Digital Commons Network^™

Construction And Application Of Knowledge Graph For Quality Management In Bridge Pile Engineering, Fang Xiaofeng, Dong Runhao, Gu Yanke, Pan Yanran

Journal of China & Foreign Highway

To enhance the efficiency of quality management in bridge pile foundation construction,this study constructed a knowledge graph applicable to the construction field of bridge pile foundation engineering to enable systematic representation and intelligent organization of knowledge.A methodology combining top-down design and bottom-up design was adopted to develop a framework for constructing a knowledge graph for the quality management of bridge pile foundation construction that encompasses both the schema layer and the data layer.The schema layer was established through ontology modeling,clarifying the concept categories,hierarchical structure,and their attribute relationships.The data layer employed a bidirectional long short-term memory (BiLSTM ) network integrated with …

Assessing The Gender Differences In Mental Health Access And The Intersectionality Of Depression, Anxiety, Stress Between Black Men And Black Women During Covid-19, Turquoise Ef'e Pipes

Walden Dissertations and Doctoral Studies

The COVID-19 pandemic, which emerged in the past five years, has had a particularly severe impact on well-being, mental health, and access to care for Black communities. Therefore, the purpose of this quantitative study, grounded in intersectionality theory was to assess gender differences between Black women and Black men confronted with depression, anxiety, stress symptoms and mental health access during the crisis of COVID-19, which has been under researched within this demographic. The study sample included participants from various cities across the United States who lived through the COVID-19 pandemic from March 2020 to March 2023 (n= 104). A MANOVA …

3d Point Cloud Analysis With Classification, Segmentation And Few-Shot Learning, Jiajing Chen

Dissertations - ALL

Deep learning for 3D point cloud analysis has made significant progress, yet several critical challenges, including the following, remain underexplored: (1) traditional max-pooling operations discard a substantial portion of learned features, resulting in information loss and inefficient use of computational resources; (2) existing few-shot point cloud classification models lack robustness when faced with occlusion, missing points, and limited training data; (3) semantic segmentation methods often fail to fully exploit background–foreground interactions, leading to reduced accuracy. Moreover, in domains such as gait recognition and visual program synthesis, research has been largely dominated by 2D-based approaches, leaving the potential of point cloud …

Robust Security Assurance In Cyber-Physical Systems: From Attack Diagnosis To Attack Resilience, Zifan Wang

Dissertations - ALL

Cyber-Physical Systems (CPS) have become integral to critical infrastructure, from autonomous vehicles to industrial control systems. However, their increased connectivity and sophistication introduce new vulnerabilities, making security a paramount concern. This dissertation presents a comprehensive pipeline for enhancing CPS security, focusing on accurate diagnosis of trustworthy time frames and subsystems, followed by system resilience measures to restore safe states. The foundation of system resilience lies in an advanced checkpointing protocol for real-time multi-process systems. A novel three-step approach uniquely addresses both logical and timing correctness, which are crucial for modern CPS applications. By partitioning processes into directed acyclic graphs, implementing …

Model Inference And Sparse Network Analysis: Machine Learning In The Gene Regulatory Network Framework, Youchuan Wang

Dissertations - ALL

This thesis explores sparse network inference from high-dimensional, noisy, and underdetermined data—a fundamental challenge in many scientific domains. We focus on the development of evolutionary computation methods for discovering underlying network structures that are both interpretable and biologically plausible. Our methods are applied to the domain of Gene Regulatory Network (GRN) inference, where sparsity, indirect interactions, and limited observations pose significant hurdles. The framework models both steady-state and time-series gene expression data, with particular emphasis on biological sparsity and regulatory dynamics. We approach the problem from three perspectives: (1) edge-level analysis using transitive reduction to distinguish direct from indirect regulation; …

Microtubule Self-Organization With Active And Passive Crosslinkers, Prashali Chauhan

Dissertations - ALL

Humans have always been trying to unravel principles that guide how things around us function, all the way from galactic ovements to basic building blocks of matter. The physical and chemical properties of ‘biological’ systems govern processes all the way from molecular interactions of proteins to the form and function of individual living organisms. In this work, I focus on the proteins which help give shape and structure to the smallest building block of life, the cell and associated mechanisms of building fundamental cellular architectures, like the mitotic spindle. Mitosis takes place by microtubules aligning themselves in anti-parallel fashion with …

