Digital Commons Network^™

Wind Tunnel Test On Wind-Resistant Performance Of Suspended Monorail Cable-Stayed Bridge, Chen Yujiang

Journal of China & Foreign Highway

To investigate the wind-induced vibration of a suspended monorail bridge,a full-bridge aeroelastic model at a 1∶40 scale was designed and fabricated according to the geometrical parameters and dynamic characteristics of the real bridge.Wind tunnel tests on the bridge in both the completed state and the maximum cantilever state were conducted under different conditions,including uniform flow and turbulent flow,yaw angles of ± 45°,±30°,±15°,and 0°,and wind attack angles of ‒ 3°,0°,and + 3°.Both vertical and torsional displacements of the structure under different wind speeds were measured.The test results show that the vertical displacements and torsional responses of the cable-stayed bridge increase when …

Research On Autonomous Deviation Correction Of Tunnel Boring Machines And Parameters Based On Machine Learning, Zhang Jun, Li Maopeng

Journal of China & Foreign Highway

In order to solve the problem of realizing the autonomous deviation correction of tunnel boring machines (TBMs ), a TBM deviation correction control method that integrated the random forest (RF) algorithm with the genetic algorithm (GA) was proposed based on actual engineering data.The method combined a prediction model with an optimization model,using target deviation values as input to invert and output the required TBM deviation correction parameter values,thereby further improving the automation level of TBM deviation correction.By comparing it with the actual data,the feasibility of the model was verified.The results show that the RF algorithm-based prediction model achieves an R2 …

Study On Mechanical Effect Of Backfill Construction In Orthogonal Underpass Section Of An Open-Cut Interchange Tunnel, Li Qingda, Li Dexing, Yu Tingshun, Han Xi, Liu Jiansong

Journal of China & Foreign Highway

This study investigated the mechanical effects of backfill construction in the orthogonal underpass section of a full-section complex open-cut interchange tunnel.The research was based on the small-clear-distance interchange tunnel project at the extension section of Jinzhou Avenue and Xingguang Avenue in Chongqing.A combined approach of numerical simulation and on-site in-situ test measurement was adopted to analyze the influence of different backfill materials,tunnel cross-section types,and complex construction procedures on the mechanical behavior of the underpass tunnel.The mechanical effects of backfill construction in the orthogonal underpass section were determined.The following findings are revealed:During the backfill construction process,the displacement and internal force of …

Research On Automatic Review Method Of Highway Bim Based On Knowledge Graph, Wang Wuyu, Shao Kebo, Zhang Feng

Journal of China & Foreign Highway

Building information modeling (BIM ),characterized by multi-dimensional modeling and multi-source data integration,is becoming a key technology to promote the innovation and digital transformation of the highway design industry.Taking BIM as the design deliverable is an inevitable trend in the future development of highway engineering design.However,the current highway BIM review is mainly conducted manually,which brings about problems such as low efficiency,susceptibility to errors,and high subjectivity.This makes it difficult to adapt to the review requirements of the three-dimensional (3D) digital design mode.To this end,this study proposed an automatic review method of highway BIM based on a knowledge graph.By constructing the knowledge graph …

Research On Multi-Classification Prediction Of Traffic Accident Severity On Mountainous Expressways, Wang Hao, Yan Jie, Guo Jianmin, Zhang Yu, Sun Chengji

Journal of China & Foreign Highway

To enhance the safety level of mountainous expressways and establish an accurate and effective prediction model for traffic accident severity,this study analyzed 2 484 traffic accidents on mountainous expressways in Chongqing from 2010 to 2016.A total of 17 influencing factors were selected from four aspects:human,vehicle,road,and environment,to serve as explanatory variables.Partial proportional odds model,random forest algorithm,and XGBoost algorithm were used to construct multi-class prediction models for traffic accident severity.The model performance was evaluated using the confusion matrix,accuracy,and minority class recall rate.The results show that the XGBoost model achieves the highest prediction accuracy in multi-class prediction of traffic accident severity on mountainous …

