Tertiary Performance, Field of Study and Graduate Starting Salaries

This paper analyses data from the University of Western Australia (UWA) Graduate Destination Survey linked to information from the University’s Student Records System to explore the determinants of graduates’ starting salaries over the years 2002 to 2004. While the details examined also include age, gender, language spoken at home, country of birth, disability status and high school attended, most emphasis is placed on the impact on starting salaries of students’ academic performance and their field of study. The analyses show that the main determinant of graduates’ starting salaries is the weighted average mark they achieve at university. The salary differentials associated with higher marks in the Australian labour market appear greater than those reported in similar studies of the United States and United Kingdom labour markets. Science graduates are shown to have relatively low starting salaries, casting a shadow over recent suggestions that the supply of this group be increased through lower fee regimes.Starting Salaries, Ability, Field of Study

α2 Integrin-Dependent Suppression of Pancreatic Adenocarcinoma Cell Invasion Involves Ectodomain Regulation of Kallikrein-Related Peptidase-5

Previous reports demonstrate that the α2-integrin (α2) mediates pancreatic ductal adenocarcinoma (PDAC) cell interactions with collagens. We found that while well-differentiated cells use α2 exclusively to adhere and migrate on collagenI, poorly differentiated PDAC cells demonstrate reduced reliance on, or complete loss of, α2. Since well-differentiated PDAC lines exhibit reduced in vitro invasion and α2-blockade suppressed invasion of well-differentiated lines exclusively, we hypothesized that α2 may suppress the malignant phenotype in PDAC. Accordingly, ectopic expression of α2 retarded in vitro invasion and maintenance on collagenI exacerbated this effect. Affymetrix profiling revealed that kallikrein-related peptidase-5 (KLK5) was specifically upregulated by α2, and reduced α2 and KLK5 expression was observed in poorly differentiated PDAC cells in situ. Accordingly, well-differentiated PDAC lines express KLK5, and KLK5 blockade increased the invasion of KLK5-positive lines. The α2-cytoplasmic domain was dispensable for these effects, demonstrating that the α2-ectodomain and KLK5 coordinately regulate a less invasive phenotype in PDAC

“Change is constant in today’s business for competitive advantage. Strategic leadership is vital for effective strategic change management - roles & responsibilities and strategic capability of strategic leadership.”

The aim of this paper is to seek to understand the reachange is constant in today’s business for competitive advantage. And to make the strategic change happen in order to achieve the desired outcome, what will be the right strategic process flow. What are the key challenges that will be encountered throughout the process of strategic change management? This paper will also learn whether strategic leadership is vital to make the strategic change happen in the effective way since many literatures are supporting this view and what will be their strategic roles and responsibilities. Besides, this research will also urge to learn whether everyone can be the strategic leader and what are the strategic capabilities of a strategic leader.This research is conducted in through the qualitative methodology via case study approach. Six (6)samplings were conducted from difference backgrounds of industries including a change agent of a Malaysia incorporated foreign companies. The qualification of the interviewees is important to ensure the quality and reliability of the data collection

Sleep During Pregnancy: The nuMoM2b Pregnancy and Sleep Duration and Continuity Study

Study Objectives: To characterize sleep duration, timing and continuity measures in pregnancy and their association with key demographic variables. Methods: Multisite prospective cohort study. Women enrolled in the nuMoM2b study (nulliparous women with a singleton gestation) were recruited at the second study visit (16-21 weeks of gestation) to participate in the Sleep Duration and Continuity substudy. Women <18 years of age or with pregestational diabetes or chronic hypertension were excluded from participation. Women wore a wrist activity monitor and completed a sleep log for 7 consecutive days. Time in bed, sleep duration, fragmentation index, sleep efficiency, wake after sleep onset, and sleep midpoint were averaged across valid primary sleep periods for each participant. Results: Valid data were available from 782 women with mean age of 27.3 (5.5) years. Median sleep duration was 7.4 hours. Approximately 27.9% of women had a sleep duration of 9 hours. In multivariable models including age, race/ethnicity, body mass index, insurance status, and recent smoking history, sleep duration was significantly associated with race/ethnicity and insurance status, while time in bed was only associated with insurance status. Sleep continuity measures and sleep midpoint were significantly associated with all covariates in the model, with the exception of age for fragmentation index and smoking for wake after sleep onset. Conclusions: Our results demonstrate the relationship between sleep and important demographic characteristics during pregnancy

Total laparo-endoscopic single site surgery hysterectomy for endometrial cancer: a single-centre retrospective review

