Designing a Negative Air Ions Distribution Pattern for Human Health in a House Garden by Using Geostatistical Approach and a Negative Air Ion Generates Experiment

2011 ◽  
Vol 121-126 ◽  
pp. 2648-2652
Author(s):  
Chen Fa Wu ◽  
Wen Huang Lin

The purpose of this research is to design a negative air ions (NAI) distribution for a house garden in enhancing human health. This study presented an effective approach in integrating air ion monitoring, variograms, Kriging and sprinkler experiment, based on a case study in central Taiwan. Twelve months monitoring of the air ion at thirty sample sites is an effective method for generating spatial and temporal NAI concentrations in the study areas. The measurement results showed that the lowest mean and standard deviation of NAI occurred in January. The highest mean and standard deviation value of NAI occurred in July and June. Factors that impact NAI concentration include types of NAI source, landscape layout, distances to NAI source. The ability of waterfall to generate NAI is larger than sprinkler. The area close to waterfall and far to sprinkler is high NAI concentration. Kriging estimation is useful in evaluating and mapping of spatial negative air ions patterns in a house garden. The maps showed the highest NAI next to the waterfall and lower NAI are the areas next to the entrance of the garden and residence. An experiment found that sprinkler has high ability to generate NAI through the Lenard effect. According to the map which sums up the twelve months NAI concentration, the study garden should set up three sprinklers to increase 5.28 times more NAI concentration, increases 7.56 times of mean NAI when there was any sprinkler. This study provides a hybrid approach to assess and mapping the patterns of negative air ions for future garden design with health concept.

2012 ◽  
Vol 178-181 ◽  
pp. 747-750
Author(s):  
Yu Guo Zhuo ◽  
Jun Liu

The concept and occurrence mechanism of negative air ions (NAI) was introduced and its health care function was described. Through observing NAI concentration of six spots in Beidaihe in China, NAI evaluation standard which has seven grades is put up and the relationship between negative air ion quantity and human health is clarified clearly.


2018 ◽  
Vol 19 (10) ◽  
pp. 2966 ◽  
Author(s):  
Shu-Ye Jiang ◽  
Ali Ma ◽  
Srinivasan Ramachandran

Negative air ions (NAIs) have been discovered for more than 100 years and are widely used for air cleaning. Here, we have carried out a comprehensive reviewing on the effects of NAIs on humans/animals, and microorganisms, and plant development. The presence of NAIs is credited for increasing psychological health, productivity, and overall well-being but without consistent or reliable evidence in therapeutic effects and with controversy in anti-microorganisms. Reports also showed that NAIs could help people in relieving symptoms of allergies to dust, mold spores, and other allergens. Particulate matter (PM) is a major air pollutant that affects human health. Experimental data showed that NAIs could be used to high-efficiently remove PM. Finally, we have reviewed the plant-based NAI release system under the pulsed electric field (PEF) stimulation. This is a new NAI generation system which releases a huge amount of NAIs under the PEF treatment. The system may be used to freshen indoor air and reduce PM concentration in addition to enriching oxygen content and indoor decoration at home, school, hospital, airport, and other indoor areas.


2018 ◽  
Vol 33 (1) ◽  
pp. 27-46 ◽  
Author(s):  
FT Lazzerini ◽  
MT Orlando ◽  
W De Pra

Author(s):  
Y. F. Zhang ◽  
A. Y. C. Nee ◽  
J. Y. H. Fuh

Abstract One of the most difficult tasks in automated process planning is the determination of operation sequencing. This paper describes a hybrid approach for identifying the optimal operation sequence of machining prismatic parts on a three-axis milling machining centre. In the proposed methodology, the operation sequencing is carried out in two levels of planning: set-up planning and operation planning. Various constraints on the precedence relationships between features are identified and rules and heuristics are created. Based on the precedence relationships between features, an optimization method is developed to find the optimal plan(s) with minimum number of set-ups in which the conflict between the feature precedence relationships and set-up sequence is avoided. For each set-up, an optimal feature machining sequence with minimum number of tool changes is also determined using a developed algorithm. The proposed system is still under development and the hybrid approach is partially implemented. An example is provided to demonstrate this approach.


2021 ◽  
pp. 131200
Author(s):  
Saili Zhang ◽  
Xiangjun Fang ◽  
Weijie Wu ◽  
Chuan Tong ◽  
Hangjun Chen ◽  
...  

2021 ◽  
Author(s):  
Amishi Bhatt ◽  
Dhyey Kothari ◽  
Charmy Kothari ◽  
Ramesh Kothari

Most of our gut microbiota live with us in a mutually beneficial life-long relationship. The gut microbiota plays a vital role in the host’s overall health through its metabolic activities. Human microbiota might be supported by consuming friendly bacteria (probiotics) and consuming foods to improve the microbiota (prebiotics). During the last two decades, probiotics’ interest has increased with rising scientific shreds of evidence of benefits on human health. Hence, they have been exploited as various food products, mainly fermented foods. Probiotics as a treatment modality may restore normal microbiota and functioning of the gastrointestinal (GI) tract. Strong scientific evidence is associating these bacteria with the prevention and therapy of various GI disorders. (In light of the ongoing trend of probiotics, further research is needed to obtain the perspective of potential applications for better health. Probiotic applications have been extended from health applications to food and agricultural applications. The benefits of probiotics led to its applications in probiotic ‘health food’ industries and agricultural sectors.


2008 ◽  
Vol 401 (1-3) ◽  
pp. 176-183 ◽  
Author(s):  
Kezhou Cai ◽  
Xuelan Liu ◽  
Yongjian Xu ◽  
Chong Ren ◽  
Hua Chen ◽  
...  

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