Digital Commons Network^™

Impact Of Transforaminal Epidural Steroid Injection On Pain, Disability, And Kinesiophobia In Lumbar Disc Herniation With Radicular Pain, Hande Ece Öz, Rumeysa Çeti̇nkaya Bulutoğlu, Furkan Çeti̇n, Ezgi̇ Can, Alp Eren Çelenli̇oğlu, Ender Si̇r

Turkish Journal of Medical Sciences

Background/aim: The aim was to evaluate the effect of single-level transforaminal epidural steroid injection (TFESI) on kinesiophobia (KP) in patients with lumbar radicular pain (RP) caused by single-root, single-level lumbar disc herniation (LDH).

Materials and methods: A total of 63 patients diagnosed with unilateral single-level radicular pain due to LDH and treated with single-level TFESI were included. The Numeric Rating Scale (NRS), modified Oswestry Disability Index (MODI), Tampa Scale of Kinesiophobia (TSK), and Neuropathic pain (NP)-Douleur Neuropathique 4 Questionnaire (DN4) were used before the procedure and at 3 weeks and 3 months postoperatively.

Results: At baseline, 76.19% (n = 48) …

Impact Of Race-Based And Race-Free Ckd-Epi Equations On Estimated Glomerular Filtration Rate In A Multicenter Retrospective Cohort Of Autosomal Dominant Polycystic Kidney Disease, Özgür Akin Oto, Abdulmeci̇t Yildiz, İsmai̇l Koçyi̇ği̇t, Hali̇l Yazici, Sai̇de Eli̇f Güllülü Boz, Yi̇ği̇t Kurtuluş, Alparslan Demi̇ray, Müge Doksan, Vafa Suleymanova, Ece Ük, Alper Akin, Bahar Bastani, John C. Edwards, Krista Leigh Lentine, Yaşar Kerem Çalişkan

Turkish Journal of Medical Sciences

Background/aim: The 2021 revision of the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation, which eliminates race-based coefficients, may significantly influence disease staging and treatment in autosomal dominant polycystic kidney disease (ADPKD). This study was designed to evaluate the impact of the 2021 race-free CKD-EPI equation on estimated glomerular filtration rate (eGFR) and chronic kidney disease (CKD) staging in a multi-ethnic ADPKD population.

Materials and methods: In this multicenter, retrospective cohort study, 597 ADPKD patients were evaluated, including 515 self-identified as Caucasian and 82 as African-American. eGFR values at baseline and final follow-up were calculated using both the 2009 and 2021 …

Preliminary Population Genetic Analysis Of 12 X-Str Loci In A Sample From Türkiye: Allele Frequencies, Haplotype Diversity, And Linkage Disequilibrium​, Hizir Asliyüksek, Esra Güzel Tanoğlu, Abdulkadi̇r Can, Muhammed Fevzi̇ Esen, Yusuf Atan

Turkish Journal of Medical Sciences

Background/aim: X-chromosomal short tandem repeats (X-STRs) are informative genetic markers in kinship testing and specific forensic contexts, particularly when standard autosomal approaches are less informative. This study aimed to provide preliminary allele frequency, haplotype diversity, and linkage disequilibrium (LD) data for 12 X-STR loci in a sample from Türkiye.

Materials and methods: A total of 136 unrelated individuals from Türkiye were genotyped for 12 X-STR loci. Inferential analyses of X-linked loci require diploid genotypes; therefore, allele frequencies, Hardy–Weinberg equilibrium (HWE), LD, and regional comparisons were based primarily on female samples (n = 115), whereas male haplotypes (n = 21) were …

Pediatric Mr Cholangiopancreatography: Comparison Of 3d Fast Spin-Echo And Single-Shot Fast Spin-Echo Thick-Slab Techniques For Pancreaticobiliary Anatomy, Seda Kaynak Şahap, Suat Fi̇toz

Turkish Journal of Medical Sciences

Background/aim: This study compared thick-slab and three-dimensional (3D) T2-weighted magnetic resonance cholangiopancreatography (MRCP) sequences in pediatric patients with respect to image quality and visualization of the pancreaticobiliary anatomy.

