Digital Commons Network^™

The Effect Of Exercise On Cognitive Function In The Elderly, Anna Petersen

Advocate GME

No abstract provided.

Re: Comment Letter For Draft Clark Tailings Consolidated Waste Management Area (Ctcwma) 2024 Data Summary Report (Dated October 15, 2025), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Infrasound From Prescribed Burn In Reynolds Creek Experimental Watershed, Id, Usa, Jacob Anderson, Madeline Hunt

Boise State University Infrasound Data Repository

This dataset includes infrasound recorded during a prescribed fire in Reynolds Creek Experimental Watershed. The purpose of the dataset is to support research assessing methods and usefulness of monitoring wildland fire with infrasound.

National Survey Of Physical Therapists’ Participation As Health Educators In Physical Activity Promotion Among Older Adults, Casey Nicole Mokres

Walden Dissertations and Doctoral Studies

Physical inactivity among older adults remains a major national and global public health concern linked to preventable morbidity, mortality, and rising healthcare costs. Physical therapists are uniquely positioned to promote physical activity (PA) through health education, yet their engagement in this role is not well defined. This quantitative cross-sectional study examined associations between clinical practice factors—years of experience, board certification status, and practice setting—and three domains of the theoretical domains framework (knowledge, skills, and behavioral regulation) related to PA promotion among older adults. The framework guided identification of behavioral and contextual factors influencing therapists’ delivery of PA promotion interventions. Data …

Staff Education To Expand Clinicians’ Knowledge On The Use Of Depression Screening Tools In A Longterm Care Facility, Abibatu Bakarr Bangai

Walden Dissertations and Doctoral Studies

Depression exists as a common yet often undetected mental health issue which affects many elderly residents who live in long-term care facilities. The combination of multiple depression screening tools with inadequate staff training leads to delayed resident diagnosis and produces variable treatment methods which raises the possibility of negative results for residents. This Doctor of Nursing Practice (DNP) project addressed a practice gap related to inconsistent implementation of the Patient Health Questionnaire–2 (PHQ-2) and Patient Health Questionnaire–9 (PHQ-9) through the development and implementation of an evidence-based staff education intervention in a long-term care setting. The research study worked to improve …

Minority Leaders’ Impact On Corporate Diversity And Organizational Change, Nana Kwasi Amponsah

Walden Dissertations and Doctoral Studies

Workplace diversity continues to face criticism due to the limited representation of minority groups, with little progress made in the corporate sector. Despite corporations’ efforts to increase diversity and inclusion in the workplace, a notable lack of minority leadership persists in upper management roles. The purpose of this explanatory sequential mixed-method study was to explore the factors that affect the selection of minority leaders and how corporate executives utilize diversity, equity, and inclusion (DEI) initiatives to foster significant organizational change, even in the face of ongoing underrepresentation in upper management. Social dominance theory, anti-egalitarianism, and social construction theory grounded this …

Marketing Strategy In The Age Of Ai, Mary C. Martin

All Open Educational Resources

Marketing Strategy in the Age of AI is an Open Educational Resource designed to help students master foundational marketing strategy while understanding how artificial intelligence is reshaping marketing practice. The textbook emphasizes core strategic thinking and positions AI as a tool that enhances, rather than replaces, human judgment and decision-making. The book covers key areas of marketing strategy across the marketing mix, including environmental analysis, market research, product development, pricing, distribution, and promotion. Each chapter introduces established marketing frameworks and then explores how AI-driven tools and data improve insight, speed, and effectiveness in real-world marketing decisions. Examples and cases highlight …

A Policy Reversal As Structural Break: A Lesson From China’S Land Lease Financing For Infrastructure, Yilin Hou, Lin Li, Lei Shao

Center for Policy Research

Land-based revenues as a fiscal instrument to finance infrastructure tie public investment to real estate markets, where demand fluctuations cause fiscal consequences. This paper takes policy reversals as structural breaks and examines their impacts on infrastructure investment. We dissect China’s 2016 policy reversal that disallowed developers to finance land purchase with debt, causing sharp declines in local government land revenues, slashing their fiscal base for infrastructure investment. Using prefecture-level panel data and continuous difference-in-differences identification, we estimate the reversal reduced land-lease revenues by 55%. Two-stage least squares estimates suggest a 10% land-revenue decline translates into 6.6% investment reduction. Decomposing the …

