Analisis Keterpilihan Achmad Yusuf Roni Sebagai Calon Anggota Dprd Kabupaten Kudus Dari Pdi Perjuangan Dalam Pemilihan Legislatif 2014

Achmad Yusuf Roni was one of the candidates for members of DPRD Kabupaten Kudus legislative elections in 2014 were derived from the PDI Perjuangan . Electoral district (Dapil) for Achmad Yusuf Roni was Dapil IV, which includes Kecamatan Dawe and Kecamatan Jekulo in Kudus. Mannered known figure in the community and who are loyal to a political party which he joined, Achmad Yusuf Roni is pure cadre from the PDI Perjuangan Kabupaten Kudus. Structurally, Achmad Yusuf Roni was the Secretary of the Branch Council (DPC) PDI Perjuangan Kudus for the period 2010 to 2015. With a relatively young age, which is 31 years old in 2014, Yusuf Achmad get ordinal number 1 (one). The ordinal number of 1 that is identical to prospective members DPRD is expected to be won an election. This study has revealed what are the main factors that determine victory Achmad Yusuf Roni. With the vote total of 5,030 votes, the highest compared to other candidates who also came from the PDI Perjuangan and the same electoral district (Dapil). Victory of Achmad Yusuf Roni affected by his popularity in the middle of the voters and the role of Musthofa. Musthofa is the Chairman of PDI Perjuangan Kudus, and Regent of Kudus. With the support of Mustafa, the party's political machine was geared to help Achmad Yusuf Roni in this contestation. In accordance with the purpose of PDI Perjuangan Kudus, Achmad Yusuf Roni managed to get one seat in parliament Kudus. Although the vote gained much from the original target planned. Overall PDI-P was able to obtain 9 seats out of 45 seats in DPRD Kudus

Estimating Effectiveness of Identifying Human Trafficking via Data Envelopment Analysis

Transit monitoring is a preventative approach used to identify possible cases of human trafficking while an individual is in transit or before one crosses a border. Transit monitoring is often conducted by non-governmental organizations (NGOs) who train staff to identify and intercept suspicious activity. Love Justice International (LJI) is one such NGO that has been conducting transit monitoring for 14 years along the Nepal-India border at approximately 25-30 monitoring stations. In partnership with LJI, we developed a system that uses data envelopment analysis (DEA) to help LJI decision-makers evaluate the performance of these stations and make specific operational improvement recommendations. We identified efficient stations, compared rankings of station performance, and recommended strategies to improve efficiency. To the best of our knowledge, this is the first application of DEA in the anti-human trafficking domain

Realization of Extended Ultrabroadband Quantum-Dash Laser Emission using Postgrowth Intermixing

Abstract: We demonstrate a widened ultrabroad-stimulated emission in InAs/InAlGaAs quantum-dash laser using the postgrowth lattice-intermixing technique. The 100nm wavelength blue-shifted device exhibits larger lasing bandwidth (~41nm) than as-grown laser (~25nm) with a spectral ripple of <1dB. Introduction Inhomogeneous broadening gain spectrum due to carriers' localization in noninteracting self-assembled quantum dot (Qdot) or quantum dash (Qdash) has experimentally been proven to show superior performance than its quantum well (QW) counterpart Spatially selective bandgap engineering of QW, wire, dash and dots, has been a subject of intense research since it is a simple and cost-effective technique for the fabrication of advanced photonics devices, especially photonic integrated circuits (PICs) In this paper, we demonstrate wavelength tuning of an inhomogeneous InAs/InAlGaAs QDash laser using the impurity free vacancy disordering (IFVD) technique. With moderate degree of intermixing, whereby the Qdashes with varying size and composition are subjected to different interdiffusion rates, broad lasing linewidth is preserved. Similar to the as-grown (AG) broadband laser, the 100 nm bandgap tuned laser exhibits ultrabroad stimulated emission with larger wavelength coverage of ~ 85 nm at a center wavelength of ~ 1.54 μm. Experiment The Qdash laser structure was grown by molecular beam epitaxy on (100) oriented InP substrate. The active region consists of four sheets of 5 monolayer InAs dashes, each embedded within a 7.6 nm thick compressively strained In 0.64 Ga 0.16 Al 0.2 As quantum well and a 30 nm thick tensile strained In 0.50 Ga 0.32 Al 0.18 As barrier Results and Discussion Carriers localized in different dot/dash, resulting in a system without a global Fermi function and exhibiting an inhomogeneously broadened gain spectrum, have shown interesting phenomena of lasing spectr

Cyber security fear appeals:unexpectedly complicated

Cyber security researchers are starting to experiment with fear appeals, with a wide variety of designs and reported efficaciousness. This makes it hard to derive recommendations for designing and deploying these interventions. We thus reviewed the wider fear appeal literature to arrive at a set of guidelines to assist cyber security researchers. Our review revealed a degree of dissent about whether or not fear appeals are indeed helpful and advisable. Our review also revealed a wide range of fear appeal experimental designs, in both cyber and other domains, which confirms the need for some standardized guidelines to inform practice in this respect. We propose a protocol for carrying out fear appeal experiments, and we review a sample of cyber security fear appeal studies, via this lens, to provide a snapshot of the current state of play. We hope the proposed experimental protocol will prove helpful to those who wish to engage in future cyber security fear appeal research

