SUNY Brockport

Abstract Objective Test whether dietary differences among hatchery strains of Lake Trout Salvelinus namaycush were associated with variation in egg thiamine concentrations and assess the potential for using strain-specific traits to mitigate thiamine deficiency complex (TDC) in Lake Ontario restoration efforts. Methods Stomach content analysis and stable isotope mixing models were used to compare diets among four hatchery strains of Lake Trout, representing lean and humper morphotypes. Egg thiamine concentrations were measured to test whether dietary differences correlated with susceptibility to TDC. Results Significant differences in diet and egg thiamine concentrations were observed among Lake Trout strains. A humper-like morphotype strain exhibited elevated thiamine levels, which were associated with reduced consumption of prey known to degrade thiamine levels when consumed, Alewife Alosa pseudoharengus and Rainbow Smelt Osmerus mordax, and increased reliance on Round Goby Neogobius melanostomus or sculpin species (Slimy Sculpin Cottus cognatus and Deepwater Sculpin Myoxocephalus thompsonii). These findings support the link between the consumption of Alewife and Rainbow Smelt and thiamine deficiency. Conclusions Our findings support a link between strain-specific dietary preferences and susceptibility to TDC in Lake Trout. Preferential stocking of strains less prone to TDC, such as the strain derived from a humper morph from Lake Superior, could enhance restoration success in Lake Ontario. This strategy may be especially effective given the continued dominance of Alewife in the lake's prey base and the current management priorities supporting fisheries for Pacific salmon Oncorhynchus spp.

Academic side hustles—entrepreneurial ventures pursued alongside traditional scholarly roles—are emerging as strategic assets for both individuals and institutions. Far more than sources of supplemental income, these ventures translate specialized academic expertise into real-world applications, advancing both career development and knowledge dissemination. Drawing on narrative reflection and literature-informed insights, we argue that academic entrepreneurship enhances both leadership scholars and scholarship through applied learning, enriched teaching, and research translation. We explore push-and-pull motivations, outline the benefits and tensions of hybrid identities, and offer practical strategies for integration. With institutional support, strategic alignment, and effective boundary management, academic side hustles can strengthen—not compete with—scholarly excellence. This article reframes faculty entrepreneurship as a source of organizational resilience and innovation within a hybrid knowledge economy in a way that benefits leadership scholars and their professional practice.

Broadband is central to today’s Internet connectivity and is used by millions of people world-wide. Thus, a high-quality customer experience is crucial for broadband service providers to guarantee customer satisfaction. To improve broadband customer retention, businesses need to predict customer complaints proactively. While the majority of the existing Artificial Intelligence (AI) research focuses on improving prediction models, we take a data-centric approach. We analyze and compare various data synthesis algorithms and demonstrate that using synthetic data is a reliable way to predict customer complaints.

End-of-Life (EoL) phones significantly exacerbate global e-waste challenges due to their high production volumes and short lifecycles. Disassembly is among the most critical processes in EoL phone recycling. However, it relies heavily on human labor due to product variability. Consequently, the manual process is both labor-intensive and time-consuming. In this paper, we propose a low-cost, easily deployable automated and selective disassembly and sorting system for EoL phones, consisting of three subsystems: an adaptive cutting system, a vision-based robotic sorting system, and a battery removal system. The system can process over 120 phones per hour with an average disassembly success rate of 98.9%, efficiently delivering selected high-value components to downstream processing. It provides a reliable and scalable automated solution to the pressing challenge of EoL phone disassembly. Additionally, the automated system can enhance disassembly economics, converting a previously unprofitable process into one that yields a net profit per unit weight of EoL phones.

Over the years there have been several models of Paralympic Sport programming and Disabilities awareness program within Physical Education contexts for a variety of age levels. These include the Paralympic Sports Day (PSD) for youth in K-12 settings, the Paralympic Sports Lab (PSL) for college students, and Inclusive Sports at School (ISS) for college students. Mainly, the programs aim to develop knowledge of Paralympic sports and change the attitudes of people without disabilities towards Paralympic athletes and sports through an immersive experience. Since the first guidelines published in 2006 by the International Paralympic Committee, several studies have highlighted the attitude change of the participants who engaged in these Paralympic experiences. The purpose of this article is to provide another option for a Paralympic sports program that trains future teachers to lead. The purpose, process, and specific program structure are provided so the reader can replicate this innovative program.

Abstract The idea of Christian unity is a theological commitment of the Church. Leadership of the Church is tasked with preserving this theologically grounded unity. In the present zeitgeist , calls for racial and social justice have challenged what leadership looks like pertaining to maintaining unity within the Church—especially as unity relates to issues of diversity, equity, and inclusion. Transformational leadership is an essential theory in leadership studies. While many scholars agree that a key concept of transformational leadership is creating connections between leaders and followers, defining the parameters of transformational leadership is challenging. This challenge is highlighted in this work because of the shifting nature of cultural contexts that impact the relational connections between leaders and followers in terms of embracing and promoting diversity, equity, and inclusion while maintaining Christian unity. This case study of Acts 6:1–7 explicates an Africana Pentecostal theology of transformational leadership grounded in a nexus of diversity, equity, and inclusion.

Cancer treatments often yield different results from patient to patient due to the genomic heterogeneity of tumors. Accurately predicting a patient's response to an anticancer drug is challenging, especially when using traditional machine learning models trained on cell lines and applied to patient data. These models struggle with domain shift (out-of-distribution data due to differences between cell line and patient data), loss of tissue specificity, and data imbalance across domains. To address these issues, we developed the Tissue-Aware and Prototype Learning for Drug Response Prediction (TAPL-DRP) model. This model predicts anticancer drug responses using a two-stage process. At the stage of tissue-aware cross-domain feature extraction, we integrate a Variational Autoencoder (VAE) and a Generative Adversarial Network (GAN) to extract features from both cell line and patient data. This process incorporates tissue prototypes, InfoNCE loss, and class-balance loss to ensure the features are not only domain-invariant but also biologically meaningful and tissue-specific. At the drug response prediction stage, the model combines these extracted features with molecular drug graph features. It then uses the tissue prototypes to guide the training of the classifier, which further improves the prediction accuracy. We tested TAPL-DRP on the TCGA clinical dataset and the PDTC in vitro dataset. The results show that our model significantly outperforms other methods in key metrics like AUC, AUPRC, ACC, and MCC. This demonstrates its effectiveness in handling domain shift and maintaining tissue specificity. Further analysis confirmed that the tissue prototypes, mutual information loss, and class-balance strategies are all crucial components of the model. In summary, TAPL-DRP offers an effective and precise solution for predicting anticancer drug responses in personalized medicine.The source code is available at https://github.com/weiba/TAPL-DRP.

Spirituality is an integral part of patient-centered care: Inclusive nursing, which encompasses assessing and responding to patients' spiritual needs, can improve patient outcomes. It is important to determine a patient's religion and spirituality at the beginning of care because this may affect how a patient wishes to be treated. In support of patients' spirituality, hospital chaplains are experts in providing spiritual care to patients, families, and staff. This article discusses the role of hospital chaplains and central aspects of different religious beliefs, with the aim of better equipping nurses to support patients' spiritual needs across diverse backgrounds.