Materials and methods: The MRCP examinations of 62 pediatric patients evaluated for suspected pancreaticobiliary pathology were retrospectively reviewed, comprising a total of 69 studies. Thick-slab single-shot fast spin-echo and 3D fast spin-echo MRCP sequences were compared. The visualization of pancreaticobiliary structures was assessed using a qualitative visual scoring system. Image quality was graded as good, moderate, poor, or nondiagnostic. Biliary anatomical variations were also evaluated. Statistical analysis was performed using appropriate nonparametric …

Postoperative Normocalcemic Hyperparathyroidism: A Comprehensive Analysis Of 510 Cases, Alparslan Ertenli̇ce, İbrahi̇m Kilinç, Mustafa Oruç

Turkish Journal of Medical Sciences

Background/aim: Postoperative normocalcemic hyperparathyroidism (NC-HPT) is defined as elevated parathyroid hormone (PTH) levels despite normal calcium levels after parathyroidectomy for primary hyperparathyroidism (PHPT). This study investigates the demographic, biochemical, and histopathological factors associated with NC-HPT in a large patient cohort and presents the follow-up outcomes.

Materials and methods: The initial study sample included 571 patients who underwent surgery for PHPT between January 2018 and January 2024, 510 of whom were analyzed retrospectively after the application of the exclusion criteria. Preoperative and postoperative biochemical parameters, bone mineral density, pathological findings, and follow-up data were evaluated. NC-HPT was defined as postoperative PTH …

“Courage, Sisters. Your Living Is The Stuff Of Freedom”: Women In The Camden 28, 1971-1973, Abbigail Madeline Ealer

Theses and Dissertations

This historical study investigated the role and experiences of the ten women in the Camden 28, which was a group of Catholic Leftists who raided the draft board in Camden, NJ in 1971 to protest the Vietnam War. In utilizing a myriad of sources from archival collections through scarcely seen personal ephemera to correspondence with individuals connected to this case, this thesis demonstrated the importance of these women to the planning and execution of the raid as well as their significance to the outcome of the trial in 1973. It also showed the need for targeted scholarship on them. Furthermore, …

Livelihood Transformation In Indonesian Peatland Communities: A Never-Ending Adaptation Strategy, Sulistya Ekawati, Sri Suharti, Murniati Murniati, Subarudi Subarudi, Moh. Andika Lawasi, Dicky Rachmawan, Ari Nurlia, Surati Surati, Nurul Silva Lestari, Bugi Kabul Sumirat, Handoyo Handoyo, Enkin Asrawijaya

Forest and Society

Local communities have mainly depended on peatlands for their livelihoods since ancient times. The peatland ecosystem plays a vital role, not only at the local level but also at the national and global levels. The important role of peatlands has shifted and influenced the government's policies, affecting the community's livelihood. This paper aims to analyse the shifting livelihood of local communities and formulate adaptation strategies for future challenges. The study employs a systematic literature review with NVivo for coding and themes categorization, providing a structured and transparent synthesis. The research results indicated that government policies often overlook local wisdom values …

Amicus Brief Superficially In Support Of Thaler’S Petition For Certiorari (Which I Guess I’M Not Going To File Now), Brian L. Frye

Maryland Law Review

No abstract provided.

Link, Retain, Suppress: A Grounded Theory Study Of Medical Case Management In The Philadelphia Hiv Service Agencies, Shakeera Wynne

Social Work Doctoral Dissertations

Medical case management (MCM) plays a critical role in supporting engagement in HIV care; however, differences in implementation across agencies may influence service delivery and outcomes. Existing research has focused primarily on outcomes such as retention in care and viral suppression, while less is known about how the MCM intervention is implemented in practice. The purpose of this grounded theory study was to explore how medical case management is implemented within HIV care settings and to examine the structural, organizational, and relational factors that shape service delivery. Semi-structured interviews were conducted with medical case managers working within Ryan White-funded agencies …

Multi-Frequency Associative Memory For Continual Graph Learning Through Nested Optimization, Shuvam Kundu

Master’s Dissertations

Graph Neural Networks struggle to learn new tasks without forgetting old ones a problem known as catastrophic forgetting. In graph domains, this is compounded by structural shift, where newly added edges corrupt the learned representations of historical nodes even when model weights remain unchanged. We present CAM-Titans, a continual graph learning framework built around a two-buffer associative memory to address both parametric and structural forgetting. Our architecture operates across three timescales of adaptation: a slow base memory updated via ordinary gradient descent, an intermediate task buffer re-encoded after every task using the delta-rule, and a transient in-context state for rapid …

Development And Standardization Of Teds Actuator Templates Under Ieee 1451 Framework, Jim Kang

