Institutional Ownership and Discretionary Accruals: Empirical Evidences from Pakistani Listed Non-Financial Companies

Current study empirically investigates the impact of institutional ownership on discretionary accruals; we took a sample size of 68 listed non -financial companies from a population of 652 companies listed on Karachi Stock Exchange (KSE). This data was gathered for the period of 5 years, starting from 2006 up to 2010. Modified Jones Model was employed for this study to quantify discretionary accruals while institutional ownership measured by dividing number of shares kept by institutions from total number of shares outstanding. The fix effect model showed that the magnitude of discretionary accruals in Pakistani listed firms tends to significantly decrease for the firms where institutions hold a decent amount of share of that particular firm. Thus the findings of this study are in consensus with our hypothesis, which proposes that institutional ownership is quite an effective tool in aligning insider management and administration to take the right decision for value maximizing of the companies, and thus shareholders

Empyema thoracis in children: clinical presentation, management and complications

Objective: To determine the etiology, clinical manifestation, management (medical and surgical) and complications of children with empyema thoracis in a tertiary care hospital from Karachi, Pakistan. Study Design: Descriptive, analytical study. Place and Duration of Study: Department of Surgery, The Aga Khan University Hospital, Karachi, from January 1996 to December 2010. Methodology: Medical records of admitted children aged \u3e a month to 15 years with discharge diagnosis of empyema thoracis and data was collected on demographic features, clinical manifestation, management and complications. Children managed medically were compared with those managed surgically by using interquartile range and median comparison. Mann-Whitney U test was used to compare age in months, weight (kg) and length of stay in days and presenting complaint, duration of illness; chi-square test was used to compare thrombocytosis in between groups and p-value was calculated. Results: Among the 112 patients, 59 (53%) were younger than 5 years of age. Males (n=83, 74%) were predominant. Fifty (45%) children were admitted in winter. Thirty (27%) children found unvaccinated and one fourth (n=27; 24%) were severely malnourished. Fever, cough, and dyspnea were the major presenting symptoms. Sixty-six (59%) were on some antibiotics prior to admission. Staphylococcus aureus (n=13) and Streptococcus pneumoniae (n=5) were the commonest organism isolated from blood and pleural fluid cultures. Majority of the children required some surgical intervention (n=86). Surgically managed children were younger (p=0.01); had less weight (p=0.01) and prolonged fever (p=0.02); and stayed longer in hospital (p \u3c 0.001) as compared to medically managed children. Requiring readmission (n=8), subcutaneous emphysema (n=5) and recollection of pus (n=5) were the major complications. Conclusion: Staphylococcus aureus was the major organism associated with paediatric empyema thoracis. Early identification and empiric antibiotic as per local data is essential to prevent short and long-term complications. Younger, lower weight children with prolonged fever required surgical management

Performance Analysis in Vitro Method of Antimicrobial Activity in Different Commercial Antibiotics

This study was motivated by the fact that certain food poisonings and harmful microorganisms in ethanol and water determine roselle (Hibiscus sabdariffa), rosemary (Rosmarinus officinalis), clove (Syzygium aromaticum), and thyme (Thymus vulgaris). is to exhibit the capacity to eliminate Least inhibitory focuses (MICs) of different plant extricates against Gram-positive microorganisms (Bacillus cereus, Staphylococcus aureus), Gram-negative microscopic organisms (Escherichia coli, Enteritidis, Vibrio parahaemolyticus, Pseudomonas aeruginosa) and parasites (Candida albicans) and antibacterial impacts were explored. It is dissolved and measured using the agar well dispersion technique. The concentrate showed antimicrobial efficacy against the microorganisms and yeast used in the tests. Both pHint reduction and cell layer hyperpolarization indicated that the plant extract had a profound effect on the membranes of Gram-positive and Gram-negative microorganisms. Overall, plant extracts have significant potential as unique regular food additives due to their antibacterial properties

Estimation of airship states and model uncertainties using nonlinear estimators

This Airships are lighter than air vehicles and due to their growing number of applications, they are becoming attractive for the research community. Most of the applications require an airship autonomous flight controller which needs an accurate model and state information. Usually, airship states are affected by noise and states information can be lost in the case of sensor's faults, while airship model is affected by model inaccuracies and model uncertainties. This paper presents the application of nonlinear and Bayesian estimators for estimating the states and model uncertainties of neutrally buoyant airship. It is considered that minimum sensor measurements are available, and data is corrupted with process and measurement noise. A novel lumped model uncertainty estimation approach is formulated where airship model is augmented with six extra state variables capturing the model uncertainty of the airship. The designed estimator estimates the airship model uncertainty along with its states. Nonlinear estimators, Extended Kalman Filter and Unscented Kalman Filter are designed for estimating airship attitude, linear velocities, angular velocities and model uncertainties. While Particle filter is designed for the estimation of airship attitude, linear velocities and angular velocities. Simulations have been performed using nonlinear 6-DOF simulation model of experimental airship for assessing the estimator performances. 1− uncertainty bound and error analysis have been performed for the validation. A comparative study of the estimator's performances is also carried out

