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The Shorthorn: February 23, 1983

The Shorthorn Newspaper Collection: 1980s

No abstract provided.

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The Shorthorn: February 24, 1983

The Shorthorn Newspaper Collection: 1980s

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The Shorthorn: February 15, 1983

The Shorthorn Newspaper Collection: 1980s

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The Shorthorn: February 11, 1983

The Shorthorn Newspaper Collection: 1980s

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The Shorthorn: January 27, 1983

The Shorthorn Newspaper Collection: 1980s

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The Shorthorn: January 28, 1983

The Shorthorn Newspaper Collection: 1980s

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The Shorthorn: January 25, 1983

The Shorthorn Newspaper Collection: 1980s

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The Shorthorn: November 23, 1982

The Shorthorn Newspaper Collection: 1980s

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The Shorthorn: November 17, 1982

The Shorthorn Newspaper Collection: 1980s

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Teachers’ Awareness Of Family Engagement In Multilingual Education, Sedighe Zamani Roodsari

Journal of Multicultural Affairs

This study investigated public school teachers’ awareness of family engagement as a linguistic and cultural resource for multilingual students. Multilinguals are typically described as individuals who can communicate in more than one language, with English not being their native language, and their linguistic choices are influenced by societal norms and systems (Šifrar Kalan et al., 2024; Wei, 2008). Preparing pre-service teachers to enhance opportunities for multilingual students remains a critical need in teacher education programs, as they strive to move beyond monolingual ideologies in their teaching practices (Cárdenas Curiel et al., 2024; Kim & Choi, 2020; Williams & Ewing, 2019). …

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Afakasi: An Ambiguous Space In A Monolithic Education System, Jacqueline F. Buckley

Journal of Multicultural Affairs

Throughout American history, examinations of ethnicity have mainly focused on a binary of Black and White (White, 2007, p. 339). Little study has been conducted on the nation's ethnic minorities, including Arabs, Jews, Asians, Micronesians, Melanesians, and Polynesians. The White race has effectively become the nation's default race (Khoshneviss, 2018, p. 19). Furthermore, research on the experiences of individuals of mixed ethnicity, particularly in education, remains limited. This study will uncover the mixed-ethnic Afakasi (half Samoan and half White) experience of myself as an educator who lived through and taught within the American K-12 system, experiencing the status quo curriculum …

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Sustainable Product Design Powered By Artificial Intelligence In Light Of The Future Thinking-Oriented Design Methodology "Triple-I", Mai Mohamed Abou Elyazed

Journal of Art, Design and Music

This research examines the integrative relationship between sustainable product design and generative artificial intelligence (AI), with particular emphasis on the “Triple- I” methodology as an innovative framework for combining sustainability principles with intelligent technologies. The study is grounded in the concept of sustainable design guided by the Triple Bottom Line approach and aligned with selected Sustainable Development Goals (SDGs), aiming to explore how generative AI can contribute to environmentally, socially, and economically responsible product development. The research problem stems from the observation that, despite the significant potential of generative AI to enhance innovation, its integration with sustainable design remains methodologically …

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Automated Creative Evaluation Based On Multimodal Ai For Facebook Reels Ads Using Chatgpt, Mohamed Zakaria Soltan

Journal of Art, Design and Music

This work presents a useful multimodal analytical method for automating the creative evaluation of Facebook's Reel ads through the use of ChatGPT. Nowadays, brief ads in digital spaces need to evoke an emotional response from viewers in order to grab their attention. Traditional techniques of evaluating creativity might not be reliable, scalable, or fair. To encourage quantifiable and repeatable innovations, this paper lays forth a method for combining time, space, sound, and motion into a scientifically solid framework. The suggested multimodal analytical framework is utilized. This work explores the themes of time, motion, color, and music. The study utilized notable …

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An Overlooked Terrestrial Archive: Freshwater Cements And Hydroclimate Signals In Quaternary Glaciogenic Deposits, Owen F. Mccaffrey, Ian Z. Winkelstern, Tara A. Kneeshaw, Melinda C. Higley