Background: LESS surgery is a novel technique for benign gynaecological conditions. It has advantages of shorter operative stay, less post-operative pain, better cosmesis, and improved patient satisfaction. However, similar data is limited in endometrial cancer. This study aims to analyse the peri- and post-operative outcomes of LESS surgery for endometrial cancer. Methods: This was a retrospective, single-centre study. One gynae-oncologist trained in minimally invasive surgery performed 97 cases of LESS surgery for endometrial cancer at Singapore General Hospital, Singapore from January 2018 to December 2023. Results: 97 patients were recruited for this study. At the time of pre-operative staging, 72 women were Stage IA, and 22 IIB. All underwent total hysterectomy bilateral salpingo-oophorectomy, with 90 and three patients undergoing pelvic and para-aortic lymphadenectomy respectively. A median of 18 pelvic lymph nodes (IQR 13-21) were retrieved. The median operative time and operative blood loss was 165 minutes (IQR 130-196.25) and 100mls (IQR 50-150) respectively. The median hospitalization stay was 2 days (range 1-7). Two women were readmitted for ileus (POD20) and post-op fever secondary to urinary tract infection (POD14), both of which were managed conservatively. The median duration of follow up was 24.5 months. There was 1 reported case of recurrence. There were three deaths in this study. Conclusions: Women with early-stage endometrial cancer should be offered LESS surgery. It is a safe and effective surgical option for the management of endometrial carcinoma

Inferring genetic interactions via a nonlinear model and an optimization algorithm

<p>Abstract</p> <p>Background</p> <p>Biochemical pathways are gradually becoming recognized as central to complex human diseases and recently genetic/transcriptional interactions have been shown to be able to predict partial pathways. With the abundant information made available by microarray gene expression data (MGED), nonlinear modeling of these interactions is now feasible. Two of the latest advances in nonlinear modeling used sigmoid models to depict transcriptional interaction of a transcription factor (TF) for a target gene, but do not model cooperative or competitive interactions of several TFs for a target.</p> <p>Results</p> <p>An S-shape model and an optimization algorithm (GASA) were developed to infer genetic interactions/transcriptional regulation of several genes simultaneously using MGED. GASA consists of a genetic algorithm (GA) and a simulated annealing (SA) algorithm, which is enhanced by a steepest gradient descent algorithm to avoid being trapped in local minimum. Using simulated data with various degrees of noise, we studied how GASA with two model selection criteria and two search spaces performed. Furthermore, GASA was shown to outperform network component analysis, the time series network inference algorithm (TSNI), GA with regular GA (GAGA) and GA with regular SA. Two applications are demonstrated. First, GASA is applied to infer a subnetwork of human T-cell apoptosis. Several of the predicted interactions are supported by the literature. Second, GASA was applied to infer the transcriptional factors of 34 cell cycle regulated targets in <it>S. cerevisiae</it>, and GASA performed better than one of the latest advances in nonlinear modeling, GAGA and TSNI. Moreover, GASA is able to predict multiple transcription factors for certain targets, and these results coincide with experiments confirmed data in YEASTRACT.</p> <p>Conclusions</p> <p>GASA is shown to infer both genetic interactions and transcriptional regulatory interactions well. In particular, GASA seems able to characterize the nonlinear mechanism of transcriptional regulatory interactions (TIs) in yeast, and may be applied to infer TIs in other organisms. The predicted genetic interactions of a subnetwork of human T-cell apoptosis coincide with existing partial pathways, suggesting the potential of GASA on inferring biochemical pathways.</p

Modeling and comparing the organization of circular genomes

Motivation: Most prokaryotic genomes are circular with a single chromosome (called circular genomes), which consist of bacteria and archaea. Orthologous genes (abbreviated as orthologs) are genes directly evolved from an ancestor gene, and can be traced through different species in evolution. Shared orthologs between bacterial genomes have been used to measure their genome evolution. Here, organization of circular genomes is analyzed via distributions of shared orthologs between genomes. However, these distributions are often asymmetric and bimodal; to date, there is no joint distribution to model such data. This motivated us to develop a family of bivariate distributions with generalized von Mises marginals (BGVM) and its statistical inference

Unified in Our Diversity to Address Health Disparities Among Asian Americans, Native Hawaiians, and Pacific Islanders.

The COVID-19 pandemic disproportionately impacted Asian Americans, Native Hawaiians, and Pacific Islanders (AA/NHPIs) in the United States. AA/NHPIs have historically been subjected to discrimination, which was exacerbated by the pandemic. To bring attention to their unique concerns, an AA/NHPI Interest Group of the National Institutes of Health Community Engagement Alliance Against COVID-19 Disparities (CEAL) was formed. This article highlights major concerns raised by the Interest Group: The pervasive and arbitrary practice of data aggregation by public health agencies and health-related researchers, the lack of culturally responsive services in the context of cultural safety, and leadership underrepresentation