Mitigasi Permukiman Tepi Sungai di Kelurahan Mlatiharjo

Semarang City is passed by Sungai Banjir Kanal Barat dan Sungai Banjir Kanal Timur which is the purpose of development of these two canals as a form of flood prevention in Semarang city because Semarang city is prone to flood disaster. Floods that occur in Semarang city can be divided into three sources, namely flood shipment generally comes from the upper regions such as Semarang regency, especially Ungaran District, local floods that are the result of river water flows and times, and rob floods coming from tidal water area Coastal Semarang. Although the construction of artificial river has been done by the government of Semarang City, until now the flood is still one of the main problems that hinder the growth and development of Semarang City. The government has made efforts to normalize the Sungai Banjir Kanal Barat, but until now has not been able to do the normalize Sungai Banjir Kanal Timur. The method used in this research is quantitative method that uses secondary data to be processed and qualitative method in the form of gathering perspective of people living on the banks of BKT River, precisely in Mlatiharjo RW IV and RW V Village by way of interview and direct observation. The final result of this research is siteplan design area, the result of design analysis, management and financing management, and recommendation. The concept offered is Mlatiharjo Eco Riverfront Settlement Mitigation, a design concept that focuses on reducing flooding with disaster mitigation efforts

islam untuk disiplin ilmu ekonomi

viii+240hlm.;23c

Atlas helmintologi kedokteran

ix+134hlm.;21c

Variant discovery in the sheepmeat odour and flavour in Javanese fat tailed sheep using RNA sequencing

High-throughput RNA sequencing (RNA-Seq) reveals new challenges for the detection of transcriptome variants (SNPs) in different tissues and species. The aims of this study was to characterize a SNP discovery analysis in the sheep meat odour and flavour transcriptome using RNA-Seq. Six liver samples from divergent sheep meat odour and flavour were analyzed using the Illumina Genome Hiseq 2500 Analyzer. The SNP detection analysis revealed 142 SNPs in sheep meat samples, and a large number of those corresponded to differences between high and low sheep meat odour and flavour ovis genome assembly OAR v4.0. Among them, about 90.4% of genes had multiple polymorphisms within 12 genes (JAML, ANGPTL8, LOC101103463, SEPW1, SCN5A, LOC101113036, DOCK6, GTSE1, KIF12, KCTD17, KANK2, CYP2A6). Several of the SNPs (JAML, CYP2A6, SEPW1, and KIF12) found in this study could be included as suitable markers in genotyping platforms to perform association analyses in commercial populations and apply genomic selection protocols in the sheep meat production

Automated abstraction methodology for genetic regulatory networks

Abstract. In order to efficiently analyze the complicated regulatory systems often encountered in biological settings, abstraction is essential. This paper presents an automated abstraction methodology that systematically reduces the small-scale complexity found in genetic regulatory network models, while broadly preserving the large-scale system behavior. Our method first reduces the number of reactions by using rapid equilibrium and quasi-steady-state approximations as well as a number of other stoichiometry-simplifying techniques, which together result in substantially shortened simulation time. To further reduce analysis time, our method can represent the molecular state of the system by a set of scaled Boolean (or n-ary) discrete levels. This results in a chemical master equation that is approximated by a Markov chain with a much smaller state space providing significant analysis time acceleration and computability gains.