University Faculty Publications and Creative Works

Quaternary glaciogenic deposits, which serve as vital groundwater aquifers, are often partially cemented with carbonate minerals, but the timing of emplacement of these cements and their geochemical conditions of formation remain understudied. Here, we integrated petrography, δ¹⁸O, Mg/Ca, and clumped isotope (Δ₄₇) data from two calcitecemented outcrops in western Michigan (USA) to investigate the origin of glacial sediment cements. The two sites have contrasting topographic and textural settings reflecting distinct formation conditions. The elevated Wabasis Lake deposit records sequential phreatic-to-vadose cementation, while the Cherry Valley Sands site, very close to the modern water table, shows a …

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Rural U.S. Midwestern Kindergarten Through Grade 5 Elementary Teachers’ Experiences With 3d Science Instruction, Janine L. Sankar

Walden Dissertations and Doctoral Studies

No abstract provided.

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Analysis Of The Formation And Structure Of Protective Films In Sustainable Ionic Liquid Lubricants, Brendan Mahoney

Theses

Friction losses and wear of sliding components account for nearly one quarter of global energy consumption. Developing new lubricants to reduce these losses is essential for a more cost-effective and sustainable future. The automotive industry offers the greatest economic potential for new tribological discoveries, as it affects billions of people around the world. A significant portion of the friction losses in automobiles are due to the reciprocating motion in the engine, which leads to metal-on-metal contact. Ionic liquids have emerged as novel lubricants and additives due to their ability to form protective surface layers on metals, reducing friction and wear. …

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Binding Energy Of Muonic Beryllium: Perturbative Versus All-Order Calculations, Shikha Rathi, Ulrich D. Jentschura, Paul Indelicato, Ben Ohayon

Physics Faculty Research & Creative Works

We compute the ground-state binding energy of muonic (Formula presented) (Formula presented) Be in two ways: first, the fully perturbative treatment of the nuclear-size effect often employed in light systems, and second, an approach that accounts for the finite-nuclear-size to all orders (and is inspired by calculations otherwise employed for heavy muonic ions). The results are compared term by term and show that both approaches agree to better than one part-per-million of the total energy. The objective of this work is twofold. The first is practical: to provide a parameterization that allows the extraction of the (Formula presented) (Formula presented) …

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Trustworthy Reinforcement Learning And Communication-Efficient Multi-Agent Systems, Rui Zuo

Dissertations - ALL

The rapid proliferation of autonomous systems, such as Unmanned Aircraft Systems (UAS) transitioning to large-scale Beyond Visual Line of Sight (BVLOS) operations, demands a paradigm shift toward reliable, transparent, and resilient autonomy. While Deep Reinforcement Learning (DRL) and Multi-Agent Reinforcement Learning (MARL) have demonstrated exceptional capabilities in complex decision-making and coordination, their real-world deployment in safety-critical domains is hindered by two fundamental challenges. First, the opaque, "black-box" nature of DRL models prevents human operators from understanding and trusting the agents' underlying logic. Second, as multi-agent operations scale, they become severely constrained by the stochastic link qualities and strict bandwidth limitations …

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Atropisomer Mechanochemistry Of Diarylethene Mechanophores: A Study Of Structure-Mechanical Activity Relationships, Cijun Zhang

Dissertations - ALL

Stimuli-responsive organic structures are advanced, intelligent platforms that dynamically adjust their physical or chemical properties—such solubility, or color—in response to external stimuli including light, heat, pH, redox conditions, mechanical force, or magnetic fields. Among these structures, mechanophores represent an important class that is specifically responsive to mechanical force. Synthetic mechanophores can be rationally engineered to exhibit tunable mechanosensitivity as well as tailored chemical and physical properties. In this work, we designed and synthesized a type of atropisomeric mechanophores based on sterically congested diarylethene photoswitches, and systematically investigated their mechanical and photochemical properties. Chapter 1 Chapter 1 provides a general introduction …

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Clinical Designs For Two Dependent Binary Endpoints In Comparison With A Control, Chishu Yin