Developing Best Practice Fabrication For Niobium Superconducting Devices, Jadrien Timothy-Henke Paustian

Dissertations - ALL

Superconducting qubits are a leading platform for scalable quantum computation. This platform offers high gate speeds and can make use of readily scalable complementary metal-oxide semiconductor (CMOS) fabrication techniques. However, superconducting qubits are susceptible to a variety of losses that arise in systems with superconductors, such as due to ubiquitous two-level systems, quasiparticles, and more. Designing fabrication processes to mitigate and manage these loss sources is critical to achieving scalable quantum computation. However, many of these loss sources are set during fabrication processing, of which there can be many different steps, each with its own parameter space. Exploring this space …

Balancing Robustness And Practicality In Model Compression, Personalization, And Healthcare Interventions, Sawinder Kaur

Dissertations - ALL

Advances in machine learning have enabled significant progress in generating robust solutions. However, designing solutions that balance robustness while meeting the practical constraints of diverse applications, such as limited resources and data, remains a challenge. We explored three key aspects of this interplay: verified robust compressed neural networks, context-wise robust personalization, and reliable counterfactual interventions for healthcare. First, we introduce VeriCompress, a novel framework to streamline the synthesis of compressed neural networks with formal guarantees of adversarial robustness. This enables the deployment of reliable and efficient models in resource-constrained environments, such as smartphones. Second, we developed CRoP (Context-wise Robust Static …

On Detecting Change-Points Of A Segmented Logistic Regression Model, Jingwen Li

Dissertations - ALL

This dissertation investigates the problem of change-point detection in segmented logistic regression models, where the total number of change-points is unknown. We consider both unconstrained models, which allow discontinuities at change-points, and constrained models, which impose continuity across change-points. The central challenge is to determine the number of change-points and to accurately estimate their locations, while ensuring valid statistical inference for the associated regression coefficients. We begin by introducing a set of regularity assumptions that underlie the theoretical analysis throughout this work. For a given number of change-points, we present algorithms to estimate their locations and obtain the maximum likelihood …

Mapping Research Trends On Mental Health Literacy Among University Students: A Bibliometric Systematic Review, Eko Pramudya Laksana, Muslihati Muslihati, Arbin Janu Setiyowati, Salsabila Kholifahtun Nisa, Muhammad Nur Hudha, Margaret Kehinde Soetan

Jurnal Kajian Bimbingan dan Konseling

Mental health is a global issue that has received increasing attention, particularly among university students. Mental health literacy (MHL) is an important factor in promoting students' psychological well-being through knowledge, attitudes, and the ability to recognize and address mental health problems. This study aims to map the developmental trends of MHL research among university students in order to provide a comprehensive overview of the direction and focus of studies in this field. This research employed a bibliometric literature review approach by analyzing 48 journal articles indexed in the Scopus database and published between 2021 and 2025. The findings indicate that …

Numerical Simulation Analysis On Support Performance Of Inclined-Vertical Combined Double-Row Interlocked Steel Pipe Piles, Zhou Yi, Zhang Ning, Wang Yanhua, Zhou Dequan

Journal of China & Foreign Highway

To select appropriate support structures in foundation pit engineering of underground tunnels for the Hong Kong International Airport (HKIA ),this paper proposed the use of inclined-vertical combined interlocked steel pipe piles,which are beneficial for support,water isolation,and recovery.Numerical simulations were conducted using finite element software Midas GTS NX to analyze the effect of different combination types and inclination angles on the engineering response of the inner-row piles of inclined-vertical combined double-row interlocked steel pipe piles.The results show that the inclined-vertical combined double-row piles reduce the horizontal displacement at the top of the inner-row piles by approximately 50% and decrease the peak …

Influence Mechanism Of Static And Dynamic Loading On Adsorbed Bound Water And Deformation In High Liquid Limit Soils, Fang Zhongwang, Zhou Shiji E, Xiao Yupeng, Peng Xin, Zhang Rui

Journal of China & Foreign Highway

In order to reveal the evolution law of adsorbed bound water and the deformation characteristics of high liquid limit soil under static and dynamic loading,Hainan high liquid limit soil and Hunan clayey sand were selected as comparative samples.Through consolidation,consolidation-creep,and dynamic triaxial tests,the deformation patterns of high liquid limit soil under different loading conditions were obtained.By combining nuclear magnetic resonance tests,the variation pattern of adsorbed bound water content in specimens before and after the consolidation and dynamic triaxial tests was studied.The results show that under static loading,the compression coefficient of high liquid limit soil meets the requirements of the Specifications for …

