Digital Commons Network^™

Hint-Guided Video Frame Interpolation For Video Compression, Pan Tan, Wu-Chi Feng

Computer Science Faculty Publications and Presentations

Traditional video compression continues to advance, but the gainsin efficiency are diminishing and come at the cost of higher compu-tational complexity. Despite achieving competitive rate-distortionresults, current neural video codecs (NVCs) generally lack sup-port for a wide range of quality levels, often requiring multiplemodels to achieve flexible rate control, which increases both train-ing cost and deployment complexity. To address the limitations ofboth traditional codecs and current NVCs, we propose a hybridvideo compression framework that integrates traditional codecswith hint-guided video frame interpolation (VFI), a learning-basedtechnique for synthesizing intermediate frames. By using decodedreference frames and leveraging compressed-domain hints to guideinterpolation, our method improves …

Bloom: A Low-Cost, Open-Source, Companion Social Robot, Deekshita Senthil Kumar, Sebastian Ramirez-Vallejo, Xiangfei Kong, Zhao Han

Bellini College REU Symposium (BCREUS)

The rapid growth of the aging population has increased rates of loneliness, depression, and cognitive decline among older adults, particularly those living alone or with Alzheimer's disease and related dementias (ADRD). Socially assistive robots such as Paro have demonstrated therapeutic and emotional benefits; however, existing systems remain costly and inaccessible. This project introduces Bloom, a low-cost, physically interactive social robot designed to provide emotional companionship and cognitive engagement.

Built on a Raspberry Pi 5 platform and inspired by the open-source Blossom robot, Bloom features a durable 3D-printed hard-shell design with motor-driven expressive movements that support tactile interaction. The system integrates …

Analyzing Human–Robot Collaboration Failures In State-Of-Art Generative Visuomotor Models, Grant Henderson, Miguel Mateo Osorio Vela, Vidhi Mudaliar, Amanuel Ergogo, Zhao Han

Bellini College REU Symposium (BCREUS)

As generative visuomotor models become increasingly capable of representing large-scale robotic skills, they are beginning to transition from controlled laboratory environments into shared human-robot workspaces. While these models enable competent manipulation, their opaque, black-box decision-making processes introduce coordination challenges that can negatively impact safety, efficiency, and trust during collaboration. In safety-critical tasks such as medication dispensing, successful teamwork depends not only on physical capability but also on timing, predictability, and mutual awareness.

This project investigates how two state-of-the-art generative visuomotor policies, an Action-Chunking Transformer (ACT) and a Vision-Action Diffusion policy, perform in a real-world collaborative medication-dispensing task. We compare these …

A Distance Based Embedding Method Using Nlp Methods To Identify Proximity To A Network, Shuhan Zhang, Anurag Tangri, Chinmay Narendra Sonar, Lin Meng, Can Liu, Chiranjeet Chetia

Defensive Publications Series

The present disclosure relates to the field of Artificial Intelligence (AI), in particular to AI methods and systems for analyzing transactional data using Natural Language Processing (NLP) techniques to identify latent relationships and proximity within networks. The disclosed system utilizes text fields within datasets to categorize input data into appropriate classifications. The input comprises a dataset containing text data that provides contextual information related to transactions. Feature embeddings are generated using a sentence-based Language Learning Model (LLM), which captures semantic meaning of sentences. The LLM converts input data of varying lengths into fixed-dimension embeddings. The sentence-based LLM is fine-tuned based …

Dynamic Management Of Virtual Lanes And Buffer Zones For Autonomous Traffic, Sumukh Shevde, Kamran Mustafa, Abhijit Adsule

Defensive Publications Series

Static assignment of roadway lanes can result in inefficient traffic flow, where congestion may develop in one direction while opposing lanes remain underutilized. To address this, systems and methods for dynamic traffic management are described. A computational system, such as a central server or an in-vehicle computer, can treat a roadway as a single, partitionable surface, creating and modifying virtual lanes in near real-time. The number, width, and direction of these lanes can be adjusted based on current and predicted traffic demand. Autonomous or semi-autonomous vehicles can be assigned to these virtual lanes, and a dynamic virtual buffer zone may …