Application And Analysis Of Energy-Conservation And Carbon-Reduction Technologies In Green Highways, Huang Xuewen, Wang Kai, Huang Shanqian, Xiong Xinzhu, Fu Jinsheng

Journal of China & Foreign Highway

To improve the low-carbon development level of highway engineering,this study relied on a typical green highway in Anhui Province and established a calculation model for energy-conservation and carbon-reduction in highway engineering based on the emission factor method.A combination of quantitative and qualitative approaches was adopted to evaluate the benefits of 33 energy-conservation and carbon-reduction technologies in reducing life cycle energy consumption and carbon emissions,based on life cycle assessment (LCA ) theory.The results show that during the material production stage,through channel resource coordination and the application of low-carbon,energy-saving materials,comprehensive reductions in the embodied carbon can be achieved.During the construction stage,energy consumption …

Reference And Inspi Ration From Low-Carbon Development Experience Of Foreign Highway Infrastructure, Lu Chunying, Gao Shuohan, Du Xueyua N, Jian Li, Wang Xinjun, Kong Yaping

Journal of China & Foreign Highway

In order to provide supp ort for the scie ntific formulation of low-carbon highway infrastructure development policies in China,empirical analysis,comparative analysis,and other methods were utilized,and the construction goals and action strategies of low-carbon highway infrastructure in the United Kingdom,the United States,and Australia were sorted out.Advanced experience in the development of low-carbon highways abroad was summarized.On this basis,combined with the current situation and existing problems of low-carbon development of China ’s highway infrastructure,the following countermeasures and suggestions were proposed:① strengthening top-level design and formulating low-carbon development goals and paths;② implementing the concept of life cycle and strengthening the research and promotion …

Traffic Consulting Research For Overseas Toll Road Investment And Mergers & Acquisition Projects, Wu Lei, Yan Feng

Journal of China & Foreign Highway

In recent years,the “investment,construction and operation integration ” model has gradually become the mainstream for overseas infrastructure projects.This paper aims to provide a reference for traffic consulting in overseas toll road investment and merger & acquisition projects.Taking the traffic assessment of a project in Indonesia as an example,this study evaluated and revised the forecast results in the Traffic Volume Forecast Report.In the absence of base-year OD (origin-destination ) matrix data,the evaluation was conducted based on field survey results and the forecasted future-year OD data of toll station entrances and exits in the report,combined with economic forecasts from international financial institutions.Three …

Analysis And Control Of Impact Of Wide Waterway Excavation On Adjacent Bridge Pile Foundations, Zhang Peisheng, Qiao Lyu, Sheng Jianchao, Sheng Haoxiang, Liu Hanchen, Wang Zhe

Journal of China & Foreign Highway

When excavating a waterway beneath an existing bridge,the pile foundations are subjected to unloading from excavation and the loading from the superstructure,which may lead to excessive displacement and potential safety hazards.Based on the underpass project of the Desheng Expressway Bridge along the Zhejiang section of the Beijing ‒ Hangzhou Canal,this study established a three-dimensional finite element model (FEM ) and combined it with field monitoring to investigate the impact of wide waterway excavation on adjacent bridge pile foundations and corresponding control measures.A novel combined control method involving a retaining wall with supporting piles and fully enclosed isolation piles was proposed.The …

Influence Of Horizontal Curve Radius On Vehicle Fuel Consumption And Pollutant Emissions On Tw O-Lane Highways, Tu Shengwen, Lei Meimei, Guo Wenyu

Journal of China & Foreign Highway

To investigate the influence of horizontal curve radius on vehicle fuel consumption and pollutant emissions on two-lane highways,this study developed a model based on running speed theory,vehicle driving dynamics,and a fuel consumption and emission analysis system.Fuel consumption and emissions of CO2,CO,HC,and NOx were calculated for a passenger car traveling along horizontal curves under three design speeds:40 km/h,60 km/h,and 80 km/h.The results show that the horizontal curve radius has a significant effect on vehicle fuel consumption and pollutant emissions.The trends of fuel consumption,CO2,and NOx emissions vary consistently with curve radius,while CO and HC emissions follow a similar but different trend.At the …

