Estimating discretionary accruals using a grouping genetic algorithm

A number of different models have been suggested for detecting earnings management but the linear regression-based model presented by Jones (1991) is the most frequently used. The underlying assumption with the Jones model is that earnings are managed through accounting accruals. Typically, the companies for which earnings management is studied are grouped based on their industries. It is thus assumed that the accrual generating process for companies within a specific industry is similar. However, some studies have recently shown that this assumption does not necessarily hold. An alternative approach which returns a grouping which is, if not optimal, at least very close to optimal is the use of genetic algorithms. The purpose of this study is to assess the performance of the cross-sectional Jones accrual model when the data set firms are grouped using a grouping genetic algorithm. The results provide strong evidence that the grouping genetic algorithm method outperforms the various alternative grouping methods.     

Fuzzy linear regression-based detection of earnings management

A large number of accounting studies have examined the occurrence of earnings management in various contexts. In most of these studies, the earnings management detection model is based on the linear regression model suggested by Jones (1991). A considerable problem with the Jones model is the requirement of long time series of financial statement data. An alternative to estimating the linear regression model coefficients with ordinary least squares (OLS) is to use fuzzy linear regression (FLR) instead. One of the main advantages with FLR described in the literature is its ability to handle small data sets. The purpose of this study is to compare the performance of the OLS-based Jones model with the performance of the FLR-based Jones model. The results show that the performance of both types of models decreases when the length of the time series decreases and that there is no significant difference in the estimated discretionary accruals between the models. The results also show that the FLR-based Jones model outperforms the OLS-based Jones model in detecting simulated earnings management when the estimation time series is short. Overall, the results show that the FLR-based Jones model is a feasible alternative to the OLS-based Jones model, especially when the length of the estimation time series is restricted by data availability.     

Calculating extreme surface temperatures

Professor Höglund, of the Division of Building Technology, Royal Institute of Technology, Stockholm, submits a theoretical method of calculating extreme temperatures on the outer surfaces of buildings under non-stationary conditions, taking into account both heat tansfer by convection and exchange of short-wave and long-wave radiation with the surroundings.     

Lubricating Grease Shear Flow and Boundary Layers in a Concentric Cylinder Configuration

Grease is extensively used to lubricate various machine elements such as rolling bearings, seals, and gears. Understanding the flow dynamics of grease is relevant for the prediction of grease distribution for optimum lubrication and for the migration of wear and contaminant particles. In this study, grease flow is visualized using microparticle image velocimetry (μPIV). The experimental setup includes a concentric cylinder configuration with a rotating shaft to simulate the grease flow in a double restriction seal geometry with two different grease pocket sizes. It is shown that the grease is partially yielded in the large grease pocket geometry and fully yielded in the small grease pocket. For the small grease pocket, it is shown that three distinct grease flow layers are present: a high shear rate region close to the stationary wall, a bulk flow layer, and a high shear rate boundary region near the rotating shaft. The grease shear thinning behavior and its wall slip effects have been identified. The μPIV experimental results have been compared with a numerical model for both the large and small gap size. It is shown that the flow is close to one-dimensional in the center of the small pocket. A one-dimensional analytical model based on the Herschel-Bulkley rheology model has been developed, showing good agreement with the measured velocity profiles in the small grease pocket. Furthermore, wall slip effects and shear banding are observed, where the latter imply that using the assumption of uniform shear in conventional concentric cylinder rheometers may result in erroneous rheological results.     

Experiments on second intermediate fish host related cercarial transmission of the eyefluke Diplostomum spathaceum into rainbow trout (Oncorhynchus mykiss)

Cytogenetic analysis of short-term cultures from 15 cases of benign proliferative breast disease (PBD), 10 diffuse PBD and 5 papillomas, and 15 fibroadenomas of the breast revealed clonal chromosome abnormalities in 7 diffuse PBD lesions, 4 papillomas and 5 fibroadenomas. The remaining 14 cases had a normal female chromosome complement. Cytogenetically unrelated abnormal clones were seen in 4 fibroadenomas and 2 PBDs. A single abnormal clone was found in 9 PBDs and 1 fibroadenoma. Three clonal abnormalities were seen as recurrent changes in 6 cases, namely interstitial deletions of 3p with 3p 12-14 as the minimally common deleted segment (in 1 papilloma, 1 diffuse PBD with atypia and 1 mixed-pattern lesion with both papilloma and atypical diffuse PBD features), r(9)(p24q34) (in 1 diffuse PBD and 1 fibroadenoma), and del(1)(q12)(again in 1 diffuse PBD and 1 fibroadenoma). Intriguingly, 6 of the 16 abnormal cases had chromosome changes that have been seen repeatedly as primary abnormalities in breast carcinomas: der(16)t(1;16)(q10;p10), del(3)(p12p14), and del(1)(q12). We conclude that some of the chromosome anomalies frequently found in breast carcinomas are also present in PBD and fibroadenomas. These aberrations may be accepted as early, neoplasia-relevant mutations. However, they do not seem to be sufficient by themselves to unleash a malignant process.     

