Entrepreneurship Assessment in Higher Education: A Research Review for Engineering Education Researchers

BackgroundDespite the wide adoption of entrepreneurship by United States engineering programs, there have been few advances in how to measure the influences of entrepreneurial education on engineering students. We believe the inadequate growth in engineering entrepreneurship assessment research is due to the limited use of research emerging from the broader entrepreneurship education assessment community.PurposeThis paper explores entrepreneurship education assessment by documenting the current state of the research and identifying the theories, variables, and research designs most commonly used by the broader community. We then examine if and how these theories and constructs are used in engineering entrepreneurship education.Scope/MethodTwo literature databases, Scopus® and Proquest, were searched systematically for entrepreneurship education assessment research literature. This search yielded 2,841 unique papers. Once inclusion and exclusion criteria were applied, 359 empirical research papers were coded for study design, theory, variables measured, instruments, and validity and reliability.ConclusionsWhile there has been growth in entrepreneurship education assessment research, little exchange of ideas across the disciplines of business, engineering, and education is occurring. Nonempirical descriptions of programs outweigh empirical research, and these empirical studies focus on affective, rather than cognitive or behavioral, outcomes. This pattern within the larger entrepreneurship community is mirrored in engineering where the use of theoryâ based, validated entrepreneurship education assessment instruments generally focuses on the context of intent to start a new company. Given the engineering community’s goals to support engineering entrepreneurship beyond business creation, the engineering education community should consider developing assessment instruments based in theory and focused on engineeringâ specific entrepreneurship outcomes.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/145556/1/jee20197.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/145556/2/jee20197_am.pd

Validation of computerized diagnostic information in a clinical database from a national equine clinic network

BACKGROUND: Computerized diagnostic information offers potential for epidemiological research; however data accuracy must be addressed. The principal aim of this study was to evaluate the completeness and correctness of diagnostic information in a computerized equine clinical database compared to corresponding hand written veterinary clinical records, used as gold standard, and to assess factors related to correctness. Further, the aim was to investigate completeness (epidemiologic sensitivity), correctness (positive predictive value), specificity and prevalence for diagnoses for four body systems and correctness for affected limb information for four joint diseases. METHODS: A random sample of 450 visits over the year 2002 (nvisits=49,591) was taken from 18 nation wide clinics headed under one company. Computerized information for the visits selected and copies of the corresponding veterinary clinical records were retrieved. Completeness and correctness were determined using semi-subjective criteria. Logistic regression was used to examine factors associated with correctness for diagnosis. RESULTS: Three hundred and ninety six visits had veterinary clinical notes that were retrievable. The overall completeness and correctness were 91% and 92%, respectively; both values considered high. Descriptive analyses showed significantly higher degree of correctness for first visits compared to follow up visits and for cases with a diagnostic code recorded in the veterinary records compared to those with no code noted. The correctness was similar regardless of usage category (leisure/sport horse, racing trotter and racing thoroughbred) or gender.For the four body systems selected (joints, skin and hooves, respiratory, skeletal) the completeness varied between 71% (respiration) and 91% (joints) and the correctness ranged from 87% (skin and hooves) to 96% (respiration), whereas the specificity was >95% for all systems. Logistic regression showed that correctness was associated with type of visit, whether an explicit diagnostic code was present in the veterinary clinical record, and body system. Correctness for information on affected limb was 95% and varied with joint. CONCLUSION: Based on the overall high level of correctness and completeness the database was considered useful for research purposes. For the body systems investigated the highest level of completeness and correctness was seen for joints and respiration, respectively

The Impact of Entrepreneurship Education in Higher Education: A Systematic Review and Research Agenda

Using a teaching model framework, we systematically review empirical evidence on the impact of entrepreneurship education (EE) in higher education on a range of entrepreneurial outcomes, analyzing 159 published articles from 2004 to 2016. The teaching model framework allows us for the first time to start rigorously examining relationships between pedagogical methods and specific outcomes. Reconfirming past reviews and meta-analyses, we find that EE impact research still predominantly focuses on short-term and subjective outcome measures and tends to severely underdescribe the actual pedagogies being tested. Moreover, we use our review to provide an up-to-date and empirically rooted call for less obvious, yet greatly promising, new or underemphasized directions for future research on the impact of university-based entrepreneurship education. This includes, for example, the use of novel impact indicators related to emotion and mind-set, focus on the impact indicators related to the intention-to-behavior transition, and exploring the reasons for some contradictory findings in impact studies including person-, context-, and pedagogical model-specific moderator