A Real-Time Computer Vision System For Procedural Verification In Manual Assembly, Frank Mao, Sun Nee Chan, George Liu

Defensive Publications Series

Manual assembly processes can be susceptible to error, potentially leading to incorrect component handling or procedural deviations. A system for real-time procedural verification can use computer vision to address this. An inspection node, which may comprise an imaging device (e.g., a camera) and a processing unit, can capture and analyze an operator's physical actions at a workstation. These actions may be compared against a predefined digital blueprint, such as a standard assembly model (SAM), that codifies a specified sequence of events. Upon detection of a deviation between the operator's actions and the SAM, the system can provide feedback to the …

City Of Knoxville V. Netflix, Inc: The Doctrine Of Comity In Certified Questions, Shannon M. Crow

University of Memphis Law Review

When compared to traditional cable companies, streaming platforms and their distinctive methods of delivering entertainment make them seemingly untouchable—not only in competitive markets, but also in the courtroom. The Tennessee Supreme Court in City of Knoxville v. Netflix, Inc. (“Netflix”) ruled that Netflix and Hulu did not provide video programming through wireline facilities under the Competitive Cable and Video Services Act (“CCVSA”).1 Netflix arose out of an action brought in the United States District Court for the Eastern District of Tennessee by the City of Knoxville against Netflix and Hulu (“Defendants”).2 The City of Knoxville argued that Defendants were required …

Artificial Minds, Alien Experiences: Navigating The Uncharted Territory Of Ai Phenomenology, Kevin H. Smith

University of Memphis Law Review

This Article advocates for a fundamental shift in the way artificial intelligence (“AI”) consciousness is evaluated, moving beyond anthropocentric models that rely on human cognitive benchmarks. Traditional tests, such as the Turing Test, assume that human-like behavior is the ultimate criterion for consciousness, overlooking the possibility of novel, non-human modes of consciousness. Instead, this Article proposes a multi-dimensional framework that assesses AI systems based on their unique architectures and cognitive processes. By combining dimensions such as information integration, autonomous goal-pursuit, metacognitive self-modeling, affective motivation, social communication, counterfactual simulation, imaginative reasoning, and causal modeling, this framework provides a comprehensive and empirically …

Clearing The Legal Fog: Navigating Conflicting Interpretations Of The Speedy Trial Act And The Insanity Defense Reform Act For Mentally Incompetent Defendants, Bridgette Mcinroe

University of Memphis Law Review

Jane, a 32-year-old individual, is facing federal criminal charges for an alleged white-collar offense that has a maximum punishment of one year in prison. On March 1, 2019, the court decides to assess Jane’s mental competency to stand trial due to concerns raised in the initial proceedings. The court, relying on the standards set forth by the United States Supreme Court,1 initiates a hearing to determine whether sufficient evidence exists to warrant a mental competency evaluation. After the competency hearing, the court concludes that there is a need for such a mental evaluation. Jane is then sent for an initial …

The Restatement Of Torts And Recovery For Loss Of The Human-Pet Bond Aftern An Intentional Tort, Merle H. Weiner

University of Memphis Law Review

Owners1 of pets2 are often unable to recover for the loss of the human-pet bond when their pets are tortiously injured or killed. However, empirical research confirms the owners may experience the loss as real harm.3 Pets have an especially important role in a “stressful and frenetic” world characterized by unstable family relationships.4 Indeed, a 2015 Harris Poll found that 95% of American dog and cat owners regard their pets as family members.5 This Article seeks to explain why some courts refuse to allow recovery for loss of the human-pet bond even in cases involving intentional torts, such as conversion …

The Connection Between Infidelity And Ptsd, Marissa Anderson

Journal of Counseling Sexology & Sexual Wellness: Research, Practice, and Education

This literature review addresses infidelity and the current limitations of treatment approaches due to incongruences in definitions and clinical acknowledgment. Infidelity, as a phenomenon, is poorly understood due to varying morals, experiences, religious and cultural influences that alter personal and relational constructs and expectations specific to infidelity. One commonality among those who experience infidelity is the lingering traumatic impact due to the violation of personal and societal convictions observed by the betrayal of trust, loyalty, commitment, self-worth, power imbalances, and religious beliefs. However, current literature and approaches to infidelity fail to address the traumatic impact of discovering infidelity within a …