Ai In Ocean Traffic Monitoring, Tyler Hawkins, Steven D. Meyers, Aishlin Ingraham, Mark E. Luther

Making Waves REU

The Maritime Automatic Identification System (AIS) produces over 100 terabytes of data annually. offering vital insights into globaJ vessel traffic, identity, and navigation patterns. However, the massive volume and inconsislent quality of AIS data introduce challenges for researchers seeking to extract reliable and applicable information. This study investigates the, effectiveness of Julius Al, an off-the-shelf data science platform, for streamlining the analysis of a ilarge AIS dataset, spanning 2015 to 2019 and covering over 42 million messages from Florida's five busiest ports. The results were compared to a previous human analysis. By leveraging only natural language prompts, we explore how …

Machine Learning-Based Multimodal Biomarkers Enable Accurate Diagnosis And Early Detection Of Pancreatic Ductal Adenocarcinoma, Tsung-Hung Yao, Warapen Treekitkarnmongkol, Nagireddy Putluri, Deivendran Sankaran, Tristian Nguyen, Seetharaman Balasenthil, Mark W Hurd, Meng Chen, Randall E Brand, Paul D Lampe, Abu Hena M Kamal, Vasanta Putluri, Tony Y Hu, Anirban Maitra, Eugene J Koay, Ann M Killary, Subrata Sen, Suprateek Kundu

Faculty, Staff and Students Publications

While there has been some progress on discovering clinically validated biomarkers for early detection in pancreatic ductal adenocarcinoma (PDAC), several challenges remain. Most approaches rely on single-modality biomarkers with limited sensitivity and/or specificity. Using data from a multicenter study with an age-matched cohort (n = 203 with healthy controls n = 46, pancreatitis controls n = 36, and diagnosed cases n = 121), we developed a machine learning approach integrating 2,096 microRNAs, 125 metabolites, and CA19-9. Our method performs unsupervised selection of an optimal subset of biomarkers with maximal discriminatory power for diagnosis and early detection. In training data, the …

Experimental And Simulation Analysis For Different Pot-In-Pot Indirect Heating Scenarios For Cooking Applications, Pamella K. Kajumba, Jimmy Chaciga, Denis Okello, Karidewa Nyeinga

Tanzania Journal of Science

The paper presents simulation and experimental results to demonstrate heat transfer performance during cooking that can be practical in pot-in-pot arrangements for indirect cooking/heating. The cases included single pots, pot-in-pot with oil, and pot-in-pot with no oil. The aim was to optimize the heat transfer through conduction and the cooking process for a recently developed small-scale sensible heat storage system integrated with a cooking unit. Cooking experiments reported were carried out using an electric hot plate with a power rating of 1.8 kW, 220V. Temperature measurements were recorded using a TC-08 data logger. The heating rates were analyzed for the …

Water Budget For Monitored Watersheds At The Edwards Aquifer Authority Field Research Park: Report For The Edwards Aquifer Authority, Keagan Farrell, Tatiana Flores, Isabella Lopez, Kemerling Obregon Lucio, Gisele-Elizabeth Perez, Andrea Realyvasquez, Magali Rodriguez, Kelly Swyers, Adan Vasquez

Hydrogeology

The purpose of the study was to determine the change in storage of two water sheds after the impact of two rain events, considering factors such as rainfall, discharge and infiltration, and evapotranspiration. The two sub-watersheds, located on the Edward’s Aquifer Authority Field Research Park, each had a weir. The larger of the two watersheds was named Watershed 1, while the smaller one was named Watershed 2. Watershed 1 was where the weir named Arnold was located, while watershed 2 was where the weir named Danny was located. Inflow and outflow were calculated by analyzing precipitation data and water flow …

