PM10 Ratio Research Articles

Long-Term Proactive Treatment of Plaque Psoriasis with Calcipotriene/Betamethasone Dipropionate Foam Prolongs Remission and Reduces Relapses Irrespective of Patient Baseline Characteristics.

IntroductionThe phase 3 PSO LONG study (NCT02899962) demonstrated superior efficacy of proactive (PM) versus reactive management (RM) using calcipotriene 0.005%/betamethasone dipropionate 0.064% (Cal/BD) foam in adults with psoriasis. Here, we evaluated whether certain baseline parameters had an effect on time to first relapse (TTFR), number of relapses, and assessed interactions between treatment effect.MethodsPSO LONG included an initial 4-week open-label phase (once-daily Cal/BD foam) and a 52-week maintenance phase where patients were randomized to twice-weekly Cal/BD (PM) or vehicle foam (RM), with a 4-week once-daily Cal/BD foam rescue treatment for relapse. Baseline parameters analyzed using a stepwise variable selection procedure included body surface area, modified Psoriasis Area Severity Index (mPASI), Physician Global Assessment (PGA), body mass index, age, sex, Dermatology Life Quality Index, and duration of psoriasis. Continuous variables were divided into groups based on standard criteria.ResultsOverall, the effect of treatment on TTFR did not vary across any baseline parameters. Variables with a statistically significant effect on TTFR were: treatment group (PM vs. RM hazard ratio [HR]: 0.56; p < 0.001); PGA (moderate vs. mild HR: 1.42; severe vs. mild HR: 2.32; overall p = 0.009); mPASI (moderate vs. mild HR: 1.19; severe vs. mild HR: 1.77; overall p = 0.009); and sex (women vs. men HR: 1.26; p = 0.030). Variables with a significant effect on the number of relapses were: treatment group (PM vs. RM, rate ratio [RR] 0.52; p < 0.001); PGA at baseline (moderate vs. mild, RR 1.38; severe vs. mild, RR 2.22; overall p < 0.001); and mPASI (moderate vs. mild, RR 1.25; severe vs. mild, HR 1.70; overall p = 0.002).ConclusionAll patients benefitted from long-term PM versus RM with Cal/BD foam regardless of baseline characteristics, and the benefit of treatment increased with greater disease severity.Trial RegistrationClinicalTrials.gov identifier, NCT02899962.

Analysis of weather condition on thermal behavior utilization in solar device

This article investigates the seasonal changes of particulate matter (PM) attentions, their connection by meteorological in 2020 at a rural location in South India called Amaravati. PM2.5, PM10 absorptions have main winter (54.6727.87 g/m3; 86.269.79 g/m3), lowermost monsoon (9.673.97 g/m3; 24.889.54 g/m3). In addition, the estimated PM2.5/PM10 ratio was 0.49, with a low contribution (0.39) in the monsoon and a high contribution (0.63) in the winter, indicating coarse and fine particle dominance, respectively. With a Pearson correlation coefficient of 0.96, the association between PM concentrations was determined to be strongly positive. However, the impact of PM concentrations on meteorological parameters found a negative correlation during the period of study. The polar bivariate plots exposed considerable influence on PM2.5, breezes blew since the north-westerly as well as southeasterly directions.

Verification of fugitive emission of aeolian river dust and impact on air quality in central western Taiwan by observed evidence and simulation

Taiwan's rivers dry during the winter, exposing large areas of river bed and leading to airborne aeolian river dust. This study used PM10 and windspeed data taken from monitoring stations local to the Zhuoshui River (the river with the largest exposed area in Taiwan) to investigate the relationship between airborne river dust and air quality, and subsequently to estimate river dust emissions. During river dust events, PM10 concentrations were significantly and positively correlated with wind speeds exceeding 5 m/s (the critical wind speed). FPG Lunbei station, located downwind (south of the river) and the closest station to the river, recorded an average hourly PM10 concentration of 189 ± 193 μg/m3 an average correlation coefficient (r) of 0.94 between hourly PM10 concentration and average hourly wind speed, an average annual dust occurrence rate of 15%, and a maximum PM10 concentration exceeding 1000 μg/m3. PM2.5 increased with PM10, albeit at a disproportional rate. When hourly PM10 concentration exceeded 200 μg/m3, most of the particulates in the dust were coarse particulates (PM2.5–10). An hourly PM2.5/PM10 ratio of <20% was used to determine whether air quality is affected by river dust. As the PM10 concentration increases, the PM2.5/PM10 ratio decreases. It was concluded that soil moisture and surface roughness must be added into the estimations for producing simulated data. With these added, simulated results were highly consistent with observed hourly PM10 concentrations, with a Pearson correlation coefficient of 0.82. The simulations of hourly PM10 concentration were highly accurate and indicated that river dust from the Zhuoshui River contributed to substantial increases in downwind PM10 concentrations. December was the worst single month, accounting for 28.0% of PM10 dust created by the Zhuoshui River in the entire year. Air quality was, however, severely reduced just south of the Zhuoshui River throughout the fall and winter.

