Analisis Portofolio Optimal Dengan Single Index Model Untuk Meminimumkan Risiko Bagi Investor Di Bursa Efek Indonesia (Studi Pada Saham Indeks Kompas 100 Periode Februari 2010-juli 2014)

Investments can be made in the capital market, capital market instruments which are mostly attractive for investors is stock. Stock provides a return in the form of capital gains and dividends yield, not only noticing the return, investors need to pay attention to the investments risk. Unsystematis risk can be minimized by forming the optimal portfolio using one of the methods that is single index model. Study purpose is to knowing the stocks forming the optimal portfolio, the proportion of funds allocated to each stocks, the level of expectation return and risk.The method used in this research is descriptive research method with a quantitative approach. The samples used were 46 stocks in Kompas 100 Index, which meets the criteria for sampling. The results showed that 12 stocks of forming optimal portfolio, the stocks of which are UNVR, TRAM, MNCN, BHIT, JSMR, BMTR, GJTL, KLBF, AALI, CPIN, AKRA, and ASRI. Stock with highest proportion of funds is TRAM (23,52%), stock with lowest proportion of funds is AALI (0,62%). Portfolio which are formed will give return expectations by 3,05477% and carry the risk for about 0,1228%

A Dual Workflow to Improve the Proteomic Coverage in Plasma Using Data-Independent Acquisition-MS

Plasma is one of the most important and common matrices for clinical chemistry and proteomic analyses. Data-independent acquisition (DIA) mass spectrometry has enabled the simultaneous quantitative analysis of hundreds of proteins in plasma samples in support population and disease studies. Depletion of the highest abundant proteins is a common tool to increase plasma proteome coverage, but this strategy can result in the nonspecific depletion of protein subsets with which proteins targeted for depletion interact, adversely affecting their analysis. Our work using an antibody-based depletion column revealed significant complementarity not only in the identification of the proteins derived from depleted and undepleted plasma, but importantly also in the extent to which different proteins can be reproducibly quantified in each fraction. We systematically defined four major quantitative parameters of increasing stringency in both the depleted plasma fraction and in undepleted plasma for 757 observed plasma proteins: Linearity cutoff r2 > 0.8; lower limit of quantification (LLOQ); measurement range; limit of detection (LOD). We applied the results of our study to build a web-based tool, PlasmaPilot, that can serve as a protocol decision tree to determine whether the analysis of a specific protein warrants IgY14 mediated depletion

Design and Synthesis of 4‑Fluorophenyl-5-methylene-2(5<i>H</i>)‑furanone Derivatives as Potent Quorum Sensing Inhibitors

Quorum sensing inhibitors (QSIs) are a class of compounds that can reduce the pathogenicity of bacteria without affecting bacterial growth. In this study, we designed and synthesized four series of 4-fluorophenyl-5-methylene-2(5H)-furanone derivatives and evaluated their QSI activities. Among them, compound 23e not only showed excellent inhibitory activity against various virulence factors but also significantly enhanced the inhibitory activity of antibiotics ciprofloxacin and clarithromycin against two strains of Pseudomonas aeruginosa in vitro. What is even more exciting is that it remarkably increased the antibacterial effect in vivo in combination with ciprofloxacin in the bacteremia model infected with P. aeruginosa PAO1. Moreover, 23e had little hemolytic activity to mouse erythrocytes. Further, the results of GFP reporter fluorescence strain inhibition and β-galactosidase activity inhibition experiments demonstrated that 23e simultaneously targeted the three quorum sensing systems in P. aeruginosa. As a result, compound 23e could be used as an effective QSI for further development against bacterial infections

Design and Synthesis of 4‑Fluorophenyl-5-methylene-2(5<i>H</i>)‑furanone Derivatives as Potent Quorum Sensing Inhibitors

Quorum sensing inhibitors (QSIs) are a class of compounds that can reduce the pathogenicity of bacteria without affecting bacterial growth. In this study, we designed and synthesized four series of 4-fluorophenyl-5-methylene-2(5H)-furanone derivatives and evaluated their QSI activities. Among them, compound 23e not only showed excellent inhibitory activity against various virulence factors but also significantly enhanced the inhibitory activity of antibiotics ciprofloxacin and clarithromycin against two strains of Pseudomonas aeruginosa in vitro. What is even more exciting is that it remarkably increased the antibacterial effect in vivo in combination with ciprofloxacin in the bacteremia model infected with P. aeruginosa PAO1. Moreover, 23e had little hemolytic activity to mouse erythrocytes. Further, the results of GFP reporter fluorescence strain inhibition and β-galactosidase activity inhibition experiments demonstrated that 23e simultaneously targeted the three quorum sensing systems in P. aeruginosa. As a result, compound 23e could be used as an effective QSI for further development against bacterial infections

Relative abundance of ROS-related proteins during embryogenesis.

