Digital Commons Network^™

Use Of Customized 3-Dimensional Printed Mandibular Prostheses With A Dental Implant Pressure-Reducing Device In Mandibular Body Defect: A Finite Element Study Performing Multiresponse Surface Methodology, Chun-Feng Chen, Wei-Chin Huang, Sung-Ho Liu, Ling-Lin Wang, Pei-Feng Liu, Ping-Ho Chen, Chun-Ming Chen

Journal of Dental Sciences

Abstract Background/purpose Segmental body defects of the mandible result in the complete loss of the affected region. In our previous study, we investigated the clinical applicability of a customized mandible prosthesis (CMP) with a pressure-reducing device (PRD) in an animal study. In this study, we further incorporated dental implants into the CMP and explored the use of dental implant PRD (iPRD) designs. Materials and methods By employing a finite element analysis approach, we created 4 types of CMP: CMP, CMP with iPRD, CMP-PRD, and CMP-PRD with iPRD. We developed 2 parameters for the iPRD: cone length (CL) in the upper …

Changes In Oral Pathology Teaching Methods During The Covid-19 Pandemic And The Impact On Student Performance (Oral Pathology Teaching Changes During The Covid-19 Pandemic), Jinhao Cui, Chihoko Ikeda, Katsuhiro Suzuki, Harumi Isono, Yukino Hisano, Yuma Yamamoto, Takehiro Yoshikane, Tomoharu Okamura, Kazuya Tominaga

Journal of Dental Sciences

Abstract Background/purpose Coronavirus disease 2019 (COVID-19) has influenced the dental education in Osaka Dental University. The purpose of this study was to summarize the impact of COVID-19 on student performance and the current more appropriate teaching methods by comparing the changes in various oral pathology exam results before and after COVID-19. Materials and methods The experimental and control groups consisted of second year students in the department of dentistry at our university for the years 2019 (136 people) and 2020 (125 people). The impact of different teaching methods on student performance was compared by calculating the mean scores and percentage …

Impaired Pulp Healing Associated With Underlying Disorders In The Dental Pulp Of Rats With Type 2 Diabetes, Qi Zhang, Shuo Tao, Ting Yang, Jiani Zhou

Journal of Dental Sciences

Abstract Background/purpose Type 2 diabetes mellitus (T2DM), characterized by hyperglycemia, is a systematic disease affecting structure and healing ability in various tissues. This study aimed to investigate whether T2DM could impair the dental pulp healing and cause underlying pathological changes in the dental pulp before an injury occurred. Materials and methods Goto-Kakizaki rats were used as T2DM model animals and performed with direct pulp capping procedures on the first maxillary molars. The molars at 1, 2, 4 weeks after operation and non-injured molars were examined using hematoxylin and eosin staining, immunohistochemical staining, immunofluorescence staining, and Masson's trichrome staining. The fresh …

Abmr: An R Package For Agent-Based Model Analysis Of Large-Scale Movements Across Taxa, Benjamin Gochanour, Javier Fernández-López, Andrea Contina

School of Integrative Biological & Chemical Sciences Faculty Publications

1. Agent-based modelling (ABM) shows promise for animal movement studies. However, a robust, open-source and spatially explicit ABM coding platform is currently lacking.
2. We present abmR, an R package for conducting continental-scale ABM simulations across animal taxa. The package features two movement functions, each of which relies on the Ornstein–Uhlenbeck (OU) process.
3. The theoretical background for abmR is discussed and the main functionalities are illustrated using example populations.
4. Potential future additions to this open-source package may include the ability to specify multiple environmental variables or to model interactions between agents. Additionally, updates may offer opportunities for disease ecology and integration with …

The Relationship Between Campus Dining, Student Learning, And Student Success, John Boswell

Graduate Research Theses & Dissertations

Campus dining does more than provide sustenance to a campus community. Campus dining is an integral part of student success and learning. Limited research has looked at the impact of campus dining, particularly in the areas of student success and learning. The purpose of this qualitative case study was to explore how campus dining directors in the Mid-American Conference (MAC) perceived how themselves and their dining programs impact student learning and success. Data was collected through interviews with MAC campus dining directors and through observations made on their campus dining websites. Three themes emerged from the research on ways campus …

Influence Of Land Use, Precipitation, And Seasonality On Surface Water Quality In The East And Upper South Branches Of The Kishwaukee River Watershed (Esbkr), Ashley Irene Broussard

Graduate Research Theses & Dissertations

The East and Upper South Branches of the Kishwaukee River Watershed (ESBKR) are two HUC-10 watersheds that cover approximately 221.8 mi2 (574.5 km2) in north-central Illinois. Segments of the Kishwaukee River within the ESBKR are in the ILEPA’s 303(d) list of impaired waters for fish consumption and aesthetic quality. To protect and improve stream health, we must better understand the impact of diverse land use on non-point source (NPS) pollution and water quality. The primary goal of this study was to determine how different land uses impact the surface water quality within the ESBKR. To address this goal, surface water …

