Digital Commons Network^™

Teen Appeal, Memphis, 14:08, 2011

Documents

Issue 14.8 of the "Teen Appeal" published by the University of Memphis Journalism Department and Commercial Appeal, Memphis, Tennessee, on May 3, 2011.

Teen Appeal, Memphis, 15:07, 2012

Documents

Issue 15.7 of the "Teen Appeal" published by the University of Memphis Journalism Department and Commercial Appeal, Memphis, Tennessee, on April 3, 2012.

Teen Appeal, Memphis, 16:04, 2012

Documents

Issue 16.4 of the "Teen Appeal" published by the University of Memphis Journalism Department and Commercial Appeal, Memphis, Tennessee, on December 4, 2012.

Using Music To Teach Math In Middle School, James D. Walsh, Bridget K. Coleman

South Carolina Association for Middle Level Education Journal

Music is an effective tool to use in the middle school classroom. Music is engaging, makes learning memorable, and can help relieve anxiety. Music can be connected to math in many different ways. Lyrics, melodies, and movement can be used to enhance learning. Students can learn the quadratic formula song to help with procedural memory; they can identify fractions in musical composition and notation; and they can write class songs to help retain information.

Shaking Up Assessment: Integrating Low And High Technology Tools, Lenessa Clark, Erin Besser

South Carolina Association for Middle Level Education Journal

Assessment is an important component of education because it communicates whether the academic goals are met within a class. Generally, assessments offer opportunities for educators to target their teaching goals and to measure the extent to which the expected goals are attained (Madani, 2016). Incorporating the right technology provides opportunities to enhance teaching and learning. This article presents several low- and high-tech tools that middle grades educators can integrate into their instructional practice as a developmentally responsive way to facilitate the assessment process.

Tennessee Educator Survey 2023 Overview, Tennessee. Department Of Education.

Tennessee Educator Survey

No abstract provided.

Investigating Visinin-Like Protein 1 And Ubiquitinated Visinin-Like Protein 1 As Mild Traumatic Brain Injury Biomarkers, Yueming Wu

Theses and Dissertations--Chemistry

Traumatic brain injury (TBI) continues to be a significant cause of morbidity and mortality worldwide. Despite significant progress in understanding the complex pathophysiology of TBI, the underlying mechanisms remain poorly understood. The primary brain damage is acute and irreversible. However, secondary brain injuries often develop gradually over months to years, creating an opportunity for critical therapeutic interventions. In the past decade, research on TBI biomarkers has seen significant progress. This progress has been driven by the diverse nature of TBI pathologies and the challenges they present for evaluation, management, and prognosis. TBI biomarker proteins resulting from axonal, neuronal, or glial …

Trenholm, H. Council, Msrc Staff

Manuscript Division Finding Aids

The papers of H. Councill Trenholm (1900-1963), college president and educational official, span the period from 1882 to 1964, and measure thirty-four linear feet. H. Councill Trenholm headed Alabama State College1 for thirty-seven years. The collection focuses on his role at Alabama State and his involvement in numerous educational organizations.

Role-Reversibility, Ai, And Equitable Justice — Or: Why Mercy Cannot Be Automated, Stephen E. Henderson, Kiel Brennan-Marquez

Faculty Articles

A few years ago, we developed the concept of “role-reversibility” in AI governance: the idea that it matters whether a party exercising judgment is reciprocally vulnerable to the effects of judgment. This idea, we argued, supplies a deontic reason to maintain certain spheres of human judgment even if (or when) truly intelligent machines become demonstrably superior in every utilitarian sense. While computer science remains far from that holy grail, generative AI is raging through systems as diverse as healthcare, finance, advertising, law, and academe, making it imperative to further shore up our claim. We do so by situating role-reversibility within …

Ground Risk Model For Uavs, Andrew V. Shelley

International Journal of Aviation, Aeronautics, and Aerospace

This paper develops an alternative to the ground risk model provided by JARUS SORA. Key inconsistencies in the SORA ground risk model are identified, specifically ground risk continuing to increase when there is no further increase in fatality probability.

