Digital Commons Network^™

The Buffalo Valley Rail Trail Extension: Community Perspectives, Connectivity, And Regional Development, Hannah Tran, Ella Grace Miller, Kenny Khanh Truong

Final Reports in ENST 411: Environmental Community Projects

This report examines community perspectives surrounding the proposed Buffalo Valley Rail Trail (BVRT) Extension, a project that seeks to transform an abandoned railroad bridge spanning the West Branch Susquehanna River into a multimodal pedestrian and bicycle connection between Lewisburg and Montandon, Pennsylvania. In addition to rehabilitating a historic piece of infrastructure, the project aims to improve regional connectivity, expand recreational access, enhance pedestrian and cyclist safety, and support long-term economic and community development across Union and Northumberland Counties. Using a community-based research framework, this study combines power mapping, semi-structured interviews, windshield surveys, and a large-scale public perception survey to better …

1st National University International Conference On Health Professions Education, Sultan Qaboos University

Sultan Qaboos University Medical Journal

No abstract provided.

The Impact Of Employment On Sense Of Belonging And Metacognitive Awareness: A Mixed-Methods Study Of Undergraduate Students’ Mathematical Performance, Erin Ryan

Theses

This study investigated how employment intensity affects two critical factors for academic success: a student’s sense of belonging and their metacognitive awareness (the ability to monitor and manage their own learning). Using a mixed-methods approach at the Rochester Institute of Technology, we analyzed survey data through multi-level modeling and conducted qualitative interviews to capture the personal experiences of employed students. Results reveal that students working off-campus for more than eleven hours a week showed significantly lower sense of belonging and metacognitive awareness scores than unemployed students. However, on-campus employment did not show the same effect. Both quantitative and qualitative results …

Effects Of The Rotor Screw Edge Angle Of Twin-Screw Extruder On The Extrusion Process Of Polylactic Acid, Sun Chenhao, Wang Xilin, Wu Yuntao, Huang Zhigang

Food and Machinery

[Objective] To investigate the effects of the flight edge angle at the end face of the screw rotor in a counter-rotating twin-screw extruder on the extrusion performance of polylactic acid (PLA). [Methods] Experimental screws with flight edge angles of 70° and 80° were compared with a standard screw (90° flight edge angle) as the control. Mesh generation of the screw elements was conducted using Gambit software, followed by numerical simulations in Polyflow to compare the differences in pressure fields and shear rates within the flow channels of the three screws. The residence time and distribution of tracer particles were obtained …

A New Security Framework For Nato’S Eastern Flank, Matthew J. Kukla, Anna Batta

The US Army War College Quarterly: Parameters

This article argues for a NATO-EU–led security strategy to achieve long-term deterrence in Ukraine after the end of the Russia-Ukraine War. Unlike existing analyses, this article straddles the strategic level of deterrence, outlining an operational road map. Its historical example of the Iraq War shows that long-term security requires the development of plans before a conflict ends, long-term commitments, and multilateral—not unilateral—security efforts. The proposed solution provides strategic planners and policymakers with a low-risk, high-reward approach that leverages burden sharing through a multinational framework.

Fighting For Intelligence In Large-Scale Combat Operations: The Role Of The Intelligence And Electronic Warfare Battalion–Next, Richard Appelhans, Michael Liesmann, B. Clay Jackson, Mikael Heikkinen

The US Army War College Quarterly: Parameters

This article contends the US Army’s proposed intelligence and electronic warfare battalion–next concept constitutes an organizational solution essential for achieving intelligence dominance in large-scale combat operations. Transcending legacy formations that are predicated on specific intelligence disciplines, this innovative design furnishes a functionally oriented, modular, and layered architecture that affords the requisite analytic capabilities, agility, and endurance for the contemporary battlefield. The analysis incorporates lessons extracted from the Russia-Ukraine War, US Army experimental endeavors, assessments of peer threats, and doctrinal evolutions, thereby providing readers of US Army War College Press publications with vital insights into how the Army is adapting to …

Assessment And Mitigation Of Covid-19 Occupational Hazards Among Small Businesses In A High-Risk Community, Sadie H Conway, Denise Vasquez, Soyoung Kwon, Kristina D Mena, Louis D Brown, Janelle Rios

Faculty, Staff and Student Publications

Purpose –: This project explored COVID-19 workplace hazards and factors influencing the implementation of risk mitigation approaches among small businesses in a high-risk community.