Dispossessed Again: Paiute Land Allotments In The Mono Basin, 1907-1929, Robert B. Marks

Eastern Sierra History Journal

Like most California Indians, the Kutzadika^a people in the Mono Basin on the east side of the Sierra Nevada Mountains were dispossessed of their land in the second half of the nineteenth century. However, they were not then removed to a reservation. They were left landless with no rights to reclaim their land until the Dawes Act (1887) made land allotments to non-reservation Indians possible. This article explores the history of land allotments in the Mono Basin, and places that story into the broader context of U.S. assimilationist policies but more importantly into the context of local history. Kutzadika …

Dynamics Of Flood Flow In Red River Basin, Vida Atashi

Theses and Dissertations

In recent decades, flooding has become a major issue in many areas of the Upper Midwest. Many rivers and streams in the region had considerable increases in mean annual peak flows during this period, which was driven by a combination of natural factors including discharge synchrony with the spring thaw, ice jams, glacial lake plain, and a decrease in gradient downstream. The Red River of the North is a prominent river in the United States and Canada's Upper Midwest. It flows from its headwaters in Minnesota and North Dakota to Lake Winnipeg in Manitoba. The river is well-known for its …

Evaluating The Impact Of Electricity And Electron Movement On The Electric Grid From Distributed Generation, Cooper R. Wade

Theses and Dissertations

The United States’ electric grid is currently undergoing a monumental energy transition involving the incorporation of new fuel sources, generation types, and operational modifications. Since 1920, the U.S. energy collective has been overseen by the Federal Energy Regulatory Commission (FERC), where during this tenure they have pursued the direct regulation of Distributed Energy Resources (DERs). This reasoning has been utilized over 300 times in federal cases and proceedings as the adoption rate of DERs has increased, which is based upon the language allowing the federal regulation of electricity based upon the flow of electrons. This is based solely upon the …

Employing Artificial Intelligence Methods In Drug Development: A New Era In Medicine, Omega John Unogwu, Mabel Ike, Opkanachi Omatule Joktan

Mesopotamian Journal of Artificial Intelligence in Healthcare

Artificial intelligence (AI) plays a vital role in the development of pharmaceuticals. The whole drug development process, from target identification and lead optimization to clinical trials and post-marketing monitoring, has the potential to be revolutionized by AI. Data analysis is a crucial area where AI thrives. To find trends, correlations, and prospective targets for therapeutic intervention, AI systems can analyse enormous volumes of data, including electronic health records, molecular databases, academic literature, and clinical trial data. This saves time and resources by enabling researchers to decide which compounds or pathways to investigate. Lead optimization is another area where AI is …

Novel Delivery Systems Of Curcumin And Resveratrol, Mohamed Salem Elfaruk

Electronic Theses and Dissertations

No abstract provided.

Development Of Probiotic Whipped Cream And Butter Using Whey Protein Hydrolysate-Encapsulated Probiotic Organisms, Kritika Gaba

Electronic Theses and Dissertations

No abstract provided.

Industry Update October 2022, Elaine Harris

Articles

Company news Bend Bioscience invests in expansion of drug-delivery capabilities Bend Bioscience (OR, USA) and NovaQuest Private Equity, have announced plans on 11 October 2022 to invest in a new facility in Bend, Oregon. The group will focus on developing new R&D partnerships, and early phase manufacturing and development activities based on proprietary particle engineering-based drug-delivery technologies. This new facility will consist of approximately 20,000 square feet of laboratory and processing areas and it is anticipated that manufacturing and analytical capabilities will operational by the end of Q2 2023. Announcing the investment decision, Dan Dobry, Bend Bioscience’s co-founder said “We …

Career Handbook, Unlv Career Services

Career Handbook

The job search can be daunting and intimidating, but you are not alone in this journey. As you move into the next stage of your professional career, we want you to know that you have the support of UNLV Career Services, the UNLV Alumni Association, and employers who are part of our Rebel Family. We are here to mentor, guide, and walk you through the job search process, and we are invested in your future.