Individuals And Couples With Infertility: Quality Of Life, Relationship Satisfaction, Resilience, Depression, And Shame, Niko C. Wilson, Sejal Barden

Journal of Counseling Sexology & Sexual Wellness: Research, Practice, and Education

This study examined the relationship between fertility-related quality of life, relationship satisfaction, resilience, depression, and shame in individuals and couples with infertility (N = 556). Using structural equation modeling (SEM) and the actor-partner interdependence model (APIM), the study assessed gender covariates and dyadic influences in couples (n = 52). SEM results showed fertility-related quality of life impacted resilience, depression, and shame, while its relational aspect influenced relationship satisfaction. APIM identified partner effects on relationship satisfaction and shame. Findings provide insights for counseling practices, promoting relationship well-being in couples facing infertility.

Development And Evaluation Of The Sex Positivity Inventory For Counselors, M. Ashley Burks, Jennifer Gerlach, Joshua C. Watson

Journal of Counseling Sexology & Sexual Wellness: Research, Practice, and Education

The purpose of the study was to clarify the definition of sex positivity and identify sex-positive attitudes, knowledge, and skills through the development and evaluation of the Sex Positivity Inventory for Counselors (SPI-C). The exploratory factor analysis supported a six-factor, 34-item scale, accounting for 32.9% of the variance within the study. The SPI-C had an excellent internal consistency of 0.96 and consisted of the following factors: 1) Procedural Sex Positivity, 2) Comfortability with Sexuality, 3) Perceived Sex Positivity, 4) Fundamental Sex Education, 5) Sexological Worldview, and 6) Unconditional Positive Sexual Regard. Implications for practice, counselor education, and supervision are discussed.

The Tax Adviser, Volume 1, Number 3, March 1970, American Institute Of Certified Public Accountants

Tax Adviser

No abstract provided.

A (Mini) Mathematics Research Experience In A Math Teachers’ Circle Session, Michelle Manes, Linda Venenciano, Seanyelle Yagi

Journal of Math Circles

We describe a single Math Teachers’ Circle session during which a group of teachers collectively engaged in a “mini mathematics research experience.” This provides a model for providing research experiences for mathematics teachers through content-based professional development programs. We conjecture that these experiences will have many of the same benefits as research experiences for teachers in lab sciences.

The Student Movement Volume 110 Issue 10: Joy To The World Changers, Anna Rybachek, Aiko J. Ayala Rios, Corinna Bevier, Caleb Chung, Megan Constantine, Jj Nixon, Andrew Francis, Isa Demoraes, Ayanda Dewa, Timi Olatunde, Joey Carrion, Moraya Truman, Madison Vath, Nathaniel Reid, Nicoleta Cojan

The Student Movement V. 110 (2025-2026)

ARTS & ENTERTAINMENT

The Origins of Classic Christmas Traditions, Anna Rybachek

Feel the Joyful Christmas Spirit with the Music Department, Aiko J. Ayala Rios

Labubus and The Rockettes: A Macy's Parade for Everyone, Corinna Bevier

The Christmas Tradition, Caleb Chung

HUMANS

The Power of Pairing: Andrews Students Build Bonds Through Best Buddies, Megan Constantine

Charting Her Path: Aleah Crayton's Andrews Experience, JJ Nixon

NEWS

Former Student Missionaries Start New "Project Launch" Initiative with CFE, Andrew Francis

Andrews Students Spread Kindness on Second Show Love Here Day, Isa DeMoraes

IDEAS

One Swipe Away from Destiny, Ayanda Dewa

When an "I Love …

Timss 2023 – Infographic: Future Pd Needs Of Maths Teachers, Jo Earp

Teacher infographics

The IEA’s Trends in International Mathematics and Science Study (TIMSS) is a global assessment measuring student achievement in years 4 and 8. Teachers from participating schools also complete a questionnaire. Today’s infographic looks at the topics that mathematics teachers reported needing professional development on in the future.