Population density is a critical component of UAS ground risk. Definitions of population density adopted by various regulatory jurisdictions are reviewed. A categorisation of population density is developed based on official statistics categories for New Zealand. This categorisation is more granular than that provided by SORA, enabling a more nuanced assessment of risk.

A ground risk model is then developed using …

Testing Backward Chaining Ab-Initio Flight Instruction, Samuel M. Vance, Kat Gardner-Vandy Phd, Brendan A. Pearce

International Journal of Aviation, Aeronautics, and Aerospace

This conceptual/exploratory research updates that previously published in the Journal of Aviation/Aerospace Education and Research (JAAER) Vol. 30, Issue 1 (Spring 2021) which asked if backward chaining, ab-initio pilot training decrease time to first solo? The specific focus of the research was the viability of landings instruction as the first ab-initio lesson. The research compared a total of eight respondents in a backward-chained flight instruction methodology against four respondents in a forward-chained flight instruction methodology. All 12 respondents were recruited without previous flight instruction or Pilot-in-Command logged flight time. Ground instruction preceded simulator instruction which was followed by instruction in …

Statistical Analysis To Evaluate The Impact Of Quality Control And Quality Assurance On The Aircraft Maintenance Turnaround Time, Deepak Chandra Chandola, Seema Verma, Kamal Jaiswal, Rajendrra Prasad Khaolliya, Preeti Chandola

International Journal of Aviation, Aeronautics, and Aerospace

The turnover time for aircraft maintenance is crucial for the operational efficiency and profitability of airlines. Quality assurance (QA) and quality control (QC) procedures play a role in assuring the safe and reliable operation of aircraft. The purpose of this paper is to evaluate the impact of QC and QA on turnover time and to propose strategies for achieving a balance between quality and efficiency. A large-scale survey of airline and aviation maintenance organization maintenance staff was combined with a literature study to form a mixed-methods strategy. The findings indicate that quality control and quality assurance have a substantial impact …

Enhancing Trajectory-Based Operations For Uavs Through Hexagonal Grid Indexing: A Step Towards 4d Integration Of Utm And Atm, Deepudev Sahadevan Neelakandan, Hannah Al Ali

International Journal of Aviation, Aeronautics, and Aerospace

Aviation is expected to face a surge in the number of manned aircraft and drones in the coming years, making it necessary to integrate Unmanned Aircraft System Traffic Management (UTM) into Air Traffic Management (ATM) to ensure safe and efficient operations. This research proposes a novel hexagonal grid-based 4D trajectory representation framework for unmanned aerial vehicle (UAV) traffic management that overcomes the limitations of existing square/cubic trajectory representation methods. The proposed model employs a hierarchical indexing structure using hexagonal cells, enabling efficient ground based strategic conflict detection and conflict free 4D trajectory planning. Additionally, the use of Hexagonal Discrete Global …

An International Perspective On The Connotation, Framework, And Development Strategies Of Teacher Digital Literacy, Junfeng Diao, Xiaoqi Tang, Xinyan Ma, Xu Ding

Journal of Educational Technology Development and Exchange (JETDE)

With the rapid advancement of technology, digital competence has become a crucial aspect of professional development for educators. This article reviews relevant literature and summarizes the connotation, framework, and development strategies of teacher digital literacy in different countries. The aim is to promote the professional growth of teachers in the digital age, encouraging each educator to continually strive for “Excellence in teaching”. Furthermore, this research seeks to identify digital literacy development strategies and practices for various types of teachers.

A Computational Model Of Trust Based On Dynamic Interaction In The Stack Overflow Community, Patrick O’Neill

Dissertations

A member’s reputation in an online community is a quantified representation of their trustworthiness within the community. Reputation is calculated using rules-based algorithms which are primarily tied to the upvotes or downvotes a member receives on posts. The main drawback of this form of reputation calculation is the inability to consider dynamic factors such as a member’s activity (or inactivity) within the community. The research involves the construction of dynamic mathematical models to calculate reputation and then determine to what extent these results compare with rules-based models. This research begins with exploratory research of the existing corpus of knowledge. Constructive …

Application Of Shallow Neural Networks To Retail Intermittent Demand Time Series, Urko Allende