Spatial characteristics of the PM2.5/PM10 ratio and its indicative significance regarding air pollution in Hebei Province, China.

Particulate matter (PM) is the primary air pollutant in northern China. The PM2.5/PM10 ratio has been used increasingly as an indicator to reflect anthropogenic PM pollution, but its advantages compared with individual PM2.5 or PM10 concentrations have not been proven sufficiently by experimental data. By dividing Hebei Province (China) into seven natural ecological regions, this study investigated the spatial characteristics of the PM2.5/PM10 ratio and its relationships with PM2.5, PM10, economic density, and wind speed. Results showed that the PM2.5/PM10 ratio decreased from east to west and from south to north, with an annual average value in 2019 of 0.439-0.559. The characteristics of the spatial variation of the PM2.5/PM10 ratio were different to those of either PM2.5 or PM10 concentration, indicating that PM pollution reflected by the PM2.5/PM10 ratio is not entirely consistent with that by PM2.5 and PM10 concentrations. In comparison with PM2.5 or PM10 concentration, the PM2.5/PM10 ratio had higher (lower) correlation with economic density (wind speed), indicating that the PM2.5/PM10 ratio is a better indicator used to reflect the intensity of anthropogenic emissions of PM pollutants. According to the characteristics of the spatial variations of the PM2.5/PM10 ratio and the PM2.5 and PM10 concentrations, the seven ecological regions of Hebei Province were categorized into four different types of atmospheric PM pollution: "three low regions," "three high regions," "one high and two low regions," and "one low and two high regions." This reflects the comprehensive effect of the intensity of anthropogenic PM emissions and the atmospheric diffusion conditions.

Seasonal and vertical characteristics of particulate and elemental concentrations along diverse street canyons in South India.

The impact of street geometries on vertical dispersion of PMs (PM2.5 and PM10) in (1) non-street canyon (NSC), (2) street canyon (SC), and (3) street canyon with viaduct (SCV) was studied during four seasons. The chemical composition of the species was analysed for source apportionment. The mass concentration of PMs in canyons was in the order of SCV > SC > NSC, implicating the canyon effect. Independent of height, most of the PM concentrations in SC and SCV violated the National Ambient Air Quality Standards (NAAQS) and exceeded the World Health Organization (WHO) guidelines in all three street geometries. The vertical concentration trend of PMs was significant during winter and summer seasons in NSC and SC. The vertical trend of both PMs was significant during summer and monsoon seasons in SCV. The seasonal change in PMs' vertical trend was influenced by atmospheric stability, wind velocities associated with street morphology, and emission sources. The ratio of PM2.5/PM10 indicated the dominance of PM10 in all three locations. Among the estimated species, Fe (crustal and vehicle) and Na (sea salt and crustal) were abundant in PM2.5 and PM10, respectively. Estimation of enrichment factor (EF) revealed that most of the emission sources were anthropogenic in PM2.5 and natural in PM10. Principal component analysis (PCA) showed crustal/soil dust, vehicular emission, and sea salt to the common source profile for PMs. Specific contribution of smoking activity contributed to Be and Tl in PM2.5, which may be considered a site-specific source.

Influence of agricultural activities on atmospheric pollution during post-monsoon harvesting seasons at a rural location of Indo-Gangetic Plain