Ethnic differences in maternal diet in pregnancy and infant eczema

Background The global prevalence of childhood eczema has increased over the last few decades, with a marked increase in high-income countries. Differences in prevalence of childhood eczema between countries and ethnicities suggest that genetic and early modifiable environmental factors, such as dietary intake, may underlie this observation. To investigate the association between pregnancy diet and infant eczema in a consortium of prospective Canadian birth cohorts predominantly comprised of white Europeans and South Asians. Methods We evaluated the association of maternal dietary patterns reported during pregnancy (assessed at 24–28 weeks gestation using a semi-quantitiative food-frequency questionnaire) with parent-reported physician-diagnosed infant eczema at 1-year from 2,160 mother-infant pairs. Using three dietary patterns (“Western”, “plant-based”, and “Balanced”) previously derived in this cohort using principal component analysis, we used multivariable logistic regression to determine the association of these dietary patterns with infant eczema, adjusted for potential confounders. Results We observed a lower odds of eczema in the full sample combining white Europeans and South Asians with greater adherence to a plant-based (OR = 0.65; 95% CI: 0.55, 0.76; <0.001) and Western dietary pattern (OR = 0.73; 95% CI: 0.60, 0.89; P<0.01), after adjusting for other known predictors of eczema, including ethnicity, which was not significant. No associations were observed for the balanced diet. An interaction between the Western diet and ethnicity was observed (P<0.001). Following stratification by ethnicity, a protective association between the plant-based diet and infant eczema was confirmed in both white Europeans (OR = 0.59; 95% CI: 0.47, 0.74; P<0.001) and South Asians (OR = 0.77; 95% CI: 0.61, 0.97; P = 0.025). In white Europeans only, a Western diet was associated with a lower odds of infant eczema (OR = 0.69; 95% CI: 0.56, 0.87; P = 0.001) while a balanced diet increased the odds of infant eczema (OR = 1.23; 95% CI: 1.02, 1.49; P = 0.03). Beyond a plant-based diet, no significant associations with other dietary patterns were observed in South Asians. Conclusion A plant-based diet during pregnancy is associated with a lowered odds of infant eczema at 1 year in all participants. Future studies of the components of plant-based diet which underlie the lower risk of eczema are needed

Harmonization of Food-Frequency Questionnaires and Dietary Pattern Analysis in 4 Ethnically Diverse Birth Cohorts

Background: Canada is an ethnically diverse nation, which introduces challenges for health care providers tasked with providing evidence-based dietary advice. Objectives: We aimed to harmonize food-frequency questionnaires (FFQs) across 4 birth cohorts of ethnically diverse pregnant women to derive robust dietary patterns to investigate maternal and newborn outcomes. Methods: The NutriGen Alliance comprises 4 prospective birth cohorts and includes 4880 Canadian mother-infant pairs of predominantly white European [CHILD (Canadian Healthy Infant Longitudinal Development) and FAMILY (Family Atherosclerosis Monitoring In earLY life)], South Asian [START (SouTh Asian birth cohoRT)-Canada], or Aboriginal [ABC (Aboriginal Birth Cohort)] origins. CHILD used a multiethnic FFQ based on a previously validated instrument designed by the Fred Hutchinson Cancer Research Center, whereas FAMILY, START, and ABC used questionnaires specifically designed for use in white European, South Asian, and Aboriginal people, respectively. The serving sizes and consumption frequencies of individual food items within the 4 FFQs were harmonized and aggregated into 36 common food groups. Principal components analysis was used to identify dietary patterns that were internally validated against self-reported vegetarian status and externally validated against a modified Alternative Healthy Eating Index (mAHEI). Results: Three maternal dietary patterns were identified—“plant-based,” “Western,” and “health-conscious”—which collectively explained 29% of the total variability in eating habits observed in the NutriGen Alliance. These patterns were strongly associated with self-reported vegetarian status (OR: 3.85; 95% CI: 3.47, 4.29; r2 = 0.30, P < 0.001; for a plant-based diet), and average adherence to the plant-based diet was higher in participants in the fourth quartile of the mAHEI than in the first quartile (mean difference: 46.1%; r2 = 0.81, P < 0.001). Conclusion: Dietary data collected by using FFQs from ethnically diverse pregnant women can be harmonized to identify common dietary patterns to investigate associations between maternal dietary intake and health outcomes

A Pseudo-EM Algorithm for Clustering Incomplete Longitudinal Data

A method for clustering incomplete longitudinal data, and gene expression time course data in particular, is presented. Specifically, an existing method that utilizes mixtures of multivariate Gaussian distributions with modified Cholesky-decomposed covariance structure is extended to accommodate incomplete data. Parameter estimation is carried out in a fashion that is similar to an expectation-maximization algorithm. We focus on the particular application of clustering incomplete gene expression time course data. In this application, our approach gives good clustering performance when compared to the results when there is no missing data. Possible extensions of this work are also suggested.

Standardizing interestingness measures for association rules

Interestingness measures provide information about association rules. The value of an interestingness measure is often interpreted relative to the overall range of the interestingness measure. However, properties of individual association rules can further restrict what value an interestingness measure can achieve. These additional constraints are not typically taken into account in analysis, potentially misleading the investigator. Considering the value of an interestingness measure relative to this further constrained range provides greater insight than the original range alone and can even alter researchers' impressions of the data. Standardizing interestingness measures takes these additional restrictions into account, resulting in values that provide a relative measure of the attainable values. We explore the impacts of standardizing interestingness measures on real and simulated data.Insight Research CentreNatural Sciences and Engineering Research Council of CanadaOntario Ministry of Research and Innovatio