scholarly journals Window-opener as an example for environment measurement and combined actuation of smart hydrogels

2021 ◽  
Author(s):  
Adrian Ehrenhofer ◽  
Martin Elstner ◽  
Angelos Filippatos ◽  
Maik Gude ◽  
Thomas Wallmersperger
Keyword(s):  
Environment Measurement

scholarly journals A Wireless Sensor Network for Growth Environment Measurement and Multi-Band Optical Sensing to Diagnose Tree Vigor

Sensors ◽  
2017 ◽  
Vol 17 (5) ◽  
pp. 966 ◽  
Author(s):  
Shinichi Kameoka ◽  
Shuhei Isoda ◽  
Atsushi Hashimoto ◽  
Ryoei Ito ◽  
Satoru Miyamoto ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Optical Sensing ◽  
Wireless Sensor ◽  
Growth Environment ◽  
Environment Measurement ◽  
Multi Band

scholarly journals STUDI EKOLOGI SUMBERDAYA TERIPANG DI NEGERI PORTO PULAU SAPARUA MALUKU TENGAH

2014 ◽  
Vol 1 (1) ◽  
pp. 32-42
Author(s):  
Yona Aksa Lewerissa
Keyword(s):  
Sea Cucumber ◽  
Water Environment ◽  
Turbidity Current ◽  
Line Transect ◽  
Community Structures ◽  
Sea Cucumbers ◽  
Environment Factors ◽  
Line Transect Method ◽  
Environment Measurement

Background: Decreasing of sea cucumber resources on numbers and size of fishing capture in Negeri Porto waters influenced its community structures. Further, water environment steadiness will questionable. For this reason, study was done to analyzed community structures of sea cucumbers include of numbers species found, density, potency, species presence frequency, distribute pattern, ecology index and environment measurement. Method: Research done on February to May, 2008 at Negeri Porto used Line Transect Method. Result: showed there were eight species of sea cucumbers found (potency as much as 12.286 individuals). Bohadschia marmorata got highest in numbers species found, density, potency and species presence frequency. There were three distribute pattern of sea cucumbers found wich are uniform, random and group. Conclusion: Sea cucumbers diversity was in lower, species are closed to compatible. B. marmorata and Holothuria edulis are tends to dominate this water. Environment factors such temperature, pH, salinity, DO, turbidity, current and sediment distribute showed that Porto waters was suitable to sea cucumbers growth.

scholarly journals Berrikuntza Haur Hezkuntzako kanpo espazioan: diseinuaren kalitatea eta haurraren jolasa

Tantak ◽  
2017 ◽  
Vol 29 (1) ◽  
pp. 123-146
Author(s):  
Marta Artola ◽  
Iñaki Larrea ◽  
Alexander Barandiaran
Keyword(s):  
Outdoor Environment ◽  
Measurement Scale ◽  
Environment Measurement

El objetivo del presente trabajo consistió en realizar y validar una innovación en un espacio exterior de Educación infantil. Se midió la calidad de las interacciones, de la configuración para el juego y el aprendizaje, del programa y del rol del profesor en el espacio exterior con anterioridad y posterioridad a la innovación a través de Preschool Outdoor Environment Measurement Scale. A su vez, se observó a una maestra y a 26 niños y niñas de cuatro años mientras utilizaban el espacio con el objeto de identificar a qué, con qué y cómo jugaban. Los resultados obtenidos pusieron de manifiesto que, tras la innovación, la calidad del espacio exterior mejoró en las dimensiones de interacciones, configuración para el juego y el aprendizaje y el programa. Por el contrario, no se halló ninguna diferencia en la dimensión del rol de profesor. Por lo que respecta al juego, se observaron episodios de juego más diversos después de realizar la innovación.

scholarly journals The Indoor Environment Measurement Analysis of Arcade-Type Markets in Korea

2006 ◽  
Vol 5 (1) ◽  
pp. 191-198 ◽  
Author(s):  
Byungseon Sean Kim ◽  
Jiwoong Roh ◽  
Taeyoen Kim ◽  
Kwangho Kim
Keyword(s):  
Indoor Environment ◽  
Measurement Analysis ◽  
Environment Measurement

scholarly journals DEVELOPING AND TESTING AN ASSISTED LIVING ENVIRONMENT MODEL

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S637-S638
Author(s):  
Sarah D Holmes ◽  
Elizabeth Galik ◽  
Barbara Resnick
Keyword(s):  
Built Environment ◽  
Assisted Living ◽  
Well Being ◽  
Measurement Model ◽  
Living Environment ◽  
Equation Modeling ◽  
Dissemination And Implementation ◽  
Age In Place ◽  
The Impact ◽  
Environment Measurement

Abstract The assisted living (AL) environment plays an important role in supporting residents’ life satisfaction and helping them to age in place. Guided by ecological theory, the AL environment is multidimensional and has many interrelated components including staffing (e.g. direct care workers, nursing, activity staff), services provided (e.g. medical, mental health, pharmacy), amenities offered at the setting (e.g. beauty salon, computer room, exercise facilities), and built environment features (e.g. walkability). Moreover, evidence suggests that aspects of the AL environment can enhance or detract from the physical function, well-being, social engagement, and behavioral outcomes among residents. The purpose of this study was to develop and test an integrative AL environment measurement model that includes indicators of staffing, services, amenities, and the built environment. Baseline data was used from a study testing the Dissemination and Implementation of Function Focused Care in AL. A total of 54 AL facilities across three states were included in the sample. Settings ranged in size from 31 to 164 beds with an average size of 82.2 (SD=26.2) beds and the majority were for profit facilities (n=41, 74.5%). Structural equation modeling was used to test the proposed model. Results showed that the model fit the data (chi-squared/df=1.86, p<.05; CFI=.858, RMSEA=.126). Having an integrative AL environment measurement model will advance future research that explores the impact of the environment on resident outcomes. In addition, findings from this study can inform interventions and programs designed to modify AL environments to optimize residents’ ability to age in place.

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