The emissions from agricultural activities significantly impact the air quality at local (rural) and regional scales. The study monitored the near real-time concentrations of emission from agrarian activities, i.e., particulate matter (PM10, PM2.5, PM1), traces gases and VOCs, along with meteorological parameters in a rural area of Indo-Gangetic Plains (IGP). As different agricultural activities take place simultaneously in the region, sampling period was divided into three phases based on regional agricultural activities as HB (harvesting-burning) period, BTS (burning-tillage-sowing) period and PFS (pesticide-fertilizer spray) period. The highest mean concentration (± standard deviation) of particulate matter, i.e., PM10, PM2.5, PM1 was observed during HB period as 151.0 ± 52.3, 94.7 ± 32.9 and 41.0 ± 16.3 μgm−3 followed by PFS as 121.7 ± 49.1, 87.8 ± 35.5 and 39.7 ± 15.7 μgm−3 and BTS period as 92.5 ± 38.8, 63.5 ± 28.4, 26.6 ± 10.9 μgm−3 respectively. The mean concentration of NO (8.4 ± 3.4 ppb), SO2 (5.8 ± 1.2 ppb), CO (0.9 ± 0.3 ppm), O3 (12.5 ± 3.3 ppb) was also highest during harvesting-burning period. In the burning-tillage-sowing period, the mean concentration of NO2 (31.0 ± 2.9 ppb), benzene (2.8 ± 0.6 μgm−3) and o-xylene (2.1 ± 0.3 μgm−3) were highest. The data of crop residue burning fires showed that during HB period, around 34,683 active fires were there in the region (state of Punjab), whereas, in studied district, the number of fire counts were 635. During the HB period, around 70% of the air masses were originated within a 500 km area, whereas during the BTS and PFS period, 75% and 86% of air masses were originated from 500 km region, respectively. The ratio of PM2.5/PM10 during study period ranged from 0.63 to 0.72 and was observed highest during PFS period. The current study investigated the influence of agricultural activities on air quality during post-monsoon season in a rural area of Indo-Gangetic Plains to understand the impact of these activities on air quality in the region and plan mitigation strategies.

Spatiotemporal Characteristics of Particulate Matters Concentration and Their Influence on Ambient Air Quality in Urban Regions of Khuzestan Province, Iran

One of the most concerning pollutants in the urban areas across the globe is particulate matter suspended in the Earth’s atmosphere. The main objective of the current investigation is to explore the spatial and temporal patterns of ambient air particles (PM10 and PM2.5) and PM2.5/PM10 ratio in different urban areas of Khuzestan province. In this way, the required data were gathered from the environmental protection organization based on hourly mean concentrations of PM10 and PM2.5 of 6 air pollution-monitoring sites for a period of 5-year. Results indicated that the average concentrations of PM10, PM2.5 and PM2.5/PM10 are about 134.14±39.23 µg/m3, 44.51±13.44 µg/m3 and 0.33±0.07, respectively. The examinations revealed a reductive trend on annual values of PMs based on temporal variations. A detailed investigation of the annual mean concentrations of PMs and PM2.5/PM10 based on spatial variations demonstrated the largest values for Naderi-Ahvaz and Abadan stations. Besides, the measured AQI was larger than 100 and the Exceedance Factor (EF) values of PM10 and PM2.5 ranged between 1.51-2.73 and 0.77-1.41. The statistical analysis obtained from linear regression revealed a significant positive relation between AQI and PM2.5 and PM10 with correlation coefficient (R2) of 0.8259 and 0.7934, respectively. Although the analysis and measurement revealed a reductive trend in the annual mean concentrations of PM2.5 and PM10, the measured AQI and EF values are still far from the standards of good quality and low pollution. Therefore, it is highly necessary to follow the air pollution protocols to control PM air pollution in Khuzestan province.

Characterization of Indoor Air Quality in Relation to Ventilation Practices in Hospitals of Lahore, Pakistan

Temporal variations of particulate matter (PM) and carbon dioxide (CO2 ) in orthopedic wards and emergency rooms of different hospitals of Lahore, Pakistan were investigated. Hospitals were classified into two groups, I (centrally air-conditioned) and II (non-central air-conditioned) based on the ventilation system. Statistical analysis indicated significantly lower PM and CO2 levels in centrally air-conditioned hospitals in comparison to non-central air-conditioned. The low indoor-outdoor (I/O) ratio of PM2.5 in the ward and emergency rooms of group I (0.62, 0.45) as compared to group II (0.70, 0.83), respectively, suggested that indoor spaces equipped with central air-conditioning systems efficiently filter particulates as compared to non- central air conditioning systems. Apart from the ventilation type, increased visitor and doctors’ activities, and cleaning sessions were observed to contribute significantly to indoor air quality. This study adds up to the understanding of temporal variations in PM emissions and the role of ventilation systems in context of hospitals in the urban centers in Pakistan. The findings can inform the development of intervention strategies to maintain the appropriate air quality in health care built environment in developing countries.

