Preparation and characterisation of irradiated waste eggshells as oil adsorbent

Adsorption method had been developed by using natural organic adsorbent for the removal of oil because of its ability to bind the oil molecules into the surface of adsorbent. In this study, chicken eggshells waste was used and it undergoes irradiation process with four different amount of dose which was 0.5 kGy, 1.0 kGy, 1.5 kGy, and 2.0 kGy by using Gamma Cell Irradiator. Three equipment had been used for the characterization process which were the Scanning Electron Microscope (SEM), Energy Dispersive X-ray spectroscopy (EDX), and Fourier-Transform Infrared Spectroscopy (FTIR). The adsorption experiment was conducted to calculate the sorption efficiency by using different mass of samples. The result showed that irradiated chicken eggshells powder with 2.0 kGy amount of radiation dose has a best performance as oil adsorbent

Potential dopant in photocatalysis process for wastewater treatment-a review

Nowadays, too much pollution has happened around us, and one of them is water pollution, which each day has become more severe and worse. One of the sources of water pollution comes from the industry that has used dyes either excessively or not. In case of that, the wastewater needs to be treated before released to the river or environment. In this paper, a review of the wastewater treatment using dopants such as nitrogen and magnesium, will be discussed

Determinación por espectrofotometría de la niclosamida a través de formulaciones base de Schiff en preparaciones farmacéuticas y veterinarias

Introduction: Niclosamide(NICS) its chemical name 5-chloro-N-(2- chloro-4-nitrophenyl)-2-hydroxybenz-amide]is the only commercially existing molluscicide optional by the WHO for large extent use in schistosomiasis be in charge of programs . NICS and its two new synthesized derivatives constructed to float on the water surface were able to kill cercariae, also obsessed promising activity in vitro nearby to an apicomplexan parasite Toxoplasma (4). Few spectrophotometric methods have been reported for the estimation of NICS as pure and in formulations, approximately these methods depend on reduction of nitro group (almost with zinc powder in acidic medium) followed by reaction with different reagents. The method based on reduction of nitro group of NICS then  reaction of reduced-NICS with para- N,N dimethylaminobenzaldehyde in non-aqueous medium (methanol) to form a colored product that has been proved successfully for the estimation of NICS in pharmaceutical and veterinary formulations Material and method :All reagents used are of analytical grade and are obtained from Fluka or Aldrich , NICS wassupplied from SIGMA companies. Methanolic solution of para- N,N- dimethylanimobenzaldehyde (Fluka)3%, weighing 3 g and dissolved in 100 ml methanol in a volumetric flask. All other reagents were prepared bydissolving the propriety weight in perfect solvent. A volume in the range of 0.1 to 1.7 ml of 100 µg.ml-1RNICS solution was transferred to 10 ml calibrated flasks.2ml of PNNDMABA (3.0 %) was added, and the volume was made up to 10 ml by adding methanol. The yellow Schiff ’s base was measured at 454 nm versus a blank solution. Results and Discussion:The optimum pH for reaction of NICS with para-N, N-dimethylanimobenzaldehyde equal to 3 which resulted by mixing the components of the reaction. The absorbance increase with increasing reagent concentration (para-N,N- dimethylanimobenzaldehyde) and reached maximum on adding volume of 2.0 ml of (3%), which also gives the highest value of determination coefficient (R2).The experimental data indicated that methanol was the optimum solvent used in dilution according to high intensity of Schiff ’s base and the good stability. The formation of the yellow Schiff ’s base being complete after mixing the components of reaction and the absorbance remained constant for at least 2 hours. Conclusion: Accurate and sensitive spectrophotometric method was described for the estimation of NICS. The present method has been successfully applied for the estimation of NICS in pharmaceutical and veterinary preparations

Effectiveness of Ipomoea aquatica and Pelthoporum pterocarpum for controlling the golden apple snail, Pomacea canaliculata

Pomacea canaliculata Lamark (golden apple snail, GAS) which known as siput gondang emas among Malay farmers is dangerous pest to the paddy field feeds on stem and young leaves of paddy plant. Frequently, usage of synthetic pesticides may cause pollution to the environment which became harmful to human and other living things. Hence, to control GAS, the usage of biopesticides is become the most popular control method. Biopesticides formed from animals, plants, bacteria and minerals. About 247 families from 2500 plants have the role of secondary metabolites to protect themselves from the pests. Some of the plants have their own mechanism to protect themselves from enemies like pests, diseases due to its chemical compound, which acts as toxicity to the pest, repellency, antifeedant and insect growth regulatory activities. The aim of this study is to evaluate the effectiveness of Ipomoea aquatica and Pelthoporum pterocarpum extracts for controlling GAS by using different solvents. From the study, methanol extraction showed the highest mortality rather than using ethanol for both plants. It showed that methanol is the most effective solvent due to mortality of the GAS by 50% concentration (24 hours) and 100% concentration (48 hours) is 53.33%. Based on probit analysis, Pelthoporum pterocarpum extracts by using methanol as solvent showed the strongest toxicity test result (LC50 = 4.683%). In the future, Pelthoporum pterocarpum extracts using methanol can be used to replace the usage of synthetic pesticides for controlling GAS