Study On Creep Mechanical Properties And Constitutive Models Of Silty Clay With Different Compaction Degrees, Li Mingchao, Wu Gangrong

Journal of China & Foreign Highway

In order to ensure the smooth construction and long-term stable operation of silty clay sections in the Zhoukou –Pingdingshan highway project,this paper conducted one-dimensional creep tests on silty clay samples with different compaction degrees under different stress levels and studied the effect law of compaction degree on its long-term creep mechanical properties.By establishing the corresponding creep constitutive models,a theoretical basis was provided for the prevention and control of creep failure in silty clay subgrades in engineering practice.Research results show that:① Under the same stress level,with the increase of compaction degree,the instantaneous strain,creep strain,and total strain of the samples all decrease …

Workability And Compressive Strength Of Steel Slag Powder-Cement-Based Self-Compacting Iron Tailings Mortar, Yang Zaiqing, Jin Shengji, Zhang Xiaogang, Sheng Guohua

Journal of China & Foreign Highway

Steel slag and iron tailings are typical industrial solid waste.Their large-scale stockpiling occupies a significant amount of land and has a negative impact on the environment.To respond to the Guiding Opinions on the Comprehensive Utilization of Bulk Solid Waste in the 14th Five Year Plan and expand the use of steel slag powder and iron tailings sand as concrete admixtures and aggregates,this study prepared steel slag powder-cement-based self-compacting iron tailings mortar.The workability index of mortar was determined through two tests:the flow expansion test and the V-shaped funnel test.Additionally,the compressive strength of the mortar was measured using a servo press.The results …

Mechanical Properties Of Transition Section Of Cable-Stayed Bridge With Kilometer-Scale Steel-Uhpc Composite Girders, Li Qiu, Zhi Haitao, Peng Yanqing, Peng Jianxin, Yuan Qin, Wu Xuewei

Journal of China & Foreign Highway

To study the mechanical properties of the steel-concrete composite section between steel box girders and steel-ultra-high performance concrete (UHPC ) composite girders,the Guanyinsi Yangtze River Bridge with a main span of 1 160 m was used as the background.Through refined finite element modeling,the stress characteristics under the most unfavorable load conditions and transmission mechanism of the steel-concrete composite section were analyzed,and the main factors affecting the stress of the composite section were discussed.The results indicate that under the most unfavorable load conditions,the stress of each component in the steel-concrete composite section is within 160.4 MPa,which is lower than the material …

Wind Tunnel Test Study On Wind-Resistant Performance Of Shuangliu Yangtze River Bridge, Li Xiukun, Wu Xuewei, Yang Can, Peng Xiaobin, Huang Zhiwen

Journal of China & Foreign Highway

The main bridge of Shuangliu Yangtze River Bridge on the Xingang Expressway in Wuhan City is a single-span suspension bridge with a main span of 1 430 m and a bridge tower of 272.75 m.The stiffening girder is in the form of a closed flat steel box girder with a width of 50.5 m.In order to study the wind-resistant performance of the bridge during operation,the performance of vortex-induced vibration of the girder was tested through wind tunnel tests of section model with two different geometric scales of 1∶60 and 1∶30,respectively.The sensitivity of the vortex-induced vibration response to the structural damping …

Application Of Forward-Ba Ck Ana Lysis And Difference Iteration Method For Solving Initial Cable Tension Of Arch Bridge, Xu Yufeng, Li Zihui, Zhang Zhantao

Journal of China & Foreign Highway

This article presented a method that c ombined the forward-back analysis method and the difference iteration method to solve the initial cable tension according to the state of a built bridge for an arch bridge.Given the known target state of the bridge,a reasonable set of initial cable tensions was determined as the initial value of iteration by the forward-back method.These initial tensions were then applied to the calculation model based on the actual construction process.Through the difference iteration method,the initial cable tensions were optimized.The results show that the method can effectively determine the final cable tension that meets engineering precision …

Experimental Study On Bending And Shear Performance Of Joint With Looped Reinforcement In Prefabricated Components, Liu Zhiquan, Hu Ke, Shi Xuefei, Zhong Yuzhuo