Characteristics and Meteorological Factors of Severe Haze Pollution in China

A severe haze pollution incident caused by unfavorable weather conditions and a northern air mass occurred in eastern, northern, northwestern, and southwestern China from January 15 to January 22, 2018. To comparatively analyze variations in PM2.5 pollution, hourly monitoring data and 24 h meteorological data were collected. Air quality observations revealed large spatiotemporal variation in PM2.5 concentrations in Handan, Zhengzhou, Xi’an, Yuncheng, Chengdu, Xiangyang, and Jinan. The daily mean PM2.5 concentrations ranged from 111.35 to 227.23 μg·m−³, with concentration being highest in Zhengzhou. Hourly mean PM2.5 concentration presented multiple U-shaped curves, with higher values at night and lower values during the day. The ratios of PM2.5 to PM10 were large in target cities and the results of multiscale geographic weighted regression model (MGWR) and Pearson correlation coefficients showed that PM2.5 had a significant positive or negative correlation with PM10, CO, NO2, and SO2. The concentration of PM2.5 was closely related to the combustion of fossil fuels and other organic compounds, indicating the large contribution of secondary aerosols to PM2.5 concentrations. The analysis of meteorological conditions showed that low temperature, low wind speed, and high relative humidity could aggravate the accumulation of regional pollutants in winter. Northwestern trajectory clusters were predominant contributions except in Jinan, and the highest PM2.5 concentrations in target cities were associated with short trajectory clusters in winter. The potential sources calculated by Weight Potential Source Contribution Function (WPSCF) and Weight Concentration-Weighted Trajectory (WCWT) models were similar and the highest values of the WPSCF (&gt;0.5) and the WCWT (&gt;100 μg·m−³) were mainly distributed in densely populated, industrial, arid, and semiarid regions.

Quantifying Air Pollutant Variations during COVID-19 Lockdown in a Capital City in Northwest China

In the context of the outbreak of coronavirus disease 2019 (COVID-19), strict lockdown policies were implemented to control nonessential human activities in Xi’an, northwest China, which greatly limited the spread of the pandemic and affected air quality. Compared with pre-lockdown, the air quality index and concentrations of PM2.5, PM10, SO2, and CO during the lockdown reduced, but the reductions were not very significant. NO2 levels exhibited the largest decrease (52%) during lockdown, owing to the remarkable decreased motor vehicle emissions. The highest K+ and lowest Ca2+ concentrations in PM2.5 samples could be attributed to the increase in household biomass fuel consumption in suburbs and rural areas around Xi’an and the decrease in human physical activities in Xi’an (e.g., human travel, vehicle emissions, construction activities), respectively, during the lockdown period. Secondary chemical reactions in the atmosphere increased in the lockdown period, as evidenced by the increased O3 level (increased by 160%) and OC/EC ratios in PM2.5 (increased by 26%), compared with pre-lockdown levels. The results, based on a natural experiment in this study, can be used as a reference for studying the formation and source of air pollution in Xi’an and provide evidence for establishing future long-term air pollution control policies.

Spatio-Temporal Variations of the PM2.5/PM10 Ratios and Its Application to Air Pollution Type Classification in China

Particulate Matter (PM) is an important indicator of the degree of air pollution. The PM type and the ratio of coarse and fine PM particles determine the ability to affect human health and atmospheric processes. Using the observation data across the country from 2015 to 2018, this study investigates the distribution and proportion of PM2.5 and PM10 at different temporal and spatial scales in mainland China; clarifies the PM2.5, PM10 and PM2.5/PM10 ratios interrelation; and classifies the dust, mixed, and anthropogenic type aerosol. It shows that the annual average concentration of PM2.5 and PM10 decreased by 10.55 and 8.78 μg m−3 in 4 years. PM2.5, PM10, and PM2.5/PM10 ratios show obvious while different seasonal variations. PM2.5 is high in winter and low in summer, while PM10 is high in winter and spring, and low in summer and autumn. Differently, the PM2.5/PM10 ratios are the highest in winter, and the lowest in spring. PM2.5/PM10 ratios show strong independence on PM2.5 and PM10, implying that it can provide extra information about the aerosol pollution such as aerosol type. A classification method about air pollution types is then further proposed based on probability distribution function (PDF) morphology of PM2.5/PM10 ratios. The results show that dust type mainly lies in the west of Hu-Line, mixed type pollution distributes near Hu-Line, and the anthropogenic type dominates over North China Plain and cities in southern China. The results provide insights into China’s future clean air policy making and environmental research.

