Saint Mary's University

Artificial intelligence (AI) chatbots, such as Chat Generative Pre‐trained Transformer (ChatGPT), may threaten the validity of selection processes. This study provides the first examination of how AI cheating in the asynchronous video interview (AVI) may impact interview performance and applicant reactions. In a preregistered experiment, Prolific respondents ( N = 245) completed an AVI after being randomly assigned to a non‐ChatGPT, ChatGPT‐Verbatim (read AI‐generated responses word‐for‐word), or ChatGPT‐Personalized condition (provided their résumé/contextual instructions to ChatGPT and modified the AI‐generated responses). The ChatGPT conditions received considerably higher scores on overall performance and content than the non‐ChatGPT condition. However, response delivery ratings did not differ between conditions and the ChatGPT conditions received lower honesty ratings. Both ChatGPT conditions rated the AVI as lower on procedural justice than the non‐ChatGPT condition.

Gold nanorods (AuNRs) have attracted significant attention over the past several decades for a variety of applications and there has been steady progress with regards to their synthesis and modification. Despite these advances, the assembly of AuNRs into well‐organized hierarchical assemblies remains a formidable challenge. Specifically, there is a need for tools that can fabricate assemblies of nanorods over large length scales at low cost with the potential for high‐throughput manufacturing. Langmuir‐Blodgettry is a monolayer deposition technique which has been primarily applied to amphiphilic molecules, but which has recently shown promise for the ordering of functionalized nanoparticles residing at the air‐water interface. In this work, Langmuir‐Blodgett deposition is explored for the formation of AuNR arrays for enhanced surface‐enhanced Raman spectroscopy (SERS) sensing. In particular, both surface modification of the AuNRs as well as subphase modification with cysteamine were evaluated for AuNR array fabrication.

Due to the competitive nature of the construction industry, the efficiency of requirement analysis is important in enhancing client satisfaction and a company’s reputation. For example, determining the optimal configuration of panels (generally called panelization) that form the structure of a building is one aspect of cost estimation. However, existing methods typically rely on rule-based approaches that may lead to suboptimal material usage, particularly in complex designs featuring angled walls and openings. Such inefficiency can increase costs and environmental impact due to unnecessary material waste. To address these challenges, this research proposes a Panelization Algorithm for Architectural Designs, referred to as PAAD, which utilizes a genetic evolutionary strategy built on the 2D bin packing problem. This method is designed to balance between strict adherence to manufacturing constraints and the objective of optimizing material usage. PAAD starts with multiple potential solutions within the predefined problem space, facilitating dynamic exploration of panel configurations. It approaches structural rules as flexible constraints, making necessary corrections in post-processing, and through iterative developments, the algorithm refines panel sets to minimize material use. The methodology is validated through an analysis against an industry implementation and expert-derived solutions, highlighting PAAD’s ability to surpass existing results and reduce the need for manual corrections. Additionally, to motivate future research, a synthetic data generator, the architectural drawing encodings used, and a preliminary interface are also introduced. This not only highlights the algorithm’s practical applicability but also encourages its use in real-world scenarios.

In 2011, the New Brunswick government released the New Brunswick Mental Health Action Plan 2011–2018 (Action Plan). Following the release of the Action Plan in 2011, two progress reports were released in 2013 and 2015, highlighting the implementation status of the Action Plan. While vague in their language, these reports indicated considerable progress in implementing the Action Plan, as various initiatives were undertaken to raise awareness and provide additional resources to facilitate early prevention and intervention in children and youth. However, whether these initiatives have yielded measurable improvements in population-level mental health outcomes in children and youth remains unclear. The current study explored the impact of the Action Plan by visualizing the trend in psychosocial outcomes and service utilization of vulnerable populations in New Brunswick before and after the implementation of the Action Plan using multiple datasets from the Canadian Community Health Survey. Survey-weighted ordinary least square regression analyses were performed to investigate measurable improvements in available mental health outcomes. The result revealed a declining trend in the mental wellness of vulnerable youth despite them consistently reporting higher frequencies of mental health service use. This study highlights the need for a concerted effort in providing effective mental health services to New Brunswick youth and, more broadly, Canadian youth, as well as ensuring rigorous routine outcome monitoring and evaluation plans are consistently implemented for future mental health strategies at the time of their initiation.

