TTU Published Journals @ Volpe Library
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Comparing Parental Attachment Development and Attachment to God
This presentation aims to highlight the relationship between parental attachment styles and types of attachment to God. Counselors are trained to focus on holistic mental wellness, and attachment theory is one approach to the therapeutic process (Bock et al., 2021). Patterns of relating to others are constructed from one's early childhood experiences (Ainsworth, 1985; Granqvist & Kirkpatrick, 2008; Griffen & Bartholomew, 1994)) which can be observed through the individuals' style of attachment to God (Belavich &. Pargament, 2002). Maladaptive responses to adverse experiences affect the development of these patterns in relation to parents, others, and even potentially God (Kirkpatrick & Shaver, 1992). One paradigm that has been utilized in therapeutic practice and research is the Correspondence and Compensations models (Granqvist, 2002; Hall et al., 2009). This presentation will review these models, previous research findings, and extend a discussion based on this theoretical model
AI in Cybersecurity
The intent of this project is to address the importance of artificial intelligence in cybersecurity by describing its various applications in both attacks and defense. As artificial intelligence finds a place in more and more aspects of life, we must be aware of its potential strengths and shortcomings, especially from a security standpoint. Artificial intelligence suffers from one crucial dependency above all else - it is only as effective as the data used to train it allows. This detail alone allows for two distinct approaches to undermine its integrity; namely, the use of methods or information that lie outside the bounds of that training data, or the manipulation of the training data itself to create vulnerabilities in the AI. Despite these shortcomings, however, AI technology presents a means of detecting and preventing intrusions that far outstrip human ability alone. A great deal of currently available antivirus software is itself a rudimentary implementation of AI, analyzing patterns and signatures in software and external data to prevent intrusion. Machine learning, in particular, is an incredibly versatile method for analyzing valid or invalid data and making appropriate judgements regarding system security
*WINNER* Estimating the Condition of Streams & Rivers: An approach using supervised learning methodologies
Conservation efforts are ongoing by various state and federal agencies to improve the health, function, and connectivity of southeastern ecosystems by 10% by 2060. One mechanism for achieving this goal is by looking for where the opportunities to improve the network of lands and waters through land management practices, in the context of wildlife species sustainment. In this study, a habitat system condition index is developed and modeled to be representative of the relative departure of a current wildlife habitat condition from a desired condition to identify where there are conservation opportunities available across the landscape. The resulting index could be used to inform decision makers on where to conduct habitat specific conservation projects. Similar efforts in landscape scale ecology to produce condition indices commonly use an expert system modeling approach or a multi-criterion decision making method. This study explores the application of supervised learning methodologies to produce a more accurate and flexible index that is assessed using elicited field expertise knowledge and continuously validated through its usage by conservation practitioners. Due to the novelty of this approach, this paper discusses the methodologies used to solicit and digitize field knowledge expertise to create the training dataset used
Characterization of Binding-Induced Conformational Changes of Arrestin-3 Using 19F-NMR
Arrestins, a small family of multi-functional scaffold proteins, play essential roles in G-protein coupled receptor (GPCR) signaling. Due to the many signaling pathways they are involved in, understanding arrestin structure and dynamics could be important for developing therapeutics for a variety of diseases such as Alzheimer's and Parkinson's. It is widely believed that arrestins undergo significant conformational changes to orchestrate their complex signal transduction processes. It remains a great challenge to explore these essential conformational movements induced by the binding of other signal molecules. This project seeks to better elucidate the mechanisms through which arrestin-3 mediates these signaling pathways with the use of 19F Nuclear Magnetic Resonance (NMR) spectroscopy analysis of interactions and conformational changes associated with binding known partners such as IP6 and kinases from JNK cascades, including ASK1, MKK4 & 7 and JNK3. Further, this study employs two different methods for 19F incorporation into arrestin-3: (1) unnatural amino acid (F-Trp) incorporation and (2) specific labeling on cysteine residues. Both methods can introduce the reporter molecules which contain fluorine into a desired location on arrestin-3. We are focusing on studying two residues: lysine 400 (K400) at the C-tail of arrestin-3 and phenylalanine 88 (F88) at the N-domain
A Comparison of the Bacteria on the Skin of Pantheropis obsoletus
There is a known antifungal bacterium that can be found on the skin of rat snakes, known as Morganella morganii, which was found on the skin of wild rat snakes (Pantheropis obsoletus) according to Hill et al. (2018). In this experiment, the goal was to see if rat snakes in captivity share the same bacteria as rat snakes in the wild. I used three different rat snakes in the Tennessee Technological University Herpetology Collection to determine the bacteria. Following gel electrophoresis, successful rounds ofbacterial colony PCR were sent to obtain a DNA sequence to determine the species of bacterium found by the microbial identification library. After consulting the microbial identification library, I found the species of bacterium of the three rat snakes sampled from the Tennessee Tech Herpetology Collection. From these findings, we can deduce that rat snakes in captivity may have the possibility to carry the same bacteria as wild rat snakes. With further study, we can see if any other snakes within theTennessee Technological University Herpetology Collection contain Morganella morganii, and determine whether these bacteria are harmful or beneficial to captive and wild snakes