Structural Characterization and Isotopic Abundance Ratio Analysis of the Consciousness Energy Healing Treated Ofloxacin

Ofloxacin is an antibiotic, useful against the number of bacterial infections. This scientific investigation was performed to identify the impact of the Trivedi Effect®-Consciousness Energy Healing Treatment on the structural properties and the isotopic abundance ratio of ofloxacin using sophisticated analytical techniques. Ofloxacin sample was divided into control and treated parts. Only the treated ofloxacin received the Consciousness Energy Healing Treatment remotely by a well-known Biofield Energy Healer, Mr. Mahendra Kumar Trivedi. The LC-MS spectra of both the samples of ofloxacin at retention time 3 minutes exhibited the mass of the protonated molecular ion peak at m/z 362.17 (M+H)+. The chromatographic peak area% of the treated ofloxacin (52.4%) was increased by 2.03% compared to the control sample (51.36%). The LC-MS based isotopic abundance ratio of PM+1/PM in the Biofield Treated ofloxacin was significantly increased by 22.43% compared with the control sample. Similarly, the GC-MS based isotopic abundance ratio of PM+1/PM in the Biofield Treated ofloxacin was significantly increased by 19.24% compared with the control sample. The LC-MS and GC-MS based isotopic abundance ratio of PM+1/PM (2H/1H or 15N/14N or 13C/12C or 17O/16O) was significantly increased in the Biofield Treated ofloxacin as compared to the control sample. Thus,2H, 15N, 13C, and17O contributions from (C18H21FN3O4)+ to m/z 363.17 in the treated ofloxacin were significantly increased compared with the control sample. The increased isotopic abundance ratio of the Trivedi Effect®-Consciousness Energy Healing Treated ofloxacin may increase the intra-atomic bond strength and increase its physical stability. The new form of treated ofloxacin would be more stable, better soluble, and bioavailable compared to the control sample. It would be more useful to design efficacious pharmaceutical formulations that might offer better therapeutic response against infections in the urethra, urinary tract, gonorrhoea, pneumonia, infectious diarrhoea, bronchitis, cellulitis, bacterial infection of the eye and ear, multidrug-resistant tuberculosis, prostatitis, otitis media, plague, etc.

Meteorological Influences on Urban Air Quality Parameters in Dhaka City

This study aims at investigating the effect of meteorological parameters on seasonal variation of particulate matter(PM) (both PM2.5 and PM10) using a 4-year (2013-2016) monitoring data of air quality parameters from CASE project implemented by the Department of Environment (DoE). Using monthly data of the Continuous Air Monitoring Station(CAMS) of Darus-Salam, Dhaka, cross correlation analysisis performed between PM and meteorological parameters where inverse relationships of PM with temperature, rainfall and relative humidity are found. Increased biomass burning during low temperature period, washout effect of rainfall, wet deposition mechanism of higher humidity may be held responsible for these negative correlations. Significant seasonal variation is observed from daily data analysis of Darus Salam station and it is found that winter PM concentrations are 4.5-5.5 times higher than monsoon PM concentrations. Seasonal cross-correlation between PM10 and PM2.5 shows lower correlation during winter (December-February) and monsoon (June-September) seasons. Two possible effects can attribute to this seasonal difference: i) presence of biomass burning during winter which increases PM2.5 and ii) presence of rainfall during monsoon which decreases PM10.PM2.5/PM10 ratios for different months indicate the contrasting influences of different mechanisms on different sized PM particles. PM2.5/PM10 ratio is found to be higher during December-February and lower during March- September with a rise in August, which indicates the effect of 3 mechanisms: i) dilution effect of wind speed on PM2.5 during December-February, ii) re-suspension effect of wind speed on PM10 during March-September and iii) more pronounced scavenging effect of rainfall on PM10 during August. The study indicates the need for properly accounting the influence of meteorology for better understanding of PM variation in urban areas in Bangladesh.&#x0D; Journal of Engineering Science 12(1), 2021, 1-8

Characteristics and sources of atmospheric pollutants in typical inland cities in arid regions of central Asia: A case study of Urumqi city.