Dating relationships during adolescence is a complex interaction that involves multiple systems however, the systemic factors promoting the development of healthy dating relationships in adolescence are not well understood. The current study aims to address this gap by reviewing studies that assessed factors contributing to healthy adolescent dating relationship skills, competencies, and capacities. Through a social ecological perspective, healthy dating relationship factors were identified across five levels of adolescents’ environments (e.g., individual, peer, family, school, and online) to inform intervention strategies for the promotion of healthy dating relationships. After an iterative screening process, 51 peer-reviewed empirical articles were identified across a search strategy from 2008 to 2018. Amongst the 51 articles, 76 key healthy dating relationship factors were identified across the five social ecological levels: individual (n = 34), family (n = 16), peer (n = 13), school (n = 9), and online (n = 4). While several healthy dating relationship factors identified in school-based relationship education interventions (school level) overlapped with individual and peer level factors (e.g., communication, listening), the review highlighted two social ecological levels of family and online that can further benefit the efficacy and comprehensiveness of school-based relationship education interventions.

The role of lncRNA and circRNA in wheat grain development is still unclear. The objectives of this study were to characterize the lncRNA and circRNA in the wheat grain development and to construct the interaction network among lncRNA, circRNA, and their target miRNA to propose a lncRNA–circRNA–miRNA module related to wheat grain development. Full transcriptome sequencing on two wheat varieties (Annong 0942 and Anke 2005) with significant differences in 1000-grain weight at 10 d (days after pollination), 20 d, and 30 d of grain development were conducted. We detected 650, 736, and 609 differentially expressed lncRNA genes, and 769, 1054, and 1062 differentially expressed circRNA genes in the grains of 10 days, 20 days and 30 days after pollination between Annong 0942 and Anke 2005, respectively. An analysis of the lncRNA–miRNA and circRNA–miRNA targeting networks reveals that circRNAs exhibit a more complex and extensive interaction network in the development of cereal grains and the formation of grain shape. Central to these interactions are tae-miR1177, tae-miR1128, and tae-miR1130b-3p. In contrast, lncRNA genes only form a singular network centered around tae-miR1133 and tae-miR5175-5p when comparing between varieties. Further analysis is conducted on the underlying genes of all target miRNAs, we identified TaNF-YB1 targeted by tae-miR1122a and TaTGW-7B targeted by miR1130a as two pivotal regulatory genes in the development of wheat grains. The quantitative real-time PCR (qRT-PCR) and dual-luciferase reporter assays confirmed the target regulatory relationships between miR1130a-TaTGW-7B and miR1122a-TaNF-YB1. We propose a network of circRNA and miRNA-mediated gene regulation in the development of wheat grains.

“What might motherhood and Europe have to do with one another?” is a question posed by Lisa Baraitser in the Foreword to the collection, Motherhood in Literature and Culture: Interdisciplinary Perspectives from Europe . The question is certainly pertinent at a time when the very concept of Europe as a geopolitical space and an imaginary construct is being interrogated and critiqued from both within and without the carefully policed borders of the European Union project. It is also pertinent given the increased amount of scholarship on the maternal produced by scholars occupying various transnational locations and positionalities, working to deconstruct unitary and essentialist ideas about mothers and motherhood. The possibility of identifying a specifically European maternal theoretical and lived space thus invites us to carefully theorize the diversity of European contexts, a diversity that is often occluded or elided by easy references to Eurocentric bias in feminist research, as well as the dis/continuities between European-based and Anglo-American feminist scholarship on the maternal. And yet, precisely because the work of mothering always unfolds within specific micro and macro geographic, social, cultural, and ideological spaces, the question merits closer attention. In this essay I consider the cluster of three books delineating the contours of an Italian, as well as a more broadly conceptualized European, philosophy of the maternal in light of these evolving academic and experiential realities.