Journal of China & Foreign Highway

A joint with looped reinforcement is a type of steel bar connection structure with wet joints characterized by quick construction.In order to study the bending and shear stress performance and load-bearing capacity characteristics of the wet joints,four bearing capacity tests for bending and shear were designed and conducted for common application scenarios.The load,strain,and displacement changes of the specimens during the test process were tested,and the failure characteristics,load–displacement changes,and ultimate bearing capacity of this type of wet joint were analyzed.The results show that the wet joint with looped reinforcement has good ductility and conforms to the design principles of reinforced concrete.The …

Bending Moment Calculation And Reinforcement Recommendations For Cast-In-Place Cover Slabs In Slab Culverts, Li Yukun, Wan Kecheng, Fu Fulin

Journal of China & Foreign Highway

To address the complexity and lack of practical methods for calculating bending moments of cast-in-place cover slabs in slab culverts,the slabs were simplified as one-way slabs with a pair of opposing edges simply supported and the other pair of edges free.Theoretical formulas for calculating the bending moments within the slabs under uniformly distributed loads were derived using elastic theory.The accuracy of the theoretical formulas was validated through case studies via finite element software.Various combinations of length,width,and fill heights exist in highway projects,making the use of theoretical formulas for bending moment calculations cumbersome.Therefore,a simplified method for calculating maximum bending moments in …

Research On Whole-Hole Testing Technology For Under-Anchor Tension In Prestressed Concrete Girders, Zhu Jianzhao, Dong Hao, Gu Jungang, Feng Lu, Li Shuyang, Zhang Shoulong, Chen Chaung

Journal of China & Foreign Highway

This study aims to propose a new testing method,namely whole-hole back-pull testing technology,to reduce costs and increase efficiency in under-anchor tension testing,effectively addressing the engineering challenges of large testing volume and tight schedules.Based on the principle of the traditional back-pull method,the mechanism of whole-hole back-pull testing technology was explained through theoretical analysis and formula derivation.Technical optimization was carried out in conjunction with experimental research,and a complete application method was proposed.A feasibility analysis was carried out.The study obtained the simplified mechanical model and typical test curves of the whole-hole back-pull testing technology and proposed a formula and application method for determining …

Settlement Mechanism And Re Inforcement Measure For Large-Diameter And Small-Clearance Parallel P Ipe Jacking Undercrossing Complex Building, Tang Gang, Huang Wen Jie, Zhang Wenbo, Li Wenjie, Liang Bin

Journal of China & Foreign Highway

This study aims to study the settlem ent changes and distribution of various parts of a complex building during the construction of a large-diameter and small-clearance parallel pipe jacking undercrossing complex building.On the basis of the pipe jacking project of water quality guarantee engineering 2# for Tiegang –Shiyan Reservoir in Shenzhen,the settlement mechanism of pipe jacking undercrossing construction was analyzed.Through numerical simulation,the influence of the presence or absence of grouting reinforcement,and parameters such as longitudinal spacing and burial depth of pipe jacking on the variation trend and distribution law of building settlement was analyzed.The theoretically predicted values,numerical simulation values,and on-site …

Bridge Damage Detection And Bim Localization Methods Based On Image Recognition, Li Yu, Guo Hongjun

Journal of China & Foreign Highway

To overcome insufficient information of 2D detection data in traditional bridge maintenance,which hinders precise decision-making,this study proposed an automated method based on deep learning and structure from motion (SfM ) technology,which realized the complete process from image recognition to the accurate mapping of damage information in a building information model (BIM ).First,the YOLOv 8 deep learning model was used to automatically detect bridge surface damage.Second,the SfM technology was applied for the local 3D reconstruction of the damage area and to determine the 3D coordinates of the damage.Then,the least squares method was used to align the local coordinate system with the …

Bending Capacity And Strengthening Design With Bonding Steel Plates Of Concrete Sections In French Standards, Wu Zi

Journal of China & Foreign Highway

In the French general technical clauses widely used in Francophone African countries,only the calculation principles for the bending capacity of normal concrete sections are provided,with explicit formulas not listed,and the strengthening design of structures is not involved.According to the fundamental principles of concrete structures and French standard regulations,the calculation formulas for the bending capacity of normal concrete sections were derived.On the basis of the assumptions of strengthening design,calculation formulas for strengthening with bonding steel plates were derived.Through practical engineering calculations conducted on the VDN Expressway project in Senegal,the applicability and reliability of the proposed formulas were verified.This study can offer …

