4,448 research outputs found

    Analyzing financial factors to improve production and business efficiency

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    In order to complete this paper, the authors would like to thank Thai Nguyen Iron and Steel Joint Stock Company for their support in discussing and providing necessary information related to the article, thank SHB Commercial Joint Stock Bank for supporting the review of the paper and financial results for the authors in the research process. The authors also thank the Faculty of Economic Information Systems, Thai Nguyen University of Information and Communication Technology.Purpose: The paper’s aim is to analyze the business and production activities of an enterprise on researching and analyzing financial situation and factors affecting financial indices. On this basis, the article gives a panoramic view of the current financial situation and offers effective solutions to manage finances. Design/Methodology/Approach: In this article we have conducted a survey and analyzed the reality of the financial situation of TISCO in the period of 2016-2018. On that basis, the authors proposed an effective financial management solution for TISCO. Findings: On the basis of analyzing the advantages of an enterprise financial factor analysis methods the paper took advantage of the strengths of the existing method combined with testing analysis, descriptive statistics and charts to assess the current situation and give general and specific overview of the financial situation of large Vietnamese enterprises such as TISCO. The paper suggests a solution for the corporate restructuring of TISCO. Practical implications: Based on the methods of financial factor analysis combined with descriptive statistical analysis the article has been applied to analyze and assess the actual financial situation in large enterprises in Vietnam and make recommendations on corporate financial management to help businesses operate more effectively. Originality/Value: The authors have conducted research and applied the analysis of the financial reality of a large enterprise that is now in a period of great loss. This article gives an accurate, honest and objective assessment of the reality of TISCO making effective recommendations on corporate financial management.peer-reviewe

    Fast kinetic Monte Carlo simulation of strained heteroepitaxy in three dimensions

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    Accelerated algorithms for simulating the morphological evolution of strained heteroeptiaxy based on a ball and spring lattice model in three dimensions are explained. We derive exact Green's function formalisms for boundary values in the associated lattice elasticity problems. The computational efficiency is further enhanced by using a superparticle surface coarsening approximation. Atomic hoppings simulating surface diffusion are sampled using a multi-step acceptance-rejection algorithm. It utilizes quick estimates of the atomic elastic energies from extensively tabulated values modulated by the local strain. A parameter controls the compromise between accuracy and efficiency of the acceptance-rejection algorithm.Comment: 10 pages, 4 figures, submitted to Proceedings of Barrett Lectures 2007, Journal of Scientific Computin

    Deficit Irrigation of Kentucky Bluegrass for Intermountain West Urban Landscapes

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    Due to end users irrigating with excess water, water conservation of turfgrass can make a large impact in urban water conservation by reducing water applied while still maintaining visual appearance. This study was conducted to determine if Kentucky bluegrass (Poapratensis L.) can be deficit irrigated to maintain minimum acceptable appearance while conserving water. The study investigated water stress in terms of stomatal conductance, chlorophyll index, leaf temperature and predawn leaf water potential at the point of water stress, or where visual quality no longer meets expectations during dry down conditions. Water use was measured over well established Kentucky bluegrass with an eddy covariance system that was validated with soil water measurements. Turfgrass was irrigated at 80% of reference evapotranspiration based on allowable depletion of 12 mm of soil water during growing season that was considered to be well-watered. Two dry downs were conducted over a two-year period (early and late summer). Turfgrass was allowed to dry down without irrigation until visual quality reached the minimum acceptable points (score ≤ 6). During drying periods, visual rating, chlorophyll index, predawn leaf water potential, and leaf temperature with stomatal conductance rapidly decreased once stomatal conductance fell to approximately half of well-watered levels. Both soil water content and evapotranspiration had weak correlation with stomatal conductance; however, stomatal conductance tended to have higher correlation with the change in soil moisture than with the change in crop evapotranspiration. Soil water use and eddy covariance data in terms of crop evapotranspiration had high correlation. The plant water use factor ranged from around 0.8 to 1.1 under well-watered condition corresponding to visual rating from 7 to 9. At the minimum acceptable point of visual rating, which is 5.5 to 6, the plant factor ranged from 0.65 to 0.87. This value of plant factor is quite high at this point. Even when Kentucky bluegrass went below acceptable visual quality, the grass still used significant amounts of water with the plant factor value ranging from 0.6 to 0.8. The data suggested that deficit irrigation cannot be applied with Kentucky bluegrass in the Intermountain West area