This article examined the impact of the COVID-19 pandemic on low-income city dwellers in Bangladesh. Methods considered a content analysis to investigate the urban poor’s ability to navigate the challenges brought by the pandemic. The study employed 286 news articles from national newspapers, spanning 17 March 2020 to 31 December 2020, collected via online portals and analysed using QSR NVivo 12. The content analysis revealed significant and comprehensive themes, including affected sectors, impacted demographics, shocks, stresses across different fields, and coping strategies. The study reflected on how the nationwide lockdown initially jolted the country and subsequently affected sectors, notably the ready-made garments (RMG), small and medium enterprises (SME), and informal sectors. The broader social and economic repercussions, such as income decline, food insecurity, limited access to healthcare and education, and exacerbation of existing inequalities, begged further investigation. This exploration could provide a more comprehensive understanding of the challenges faced by the urban poor during the pandemic. This article highlighted the role of media in raising the voices of low-income individuals during the pandemic, advocating for legislative changes and community support. To enhance future pandemic management, it would be imperative to prioritise accurate reporting by the media, utilise technology for outreach, and foster collaboration with governments and public health organisations.

A series of EP(V)-imine phosphine-imine ligands (Dipp-NC(CH3)-(CH2)-PE(Ph2)) (Dipp = 2,6-diisopropylphenyl, E = O, S, Se) and corresponding dimethyl aluminum and indium complexes were prepared and characterized using multi-nuclear NMR spectroscopy and SC-XRD. Solution-state 1H and 31P NMR spectroscopy indicate a mixture of isomers in solution (C6D6, CDCl3, and CD3CN). Solid state structures of both the imine and (E)-enamine isomers of the oxygen-based ligand have been observed. These three ligands (L) were then deprotonated with M(CH3)3 (M = Al or In), with methane loss forming a 6-membered ring via bidentate chelation ((κ2-L)M(CH3)2). The indium/oxide complex also crystallized as a 12-membered ring.

Complex mixtures which may contain hundreds, if not thousands, of unique compounds pose an analytical challenge for complete and detailed analyses. For example, green tea is a well-known complex substance requiring advanced separation techniques and ultrasensitive detection methods for full characterization. Separation and identification of components in green tea help gauge tea quality, as green tea is one of the most consumed beverages in the world. In this work, the coupling of two-dimensional liquid chromatography (2D-LC) and electrochemical surface-enhanced Raman spectroscopy (EC-SERS) was explored for the first time to analyze compounds in green tea. 2D-LC offers enhanced separation compared to conventional HPLC systems due to the second dimension of separation. EC-SERS was used as an offline detection modality and qualitative tool to help identify the compounds in green tea fractions collected from the second dimension separation. 2D-LC and EC-SERS are coupled in this work for the first time and offer a pathway forward for sensitive and selective separation and identification of components in complex mixtures.

Background: Cannabis use and misuse is known to be associated with a variety of negative health, academic, and work-related outcomes; therefore, it is important to study the factors that contribute to or moderate its use. Objectives: The aim of this study was to determine whether risky behavior, belongingness and social support as clustering variables play a role in cannabis use frequency. Method: In a university student sample, participant data on risky behavior, belongingness and social support were used to generate vulnerability profiles through cluster analysis (low vulnerability with low risk, low vulnerability with high belonging, moderate vulnerability, and high vulnerability). Using an analysis of variance, the vulnerability profiles were compared with respect to cannabis use frequency and quantity. Through chi-square tests we assessed whether these profiles are overrepresented in certain demographics. Results: The cluster analysis yielded four groups, which differed in their vulnerability for cannabis use. The most vulnerable cluster group had higher cannabis use frequency relative to the two least vulnerable groups. Low income vs. high income was also associated with high vulnerability group membership. International students were overrepresented in the low vulnerability with high belonging group relative to the low vulnerability with low-risk group. The opposite was observed for domestic students. Conclusions: This research adds to the expanding body of literature on cannabis use and misuse in Canada, which may contribute to public health policy and the prevention and treatment of cannabis addiction by providing new insight on who may be at risk.

