-Gonzalez ◽  
Jianlong Chen

AbstractLetRbe a ring andb,c∊R. In this paper, we give some characterizations of the (b,c)-inverse in terms of the direct sum decomposition, the annihilator, and the invertible elements. Moreover, elements with equal (b,c)-idempotents related to their (b,c)-inverses are characterized, and the reverse order rule for the (b,c)-inverse is considered.



Neuroscience ◽  
2017 ◽  
Vol 345 ◽  
pp. 99-109 ◽  
Author(s):  
P.E. Dickson ◽  
J. Cairns ◽  
D. Goldowitz ◽  
G. Mittleman


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