Since zeolite have been widely used for several industries, including paint, paper, fertilizer, building, textiles, and agriculture, it is important to measure the radionuclides concentrations to determine the health effect and to protect environment. To determine the activity concentrations and distribution of naturally occurring radionuclides, twenty-eight zeolite rock and soil samples were collected from Jabal Shamah in Jeddah, in the Makkah region of Saudi Arabia. Furthermore, two 500G artificial zeolite samples that Sigma Life Science brought from Germany were analyzed. The measurements were performed using gamma-ray spectrometry of NaI (Tl) detector. In zeolite rock samples, the mean activity concentrations of 226Ra, 232Th, and40K were, respectively, 35.7± 1.8 Bq/kg, 29.3± 1.5 Bq/kg, and 282.9± 4.7 Bq/kg respectively while 226Ra, 232Th, and 40K concentrations in zeolite soil samples were 27.9 ± 1.4 Bq/kg, 23.1 ± 1.2 Bq/kg, and 293.0 ± 14.7 Bq/kg, respectively. But for 226Ra, 232Th, and 40K artificial zeolite samples, the activity concentrations were 82.2 ± 4.17 Bq/kg, 69.6 ± 3.52 Bq/kg, and 739.3 ± 37.0 Bq/kg, respectively. The levels of radiation hazard metrics, including internal and external hazard, radium equivalent activity annual dose, and other recommended limits by the International Commission on Radiological Protection (ICRP), were also calculated and compared with others. Furthermore, the concentrations of the heavy elements and their oxides were measured using x-ray fluorescence (XRF); the findings were compared with literature descriptions of ranges from other regions of the world.

Protected and unprotected sites both exist in karst landform, karst forest is a fragile and low-biomass ecosystem with barren soil and low resilience and resistance capabilities to disturbance, the protected site is the place where a place whose vegetation are well protected by the indigenous people who live nearby based on their beliefs, the unprotected site is comprised of rocky karst formations that contain the areas of exposed bedrock due to human disturbance. The study is about comparison of carbon biomass and storage of ecosystem in the protected and unprotected area, the carbon biomass and stocks of protected and unprotected ecosystems were studied through field work, laboratory analysis and statistic at Luocheng, Guangxi, China. The results showed that vegetation, soil and litter carbon storage of protected ecosystems were 7.42, 5.9 and 1.1 times of unprotected ecosystems respectively, the biomass of protected ecosystem was 6.07 times of unprotected. Carbon storage were 137.06, 93.73 t.hm-2 at protected and unprotected ecosystems respectively, soil carbon storage contributed most in two ecosystems, and understory and litter contributed less. The comparison of carbon storage of protected and unprotected area reflects the importance of protecting karst forest, keeping traditional aboriginal culture means a lot for protecting ecological environment and improving carbon sequestration.

Intestinal parasitic infection is considered among the most common communicable diseases worldwide, particularly in developing countries. Worldwide, about 3.5 billion people are affected, and 450 million are ill as a result of these infections, the worst affected are children. The objective of this study was to assess prevalence of intestinal parasites infection and associated risk factors among school children in Taif primary school. descriptive study was conducted by involving 150 school children were investigated for the spectrum, proportion and epidemiology of various kinds of enteropathogens. For 4 months, stool specimens were collected and examined for parasites using direct smear and formal-ether concentration technique. Overall, 12% were found positives for enteropathogens. Infections were more prevalent in males than in females. The spectrum of enteric pathogens were including Giardia lambelia(3%), Cryptosporidium parvum (3%), Blastocystis hominis (4%), and Entamoeba histolytica (2%).

Due to much development in technologies, Electrical Distribution Systems now-a-days is experiencing many changes. One of the advancement occurs in metering system infrastructure having large number of smart meters being used in smart grids that are producing tremendous amount of data in terms of system parameters. This data is required for various applications like frequency control, steady state analysis and much more. This paper presents Singular Value Decomposition method for lossy data compression in smart grids. This technique is quite efficient for long transmission of data over the large network with the accurate recovery of the original data at the receiver end.

Regarding the remarkable effect of cement industry on the economy of cement-producing countries, one of the main concerns of this industry is to prevent accidents and their consequent costs. This investigation presents the relationship between safety climate and safety performance with regard to safety knowledge and safety motivation in cement industry. Data were collected from 230 workers of cement industry in Iran using a questionnaire. The relationships between variables and analysis of collected data were tested by structural equation modelling. The results of this study indicate that safety climate has a positive effect on safety performance. Also, management safety commitment is positively or negatively related to the social support and production pressure. There is a positive and negative relationship between social support and production pressure with safety knowledge and safety motivation, respectively. The integrative model suggested that it is significant to promote the safety knowledge and belief on all levels of organization to develop spontaneous activities and raise safety in the intended organization. Consequently, individual safety considerations are remarked to increase the safety of workplace environment, workers and production.

Data has been generated and acquired at rapid speed involves volume which creates challenges to develop automatic and real time decision making techniques. Research in social Bigdata becomes frontier in the areas of information science, E-commerce, environmental sciences, online advertisement, and many more. Social media data is big and dynamic in nature makes traditional data warehouses ill suited and demands for the distributed processing and storage environment. Bigdata analytics creates various challenges for recent data management architectures. One fundamental challenge originates from streaming nature of Bigdata, which instrument cost-effective algorithms for querying and analysing scalable, uninterrupted data streams, with finite memory and resources. This research is aimed to review different research activities related to Bigdata, in addition, proposes architecture for streaming Bigdata to perform analysis of twitter data in distributed environment i.e. Hadoop that normally uses master-slave architecture for storing data, and map-reduce technique for processing data in batches. Similarly Apache Hive, the NOSQL database is used to work on top of Hadoop for querying and Apache Flume to make it suited for streaming Bigdata.

Some Physical properties (Density, viscosity and refractive index) of quaternary liquid mixture (2,5 Hexandione + CycloPentanol + CycloHexanol + 3-Heptanol) of different mole fraction of the components have been measured at 298.15K .From the experimental density, viscosity and refractive index the values of Excess volume (VE), deviation of viscosity (Δɳ), deviation of refractive index (Δn) and Excess Gibb’s free energy of activation of flow (ΔGE) have been calculated. the nature of molecular interactions between the components of liquids mixtures has been explained due to interaction parameters and excess properties. The FTIR spectrum shows a drastic change in the frequency and intensity after mixing of organic compounds at all entire range of mole fraction under study. The shift in the frequency values might be due to H-bonding or dipole -induced dipole interaction.

There is growing tendency to include consumer participation in the modern electricity market for flexible and economic power system operation. Microgrid can effectively integrate various intermittent renewable sources and allow active participation of consumers in the load dispatch. This paper solves the bi-objective dynamic environmental economic dispatch of the grid connected microgrid system consisting of conventional thermal generators, wind generator and solar generating sources. The incentive based demand response has been implemented whereby the consumers are encouraged to participate in overall power balance. In emission constrained system, the profit maximization problem is solved by means of power trading between the grid and the microgrid. Dynamic economic dispatch of the microgrid has been obtained under intermittent nature of the wind and solar units through coordination of conventional sources and renewable energy sources. The grid connected microgrid system is operating in pool and bilateral market mechanism under different level of bilateral contracts between generating units and the consumers. It has been observed that the incentive based demand response is an effective solution to manage the load through participation of the consumers. It not only achieves optimal utilization of the renewable energy sources under different contract arrangements but also benefits the utilities and the participating consumers while improving overall system performance by reducing the net operational cost.