Dissertations - ALL

This dissertation studies clinical trial designs for comparing multiple experimental treatments with a control when each treatment is evaluated using two possibly dependent binary endpoints, typically efficacy and safety. Motivated by the growing importance of multi-endpoint decision making in clinical research, the dissertation develops exact ranking-and-selection procedures that avoid large-sample normal approximations and instead rely on exact probability calculations. Throughout, dependence between the two endpoints within a treatment arm is accommodated through an odds-ratio-based framework, and the underlying computations are carried out using bivariate binomial and quadrinomial distributions. After an introductory chapter that reviews the methodological background and motivates treatment …

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Scaling Logical Reasoning On Modern Hpc Hardware, Yihao Sun

Dissertations - ALL

Deductive logic reasoning has evolved from a theoretical symbolic artificial intelligence tool into a massive computational workload. Modern domains, ranging from static program analysis and binary reverse engineering to knowledge-graph reasoning, rely on Datalog, a logical query language, to express deeply recursive, declarative specifications. However, scaling logic reasoning to these industrial workload exposes two interlocking ceilings in traditional engines. Architecturally, the memory bandwidth and parallel throughput of single-node CPUs fall drastically short of the read- and write-heavy demands of semi-naive evaluation. Asymptotically, traditional query processing algorithms, such as binary join algorithms generate massive intermediate relations that exhaust device memory on …

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Sequential Subset Selection From Binomial Populations: Early Stopping, Randomized Calibration, And Adaptive Elimination, Yifang Zhang

Dissertations - ALL

This dissertation studies sequential subset selection from binomial populations under a frequentist framework. Building on the classical subset selection framework of Gupta and Sobel and later sequential developments, it develops a sequence of refinements designed to improve subset selection efficiency while preserving the required probability of correct selection. The first contribution is a curtailed subset selection procedure that allows sampling to stop once the current leader can no longer be overtaken. The second contribution is a randomized calibration that reduces conservatism caused by the discreteness of the selection threshold and improves the balance between selection accuracy and efficiency. The third …

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On The Extension Conjecture For Koszul Algebras, Benjamin Kaufman

Dissertations - ALL

We investigate questions related to the extension conjecture for finite-dimensional algebras. Suppose $\Lambda = \kk Q/I$ is a finite-dimensional algebra given by a quiver with relations. The extension conjecture asserts that if $S$ is a simple right $\Lambda$-module corresponding to a vertex with a loop, that is, $\Ext_\Lambda^1(S,S)\neq 0$, then $\Ext^n_\Lambda(S,S)\neq 0$ for infinitely many $n$. We show that one can obtain information about the non-vanishing of the extensions $\Ext^n_\Lambda(S,S)$ by looking at the graded Cartan matrix and its inverse. We use this connection to prove the extension conjecture for standardly graded $\kk$-algebras on two vertices with Loewy length at …

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A Comparative Study Of Attitudes Towards Trust In Ai And Ethics In Ai Between Indian International Students And American Students In The Us Universities, Niraj Sitaula

Dissertations - ALL

This dissertation shows that Indian international students studying AI in the US universities have different attitudes towards trust in AI and ethics in AI compared to American students studying AI in the US universities. This dissertation used the survey method and examined 447 survey responses from Indian international students and American students from 97 universities in the US. Trust in AI was analyzed with three constructs of trust: dispositional trust, functionality trust, and institutional trust. Likewise, the attitude towards ethics in AI was examined using three constructs: the importance of ethical principles for AI, attitude towards transparency in AI, and …

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Using Low-Frequency Vibrational Spectroscopy To Develop Analytical Profiles For Polymorphic Organic Molecular Crystals, Salvatore Zarrella

Dissertations - ALL

Low-frequency vibrational spectroscopy provides a sensitive approach for characterizing polymorphism and intermolecular dynamics in organic molecular crystals. Terahertz time-domain spectroscopy (THz-TDS) and low-frequency Raman spectroscopy probe collective lattice vibrations arising from weak intermolecular interactions, offering direct insight into crystal packing, phase stability, and structural organization that is often inaccessible to conventional diffraction and mid-infrared techniques. To interpret these modes, experimental measurements are combined with periodic solid-state density functional theory (ss-DFT), which enables vibrational assignments to specific intermolecular motions, and crystal structure prediction (CSP), which maps accessible polymorphic energy landscapes. Together, these methods form a unified experimental–computational framework for understanding molecular …

