243 research outputs found

    Pengaruh Corporate Governance dan Karakteristik Perusahaan terhadap Praktik Pengungkapan Laporan Tahunan Perusahaan Manufaktur yang Terdaftar di Bursa Efek Indonesia

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    This study aims to obtain empirical evidence about the influence of corporate governance and company characteristics on the disclosure practices of firms. Elements of corporate governance that are used to test the disclosure practices of firms consist of the proportion of independent commissioners, audit committee independence, audit committee competence and ownership structure. The firm characteristics factors that used in this study such as firm size, and leverage. Retrieval of data in this study using purposive sampling method in manufacturing companies listed on the Indonesia Stock Exchange (BEI) in the year 2011-2013. The samples of this study as many as 91 companies, and for the items disclosure take from research of Francis Aboagye-Otchere, et al (2012). The data of this study were tested using multiple regression analysis. The empirical result of this study show that the proportion of independent commissioners, firm size, and leverage are significant and positive effect to the disclosure practices of firms in Indonesia. While, audit committee independence, audit committee competence and ownership structure has no significant impact on disclosure practices of firms

    Low-dimensional perovskite nanoplatelet synthesis using in situ photophysical monitoring to establish controlled growth.

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    Perovskite nanoparticles have attracted the attention of research groups around the world for their impressive photophysical properties, facile synthesis and versatile surface chemistry. Here, we report a synthetic route that takes advantage of a suite of soluble precursors to generate CsPbBr3 perovskite nanoplatelets with fine control over size, thickness and optical properties. We demonstrate near unit cell precision, creating well characterized materials with sharp, narrow emission lines at 430, 460 and 490 nm corresponding to nanoplatelets that are 2, 4, and 6 unit cells thick, respectively. Nanoplatelets were characterized with optical spectroscopy, atomic force microscopy, scanning electron microscopy and transmission electron microscopy to explicitly correlate growth conditions, thickness and resulting photophysical properties. Detailed in situ photoluminescence spectroscopic studies were carried out to understand and optimize particle growth by correlating light emission with nanoplatelet growth across a range of synthetic conditions. It was found that nanoplatelet thickness and emission wavelength increase as the ratio of oleic acid to oleyl amine or the reaction temperature is increased. Using this information, we control the lateral size, width and corresponding emission wavelength of the desired nanoplatelets by modulating the temperature and ratios of the ligand

    Mass production of event simulations for the BaBar experiment using the Grid

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    The BaBar experiment has been taking data since 1999, investigating the violation of charge and parity (CP) symmetry in the field of High Energy Physics. Event simulation is an intensive computing task, due to the complexity of the algorithm based on the Monte Carlo method implemented using the GEANT engine. The simulation input data are stored in ROOT format, they are classified into two categories: conditions data for describing the detector status when data are recorded, and background triggers data for including the noise signal necessary to obtain a realistic simulation. In order to satisfy these requirements, in the traditional BaBar computing model events are distributed over several sites involved in the collaboration where each site manager centrally manages a private farm dedicated to simulation production. The new grid approach applied to the BaBar production framework is discussed along with the schema adopted for data deployment via Xrootd/Scalla servers, including data management using grid middleware on distributed storage facilities spread over the INFN-GRID network. A comparison between the two models is provided, describing also the custom applications developed for performing the whole production task on the grid and showing the results achieved

    Permeation Fill-Tube Design for Inertial Confinement Fusion Target Capsules

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    A unique approach for permeation filling of nonpermeable inertial confinement fusion target capsules with deuterium— tritium (DT) is presented. This process uses a permeable capsule coupled into the final target capsule with a 0.03-mm-diameter fill tube. Leak free permeation filling of glow-discharge polymerization (GDP) targets using this method have been successfully demonstrated, as well as ice layering of the target, yielding an inner ice surface roughness of 1-µm rms (root mean square). Finally, the measured DT ice-thickness profile for this experiment was used to validate a thermal model’s prediction of the same thickness profile

    Fiscal Stimulus with Learning-By-Doing

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    Using a Bayesian SVAR analysis, we document that an increase in government purchases raises private consumption, the real wage and total factor productivity (TFP) while reducing inflation. Each of these facts is hard to reconcile with both neoclassical and New-Keynesian models. We extend a standard New-Keynesian model to allow for skill accumulation through past work experience, following Chang, Gomes and Schorfheide (2002). An increase in government spending increases hours and induces skill accumulation and higher measured TFP and real wages in subsequent periods. Future marginal costs fall lowering future expected inflation and, through the monetary policy rule, the real interest rate. Consumption increases as a result

    The Physics of the B Factories

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    This work is on the Physics of the B Factories. Part A of this book contains a brief description of the SLAC and KEK B Factories as well as their detectors, BaBar and Belle, and data taking related issues. Part B discusses tools and methods used by the experiments in order to obtain results. The results themselves can be found in Part C

    Removal of lead by exopolysaccharides from Paenibacillus peoriae strainTS7 isolated from rhizosphere of durum wheat

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    This work aimed to study the removal of heavy metal ions in aqueous solution by extracellular polysaccharides (EPS) extracted from bacterial strain coded TS7. The 16S ribosomal RNA gene sequencing allowed us to identify this strain as Paenibacillus peoriae. The EPS were defined by GLC-MS and 1H NMR as a homopolysaccharides of fructose. The effect of contact time, initial metal ions concentration, mass of the polysaccharide and pH on the metal uptake were investigated by employing batch adsorption technique. The results showed that the maximum removal percentage was achieved at 180 min with an initial lead concentration of 100 ppm and the mass of 0.5 g L−1 EPS at pH 6.8. The maximal metal uptake (qmax) value in Dubinin–Radushkevich (D–R) adsorption isotherm of EPS was found 277.54 mg g−1. The adsorption surface of the metal at surface of TS7 EPS was confirmed through scanning electron microscopy. Besides, FT-IR analysis indicated that some functional groups of TS7 EPS may play an important role in lead biosorption

    Earliest Olduvai hominins exploited unstable environments ~ 2 million years ago

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    Rapid environmental change is a catalyst for human evolution, driving dietary innovations, habitat diversification, and dispersal. However, there is a dearth of information to assess hominin adaptions to changing physiography during key evolutionary stages such as the early Pleistocene. Here we report a multiproxy dataset from Ewass Oldupa, in the Western Plio-Pleistocene rift basin of Olduvai Gorge (now Oldupai), Tanzania, to address this lacuna and offer an ecological perspective on human adaptability two million years ago. Oldupai’s earliest hominins sequentially inhabited the floodplains of sinuous channels, then river-influenced contexts, which now comprises the oldest palaeolake setting documented regionally. Early Oldowan tools reveal a homogenous technology to utilise diverse, rapidly changing environments that ranged from fern meadows to woodland mosaics, naturally burned landscapes, to lakeside woodland/palm groves as well as hyper-xeric steppes. Hominins periodically used emerging landscapes and disturbance biomes multiple times over 235,000 years, thus predating by more than 180,000 years the earliest known hominins and Oldowan industries from the Eastern side of the basin.Introduction Results - Stratigraphy and archaeology - Early Oldowan ecology at ~ 2 Ma Discussion Methods - Biomarkers - Energy dispersive X-ray fluorescence - Excavation - Fauna - Mineral geochemistry - Phytolith analysis - Pollen and microcharcoal - Stable carbon and oxygen isotope analysis of faunal dental enamel - Stone tool
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