Theses and Dissertations

The IEEE 1451 standard is a family of standards that defines a framework for smart transducers, including both sensors and actuators, to support consistent, interoperable, and cost-effective integration across diverse applications. However, the current IEEE 1451.4 standard templates only define the method for encoding Transducer Electronic Data Sheet (TEDS) information for a broad range of sensor types and applications; they do not address actuator TEDS. Specific types of sensors and actuators are being developed to assess underground environmental conditions in cold regions with widespread permafrost. Evaluating subsurface conditions before construction can help prevent high construction expenses for structures built on …

Pinnlab: An Interactive Dashboard For Teaching Data-Driven Parameter Estimation In Differential Equations Using Physics-Informed Neural Networks, Mohan J. Parthasarathy, Padmanabhan Seshaiyer

CODEE Journal

Undergraduate instruction in ordinary differential equations (ODEs) is typically organized around the forward problem: finding solution trajectories when the governing equation and its parameters are known. In scientific practice, however, inverse problems are often more relevant, requiring unknown parameters to be inferred from noisy observations while assessing whether a proposed model is consistent with the data. We introduce PINNLab, an open-source MATLAB dashboard designed to help undergraduate students explore inverse modeling through physics-informed neural networks (PINNs). PINNLab presents PINNs as a complementary data-driven framework that connects differential equations, optimization, empirical data, and scientific machine learning. The instructional sequence is organized …

Third Space Thinking In The Secondary School Writing Center: A Model For A More Just Approach To Education, Annika Peacock

Undergraduate Honors Theses

This thesis examines the ways that Homi Bhabha’s postcolonial Third Space theory aligns with writing centers, and more specifically writing centers in secondary schools. The thesis introduces Third Space theory in six characteristics and the ways that writing centers are Third Spaces. Next, through content analysis, 25 mission statements from secondary school writing centers are qualitatively coded to reveal what writing centers prioritize and understand about their center. The thesis finishes with a framework called Third Space thinking, providing examples of how writing centers as Third Spaces can help to develop a more just and equitable educational experience for students …

Reproducing And Analyzing The “Lost In The Middle” And “The Power Of Noise” Phenomenon In Retrieval-Augmented Generation, Kousik Samanta

Master’s Dissertations

Retrieval-Augmented Generation has become the way to improve Large Language Models. They help with problems like knowledge and hallucinations. Recent studies show that these models still have limitations. One big problem is the “Lost in the Middle” phenomenon. Models can’t access information in the middle of contexts properly. Another counterintuitive observation is the “Power of Noise” paradigm, which suggests adding unrelated documents can actually make the generation better. We know these happen in extractive QA tasks, but we don’t know if they happen in tasks that need complex reasoning. This dissertation looks into how position and noise affect Long-Form Question …

Learning To See Lesions, Not Skin Tone: Counterfactual Multimodal Learning For Fair, Trustworthy, And Text-Free Dermatology Ai, Shivam Jangid

Master’s Dissertations

Recent advances in deep learning have significantly improved the performance of automated skin lesion classification systems, enabling accurate detection of various dermatological conditions from medical images. Despite these achievements, concerns regarding fairness and generalization remain a major challenge for the deployment of such systems in real-world clinical settings. A key factor contributing to these challenges is the presence of bias in training datasets, particularly with respect to skin-tone representation. Most publicly available skin lesion datasets contain a disproportionate number of samples from individuals with lighter skin tones. As a result, deep learning models trained on these datasets often learn representations …

Adaptive Spectral Trust Gate For Physics- Constrained Operator Learning, Soham Chakraborty

Master’s Dissertations

Physics-informed machine learning improves the plausibility, data-efficiency and generalization of surrogate models by injecting prior physical knowledge into the learning process. The current approaches can be broadly divided into two main categories: soft constraints, which add a physics residual to the training loss but guarantee nothing at inference time, and hard constraints, which project the model output onto the constraint set exactly but apply the projection uniformly to every part of the signal — including parts that are dominated by noise, discretization error, or model mismatch, where the idealized physics is not actually trustworthy. This dissertation proposes the Adaptive Spectral …

Deep Reinforcement Learning With Directed Asymmetry And Kolmogorov-Arnold Networks For Dismantling Interdependent Multiplex Networks, Soumyajit Dev

Master’s Dissertations

Identifying the minimum-cost node-removal sequence that fragments a complex network - the network dismantling problem is NP-hard and central to infrastructure resilience. In interdependent multiplex networks, this difficulty is compounded by cascading cross-layer failures. While deep reinforcement learning (DRL) agents utilizing graph neural network (GNN) encoders achieve near-optimal dismantling, current state-of-the-art architectures suffer from two critical limitations. Topologically, existing agents strictly assume undirected edges, rendering them inapplicable to directed systems - such as supply chains or gene regulatory cascades - where failure propagation is fundamentally asymmetric. To resolve this, we propose Disassembling Directed Interdependent Networks (DDIN). DDIN introduces an asymmetric …