The road to career success is not always as easy as we might hope. You may encounter setbacks and struggles throughout the next few years, …

One Last Month, Or Clancy's Time-Box, Safiyya Bintali

Calvert Undergraduate Research Awards

One Last Month is a young adult (YA) novella of roughly forty-three thousand words aimed at readers in middle school and in early high school grades. Structurally, it is an “ensemble Bildungsroman”, wherein all the main characters—rather than just one—embark on journeys of emotional growth and are given significant plot focus. Through the characters, One Last Month focuses on the importance and influence of non-romantic love, specifically through homosocial relationships between the novella’s male characters. It also touches on the process of grief beyond the Kübler-Ross structure and, though more subtly, emotional expression in young men. Through one of the …

Richard Owen: A Forgotten Icon, Devan Henriott

Calvert Undergraduate Research Awards

Despite being one of the most famous naturalists of the nineteenth century, Richard Owen is an obscure figure today. This paper delves into how such an influential person to the beginnings of paleontology and biology could have been written out of history. Owen worked his way into the world of comparative anatomy by finding work at the Hunterian Museum. From there, Owen earned respect for his exciting lectures on fossil discoveries and for his research interpreting fossils and reconstructing extinct species. Owen utilized his renown to spread his theories on the creations of species, but mostly kept his evolutionary ideas …

The Role Of Machine Learning And Network Analyses In Understanding Microbial Composition In An Experimental Prairie, Ali Eastman Oku

Graduate Research Theses & Dissertations

Machine learning and network analyses are powerful modern tools can process and map out connections between large amount of ecological data from complex environmental communities. Random forests, an ensemble machine learning algorithm, are particularly powerful as they can capture complex patterns in data while remaining easily interpretable. These tools are specifically useful in experimental settings where different types of data are collected. The aim of this study was to demonstrate the utility of machine learning models and network analyses at analyzing diverse ecological data from dynamic plant-soil microbial communities in a prairie ecosystem. Our experimental system is an experimental prairie …

Children's Evaluations Of Observable Vs. Unobservable Properties During Scientific Reasoning, Taneisha Vilma

Graduate Research Theses & Dissertations

Science inquiry involves reasoning and drawing conclusions about properties or constructs that may not be directly observed and are not immediately verifiable. Prior scientific reasoning investigations have examined children’s reasoning about observable items and immediately verifiable conclusions. The current investigation examined children’s evaluations of the certainty of conclusions drawn from evidence when reasoning about both immediately observable properties and unobservable properties with the same task. Kindergarten, first grade, third grade, and adult participants (N = 70) were presented with an online experimental procedure. The procedure included two conditions (Observable vs. Unobservable) each involved reasoning about three levels of evidence (conclusive …

The Discovery And Characterization Of Novel Potent 5-Substituted 3, 3’, 4’, 7-Tetramethoxyflavonoid Dna Triplex Specific Binding Ligands, Vanessa Marie Rangel

University of the Pacific Theses and Dissertations

Chemotherapy works by killing fast dividing cells. Unfortunately, these drugs are not specific to cancer tissue and can damage normal cells. Chemotherapy is like taking poison and hoping it kills the cancer cells before it kills you. As an alternative, many researchers have investigated the use of antigene therapy to selectively target cancer causing genes to avoid off target effects. Although promising, the theory is limited by the stability of the triplex structure. Here, we report the discovery of potent triplex binding ligands derived from the natural product quercetin. Chemical derivatives of 5-substituted 3, 3’, 4’, 7-tetramethoxyquercetin derivatives were characterized …

The Characteristics Of Senior Leadership Teams In High Performing Western Australian Catholic Composite And Secondary Schools, Daniel Michael Groenewald

Theses

The purpose of this research was to explore the perceptions of principals, senior leadership team members, and middle leaders regarding the characteristics of senior leadership teams (SLTs) in high-performing Catholic Education Western Australian composite and secondary schools (CCSS). The study investigated the characteristics that enhanced and inhibited SLTs. It explored the resources and professional learning that could improve SLTs and the role of the principal in the SLT. This research is the first study of SLTs in CCSS.

The study's literature review identified six areas of literature that formed the conceptual framework of this thesis. These six areas were: the …

The Other Beginning Of Thinking: Heidegger And Neoplatonism, Emile Alexandrov

Theses

This thesis establishes an “other beginning” for thinking by repositioning Plato and Neoplatonism in Heidegger’s history of metaphysics. The thesis achieves this by revising Heidegger’s interpretation of Plato and retrieving Neoplatonist approaches to non-discursive thinking, corresponding to some of Heidegger’s post-turn concerns. The thesis begins by justifying the adoption of Heidegger’s “two beginnings” idea and illustrating what I label the “fundamentals of truth of the first beginning,” which Heidegger used to envision the other beginning of thinking. The fundamentals of truth inform Heidegger’s reading of Hölderlin and the later writings that emerged from the 1950s onwards. The second part re-thinks …

The Perceptions Of Year 5 And 6 Students, Their Teachers And The School Principal Of Their Australian Identity And The School's Role In Developing Students' Australian Identity., Renae Nahajski

Theses

The aim of this qualitative research was to investigate the perceptions of Year 5 and 6 students, their teachers and the school principal of their Australian identity and the school’s role in the development of Australian identity. The study explores participants’ perceptions of their own identity and investigates where and when students feel they are taught about Australian identity.