Impact of Divorce on Children
In this review I will be looking at the impact of divorce on children. The problem is that divorce has been shown to be an Adverse Childhood Experience (ACE). The purpose of this project is to explore the impact of divorce on school-age children's academic achievement. The articles I found were chosen based on if they were a good fit for the topic of exploration. I excluded articles that did not correlate to the topic. The key words I used to search for articles include divorce, academic achievement, socioeconomic status, and school-age. The databases in which I found the studies were Google Scholar and Tennessee Technological University Library. The participants in the reviewed studies included school-aged children, divorced parents, lower economic status parents, higher economic status parents, and parents' education level. In the studies found participants were randomly selected based on age and marital status. Children from single parent homes, especially ones with mothers, have lower academic achievement because of being raised in a stressful environment. Parental support also plays a role because lower parental support was shown to lead to decrease in children's motivation. These results connect to the purpose of this research because it narrowed down different factors contributing to academic achievement with children who have divorced parents. In the future researchers could investigate changes in children's developmental progress right after divorce occurs
Intimate Partner Violence Impact on Children
The topic of this project is about the impact that IPV has on young children. The problem is the alleged negative outcomes of IPC on children exposed to such violence. The purpose of this project was to explore the impact of IPV in early childhood. The articles included in this project were selected because they were relevant to my topic. These are articles that had key words such as intimate partner violence, children, and impact or effect. I found all the articles through Tennessee Tech's library Eagle Search database. I excluded articles that did not have enough information matching my topic. The participants in the reviewed studies were children who ranged from ages five to 16. The results include three important findings: 1. Negative outcomes are common for children who experience intimate partner violence, and the outcomes impact all aspects of their lives. 2. the impact can display itself through both internalizing and externalizing behaviors. 3. resilience is possible for children exposed or who would have witnessed IPV at a young age, but there must be protective factors in place for them. These results mean that children do not need to experience abuse themselves to be negatively impacted. These children impacted by IPV are witnessing in their homes. Researchers, practitioners, and law makers must raise awareness about these children because not enough is known about the increased risks arising from witnessing IPV
The Correlation Between Eating Disorder Treatment and Dietary Regulation Through Diet Tracking Apps in College Students and Women
Diet tracking applications are designed partly to aid in eating disorder recovery; however, they often exacerbate the problem. The purpose of this project is to investigate the effectiveness and outcomes of diet tracking app use. Articles used in this project were chosen based on participants' gender and age, investigations of recovering patients/those at risk, and ones conducted by eating disorder treatment facilities, physicians, or dietitians. Key words to search for articles were eating disorders, disordered eating, diet tracking, diet tracking techniques, calorie counting, self-monitoring, and MyFitnessPal. Participants in reviewed studies included college students, young women, recovering eating disorder patients, and individuals considered at risk for developing disordered eating habits. One key finding is 73% of My Fitness Pal users reported that tracking somewhat contributed to their eating disorder and 30% reported significant contribution. Another finding was that those using diet tracking apps for weight control purposes were more likely to report apps as contributing to several eating disorder symptoms than those tracking for health and disease prevention. An inquiry into diet tracking app usage may provide more information surrounding factors impacting eating disorder symptoms in men. Recommendations are that practitioners should stop recommending the usage of diet tracking apps and should use caution when adding recovery-specific apps to a patients' care plan
Closing Time?: German Foodservice During a Pandemic
The COVID-19 pandemic continues to present major financial challenges for the foodservice industry across the globe. This was especially the case in Germany, where increased restrictions have been placed on these businesses compared to other countries. This project explores how the German foodservice industry is adapting to the financial, health and safety, and operational challenges they are facing during the COVID-19 pandemic
The effect of angry and sad facial expressions on the perception of warmth and competence: Interactions with gender and race
This study tested whether counter-stereotypical emotional expressions (males expressing sadness and females expressing anger) were rated differently on warmth and competence. A three-way interaction among race, gender, and emotion suggested that gendered expectations about emotion expression depended on race; this interaction was replicated in a second study with different stimuli