Dissertations

Accurate sales predictions are essential for businesses in the fast-moving consumer goods (FMCG) industry. However, their demand forecasts are often unreliable, leading to imprecisions that affect downstream decisions. This dissertation proposes using an artificial neural network to improve intermittent demand forecasting in the retail sector. The research investigates the validity of using unprocessed historical information, eluding hand-crafted features, to learn patterns in intermittent demand data. The experiment tests a selection of shallow neural network architectures that can expedite the time-to-market in comparison to conventional demand forecasting methods. The results demonstrate that organisations that still rely on manual and direct forecasting …

Modelling And Mitigating Interlocutor Confusion In Situated Human-Avatar And Human-Robot Interaction, Na Li

Dissertations

Human-Robot Interaction (HRI) is an important but challenging field focused on improving the interaction between humans and robots, to make the interaction more intelligent and effective. However, building a natural conversational HRI is an interdisciplinary challenge for scholars, engineers, and designers. Achieving successful conversational interaction with a social robot necessitates not only observing a user’s active participation in the interaction but also being aware of their emotional and attitudinal states as the interaction progresses. On the topic of attitudinal states, one field that has received little attention to date is monitoring the user for possible confusion states. Confusion is a …

When Chatgpt Goes Rogue: Exploring The Potential Cybersecurity Threats Of Ai-Powered Conversational Chatbots, Farkhund Iqbal, Faniel Samsom, Faouzi Kamoun, Áine Macdermott

All Works

ChatGPT has garnered significant interest since its release in November 2022 and it has showcased a strong versatility in terms of potential applications across various industries and domains. Defensive cybersecurity is a particular area where ChatGPT has demonstrated considerable potential thanks to its ability to provide customized cybersecurity awareness training and its capability to assess security vulnerabilities and provide concrete recommendations to remediate them. However, the offensive use of ChatGPT (and AI-powered conversational agents, in general) remains an underexplored research topic. This preliminary study aims to shed light on the potential weaponization of ChatGPT to facilitate and initiate cyberattacks. We …

Complete Study Of An Original Power-Exponential Transformation Approach For Generalizing Probability Distributions, Mustafa S. Shama, Farid El Ktaibi, Jamal N. Al Abbasi, Christophe Chesneau, Ahmed Z. Afify

All Works

In this paper, we propose a flexible and general family of distributions based on an original power-exponential transformation approach. We call it the modified generalized-G (MGG) family. The elegance and significance of this family lie in the ability to modify the standard distributions by changing their functional forms without adding new parameters, by compounding two distributions, or by adding one or two shape parameters. The aim of this modification is to provide flexible shapes for the corresponding probability functions. In particular, the distributions of the MGG family can possess increasing, constant, decreasing, “unimodal”, or “bathtub-shaped“ hazard rate functions, which are …

Future Directions Of Space Education, Kimberly T. Luthi Dr., Andy Aldrin, Keith Wilson, Jim P. Solti

International Journal of Aviation, Aeronautics, and Aerospace

The future of space operations graduate education is reliant on industry leaders’ contributions to help forecast the needs of the industry. The aim of the current study is to build consensus on the future direction of the space industry and generate new knowledge on what the industry expects to occur in the future of space studies education. This study documents the responses of 14 industry experts who currently or previously held highly visible senior leadership positions in a company or organization within the government or the commercial space industry and have extensive experience in a variety of management and leadership …

Is Environmental Salvage An Oxymoron? A Law And Economics Analysis, Michael Faure, Haiyang Yu

Journal of Maritime Law and Commerce

No abstract provided.