Design/methodology/approach –: Using a novel framework, data were collected from 90 workplaces through site visits and consultations with at least one owner, manager or supervisor ("employer") and at least one non-managerial staff member ("employee"). A risk assessment and mitigation plan were prepared based on site-specific hazards; later, a follow-up visit assessed whether recommendations had been implemented and factors influencing these decisions.

Findings –: A total of 84 businesses (93.3%) implemented at least one recommendation, citing ease …

Oscillation Properties Of First-Order Difference Equations With Nonmonotone Delays: New Insights And Criteria, Emad Attia, George Chatzarakis

Turkish Journal of Mathematics

In this paper, we examine the oscillatory behavior of the first-order linear delay difference equation Δy(n) + p(n) y(τ(n)) = 0, n ∈ ℕ₀. It is known in the literature that, for any C > 0, the condition lim sup_n→∞ ∑_i=τ(n)ⁿ p(i) > C, with τ(n) nonmonotone, is not, in general, sufficient to establish the oscillation of the difference equation. We prove that, for certain classes of difference equations, the aforementioned condition is sufficient to ensure the …

Leadership As A Mechanism For Improving Discharge Planning And Reducing 30-Day Readmissions In New York City Hospitals, Laila Hasan

Walden Dissertations and Doctoral Studies

No abstract provided.

Research And Innovation Update, May 13, 2026, Office Of The Vice President For Research And Innovation

Office of Research, Economic Engagement and Outreach

No abstract provided.

From Spectator To Actor: The Drive-In Cinema As Movement On The Blue Ridge Parkway, Jacob Gonzalez

Bachelor of Architecture Theses - 5th Year

This thesis argues that architecture is not experienced as static form, but as something constructed through movement. It reconsiders the declining drive-in cinema typology not as a destination for passive viewing, but as a spatial system where movement and perception are actively choreographed.

The project asks: how can architectural movement transform the drive-in from a static act of viewing into a dynamic, cinematic experience?

Drawing from montage theory in film, particularly the work of Sergei Eisenstein, this thesis understands meaning as something constructed through sequence (through order, duration, repetition, and rhythm). Bernard Tschumi’s translation of these ideas into architecture informs …

Becoming Our Best: Professional Identity Formation As A Pathway To Lawyering Excellence In The Age Of Generative Ai, Jessica Lynn Wherry, Frances C. Delaurentis

St. Mary's Law Journal

No abstract provided.

Early Detection Of Alzheimer's Disease And Related Dementias From Spontaneous Speech Using Foundation Speech And Language Models: Comparative Evaluation, Jingyu Li, Lingchao Mao, Xi Mao, Hairong Wang, Zhendong Wang, Xuelei Sherry Ni

School of Economics and Finance Faculty Publications

Background: Alzheimer's disease and related dementias (ADRD) are progressive neurodegenerative conditions where early detection is critical for timely intervention and care planning. However, current diagnostic methods are often inaccessible, costly, and delayed, especially for underserved populations. There is a growing need for scalable, noninvasive tools that can support timely diagnosis. Spontaneous speech contains rich acoustic and linguistic markers that can serve as noninvasive behavioral markers for cognitive decline. Foundation models, pretrained on large-scale audio or text data, generate high-dimensional embeddings that encode rich contextual and acoustic information.

Objective: This study benchmarks open-source foundation language and speech models to evaluate their …

Toward Autonomous Wireless Networks: Spatio-Temporal Prediction Via Physics-Aware Generative Ai Models, Rahul Gulia

Theses

The realization of fully autonomous Industry 4.0 environments depends on wireless networks that are not merely connected, but predictively aware—capable of anticipating channel degradation before it disrupts mission-critical operations. In dynamic industrial environments such as automated warehouses, radio frequency propagation is governed by dense metallic infrastructure, continuously moving obstacles, and frequent line-of-sight to non-line-of-sight transitions that render the channel non-stationary and spatiotemporally complex. Conventional approaches face a fundamental dichotomy: deterministic simulators such as ray-tracing and NS-3 achieve high physical fidelity but require up to 38 hours to generate a single high-resolution SINR heatmap, making real-time adaptation computationally infeasible; empirical and …

Performance Analysis Of Video Coding For Machines With Vision Transformers, Vaishnavi Dhulipudi

Electronic Theses and Dissertations 2020 - Present

This thesis investigates the performance of Video Coding for Machines (VCM) with Vision Transformer based object detection models. While existing VCM studies and tool designs have largely been developed under CNN-based assumptions, recent advances in computer vision have shown the growing importance of transformer based models. Motivated by this shift, this work studies whether VCM compressed data remains suitable for Vision Transformer based inference in addition to conventional CNN-based task networks.