Pathways, Outputs And Impact Of Nih-Supported Bioinformatics And Genomics Graduate Trainees In Africa, Daudi Jjingo, Andrew Walakira, Suhaila Hashim, Cisse Cheickna, Ronald Galiwango, Caleb Kibet, Florence N Kivunike, Gerald Mboowa, Fredrick Elishama Kakembo, Babajide Ayodele, Jean-Baka Domelevo Entfellner, Santie De Villiers, Karen Wambui, Segun Fatumo, Tinashe Chikowore, John Mukisa, Alfred Ssekagiri, Nicholas Bbosa, Julius Mulindwa, Samuel Kyobe, Mike Nsubuga, Grace Kebirungi, Eric Katagirya, Savannah Mwesigwa, Ibra Lujumba, Rogers Kamulegeya, Samuel Kirimunda, Stephen Kanyerezi, Shahiid Kiyaga, Ivan Sserwadda, Davis Kiberu, Bernard S Bagaya, Julius Okwir, Patricia Nabisubi, Grace Nabakooza, Mugume Twinamatsiko Atwine, Ricard Sserunjogi, Rolanda Julius, Mariam Quiñones, Meghan Mccarthy, Phillip Cruz, Karlynn Noble, Christopher J Whalen, Darrell Hurt, Maria Y Giovanni, Michael Tartakovsky, Deogratius Ssemwanga, John M Kitayimbwa, Steven J Reynolds, Christopher C Whalen, Andrew Kambugu, Neil A Hanchard, Li Jian, Peter Amoako-Yirenkyi, Graeme Mardon, I King Jordan, Samson Pandam Salifu, Mamadou Wele, Ezekiel Adebiyi, Jeffrey G Shaffer, Seydou Doumbia, David Patrick Kateete, Michelle Skelton, Nicola Mulder, Jonathan K Kayondo, Daniel Masiga, H3africa Consortium

Faculty, Staff and Students Publications

Global biomedical and health research is increasingly relying on genomic and computational approaches, largely driven by the increasing volumes of nucleic acid sequencing. Concurrently, epidemiological studies and clinical records are generating enormous amounts of data amenable to disease modeling, machine learning, and artificial intelligence techniques. Bioinformatics and data science expertise is therefore essential for improved population health. Accordingly, in 2012, the US National Institutes of Health (NIH) in partnership with the Wellcome Trust, and with support from the African Society for Human Genetics, initiated the H3Africa (Human Heredity and Health in Africa) consortium. One of its key goals was to …

Characterization Of Inflammatory Pseudotumors In A Large Animal Model Of Liver Cancer, Erik N K Cressman, Samantha Hicks, Natalie W Fowlkes, Danielle L Stolley, Maria Sophia Stenkamp

Faculty, Staff and Student Publications

Background: The development of relevant and robust large animal models of hepatocellular carcinoma is needed to test new therapeutic strategies for this disease. Transgenic approaches hold promise in addressing this complex problem. One such model, the Oncopig, has been reported to develop tumors of up to 4 cm in diameter within 7-14 days at sites of in situ vector inoculation. However, the resulting lesions reportedly contained an extensive inflammatory component that has not been evaluated in detail.

Methods: Herein, we describe our results from multiparametric characterization of the lesions generated using liver biopsy cores incubated in vector solution and replaced …

Bayesian Multi-Cell Type Models For The Analysis Of Complex Immune Cell Populations With Application To Ovarian Cancer., Chase J. Sakitis, Jose Laborde, Julia Wrobel, Alex C. Soupir, Christelle M. Colin-Leitzinger, Benjamin G. Bitler, Mary K. Townsend, Andrew B. Lawson, Joellen M. Schildkraut, Shelley S. Tworoger, Kathryn L. Terry, Lauren C. Peres, Brooke L. Fridley

Manuscripts, Articles, Book Chapters and Other Papers

To understand how the tumor immune microenvironment (TIME) impacts clinical outcomes and treatment response, researchers have been leveraging single-cell protein multiplex imaging techniques. These technologies measure multiple protein markers simultaneously within a tissue sample, providing a more complete assessment of the TIME. However, statistical challenges arise from the over-dispersed and zero-inflated nature of the data and from relationships among different immune cell populations. To address these challenges, we developed a Bayesian hierarchical method using a beta-binomial (BB) distribution to model the abundance of multiple immune cell types simultaneously while incorporating relationships and immune cell differentiation paths. We applied the model …

Single‐Use Versus Multiple‐Use Endotracheal Suction Catheters In Mechanically Ventilated Patients: A Feasibility Randomised Controlled Trial, Mohamed H. Eid, Kevin Hambridge, Patricia Schofield, Jos M. Latour

