Minnesota State University, Mankato
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Comparative Analysis of Machine Learning Models for Glioblastoma Survival.
No full textGlioblastoma multiforme (GBM) remains one of the most lethal brain tumors, necessitating improved survival prediction models that integrate clinical and molecular data. This study develops a comprehensive machine learning pipeline leveraging TCGA-derived multi-omics datasets to predict binary survival outcomes. The framework integrates four classifiers Logistic Regression, Random Forest, XGBoost, and Support Vector Machine (SVM) and includes rigorous preprocessing with MCAR testing, KNN imputation, feature scaling, and hyperparameter optimization via GridSearchCV. SMOTE was applied to mitigate class imbalance and enhance model robustness for minority survival classes. Comparative performance analyses revealed Random Forest and XGBoost as top performers, achieving the highest recall and ROC–AUC (~0.80–0.81), while SVM demonstrated stability under high dimensionality, and Logistic Regression provided a strong interpretable baseline. Both ensemble models effectively captured nonlinear gene–methylation interactions and exhibited balanced precision–recall performance, emphasizing a trade-off between interpretability and predictive strength. Model interpretability through SHAP analysis identified key clinical and genomic predictors including age, IDH mutation, MGMT promoter methylation, and G-CIMP-related methylation clusters—that aligned with known biological mechanisms. These findings suggest that ensemble-based, interpretable ML frameworks can complement existing prognostic markers, offering clinically transparent decision-support tools for GBM patient risk stratification and personalized treatment planning
Methodological Issues and Reflexivity Practices in Qualitative Language Teacher Education Research
No full textThis volume brings together researchers from around the world, including Mexico, USA, China, Japan, Iran, Turkiye, Indonesia and the UAE, conducting qualitative research in the field of language teacher education.
Each chapter highlights cutting-edge research in language teacher education with particular emphasis on non-traditional research methods, including autoethnography, narrative inquiry, participatory action research, and video-cued multivocal ethnography. The contributors discuss the methodological challenges experienced by the researcher(s) and participants in each study and share their recommendations for best practice. Discussion questions and research activities and assignments are included at the end of each chapter.
Designed for students at both the advanced undergraduate and graduate levels, this volume is an essential guide for researchers interested in qualitative research methods, language teacher education, reflexivity and researcher positionality.https://cornerstone.lib.mnsu.edu/university-archives-msu-authors/1510/thumbnail.jp
December 2025 Library & Learning Newsletter
No full textPDF version of the December 2025 (Volume 4, Issue 5) Library & Learning Newsletter
Surveying Teaching Rewards for Effective Behavior Management
No full textThis study investigated the implementation of teacher reward systems within School-Wide Positive Behavioral Interventions and Supports (SWPBIS) in K–12 educational settings. While the PBIS framework has been extensively studied for its impact on student behavior and academic outcomes, limited attention has been given to supporting and motivating educators through systematic reward systems. This research aimed to identify the types of teacher rewards used, methods of selection and distribution, and staff perceptions of effectiveness and social validity. Using a structured 39-item survey distributed to SWPBIS team members across eight schools in Minnesota, the study gathered quantitative and qualitative data on current practices. Results indicated that most schools employed a combination of tangible, social, and opportunitybased rewards, with peer nominations and PBIS team decisions being the primary methods for selecting recipients. Social acknowledgments were rated the most effective reward type. A positive correlation was observed between consistent implementation and improved school climate. Findings suggest that teacher rewards, when thoughtfully designed and implemented, can enhance staff morale, increase fidelity of SWPBIS practices, and contribute to a more supportive educational environment. The study highlights the need for further research into scalable, cost-effective models for teacher reinforcement
Collaborative Opportunity: Growing a Community around Integrated Engineering
No full textIntegrated Engineering is emerging across the world. One commonality among programs is a desire to innovate in ways not seen as possible within traditional engineering disciplines. The inclusive pedagogical approaches seen in integrated engineering programs offer promise for truly transforming engineering education. These student-centered approaches align with caring pedagogies and provide sustainable infrastructure for supporting diverse student experiences. Innovation in engineering education can be challenging to implement and can be challenging to sustain. Community support can make a positive difference. Building on a series of community conversations at multiple international conferences as well as an international symposium in London during the summer of 2024, this paper will be used to spark a conversation about innovations related to integrated engineering. The goal is to include new voices to extend the existing community, build a stronger network, and provide an opportunity to reflect and plan implementation steps for enacting holistic approaches to engineering education
Sai Meghana Lakku Honors Portfolio
Get PDFSai Meghana Lakku\u27s honors portfolio captured in May 2025
Spring 2025 Library Newsletter
Get PDFMinnesota State University, Mankato Library Services newsletter (Volume 30, Issue 2) for Spring 2025
Home is Where the Heart Is: Expanding Affordable Housing Access
Get PDFThis policy brief advocates for bold and transformative approaches to address the ongoing housing crisis in Minnesota. One of the most impactful solutions is the passage of the Minnesota Constitutional Amendment for Housing, which would enshrine the right to housing in our state constitution. This legal shift would serve as a foundation for equitable housing policies and sustainable funding for programs that meet the real needs of Minnesotans
Food Porn
Get PDFFood Porn explores the seductive allure of consumer food culture, tapping into themes of desire, indulgence, and excess. Inspired by the bold colors and compositions of pop art, my work exaggerates the appeal of everyday treats, mirroring the glossy, hyper-stylized nature of advertising. Through large-scale formats, repetition, and vibrant hues, I examine how food imagery fuels obsession, status, and identity. The way we consume food visually is just as powerful as the act of eating itself, blurring the line between sustenance and spectacle. By magnifying these visual temptations, my paintings invite viewers to reflect on their own cravings, the power of marketing, and the deeper cultural significance of what we consume
Black History Month, February 2025
Get PDFBibliography and photographs of a display of government documents from Minnesota State University, Mankato.https://cornerstone.lib.mnsu.edu/lib-services-govdoc-display-ethnic/1021/thumbnail.jp