Improvements In Audit Report Lag And Reporting Timeliness: A Non-Event For Technology Advances

Technological advances have transformed the professional lives of all accountants.  Consequential expectations would include improvements in the timing of the audit report and the reporting of financial information.  There is a presumption in the empirical literature that audit report lag is a primary cause of financial reporting delay.  This empirical research study finds little or no change in the audit report lag and timeliness of reporting during the period 1996 to 2001.  Audit report lag appears to play a questionable role, if any, in financial reporting delays and other factors such as inertia and interest may be the major impediments to timely reporting.  Finally, given the financial atmosphere after the Enron-Arthur Andersen debacle, our research finds no difference among auditing firms for the variables examined.  While this could be interpreted in a positive manner, it could also indicate that all Big-5 firms potentially have similar problems

Does A Tone At The Top That Fosters Ethical Decisions Impact Financial Reporting Decisions: An Experimental Analysis

The accounting profession believes the reliability of financial reporting is affected by an organizations internal control, the foundation of which relates to the tone at the top of an organization. Despite attempts by organizations to create ethical environments, financial accountants are sometimes confronted with ethical dilemmas that may affect financial reporting decisions.An experiment that consisted of six different financial reporting scenarios was used to examine the influence of the tone at the top on financial reporting decisions. Subjects were assigned to three different organizational categories in terms of tone at the top a tone that fosters ethical behavior, a tone that does not foster ethical behavior, and a neutral tone. The results support the position that tone at the top does relate to financial reporting decisions

The First Accounting Course: An Outcomes Assessment Approach Project

This paper discusses a class project that can be used in an introductory accounting class as an outcomes assessment tool.  The project is done in groups of four to five students.  Each student analyzes one company’s ratios for a two year period and compares their firm’s ratios with their firm’s industry’s ratios.  When this is complete, the group then uses the individual firm data to make an investment decision.  The investment decision must be based on the data from the individual firm ratios.  Once the group has decided which firm to invest in, they then have to complete a pro-forma income statement for the firm assuming a $2 billion expansion.  Overall, the project is done in steps that help the students build their final project throughout the semester.  The project is submitted at the beginning of the 13th week of classes so that the instructor can grade it and hand it back to the students at the beginning of the 14th week of classes.  The groups present their projects during the last two class periods of the semester.&nbsp

DIT scores and political ideology: evidence of a non-significant relationship

The present study was motivated by concern about the validity of the DIT and methodological issues in Fisher and Sweeney (2001, 1998) studies. Our study of 98 accounting students from three private institutions in the eastern U.S. generates results that directly contradict those of Fisher and Sweeney’s (1998). Using the nine-point scale, we could reject our three hypotheses relating to DIT scores associating with political orientation. First, we find that there was not a significant difference between the pre-test DIT scores of liberal and conservative politically orientated students. Second, the follow on DIT test scores for those students who were not politically conservative did not decrease when responding from a conservative perspective. Third, the follow on DIT test scores for those students who were not politically liberal did not increase when responding from a liberal perspective

The influence of political ideology on DIT scores: fact or artifact?

Concern about the validity of the DIT and Fisher and Sweeney’s measurement of conservative, moderate and liberal political orientation using a seven-point Likert scale motivates our study. We perform two experiments to investigate these interrelated issues. First, we assess the degree to which 569 undergraduate students’ political orientation as measured by a seven-point Likert scale associates with their corresponding political orientation as measured by a ninepoint Likert scale. We find differences in categorization of subjects depending upon scale used, suggesting problems with the sampling distribution arise when a seven-point Likert scale is used for categorizing subjects. Second, we measure 115 students’ political orientation utilizing a nine-point Likert scale to assess Fisher and Sweeney’s findings. Our results suggest that Fisher and Sweeney’s findings may relate to their using a seven-point Likert scale in measuring political orientation rather than a flaw in the DIT’s validity resulting from an embedded political ideology

Nanoparticle inhalation augments particle-dependent systemic microvascular dysfunction