Learning Structure With Multivariate Information Bottleneck And Exploration Of New Methods In Sequential Decision Making, Volodymyr Makarenko

Master's Theses

Research in useful information extraction has been motivated by the increasing demand to extract insights from unstructured data, and by the need to store and transmit great volumes of information, often originating in unstructured data such as videos. Research in rate distortion and information bottleneck paved the path for understanding and guiding the design of lossy encoders, capable of extracting relevant information. Independently, research in deep representation learning has enabled numerous applications for unstructured high-dimensional data such as images. However, the interpretability of the deep learning methods remained limited. Several desired properties of learned representations have been suggested, including disentanglement. …

Spectroscopy Pre-Trained Transformer (Specpt): A Universal Spectroscopic Analysis And Redshift Measurement Framework, Rohan Pattnaik

Theses

Spectroscopic surveys are essential for measuring galaxy redshifts and probing the physical processes driving galaxy evolution. As datasets grow in scale and complexity, traditional analysis methods face increasing limitations, motivating the development of scalable, data-driven alternatives. This thesis presents SpecPT, a transformer-based deep learning framework for general-purpose spectroscopic analysis, with a focus on redshift estimation. The model is first trained on DESI Early Data Release spectra from the Bright Galaxy and Emission Line Galaxy samples, jointly performing spectral reconstruction and redshift regression while learning a latent representation that captures the intrinsic properties of galaxies. SpecPT is then extended to a …

Health Tourism Facility Use Of Digital Marketing And Ai, David Vequist Iv

Visions in Leisure and Business

The proliferation of social media platforms has fundamentally reshaped patient acquisition strategies in health and wellness tourism, creating unprecedented opportunities for providers to engage with international patients across diverse digital channels. From boutique clinics in Mexico offering specialized dental, cosmetic, and bariatric procedures, to destination medspas providing aesthetic treatments, and even comprehensive global hospitals like the Mayo Clinic, healthcare providers are leveraging multi-platform social media strategies to attract and inform potential medical travelers. Research indicates that these digital marketing approaches now encompass a sophisticated array of content formats, including short-form video on TikTok, professional imagery on Instagram, long-form educational content …

Flowing Progress: Transforming The Danube Through Infrastructure, Stefan Dorondel, Luminita Gatejel

Central European Studies

Flowing Progress: Transforming the Danube Through Infrastructure focuses on how different political regimes and forms of governance have imagined and technologically transformed the most international river in the world. Multidisciplinary and drawing on methodologies of history, anthropology of infrastructure, and science, technology, and society, this collection explores the tensions between the river and its natural pulses, the humans that populate its floodplains, state agencies, and infrastructure. The book engages the concept of disturbance to point out the circular and spiraling dynamics between hydrological processes and technopolitical and economic practices. Disturbance denotes a specific type of long-term dynamic between human attempts …

Autonomous Uav Swarm Formation Utilizing Gradient-Driven Contour Mapping For Radiation Source Localization, Edgar Amalyan

UNLV Theses, Dissertations, Professional Papers, and Capstones

This thesis presents a drone swarm for radiation mapping to aid source localization. The Department of Energy advocates employing UAVs for this task, but existing approaches remain inefficient and impractical in real-world scenarios. Three custom drones are built and flight-tested. A control algorithm to follow a contour, a constant-intensity path, is designed using a gradient fit. By knowing the source’s direction, the drone swarm can fly in the optimal trajectory at every step, leaving nothing to assumption. A program is created that implements formation flight and autonomous navigation. It is tested via a software-in-the-loop simulation utilizing radiation sources and detectors …

The Dropbot: Design And Development Of A Custom Drone For Precision Water Drop Penetration Time (Wdpt) Testing, Mugundan Prakash