This study investigates the valuation of fair values in extreme market conditions. Using a modified Ohlson model and a large US sample, this study finds that the valuation of fair values in extreme market conditions is consistent with the presence of a positive feedback loop bias. This bias manifests as irrational exuberance in overheated markets and undue panic in depressed markets. The results are robust under several different test designs. Additional tests of moderating factors show that good performance and low risk intensify irrational exuberance in overhead markets, and poor performance and high risk worsen undue panic in depressed markets.

This paper examines anti-Black racism in the Ontario public school system. Using the West-Hill Catholic Elementary School (a pseudonym) as a case study, it foregrounds the selective application of punishments inflicted upon Black students, including those often motivated by racist perceptions on the part of teachers, principals, and School Boards. Using the theories of biological determinism ¹ and the culture of poverty ² as conceptual frameworks, this paper investigates the factors to which school authorities attribute violent behavior on the part of Black students. This paper provides recommendations aimed at mitigating anti-Black racism in the Ontario public school system.

Aims To compare the species diversity and composition of indigenous yeast communities of hybrid grapes from conventionally and organically cultivated vineyards of an emerging cool-climate wine producing region. Methods and Results Illumina MiSeq sequences from L'Acadie blanc grape musts were processed and filtered to characterize indigenous yeast communities in organic and conventional vineyards of the Annapolis Valley wine region in Nova Scotia, Canada. While cultivation practice was not associated with yeast diversity or species richness, there was a strong effect on yeast community composition, with conventional vineyards characterized by higher proportions of Sporidiobolales and Filobasidium magnum, and organic vineyards supporting Filobasidium species other than F. magnum and higher proportions of Symmetrospora. There was also variation in yeast community composition among individual vineyards, and from year to year. Conclusions This is the first comprehensive assessment of yeasts associated with hybrid grapes grown using different cultivation practices in a North American cool climate wine region. Communities were dominated by basidiomycete yeasts and species composition of these yeasts differed significantly between vineyards employing organic and conventional cultivation practices. The role of basidiomycete yeasts in winemaking is not well understood, but some species may influence wine characteristics.

Stigma-related stressors are central to understanding psychopathology, distress, and coping in stigmatized groups; individuals who experience attractions to children are a highly stigmatized group. Currently, few validated self-report measures exist to assess stigma-related stressors in minor attracted people (MAPs) and the current research describes the development and initial validation of two measures of internalized stigma and experiences of discrimination. A sample of MAPs (n = 289; mean age = 31.8 years, SD = 12.2) was recruited online and completed a set of self-report measures assessing stigma-related stress, negative mental health outcomes, substance use, and coping. Exploratory factor analyses of the two newly developed stigma-related stress measures were conducted and convergent associations with other constructs were examined for validity evidence. Exploratory factor analyses indicated a two-factor solution to both the measure of internalized stigma and experiences of discrimination. The total scale scores and factors scores generally demonstrated the anticipated patterns of correlations with mental health concerns, distress, coping, and substance use. Clinical intervention with MAPs may benefit from an exploration of stigma-related stressors in clients’ lives to improve mental health outcomes. The relatively large sample that was recruited from multiple online forums is a strength of the current study. The use of a self-report measurement modality for all measures used in the study weakens that strength of the validation evidence presented here. These results provide initial validity evidence for the measures of stigma-related stress in MAPs and the promise of stigma processes in understanding negative outcomes in this population.

