The university overlooks Lake Nipissing. Nipissing University is recognized for providing an individualized student experience, having supportive and accessible professors, small class sizes, research opportunities for undergraduate students.
Abstract Droughts alter the precipitation‐runoff (PR) relationship, thereby influencing water resources planning and management. Previous studies have mainly focused on the influence of multi‐year droughts on PR relationship. The influence of different drought types across various timescales (monthly, seasonal, and annual) remains understudied. In this study, we applied a Cumulative Distribution Function‐Linear Regression‐Random Forest (CDF‐LR‐RF) algorithm to evaluate, bias correct, and integrate multi‐source precipitation data sets for drought assessment in a data‐poor basin. Then, meteorological drought (MD) and hydrological drought (HD) were identified using the Standardized Precipitation‐Evapotranspiration Index (SPEI) and Standardized Runoff Index (SRI), respectively, with compound drought (CD) events defined where MD and HD overlapped. The PR relationship was characterized using Slope (conversion speed) and R2 (relationship strength). The approach was tested in the source region of the Yellow River basin (SRYB) in northwest China. The key findings include: (a) The CDF‐LR‐RF method efficiently integrates multi‐source precipitation data, significantly improving accuracy for drought assessment. (b) In the SRYB, MD, HD, and CD exhibit clear time‐scale effects, with CD being more severe and longer‐lasting than MD, but less so than HD. (c) Different drought types impact the PR relationship differently across timescales, with short‐term droughts (identified through monthly and seasonal SPEI/SRI) showing a stronger effect than long‐term droughts (e.g., annual scale). (d) CD influences both the strength and conversion speed of the PR relationship, with its impact generally stronger than MD but weaker than HD. These insights help managers predict water availability and target drought responses for specific drought types.
Pictures are a powerful medium to communicate complex and emotive messages. In particular, the human face expresses corporate culture including diversity and equal opportunity. However, despite the recent visual turn in accounting and finance, quantitative research on diversity in photos is scant because automated solutions for identifying and classifying human faces were not readily available. This paper seeks to bridge this gap by tailoring automated large-sample facial analysis from the recent computing literature into the accounting literature. Our automated model identifies and classifies faces with sufficient accuracy and precision to draw reliable inferences, and this model is made available for future research. We use the resulting quantitative dataset to analyse intermodal discourse in the annual report, asking the question: Do cover photos augment textual diversity disclosure, or are they PR window-dressing? Results suggest that the decision to publish faces on the annual report cover is associated with an integrated reporting strategy and high-quality diversity disclosure, consistent with pictures augmenting textual disclosures. Gender and ethnic diversity of faces in cover photos tell a different story, tending towards PR window-dressing. Methods and findings from this paper may be of interest to researchers, government and policy makers involved in diversity research and regulation.
PurposeWomen in Nepal face a heightened risk of poor mental health, with increasing evidence suggesting their social circumstances as key contributing factors. Yet, no research has explored how pressures to have children or achieve larger family sizes, embedded within Nepal's highly pronatalist context, are associated with women's mental health. In this context, the authors aimed to examine the association of pregnancy coercion with probable depression and symptoms of anxiety.Design/methodology/approachThe authors used the 2022 Nepal Demographic and Health Survey, which is a nationally representative data set. The authors applied logistic regression analyses to understand the association of pregnancy coercion with probable depression and symptoms of anxiety.FindingsThe authors found that 6% and 8% of women reported probable depression and symptoms of anxiety, respectively. The adjusted logistic regression analysis revealed that women who have experienced pregnancy coercion were more likely to report probable depression (aOR = 2.15, 95% CI = 1.52, 3.04) and symptoms of anxiety (aOR = 2.56, 95% CI = 1.80, 3.63) compared to women who have not experienced pregnancy coercion.Originality/valueIt may be especially important to develop a comprehensive and integrated mental health program aimed at women of reproductive age in Nepal. Part of this holistic approach may seek to empower women, specifically increasing their reproductive autonomy, where they are given greater power to decide on the number of children they desire to have. This can be approached from a human rights perspective, considering the association between pregnancy coercion and women's exposure to depression and anxiety disorders.
Household food waste contributes extensively to environmental degradation, and it accounts for half of the food wasted around the globe. This study investigates the effect of religious orientations (intrinsic and extrinsic) on household food waste prevention behavior, considering the mediating role of emotional intelligence and spiritual well-being. A questionnaire was distributed to evaluate the research variables targeting women (n = 475). Structural equation modeling has been adopted to analyze the data. Findings demonstrate that intrinsic religious orientation positively impacts household food waste prevention behavior, whereas extrinsic religious orientation negatively impacts it. Moreover, emotional intelligence and spiritual well-being play a mediating role through the effect of intrinsic religious orientation on household food waste prevention behavior. This study indicates that intrinsic and extrinsic religious orientations have opposite effects on household food waste prevention behavior. Also, emotional intelligence and spiritual well-being highlight the need for different strategies to encourage food waste reduction behavior specific to an individual's religious orientation.