UNLV Theses, Dissertations, Professional Papers, and Capstones

Assessing the hydrophobic characteristics of soil is vital for understanding soil wettability or soil-water interactions, particularly in post-wildfire environments where water repellency can significantly impact ecosystem recovery, water infiltration, and erosion control. One key metric in soil wettability studies is the Water Drop Penetration Time (WDPT) test, which evaluates the hydrophobicity of soil and guides land treatment strategies. This thesis presents the design and development of DropBot, a custom-built drone platform engineered for the precise delivery and analysis of water droplets in WDPT tests.The DropBot, a custom drone, integrates a lightweight, 3D-printed frame with a self-leveling platform, enabling consistent droplet …

The Effectiveness Of Kolmogorov–Arnold Networks In The Healthcare Domain, Vishnu S. Pendyala, Nivedita Venkatachalam

Faculty Research, Scholarly, and Creative Activity

Kolmogorov–Arnold Networks (KANs) have recently emerged as a powerful alternative to traditional Artificial Neural Networks (ANNs), offering superior accuracy and interpretability, which are two critical requirements in healthcare applications. This study investigates the effectiveness of KANs across a range of clinical tasks by applying them to diverse medical datasets, including structured clinical data and time-series physiological signals. Compared with conventional ANNs, KANs demonstrate significantly improved performance, achieving higher predictive accuracy even with smaller network architectures. Beyond performance gains, KANs offer a unique advantage: the ability to extract symbolic expressions from learned functions, enabling transparent, human-interpretable models—a key factor in clinical …

A Study Of Wear Measurement And Life Prediction Of Insert Chute Liner On Gold Ore Processing, Ferry Ardika Natanael, Nony Maulidya, Dedi Priadi

Journal of Materials Exploration and Findings

Chutes are critical materials handling assets to transport solid particles from one process step to another in mineral processing, coal mining and cement industries. The material transport, because of material characteristics, cause severe wear on internal lining of chutes or bins’ structure. The wear problem on internal lining of bins or chutes needs to be checked to keep production efficiency. Therefore, not checked wear rate causes liner replacement schedule becomes unpredictable. It leads to production loss and highly cost maintenance in industry. This study shows that condition-based maintenance through regular thickness measurement using Ultrasonic Transducer (UT) to predict life service …

Analysis Of Leak Testing Planning For Carbon Dioxide Piping Systems In The Development Of Carbon Capture, Utilization, And Storage Facilities In The Bintuni Basin, Devi Sentiani, Akhmad Herman Yuwono Professor

Journal of Materials Exploration and Findings

Carbon Capture, Utilization, and Storage (CCUS) technologies have become a key strategic response to global efforts to reduce CO₂ emissions. This study presents a leak testing strategy designed for a carbon dioxide (CO₂) piping system as part of a Carbon Capture, Utilization, and Storage (CCUS) project in the Bintuni Basin, West Papua, Indonesia. This study aims to ensure the system is properly prepared before commissioning by designing a leak test plan that is both practical and technical, based on ASME B31.3, ASME PCC-2, and API STD 520 Part 1. We conducted the process, which involves identifying the system boundaries, …

From Microns To Mons: Investigating Airless Body Surface Properties And Processes, Autumn N. Shackelford

Graduate Thesis and Dissertation post-2024

Understanding how airless bodies have evolved in the space environment is essential for interpreting remote sensing data and constraining the weathering processes that alter airless body surfaces over time. This dissertation utilizes coordinated experimental, observational, and analytical techniques to investigate airless body surface properties and processes. Our first study seeks to characterize mechanical breakdown of the lunar regolith caused by ice-regolith interactions within the lunar polar regolith environment. The second and third studies investigate the effects of simulated micrometeorite bombardment via a novel dual pulsed laser experimental setup on iron-poor, carbon-rich Mercury and carbonaceous asteroid analogs. We analyze the spectral, …

