ANALISIS SISTEM INFORMASI AKUNTANSI PADA YAYASAN ALPHA OMEGA

Sistem Informasi Akuntansi Penerimaan dan Pengeluaran Kas yang diterapkan pada perusahaan Yayasan Alpha Omega terlihat kurang baik, maka peneliti melakukan penelitian ini untuk mengetahui masalah yang ada,demi memperbaiki dan mencapai tujuan perusahaan. Dua kegiatan oprasional yang mempengaruhi kondisi perusahaan adalah Penerimaan Kas dan Pengeluaran Kas. Metode penelitian deskriftif yang digunakan dalam penelitan ini. Sistem akuntansi penerimaan dan pengeluaran kas pada Yayasan Alpha Omega masih terdapat beberapa kelemahan. Berdasarkan hasil analisis data yang dilakukan, ditemukan kendala diantaranya selisih pencatatan yangterdapat pada bagian admin dan bagian keuangan. Yayasan Alpha Omega disarankan untuk merubah proses penerimaan dan pengeluaran nya yang berjalan, dengan prosedur yang diusulkan oleh penulis. Hal tersebut dilakukan agar Yayasan Alpha Omega dapat meningkatkan kinerja perusahaan dengan Sistem Informasi Akuntansi yang lebih baik

NIDDK’s Short-Term Research Experience for Underrepresented Persons (STEP-UP) Program

This abstract provides an overview to this issue

The Transmembrane Domains of the EBV-Encoded Latent Membrane Protein 1 (LMP1) Variant CAO Regulate Enhanced Signalling Activity

AbstractSequence variants of the Epstein–Barr virus (EBV)-encoded latent membrane protein-1 (LMP1) have been reported in association with EBV-linked malignancies but little is known about their effects on signalling pathways and phenotype. We have examined the ability of the nasopharyngeal carcinoma (NPC)-derived variant, CAO-LMP1 to activate the transcription factors NF-κB and AP-1 in epithelial cells. In this study, transient expression of CAO-LMP1 was found to activate higher levels of NF-κB and AP-1 than the prototype B95.8-LMP1 in human embryonic kidney (HEK) 293 cells and SV40-transformed keratinocytes (SVK). In addition, pulse–chase analysis revealed that CAO-LMP1 has a longer half-life than B95.8-LMP1. Chimera studies localised these phenomena to the transmembrane domains of CAO-LMP1, suggesting that this enhanced signalling capacity may be a consequence of its prolonged half-life. The ability of CAO-LMP1 to activate higher levels of NF-κB and AP-1 may contribute to its potent transforming properties

Judgmental adjustments of previously adjusted forecasts

Forecasts are important components of information systems. They provide a means for knowledge sharing and thus have significant decision-making impact. In many organizations, it is quite common for forecast users to receive predictions that have previously been adjusted by providers or other users of forecasts. Current work investigates some of the factors that may influence the size and propensity of further adjustments on already-adjusted forecasts. Two studies are reported that focus on the potential effects of adjustment framing (Study 1) and the availability of explanations and/or original forecasts alongside the adjusted forecasts (Study 2). Study 1 provides evidence that the interval forecasts that are labeled as "adjusted" are modified less than the so-called "original/unadjusted" predictions. Study 2 suggests that the provision of original forecasts and the presence of explanations accompanying the adjusted forecasts serve as significant factors shaping the size and propensity of further modifications. Findings of both studies highlight the importance of forecasting format and user perceptions with critical organizational repercussions. © 2008, Decision Sciences Institute

Self Consistent Molecular Field Theory for Packing in Classical Liquids

Building on a quasi-chemical formulation of solution theory, this paper proposes a self consistent molecular field theory for packing problems in classical liquids, and tests the theoretical predictions for the excess chemical potential of the hard sphere fluid. Results are given for the self consistent molecular fields obtained, and for the probabilities of occupancy of a molecular observation volume. For this system, the excess chemical potential predicted is as accurate as the most accurate prior theories, particularly the scaled particle (Percus-Yevick compressibility) theory. It is argued that the present approach is particularly simple, and should provide a basis for a molecular-scale description of more complex solutions.Comment: 6 pages and 5 figure

Extending the lifetime of 3D black hole computations with a new hyperbolic system of evolution equations

We present a new many-parameter family of hyperbolic representations of Einstein's equations, which we obtain by a straightforward generalization of previously known systems. We solve the resulting evolution equations numerically for a Schwarzschild black hole in three spatial dimensions, and find that the stability of the simulation is strongly dependent on the form of the equations (i.e. the choice of parameters of the hyperbolic system), independent of the numerics. For an appropriate range of parameters we can evolve a single 3D black hole to $t \simeq 600 M$ -- $1300 M$, and are apparently limited by constraint-violating solutions of the evolution equations. We expect that our method should result in comparable times for evolutions of a binary black hole system.Comment: 11 pages, 2 figures, submitted to PR

Hierarchical Organization in Complex Networks

Many real networks in nature and society share two generic properties: they are scale-free and they display a high degree of clustering. We show that these two features are the consequence of a hierarchical organization, implying that small groups of nodes organize in a hierarchical manner into increasingly large groups, while maintaining a scale-free topology. In hierarchical networks the degree of clustering characterizing the different groups follows a strict scaling law, which can be used to identify the presence of a hierarchical organization in real networks. We find that several real networks, such as the World Wide Web, actor network, the Internet at the domain level and the semantic web obey this scaling law, indicating that hierarchy is a fundamental characteristic of many complex systems