A study on the impact of Visible Green Index and vegetation structures on brain wave change in residential landscape

The closed head impact problem was idealized as a fluid-filled cylinder attached to a spring-dashpot element striking a rigid wall. The rigid cylinder represents the skull, the fluid denotes the brain, and the cerebrospinal fluid (CSF) and spring-dashpot simulate the composite elastic and dissipative properties of the helmet, hair, skin, skull, and the real wall. The exact closed-form wave-propagation solution was obtained by exploiting the hyperbolic nature of the Laplace transformed equations. The infinite series solution suitable for all values of time was also obtained via the residue theorem. The system response was found to be dependent on 4 dimensionless ratios: 1. The brain to skull mass. 2. The skull to closed brain stiffness. 3. The damping factor of the skull. 4. The impact velocity to the brain wave speed. Results were presented for a range of parameter values realistic to the head injury problem. The severity of the impact was evaluated by the ratio between the cavitation duration at contrecoup and the contact duration between the head and the wall.

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Designing meditation for doctor well-being: can ‘Om’ help obstetrics and gynaecology doctors?

Australasian Psychiatry ◽

10.1177/1039856219891589 ◽

2020 ◽

Vol 28 (3) ◽

pp. 342-347 ◽

Cited By ~ 1

Author(s):

Rosie Allen ◽

Andrew Robinson ◽

Shelley Allen ◽

Elizabeth Nathan ◽

Edwina Coghlan ◽

...

Keyword(s):

Stress Responses ◽

Salivary Cortisol ◽

Physiological Stress ◽

Brain Activity ◽

High Stress ◽

Depression Scale ◽

Well Being ◽

Brain Wave ◽

Obstetrics And Gynaecology ◽

The Impact

Objective: The study aimed to measure the impact of meditation on participants’ ability to regulate brain wave activity in high-stress situations, control physiological stress responses and improve subjective wellbeing. Methods: Twelve obstetrics and gynaecology (O&G) doctors meditated for 20 minutes daily for 21 days utilising a portable EEG (electroencephalogram) providing instantaneous audio feedback. Their brain activity levels and salivary cortisol were measured before and after performing three surgical procedures. Participants were interviewed about their experiences and completed self-ratings of distress (e.g. DASS-21, Depression, Anxiety and Depression Scale). Data were analysed statistically and thematically. Results: (a) Measures of pre- and post-operative brain activity showed no significantly higher levels of alpha waves. (b) Pre- and post-operative salivary cortisol levels did not significantly decrease. (c) DASS-21 scores showed significant decreases in levels of anxiety and stress. Conclusion: Results suggest that, with biofeedback meditation, O&G doctors can learn to reduce situational stress and improve mood overall through a focussed intervention.

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Spatial-Temporal Variation of Air PM2.5 and PM10 within Different Types of Vegetation during Winter in an Urban Riparian Zone of Shanghai

Atmosphere ◽

10.3390/atmos12111428 ◽

2021 ◽

Vol 12 (11) ◽

pp. 1428

Author(s):

Jing Wang ◽

Changkun Xie ◽

Anze Liang ◽

Ruiyuan Jiang ◽

Zihao Man ◽

...

Keyword(s):