Preparing For The Habitable Worlds Observatory: Spectropolarimetric Radiative Transfer Models Of Terrestrial (Exo)Planets, Kenneth E. Goodis Gordon

Graduate Thesis and Dissertation post-2024

The next major step for the exoplanet community lies in the characterization of terrestrial exoplanets, especially when it comes to identifying biosignatures and determining the habitability of these worlds. In response to this, NASA has proposed the Habitable Worlds Observatory (HWO), with the primary goal of searching for and characterizing Earth-sized planets in the habitable zones (HZ) of their stars. However, current characterization strategies that only rely on the unpolarized flux from the planets lose some of the informational content of the observed light and therefore suffer from degeneracies in the calculated planetary parameters. The sensitivity of polarization to the …

Phase Retrieval And Fidelity Preserving Quantum Channels, Kai Liu

Graduate Thesis and Dissertation post-2024

This thesis investigates the preservation of fundamental quantum properties under noisy quantum processes. Motivated by the challenges of maintaining coherence and information integrity in realistic quantum systems, we study three distinct structural properties: phase retrievability, orbit injectivity, and fidelity preservation. Each property reflects a unique facet of how quantum information can be robustly encoded, distinguished, or compared in the presence of environmental interactions.

In the first part of the thesis, we analyze phase retrievable quantum channels which allow recovery of a quantum state up to a global phase. We provide structural characterizations using the Kraus representation and the joint spectrum …

The Role Individual Differences And Environmental Factors In Automated Driving Performance, John M. Duany

Graduate Thesis and Dissertation post-2024

A series of experiments were conducted to investigate the effects of ADHD diagnosis, inclement weather, non-driving-related tasks (NDRT), automation failures, and traffic density on driving performance and takeover performance. This study also examined the relationship between dispositional factors (i.e., trust in automation, cognitive failures, and self-efficacy) and dynamic factors (i.e., mental workload, situation awareness, and situational trust) in relation to automated driving performance. A total of 156 participants were recruited for this study, including drivers with and without attention-deficit hyperactivity disorder (ADHD). Each participant completed four experimental drives and two baseline drives. Mental workload, heart rate variability (HRV), situational trust, …

Examining Educational Inequalities And Driving Science’S Next Generation Forward: Geobus Program Theory Evaluation, Elise M. Lorenzo

Graduate Thesis and Dissertation post-2024

This study presents a theory-driven evaluation of GeoBus, a mobile science lab designed to deliver hands-on, “fun learning experiences” via a solar powered, technology-rich learning environment brought directly to K-12 students in Central Florida Title 1 schools. While STEM education is widely recognized as essential for promoting equity, many schools, particularly in under-resourced communities, continue to face barriers to accessing meaningful and inclusive science learning opportunities. GeoBus was created in response to this need, offering students an informal learning environment with exposure to geospatial technologies and interactive science content.

Drawing on mixed-methods data, including content from the GeoBus website and …

The Benefits Of Establishing Attending Behavior Prior To The Discriminative Stimulus During Discrete-Trial Instruction: A Systematic Review, Ruben S. Pereira

Seton Hall University Dissertations and Theses (ETDs)

Discrete trial instruction (DTI) is one of the most effective and commonly used instructional strategies for teaching individuals with autism. Researchers and professionals have informally promoted the importance of establishing attending behavior prior to initiating discrete trials. However, some researchers have reported a lack of literature analyzing the effects of establishing attending behavior, prior to instruction, on skill acquisition. Therefore, the benefits of establishing attending as part of DTI remain unknown. The goal of the current thesis was to conduct a systematic review using PRISMA guidelines to search for published studies where attending behavior was a primary independent variable within …

Quantification Of Bioactive Compounds In Coffea Arabica And Their Impact With Omega-3 Supplementation On Non-High-Density Lipoprotein Levels In Hyperlipidemia-Induced Rats, Sojoud M. Al-Zoubi, Shady H. Awwad, Reem A. Issa, Ahmad Q. Daraosheh, Talal Al-Qaisi, Husni Farah, Khaled W. Omari, Beisan A. Mohammad, Mumen Amer, Rula F. Khuzaie, Mahmoud S. Abu-Samak