<p>Abstract</p> <p>Background</p> <p>We have shown that pulmonary exposure to fine particulate matter (PM) impairs endothelium dependent dilation in systemic arterioles. Ultrafine PM has been suggested to be inherently more toxic by virtue of its increased surface area. The purpose of this study was to determine if ultrafine PM (or nanoparticle) inhalation produces greater microvascular dysfunction than fine PM. Rats were exposed to fine or ultrafine TiO₂aerosols (primary particle diameters of ~1 μm and ~21 nm, respectively) at concentrations which do not alter bronchoalveolar lavage markers of pulmonary inflammation or lung damage.</p> <p>Results</p> <p>By histopathologic evaluation, no significant inflammatory changes were seen in the lung. However, particle-containing macrophages were frequently seen in intimate contact with the alveolar wall. The spinotrapezius muscle was prepared for in vivo microscopy 24 hours after inhalation exposures. Intraluminal infusion of the Ca²⁺ionophore A23187 was used to evaluate endothelium-dependent arteriolar dilation. In control rats, A23187 infusion produced dose-dependent arteriolar dilations. In rats exposed to fine TiO₂, A23187 infusion elicited vasodilations that were blunted in proportion to pulmonary particle deposition. In rats exposed to ultrafine TiO₂, A23187 infusion produced arteriolar constrictions or significantly impaired vasodilator responses as compared to the responses observed in control rats or those exposed to a similar pulmonary load of fine particles.</p> <p>Conclusion</p> <p>These observations suggest that at equivalent pulmonary loads, as compared to fine TiO₂, ultrafine TiO₂inhalation produces greater remote microvascular dysfunction.</p

Vegetation response to invasive Tamarix control in southwestern U.S. rivers: a collaborative study including 416 sites

Most studies assessing vegetation response following control of invasive Tamarix trees along southwestern U.S. rivers have been small in scale (e.g., river reach), or at a regional scale but with poor spatial-temporal replication, and most have not included testing the effects of a now widely used biological control. We monitored plant composition following Tamarix control along hydrologic, soil, and climatic gradients in 244 treated and 172 reference sites across six U.S. states. This represents the largest comprehensive assessment to date on the vegetation response to the four most common Tamarix control treatments. Biocontrol by a defoliating beetle (treatment 1) reduced the abundance of Tamarix less than active removal by mechanically using hand and chain-saws (2), heavy machinery (3) or burning (4). Tamarix abundance also decreased with lower temperatures, higher precipitation, and follow-up treatments for Tamarix resprouting. Native cover generally increased over time in active Tamarix removal sites, however, the increases observed were small and was not consistently increased by active revegetation. Overall, native cover was correlated to permanent stream flow, lower grazing pressure, lower soil salinity and temperatures, and higher precipitation. Species diversity also increased where Tamarix was removed. However, Tamarix treatments, especially those generating the highest disturbance (burning and heavy machinery), also often promoted secondary invasions of exotic forbs. The abundance of hydrophytic species was much lower in treated than in reference sites, suggesting that management of southwestern U.S. rivers has focused too much on weed control, overlooking restoration of fluvial processes that provide habitat for hydrophytic and floodplain vegetation. These results can help inform future management of Tamarix-infested rivers to restore hydrogeomorphic processes, increase native biodiversity and reduce abundance of noxious species

Qatar-2: A K dwarf orbited by a transiting hot Jupiter and a more massive companion in an outer orbit

We report the discovery and initial characterization of Qatar-2b, a hot Jupiter transiting a V = 13.3 mag K dwarf in a circular orbit with a short period, P_ b = 1.34 days. The mass and radius of Qatar-2b are M_p = 2.49 M_j and R_p = 1.14 R_j, respectively. Radial-velocity monitoring of Qatar-2 over a span of 153 days revealed the presence of a second companion in an outer orbit. The Systemic Console yielded plausible orbits for the outer companion, with periods on the order of a year and a companion mass of at least several M_j. Thus Qatar-2 joins the short but growing list of systems with a transiting hot Jupiter and an outer companion with a much longer period. This system architecture is in sharp contrast to that found by Kepler for multi-transiting systems, which are dominated by objects smaller than Neptune, usually with tightly spaced orbits that must be nearly coplanar