The research also investigates where and when the principal and teachers feel the school develops students’ Australian identity. The review of the literature highlighted three areas that formed the conceptual framework for the study. The three areas were national identity; curriculum; …

Connecting Schools To Communities With Student-Produced Multimodal Compositions, Eric M. Wright

Graduate Student Theses, Dissertations, & Professional Papers

In this paper, I use research on embodied cognition to support learning objectives for a unit that I’ve designed to increase reading comprehension, promote digital citizenship, and provide scaffolding for students to produce digital multimodal compositions. The unit is aligned to English Language Arts Common Core and International Society for Technology in Education (ISTE) standards. I conclude with an argument for schools to focus on transparency over accountability and propose using digital literary magazines that contain the students' multimodal compositions to connect with communities.

Site 48ye2550: Late Paleoindian Occupation At Grebe Lake, Yellowstone National Park, Wyoming, Travis Kern

Graduate Student Theses, Dissertations, & Professional Papers

No abstract provided.

“How Do We Carry All These Stories On Our Backs?” An Investigation Of Violence In Native American Literature As Seen In The Works Of James Welch, Joy Harjo, & Louise Erdrich, Madison R. Hinrichs

Graduate Student Theses, Dissertations, & Professional Papers

No abstract provided.

Monstrous Oil: Theorizing Petromodernity's Monsters, Madalynn Lee Madigar

Graduate Student Theses, Dissertations, & Professional Papers

Petroleum, a primary global energy resource, serves as a foundation of our contemporary society. However, the pervasive influence of oil as substance, commodity, and industry in our petromodern lives often goes unrecognized. In the present moment of biogeocultural crisis surrounding fossil fuels, recognizing and understanding our multifaceted engagements with petroleum is critical. This thesis contributes to the growing field of Petrocultural Studies by considering the conceptualization of petroleum through the associated tropes and figure of the monster. Through the petromonstrous, a term that encapsulates the massive scale, haunting effects, and human-other entanglements of petroleum, cultural attitudes and anxieties about oil …

Seedy Business: Unveiling Fruit-Frugivore Interactions In Loango National Park, Gabon, Diandra Mary Lewis

Graduate Student Theses, Dissertations, & Professional Papers

Fruit-frugivore interactions within forest ecosystems are intricate and are critical determinants of community structure, function, and composition. Increasing anthropogenic impacts on biodiversity in general and forests in particular highlight the need to better understand these plant-animal relationships. This thesis focuses on connections between fruit-bearing plants and the animals that eat their fruits in a relatively undisturbed rainforest in Gabon. The work combines two studies: one scrutinising fruit trait clustering, and the other delving into the difference between using dispersers versus consumers in seed dispersal networks.

In chapter 1, we focused on fruit traits and how they group together in order …

A Preliminary Evaluation Of The Effects Of Unfamiliar Music And Focus On Mood, Hailey Holland, Yasuhiro Ozuru, Mychal A. Machado

Modern Psychological Studies

In this study researchers evaluated whether self-reported moods would be differentially affected by the focus of attention (i.e., focusing on the music vs. focusing on one’s own mood), and whether unfamiliar music from different periods would differentially affect reported moods. Participants (N = 75) were assigned to two focus conditions randomly and filled out the Brief Mood Introspection Scale (BMIS) while listening to nine music selections representing three different musical periods. Results showed that focusing on music rather than one’s own internal mood elicited a higher magnitude of mood responses, and that people tended to experience differences in mood as …

The Relationship Between Autism And Suicide: Risk Factors And Potential Mitigation Strategies, Derica J. Su, Tanya L. Procyshyn

Modern Psychological Studies

Suicide is a major problem worldwide, but individuals with autism may be at particular risk due to multiple factors—perceived burdensomeness, thwarted belonging, and capability for suicide, according to the IPTS model for suicidality as modified by Pelton and Cassidy (2017). This article focuses on these three factors and proposes a new feature of the model: the intersection between perceived burdensomeness and thwarted belonging. Existing suicide support mechanisms for young adults with autism without intellectual disability that target the main components of the model will be critiqued, and areas for further improvement will be suggested. Potential areas for future inquiry may …

Mentoring Deep Learning Models For Mass Screening With Limited Data, Suprim Nakarmi

Dissertations and Theses

Deep Learning (DL) has an extensively rich state-of-the-art literature in medical imaging analysis. However, it requires large amount of data to begin training. This limits its usage in tackling future epidemics, as one might need to wait for months and even years to collect fully annotated data, raising a fundamental question: is it possible to deploy AI-driven tool earlier in epidemics to mass screen the infected cases? For such a context, human/Expert in the loop Machine Learning (ML), or Active Learning (AL), becomes imperative enabling machines to commence learning from the first day with minimum available labeled dataset. In an …