Preventing online shopping for completed assessments: Protecting students by blocking access to contract cheating websites on institutional networks

Contract cheating or “the outsourcing of student work to third parties” (Lancaster & Clarke, 2016, p. 639) is a type of academic misconduct that is growing and changing due to advancements in technology and the emergence of a lucrative, multi-million dollar per year industry that targets students relentlessly (Lancaster & Clarke, 2016). In an effort to protect students from engaging in contract cheating, three postsecondary institutions in Manitoba (i.e., Assiniboine Community College, Red River College, and the University of Manitoba) launched initiatives to block access to websites that offer contract cheating services from their networks. This initiative facilitated a preliminary examination of student activity on institutional networks. In any given month, a relatively large number of students (i.e., up to 3,519 unique users) were attempting to access websites identified as providing contract cheating services. We recognize that a single initiative will not eliminate academic misconduct, however, by combining various educational, protective, and preventative strategies, the likelihood that students will make ethical decisions regarding their academic work can be increased

Academic Integrity Policy Analysis of Alberta and Manitoba Colleges

Dealing with matters related to academic integrity and academic misconduct can be challenging in higher education. As a result, students, educators, administrators, and other higher education professionals look to policy and procedures to help guide them through these complex situations. Policies are often representative of an institution’s culture of academic integrity. For these and other reasons it is therefore important that policies and procedures are reviewed regularly and updated to ensure that they align with current educational expectations and societal context. In this presentation, we share the results from our policy analysis of 16 colleges in the Canadian western provinces of Alberta and Manitoba. Data extraction and analyses were performed using a tool developed based on Bretag et al.’s five core elements of exemplary academic integrity policy. Our results showed inconsistencies in college polices in terms of the intended audience for the documents (e.g., students, faculty, administrators), varying levels of detail, inconsistent definitions, or categories of misconduct (e.g., plagiarism, cheating) and little mention of contract cheating. We compare the results of this study with previous academic integrity policy research in Canada for colleges in Ontario (Stoesz et al., 2019), as well as universities (Miron et al., 2021; Stoesz & Eaton, 2022). We also discuss the recent increase in the use of artificial intelligence tools such as ChatGPT and GPT-3 and what this could mean in the context of academic integrity policy. We conclude with recommendations for policy reform in the Canadian college context. Our findings may be useful to those working in community colleges and polytechnics elsewhere

Evidence for treatment with estradiol for women with SARS-CoV-2 infection

Background: Given that an individual’s age and gender are strongly predictive of coronavirus disease 2019 (COVID-19) outcomes, do such factors imply anything about preferable therapeutic options? Methods: An analysis of electronic health records for a large (68,466-case), international COVID-19 cohort, in 5-year age strata, revealed age-dependent sex differences. In particular, we surveyed the effects of systemic hormone administration in women. The primary outcome for estradiol therapy was death. Odds ratios (ORs) and Kaplan-Meier survival curves were analyzed for 37,086 COVID-19 women in two age groups: pre- (15–49 years) and peri-/post-menopausal (> 50 years). Results: The incidence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is higher in women than men (by about + 15%) and, in contrast, the fatality rate is higher in men (about + 50%). Interestingly, the relationships between these quantities are linked to age: pre-adolescent girls and boys had the same risk of infection and fatality rate, while adult premenopausal women had a significantly higher risk of infection than men in the same 5-year age stratum (about 16,000 vs. 12,000 cases). This ratio changed again in peri- and postmenopausal women, with infection susceptibility converging with men. While fatality rates increased continuously with age for both sexes, at 50 years, there was a steeper increase for men. Thus far, these types of intricacies have been largely neglected. Because the hormone 17ß-estradiol influences expression of the human angiotensin-converting enzyme 2 (ACE2) protein, which plays a role in SARS-CoV-2 cellular entry, propensity score matching was performed for the women’s sub-cohort, comparing users vs. non-users of estradiol. This retrospective study of hormone therapy in female COVID-19 patients shows that the fatality risk for women > 50 years receiving estradiol therapy (user group) is reduced by more than 50%; the OR was 0.33, 95% CI [0.18, 0.62] and the hazard ratio (HR) was 0.29, 95% CI [0.11,0.76]. For younger, pre-menopausal women (15–49 years), the risk of COVID-19 fatality is the same irrespective of estradiol treatment, probably because of higher endogenous estradiol levels. Conclusions: As of this writing, still no effective drug treatment is available for COVID-19; since estradiol shows such a strong improvement regarding fatality in COVID-19, we suggest prospective studies on the potentially more broadly protective roles of this naturally occurring hormone