Wind Speed ◽

Temporal Variations ◽

Ambient Atmosphere ◽

Hygroscopic Growth ◽

Outdoor Activities ◽

Vegetation Structures ◽

Vegetation Water ◽

Pm2.5 And Pm10 ◽

The Impact ◽

Pm Removal

Particulate matter (PM) in urban riparian green spaces are undesirable for human participation in outdoor activities, especially PM2.5 and PM10. The PM deposition, dispersion and modification are influenced by various factors including vegetation, water bodies and meteorological conditions. This study aimed to investigate the impact of vegetation structures and the river’s presence on PM in riparian zones. The spatial-temporal variations of PM2.5 and PM10 concentrations in three riparian vegetation communities with different structures (open grassland (G), arbor-grass (AG) and arbor-shrub-grass (ASG) woodlands) were monitored under relatively stable environment. The removal percentages (RP) and ratios of PM2.5 and PM10 were calculated and compared to identify the removal effect of vegetation structures and the river’s presence. It is found that: (1) when the wind was static (hourly wind speed < 0.2 m/s), the RP was ranked as follows: G > AG > ASG. When the wind was mild (0.2 m/s < hourly wind speed < 2 m/s), the RP was ranked as follows: G > ASG > AG. Generally, the G had the best removal effect during the monitoring period; (2) the lowest RP occurred in the middle of the G (–3.4% for PM2.5, 1.8% for PM10) while the highest RP were found in middle of the AG and ASG, respectively (AG: 2.1% for PM2.5, 6.7% for PM10; ASG: 2.4% for PM2.5, 6.3% for PM10). Vegetation cover changed the way of natural deposition and dispersion; (3) compared with static periods, PM removal percentages were significantly reduced under mild wind conditions, and they were positively correlated with wind speed during the mild-wind period. Thus, a piecewise function was inferred between wind speed and PM removal percentage; (4) for all three communities, the 1 m-to-river PM2.5/PM10 ratio was significantly lower than that at 6 m and 11 m, even lower than that in the ambient atmosphere. The river likely promoted the hygroscopic growth of PM2.5 and the generation of larger-sized particles by coagulation effect. Based on these findings, open grassland space is preferred alongside rivers and space for outdoor activities is suggested under canopies in the middle of woodlands.

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EXPLORE THE IMPACT OF NOISE STRESS INDUCED BRAIN WAVE PATTERN AND BEHAVIOUR ALTERATIONS IN WISTAR ALBINO RATS

Asian Journal of Pharmaceutical and Clinical Research ◽

10.22159/ajpcr.2022.v15i1.43731 ◽

2021 ◽

pp. 122-126

Author(s):

JEYAKUMARI P ◽

RAVINDRAN RAJAN

Keyword(s):

Learning And Memory ◽

Reference Memory ◽

Wave Pattern ◽

Albino Rats ◽

Brain Wave ◽

Behavioral Alteration ◽

Noise Stress ◽

Y Maze ◽

Wistar Albino Rats ◽

The Impact

Objective: The aim of the study is to investigate the impact of noise-induced stress and electroencephalogram (EEG) with behavioral alteration in male Wistar albino Rats. Methods: Adult albino rats were randomly divided into three groups. Each group contains six animals. Rats exposed to acute and sub-acute noise, stress (100 dB/4 h) were compared with control animals and assessed for learning and memory using an Eight-arm radial maze, Y-maze, T-maze and also monitoring of brain electrical activity showed by the electro encephalography. Results: The reference memory and working memory error increases, in acute and sub-acute noise stress. The amplitude and frequency also increase in frontal and occipital lobar when compared to control animals. Conclusion: Animals were exposed to noise stress showed learning and memory impairment and also changes in EEG wave pattern.

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Analysing the EEG Signal Effectiveness of Chiang Rai Arabica Drip Coffee on Individual Human Brainwave

ECTI Transactions on Computer and Information Technology (ECTI-CIT) ◽

10.37936/ecti-cit.2019132.194581 ◽

2020 ◽

Vol 13 (2) ◽

pp. 178-187

Author(s):

Cui Chenghu ◽

Santichai Wicha ◽

Roungsan Chaisricharoen

Keyword(s):

Eeg Signal ◽

Brain Wave ◽

Arabica Coffee ◽

Brain Waves ◽

Paired Samples ◽

Significant Difference ◽

Before And After ◽

The Impact ◽

Attention Level ◽

Individual Human

This study focused on the impact of local Arabica coffee on the level of attention of individual brain waves, and how coffee affects Human EEG Frequency. Local Arabica coffee is adopted in this study as a medium to wake up the Beta wave. The Personal brainwave data is then recorded through EEG equipment and classified. The result showed that local coffee is helping to improve people's attention level — the study conducted on fifty participants: twenty-five males and twenty-five females aged between twenty to thirty years old. Brainwaves or Electroencephalography are collected twice before and after drinking coffee to compare the effects of Arabica on human brain waves by using NeuroSky mindwave mobile. The paired sample t-test test was employed for comparing two groups of Beta brainwaves experiment. Besides, the k-means algorithm is used to perform data mining on brain waves, and the differential brain wave signal data is clustered and divided into three levels. The experimental results showed that there was a statistically significant difference between the two paired samples. Therefore, the results confirmed that local Arabica coffee has a direct impact on personal attention.