Neuro-fuzzy systems approach to infill missing rainfall data for Klang River Catchment, Malaysia

Rainfall data can be regarded as the most essential input for various applications in hydrological sciences. Continuous rainfall data with adequate length is the main requirement to solve complex hydrological problems. Mostly in developing countries hydrologists are still facing problems of missing rainfall data with inadequate length. Researchers have been applying a number of statistical and data driven approaches to overcome this insufficiency. This study is an application of neuro-fuzzy system to infill the missing rainfall data for Klang River catchment. Pettitt test, standard normal homogeneity test (SNHT) and Von Neumann Ratio (VNR) tests were performed to check the homogeneity of rainfall data. The neuro-fuzzy model performances were assessed both in calibration and validation stages based on statistical measures such as coefficient of determination (R2), Root Mean Square Error (RMSE) and Mean Absolute Error (MAE). To evaluate the performance of the neuro-fuzzy system model, it was compared with a traditional modeling technique known as autoregressive model with exogenous inputs (ARX). The neuro-fuzzy system model gave better performances in both stages for the best input combinations. The missing rainfall data was predicted using the input combination with best performances. The results of this study showed the effectiveness of the neuro-fuzzy systems and it is recommended as a prominent tool for filling the missing data

The effect of talent management factors on teacher's leadership at the secondary school

Talent management is one of the roles in human resources management and there has been a long debate about talent management for years. This study aims to identify the relationship between talent management and teacher leadership development. In addition, the study also analyzes the talent management and teacher leadership levels. The data are analyzed using descriptive and inferential statistics. Statistical Package for the Social Sciences Software (SPSS) version 23 and Partial Least Squares Structural (Smart PLS) version 3 are also applied to analyze the data. The survey study involves 473 teachers in Malaysia residential school. The findings reveal that talent management and teacher leadership practices were at high levels. There is a significant positive relationship between talent management and teacher leadership development. The results of the study promote the role of talent management that can lead to positive changes in teacher leadership at schools. It is hoped that through this study various stakeholders such as schools, district education offices and the ministry of education of Malaysia will be able to assist in planning and organizing efforts in order to produce good leaders in future. It is hoped that through this study, various stakeholders such as school, district education offices as well as the Ministry of Education will be able to assist in planning and organizing efforts to address the role of teacher leadership to produce highly talented future leaders at schools

Black hole algorithm along edge detector and circular hough transform based iris projection with biometric identification systems

The circular parameters between the pupil and the iris are found using current iris identification techniques but the accuracy creates an issue for the detection process during image processing. The procedure of extracting the iris region from an eye image using circular parameters can be improved via approximately too many approaches in literature but remain some portions under slightly unconstrained circumstances. In this study, we presented a Black Hole Algorithm (BHA) along the Canny edge detector and circular Hough transform-based optimization technique for circular parameter identification of iris segmentation. The iris boundary is discovered using the suggested segmentation approach and a computational model of the pixel value. The BHA looks for the central radius of the iris and pupil. The system uses MATLAB to test the CASIA-V3 database. The segmented images exhibit 98.71% accuracy. For all future access control applications, the segmentation-based BHA is effective at identifying the iris. The integration of the BHA with the Hough transforms and Canny edge detector is the main method by which the iris segmentation is accomplished. This novel technique improves the accuracy and effectiveness of iris segmentation, with potential uses in image analysis and biometric identification

Exploring the use of social media tools among students for teaching and learning purpose

Social media network is a fairly recent word used to define a form of learning that can be performed via websites online learning. The exploring of the potential use of social media tools and impact of contingent factors on the relationship between three predictors was investigated. A total of 235 valid responses were received from undergraduate students Faculty of Computing, Universiti Teknologi Malaysia (UTM) in the study. Several factors have been found to correlate with social media use, active learning both to affect teaching and learning. The researchers made use of the structural equation modelling (SEM) method with the SmartPLS program to shed a light on the adoption process. The results show that the use of social media positively and significantly relates to active learning, which in turn affect teaching and learning