The arid zone of central Asia secluded inland and has the typical features of the atmosphere. Human activities have had a significant impact on the air quality in this region. Urumqi is a key city in the core area of the Silk Road and an important economic center in Northwestern China. The urban environment is playing an increasingly important role in regional development. To study the characteristics and influencing factors of the main atmospheric pollutants in Urumqi, this study selected Urumqi’s daily air quality index (AQI) data and observation data of six major pollutants including fine particulate matter (PM2.5), breathable particulate matter (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), and ozone (O3_8h) from 2014 to 2018 in conjunction with meteorological data to use a backward trajectory analysis method to study the main characteristics of atmospheric pollutants and their sources in Urumqi from 2014 to 2018. The results showed that: (1) From 2014 to 2018, the annual average of PM2.5, PM10, SO2, NO2 and CO concentrations showed a downward trend, and O3_8h concentrations first increased, then decreased, and then increased, reaching the highest value in 2018 (82.15 μg·m-3); The seasonal changes of PM2.5, PM10, SO2, NO2 and CO concentrations were characterized by low values in summer and fall seasons and high values in winter and spring seasons. The concentration of O3_8h, however, was in the opposite trend, showing the high values in summer and fall seasons, and low values in winter and spring seasons. From 2014 to 2018, with the exception of O3_8h, the concentration changes of the other five major air pollutants were high in December, January, and February, and low in May, June, and July; the daily changes showed a “U-shaped” change during the year. The high-value areas of the "U-shaped" mode formed around the 50th day and the 350th day. (2) The high-value area of AQI was from the end of fall (November) to the beginning of the following spring (March), and the low-value area was from April to October. It showed a U-shaped change trend during the year and the value was mainly distributed between 50 and 100. (3) The concentrations of major air pollutants in Urumqi were significantly negatively correlated with precipitation, temperature, and humidity (P<0.01), and had the highest correlation coefficients with temperature. (4) Based on the above analysis results, this study analyzed two severe pollution events from late November to early December. Analysis showed that the PM2.5/PM10 ratio in two events remained at about 0.1 when the pollution occurred, but was higher before and after the pollution (up to 1.46). It was shown that the pollution was a simple sandstorm process. Backward trajectory analysis clustered the airflow trajectories reaching Urumqi into 4 categories, and the trajectories from central Asia contributed the maximum values of average PM2.5 and PM10 concentrations.

Characterization of the Consciousness Energy Healing Treated Cholecalciferol Using LC-MS and GC-MS Spectrometry

Vitamin D3 (cholecalciferol) is a fat-soluble vitamin, which widely used for the prevention and treatment rickets, osteoporosis, arthritis, Parkinson’s and Alzheimer’s diseases, autoimmune disease, dementia, glucose intolerance, etc. The impact of the Trivedi Effect®-Consciousness Energy Healing Treatment on the structural properties and the isotopic abundance ratio of cholecalciferol were evaluated using LC-MS and GC-MS spectroscopy. The test sample cholecalciferol was divided into control and treated parts. Only, the treated cholecalciferol was received the Trivedi Effect®-Consciousness Energy Healing Treatment remotely by a renowned Biofield Energy Healer, Dahryn Trivedi. The LC-MS spectra of both the samples at retention time (Rt) ~22 minutes exhibited the mass of the molecular ion peak at m/z 385.25 (calcd for C27H45O+, 385.35). The LC-MS based isotopic abundance ratio of PM+1/PM in the treated cholecalciferol was increased by 0.74% compared with the control sample. But, the GC-MS based isotopic abundance ratio of PM+1/PM and PM+2/PM in the treated cholecalciferol was significantly increased by 66.39% and 62.69%, respectively compared with the control sample. Hence,13C, 2H, 17O, and 18O contributions from C27H44O+ to m/z 386 and 387 in the treated cholecalciferol were significantly increased compared with the control sample. The isotopic abundance ratios of PM+1/PM (2H/1H or 13C/12C or 17O/16O) and PM+2/PM (18O/16O) in the treated cholecalciferol were significantly increased as compared to the control sample. The increased isotopic composition of the Trivedi Effect®-Consciousness Energy Healing Treated cholecalciferol might have altered the neutron to proton ratio in the nucleus via the possible mediation of neutrino. The increased isotopic abundance ratio of the treated cholecalciferol may increase the intra-atomic bond strength, increase its stability. The new form of cholecalciferol would be better designing novel pharmaceutical formulations that might be more stable and more efficacious for the prevention and treatment of various diseases such as vitamin D deficiency, rickets, osteoporosis, arthritis, multiple sclerosis, cancer, diabetes mellitus, mental disorders, cardiovascular diseases, hypertension, infections, influenza, cognitive impairment in older adults, Parkinson’s and Alzheimer’s diseases, autoimmune disease, dementia, glucose intolerance, multiple sclerosis, etc.