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Detection of trees features from a forestry area using airborne LiDAR data

INCAS BULLETIN ◽

10.13111/2066-8201.2021.13.1.23 ◽

2020 ◽

Vol 13 (1) ◽

pp. 225-236

Author(s):

Ioana VIZIREANU ◽

Andreea CALCAN ◽

Georgiana GRIGORAS ◽

Dan RADUCANU

Keyword(s):

Three Dimensional ◽

Digital Terrain Model ◽

Tree Height ◽

Point Clouds ◽

Horizontal Resolution ◽

Airborne Lidar ◽

Surface Model ◽

3D Point Clouds ◽

Vegetation Structures ◽

The Impact

The impact of anthropogenic actions on the environment and climate has recently increased the need to map the afforested areas. In this context, the three-dimensional (3D) measurement of vegetation structures plays an important role in having an efficient forest inventory and management. Nowadays, the airborne LiDAR (Light Detection And Ranging) system offers high horizontal resolution as well as vertical dimension information, making it possible to estimate both three-dimensional characteristics of individual trees and to identify the distribution of forest resources in the region. This study aims to present a processing approach for the determination of each tree’s position (X and Y location, as well as tree height) and its dimensions (crown diameter, area and volume) using geometrically accurate 3D point clouds (data sets were collected in a forested area in Argeș County, Romania). To a better understanding of the forest features and to explore the potential of remote sensing for such analysis, it was further exploited Digital Terrain Model (DTM), Digital Surface Model (DSM), and Canopy Height Model (CHM) derivation.

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The impact of blackcurrant juice on attention, mood and brain wave spectral activity in young healthy volunteers

Nutritional Neuroscience ◽

10.1080/1028415x.2017.1420539 ◽

2018 ◽

Vol 22 (8) ◽

pp. 596-606 ◽

Cited By ~ 3

Author(s):

A. W. Watson ◽

E. J. Okello ◽

H. J. Brooker ◽

S. Lester ◽

G. J. McDougall ◽

...

Keyword(s):

Healthy Volunteers ◽

Brain Wave ◽

Spectral Activity ◽

The Impact

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Impact of the Residential Landscape on Residents’ QOL: A Study from the Perspective of Sustainable Development

10.21203/rs.3.rs-301086/v1 ◽

2021 ◽

Author(s):

Hung Ho-Mo

Keyword(s):

Residential Environment ◽

Green Spaces ◽

Residential Landscape ◽

Perceptions And Attitudes ◽

Residential Quality ◽

Taipei City ◽

The Impact ◽

Selection Of ◽

Structured Questionnaire

Abstract Good residential quality is not only conducive to living comfort but also adds value to the residence. Therefore, whether it is for self-occupation purposes or investment purposes, individuals will inevitably consider the quality of a residence when deciding on ownership. In addition, most residents also expect to improve their residential environment through beautiful landscapes and green spaces because it affects their quality of life (QOL). This study examined the impact of the residential landscape on the quality of residential environment and on residents’ QOL in Taipei City. A structured questionnaire was developed to analyze participants’ perceptions and attitudes regarding these associations. The results revealed that most residents had expectations and demands concerning the residential landscape and they perceived that the benefits of the residential landscape influenced their QOL and whether they purchased the residence. Residents valued the residential environment, including green spaces and gardens. The residential landscape has an important impact on the selection of a residential location, and it plays a key role in enhancing residents’ QOL.

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The Impact of Music on Learning Brainwaves

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.950.339 ◽

2014 ◽

Vol 950 ◽

pp. 339-344

Author(s):

Fu Chien Kao ◽

Shin Ping R. Wang ◽

Chih Hsun Huang ◽

Yun Kai Lin ◽

Chih Chia Chen

Keyword(s):

Behavior Pattern ◽

Research Result ◽

Piano Music ◽

The Body ◽

Learning Activity ◽

Brain Wave ◽

Energy Formula ◽

And Behavior ◽

The Impact ◽

Positive Effect

Human behavior pattern is mainly dictated by cerebral activities called brain wave. Brain wave carries messages to all parts of the body and controls thought and behavior. Modern neuroscientists have divided brain wave into 4 different frequency sub-bands:δ (Delta)、θ (Theta)、α (Alpha)、and β (Beta) in order of frequency. Each sub-band has its own special physiological meaning and characteristic. This research from the perspective of cognitive neuroscience investigates how listening to different styles of music can influence learners ’learning activity. The experiment is conducted by having the subjects listening to different styles of piano music while performing logical reasoning at the same time. In addition, during the experiment, the variation of subject’s brain wave characteristic band with respect to different styles of music is recorded and analyzed. A learning brain wave energy formula is developed to compare the effects of different styles of music to the learning. The research result shows some specific styles of music have a positive effect in enhancing learning energy and improve learners learning efficiency.

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