Internship Experience at Hiawatha Valley Mental Health Clinic

This will be a poster board presentation on my internship experience at the Hiawatha Valley Mental Health Clinic. It will feature some things I\u27ve learned over the semester, like being assertive, facilitating group sessions, and redirecting within group sessions. I will also showcase how a psychological theory or principle applies to my internship experience

Modeling cis/trans preferences of Sn( acac )2Cl2 complexes

Tin(IV) complexes bearing two chloride ligands and two symmetric β-diketonate ligands exhibit octahedral geometries. As such, they can theoretically present in two geometric isomer forms, cis and trans. Modeling of isomeric forms of these Sn(IV) complexes with five different β-diketonate ligands has been conducted to identify overall preference as well as to attempt to ascertain any influence the ligand\u27s own electronic properties has on exhibited isomeric preference. Additionally, modeled IR spectra of cis and trans forms were compared to determine the utility of that characterization method in distinguishing these isomers

AI in Business Classes

Artificial Intelligence (AI) is rapidly reshaping educational landscapes, offering opportunities to enrich teaching methodologies across diverse academic disciplines. In this session, two experienced faculty members from the College of Business share insights and practical experiences on integrating chatbots into their Finance and Management Information Systems (MIS) classes. Through practical examples from finance courses, such as investments and the Student Managed Investment Fund, and from MIS classes covering programming, databases, networking, and introductory MIS concepts, the presenters demonstrate how AI chatbots can effectively support student learning, enhance classroom engagement, and foster deeper conceptual understanding. This presentation will explore key successes, potential challenges, student feedback, and ethical considerations associated with using AI-powered tools in higher education. Attendees, including faculty and students from various disciplines, will gain actionable strategies and best practices for leveraging AI to elevate their own teaching and learning experiences

Synthesis and characterization of bis(β-diketonato)dichloridotin(IV) complexes

Several tin(IV) complexes bearing two chlorides and two β-diketonate ligands have been successfully synthesized. These complexes were easily afforded by the open-air oxidation of SnCl2 in either a solution of the β-diketone or in the neat liquid ligand itself. All complexes were characterized by mass spectrometry, and NMR and IR spectroscopies. In some cases, single crystals were isolated and analyzed by X-ray diffraction. These complexes have been produced in support of several related projects as part of a CURE-based laboratory experience in CHEM 213

Comparing Image Upscaling Quality Between Photoshop and Clip Studio Paint

AI features in the digital art programs Clip Studio Paint and Adobe Photoshop have been increasingly marketed as AI becomes prevalent in all aspects of digital life. Both programs consist of AI upscaling features that they promote. In this paper, a set of images will be created and tested, starting at a base resolution and upscaled to several higher resolutions, as well as downscaled to a few lower resolutions. From the upscaled images, metrics will be qualified based on several aspects of image quality- specifically: sharpness, color preservation, detail preservation, and artifact reduction, all of which will be tested using the Python OpenCV library. The algorithms that will test the images are Histogram to measure similarities in pixel color, Peak Signal to Noise Ratio (PSNR) to measure if any artifacts were created in the scaling, and Structural Similarity Index Measure (SSIM) to measure sharpness of the scaled image. While the program is running, impact on the system will be recorded to compare at the end of the testing phase. The expected outcome is in favor of Adobe Photoshop. Keywords: Upscaling, downscaling, image quality, AI image processin

Investigations of anthranilic acid-based azo dyes as chemical detectors for Pb2+

We have explored the use of azo compounds synthesized from anthranilic acid and natural phenols for the detection of lead(II) ions. These azo compounds, in their deprotonated form, bind to lead ions through the carboxylate and a nitrogen atom of the azo group. In some cases, visual detection is sufficient to verify the presence of Pb2+ ion. Spectrophotometric analyses of solutions of the uncoordinated dyes and their Pb2+ complexes were also compared

CE 633 Syllabus: Ethical Practice and Social Change

This course introduces students to the legal, professional and ethical issues that affect the practice of counseling and psychotherapy and the methods and ethical basis for counselors to be agents of social change. Students will become familiar with law and ethical codes related to the counseling profession. A model for ethical decision-making will be presented. Also, students will be presented with models for social change in their function as leaders, change agents, collaborators, and risk takers. Providing outreach and advocacy services in the school and community settings, students will expand their role as counselors to include the social contexts of culture, the dynamics of power at work in any system, and the political processes essential for change

History and Legal Studies Research Showcase

This is the annual spring celebration of student research in the History and Legal Studies Departments. This includes research presentations by students in the Senior Seminar and other classes. The department will also induct new members into Lambda Epsilon Chi (LEX) Legal Studies honors society and Phi Alpha Theta (PAT)- the History Honors society

Misinformation—How it Plays a Role in Our Perceptions of the Political Realm

If survey recipients are presented with negative misinformation, then they will be unsatisfied with the president elects time in office. If survey recipients are presented with positive misinformation, then they will be unsatisfied with the president elects time in office. This research takes the form of a survey which will be sent Winona State students to record their responses. I will test my hypothesis with one survey, which will include several demographic questions. These questions will be paired with questions that present “fake news” or misinformation about president elect Donald Trump. The misinformation will present him in a negative light. The other set of questions that show misinformation will show president elect Donald Trump in a positive light. This set of questions will be randomized in each survey. The end of the survey will then ask a question about the recipient\u27s satisfaction with presidents\u27 term so far. The idea is that the fake news presented will affect the recipient\u27s satisfaction with the president\u27s term so far. If recipients are presented with positive fake news, they will be more satisfied with the president\u27s term so far. If the recipients are presented with negative fake news they will be dissatisfied with the president\u27s term so far. If the demographics in each survey are roughly 50% equal, then my hypothesis will be correct. I will get my data from the survey responses and analyze the answers to either support my hypothesis or disprove my hypothesis

Causal Inference for ICU Patients

Sepsis is an infection that can lead to vital organ dysfunction, and it is estimated to occur in 30% of ICU patients. This research aims to assess whether receiving a Transthoracic Echocardiogram (TTE) has an effect on the 28-day mortality rate of ICU patients with Sepsis, as TTEs are currently widely used in medical treatment. Our data source containing ICU patients comes from the Electronic Health Records (EHR) database MIMIC-III. This is an observational data source, so we attempted to establish causality by addressing assumptions and using various causal effect estimators. Additionally, we estimated heterogeneity in treatment effects across different groups of sepsis patients. Ultimately, we established a causal effect and identified which covariates are associated with large treatment effects. This research can be used to better inform clinical decisions when providing care for ICU patients with Sepsis