302 Diagnostic Evidence Gauge of Spatial Transcriptomics (DEGAS-ST): Using transfer learning to map clinical data to spatial transcriptomics in prostate cancer

OBJECTIVES/GOALS: The 'field effect' is a concept in pathology that pre-malignant tissue changes forecast health. Spatial transcriptomics could detect these changes earlier than histopathology, suggesting new early cancer screening methods. Knowing how normal tissue damage relates to cancer’s origin and progression may improve long-term outcomes. METHODS/STUDY POPULATION: We trained DEGAS, our machine learning framework, with prostate cancer data, combining both general cancer patterns and in-depth genetic information from individual tumors. The Tumor Cancer Genome Atlas (TCGA) shows how gene patterns in tumors relate to patient outcomes, emphasizing the differences between tumors from different patients (intertumor). On the other hand, spatial transcriptomics (ST) shows the genetic variety within a single tumor (intratumor) but has limited samples, making it hard to know which genetic differences are important for treatment. DEGAS bridges these areas by finding tissue sections that resemble those in TCGA profiles and are key indicators of patient survival. DEGAS serves as a valuable tool for generating clinically-important hypotheses. RESULTS/ANTICIPATED RESULTS: DEGAS identified benign-appearing glands in a normal prostate as being highly associated with poor progression-free survival. These glands have transcriptional signatures similar to high-grade prostate cancer. We confirmed this finding in a separate prostate cancer ST dataset. By integrating single cell (SC) data we demonstrated that cells annotated as cancerous in the SC data map to regions of benign glands in the ST dataset. We pinpoint several genes, chiefly Microseminoprotein-β (MSMB, PSP94), where reduced expression is highly correlated with poor progression-free survival. Cell type specific differential expression analysis further revealed that loss of MSMB expression associated with poor outcomes occurs specifically in luminal epithelia, the putative progenitor of prostate cancer. DISCUSSION/SIGNIFICANCE: DEGAS reveals that normal-appearing tissue can be highly-associated with tumor progression and underscores the importance of the 'field effect' in cancer research. Traditional analysis may miss such nuance, hiding key transitional cell states. Validating gene markers could boost early cancer detection and understanding of metastasis

Relationship between IkappaBalpha deficiency, NFkappaB activity and interleukin-8 production in CF human airway epithelial cells.

Several recent reports have suggested that airway inflammation may precede infection and relate to an endogenous dysregulation of pro-inflammatory cytokines in cystic fibrosis (CF) airways. Evidence suggests that activation of the nuclear factor kappa B (NFkappaB), which regulates the inflammatory gene transcription, depends on the degradation of the inhibitory factor IkappaBalpha. We show that, in in situ human DeltaF508 CF bronchial tissues, inhibitor factor IkappaBalpha is not present in gland cells, although endogenous levels of chemokine IL-8 are high. These data are confirmed by studying cultured CF human bronchial gland cells, in which a lack of cytosolic IkappaBalpha and high levels of activated NFkappaB, concomitant with IL-8 overproduction (a 13-fold increase) are found when compared to non-CF bronchial gland cells. Interestingly, treatment of CF gland cells with the isoflavone genistein, a well known CFTR mutant Cl(-) channel stimulator, results in a significant decrease ( P < 0.001) in IL-8 production down to levels released by non-CF gland cells. The addition of genistein also reverses the effects of lipopolysaccharide (LPS) Pseudomonas-aeruginosa-induced nuclear translocation of NFkappaB by increasing IkappaBalpha protein level (65%) in CF gland cells. Our data indicate that the induction of IkappaBalpha protein in CF airway glandular epithelial cells may be a novel mechanism by which IL-8-mediated lung inflammatory events are markedly reduced in CF patients, at least at the airway glandular level

Is bilateral internal thoracic artery grafting a safe option for chronic dialysis patients?

