Digital Commons Network^™

Unveiling Explainable Ai In Healthcare: Current Trends, Challenges, And Future Directions, Abdul Aziz Noor, Awais Manzoor, Muhammad Deedahwar Mazhar Qureshi, M. Atif Qureshi, Wael Rashwan

Research Outputs: 2025-Present

This overview investigates the evolution and current landscape of eXplainable Artificial Intelligence (XAI) in healthcare, highlighting its implications for researchers, technology developers, and policymakers. Following the PRISMA protocol, we analyzed 89 publications from January 2000 to June 2024, spanning 19 medical domains, with a focus on Neurology and Cancer as the most studied areas. Various data types are reviewed, including tabular data, medical imaging, and clinical text, offering a comprehensive perspective on XAI applications. Key findings identify significant gaps, such as the limited availability of public datasets, suboptimal data preprocessing techniques, insufficient feature selection and engineering, and the limited utilization …

Multipath-Enhanced Directional Modulation For Secure Mmwave On-Body Communication, Wasi Ur Rehman Khan, Max J. Ammann, Hossein Raghib Hokmabadi, William Scanlon, Adam Narbudowicz

Research Outputs: 2025-Present

This paper proposes Directional Modulation (DM) for secure millimeter-wave (mmWave) on-body communication, where security is enhanced by leveraging multipath propagation. The double two-ray ground reflection model is employed to analyze a two-antenna Multi-Input Single-Output (MISO) system placed on human skin. The system operates at 24 GHz with polarization tangential to the skin. Key parameters such as antenna-separation, antenna-to-skin spacing and phase difference between transmitter antennas are varied to analyze the resulting path gain. The results obtained from analytical model are experimentally validated using Yagi antennas placed over a forearm phantom. Based on the findings, the DM technique is implemented. The …

Customizable Vr Driving Experiences: Balancing User Comfort And Interactivity, Kaihao Tian

Dartmouth College Master’s Theses

Driving games and vehicle simulations have been a prominent genre in the gaming world, thriving on traditional platforms like consoles and PCs. Despite the advances in virtual reality (VR) technology, the genre has seen limited success in VR, largely due to challenges in balancing user comfort, immersion, and the physical constraints of VR hardware. The primary issue arises from the conflicting goals of interactivity and comfort. While VR offers an immersive, high-speed experience with dynamic steering and rapid movements, these same elements often cause discomfort and cybersickness, undermining the very immersion that VR promises.

This research aims to address these …

Urban Horizons: Navigating Sustainable Practices In 15-Minute Cities, Raul Allen Mejia

Dartmouth College Master’s Theses

Climate change poses a pressing challenge of the modern age. With wide-ranging implications for society, many fields play a role in shaping public policy and fostering awareness about the environmental crisis. One approach, the 15-minute city, aims to ensure that all essential services and amenities are accessible within a 15-minute walk or bike ride. This vision reflects a shift toward more sustainable and resilient urban environments. Cities such as Amsterdam, Boston, and Oxford, in adopting key elements of this concept, present diverse case studies for understanding how 15- minute city frameworks can effectively maximize socioeconomic interests. The analysis of Amsterdam’s …

Floating Signifiers: Ai, Semiotics, And The Crisis Of Meaning In Music, Kehinde Aruwajoye

Dartmouth College Master’s Theses

This thesis examines how AI-generated music disrupts traditional meaning-making processes in musical expression. Through semiotic analysis (Saussure, Peirce) and cultural theory (Hall), I demonstrate how AI produces technically proficient but culturally hollow compositions, what I term "floating signifiers." Case studies reveal AI's inability to replicate the lived experiences that give music its depth, despite accurate stylistic reproductions. The work identifies three fundamental losses: contextual grounding, authentic hybridity, and historical consciousness. I propose ethical frameworks for human-AI collaboration that preserve music's essential humanity while leveraging algorithmic capabilities. Ultimately, this research shifts the debate from technical possibility "Can AI compose?" to cultural …

Motion Planning For A Flexible Modular Raft Robot, Chun-Yi She

Dartmouth College Master’s Theses

This thesis presents a hierarchical motion planning framework for SoftRafts, a modular and deformable aquatic robot capable of performing locomotion and manipulation tasks on water surfaces. SoftRafts consist of soft and rigid components that enable structural reconfiguration, offering adaptability in unstructured aquatic environments.