Baghdad Science Journal

This study aims to evaluate the levels of coffee lipids, diterpenes, chlorogenic acid (CGA), and caffeine in coffee samples with different roasting levels. Additionally, it aims to assess the impact of coffee extracts with/without omega-3 supplementation on lipid profile parameters. Liquid-liquid and soxhlet extraction, and quantitation were performed using HPLC-DAD. Two groups of Wistar rats were used: non-hyperlipidemic and hyperlipidemic. Blood samples were collected before and after hyperlipidemia induction after six weeks. The lipid profile: total cholesterol (TC), low-density lipoprotein (LDL), high-density lipoprotein (HDL), triglyceride (TG), non-high-density lipoprotein (non-HDL), and total cholesterol-to-high-density lipoprotein ratio (TC/HDL) were determined. A positive correlation …

Advancing Comfort And Efficiency: Radiant Heating And Cooling Systems For Sustainable Architecture, Tarek Abedin, Md Mahfuzur Rahman, Zihad Hasan Joy, Khaled Alnamasi, Irfan Anjum Badruddin, Muhammad Nasir Bashir, Mohammad Nur-E-Alam

Research outputs 2022 to 2026

This paper provides a thorough examination of Radiant Heating and Cooling (RHC) systems in the context of sustainable building practices. It covers the evolution, theoretical foundations, technological advancements, financial considerations, and practical uses of RHC systems. A comprehensive historical overview, tracing the evolution of RHC from ancient times to its current state, highlighting significant innovations that have greatly influenced its application in modern architecture. The scientific principles of thermal comfort, including Mean Radiant Temperature (MRT) and thermal asymmetry, which play a crucial role in the design and effectiveness of RHC systems has been explored. This article delves into recent technological …

What Is Lost When Time Is Saved: Drawing In Collaboration With The Urban Periphery, Carmen Ribaudo

MFA in Visual Art

I pay attention to the overlooked spaces where land and industry meet, prompting me to wonder what can be gleaned in the oily and cracked urban periphery. With a focus on my hometown St. Louis, this industrial city is my subject matter. And so, I draw in a neighborhood bisected by a highway. I animate with sand near the river confluence on land preserved after a historic flood. I make my own bricks in this Brick City, setting up in locations of former terra cotta clay mines. I sit in the tension of what author Michael Martone calls the “midwestern …

Butte Priority Soils Operable Unit (Bpsou) Revised Butte Hill Revegetation Specifications, Mike Mcanulty, Eric Hassler

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Lipidomic And Proteomic Insights From Extracellular Vesicles In The Postmortem Dorsolateral Prefrontal Cortex Reveal Substance Use Disorder-Induced Brain Changes, Chioma M Okeoma, Wasifa Naushad, Bryson C Okeoma, Carlos Gartner, Yulica Santos-Ortega, Calvin Vary, Savio Lima-Bastos, Victor Corasolla Carregari, Martin R Larsen, Alessio Noghero, Consuelo Walss-Bass, Rodrigo Grassi-Oliveira

Faculty, Staff and Student Publications

Substance use disorder (SUD) significantly increases the risk of neurotoxicity, inflammation, oxidative stress, and impaired neuroplasticity. The activation of inflammatory pathways by substances may lead to reactive astrogliosis and chronic neuroinflammation, potentially mediated by the release of extracellular particles (EPs), such as extracellular condensates (ECs) and extracellular vesicles (EVs). These particles, which reflect the physiological, pathophysiological, and metabolic states of their cells of origin, might carry molecular signatures indicative of SUD. In particular, our study investigated neuroinflammatory signatures in SUD patients by isolating EVs from the dorsolateral prefrontal cortex (dlPFC) Brodmann's area 9 (BA9) from postmortem subjects. We isolated BA9-derived …