School of Nursing and Midwifery

BackgroundIn resource-limited settings, single-use open endotracheal suction catheters are commonly used multiple times. The current evidence of this practice on ventilator-associated pneumonia (VAP) among mechanically ventilated patients remains unclear.AimThe aim of this study was to test the feasibility of single-use and multiple-use endotracheal suction catheters flushed with chlorhexidine versus standard care (multiple-use endotracheal suction catheters flushed with normal saline) to reduce VAP in resource-limited intensive care units (ICUs) and evaluate study methods for designing a future definitive randomised controlled trial (RCT).Study DesignA three-armed feasibility RCT was conducted in three ICUs at a university hospital in Egypt.ResultsSixty mechanically ventilated patients were …

Understanding Recruitment To A Randomised Controlled Trial (Rct) During Liver Transplantation: An Observational Mixed-Methods Study Within A Trial (Swat), Katherine Elizabeth Sarah Coppack, Ilya Kantsedikas, Edgar Brodkin, Ee Neng Loh, Gareth Ambler, Suneetha Ramani Moonesinghe, Jeremy Fabes, Vivienne Hannon, Michael Spiro, Duncan Wagstaff

Peninsula Medical School

Objectives Perioperative randomised controlled trials (RCTs) in liver transplantation are relatively infrequent. RCTs performed in this complex patient population need to be robustly conducted to maximise patient benefit and graft utility given the scarcity of donor organs. Recruitment challenges can compromise RCTs and studies in this population face unique challenges due to recipient illness severity, their comorbidities, demographics and the geographical constraints of specialist transplant centres. Emergency presentation and after-hours admission may further limit patients’ capacity or readiness to consider trial participation. This Study Within a Trial (SWAT) specifically explored motivators and barriers to recruitment in patients awaiting liver transplantation.Design …

Behavioral Responses Of Goose-Beaked Whales (Ziphius Cavirostris) To Simulated Military Sonar, Brandon Southall, Robert Schick, William Cioffi, Stacy Deruiter, Heather Foley, Catriona Harris, Anne Harshbarger, J Joseph, T Margolina, Doug Nowacek, Nicola Quick, Zach Swaim, Len Thomas, Danielle Waples, Daniel Webster, Jillian Wisse, Andrew Read

School of Biological and Marine Sciences

We report direct measurements of changes in diving and movement behavior for 53 goose-beaked whales (Ziphius cavirostris) in relation to experimentally controlled mid-frequency (3–4 kHz) active sonar (MFAS) signals. These signals simulate powerful Navy sources that have been associated with multiple mortal stranding events for this species. We deployed a multi-scale combination of tags to monitor individual whales, including 50 long-duration (weeks), coarse-resolution satellite-transmitting tags and 3 short-duration (hours), high-resolution archival depth, orientation, and acoustic tags. We evaluated behavioral responses during 13 experimental trials (9 MFAS; 4 no-MFAS controls), resulting in 72 exposure events; some individuals were exposed in multiple …

Defective Dna Damage Response Is A Targetable Therapeutic Vulnerability In Esr1 Mutant Breast Cancer, Sarah K Herzog, Jessica H Stevens, Guowei Gu, Sandra L Grimm, Kloma Cardoza, Autumn G M Hawkins, Hangqing Lin, Daniela Ramos, Amanda R Beyer, David G Edwards, Derek Dustin, Harry J Yang, Nicole Liang, Ashfia F Khan, Tasneem Bawa-Khalfe, Daniel J Mcgrail, Shiaw-Yih Lin, Cristian Coarfa, Suzanne A W Fuqua

Faculty, Staff and Student Publications

ESR1 mutations are the leading cause of endocrine therapy resistance and progression in ER-positive metastatic breast cancer. ESR1 mutations are detected in ~50% of metastatic breast cancer patients, and identification of effective targeted therapeutics are critically needed. Here, we identified enrichment of dysregulated replication stress and DNA damage responses in multiple ESR1 mutant models. Targeting the replication stress response utilizing checkpoint inhibition in combination with PARP inhibition synergistically suppressed growth, induced cell cycle arrest, and attenuated DNA replication. PARP inhibition blocked metastatic dissemination in vivo and reduced both PARP1 and ER-regulated protein expression. PARP trapping by olaparib treatment with or …

