Pengaruh Pengaturan terhadap Pembinaan Pedagang Kaki Lima di Kota Malang

: Decentralization as devolution of authority and responsibility or authority to conduct some or all of the functions and administration of the central government to the institutions. Implementation of decentralization is the issuance of local regulations (regulations ) on setting and coaching hawkers in the city of Malang in 2000. However , the implementation of the local regulations (regulations ) have not been completely worked well. Methods of research conducted by quantitative descriptive type of research , the primary data source is amplified by means of secondary data pengmbilan questionnaire data , documents and observation , sampling techniques using purposive sampling , data analysis conducted with the data reduction , data presentation , and conclusion/verification and Likert scale. The results of the research setting Street Vendors in Malang runs fine 35% , and fostering runs fine 35% . That setting a good street vendor carries on building a good street vendors. Keywords: Settings , Development, Vendors Coachin

Dual-functional Cellular and Radar Transmission: Beyond Coexistence

We propose waveform design for a dual-functional multi-input-multi-output (MIMO) system, which carries out both radar target detection and multi-user communications using a single hardware platform. By enforcing both a constant modulus (CM) constraint and a similarity constraint with respect to referenced radar signals, we aim to minimize the downlink multiuser interference. Unlike conventional approaches which obtain suboptimal solutions to the generally NP-hard CM optimization problems involved, we propose a branch-and-bound method to efficiently find the global minimizer of the problem. Simulations show that the proposed algorithm significantly outperforms the state-of-art by achieving a favorable trade-off between radar and communication performance

Comparison of Material Consumption, Experimental Protocols and Computation Time in DNA Computing

One of the major constraints in DNA computation is the exponential increase in material consumption and computation time for larger computation size in DNA computing particularly in critical stages such as initial pool generation and extraction during gel electrophoresis. In DNA computation, both the hybridization-ligation method and parallel overlap assembly method can be utilized to generate the initial pool of all possible solutions. In this paper, we discuss and compare the implementation of N × N Boolean matrix multiplication via in vitro implementation between Hybridization-Ligation Method and Parallel Overlap Assembly Method to show that selection of tools and protocols affect the cost effectiveness of a computation in terms of the material consumption, protocol steps and execution time to compute. In general, the the parallel overlap assembly method performs better than hybridization-ligation method in terms of the three parameters mentioned. The calculations are based on approximation of unique sequence strands required for the computation and not actual calculations on the nmol concentration

Handler beliefs affect scent detection dog outcomes

Our aim was to evaluate how human beliefs affect working dog outcomes in an applied environment. We asked whether beliefs of scent detection dog handlers affect team performance and evaluated relative importance of human versus dog influences on handlers’ beliefs. Eighteen drug and/or explosive detection dog/handler teams each completed two sets of four brief search scenarios (conditions). Handlers were falsely told that two conditions contained a paper marking scent location (human influence). Two conditions contained decoy scents (food/toy) to encourage dog interest in a false location (dog influence). Conditions were (1) control; (2) paper marker; (3) decoy scent; and (4) paper marker at decoy scent. No conditions contained drug or explosive scent; any alerting response was incorrect. A repeated measures analysis of variance was used with search condition as the independent variable and number of alerts as the dependent variable. Additional nonparametric tests compared human and dog influence. There were 225 incorrect responses, with no differences in mean responses across conditions. Response patterns differed by condition. There were more correct (no alert responses) searches in conditions without markers. Within marked conditions, handlers reported that dogs alerted more at marked locations than other locations. Handlers’ beliefs that scent was present potentiated handler identification of detection dog alerts. Human more than dog influences affected alert locations. This confirms that handler beliefs affect outcomes of scent detection dog deployments

Performance Analysis in Mesh Network-on-Chip Topology by using Multilevel Network Partitioning

The increasing complexity of System-on-Chips (SoCs) has resulted in the bottlenecking of the system due to scalability problems in the bus system. This leads to the decrement of the performance of future SoCs with more complex circuitries inside them. Network-on-Chips (NoCs) was proposed as one of the solutions to overcome these issues especially regarding the communication between Intellectual Properties (IP) in a chip. The fundamentals in designing NoC include the selection of network topologies, and hence performance optimization is needed to ensure the full advantage of networking is taken. Therefore, multi-level Network Partitioning techniques are proposed to obtain the optimal design of networks based on its performance. The performance of a network is measured by its throughput, average queue size, waiting time and data loss. This technique is applied in a case study using MPEG-4 video application with four famous partitioning algorithms (Linear, Spectral, Tailor-Made and Kerninghan-Lin). Experimental results show that second level of spectral partitioning gives the best performance compared to another network partitioning

SILAC-based phosphoproteomics reveals an inhibitory role of KSR1 in p53 transcriptional activity via modulation of DBC1

