Gadjah Mada University

About: Gadjah Mada University is a education organization based out in Yogyakarta, Indonesia. It is known for research contribution in the topics: Population & Adsorption. The organization has 17307 authors who have published 21389 publications receiving 116561 citations. The organization is also known as: University of Gajah Mada & Universitas Gadjah Mada.

Goal-setting participation and goal commitment: Examining the mediating roles of procedural fairness and interpersonal trust in a UK financial services organisation

Abstract: This study investigates whether participation in goal-setting within performance measurement and evaluation processes affects goal commitment and if so, whether the effect is mediated by procedural fairness and interpersonal trust. Using a sample of 54 managers within a UK financial services organisation, this study finds that participation in goal-setting is positively associated with goal commitment. Further analysis arising from introducing procedural fairness and interpersonal trust as mediating variables reveals that the association is significantly mediated by procedural fairness. Overall, these findings offer empirical evidence on the importance of procedural fairness on the relationship between participation and goal commitment.

Removal of sodium diclofenac from aqueous solution by adsorbents derived from cocoa pod husks

Abstract: The presence of sodium diclofenac (SD) in wastewater effluent, surface water and even in drinking water has prompted worldwide concerns due to the harmful effects of this pollutant to terrestrial and aquatic organisms. This study investigated the potential of activated carbon from cocoa pod husk (CPHAC) as a low-cost adsorbent for the removal of SD from aqueous solution. Characteristics of the unmodified and the CPHAC were evaluated using SEM, EDX, and FTIR analyses. The effects of pH, initial SD concentration, CPHAC dosage, and contact time in removing SD via adsorption were investigated using central composite design (CCD) of the response surface methodology (RSM) from Design Expert 7.0 software. The SD removal efficiency was observed to increase from 76.0% to 93.6% at decreasing pH and CPHAC dosage and increasing initial concentration. The optimum conditions to maximize SD removal were at pH 7, 30 mg L −1 initial SD concentration, 0.25 g CPHAC dosage, and 15 min contact time. From batch experiments, the equilibrium time was achieved at 45 min. Kinetic studies showed that the adsorption followed pseudo-second order reaction (R 2 = 0.99998) and the analysis of the equilibrium data revealed that SD adsorption using CPHAC best fitted the Freundlich isotherm (R 2 = 0.99707, n value of 4.34) compared to the Langmuir and Temkin models. The study demonstrated that activated carbon from CPH efficiently removed the SD in aqueous solution with adsorption capacity of 5.53 mg g −1 at equilibrium.

Mapping and identifying basal stem rot disease in oil palms in North Sumatra with QuickBird imagery

Abstract: The application of remote sensing technology and precision agriculture in the oil palm industry is in development. This study investigated the potential of high resolution QuickBird satellite imagery, which has a synoptic overview, for detecting oil palms infected by basal stem rot disease and for mapping the disease. Basal stem rot disease poses a major threat to the oil palm industry, especially in Indonesia. It is caused by Ganoderma boninense and the symptoms can be seen on the leaf and basal stem. At present there is no effective control for this disease and early detection of the infection is essential. A detailed, accurate and rapid method of monitoring the disease is needed urgently. This study used QuickBird imagery to detect the disease and its spatial pattern. Initially, oil palm and non oil palm object segmentation based on the red band was used to map the spatial pattern of the disease. Secondly, six vegetation indices derived from visible and near infrared bands (NIR) were used for to identify palms infected by the disease. Finally, ground truth from field sampling in four fields with different ages of plant and degrees of infection was used to assess the accuracy of the remote sensing approach. The results show that image segmentation effectively delineated areas infected by the disease with a mapping accuracy of 84%. The resulting maps showed two patterns of the disease; a sporadic pattern in fields with older palms and a dendritic pattern in younger palms with medium to low infection. Ground truth data showed that oil palms infected by basal stem rot had a higher reflectance in the visible bands and a lower reflectance in the near infrared band. Different vegetation indices performed differently in each field. The atmospheric resistant vegetation index and green blue normalized difference vegetation index identified the disease with an accuracy of 67% in a field with 21 year old palms and high infection rates. In the field of 10 year old palms with medium rates of infection, the simple ratio (NIR/red) was effective with an accuracy of 62% for identifying the disease. The green blue normalized difference vegetation index was effective in the field of 10 years old palms with low infection rates with an accuracy of 59%. In the field of 15 and 18 years old palms with low infection rates, all the indices showed low levels of accuracy for identifying the disease. This study suggests that high resolution QuickBird imagery offers a quick, detailed and accurate way of estimating the location and extent of basal stem rot disease infections in oil palm plantations.

Methods for the analysis of cannabinoids in biological materials: a review.

Abstract: Various methods for the analysis of cannabinoids in biological materials, including plant and human body materials, are reviewed. Chromatographic methods, such as TLC, GC and HPLC, and non-chromatographic methods, mainly immunoassays, are discussed and compared. Chromatography is most commonly used in the analysis of plant material, with GC apparently offering the most advantages. Immunoassays, such as radioimmunoassay and fluorescence polarisation immunoassay, and enzyme immunoassay methods, such as enzyme multiplied immunoassay technique and enzyme-linked immunosorbent assay, can be used for human body materials; however, GC-MS is still necessary for confirmation and accurate quantification. Preferred methods are suggested for various specific purposes.