Loss Of Kdm6a-Mediated Genomic Instability And Metabolic Reprogramming Regulates Response To Therapeutic Perturbations In Bladder Cancer, Pratishtha Singh, Ranit D'Rozario, Bidisha Chakraborty, Swadhin Meher, Deblina Raychaudhuri, Aminah J Tannir, Yang Li, Anurag Majumdar, Jessalyn Hawkins, Yun Xiong, Philip Lorenzi, Padmanee Sharma, Kadir Akdemir, Patrick Pilie, Abhinav K Jain, Byron Hing Lung Lee, Sangeeta Goswami

Faculty, Staff and Student Publications

Mutations in epigenetic regulators are common in bladder cancer, yet their impact on therapeutic responses remains unclear. Here, we identify that loss-of-function mutations in KDM6A, a histone demethylase altered in about 26% of advanced bladder cancers, are associated with poor survival after cisplatin chemotherapy, whereas they correlate with improved outcomes with anti-PD-1 therapy. Using CRISPR-Cas9-engineered murine and human bladder cancer models, we show that KDM6A deficiency increases formation of extrachromosomal circular DNA carrying chemoresistance loci, promoting cisplatin resistance. In parallel, KDM6A loss impairs DNA repair and rewires tumor metabolism, reducing glycolysis and lactate output. This metabolic shift diminishes histone lactylation …

3d Reconstruction Of Spatial Transcriptomics With Spatial Pattern Enhanced Graph Convolutional Neural Network, Chen Tang, Yuansheng Zhou, Xue Xiao, Lei Dong, Lei Yu, Qiwei Li, Guanghua Xiao, Lin Xu

Faculty, Staff and Student Publications

Spatially resolved transcriptomics (SRT) is a promising new technology that enables simultaneous analysis of gene expression and spatial information for biomedical research. However, the existing statistical and deep learning algorithms used for analyzing SRT data rely solely on two-dimensional (2D) spatial coordinates, which limits their ability to accurately identify spatial domains, spatially variable genes (SVGs), cell-to-cell communications, and developmental trajectories in a three-dimensional (3D) spatial manner. To address these limitations, we introduced Spa3D, which utilized the anti-leakage Fourier transform and graph convolutional neural network model to reconstruct 3D-based spatial structures from multiple 2D SRT slices. We demonstrate that Spa3D is …

Change Detection In An Electronic Device Using Resonant Frequency Analysis, Alan She

Defensive Publications Series

Detecting internal physical changes in an electronic device (e.g., a smartphone, smart watch, wearable device) may be difficult with some conventional methods, and is often limited to chemical or electrical monitoring that fails to detect structural changes. A system can perform a mechanical resonant frequency analysis using existing hardware components, such as a haptic actuator and one or more sensors (e.g., an accelerometer, a microphone). The haptic actuator can be configured to generate a vibrational stimulus across a range of frequencies, while the sensors can measure the device's corresponding response. This measured response data can be processed to generate a …

Multi-Agent System For Cognitive Work Automation Using An Adversarial Review Panel, Tanmay Kayande, Laura Hartney

Defensive Publications Series

This disclosure describes systems and methods for a multi-agent framework that can automate and scale cognitive work. The framework can, for example, use a cognitive assembly line of specialized computational agents to perform tasks such as research and drafting. A beneficial component could be an adversarial review panel (ARP), which is a multi-agent review system where distinct agent personas critique a generated draft from varied perspectives. The structured feedback from the ARP can be used to automatically iterate on and refine the work product. This approach can improve the intellectual rigor of generated content and reduce the time required for …

Advertising Targeting System For Products Dynamically Synthesized From User Specifications, Lakshmi Kumar Dabbiru, Sneha Sripadaraja Kudli

Defensive Publications Series

Online advertising systems that rely on static product catalogs may have challenges serving advertisements for custom products specified by users in real-time. A technical framework can use an image synthesis engine to generate a product image based on user input, such as text or images. This dynamically generated image may then function as an ad creative. An advertiser targeting module can match the creative to eligible advertisers who may validate the design, for example, through a real-time application programming interface call, and return dynamic metadata like pricing and material options. This system can facilitate the presentation of transactable offers for …

Centralized Qr Trust Repository (Cqtr) With Merchant Name Uniqueness For Fraud Prevention In Qr Code Payments, Alok Roy Mr