To address this problem, three representative transformer based object detection models were selected: DETR, SWIN, and YOLOS. These models were chosen to represent different architectural styles, namely a CNN …

Strongly Confined Bismuth Antimonide Quantum Dots, Min Khadka, Rajendra Subedi, Qiaohui Zhou, Xin Lu, Joelin A. Agyei-Mensah, Miguel José-YacamáN, Guillaume Lang, Etienne Herth, Gregory Guisbiers

Faculty Scholarship

Bismuth antimonide (Bi1–xSbx) has emerged as a highly promising material for quantum applications due to its complex band structure. In this study, spherical Bi1–xSbx quantum dots (QDs), with a diameter of around 8 ± 2 nm, were successfully synthesized by pulsed laser ablation in liquids. The energy bandgap was determined at 2.02 ± 0.27 eV, which is significantly higher than the bulk value (∼0.025 eV). The strong confinement nature of the dots was confirmed by the Raman peak shifts. The chemical composition of the Bi1–xSbx QDs was measured to be around 77 ± 2 at. % of Bi and 23 …

2026 Revised Draft Final Bpsou Backfill And Cover Material Quality Assurance Project Plan (Qapp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

A Lifecycle Governance And Learning Health System Framework For Trustworthy, Generalizable, And Sustainable Human-Ai Partnership In Clinical Practice: Lessons From The Asthma-Guidance And Prediction System (A-Gps), Chung-Il Wi, Shauna Overgaard, Momin Malik, Dave Watson, Deepak Sharma, Jennifer Le-Rademacher, Dan Kelleher, Lu Zheng, Joshua Ohde, Brian Lynch, Ashwani Khurana, Sunghwan Sohn, Mahmoud M Aljuhani, Chris Carpenter, Manuel Arteta, Jason Greenwood, Martha Hartz, Randy Foss, Elif Polat, Imad Absah, Carla Davis, Meera Gupta, Lynnea Myers, Björn Nordlund, Cui Tao, Mark L Wieland, Christi Patten, Amie Jones, Prathibha Varkey, Brenna T Loufek, David E Vidal, Nari Gopala, Eric Klee, Vijay H Shah, John D Halamka, Matthew R Callstrom, Nicholas L Rider, Hongfang Liu, Constantin Aliferis, Vesna D Garovic, Young J Juhn

Faculty, Staff and Students Publications

The integration of artificial intelligence (AI) into clinical decision support (CDS) holds promise for proactive, personalized, and precision care. However, current understanding of how to establish trustworthy human-AI partnerships is in its infancy, despite its critical importance for implementing AI in healthcare. We present the Asthma-Guidance and Prediction System (A-GPS) as a case study of a practice-integrated AI platform that demonstrates how trustworthy, generalizable and sustainable AI can be developed, evaluated, and implemented in real-world asthma care. We describe major challenges and solutions based on our real-world experience during the process and offer the practical framework, approaches, tools and workflow …

Robust Magnetoelectric Backscatter Communication System For Bioelectronic Implants, Fatima Alrashdan, Joshua E Woods, Ellie C Chen, Wendy Tan, Zhanghao Yu, Wei Wang, Mathews John, Lukas Jaworski, Drew Bernard, Allison Post, Angel Moctezuma-Ramirez, Abdelmotagaly Elgalad, Kaiyuan Yang, Mehdi Razavi, Jacob T Robinson

Faculty, Staff and Students Publications

Wireless communication technologies for bioelectronic implants enable remote monitoring for diagnosis and adaptive therapeutic intervention without the constraints of wired connections. However, wireless data uplink from millimeter-scale devices deep in the body struggles to achieve low power consumption while maintaining large misalignment tolerances. Here, we report a passive wireless backscatter communication system based on magnetoelectric transducers that consumes less than 0.3 pJ/bit and achieves less than 1E-6 bit error rate at a distance of 55 mm while tolerating a misalignment of 10 mm. Using this robust data uplink, we designed a wireless cardiac sensing node that can transmit electrocardiogram signals …

