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BS-1 AI-Driven Customer Behavior Prediction for Strategic Business Decisions.
No full textAI-Driven Customer Behavior is a process of understanding and predicting customer behavior to improve in the competitive business environment. Artificial Intelligence (AI) is one of the leading tools used for analyzing customer data, pattern matching, making purchasing decisions, predicting future trends, and maintaining data privacy. By Using deep learning, natural language processing, and machine learning algorithms, businesses can improve effective marketing campaigns, customer retention rate, and growth of the business. Artificial Intelligence predictive models enable organizations to set up customer feedback and customer interactions, which helps to find new ways to resolve their issues through the feedback of the customer. It can handle data-driven decisions easily and accurately with modern trends to site future outcomes in an efficient manner. The result of this research is to apply AI techniques to enhance business profitability by improving customer satisfaction and experience
BS-2 AI-Powered Content Marketing: Strategies for the Future
No full textThis paper explores the influence of Generative AI on content marketing, which is transforming how companies produce and optimize content. AI-driven tools like ChatGPT and GPT-4 help in blogging, ad copy refinement, and marketing strategy improvement. Though efficient, AI falls short of human creativity and emotional connection.
Tools such as Grammarly simplify sentence building, and NLP (Natural Language Processing) allow brands to customize content without losing brand identity. Applications like Lately.ai transform lengthy content into shareable social media posts that increase reach.
While AI has advantages, it can never fully substitute for human instinct in storytelling and brand representation. Human authenticity and AI-driven efficiency need to be considered. Using Gen AI enables businesses to enhance creativity, enhance targeting capabilities, and design future-proof campaigns to make content effective and sought afte
FA-1 A Comparison of Student Engagement Across Three Teaching Modalities in an Introductory Statistics Course
No full textMost educators agree there is a strong positive correlation between student engagement and student success. However, there is a dearth of scholarship on the teaching modalities that best foster engagement. This study presents a comparison of students’ behavioral engagement in an introductory statistics course taught with three distinct teaching modalities: traditional face-to-face, targeted flipped, and fully online. The study found that the fully online group had statistically significantly lower levels of student engagement than the students in the face-to-face group and the targeted flipped group, which had comparable levels of engagement. Further, the results indicated a large effect in the successful completion of out-of-class assignments for both the face-to-face and targeted flipped sections over the fully online section, and that a correlation exists between course delivery methods and student engagement
HM-3 Using Regional Literature to Teach Multicultural Education
No full textRegional literature in an invaluable tool that can be used to teach multicultural studies in the classroom by highlighting diverse cultural perspectives, histories, and traditions that are embedded in local narratives. This paper examines the role that regional/cultural literature plays in helping students become more self-aware of their own cultural identity, as well as to introduce them to cultures that are different than their own. Particularly, this study analyzes the dialect, cultural elements, and historical context in the works of Appalachian writer James Still. Still’s works are a goldmine when it comes to study of the culture, history, and traditions of Southern Appalachia. Still’s dialect and other linguistic characteristics make his work a vital source for research into Appalachian life, especially in the coal mining country of Eastern Kentucky. The primary goal of this paper is to determine how best to use certain texts to teach students about the dialectal features such as the grammar, lexicon, syntax, and social context of Appalachian “Southernisms,” as well as the cultural and historical context of the time in which they were written by introducing students to some of the folkways and music of the region. The secondary goal is to present the results of the study as a model that other teachers can use to analyze their own choice of regional/cultural literature to create a curriculum to better instruct students about their own diverse cultures. By applying these insights, educators can develop a curriculum that will foster a deeper engagement with multicultural topics, which will empower their students to explore their own cultural heritage, as well as gain perspective through the cultural experiences of others. Applying the insights found in this paper, teachers can facilitate an atmosphere of culture awareness and appreciation in the classroom
HM-4 The Language of American-Indian Removal