To address the complexity of planning in high-dimensional, deformable systems, the proposed method uses a bounding-shape abstraction, specifically, enclosing circles and rectangular bounding boxes to simplify motion planning. These enclosures abstract the robot's overall shape, reducing the high-dimensional planning problem into a lower-dimensional problem. A global planner uses a probabilistic roadmap (PRM) to compute a collision-free path …

Toward General Purpose Llms: From Domain Alignment To Multimodal And Multi-Agent Systems, Thang Nguyen

Dartmouth College Master’s Theses

Large Language Models have shown remarkable capabilities, but their generalization across domains, modalities, and collaborative settings remains limited. This work explores how LLMs can be adapted along three dimensions: domain specialization, multimodal processing, and multi-agent reasoning. First, we introduce a reward-guided retrieval mechanism that fine-tunes the retrieval component of a language model using preference-based supervision, improving response relevance in specialized domains. Building on this, we design a multi-agent framework for complex information-seeking tasks, where distinct agents handle query clarification, evidence extraction, and answer synthesis, enabling robust reasoning without additional model training. Extending beyond language, we investigate how LLMs can operate …

Action This Day: The Mathematics And Machinations That Bested The German Enigma, Jonah Weinbaum

Dartmouth College Master’s Theses

This thesis presents a comprehensive and chronological overview of cryptographic techniques designed to break Enigma, beginning in 1932 and culminating in the creation of the Turing-Welchman Bombe. We discuss the mathematical theory and electromechanical implements used to decode one of history's greatest ciphers.

Reexamining the Bombe through the lens of modern group theory, we critique Alan Turing's estimation of the number of "stops" that the Bombe produces for various plaintext-ciphertext pairing structures. To address its limitations, we introduce a new framework for estimating the number of stops by extending John Dixon's theorem concerning the probability that uniformly distributed elements of …

Horizontal Infiltration Of Water Through Porous Snow As A Gravity Current, Anthony Cheng

Dartmouth College Master’s Theses

On the surface of the Greenland ice sheet or around the margins of the Antarctic ice shelf, water infiltrates porous ice. It is important to understand this infiltration process since water populating the pore space of ice directly impacts the density, porosity, and wetness of ice. These properties influence the mechanics and tensile strength of ice, as greater amounts of infiltration result in faster or more widespread deformation events, which may lead to adverse climatic effects such as sea level rise and ocean current disruption. While studies have considered the thermodynamics and fluid mechanics of water vertically percolating through snow …

The Implementation And Miniaturization Of A New Current Source Into The Consolidated Layout Of An Electrical Impedance Tomography Probe With A Novel Approach To Electrode Layout, Katherine M. Bullion

Dartmouth College Master’s Theses

Prostate cancer is the most highly diagnosed form of cancer in male subjects in the United States. As a result, over 100,000 radical prostatectomies are performed annually in the US [1]. However, it is currently very difficult for surgeons to confirm that all impacted tissues have been effectively removed from the patient. Positive surgical margins are an independent risk factor for the recurrence of cancer, yet currently there is no method to efficiently, intraoperatively assess the status of surgical margins during a radical prostatectomy. There is a need for a new tool that is small enough to fit into a …

Psm Holdings V. Tiny Town, Western District Of Washington

Historical and Topical Legal Documents

No abstract provided.

Prof. Ed Lee's Testimony Before The U.S. Senate Committee On The Judiciary Subcommittee On Crime And Counterterrorism, Ed Lee

Historical and Topical Legal Documents

Testimony before the U.S. Senate Committee on the Judiciary Subcommittee on Crime and Counterterrorism Hearing on Too Big to Prosecute?: Examining the AI Industry’s Mass Ingestion of Copyrighted Works for AI Training

In Re Marla C Martin, Northern District Of Illinois Bankruptcy Court

Historical and Topical Legal Documents

No abstract provided.