    Non-stationarity of isomorphism between AF algebras defined by stationary Bratteli diagrams

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    We first study situations where the stable AF-algebras defined by two square primitive nonsingular incidence matrices with nonnegative integer matrix elements are isomorphic even though no powers of the associated automorphisms of the corresponding dimension groups are isomorphic. More generally we consider neccessary and sufficient conditions for two such matrices to determine isomorphic dimension groups. We give several examples.Comment: 16 page

    Cyanine Dyes Targeting G-quadruplex DNA: Significance in Sequence and Conformation Selectivity

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    Small molecules interacting with DNA is an emerging theme in scientific research due to its specificity and minimal side-effect. Moreover, a large amount of research has been done on finding compounds that can stabilize G-quadruplex DNA, a non-canonical secondary DNA structure, to inhibit cancerous cell proliferation. G-quadruplex DNA is found in the guanine-rich region of the chromosome that has an important role in protecting chromosomes from unwinding, participate in gene expression, contribute in the control replication of cells and more. In this research, rationally designed, synthetic cyanine dye derivatives, which were tested under physiologically relevant conditions, were found to selectively bind to G-quadruplex over duplex DNA and are favored to one structure over another. The interactions were observed using UV-Vis thermal melting, fluorescence titration, circular dichroism titration, and surface plasmon resonance analysis. For fluorescence and selectivity properties, cyanine dyes, therefore, have the potential to become the detections and/or therapeutic drugs to target cancers and many other fatal diseases

    Photocleavable Linker for Protein Affinity Labeling to Identify the Binding Target of KCN-1

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    KCN-1 is known to reduce tumor growth 6-fold in mice implanted with LN229 glioma cells. Although this inhibitor is effective, the mechanism of action for KCN-1 is not well understood. Based on preliminary studies, KCN-1 reduces tumor growth by disrupting the HIF 1 (hypoxia-induced factor-1) pathway. The binding target of KCN-1 needs to be investigated in order to develop KCN-1 or its analogs for therapeutic applications. In this research, a molecule was designed and synthesized for the identification of the binding target of KCN-1. Specifically, this molecule contains the inhibitor (KCN-1), a photocleavable linker, beads, and the affinity label (L DOPA). When UV light shines on the linker, the trans-alkene isomerizes to cis-alkene and undergoes intramolecular ring-closing reaction, which helps cleave the immobilized bead from the linker. The immobilized bead is used to separate the binding fragment attached to the photocleavable linker from the solution after enzyme digestion. The affinity label (L-DOPA) reacts with a nucleophile from the binding target and creates a covalent bond. If the design is successful, this method is able to analyze the mass of the peptide sequence and determine the binding target of KCN-1

    Orientation of particle attachment and local isotropy in diffusion limited aggregation (DLA)

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    We simulate 50 off-lattice DLA clusters, one million particles each. The probability distribution of the angle of attachment of arriving particles with respect to the local radial direction is obtained numerically. For increasing cluster size, NN, the distribution crosses over extremely accurately to a cosine, whose amplitude decreases towards zero as a power-law in NN. From this viewpoint, asymptotically large DLA clusters are locally isotropicisotropic. This contradicts previous conclusions drawn from density-density correlation measurements [P. Meakin, and T. Viscek, Phys. Rev. A {\bf 32}, 685 (1985)]. We present an intuitive phenomenological model random process for our numerical findings.Comment: 10 pages, RevTex 3.0, 11-9
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