The traditional mixing ventilation is not an energy effective approach to remove indoor air pollutants, maintain breath zone air quality, and control the airborne transmission. This study investigated the potential of a localized laminar airflow ventilation system to alleviate human exposure to pollutants. Breathing thermal manikins with sitting posture and supine posture were used to simulate the human. N2O was used as the tracer gas to simulate the indoor pollutant emission. The contaminant exposure index (εexp) and intake fraction index (IF) were used to assess the risk of human pollutant exposure for various supply air velocities given different emission source positions. Enhanced pollutant removal efficiency (Eff) (from the result) showed the qualification and desirability of the localized laminar airflow ventilation system in improving the breath zone air quality. The results showed that the CFD results could fit well with the experimental data and found out the interaction between thermal plume and supply air. The results also indicated a low εexp and IF, with over 90%, all of which were highly correlated with the supply velocity. Human's different breathing methods have little influence on the pollutant exposure so as to the location of the pollution source. This study found that localized laminar airflow ventilation system could efficiently provide fresh air to the breathing zone without sacrificing the thermal environment around human. It can be used for small region air quality control such as that in the bedroom and living room where desired air quality is favored.The notable environmental concerns of the halogen-containing obnoxious conventional refrigerants have grounded to devise the environmentally benign and efficient cooling system. In view of this alarming issue, an experimental model cooling system based on pressure swing adsorption-desorption (PSAD) mechanism has been contrived for its performance assessment and analysis of isotherm modeling. The physicochemical properties of the wood apple (Limonia acidissima) shell-derived carbonized char are enhanced by multi-stage activation to obtain two activated carbon granular adsorbents viz. PCACG and ACG towards their application in the proposed system. The performance indicative microporous characteristics of the adsorbents are investigated, and it is observed that the indigenously prepared activated carbon possesses high surface area, i.e., 1065 m2 gm-1 and 1023 m2 gm -1 for PCACG and ACG, respectively. Carbon dioxide and bio-precursor-based adsorbents are used as adsorbent-adsorbate pair in the developed single-bed cooling system. The coefficient of performance (COP) of the cooling system are computed to be 4.93 and 2.79 utilizing PCACG and ACG, respectively while the cooling effects are quantified as 146.26 J s -1 and 128.48 J s-1.Besides, the CO2 gas adsorption mechanism onto solid adsorbent surfaces has been interpreted by Langmuir, Dubinin-Raduskevich (D-R), and Dubinin-Astakhov (D-A) isotherm models. Among them, D-A isotherm has accurately predicted the adsorption mechanism of carbon dioxide on to adsorbent. Importantly, the cost estimation of preparing PCACG and ACG exhibited the cost-effectiveness for their successful application. Based on their comparative characteristics, it is observed that the PCACG adsorbent is more energy efficient than ACG in the long run.Special mining methods and red soil lead to large-scale land degradation and desertification in ion-type rare earth (RE) mining areas. Therefore, it is crucial for ecological management and restoration of mining areas to accurately understand the evolution process of desertification. In this study, remote sensing Landsat images from 1986 to 2019 were used to extract desertified land information from the Lingbei mining areas, Dingnan County, Ganzhou, China. To improve the reliability of the experiment, samples selected from Google images were used for verification to compare the accuracy of the desertification difference index (DDI) model and random forest (RF) algorithm for extracting land desertification information. The results showed that compared with the DDI model, the overall accuracy and kappa coefficient of the RF model based on multiple features were improved by 7% and 9.37%, respectively, indicating its higher applicability. Spatiotemporal change analysis of desertification in the mining area showed that the total area of desertification in the mining area increased most rapidly during 1986-1994 and reached 60.75 km2. The area of desertified land increased continuously from 1994 to 2004 and reached a maximum of 143.08 km2 in 2004. The area of desertified land decreased by 50.27 km2, but the severe desertified land (SDL) area increased by 1.69 km2 during 2004-2011. The area of desertified land gradually declined and stabilized from 2011 to 2019. Analysis of the desertification process in mining areas under different disturbance conditions showed that the desertified land disturbed by RE mining was most severely damaged. There is still an area of 16.77 km2 in the process of restoration, of which 2.24 km2 belongs to the SDL level. Moderate desertified land (MDL) and light desertified land (LDL) have not been completely contained and require the attention of the relevant departments to ensure their timely reclamation.Black TiO2 and graphene oxide (GO) have attracted intensive attention as an effective catalyst on visible light driven for photodegrading of dyes. In this study, nano-black TiO2 was prepared by a simple hydrogenation of the anatase titanium oxide, and the graphene oxide was prepared by applying the modified Hummers method. The diffuse reflectance spectroscopy has been investigated to find out the optical energy gaps of the treated and nano-black samples. The prepared powders and nanofiber membranes are carefully examined to ensure their single phase and compound structure formation as well as to measure the equivalent crystallite size and particle distributions. https://www.selleckchem.com/products/10-dab-10-deacetylbaccatin.html The optimum degradation efficiency of malachite green and methylene blue dyes occurred at pH values of 8 and 10, respectively. The maximum photocatalytic degradation efficiencies of malachite green (MG) and methylene blue (MB) were found to be 74 and 39%, respectively, under visible light after 30 min. The degradation efficiency of MG is peaked at pH 8 and 20 mg of the nano-black TiO2.