Study of the Consciousness Energy Healing Treatment and It’s Effect on the Isotopic Abundance Ratio of Ascorbic Acid (Vitamin C)

Ascorbic acid is a water-soluble vitamin (Vitamin C) essential for both the plants and animals for the metabolic process. In this study, the liquid chromatography-mass spectrometry (LC-MS) analytical technique was used to characterize the structural properties and isotopic abundance ratio to evaluate the effect of the Trivedi Effect®-Consciousness Energy Healing Treatment on L-ascorbic acid compared to the control sample. The ascorbic acid sample was divided into control and treated parts. Only the treated part received the Trivedi Effect®-Consciousness Energy Healing Treatment remotely by a well-known Biofield Energy Healer, Mahendra Kumar Trivedi. The control and treated samples showed a chromatographic peak at retention time (Rt) 1.8 minutes exhibited the deprotonated molecular ion peak at m/z 175 (M-H)- (calculated for C6H7O6-, 175.02) in the mass spectra. The peak area of the treated sample (12817614.01) was significantly increased by 8.81% compared to the control sample (11779918.9). The LC-MS based isotopic abundance ratio of PM+1/PM (2H/1H or 13C/12C or 17O/16O) in the treated ascorbic acid was significantly increased by 23.22% compared with the control sample. Thus,13C, 2H, and17O contributions from (C6H7O6)- to m/z 176 in the treated ascorbic acid were significantly increased compared with the control sample. The increased isotopic composition of the treated ascorbic acid might have altered the neutron to proton ratio in the nucleus. The changes in isotopic abundance could be due to changes in nuclei possibly through the interference of neutrino particles via the Trivedi Effect®-Consciousness Energy Healing Treatment. The increased isotopic abundance ratio and peak area of the treated ascorbic acid may increase the intra-atomic bond strength and its stability. This novel ascorbic acid after the Trivedi Effect®-Consciousness Energy Healing Treatment would be very useful to design more efficacious pharmaceutical formulations against scurvy, obesity, cardiovascular diseases, hypertension, rheumatoid arthritis, Alzheimer's disease, cancer, etc.

Evaluation of the Isotopic Abundance Ratio of Consciousness Energy Healing Treated L-Tryptophan Using LC-MS Spectrometry

L-tryptophan is an essential α-amino acid, necessary for the normal growth in newborns, nitrogen balance in adults, protein synthesis, precursor of serotonin, melatonin, niacin, and albeit inefficiently in human, also the precursor of indole alkaloids and auxins in plants. This current study was designed to investigate the impact of the Trivedi Effect®-Biofield Energy Healing Treatment (Blessing) on the structural properties and the isotopic abundance ratio of L-tryptophan using LC-MS analytical technique. L-tryptophan sample was divided into two parts, one part of L-tryptophan was considered as the control sample (no Biofield Energy Treatment was provided), while the second part was treated with the Trivedi Effect®-Consciousness Energy Healing Treatment/Blessing remotely by a renowned Biofield Energy Healer, Dahryn Trivedi and termed as the treated sample. The mass spectra of both the control and treated samples with respect to the chromatographic peak at retention time (Rt) 2.1 minutes exhibited the mass of the molecular ion peak adduct with hydrogen ion at m/z 205.08 (calcd for C11H13N2O2+, 205.1), along with low molecular fragmented mass peaks at m/z 188, 159, and 102 for C11H12N2O2+, C10H11N2+, and C8H6+, respectively were also observed. The isotopic abundance ratio of PM+1/PM (2H/1H or 13C/12C or 15N/14Nor17O/16O) in the treated L-tryptophan was significantly increased by 35.93% compared with the control sample. Hence,the 13C, 2H, 15N, and 17O contributions from C11H13N2O2+ to m/z 206.08 in the treated L-tryptophan was significantly increased compared to the control sample. It could be hypothesized that the changes in the isotopic abundance and mass peak intensities due to the modification in nuclei possibly through the interference of neutrino particles using the Trivedi Effect®-Consciousness Energy Healing Treatment. The Biofield Energy Treated/Blessed L-tryptophan with increased stable isotopic abundance ratio might have changed the physicochemical properties with higher force constant in the molecule. The new form of treated L-tryptophan would be a better and more stable in the supplements, nutraceutical, and pharmaceutical formulations, which would be advantageous for the prevention and treatment of pellagra, depression, kynurenine. It could also maintain the normal label of tryptophan and avoid increase of its metabolite, lower the neurotoxin and a metabotoxin behavior, glutaric aciduria type I (glutaric acidemia type I) disorder, eosinophilia-myalgia syndrome (EMS), incurable and sometimes fatal flu-like neurological condition, etc. As tryptophan is the precursor for the plant hormones like indole alkaloids and auxins, hence, this treated L-tryptophan would be advantageous for the improvement of yield, productivity, and quality of crops and other plants.