Trump Organization V. Schedule A Defendants, Middle District Of Florida

Historical and Topical Legal Documents

No abstract provided.

Calise V. Meta, Northern District Of California

Historical and Topical Legal Documents

No abstract provided.

Legalforce V. Mh Sub, Northern District Of California

Historical and Topical Legal Documents

No abstract provided.

Advanced Nanocomposite-Based Electrochemical Sensor For Ultra-Sensitive Dopamine Detection In Physiological Fluids, Megha Shinde, Gymama Slaughter

Center for Bioelectronics Publications

This study presents a novel point-of-care electrochemical sensor for dopamine (DA) detection, featuring a flexible laser-induced graphene (LIG) modified with a unique nanocomposite comprising Nb₄C₃T_x MXene, polypyrrole (PPy), and iron nanoparticles (FeNPs). The LIG-Nb₄C₃T_x MXene-PPy-FeNPs is characterized by scanning electron microscopy to confirm the successful surface modification. The electrochemical performance of the fabricated sensor via cyclic voltammetry showed significant electrochemical activity upon Nb₄C₃T_x MXene-PPy-FeNPs nanocomposite modification of the LIG surface with an increased peak anodic current (Ipa) from 43 μA to 104 μA. The sensor …

An Electrochemical Sensor For Tenofovir Monitoring, Abdellatif Ait Lahcen, Gymama Slaughter

Center for Bioelectronics Publications

Effective monitoring of tenofovir (TFV) adherence is critical for ensuring the success of antiretroviral therapies in preventing and managing HIV, as nonadherence can lead to treatment failure and the development of drug-resistant strains. In this study, a highly sensitive and selective novel biomimetic sensor for TFV determination is developed utilizing laser-scribed graphene (LSG) modified with gold spiky nanostructures (AuNSp) and molecularly imprinted polymer (MIP). The MIP layer is engineered with precise control to maximize molecular specificity for TFV. Electrochemical characterization demonstrates excellent performance, including the broadest linear detection range (10 nM to 200 μM) reported to date with a sensitivity …

Electrochemical Detection Of Prostate Cancer—Associated Mirna-141 Using A Low-Cost Disposable Biosensor, Alexander Hunt, Gymama Slaughter

Center for Bioelectronics Publications

Prostate cancer is the second leading cause of cancer-related deaths among men in the United States. The early detection of aggressive forms is critical. Current diagnostic methods, including PSA testing and biopsies, are invasive and often yield false results. MicroRNA-141 (miRNA-141) has emerged as a promising non-invasive biomarker due to its elevated levels in the urine of patients with metastatic prostate cancer. Here, a low-cost, paper-based electrochemical biosensor for the sensitive detection of miRNA-141 in synthetic urine is reported. The device employs inkjet-printed gold electrodes on photopaper, functionalized with thiolated single-stranded DNA-141 capture probes for specific target recognition. The biosensor …

Laser-Induced Graphene For Early Disease Detection: A Review, Sri Ramulu Torati, Gymama Slaughter

Center for Bioelectronics Publications

Electrochemical biosensors have been instrumental in early disease detection, facilitating effective monitoring and treatment. The emergence of graphene has significantly advanced sensor technology in various fields, including biomedicine, electronics, and energy. In this landscape, laser‐induced graphene (LIG) has emerged as a superior alternative to conventional graphene synthesis methods. Its straightforward fabrication process and compatibility with wearable devices boost its practicality and potential for real‐world applications. This review highlights the transformative potential of LIG in biosensing, showcasing its contributions to the development of next‐generation diagnostic tools for early disease detection. An overview of the LIG synthesis process and its applications in …

Fabrication Of Palladium Decorated Zinc Oxide Nanostructures For Non-Enzymatic Glucose Sensing, Reagan Aviha, Anju Joshi, Gymama Slaughter