Group Analysis of Variable Coefficient Diffusion-Convection Equations. I. Enhanced Group Classification

We discuss the classical statement of group classification problem and some its extensions in the general case. After that, we carry out the complete extended group classification for a class of (1+1)-dimensional nonlinear diffusion--convection equations with coefficients depending on the space variable. At first, we construct the usual equivalence group and the extended one including transformations which are nonlocal with respect to arbitrary elements. The extended equivalence group has interesting structure since it contains a non-trivial subgroup of non-local gauge equivalence transformations. The complete group classification of the class under consideration is carried out with respect to the extended equivalence group and with respect to the set of all point transformations. Usage of extended equivalence and correct choice of gauges of arbitrary elements play the major role for simple and clear formulation of the final results. The set of admissible transformations of this class is preliminary investigated.Comment: 25 page

Candidate Causal Regulatory Effects by Integration of Expression QTLs with Complex Trait Genetic Associations

The recent success of genome-wide association studies (GWAS) is now followed by the challenge to determine how the reported susceptibility variants mediate complex traits and diseases. Expression quantitative trait loci (eQTLs) have been implicated in disease associations through overlaps between eQTLs and GWAS signals. However, the abundance of eQTLs and the strong correlation structure (LD) in the genome make it likely that some of these overlaps are coincidental and not driven by the same functional variants. In the present study, we propose an empirical methodology, which we call Regulatory Trait Concordance (RTC) that accounts for local LD structure and integrates eQTLs and GWAS results in order to reveal the subset of association signals that are due to cis eQTLs. We simulate genomic regions of various LD patterns with both a single or two causal variants and show that our score outperforms SNP correlation metrics, be they statistical (r2) or historical (D'). Following the observation of a significant abundance of regulatory signals among currently published GWAS loci, we apply our method with the goal to prioritize relevant genes for each of the respective complex traits. We detect several potential disease-causing regulatory effects, with a strong enrichment for immunity-related conditions, consistent with the nature of the cell line tested (LCLs). Furthermore, we present an extension of the method in trans, where interrogating the whole genome for downstream effects of the disease variant can be informative regarding its unknown primary biological effect. We conclude that integrating cellular phenotype associations with organismal complex traits will facilitate the biological interpretation of the genetic effects on these traits

Detection of regulator genes and eQTLs in gene networks

Genetic differences between individuals associated to quantitative phenotypic traits, including disease states, are usually found in non-coding genomic regions. These genetic variants are often also associated to differences in expression levels of nearby genes (they are "expression quantitative trait loci" or eQTLs for short) and presumably play a gene regulatory role, affecting the status of molecular networks of interacting genes, proteins and metabolites. Computational systems biology approaches to reconstruct causal gene networks from large-scale omics data have therefore become essential to understand the structure of networks controlled by eQTLs together with other regulatory genes, and to generate detailed hypotheses about the molecular mechanisms that lead from genotype to phenotype. Here we review the main analytical methods and softwares to identify eQTLs and their associated genes, to reconstruct co-expression networks and modules, to reconstruct causal Bayesian gene and module networks, and to validate predicted networks in silico.Comment: minor revision with typos corrected; review article; 24 pages, 2 figure

Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility.

To further understanding of the genetic basis of type 2 diabetes (T2D) susceptibility, we aggregated published meta-analyses of genome-wide association studies (GWAS), including 26,488 cases and 83,964 controls of European, east Asian, south Asian and Mexican and Mexican American ancestry. We observed a significant excess in the directional consistency of T2D risk alleles across ancestry groups, even at SNPs demonstrating only weak evidence of association. By following up the strongest signals of association from the trans-ethnic meta-analysis in an additional 21,491 cases and 55,647 controls of European ancestry, we identified seven new T2D susceptibility loci. Furthermore, we observed considerable improvements in the fine-mapping resolution of common variant association signals at several T2D susceptibility loci. These observations highlight the benefits of trans-ethnic GWAS for the discovery and characterization of complex trait loci and emphasize an exciting opportunity to extend insight into the genetic architecture and pathogenesis of human diseases across populations of diverse ancestry

Comparative route of administration studies using therapeutic siRNAs show widespread gene modulation in Dorset sheep

siRNAs comprise a class of drugs that can be programmed to silence any target gene. Chemical engineering efforts resulted in development of divalent siRNAs (di-siRNAs), which support robust and long-term efficacy in rodent and nonhuman primate brains upon direct cerebrospinal fluid (CSF) administration. Oligonucleotide distribution in the CNS is nonuniform, limiting clinical applications. The contribution of CSF infusion placement and dosing regimen on relative accumulation, specifically in the context of large animals, is not well characterized. To our knowledge, we report the first systemic, comparative study investigating the effects of 3 routes of administration - intrastriatal (i.s.), i.c.v., and intrathecal catheter to the cisterna magna (ITC) - and 2 dosing regimens - single and repetitive via an implanted reservoir device - on di-siRNA distribution and accumulation in the CNS of Dorset sheep. CSF injections (i.c.v. and ITC) resulted in similar distribution and accumulation across brain regions. Repeated dosing increased homogeneity, with greater relative deep brain accumulation. Conversely, i.s. administration supported region-specific delivery. These results suggest that dosing regimen, not CSF infusion placement, may equalize siRNA accumulation and efficacy throughout the brain. These findings inform the planning and execution of preclinical and clinical studies using siRNA therapeutics in the CNS