Increased respiratory morbidity associated with exposure to a mature volcanic plume from a large Icelandic fissure eruption

The 2014–15 Holuhraun eruption in Iceland was the largest fissure eruption in over 200 years, emitting prodigious amounts of gas and particulate matter into the troposphere. Reykjavík, the capital area of Iceland (250 km from eruption site) was exposed to air pollution events from advection of (i) a relatively young and chemically primitive volcanic plume with a high sulphur dioxide gas (SO2) to sulphate PM (SO42−) ratio, and (ii) an older and chemically mature volcanic plume with a low SO2/SO42− ratio. Whereas the advection and air pollution caused by the primitive plume were successfully forecast and forewarned in public advisories, the mature plume was not. Here, we show that exposure to the mature plume is associated with an increase in register-measured health care utilisation for respiratory disease by 23% (95% CI 19.7–27.4%) and for asthma medication dispensing by 19.3% (95% CI 9.6–29.1%). Absence of public advisories is associated with increases in visits to primary care medical doctors and to the hospital emergency department. We recommend that operational response to volcanic air pollution considers both primitive and mature types of plumes.

Analysis of indoor and outdoor particulate (PM2.5) at a women and children’s hospital in West Jakarta

Air quality monitoring is very important to provide public information about the impacts of air pollution on health, especially in health centers. Particulate less than 2.5 micrometer (PM2.5) is the main parameter of air pollution. This research aims to measure indoor and outdoor PM2.5 at a women and children’s hospital in West Jakarta. The method for collecting data of PM2.5 was with a low-cost sensor (LCS), which also collected temperature and humidity data. The LCS was collocated with two ambient air quality monitoring stations (AQMS) as the references. Field measurements at hospital were conducted for three months. The data are statistically analyzed with the openair model. The results show that LCS and AQMS followed a similar trend. Outdoor PM2.5 concentration is always higher than indoor. Peak hourly outdoor concentrations usually occur around midnight (24:00–03:00). The indoor peak concentrations are between 06:00–12:00. The indoor PM2.5 tend to be stable, while the outdoor varies throughout the day. The ratio of PM2.5 concentration (24-hour) indoor to outdoor is 0.8. In conclusion, the relation between indoor and outdoor air pollution is still not comprehensive due to temperature and humidity factors. All indoor and outdoor PM2.5 are above WHO Air Quality Guideline.

Influence of Wind Velocity and Soil Size Distribution on Emitted Dust Size Distribution: A Wind Tunnel Study

AbstractThe question of whether the emitted dust size distribution (EDSD) depends on wind velocity or soil size distribution (SSD) remains to be resolved. This study used wind tunnel tests to investigate the influence of wind velocity and SSD on EDSD. The results showed that EDSD was influenced by both wind velocity and soil texture, supporting the saltation bombardment theory. The ratios of PM2.5to PM10(RPM2.5/10) and PM1.0to PM10(RPM1.0/10), which reflect the EDSD in the range of 0–10 μm, both showed trends of increase with increasing friction velocity (u*) for all six tested soils. The trend of increase was more significant forRPM1.0/10than forRPM2.5/10, which indicates that the content of finer dust in the range 0–10 μm increased with increasingu*. Whenu*increased from 0.51 to 0.68 m s−1, the ranges of increase forRPM2.5/10andRPM1.0/10were most significant for sandy soils, followed by sandy loam soils and then loamy soils, indicating that the effect of wind velocity on EDSD increased with increasing sand content in the soils. The EDSD was also influenced significantly by the fully dispersed SSD, especially the sand and silt contents in the soils. TheRPM2.5/10andRPM1.0/10increased (decreased) logarithmically (linearly) with increasing sand (silt) content in these soils. The finding of this study represents enrichment of data regarding EDSD, which could lead to greater understanding of the roles of wind velocity and SSD in relation to EDSD.