Corn Nitrogen Nutrition Index Prediction Improved by Integrating Genetic, Environmental, and Management Factors with Active Canopy Sensing Using Machine Learning

Accurate nitrogen (N) diagnosis early in the growing season across diverse soil, weather, and management conditions is challenging. Strategies using multi-source data are hypothesized to perform significantly better than approaches using crop sensing information alone. The objective of this study was to evaluate, across diverse environments, the potential for integrating genetic (e.g., comparative relative maturity and growing degree units to key developmental growth stages), environmental (e.g., soil and weather), and management (e.g., seeding rate, irrigation, previous crop, and preplant N rate) information with active canopy sensor data for improved corn N nutrition index (NNI) prediction using machine learning methods. Thirteen site-year corn (Zea mays L.) N rate experiments involving eight N treatments conducted in four US Midwest states in 2015 and 2016 were used for this study. A proximal RapidSCAN CS-45 active canopy sensor was used to collect corn canopy reflectance data around the V9 developmental growth stage. The utility of vegetation indices and ancillary data for predicting corn aboveground biomass, plant N concentration, plant N uptake, and NNI was evaluated using singular variable regression and machine learning methods. The results indicated that when the genetic, environmental, and management data were used together with the active canopy sensor data, corn N status indicators could be more reliably predicted either using support vector regression (R2 = 0.74–0.90 for prediction) or random forest regression models (R2 = 0.84–0.93 for prediction), as compared with using the best-performing single vegetation index or using a normalized difference vegetation index (NDVI) and normalized difference red edge (NDRE) together (R2 \u3c 0.30). The N diagnostic accuracy based on the NNI was 87% using the data fusion approach with random forest regression (kappa statistic = 0.75), which was better than the result of a support vector regression model using the same inputs. The NDRE index was consistently ranked as the most important variable for predicting all the four corn N status indicators, followed by the preplant N rate. It is concluded that incorporating genetic, environmental, and management information with canopy sensing data can significantly improve in-season corn N status prediction and diagnosis across diverse soil and weather conditions

Breaking the Degeneracies Between Cosmology and Galaxy Bias

Adopting the framework of the Halo Occupation Distribution (HOD), we investigate the ability of galaxy clustering measurements to simultaneously constrain cosmological parameters and galaxy bias. Starting with a fiducial cosmological model and galaxy HOD, we calculate spatial clustering observables on a range of length and mass scales, dynamical clustering observables that depend on galaxy peculiar velocities, and the galaxy-matter cross-correlation measurable by weak lensing. We then change one or more cosmological parameters and use chi^2-minimization to find the galaxy HOD that best reproduces the original clustering. Our parameterization of the HOD incorporates a flexible relation between galaxy occupation numbers and halo mass and allows spatial and velocity bias of galaxies within dark matter halos. Despite this flexibility, we find that changes to the HOD cannot mask substantial changes to the matter density Omega_m, the matter clustering amplitude sigma_8, or the shape parameter Gamma of the linear matter power spectrum -- cosmology and bias are not degenerate. With the conservative assumption of 10% fractional errors, the set of observables considered here can provide ~10% (1 sigma) constraints on sigma_8, Omega_m, and Gamma, using galaxy clustering data ALONE. The combination sigma_8*Omega_m^0.75 is constrained to ~5%. In combination with traditional methods that focus on large scale structure in the "perturbative" regime, HOD modeling can greatly amplify the cosmological power of galaxy redshift surveys by taking advantage of high-precision clustering measurements at small and intermediate scales (from sub-Mpc to ~20Mpc/h). At the same time, the inferred constraints on the galaxy HOD provide valuable tests of galaxy formation theory.Comment: 31 pages, 16 figures. Accepted for publication in ApJ. Minor changes to match the accepted versio