No full textThe prevalent of American-Indian removal begins and ends with the removal of the five southeastern nations from their homelands east of the Mississippi river. However, American-Indian removal was an evolving process, with its roots in Britain\u27s foreign diplomacy in the colonies in the early 18th century to the highly predatory removal policies of the American government in the 19th century. There are four critical treaties that showcase how over time, American-Indian nations were regarded with less respect in treaty negotiations and ultimately the ability to keep any land as diplomacy turned into removal over the course of a century. This presentation will show that there was a very clear transformation in the language of these treaties, that an observer can see the interests of the authors\u27 perspective in negotiations shift to setting terms for a people they viewed as inferior. This process was not abrupt; the ideas behind removal did not begin with Jackson’s election, but began to appear during the revolutionary era, when American colonists began to focus on their own interests at the expense of the Indigenous peoples. Colonial desire for a strong economic presence in America was intertwined with efforts to remove Indigenous peoples from lands the colonists wanted to live on. From William Johnson’s intense cultivation of diplomatic relations between the British and the American-Indian peoples, to Jackson’s brutal conquest of the Mississippi, the culture surrounding these treaties altered the relationships between their colonial authors and the peoples they negotiated with. Removal became more radical and more demanding the more power as the colonists established a local American government, with visions of conquest
SS-5 Should I Stay or Should I Go? Applying the Investment Model to College Commitment
No full textThis research explores the factors that contribute to undergraduate students either staying enrolled in their current institution or transferring to a new institution. Previous research exploring commitment has looked through the lens of romantic relationships to better understand the factors that determine staying or leaving. More recently, these behavioral theories have increasingly been applied to different sorts of relationships. Specifically, we apply Rusbult’s Investment Model for romantic relationships to the relationship between a student and their university. Traditionally, this theory measures level of investment, quality of available alternatives, and level of satisfaction in the context of romantic relationships. In our experiment, we randomly assign participants to different scenarios in which we manipulate their perceived level of investment, perceived quality of available alternatives, and perceived satisfaction with their current university. We then measure their likelihood to transfer to a new institution. Study 1 produced results suggesting students make commitment decisions to universities using the same pattern of factors people use more generally to evaluate their romantic relationships. Notably, first generation students weighed these factors differently than typical students. Study 2 was an attempt to replicate these findings using samples from other parts of the United States. For Study 2, we’ve collected over 300 participants at Metropolitan State University in Denver, Colorado, as well as more than 300 participants at Sam Houston State University in Texas. Data collection will be completed by mid-March with final analyses coming shortly after. These findings have important implications for student retention and enrollment
Alcohol Use Disorder Medication Coverage and Utilization Management in Medicaid Managed Care Plans
Get PDFIMPORTANCE Evidence-based, patient-centered treatment for alcohol use disorder (AUD) can include pharmacotherapy with naltrexone, acamprosate, or disulfiram; however, these medications are rarely used. Medicaid managed care plans (MCPs) manage health services for nearly 80% of Medicaid enrollees and are the largest payer for addiction treatment services. Little is known about Medicaid MCP policies for AUD medications.
OBJECTIVES To describe Medicaid MCPs’ coverage and management of acamprosate, naltrexone, and disulfiram for AUD and examine associations of plan characteristics and state policies with medication coverage.
DESIGN, SETTING, AND PARTICIPANTS In this cross-sectional study, a content analysis was performed of 2021 insurance benefit data for 241 comprehensive Medicaid MCPs in states using Medicaid managed care, as well as secondary sources. Data were analyzed from May to August 2024.
MAIN OUTCOMES AND MEASURES Medicaid MCP-reported medication coverage and utilization management requirements (eg, prior authorization, quantity limit requirements) for acamprosate, disulfiram, and oral and injectable naltrexone together and for each medication separately. Independent variables included plan characteristics (profit status, market share) and the state policy environment in which plans are embedded (Section 1115 substance use disorder waiver, statedefined preferred drug list). Regressions examined associations of plan characteristics and state policies with medication coverage.
RESULTS In this cross-sectional content analysis of 241 comprehensive Medicaid MCPs in 2021, 217 (90.0%) covered at least 1 medication for AUD: 132 (54.7%) covered acamprosate, 203 (84.2%) covered oral naltrexone, 175 (72.6%) covered injectable naltrexone, 152 (63.0%) covered disulfiram, and 103 (42.7%) covered all 4 medications. Prior authorization and quantity limits were rarely applied, except for injectable naltrexone, for which 75 plans (42.8%) imposed at least 1 of these utilization management requirements.