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Agentic Ai-Enabled Physics-Informed Machine Learning Framework For Intelligent Building Modeling, Control, And Automation, Zixin Jiang

Dissertations - ALL

Buildings account for a significant share of global energy consumption, and meeting the 2050 net-zero decarbonization targets requires retrofitting approximately 10,000 buildings per day in the United States alone. However, current human-centered workflows for building modeling, simulation, control, and operation remain too slow and labor-intensive to support deployment at this scale. This dissertation proposes an integrated two-pillar framework consisting of a physics-informed machine learning framework for integrated building modeling, control, and simulation, and a multi-agent agentic AI framework for automating building energy engineering workflows built on top of that foundation. The first pillar introduces a Physics-Informed Modularized Neural Network (PI-ModNN) …

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(R2077) Enhancing Queue Management: Dynamic Server Allocation And Optional Services In Stochastic Modeling, G. Ayyappan, S. Sankeetha

Applications and Applied Mathematics: An International Journal (AAM)

Consider a queueing system with a single server, where customer arrivals follow a Markovian arrival process and service times follow a phase-type distribution. The main server has the capability to recruit an additional server when the number of customers in the system exceeds a certain threshold, denoted as L. Both servers provide normal service to customers, and optional service is provided upon request. The main server takes multiple vacations, with the durations following an exponential distribution with rate parameter η, until there is at least one customer in the system. This system can be represented as a Markov chain process, …

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(R2142) Queueing System With Batched Services, Server-Controlled Re-Service, Set-Up Time And Multiple Vacation, S. Karpagam, N. Aarthy, B. Somasundaram

Applications and Applied Mathematics: An International Journal (AAM)

To analyze a bulk queueing system with server-controlled admission for reservice, low-batch service, multiple vacation and set-up time. The study explores how the server dynamically adjusts between low-batch and bulk services based on the queue size. After completing a bulk service, the departing batch may request reservice with a certain probability. However, accepting the request is not mandatory, and the server admits it with some probability. Whenever the queue becomes empty, whether after reservicing, completing service with no reservice request, or ending the low-batch service, the server enters a random-length vacation. If the queue still has less than ‘a’ customers …

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(R2072) A Method To Sample From Transition Densities Of Diffusion Processes With Unknown Densities, Yasin Kikabi, Juma Kasozi

Applications and Applied Mathematics: An International Journal (AAM)

In this paper, we present a reliable method that can be used to sample paths of a diffusion process described by a system of stochastic differential equations. These are types of processes whose transition density is not known in closed form. This reliable method involves solving a partial differential equation of the Fokker-Planck type by rejection sampling techniques applied to the associated densities. We then use the novel method to sample from the Ornstein-Uhlenbeck (OU) process whose transition density is known and has unbounded drift. The results obtained compare excellently with the analytical results, thus rendering the method reliable and …

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(R2174) A Stationary First-Order Autoregressive Process With New Discrete Lindley Marginal Distribution, Tégawendé Martin Kabore, Jean-Etienne Ouindllassida Ouédraogo

Applications and Applied Mathematics: An International Journal (AAM)

This paper introduces a new stationary first-order autoregressive integer-valued process with a marginal distribution following the New Discrete Lindley distribution, referred to as NDLINAR( 1). The process is developed to model over-dispersed count time series exhibiting a mixed behavior arising from the combination of multiple distributions. Its statistical properties are thoroughly investigated, and the parameters are estimated using conditional maximum likelihood. The asymptotic properties of the estimators are also analyzed. The performance of the proposed model is evaluated by comparing it with other existing INAR(1) processes through applications to real datasets. Results demonstrate that the NDL-INAR(1) process effectively captures the …

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Full-Text Articles in Entire DC Network