Creating a Collaborative Network to Promote Cultures of Academic Integrity in Manitoba’s Post-Secondary Institutions

In this article, we, as representatives from several post-secondary institutions across Manitoba and British Columbia, describe how sharing knowledge and experiences across institutions has informed and enhanced academic integrity initiatives at our respective institutions. We outline how participation in provincial, national, and international teaching and learning events as a collective has informed our work in academic integrity and led to the emergence of the Manitoba Academic Integrity Network (MAIN) in May 2019. We discuss the benefits of collaborating within a provincial network and next steps for expanding the reach of the network across institutions by engaging faculty, staff, and students

Empirical Comparison of Distributed Source Localization Methods for Single-Trial Detection of Movement Preparation

The development of technologies for the treatment of movement disorders, like stroke, is still of particular interest in brain-computer interface (BCI) research. In this context, source localization methods (SLMs), that reconstruct the cerebral origin of brain activity measured outside the head, e.g., via electroencephalography (EEG), can add a valuable insight into the current state and progress of the treatment. However, in BCIs SLMs were often solely considered as advanced signal processing methods that are compared against other methods based on the classification performance alone. Though, this approach does not guarantee physiological meaningful results. We present an empirical comparison of three established distributed SLMs with the aim to use one for single-trial movement prediction. The SLMs wMNE, sLORETA, and dSPM were applied on data acquired from eight subjects performing voluntary arm movements. Besides the classification performance as quality measure, a distance metric was used to asses the physiological plausibility of the methods. For the distance metric, which is usually measured to the source position of maximum activity, we further propose a variant based on clusters that is better suited for the single-trial case in which several sources are likely and the actual maximum is unknown. The two metrics showed different results. The classification performance revealed no significant differences across subjects, indicating that all three methods are equally well-suited for single-trial movement prediction. On the other hand, we obtained significant differences in the distance measure, favoring wMNE even after correcting the distance with the number of reconstructed clusters. Further, distance results were inconsistent with the traditional method using the maximum, indicating that for wMNE the point of maximum source activity often did not coincide with the nearest activation cluster. In summary, the presented comparison might help users to select an appropriate SLM and to understand the implications of the selection. The proposed methodology pays attention to the particular properties of distributed SLMs and can serve as a framework for further comparisons

CheS-Mapper - Chemical Space Mapping and Visualization in 3D

Analyzing chemical datasets is a challenging task for scientific researchers in the field of chemoinformatics. It is important, yet difficult to understand the relationship between the structure of chemical compounds, their physico-chemical properties, and biological or toxic effects. To that respect, visualization tools can help to better comprehend the underlying correlations. Our recently developed 3D molecular viewer CheS-Mapper (Chemical Space Mapper) divides large datasets into clusters of similar compounds and consequently arranges them in 3D space, such that their spatial proximity reflects their similarity. The user can indirectly determine similarity, by selecting which features to employ in the process. The tool can use and calculate different kind of features, like structural fragments as well as quantitative chemical descriptors. These features can be highlighted within CheS-Mapper, which aids the chemist to better understand patterns and regularities and relate the observations to established scientific knowledge. As a final function, the tool can also be used to select and export specific subsets of a given dataset for further analysis

Rapid quantification of myocardial fibrosis: a new macro-based automated analysis

Background: Fibrosis is associated with various cardiac pathologies and dysfunction. Current quantification methods are time-consuming and laborious. We describe a semi-automated quantification technique for myocardial fibrosis and validated this using traditional methods

Pharmacogenetic Associations of MMP9 and MMP12 Variants with Cardiovascular Disease in Patients with Hypertension

MMP-9 and -12 function in tissue remodeling and may play roles in cardiovascular disease (CVD). We assessed associations of four MMP polymorphisms and three antihypertensive drugs with cardiovascular outcomes.Hypertensives (n = 42,418) from a double-blind, randomized, clinical trial were randomized to chlorthalidone, amlodipine, lisinopril, or doxazosin treatment (mean follow up, 4.9 years). The primary outcome was coronary heart disease (CHD). Secondary outcomes included combined CHD, all CVD outcomes combined, stroke, heart failure (HF), and mortality. Genotype-treatment interactions were tested. = 0.015). for CHD and composite CVD. The data suggest that these genes may provide useful clinical information with respect to treatment decisions