Background The use of social media for disseminating health care information has become increasingly prevalent, making the expanding role of artificial intelligence (AI) and machine learning in this process both significant and inevitable. This development raises numerous ethical concerns. This study explored the ethical use of AI and machine learning in the context of health care information on social media platforms (SMPs). It critically examined these technologies from the perspectives of fairness, accountability, transparency, and ethics (FATE), emphasizing computational and methodological approaches that ensure their responsible application. Objective This study aims to identify, compare, and synthesize existing solutions that address the components of FATE in AI applications in health care on SMPs. Through an in-depth exploration of computational methods, approaches, and evaluation metrics used in various initiatives, we sought to elucidate the current state of the art and identify existing gaps. Furthermore, we assessed the strength of the evidence supporting each identified solution and discussed the implications of our findings for future research and practice. In doing so, we made a unique contribution to the field by highlighting areas that require further exploration and innovation. Methods Our research methodology involved a comprehensive literature search across PubMed, Web of Science, and Google Scholar. We used strategic searches through specific filters to identify relevant research papers published since 2012 focusing on the intersection and union of different literature sets. The inclusion criteria were centered on studies that primarily addressed FATE in health care discussions on SMPs; those presenting empirical results; and those covering definitions, computational methods, approaches, and evaluation metrics. Results Our findings present a nuanced breakdown of the FATE principles, aligning them where applicable with the American Medical Informatics Association ethical guidelines. By dividing these principles into dedicated sections, we detailed specific computational methods and conceptual approaches tailored to enforcing FATE in AI-driven health care on SMPs. This segmentation facilitated a deeper understanding of the intricate relationship among the FATE principles and highlighted the practical challenges encountered in their application. It underscored the pioneering contributions of our study to the discourse on ethical AI in health care on SMPs, emphasizing the complex interplay and the limitations faced in implementing these principles effectively. Conclusions Despite the existence of diverse approaches and metrics to address FATE issues in AI for health care on SMPs, challenges persist. The application of these approaches often intersects with additional ethical considerations, occasionally leading to conflicts. Our review highlights the lack of a unified, comprehensive solution for fully and effectively integrating FATE principles in this domain. This gap necessitates careful consideration of the ethical trade-offs involved in deploying existing methods and underscores the need for ongoing research.

Development of blockchain smart contracts is more difficult than mainstream software development because the underlying blockchain infrastructure poses additional complexity. To ease the developer's task of writing smart contract, we use Business Process Model and Notation (BPMN) modeling to describe application requirements for trade of goods and services and then transform automatically the BPMN model into the methods of a smart contract. In our previous research we described our approach and a tool to T ransform A utomatically B PMN models into S mart contracts ( TABS ). In this paper, we describe how the TABS approach is augmented with the support for a BPMN trade transaction that is a collaboration by several actors. Our approach analyzes the BPMN model to determine which patterns in the BPMN model are suitable for use as trade transactions and show those patterns to the developer who decides which ones should be deployed as trade transactions. We describe how our approach automatically transforms the BPMN model into a smart contract that provides a transaction mechanism to enforce the transactional properties of the nested transactions. Our approach greatly reduces the developer's task as synchronization of collaborative activities is provided by our approach, so that the developer needs to code only isolated tasks with well-defined inputs and outputs. We also overview the TABS+ tool we built as a proof of concept to show that our approach is feasible, and we provide estimates on the cost of supporting the nested trade transactions.

The title compound, [Ru(C19H13N5)2](PF6)2·3C4H10O, was obtained from the reaction of Ru(bimpy)Cl3 [bimpy is 2,6-bis­(1H-benzimidazol-2-yl)pyridine] and bimpy in refluxing ethanol followed by recrystallization from diethyl ether/aceto­nitrile. At 125 K the complex has ortho­rhom­bic (Pca21) symmetry. It is remarkable that the structure is almost centrosymmetric. However, refinement in space group Pbcn leads to disorder and definitely worse results. It is of inter­est with respect to potential catalytic reduction of CO2. The structure displays N—H⋯O, N—H⋯F hydrogen bonding and significant π–π stacking and C—H⋯π stacking inter­actions.