Alpha1/alpha2 domains of H-2D(d), but not H-2L(d), induce "missing self" reactivity in vivo--no effect of H-2L(d) on protection against NK cells expressing the inhibitory receptor Ly49G2

Introduction of the MHC class I transgene H-2Dd on C57BL/6 (B6) background conveys NK cell-mediated "missing self" reactivity against transgene-negative cells, and down-regulates expression of the inhibitory receptors Ly49A and Ly49G2 in NK cells. We here present an analysis of transgenic mice expressing chimeric H-2Dd/Ld MHC class I transgenes, and show that the alpha1/alpha2 domains of H-2Dd were necessary and sufficient to induce "missing self" recognition and to down-modulate Ly49A and Ly49G2 receptors. In contrast, transgenes containing the alpha1/alpha2 domains of H-2Ld induced none of these changes, suggesting that not all MHC class I alleles in a host necessarily take part in NK cell education. The lack of effect of the alpha1/alpha2 domains of H-2Ld on NK cell specificity was surprising, considering that both H-2Ld and H-2Dd have been reported to interact with Ly49G2. Therefore, the role of H-2Ld for protection against NK cells expressing Ly49G2 was re-investigated in a transfection system. In contradiction to earlier reports, we show that H-2Dd, but not H-2Ld, abolished killing by sorted Ly49G2+ NK cells, indicating that H-2Ld does not inhibit NK cells via the Ly49G2 receptor.     

Genome scan detects quantitative trait loci affecting female fertility traits in Danish and Swedish Holstein cattle

Data from the joint Nordic breeding value prediction for Danish and Swedish Holstein grandsire families were used to locate quantitative trait loci (QTL) for female fertility traits in Danish and Swedish Holstein cattle. Up to 36 Holstein grandsires with over 2,000 sons were genotyped for 416 microsatellite markers. Single trait breeding values were used for 12 traits relating to female fertility and female reproductive disorders. Data were analyzed by least squares regression analysis within and across families. Twenty-six QTL were detected on 17 different chromosomes. The best evidence was found for QTL segregating on Bos taurus chromosome (BTA)1, BTA7, BTA10, and BTA26. On each of these chromosomes, several QTL were detected affecting more than one of the fertility traits investigated in this study. Evidence for segregation of additional QTL on BTA2, BTA9, and BTA24 was found.     

Cytogenetic and fluorescence in situ hybridization characterization of chromosome 1 rearrangements in head and neck carcinomas delineate a target region for deletions within 1p11-1p13

Cytogenetic analyses have revealed structural rearrangements of chromosome 1 in a large fraction of head and neck carcinomas (HNCA). These aberrations frequently affect chromosomal band 1p13 and the centromeric region, the latter often in the form of isochromosome i(1q) and whole-arm translocations. To delineate the critical region involved in rearrangements of proximal 1p, we have undertaken a more precise breakpoint mapping in 13 HNCAs, using metaphase fluorescence in situ hybridization with 11 yeast artificial chromosome (YAC) clones spanning 1p. All of the tumors had chromosome 1 changes at G-banding analyses. Fluorescence in situ hybridization showed that in almost all of the cases, at least one copy of chromosome 1 was affected by centromeric rearrangement. By the use of YAC clones mapped to juxtacentromeric regions and a centromere-specific alpha-satellite probe, we detected variable breakpoints in the whole-arm translocations. At the cytogenetic level, 1p13 rearrangements were frequent. However, molecular breakpoints within this band varied among the HNCAs tested. The lack of consistently rearranged chromosome segments indicates that the pathogenetically important consequence of 1p rearrangements in HNCAs is loss and/or gain of genes outside the breakpoint regions. In an assessment of the genomic imbalances, partial or complete overrepresentation of 1q was seen in eight cases. Loss of 1p material was also identified in eight cases; and in four of them, the deleted segments were too small to be discovered by G-banding analysis. The minimal overlapping deleted region was in the interval between YAC 959C4 (band p11-p12) and the centromere (p10). Our findings indicate that a target region potentially harboring tumor suppressor gene(s) crucial for HNCA is located within chromosomal bands 1p11-p13.