Center for Bioelectronics Publications

The growing global burden of diabetes necessitates the development of glucose sensors that are not only reliable and sensitive but also cost-effective and amenable to point-of-care use. In this work, we report a non-enzymatic electrochemical glucose sensor based on laser-induced graphene (LIG), functionalized with zinc oxide (ZnO) and palladium (Pd) nanostructures. The ZnO nanostructures were systematically optimized on the LIG surface by varying electrochemical deposition parameters, including applied potential, temperature, and deposition time, to enhance the electrocatalytic oxidation of glucose in alkaline medium. Subsequent modification with Pd nanostructures further improved the electrocatalytic activity and sensitivity of the sensor. The performance …

Cost-Effective Hierarchical Cobalt Nanostructured Laser-Induced Graphene For Enhanced Uric Acid Detection, Anju Joshi, Gymama Slaughter

Center for Bioelectronics Publications

This study presents an innovative, cost-effective strategy to develop a flexible, enzyme-free biosensor for the sensitive detection of uric acid (UA). Utilizing electrochemically modified cobalt nanostructured on laser-induced graphene electrodes (CoNCs/LIG), this approach surpasses traditional noble metal-based electrocatalysts in sensitivity and affordability. The one-step electrochemical modification method is efficient and straightforward, enabling the uniform deposition of hierarchical flower-like cobalt nanostructures. These structures synergistically enhance the performance of the LIG, resulting in a broad detection range of 5 to 700 µM with a sensitivity of 6.75 µA µM^-¹ cm^-² and a low detection limit of 3.66 µM for UA. …

Fabrication Of Thylakoid Membrane-Based Photo-Bioelectrochemical Bioanode For Self-Powered Light-Driven Electronics, Amit Sarode, Gymama Slaughter

Center for Bioelectronics Publications

The transition toward sustainable and decentralized energy solutions necessitates the development of innovative bioelectronic systems capable of harvesting and converting renewable energy. Here, we present a novel photo-bioelectrochemical fuel cell architecture based on a biohybrid anode integrating laser-induced graphene (LIG), poly(3,4-ethylenedioxythiophene) (PEDOT), and isolated thylakoid membranes. LIG provided a porous, conductive scaffold, while PEDOT enhanced electrode compatibility, electrical conductivity, and operational stability. Compared to MXene-based systems that involve complex, multi-step synthesis, PEDOT offers a cost-effective and scalable alternative for bioelectrode fabrication. Thylakoid membranes were immobilized onto the PEDOT-modified LIG surface to enable light-driven electron generation. Electrochemical characterization revealed enhanced redox …

Molecular Imprinting And Nanomaterial Synergy For Lactate Detection, Christopher Animashaun, Gymama Slaughter

Center for Bioelectronics Publications

Molecularly imprinted polymer (MIP)-based electrochemical sensors have emerged as promising non-enzymatic platforms for the selective and stable detection of clinically and environmentally relevant biomarkers. This review provides a critical, comprehensive analysis of recent advances in MIP-based lactate sensing, with particular emphasis on hybrid systems that integrate conductive nanomaterials including gold and silver nanoparticles, laser-induced graphene, and reduced graphene oxide. These synergistic combinations leverage enhanced surface area, electrical conductivity, and molecular recognition to improve sensor sensitivity, selectivity, and long-term operational stability. Key fabrication strategies, such as electropolymerization, green nanomaterial synthesis, and surface imprinting, are critically examined for their roles in optimizing …

Spatiotemporal Patterns Of Desertification Sensitivity And Influencing Factors Across The Western Inner Mongolia Plateau, China, Yang Chen, Long Ma, Xixi Wang, Tingxi Liu, Zixu Qiao

Civil & Environmental Engineering Faculty Publications

Desertification remains a critical global ecological and environmental challenge that threatens sustainable development. Although our understanding of desertification dynamics and their underlying drivers has improved, continued research is needed due to the region-specific nature of these processes. This study focuses on the Western Inner Mongolia Plateau in China as a case study to examine the evolution of desertification and its driving factors using a multifaceted approach, including the Mediterranean Desertification and Land Use (MEDALUS) model. Results show that the desertification sensitivity index (DSI) across the plateau ranged from 1.12 in prairie regions to 1.87 in desert areas, with a spatial …

