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"This work investigates the comparative adsorptive removal of Ni (II) ions from aqueous solution using coconut shell and banana peel. Optimum conditions for adsorption were determined by experimental design, while Analysis of Variance (ANOVA) and BonferroniHolm Posthoc significance statistical tests on operational parameters were also conducted. The parametric effect of adsorbate dose, adsorbent dose, pH, contact time, particle size and temperature were varied individually, and their effect on the percentage of Ni (II) ion removal was estimated. The maximum percentage removal was achieved at a pH of 8.0 by both adsorbents. The optimum conditions obtained for both adsorbents were 4.5 g adsorbent dose, 30 min contact time and 25 oC for coconut shell, and 4.5 g adsorbent dose, 120 mins and 25 oC for banana peel. The Langmuir isotherm best described the adsorption, with correlation coefficient (R2 ) values of 0.9821 and 0.9744 for banana peel and coconut shell respectively. The mean free energy from the Dubinin-Radushkevich isotherm suggested chemisorption, and the adsorption mechanism was found to fit the second order."

"ABSTRAKGenome Sequence Analysis for genetic datasets by using ORF (Open Reading Frames) techniques is an interesting area of research for bioinformatics researchers nowadays. There is a strong research focus on comparative analysis between genetic behaviors and diversity of different species. Contrary to whole genome sequence analysis, scientists are now trying to concentrate specifically on layered analysis to get a better insight of relevancy among genetic datasets. This phenomenon will help to better understand species. An ORF statistical analysis for genetic data-sets of species Chimera Monstrosa and Poly Odontidae is presented. For completion of this analysis, we use a hybrid approach that combines a generic mechanism for statistical analysis with specific approach designed for out performance. At first instance, genetic datasets are refined for better usage at next level. These sets are then passed through layers of filters that perform DNA to Protein translation. Statistical comparison is performed during this translation. This layered architecture helps in better understanding of the degree of similarity and differences in genomic sequences. "

"This book constitutes the refereed proceedings of the 16th International Conference on Software Process Improvement and Capability Determination, SPICE 2016, held in Dublin, Ireland, in June 2016. The 28 full papers presented together with 5 short papers were carefully reviewed and selected from 52 submissions. The papers are organized in the following topical sections: SPI in regulated and safety critical domains; gamification and education issues in SPI; SPI in agile and small settings; SPI and assessment; SPI and project management concerns; empirical research case studies of SPI; knowledge and human communications issues in SPI."

"ABSTRAK The fractionation of five heavy metals in a washing aggregate sludge, a sewage sludge, a clay-rich sediment, the mixtures of these materials and the lightweight aggregates manufactured with them has been determined by applying the optimezed European Community Bureau of Reference sequential extraction procedure in order to evaluate the effects of the heating process on the extraction of these elements. Additionally, preparation of efaluates by aggregate leaching has been performed in accordance with the UNE-EN-1744-3 standard. The availability of all the studied heavy metals has been reduced by the thermal treatment, since most of the heavy metals have become part of the undigested material in the lightweight aggregates. Nickel has been the heavy metal that has presented the highest concentration in the eluates obtained after completion of the single extraction procedure in the lightweight aggregates. The studied lightweight aggregates may be used in lightweight concerte manufacturing from the standpoint of heavy metal leaching. "

"The nature of biodiesel production itself is complex with multisectors and multi-actors conditions, and with addition of sustainability issues from various stakeholder, created a complex challenges for developing the biodiesel industry. In order to understand of the complexity, this research developed a comperhensive sustainability model to draw the relationship and analyze the effects of government policy for stimulating biodiesel industry using the combination methods of process mapping, financial modeling, life cycle analysis (LCA) and business sustainability strategy. The model combines its output tanslated into a complete sustainability index of financial, social and environment. The model simulation results show that accomplishment of a sustainable biodiesel production within the target and timeframe is impossible without releasing the subsidized price of diesel fuel and further directions from the government. "