12691 research outputs found
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Influence of Build Plate Location on Tensile Properties and Residual Stresses in LPBF-Fabricated Stainless Steel 316 Components
No full textAdditive manufacturing (AM), particularly Laser Powder Bed Fusion (LPBF), enables rapid production of complex metal components with minimal waste. Stainless Steel 316 (SS316) is widely used in engineering applications due to its corrosion resistance and mechanical reliability. This study investigates the influence of build plate location on tensile properties and residual stresses in LPBF-fabricated SS316. Twelve tensile specimens and nine unsupported bridge structures were fabricated at different build plate positions using a “machine model.” Tensile testing provided stress-strain data to evaluate peak stress, elastic modulus, and strain at break, while bridge curvature measurements quantified residual stress through warping. Results indicate that elastic modulus and ductility vary with part location, whereas residual stress-induced warping shows only minor differences across the plate. These findings demonstrate that build plate position affects mechanical performance more than deformation and highlight the importance of considering part placement to ensure consistent quality in LPBF-fabricated components
Aspen Leading Edge Podcast, Episode 131: Exploring ESG and DEI in Modern Corporate Law with Peter Oh
No full textPeter Oh, University of Pittsburgh School of Law, discusses the first edition of his casebook, Corporate Law and Governance: Principles and Practice. He shares how the book balances featuring Fortune 500 companies and small businesses, as well as the evolving landscape of ESG and DEI initiatives.https://commons.stmarytx.edu/edge/1100/thumbnail.jp
Detection of Catalytic Intermediates in the RuBisCO Mechanism using 13C and 31P NMR
No full textRibulose 1,5-bisphosphate carboxylase/oxygenase, or RuBisCO, is an enzyme which plays an essential role in carbon fixation and plant metabolism. While RuBisCO is considered the most abundant protein on the planet, its catalytic mechanism is still not completely understood. RuBisCO is notoriously slow and exhibits low specificity for CO2 over O2, leading to energetically wasteful photorespiration. Efforts to improve RuBisCO’s catalytic efficiency have been hindered due to an incomplete picture of key transient intermediates involved in the reaction. Acid quenched single turnover reaction experiments in combination with 13C and 31P Nuclear Magnetic Spectroscopy (NMR) offers a promising approach for the characterization of RuBisCO’s reaction pathway at a molecular level, including the detection of short-lived intermediates. In this study, we present an initial framework for applying NMR techniques to probe the RuBisCO catalytic pathway. We assess the feasability of detecting catalytic intermediates under varying experimental conditions, including cofactor availability and reaction time. Our preliminary data reveal both the promise and the technical challenges of this approach, including issues related to sensitivity, intermediate lifetimes, and sample conditions. While the direct observation of individual intermediates remains a target for future work, these findings demonstrate the potential of NMR as a tool for investigating RuBisCO’s catalytic mechanism and provide a technical foundation for future research aimed at the characterization of reaction intermediates.https://commons.stmarytx.edu/msrjs/1044/thumbnail.jp
Do Young Beluga’s Play More or Less Than Adult Beluga’s?
No full textThe presence of play is used as an indicator of well-being in many species including belugas. The purpose of the current study was to explore if object play exhibited by belugas varied between young and adult animals. Within the year 2023, 79 archived videos of the belugas at SeaWorld Texas were selected and coded for object play, which included water, enrichment devices, and organic material. Adult and young belugas engaged in a similar amount of play bouts and actions during object play. These findings suggest that belugas in managed care experience positive well-being as indicated by the presence of object play but do not address how object play emerges over development. Future research should explore the emergence of play to examine how development and experience influence actions with objects.https://commons.stmarytx.edu/msrjs/1036/thumbnail.jp
Leveraging MATLAB for Genomic Analysis of Alzheimer’s Disease Risk Genes in GWAS Datasets
No full textAlzheimer’s disease (AD) is a complex neurodegenerative disorder influenced by both environmental and genetic factors. My research emphasizes a bioinformatics pipeline using MATLAB, a data analysis tool, to analyze genome-wide association study (GWAS) data intended to pinpoint key genetic variants involved in AD. This method allows for large-scale genomic interrogation while minimizing manual processing errors. We are particularly interested in loci linked to well-established risk genes such as APOE, BIN1, and TREM2. Publicly available datasets, including the Gene Expression Omnibus (GEO) and Alzheimer’s Disease Neuroimaging Initiative (ADNI), are being processed to extract and purify relevant genotypic and expression data. Mat lab serves as a versatile engine to organize, clean, and statistically evaluate the data, integrating functions from the Bioinformatics Toolbox to conduct SNP filtering, allele frequency analysis, and genomic variant visualization. Efficient comparison between control and AD samples are displayed through effective methodology. Differential expression and variant patterns support findings reported in current literature. Insights from this analysis may reveal patterns that inform both diagnostic strategies and therapeutic research. Early identification of high-risk alleles allow for more personalized and proactive clinical interventions. This approach not only streamlines data analysis but also provides a standardized and scalable framework for future investigations. We aim to capture a deeper understanding of the molecular basis of AD and support efforts in preventive health by identifying early genetic risk factors. This research underscores the potential of computational biology in advancing precision medicine and demonstrates how technical tools like MATLAB can be applied in genomic medicine.https://commons.stmarytx.edu/msrjs/1046/thumbnail.jp
Why Aren’t Young Adults Voting? A Quantitative Analysis
No full textEven though college aged students are one of the largest elibible voting blocks within the United States, students have in the past demonstrated low voter turnout in elections. This study aims to explore what the underlying causes of this phenomenon are through asking: Why are college aged students not voting? Through this, it is specifically investigated if voter disengagement stems from a sense of political apathy or rather from issues regarding accessibility. Using data from the American Nation Election Studies (ANES) database, responses from individuals aged 18 to 26 are analyzed in order to assess the relatiuonship between different barriers that may be contributing to a lack of electoral participation. To determine whether there are statistically significant relationships present between these multifaceted factors and the voting behavior of young adults, chi-square tests of independence will be employed. The primary goals of this study is to clarify is the present disengagement and offer a more nuanced understanding of voting behavior of young college aged individuals. Findings from this statistical analysis aim to inform future outreach and civic engagement promotion among universities to better support and increase participation in young voters.https://commons.stmarytx.edu/msrjs/1050/thumbnail.jp