Sexual Attitude Towards Adolescents Use Of Online Sexual Content, Maria Aracely Marquez Vega

Biennial Convention (CONV)

The general objective of the study was to determine the relationship between the use of sexual content online and sexual attitudes in adolescents. The study design was descriptive-correlational. The sample consisted of 260 adolescents between the ages of 15 and 19 from a public high school in Monterrey, Nuevo León. A 95% confidence level and a power level of 90% were estimated. A sociodemographic data sheet and the instrument for the use of sexual content on the Internet and the scale of sexual attitudes were applied. Descriptive and inferential statistics were used, as well as the Spearman correlation coefficient and …

Model For Calculating Impact Force For Individualized Hip Fracture Prediction During A Fall, Alisha Agarwal, Daniel Kargilis, Nishtha Gupta, Michael Chang, Rui Feng, Gregory Chang, Chamith S. Rajapakse

Student Papers, Posters & Projects

Osteoporotic-related weakening of bone is a common cause of hip fractures. The standard of care for the diagnosis and management of osteoporosis is the dual-energy x-ray absorptiometry bone mineral density T-scores. Many individuals considered nonosteoporotic, however, still sustain fractures since these tools do not incorporate vital bone parameters and subject-specific characteristics. The purpose of this work was to (1) develop a simple analytical model for estimating the force exerted on the femur during a fall (i.e., impact force) based on measurable patient metrics and (2) define a quantifiable fracture risk index by comparing finite-element-derived bone strength and impact force, which …

Usa V. Devin Travis

2025 Decisions

USDC for the District of New Jersey

Joshua Otero V. Christian Kane

2025 Decisions

USDC for the Eastern District of Pennsylvania

Limits On Wimp Dark Matter With Nai(Tl) Crystals In Three Years Of Cosine-100 Data, G H Yu, N Carlin, J Y Cho, J J Choi, S Choi, A C Ezeribe, L E França, C Ha, I S Hahn, S J Hollick, E J Jeon, H W Joo, W G Kang, M Kauer, B H Kim, H J Kim, J Kim, K W Kim, S H Kim, S K Kim, W K Kim, Y D Kim, Y H Kim, Y J Ko, D H Lee, E K Lee, H Lee, H S Lee, H Y Lee, I S Lee, J Lee, J Y Lee, M H Lee, S H Lee, S M Lee, Y J Lee, D S Leonard, N T Luan, V H A Machado, B B Manzato, R H Maruyama, R J Neal, S L Olsen, B J Park, H K Park, H S Park, J C Park, K S Park, S D Park, R L C Pitta, H Prihtiadi, S J Ra, C Rott, K A Shin, D F F S Cavalcante, M K Son, N J C Spooner, L T Truc, L Yang, Cosine-100 Collaboration

Faculty and Staff Publications

We report limits on weakly interacting massive particle (WIMP) dark matter derived from three years of data collected by the COSINE-100 experiment with NaI(Tl) crystals, achieving an improved energy threshold of 0.7 keV. This lowered threshold enhances sensitivity in the sub-GeV mass range, extending the reach for direct detection of low-mass dark matter. Although no excess of WIMP-like events was observed, the increased sensitivity enabled a model-insensitive comparison between the expected WIMP signal rate-based on mass limits from our data-and DAMA's reported modulation amplitude. Our findings strongly disfavor the DAMA signal as originating from WIMP interactions, fully excluding DAMA/LIBRA 3σ …

Urgent Radiotherapy For Superior Vena Cava Syndrome In Metastatic Non-Small Cell Lung Cancer: A Case Report, Arpeet Patel, Nilanjan Haldar, Ida Micaily, Michael Greenberg, Evan Nardone, John A. Lippert, Christopher Fundakowski, Adam C. Mueller

Department of Radiation Oncology Faculty Papers

Superior vena cava (SVC) syndrome is a life-threatening complication of thoracic malignancies, requiring rapid management in the setting of airway compromise or hemodynamic instability. We present a 59-year-old male with metastatic non-small cell lung cancer (NSCLC) who developed superior vena cava syndrome (SVCS) due to compression from a large mediastinal mass identified as metastatic lung adenocarcinoma. His declining respiratory status progressed rapidly, necessitating intensive care. After extensive multidisciplinary collaboration, the patient was determined fit for inpatient radiation therapy and 10 fractions of 300 cGy external beam radiotherapy to the obstructing lesion was planned. However, the patient was unable to lay …