<p>(A) Peroxidases. (B) Peroxiredoxins. (C) Doxins. The error bars indicate the standard derivation. 1 indicates the protein with Locus ID LOC_Os04g56180.1; 2, LOC_Os04g59260.1; 3, LOC_Os04g59150.1; 4, LOC_Os06g35520.1; 5, LOC_Os12g07820.1; 6, LOC_Os08g43560.1; 7, LOC_Os03g17690.1; 8, LOC_Os02g44500.1; 9, LOC_Os04g46960.2; 10, LOC_Os05g25850.1; 11, LOC_Os07g44430.1; 12, LOC_Os01g16152.1; 13, LOC_Os06g42000.1; 14, LOC_Os02g09940.1; 15, LOC_Os07g08840.1; 16, LOC_Os03g58130.1; 17, LOC_Os06g21550.1; 18, LOC_Os10g35720.1; 19, LOC_Os04g42930.1.</p

Relative abundance of heat shock proteins during embryogenesis.

<p>(A) HSP 20. (B) Higher molecular HSPs. (C) DnaK family HSPs. The error bars indicate the standard derivation. 1 indicates the HSP with Locus ID LOC_Os032870.1; 2, LOC_Os06g14240.1; 3, LOC_Os03g15960.1; 4, LOC_Os03g14180.1; 5, LOC_Os01g04370.1; 6, LOC_Os09g30412.1; 7, LOC_Os04g01740.1; 8, LOC_Os12g32986.1; 9, LOC_Os08g39140.1; 10, LOC_Os08g38086.3; 11, LOC_Os06g50300.1; 12, LOC_Os09g30418.1; 13, LOC_Os02g43020.1; 14, LOC_Os05g44340.1; 15, LOC_Os02g52150.2; 16, LOC_Os03g11910.1; 17, LOC_Os01g62290.1; 18, LOC_Os05g38530.1; 19, LOC_Os03g16920.1; 20, LOC_Os09g31486.1; 21, LOC_Os02g48110.1; 22, LOC_Os05g23740.1; 23, LOC_Os02g53420.1; 24, LOC_Os03g16860.1; 25, LOC_Os05g08840.1; 26, LOC_Os12g14070.1; 27, LOC_Os01g08560.1; 28, LOC_Os11g47760.1; 29, LOC_Os02g02410.1; 30, LOC_Os03g44620.2; 31, LOC_Os03g57340.1; 32, LOC_Os01g32870.1.</p

Stress Responsive Proteins Are Actively Regulated during Rice (<i>Oryza sativa</i>) Embryogenesis as Indicated by Quantitative Proteomics Analysis

<div><p>Embryogenesis is the initial step in a plant’s life, and the molecular changes that occur during embryonic development are largely unknown. To explore the relevant molecular events, we used the isobaric tags for relative and absolute quantification (iTRAQ) coupled with the shotgun proteomics technique (iTRAQ/Shotgun) to study the proteomic changes of rice embryos during embryogenesis. For the first time, a total of 2 165 unique proteins were identified in rice embryos, and the abundances of 867 proteins were actively changed based on the statistical evaluation of the quantitative MS/MS signals. The quantitative data were then confirmed using multiple reactions monitoring (MRM) and were also supported by our previous study based on two-dimensional gel electrophoresis (2 DE). Using the proteome at 6 days after pollination (DAP) as a reference, cluster analysis of these differential proteins throughout rice embryogenesis revealed that 25% were up-regulated and 75% were down-regulated. Gene Ontology (GO) analysis implicated that most of the up-regulated proteins were functionally categorized as stress responsive, mainly including heat shock-, lipid transfer-, and reactive oxygen species-related proteins. The stress-responsive proteins were thus postulated to play an important role during seed maturation.</p></div

Scatter plot of iTRAQ quantified log2 (protein ratio) and MRM quantified log2 (protein ratio).

<p>(A) iTRAQ versus MRM log2(12 DAP/6 DAP). (B) iTRAQ versus MRM log2(18 DAP/6 DAP). (C) iTRAQ versus MRM log2(24 DAP/6 DAP). (D) iTRAQ versus MRM log2(30 DAP/6 DAP).</p

Cluster result of the significantly regulated proteins.

<p>(A) Cluster heatmap of significantly regulated proteins using the protein abundance information. The five columns from left to right are labeled 6, 12, 18, 24 and 30 DAP at the top of the heatmap. The left braces indicate the two groups classified by cluster analysis. (B) Color diagram of the heatmap.</p