Background The use of bilateral internal thoracic artery (BITA) grafting has been proposed for dialysis patients with multivessel coronary artery disease, primarily because of hypothetical long-term survival benefits. Aims To investigate the outcome of BITA grafting in dialysis patients. Methods This was a retrospective analysis of the use of BITA grafting in 105 consecutive patients with end-stage renal failure on chronic dialysis in three European centres with extensive experience in BITA. Baseline patient characteristics, operative data, early postoperative complications and late survival were reviewed. Outcomes of patients from one of the three centres who underwent either BITA (n = 40) or single internal thoracic artery (SITA) grafting (n = 19) were also analysed; a one-to-one propensity score (PS)-matched analysis was performed. Results There were 19 (18.1%) hospital deaths. Despite differences in preoperative patient characteristics and surgical features, in each centre, hospital mortality was greater than the 75th percentile of expected operative risk (EuroSCORE II). Diseased ascending aorta and extracardiac arteriopathy were found to be predictors of hospital death (odds ratio 9.7; P = 0.006) and complicated hospital course (odds ratio 2.54; P = 0.035), respectively. The 7-year non-parametric estimates of freedom from all-cause death and cardiac or cerebrovascular death were 59% (95% confidence interval: 52.3–65.7%) and 75.6% (95% confidence interval: 71.2–80%), respectively. There were no significant differences in early and late outcomes between BITA and SITA PS-matched groups. Conclusions BITA grafting remains a risky operation for chronic dialysis patients, even when performed routinely. No long-term survival benefits for the use of BITA versus SITA were proven

The antegrade reperfusion test avoids the risk of mitral regurgitation recurrence optimizing valve repair

Saline injection into the left ventricle trough mitral valve (saline test) is the most commonly used intraoperative assessment method in mitral valve repair. However, potential discrepancies between the saline test findings and intraoperative transesophageal echocardiography results after the weaning of cardiopulmonary by-pass, remain significant. Here, we describe a new antegrade reperfusion test, reproducing intraoperatively, the physiologic conditions of loaded and beating heart for direct transatrial evaluation of valve tightness. The proposed test is performed by perfusing warm oxygenated blood into the aortic root under cross-clamping. From February 2016 to December 2018, 91 patients (mean age: 63 ± 11 years) underwent mitral valve repair for mitral regurgitation. In all of them, the classic saline test was completed with the newly proposed antegrade test. We report our results with this combined approach. Data were obtained from the medical records and our mitral valve repair database. In 32 (35.1%) patients, evident or undetectable minor regurgitation at the saline test were respectively unconfirmed or detected by the antegrade reperfusion test leading to their complete correction. In only three patients (3.2%) major discrepancies was present between the intraoperative evaluation and the post-pump transesophageal echocardiography. Two of them (2.1%) required a second cardiopulmonary bypass run to fix the residual regurgitation. The antegrade reperfusion test is a simple dynamic intraoperative approach mimicking the physiological conditions of ventricular systole for mitral valve repair evaluation. Combined with the classic saline test, it seems to be a valuable additional intraoperative tool, enabling a more predictable repair result

Spatial Transcriptomic Analysis Reveals Associations between Genes and Cellular Topology in Breast and Prostate Cancers

Background: Cancer is the leading cause of death worldwide with breast and prostate cancer the most common among women and men, respectively. Gene expression and image features are independently prognostic of patient survival; but until the advent of spatial transcriptomics (ST), it was not possible to determine how gene expression of cells was tied to their spatial relationships (i.e., topology). Methods: We identify topology-associated genes (TAGs) that correlate with 700 image topological features (ITFs) in breast and prostate cancer ST samples. Genes and image topological features are independently clustered and correlated with each other. Themes among genes correlated with ITFs are investigated by functional enrichment analysis. Results: Overall, topology-associated genes (TAG) corresponding to extracellular matrix (ECM) and Collagen Type I Trimer gene ontology terms are common to both prostate and breast cancer. In breast cancer specifically, we identify the ZAG-PIP Complex as a TAG. In prostate cancer, we identify distinct TAGs that are enriched for GI dysmotility and the IgA immunoglobulin complex. We identified TAGs in every ST slide regardless of cancer type. Conclusions: These TAGs are enriched for ontology terms, illustrating the biological relevance to our image topology features and their potential utility in diagnostic and prognostic models