CONCLUSIONS AND RELEVANCE This study suggests that efforts to expand AUD medication prescribingmay be limited by gaps in health insurance coverage. Medicaid MCPs and states can support AUD medication utilization by covering these medications without applying utilization management strategies
Deep Jansen-Rit Parameter Inference for Model-Driven Analysis of Brain Activity
Get PDFAccurately modeling effective connectivity (EC) is critical for understanding how the brain processes and integrates sensory information. Yet, it remains a formidable challenge due to complex neural dynamics and noisy measurements such as those obtained from the electroencephalogram (EEG). Model-driven EC infers local (within a brain region) and global (between brain regions) EC parameters by fitting a generative model of neural activity onto experimental data. This approach offers a promising route for various applications, including investigating neurodevel- opmental disorders. However, current approaches fail to scale to whole-brain analyses and are highly noise-sensitive. In this work, we employ three deep-learning architectures—a transformer, a long short-term memory (LSTM) net- work, and a convolutional neural network and bidirectional LSTM (CNN-BiLSTM) network—for inverse modeling and compare their performance with simulation-based inference in estimating the Jansen-Rit neural mass model (JR- NMM) parameters from simulated EEG data under various noise conditions. We demonstrate a reliable estimation of key local parameters, such as synaptic gains and time constants. However, other parameters like local JR-NMM connectivity cannot be evaluated reliably from evoked-related potentials (ERP). We also conduct a sensitivity analysis to characterize the influence of JR-NMM parameters on ERP and evaluate their learnability. Our results show the feasibility of deep-learning approaches to estimate the subset of learnable JR-NMM parameters
A Tailored Approach to PrEP Screening for Awareness and Readiness
No full textProblem Statement: Human immunodeficiency virus (HIV) is a serious health concern in the United States (U.S). Pre-Exposure Prophylaxis (PrEP) is a vital intervention in the prevention of HIV, yet its uptake and adherence are suboptimal due to barriers in identifying individuals who are most at risk and would benefit most from this preventive measure.
Purpose: This evidence-based project aimed to evaluate whether implementing a PrEP readiness tool at a walk-in clinic would identify at-risk adults and adolescents and lead to an increase in referrals for PrEP initiation.
Method: A PrEP Questionnaire from the Department of Wisconsin Public Health was given to individuals seeking sexually transmitted infection (STI) testing and treatment at a walk-in clinic. This tool was used with permission. High risk individuals were referred for further information.
Inclusion Criteria: English or Spanish-speaking individuals at least 16 years old with HIV risk factors. Participants had to have the capacity to provide informed consent. The participants\u27 health condition did not contraindicate the use of PrEP. Individuals with or without health insurance were eligible to participate.
Results: A chi-square test of independence showed a statistically significant association between PrEP questionnaire completion and referral acceptance, χ²= 6.78, p = 0.009. Patients who completed the questionnaire were significantly more likely to accept a PrEP referral, supporting the effectiveness of the screening tool in improving referral outcomes.
Implications for Practice: A PrEP screening tool helped identify individuals at risk for HIV. An increased uptake of PrEP can help end the epidemic of new HIV infections. Preventing new HIV infections through PrEP can lead to significant cost savings in healthcare
Improving Completion of Diabetes Management Measures in Primary Care
No full textProblem Statement: Adults with type 2 diabetes are at a risk of multiple comorbidities that can be prevented with proper screenings performed as recommended by the American Diabetes Association.
Purpose: Determine if using a checklist on the patient router will improve completion of urine microalbumin, diabetic eye exam, and diabetic foot exam.
Methods: The MA/LPN asked the patient about the last eye exam performed and requested a record from the previous provider if performed within the last year. If the microalbumin was not current, the MA/LPN obtained a urine specimen and placed the order into EPIC. If a diabetic foot exam was needed, the MA/LPN had the patient remove their shoes and socks before the provider entered the exam room.
Inclusion Criteria: Adults (18 years or older) with type 2 diabetes, being seen in an ambulatory primary care office
Analysis: A t-test evaluated the effectiveness of the checklist in compliance with diabetes standards of care. Descriptive statistics summarized the data. A Chi-squared test illustrated that the router is associated with increased completion of measures.
Implications for Practice: Improvement of compliance in standards of care for diabetes management, thus reducing the risk of diabetes related complications