BACKGROUND We have previously identified kinase suppressor of ras-1 (KSR1) as a potential regulatory gene in breast cancer. KSR1, originally described as a novel protein kinase, has a role in activation of mitogen-activated protein kinases. Emerging evidence has shown that KSR1 may have dual functions as an active kinase as well as a scaffold facilitating multiprotein complex assembly. Although efforts have been made to study the role of KSR1 in certain tumour types, its involvement in breast cancer remains unknown. METHODS A quantitative mass spectrometry analysis using stable isotope labelling of amino acids in cell culture (SILAC) was implemented to identify KSR1-regulated phosphoproteins in breast cancer. In vitro luciferase assays, co-immunoprecipitation as well as western blotting experiments were performed to further study the function of KSR1 in breast cancer. RESULTS Of significance, proteomic analysis reveals that KSR1 overexpression decreases deleted in breast cancer-1 (DBC1) phosphorylation. Furthermore, we show that KSR1 decreases the transcriptional activity of p53 by reducing the phosphorylation of DBC1, which leads to a reduced interaction of DBC1 with sirtuin-1 (SIRT1); this in turn enables SIRT1 to deacetylate p53. CONCLUSION Our findings integrate KSR1 into a network involving DBC1 and SIRT1, which results in the regulation of p53 acetylation and its transcriptional activity

Identification and validation of suitable endogenous reference genes for gene expression studies in human peripheral blood

Background Gene expression studies require appropriate normalization methods. One such method uses stably expressed reference genes. Since suitable reference genes appear to be unique for each tissue, we have identified an optimal set of the most stably expressed genes in human blood that can be used for normalization. Methods Whole-genome Affymetrix Human 2.0 Plus arrays were examined from 526 samples of males and females ages 2 to 78, including control subjects and patients with Tourette syndrome, stroke, migraine, muscular dystrophy, and autism. The top 100 most stably expressed genes with a broad range of expression levels were identified. To validate the best candidate genes, we performed quantitative RT-PCR on a subset of 10 genes (TRAP1, DECR1, FPGS, FARP1, MAPRE2, PEX16, GINS2, CRY2, CSNK1G2 and A4GALT), 4 commonly employed reference genes (GAPDH, ACTB, B2M and HMBS) and PPIB, previously reported to be stably expressed in blood. Expression stability and ranking analysis were performed using GeNorm and NormFinder algorithms. Results Reference genes were ranked based on their expression stability and the minimum number of genes needed for nomalization as calculated using GeNorm showed that the fewest, most stably expressed genes needed for acurate normalization in RNA expression studies of human whole blood is a combination of TRAP1, FPGS, DECR1 and PPIB. We confirmed the ranking of the best candidate control genes by using an alternative algorithm (NormFinder). Conclusion The reference genes identified in this study are stably expressed in whole blood of humans of both genders with multiple disease conditions and ages 2 to 78. Importantly, they also have different functions within cells and thus should be expressed independently of each other. These genes should be useful as normalization genes for microarray and RT-PCR whole blood studies of human physiology, metabolism and disease.Boryana S Stamova, Michelle Apperson, Wynn L Walker, Yingfang Tian, Huichun Xu, Peter Adamczy, Xinhua Zhan, Da-Zhi Liu, Bradley P Ander, Isaac H Liao, Jeffrey P Gregg, Renee J Turner, Glen Jickling, Lisa Lit and Frank R Shar

OTUB1 Is a Key Regulator of RIG-I-Dependent Immune Signaling and Is Targeted for Proteasomal Degradation by Influenza A NS1.

Deubiquitylases (DUBs) regulate critical signaling pathways at the intersection of host immunity and viral pathogenesis. Although RIG-I activation is heavily dependent on ubiquitylation, systematic analyses of DUBs that regulate this pathway have not been performed. Using a ubiquitin C-terminal electrophile, we profile DUBs that function during influenza A virus (IAV) infection and isolate OTUB1 as a key regulator of RIG-I-dependent antiviral responses. Upon infection, OTUB1 relocalizes from the nucleus to mitochondrial membranes together with RIG-I, viral PB2, and NS1. Its expression depends on competing effects of interferon stimulation and IAV-triggered degradation. OTUB1 activates RIG-I via a dual mechanism of K48 polyubiquitin hydrolysis and formation of an E2-repressive complex with UBCH5c. We reconstitute this mechanism in a cell-free system comprising [35S]IRF3, purified RIG-I, mitochondrial membranes, and cytosol expressing OTUB1 variants. A range of IAV NS1 proteins trigger proteasomal degradation of OTUB1, antagonizing the RIG-I signaling cascade and antiviral responses

De seditionibus libri sex : rationibus et exemplis ex omni doctrinarum et authorum genere locupletati /

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