Digital Commons Network^™

Information Usage As A Performance Driver In Supply Chains: Integrating Machine Learning, Structural Modeling, And Efficiency Analysis, Asli Z. Dag

Harrisburg University Dissertations and Theses

The present study investigates ways in which companies utilize information to improve suppliers’ performance within their supply chains. In the literature, the existing studies focus largely on information sharing between companies and suppliers, while less is known about how organizations then apply shared information during decision-making in ways that impact outcomes for suppliers. Importantly, the extant research demonstrates that information sharing can improve the visibility of issues arising along the supply chain, raise the coordination between those within the chain, and reduce uncertainty about the necessary supply and demand; however, the benefits in these areas remain limited unless the relevant …

The Impact Of Participation In Career And Technical Education (Cte) On High School Graduation, College-Going Status, And Entry Into The Workforce, Paul Wambugu

Seton Hall University Dissertations and Theses (ETDs)

This study examined the relationship between high school students' participation in Career and Technical Education (CTE) and three postsecondary student outcomes using the High School Longitudinal Study of 2009 (HSLS:09). CTE participation was measured by the number of Carnegie credits earned in CTE. Three student outcomes were analyzed: on-time high school graduation, college enrollment, and workforce entry. Descriptive statistics, bivariate analyses, and multivariate logistic regression models were estimated while controlling for socioeconomic status, race/ethnicity, sex, disability status, and academic performance indicators. Results indicated that CTE concentrators who earned 3 or more Carnegie credits in CTE had higher odds of graduating …

Data Center Cooling Water Discharge: Assessing Environmental Transparency And Information Gaps, Katherine Kim

UC Law Environmental Journal

As society’s demand for more network storage and advanced generative artificial intelligence systems increases, industries are rushing to deploy more data centers. This rapid growth of data centers has led to increased concern regarding the burden that data centers place on energy and water resources. Potable water intake and energy consumption are two well-established issues related to data centers, given that both water and electricity are necessary to run and cool equipment within data centers. As a result, data centers are developing and implementing new cooling systems that recycle water within their systems, limit evaporation, or do not rely on …

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 …

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 …

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 …

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 …

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 …

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 …

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.

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 …

Preparation And Characterization Of Walnut Polypeptide Liposomes With Bilayer Polysaccharide Modification, Chen Rui, Wang Fengjun, Zhang Guohong, Jin Feng, Peng Hongchun

Food and Machinery

[Objective] To improve the physicochemical stability of walnut polypeptide liposomes (WP-L), delay walnut polypeptide (WP) release, and conduct bilayer polysaccharide modification on the WP-L using sodium alginate (SA) and chitosan (CS). [Methods] The effects of modifications by CS and SA in different mass fractions on the physicochemical properties of WP-L are investigated. Then, the structural morphology of the liposomes is characterized by transmission electron microscopy (TEM) and Fourier transform infrared (FTIR) spectroscopy. Additionally, liposome stability under long-term storage conditions is examined. Finally, polypeptide release rates, release behavior, sustained-release characteristics, alongside bioactivity changes before and after digestion are evaluated via in …

Analysis And Identification Of Chromogenic Components In Lotus Root Powder, Zhang Yuhan, Xin Xiaobin, Yang Cheng, Min Rui, Shi Liangman

Food and Machinery

[Objective] To analyze and identify the coloring components in lotus root powder, clarify the reasons for the different colors of lotus root powder, and analyze the color variation patterns during brewing. [Methods] Five commercially available lotus root powder samples are analyzed. Acid-base chromogenic reactions and ultraviolet-visible (UV-Vis) spectroscopy are employed to preliminarily identify the chromogenic components. Ultra-high performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS) and Fourier transform infrared spectroscopy (FT-IR) are used to determine their composition and structural units. [Results] The chromogenic components in lotus root powder are identified as proanthocyanidins, primarily oligomeric proanthocyanidins composed of catechins …

Foaming Properties And Structural Characterization Of Wheat Germ Albumin-Galacto-Oligosaccharide Covalent Complexes, Zhang Gensheng, Su Wenwen, Huang Xinyu, Du Yinan, Na Zhiguo, Fei Yingmin

Food and Machinery

[Objective] To improve the foaming properties of wheat germ albumin (WGA). [Methods] WGA was modified by wet glycosylation with galacto-oligosaccharides (GOS). The foaming capacity and foam stability of the wheat germ albumin-galacto-oligosaccharide covalent complex (WGA-GOS) were investigated, and its structure was characterized. [Results] Compared with WGA, the foaming capacity and foam stability of the WGA-GOS increased by 41.7% and 7.9%, respectively. Fourier transform infrared spectroscopy, circular dichroism, intrinsic fluorescence spectroscopy, and scanning electron microscopy analyses showed that the introduction of GOS altered the spatial structure of WGA, confirming the formation of covalent bonds between WGA and GOS. After modification, the …

Simulation And Analysis Of Drying Characteristics Of Sorghum In Vibrating Fluidized Bed, Yan Yanqi, Wan Lin, Che Gang, Wang Haochen, Xi You

Food and Machinery

[Objective] To analyze the motion, heat transfer, and mass transfer characteristics of sorghum in a vibrating fluidized bed and determine appropriate vibration and ventilation parameters to achieve efficient drying of sorghum. [Methods] Under the combined action of vibration and hot air, and based on the heat and mass transfer as well as the motion relationships between sorghum particles and the air medium during the fluidized bed drying process, a heat and mass transfer model was developed based on CFD-DEM fluid-solid coupling theory. The effects of vibration frequency, hot air temperature, and apparent wind speed on drying rate and drying unevenness …

Time-Optimal Trajectory Planning For Food Sorting Robotic Arm Based On Improved Fruit Fly Algorithm, Zhang Meijing, Liu Jiacheng, Wang Yang

Food and Machinery

[Objective] To enhance sorting efficiency and motion stability and to address problems in robotic arm trajectory planning in food sorting scenarios, such as long operation time, large joint motion impact, and the tendency of algorithms to fall into local optima. [Methods] Taking the UR 5 six-degree-of-freedom food sorting robotic arm as the research object, a time-optimal trajectory planning method based on an improved fruit fly optimization algorithm (IFOA) was proposed. First, a kinematic model of the robotic arm was established, and its forward and inverse kinematic equations were solved. On this basis, a 3-5-3 piecewise polynomial interpolation method was adopted …

Construction Of A Quaternary Composite Antimicrobial Film And Its Preservation-Enhancing Effect On Cherry Tomatoes, Nie Longying, Jiao Lijun, Yang Jiamin, Ye Wenbin, Zhu Xiujuan

Food and Machinery

[Objective] To optimize the formula of a chitosan (CS)-carboxymethyl cellulose (CMC) composite film, and to enhance its antimicrobial activity and preservation effect on cherry tomatoes through the incorporation of olive pomace polyphenols (OPP) and curcumin (Cur). [Methods] CS and CMC are used as the matrix, into which OPP and Cur are incorporated. Then, the formula is optimized using response surface methodology, with the inhibition zone diameter against E.coli as the indicator. [Results] The optimal formula is 1.5% CS, 3% CMC, 8% OPP, 3% Cur, 0.9% glycerol, and 1.2% acetic acid, all based on the weight of water. The resulting CS-CMC-OPP-Cur …