Long-Range Aceo Phenomena In Microfluidic Channel, Diganta Dutta, Keifer Smith, Xavier Palmer

Electrical & Computer Engineering Faculty Publications

Microfluidic devices are increasingly utilized in numerous industries, including that of medicine, for their abilities to pump and mix fluid at a microscale. Within these devices, microchannels paired with microelectrodes enable the mixing and transportation of ionized fluid. The ionization process charges the microchannel and manipulates the fluid with an electric field. Although complex in operation at the microscale, microchannels within microfluidic devices are easy to produce and economical. This paper uses simulations to convey helpful insights into the analysis of electrokinetic microfluidic device phenomena. The simulations in this paper use the Navier–Stokes and Poisson Nernst–Planck equations solved using COMSOL …

Digital Transformation, Applications, And Vulnerabilities In Maritime And Shipbuilding Ecosystems, Rafael Diaz, Katherine Smith

VMASC Publications

The evolution of maritime and shipbuilding supply chains toward digital ecosystems increases operational complexity and needs reliable communication and coordination. As labor and suppliers shift to digital platforms, interconnection, information transparency, and decentralized choices become ubiquitous. In this sense, Industry 4.0 enables "smart digitalization" in these environments. Many applications exist in two distinct but interrelated areas related to shipbuilding design and shipyard operational performance. New digital tools, such as virtual prototypes and augmented reality, begin to be used in the design phases, during the commissioning/quality control activities, and for training workers and crews. An application relates to using Virtual Prototypes …

Architectural Design Of A Blockchain-Enabled, Federated Learning Platform For Algorithmic Fairness In Predictive Health Care: Design Science Study, Xueping Liang, Juan Zhao, Yan Chen, Eranga Bandara, Sachin Shetty

VMASC Publications

Background: Developing effective and generalizable predictive models is critical for disease prediction and clinical decision-making, often requiring diverse samples to mitigate population bias and address algorithmic fairness. However, a major challenge is to retrieve learning models across multiple institutions without bringing in local biases and inequity, while preserving individual patients' privacy at each site.

Objective: This study aims to understand the issues of bias and fairness in the machine learning process used in the predictive health care domain. We proposed a software architecture that integrates federated learning and blockchain to improve fairness, while maintaining acceptable prediction accuracy and minimizing overhead …

Threshold For Learning: The Case For Prioritizing The In-Between Spaces In Education, Xiaodi Zhou

Bilingual and Literacy Studies Faculty Publications

In this paper, the author analyses learning as a function of the threshold between parties and ideas. Using Bakhtinian dialogic theory, literacy learning in particular is envisioned as a dialogue of the threshold. This instructional threshold is viewed both in pedagogical and biological terms. The physiological process of learning is described, making a biological case for instructional scaffolding and the gradual release of responsibility in the classroom. The dialogue of different disciplines serves as integration of several thresholds and further strengthening of learning. Curriculum integration is then promoted as a means to lasting learning.

Lawyering Somewhere Between Computation And The Will To Act: A Digital Age Reflection, Jeffrey M. Lipshaw

Suffolk University Law School Faculty Works

This is a reflection on machine and human contributions to lawyering in the digital age. Increasingly capable machines can already unleash massive processing power on vast stores of discovery and research data to assess relevancies and, at times, to predict legal outcomes. At the same time, there is wide acceptance, at least among legal academics, of the conclusions from behavioral psychology that slow, deliberative “System 2” thinking (perhaps replicated computationally) needs to control the heuristics and biases to which fast, intuitive “System 1” thinking is prone. Together, those trends portend computational deliberation – artificial intelligence or machine learning – substituting …

The Phantasm Of Principle, Wilfred Codrington Iii

Faculty Scholarship

No abstract provided.

Criminal Terms, Anna Roberts

Faculty Scholarship

No abstract provided.

Rational Contract Design, Naveen Thomas

Faculty Scholarship

No abstract provided.

Accucalc: A Python Package For Accuracy Calculation In Gwas, Jana Biová, Nicholas Dietz, Yen On Chan, Trupti Joshi, Kristin Bilyeu, Mária Škrabišová

Biomedical Sciences

The genome-wide association study (GWAS) is a popular genomic approach that identifies genomic regions associated with a phenotype and, thus, aims to discover causative mutations (CM) in the genes underlying the phenotype. However, GWAS discoveries are limited by many factors and typically identify associated genomic regions without the further ability to compare the viability of candidate genes and actual CMs. Therefore, the current methodology is limited to CM identification. In our recent work, we presented a novel approach to an empowered “GWAS to Genes” strategy that we named Synthetic phenotype to causative mutation (SP2CM). We established this strategy to identify …