A Global Application Programming Interface-Enabled Earthquake Ground Motion Relational Database For Engineering Applications, Tristan E. Buckreis, Chukwuebuka C. Nweke, Pengfei Wang, Scott J. Brandenberg, Maria E. Ramos-Sepúlveda, Rashid Shams, Shako Mohammed, Renmin Pretell, Silvia Mazzoni, Paolo Zimmaro, Jonathan P. Steward

Civil & Environmental Engineering Faculty Publications

We present a application programming interface (API)-enabled relational database of global earthquake ground motion intensity measures, associated metadata, and processed time-series data. Raw ground motion records were processed by the authors using either manual or semi-automated processing procedures, and every processed record has passed a quality review by a trained analyst. Computed intensity measures include peak acceleration and velocity, pseudo-spectral acceleration response spectra, cumulative absolute velocity, Arias Intensity, and Fourier amplitude spectra. The processed time-series data, associated metadata, and ground motion intensity measures were organized into a web-served relational database consisting of 32 tables connected by primary/foreign key pairs. Ground …

The Bioremediation Of Nutrients And Heavy Metals In Watersheds: The Role Of Floating Treatment Wetlands, Nirmal Kumar, Bhupinder Singh, Yuanze Chen, Abishek Kafle, Ram L. Ray, Sandeep Kumar, Xiaonan Shan, Venkatesh Balan

Civil & Environmental Engineering Faculty Publications

Floating treatment wetlands (FTWs) are engineered systems that utilize floating platforms planted with aquatic vegetation to treat polluted water such as stormwater, agricultural runoff, and wastewater. FTWs have emerged as promising and environmentally sustainable solutions for water purification. This review synthesizes the current knowledge on FTW design, plant selection, and performance evaluation. It highlights key factors influencing nutrient and heavy metal removal, including the hydraulic retention time, mat thickness, and types of plant species. Recent findings on the roles of root architecture, microbial interactions, and seasonal variability in treatment efficiency are also discussed. Additionally, the review explores advanced analytical methods …

Laboratory Investigation Of Shape And Initial Orientation Effects On Surf Zone Object Migration, Temitope E. Idowu, Jack A. Puleo

Civil & Environmental Engineering Faculty Publications

Discarded objects like munitions in marine environments pose public safety risks. The behavior of various density objects deployed at four cross-shore positions in the surf zone of a large-scale 120 m x 5 m x 5 m wave flume were observed under different forcing conditions. Net migration was predominantly directed offshore, with approximately 70 % offshore migration observed near the outer surf zone. Density, shape, and initial orientation were identified as important to object behavior, with density acting as the dominant driver in 67 % of the object pairing scenarios. The influence of shape and initial orientation on net migration …

Improving The Psychosocial Work Environment To Prevent Sickness Absence And Turnover In Nurses: A Systematic Review, Laurent Corthésy-Blondin, Alessia Negrini, Samantha Vila Masse, Christine Genest

Revues de littérature, synthèses de connaissances

In nurses, the high rates of sickness absence (SA) and turnover generate staggering costs. Their prevalence could be reduced by acting on the work-related psychosocial factors (WRPFs) that can impact the mental health of nurses and lead to their absences and departures. However, there is a lack of consensus regarding the effectiveness of interventions that target WRPFs from a SA and turnover prevention perspective. This systematic review aims to identify interventions that target WRPFs to reduce SA and turnover in nurses, describe the methods used to evaluate their effectiveness, and report on their effectiveness at improving SA, turnover rates, and …

Developing A Guideline And Feasibility Tool For Highway Infrastructure Readiness For Autonomous Vehicles, Soujanya Pillala

Master's Theses and Doctoral Dissertations

Autonomous Vehicles (AVs) are one of the advanced technologies that is being developed, and infrastructure modifications supporting AVs will be the next major research that is needed. A systematic literature review methodology is used to explore key parameters needed for implementation of AVs. The key parameters are analyzed against economic implications, costs and projected benefits of the integration of Level 4 and Level 5 AVs into the highway system, offering a nuanced understanding of deployment of AV technologies. The research aims at developing a guideline and framework for highway infrastructure readiness for AVs, a toolbox for policy makers and government …