Usa V. Brian Burrows

2026 Decisions

USDC for the Eastern District of Pennsylvania

Antioxidant Potential Of A Non-Heme Iron Complex: Mitigating H2O2-Induced Cellular Damage, Magy A. Mekhail, David M. Freire, Cameron Bowers, Grant Elam, Nora Del Bosque, Hannah K. Pyle, Sarah K. Dunn, Spencer Lanyon, Timothy J. Hubin, Giridhar Akkaraju, Kayla N. Green

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Iron complexes with antioxidant activity have garnered significant interest for both general and medical applications, yet few studies have yielded functional nonheme iron-based mimics for H₂O₂ mitigation in aqueous environments. Here, we investigate water-soluble nonheme iron complexes derived from 12-membered pyridinophanes (^CF₃PyN₃, PyN₃, ^NMe₂PyN₃, and Py₂N₂) to evaluate the impact of ligand scaffolds on H₂O₂ decomposition activity both in vitro and in a cellular model. Speciation and kinetic analyses reveal that both electronic and geometric modulation of the macrocyclic …

From Centrality To Sustainability: How Connected Boards Shape Waste Management Outcomes, Irfan Haider Shakri, Anh Tuan Nguyen, Fnu Pratima

Faculty Publications

The escalating climate crisis has elevated waste management from an operational concern to a critical issue of corporate governance. However, the role of board connectedness in shaping firms' waste practices remains largely unexplored. Drawing on resource dependency and social capital theories, this study examines how board network centrality influences waste management practices. Employing pooled OLS on 4948 firm- year observations from US- listed firms during 2004–2023, we find that higher board connectedness leads to a significant reduction in waste generation. Economically, a one standard deviation increase in DEGREE centrality is associated with a 3.4% decrease in total waste generation. Our …

Adding 3,4-Methylenedioxy-Α-Cyclohexylaminopropiophenone To A Standard Operating Procedure (Sop) For Identifying Synthetic Cathinones Using Gas Chromatography-Mass Spectrometry, Napassawon Timpratoom

ETDs from 2020-2029

Synthetic cathinones were identified as new psychoactive substances (NPS) in the early warning advisory system by the United Nations Office on Drugs and Crime (UNODC). Synthetic cathinones have been commonly referred to as bath salts, which offered “legal highs” because they were not explicitly scheduled. These compounds were detected dur-ing the screening process in casework and required internal validation for confirmation. 3,4-methylenedioxy-α-cyclohexylaminopropiophenone was the target analyte for this study. It was alternatively named N-cyclohexyl methylone and “cyputylone." The aim of the study was to validate 3,4-methylenedioxy-α-cyclohexylaminopropiophenone into a Standard Operating Procedure (SOP) for identifying synthetic cathinones using gas chromatography/mass spectrometry …

A Caveat Regarding The Unfolding Argument: Implications Of Plasticity, Viknas N. O'Reilly-Shah, Alessandro Maria Selvitella, Aaron Schurger

Psychology Faculty Articles and Research

The unfolding argument in the neuroscience of consciousness posits that causal structure cannot account for consciousness because any recurrent neural network (RNN) can be “unfolded” into a functionally equivalent feedforward neural network (FNN) with identical input–output behavior. Subsequent debate has focused on dynamical properties and philosophy of science critiques. We examine a boundary condition on the unfolding argument for RNN systems with rapid plasticity in their connection weights. We demonstrate through rigorous mathematical proofs that rapid plasticity negates the functional equivalence between the RNN and the FNN. Our proofs address history-dependent plasticity, dynamical systems analysis, information-theoretic considerations, perturbational stability, complexity …

Usa V. Matthew Sharps

2026 Decisions

USDC for the Eastern District of Pennsylvania

From Scenario To Safety: Simulation As A Catalyst For Infection Prevention, Brianne M. Bachman, Jennifer E. Jones, Jessica L. Mcclusky, Mallory Davis

Posters

Simulation-based education has emerged as a transformative tool in healthcare, bridging the gap between theoretical knowledge and clinical practice.

In the realm of infection prevention, simulation offers a controlled, risk-free environment to reinforce essential protocols, build competency, and identify system level vulnerabilities before harm occurs.