The Shorthorn: February 23, 1983

The Shorthorn Newspaper Collection: 1980s

The Shorthorn: February 24, 1983

The Shorthorn Newspaper Collection: 1980s

The Shorthorn: February 15, 1983

The Shorthorn Newspaper Collection: 1980s

The Shorthorn: February 11, 1983

The Shorthorn Newspaper Collection: 1980s

The Shorthorn: January 27, 1983

The Shorthorn Newspaper Collection: 1980s

The Shorthorn: January 28, 1983

The Shorthorn Newspaper Collection: 1980s

The Shorthorn: January 25, 1983

The Shorthorn Newspaper Collection: 1980s

The Shorthorn: November 23, 1982

The Shorthorn Newspaper Collection: 1980s

The Shorthorn: November 17, 1982

The Shorthorn Newspaper Collection: 1980s

Teachers’ Awareness Of Family Engagement In Multilingual Education, Sedighe Zamani Roodsari

Journal of Multicultural Affairs

Afakasi: An Ambiguous Space In A Monolithic Education System, Jacqueline F. Buckley

Journal of Multicultural Affairs

Sustainable Product Design Powered By Artificial Intelligence In Light Of The Future Thinking-Oriented Design Methodology "Triple-I", Mai Mohamed Abou Elyazed

Journal of Art, Design and Music

Automated Creative Evaluation Based On Multimodal Ai For Facebook Reels Ads Using Chatgpt, Mohamed Zakaria Soltan

Journal of Art, Design and Music

An Overlooked Terrestrial Archive: Freshwater Cements And Hydroclimate Signals In Quaternary Glaciogenic Deposits, Owen F. Mccaffrey, Ian Z. Winkelstern, Tara A. Kneeshaw, Melinda C. Higley

University Faculty Publications and Creative Works

Rural U.S. Midwestern Kindergarten Through Grade 5 Elementary Teachers’ Experiences With 3d Science Instruction, Janine L. Sankar

Walden Dissertations and Doctoral Studies

Analysis Of The Formation And Structure Of Protective Films In Sustainable Ionic Liquid Lubricants, Brendan Mahoney

Theses

Binding Energy Of Muonic Beryllium: Perturbative Versus All-Order Calculations, Shikha Rathi, Ulrich D. Jentschura, Paul Indelicato, Ben Ohayon

Physics Faculty Research & Creative Works

Trustworthy Reinforcement Learning And Communication-Efficient Multi-Agent Systems, Rui Zuo

Dissertations - ALL

Atropisomer Mechanochemistry Of Diarylethene Mechanophores: A Study Of Structure-Mechanical Activity Relationships, Cijun Zhang

Dissertations - ALL

Clinical Designs For Two Dependent Binary Endpoints In Comparison With A Control, Chishu Yin

Dissertations - ALL

Scaling Logical Reasoning On Modern Hpc Hardware, Yihao Sun

Dissertations - ALL

Sequential Subset Selection From Binomial Populations: Early Stopping, Randomized Calibration, And Adaptive Elimination, Yifang Zhang

Dissertations - ALL

On The Extension Conjecture For Koszul Algebras, Benjamin Kaufman

Dissertations - ALL

A Comparative Study Of Attitudes Towards Trust In Ai And Ethics In Ai Between Indian International Students And American Students In The Us Universities, Niraj Sitaula

Dissertations - ALL

Using Low-Frequency Vibrational Spectroscopy To Develop Analytical Profiles For Polymorphic Organic Molecular Crystals, Salvatore Zarrella

Dissertations - ALL

Agentic Ai-Enabled Physics-Informed Machine Learning Framework For Intelligent Building Modeling, Control, And Automation, Zixin Jiang

Dissertations - ALL

(R2077) Enhancing Queue Management: Dynamic Server Allocation And Optional Services In Stochastic Modeling, G. Ayyappan, S. Sankeetha

Applications and Applied Mathematics: An International Journal (AAM)

(R2142) Queueing System With Batched Services, Server-Controlled Re-Service, Set-Up Time And Multiple Vacation, S. Karpagam, N. Aarthy, B. Somasundaram

Applications and Applied Mathematics: An International Journal (AAM)

(R2072) A Method To Sample From Transition Densities Of Diffusion Processes With Unknown Densities, Yasin Kikabi, Juma Kasozi

Applications and Applied Mathematics: An International Journal (AAM)

(R2174) A Stationary First-Order Autoregressive Process With New Discrete Lindley Marginal Distribution, Tégawendé Martin Kabore, Jean-Etienne Ouindllassida Ouédraogo

Applications and Applied Mathematics: An International Journal (AAM)