Defensive Publications Series

The disclosed systems and methods use a Centralized QR Trust Repository (CQTR) for securing and streamlining merchant onboarding and transaction validation, and to address critical challenges in QR-based payments such as cross-acquirer fraud and counterfeit QR codes system performs transaction validation. At the time of onboarding, merchant details such as merchant or business name, account information, and KYC are collected by client servers and CQTR conducts uniqueness validation to ensure name uniqueness across all acquirers. CQTR performs similarity checks, including fuzzy matching and phonetic analysis and prevents duplicate registrations. After successful validation, CQTR generates and registers unique QR codes static …

Continuous Ambient Microphone Calibration Via Opportunistic Broadband Auditory Icons, Rajeev Nongpiur, Chris Breithaupt

Defensive Publications Series

Performance drift in microphone arrays is often caused by environmental factors such as dust, moisture, and grime accumulating over time. This spectral mismatch degrades the performance of spatial audio algorithms that rely on precise array calibration. To address this limitation, a continuous calibration method is disclosed wherein broadband earcons are opportunistically played through device speakers. Audio responses are recorded by on-device microphones during defined user scenarios. A background model is generated to filter out environmental noise and room reverberation from these recordings. Subsequently, the filtered in-field measurement is compared against a reference factory template to estimate spectral deviation. A calibration …

Thermodynamic Stability Modulates Chaperone-Mediated Disaggregation Of Α-Synuclein Fibrils, Celia Fricke, Antonin Kunka, Rasmus K Norrild, Shuangyan Wang, Thi Lieu Dang, Jonas Folke, Mohammad Shahnawaz, Claudio Soto, Susana Aznar, Anne S Wentink, Bernd Bukau, Alexander K Buell

Faculty, Staff and Student Publications

Aggregation of the intrinsically disordered protein alpha-synuclein into amyloid fibrils and their subsequent intracellular accumulation are hallmark features of several neurodegenerative disorders, including Parkinson's disease, for which no curative treatments currently exist. In this study, we investigate the relationship between fibril morphology, thermodynamic stability, and susceptibility to disaggregation by the human chaperone system comprising HSP70, DNAJB1, and Apg2. By varying assembly conditions and incubation times, we generated alpha-synuclein fibrils with diverse morphological and biochemical properties, including a broad range of thermodynamic stabilities, which we quantified using a chemical depolymerization assay. The chaperone system effectively disaggregated three of the four fibril …

Assessing The Effects Of Ehealth Literacy And The Area Deprivation Index On Barriers To Electronic Patient Portal Use For Orthopedic Surgery: Cross-Sectional Observational Study, Audrey Lynn Litvak, Nicholas Lin, Kelly Hynes, Jason Strelzow, Jeffrey G Stepan

2020-Current year OA Pubs

BACKGROUND: As electronic patient portals (EPPs) continue to gain popularity and systems transition to online tools for scheduling, communication, and telehealth, patients without access or skills to use these tools may be overlooked.

OBJECTIVE: This study analyzed patient and neighborhood-level factors, including eHealth literacy level and the Area Deprivation Index (ADI), that may limit EPP access for orthopedic surgery.

METHODS: A cross-sectional, survey-based study was performed at a single urban tertiary academic medical center in the United States across foot and ankle, hand and upper extremity, and orthopedic trauma subspecialty clinics from June 21, 2022, to August 12, 2022. Survey …

Partial Threaded Barrel Nut With Hollow Spacing Along Unthreaded Portion Concept, Anonymous

Defensive Publications Series

Current bolts and nuts used to attach vehicle parts experience failure during crash due to bolt over constrained by the nut. New design of barrel nuts to reduce bolt loads under crash events by reducing bolt constraints (more of the bolt shaft can deform) is presented. Update the thread location to be further away from the head and creating a hollow space between the bolt and the nut before the starting of the thread enables bolt to deform more, subsequently reduce shear load, failure risk and keep the integrity of vehicle’s major structures.

Integrated Road Usage Fee Management Within Digital Navigation Systems, Paula Marques

Defensive Publications Series

Digital navigation systems may identify routes with fee-based road segments, such as tolls or vignettes, but may not provide an integrated method for payment. This can result in a fragmented and manual process for drivers with varied and unfamiliar payment systems. A system is described for integrating road usage fee management within a digital navigation service. The system can utilize a route analysis engine to identify fees, a client-side geofencing module on a computing device (e.g., a smartphone, smart watch, wearable device, in-vehicle infotainment system, augmented reality glasses, etc.) To detect a vehicle's entry into a fee-based zone, and a …