Understanding Behavioral And Representational Divergences Of Humans And Machines, Thomas Lasman Botch

Dartmouth College Ph.D Dissertations

Human behavior and cognition are strikingly variable: people differ from one another in their preferences and abilities, and even from themselves across situations. Yet this diversity arises from common neural machinery shaped by the complex environments humans inhabit. A central objective of cognitive neuroscience is to understand how this varied experience emerges from interactions between brains, agents, and environments. In this dissertation, I argue that comparing behavior and neural computation across humans, artificial systems, and contexts is essential for understanding the flexibility of human cognition. Across three chapters, I use this comparative approach to examine how the rich, multimodal contexts …

A Survey Of Health Professions Learners’ Attitudes Towards Social Media In Medical Education: A Substance Use Disorders Education Case Study, Gregory A. Jaffe, Sarah Lawson, William Leach, Mallika Kodavatiganti, Erin Avanzato, Katherine Fesperman, Heather Klusaritz

Department of Family & Community Medicine Faculty Papers

BACKGROUND: Social media is a ubiquitous part of the modern world and plays a key role in the dissemination of information. While utilizing social media for educational purposes has been repeatedly demonstrated as feasible, it has been underutilized in medical education and remains a critical opportunity to integrate microlearning and stigma reduction curricula.

METHODS: A cross-sectional survey on social media usage, attitudes, and beliefs was sent to medical and nursing students at two large academic institutions within Philadelphia. Descriptive statistics are reported, and non-parametric tests were utilized for exploratory analyses.

RESULTS: Health learners were low consumers of social media, reporting …

Model Integrasi Lembaga Perwakilan Untuk Pendaftaran Sebagai Alternatif Pendaftaran Untuk Memperoleh Perlindungan Hukum Indikasi Geografis Ubi Cilembu, Tatty A. Ramli, Yeti Sumiyati

Jurnal Hukum & Pembangunan

Abstract

Ganti Rugi Kepemilikan Hak Atas Tanah Masyarakat Kabupaten Sidoarjo Akibat Pencemaran Llngkungan Oleh Pt. Lapindo Brantas, Nini Warsini

Jurnal Hukum & Pembangunan

Abstract

Regulating The Australian Legal Profession The Law Societies And Bar Associations, Don Fleming

Jurnal Hukum & Pembangunan

Abstract

Electronic Commerce In The International Trade And The Impact On Indonesia, Wenny Setiawati

Jurnal Hukum & Pembangunan

Abstract

Development And Characterization Of Sulfur-Based Concrete From Industrial Waste By-Products, Vasilia Numan Rabah Alkhaldi

Thesis/ Dissertation Defenses

Portland cement (PC) is a significant player in the construction industry, which is one of the largest global carbon footprint sectors, contributing approximately 8% of total anthropogenic CO₂ emissions worldwide. In arid and developing countries such as the UAE, the negative impacts of PC are amplified by the piling of industrial wastes, and hence there is an urgent need to develop efficient and cost-effective waste management solutions. This dissertation reports on the design and characterization of a novel sulfur-based concrete made from locally available industrial waste materials, with an emphasis on improving the performance and durability of the material as …

Ethics- Internet Searches, A. Garrett Gouldin Dds

Virginia Dental Journal

No abstract provided.

Message From The Editor, Richard F. Roadcap Dds

Virginia Dental Journal

No abstract provided.

Va Dent J October, November And December 2016

Virginia Dental Journal

No abstract provided.

The Applicability Of Artificial Intelligence In Tour Guiding: Perspective Of Sustainable Service Innovation In Tourism With Technology, Chiranjib Kumar Choudhary Phd, Aditi Choudhary

International Journal of Tour Guiding and Visitor Attraction Research

Artificial Intelligence (AI) is increasingly transforming various sectors of the tourism, travel, and hospitality industry. Among these, the role of tourist guides remains crucial, as they act as cultural ambassadors representing destinations and nations. The primary objective of this study is to explore the applications of AI in developing intelligent audio-visual tour guides and assistive devices that enhance tourists’ real-time experiences at heritage sites, tourist attractions, and places of archaeological significance. The research adopts a qualitative approach, utilising secondary data gathered from academic literature, printed and electronic resources, online databases, and expert opinions from tourism professionals. The collected data were …