Holistic Approaches To Lyme Disease Symptom Management, Leah Van Antwerp

Honors Theses

Lyme disease is a multisystem tick-borne infection that can lead to long-lasting symptoms even after standard antibiotic therapy, with Lyme arthritis being one of the most common and persistent complications. Due to limited research on this issue, rheumatoid arthritis (RA) will be discussed as a reference for understanding treatment options because it is a similar condition. Since many people continue to experience debilitating pain and reduced quality of life after treatment for Lyme disease, holistic approaches have become increasingly popular for symptom management. This literature review examines three holistic modalities-yoga, acupuncture, and diet modifications- and their effectiveness in alleviating arthritic …

Plant Vs. Animal Protein: Effect On Recovery, Performance, And Long-Term Health, Claudia Stachura

Honors Theses

Protein plays a fundamental role in muscle repair, growth, and athletic performance, which has led to increased interest in how different protein sources compare, particularly as plant-based diets become more common among athletes and physically active individuals. The debate surrounding plant-based versus animal-based protein sources primarily focuses on differences in protein quality, amino acid composition, digestibility, and potential long-term health implications. This paper examines current evidence comparing the effectiveness of plant and animal protein sources in supporting muscle protein synthesis (MPS), resistance training adaptations, recovery, and performance, while also considering broader health and environmental outcomes.

Protein supports muscle growth by …

Exploring Healthcare Providers' Perceptions Of Virtual Reality In Lung Cancer Treatment Preparedness: A Mixed-Methods Feasibility Study For The Development Of Everybreathmatters, Safa Elkefi, Rongyi Wu, Steven K. Feiner, Lanyi Chen, Guy Hembroff, Alicia K. Matthews

Michigan Tech Publications

This study examined healthcare providers' perceptions of the benefits, challenges, and design preferences for Virtual Reality (VR)-based interventions to support treatment preparedness in lung cancer care. Our study involves 50 surveys and 10 interview responses, in a mixed-method design. We conducted descriptive statistics and thematic analysis through a hybrid inductive-deductive approach. Analysis of the quantitative data helped us capture demographic characteristics, VR familiarity, and perceived VR usefulness. Qualitative analysis gave us a deeper understanding of the VR tool design and Implementation. Descriptive statistics and Fisher's exact tests were used to assess associations, while thematic analysis was conducted on interview transcripts. …

Exploring The Impact Of The Nursing Associate Role On Urinary Tract Infections Within An Acute Elderly Mental Health Setting, Ann Mcdonnell

South West Clinical School Journal

#400WORDS: NATIONAL NURSING ASSOCIATE SPECIAL EDITION

December 5, 2025 Ereporter, University Of Alabama At Birmingham

eReporter (campus newsletter)

No abstract provided.

Radiation-Induced Brachial Plexopathy: Current Understanding, Diagnosis, And Treatment Options, Alex G. Lambi, Tomas Holly, Ryan E. Tomlinson, Mary F. Barbe

Department of Orthopaedic Surgery Faculty Papers

Radiation-induced brachial plexopathy (RIBP) is a gruesome complication of cancers treated with radiation therapy around the lung and chest wall, head and neck, and breast and axilla. It can occur in an early-onset (transient) or a late-onset (chronic) fashion. The diagnosis involves exclusion of a compressive neoplastic process, either new or recurrent, and relies largely on patient symptomatology without well-validated, objective scoring systems. Treatment options remain limited as no major advances have been made to prevent or halt disease progression. This article reviews the background incidence, pathophysiology, and diagnosis of RIBP. In addition to surgical treatment options, nonsurgical modalities, often …

Manual Annotation Protocol And Geometric Feature Classification For 3d Plant Point Clouds Data, Angel A. Barrera, Inhwan Jung, Luke Hussung

Faculty Open Access Works

We created a procedure for hand annotating LiDAR scans of York Poplar trees to segment them based on plant organs and background. These annotated labels were then used to train the classification models capable of distinguishing the plant and its individual organs from the surrounding background.