New Studies In Lattice-Based Cryptography, Quantum Algorithms, And Privacy-Preserving Computation, Hansraj Jangir

Electronic Theses and Dissertations 2020 - Present

Classical public-key cryptographic schemes primarily rely on the presumed hardness of the integer factorization and discrete logarithm problems. However, Shor’s algorithm demonstrates that both problems can be solved efficiently on a sufficiently powerful quantum computer. This breakthrough motivated the search for quantum-resistant hard assumptions. The assumptions based on lattices are one of the primary candidates in post-quantum cryptography due to their strong theoretical foundations and well-established hardness against both classical and quantum attacks. In this thesis, we explore several directions of lattice based cryptology and quantum algorithms.

On the construction side, we propose two compact encryption schemes based on the …

Experimental Study Of A Scaled Flexible Riser For Hydrogen Transport From A Floating Wind Turbine Platform To The Seabed, Jessica Guichard, Martyn Hann, Tom Tosdevin, Deborah Greaves

School of Engineering, Computing and Mathematics

Dolphyn Hydrogen aims to support the UK Government’s 2030 hydrogen targets by deploying a 10-15 MW Commercial Scale Demonstrator that produces hydrogen offshore using wind energy. To achieve this, hydrodynamic studies are required to optimise the flexible pipeline transporting hydrogen from a floating wind turbine to the seabed, as well as the buoyancy modules that create the riser’s lazy wave shape. A key parameter is ensuring the riser never bends below its minimum allowable radius. The hydrodynamic behaviour of a 6-inch NOV flexible pipe is tested at 1:62 scale in the University of Plymouth’s COAST Laboratory Ocean Basin. The riser …

Interseismic Creep Along The Enriquillo–Plantain Garden Fault, Haiti, Estimated From Insar, Rishabh Dutta, Jeremy L. Maurer, Yi Chieh Lee

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

The Enriquillo–Plantain Garden fault zone (EPGFZ) is a major left-lateral strike-slip fault in southern Haiti hosting several recent destructive earthquakes, including the 2021 MW 7.1 Nippes event with primary thrust-slip. To investigate how strain is accommodated in the vicinity of the 2021 event, we analyzed Sentinel-1 interferometric synthetic aperture radar (InSAR) data from 2017 to 2021 using a PS + DS (persistent + distributed scatterers) InSAR time-series approach to overcome decorrelation in this highly vegetated region. We reveal interseismic creep along the EPGF and adjacent Grand'Anse–Sud border faults, with pure strike-slip mechanism and rates up to 9 mm/yr. We suggest …

Effects Of Peer Tutoring Training Duration And Group Piano Level On Harmonization And Transposition Achievement And Learning Attitudes Of Undergraduate Non-Keyboard Music Students, Jinnan Liu

LSU Doctoral Dissertations

The purpose of this study was to examine the relationships among peer tutoring training duration, group piano level, and undergraduate non-keyboard music students’ achievement in harmonization and transposition, as well as their learning attitude following peer tutoring. Based on the literature on cooperative learning, peer-assisted learning, and reciprocal peer tutoring, this study examined whether differences in training duration and group piano level were related to student performance and learning experiences in university group piano.

A quasi-experimental 2  2 design was used. The independent variables were peer tutoring training duration (2-day vs. 4-day) and group piano level (Group Piano II vs. …

Junk Journaling For Graphic Designers: Analog Play & Process In An Increasingly Digital Design Landscape, Kristina Rosgen

University Honors Theses

This thesis explores junk journaling as an accessible analog practice for young graphic designers experiencing digital fatigue, creative stress, and perfectionism. Through historical research, a hands-on workshop, and an interactive Readymag website, the project shows how junk journaling can help designers reconnect with play, process, physical materials, and the joy of making.

A System For The Prediction Of Election Results Using Vader And Hybridized Machine Learning Model, Abraham E. Evwiekpaefe, Khadijah Kabir, Georgina N. Obunadike

Tanzania Journal of Science

Integrating different classifiers along with sentiment lexicons like Vader, can enhance the performance of sentiment analysis systems. However, such a hybrid model remains underexplored, particularly in the context of regional elections in developing countries like Nigeria. The aim of this research is to develop a hybrid model that combines three machine learning classifiers and Vader lexicon to possibly achieve a higher accuracy. A case study of the 2023 governorship election in Kogi, Bayelsa and Imo State, Nigeria was examined. Twitter API library was utilized to extracted public and personal tweets using hashtags and keywords related to the target data from …