Quantitative Evaluation Of Tunnel Rock Mass Integrity Based On Mwd Technology, Zhang Kunmu, Peng Hao, Liang Ming, Han Yu, Song Guanxian

Journal of China & Foreign Highway

In tunnel construction,the quantitative evaluation of rock mass integrity heavily relies on information from the exposed face,and there are challenges when drilling data is used for integrity evaluation.To this end,this study introduced a novel method for quantitative evaluation of rock mass integrity during drilling,integrating numerical statistics with machine learning.A substantial dataset of digital drilling data was collected,covering three common types of rock mass integrity:relatively intact,relatively fractured,and fractured.Subsequently,a high-performance random forest model for the classification of rock mass integrity was developed through data preprocessing and hyperparameter optimization.The interpretability of the model ’s predictive results was enhanced using Shapley additive explanations (SHAP …

Object Detection And Tracking Based On Fusion Of Radar And Camera On Highway Side, Zeng Yongqiang, Zhang Yonghua, Zhao Hui, Liu Xin, Xu Mingsheng, Shen Jianwei, Hu Zhiwei, Chen Zhenquan

Journal of China & Foreign Highway

Camera is the most widely used sensor in intelligent transportation systems (ITS),but the decline of detection and positioning accuracy caused by target occlusion and external environment interference has always been an important factor restricting the development of ITS.In order to solve this problem,a multi-mode fusion target detection and tracking method based on millimeter-wave radar (MWR ) and camera on highway side was designed.Compared with cameras,high-resolution MWR had better measurement accuracy and weather robustness,serving as a better complement to camera perception.The proposed method used the center point-based radar and camera fusion algorithm for target detection and adopted the greedy algorithm for …

Green Ai-Enhanced Deep Learning Model For Breast Cancer Detection And Classification In Mammography Images: Bc-Net-512, Nesma Abd El-Mawla, Mohamed A. Berbar, Nawal A. El-Fishawy, Mohamed A. El-Rashidy

Mansoura Engineering Journal

This study champions a sustainable approach for developing a Deep Learning (DL) model for medical image analysis, specifically focusing on breast cancer (BC) detection in mammograms. By prioritizing low-computing algorithms to achieve high diagnostic accuracy while minimizing the model's environmental footprint, that aligns with the principles of Green AI. In this paper, an innovative architecture called BC-Net-512 was constructed for the classification of BC mammography. It is composed of lightweight Convolutional Neural Network (CNN) blocks for texture, density, and structure feature extraction and detection, a thin, fully connected layer for learning complex patterns and correlations in the extracted features, and …

Nano Copper Metal Electrodeposited On Mild Steel From Dissolved Hydrated Copper Chloride In Deep Eutectic Solvent, Eman Turky Shamkhy, Hadi M A Abood, Taghried A. Salman

Baghdad Science Journal

In this study, electrodeposition of copper nanoparticles from its soluble hydrated chloride salt in ammonium Alum: urea deep eutectic solvent (DES) of 1:5 mole ratio was investigated. The electrochemical reduction of the Cu (II)/Cu (0) couple was found to be a quasi-reversible reaction, with a broad reduction peak at –0.2 V as revealed by cyclic voltammetry. The hydrated copper chloride stabilized the electro-reduction process within the DES. Scanning electronic microscope (SEM) showed copper metal was electroplated as nano particles 35 to 49 nm agglomerated as Cauliflower on mild steel. Energy dispersive X-ray spectrometry (EDX) X-ray, analyses (XRD) and visually showed …

Do Digital Transformation And Macroeconomic Stability Matter For The Asean's Economic Growth?, Sri Andaiyani, Abdul Bashir, Ichsan Hamidi

Bulletin of Monetary Economics and Banking

This work assesses the association between digital transformation, macroeconomic stability, and economic growth. We employ yearly data from 2010 to 2021 in ASEAN countries. The findings show digital transformation and macroeconomic stability can increase in GDP in the long term. Digital transformation contributes favorably and substantially, while macroeconomic stability negatively and significantly affects economic growth in the short-term. The study reveals causal link between digital transformation and macroeconomic stability, causality from digital transformation to economic growth, and economic growth to macroeconomic stability. This implies that digital transformation is the engine of growth.

Evaluating The Impact Of A Community-Based Prostate Cancer Screening Program, Amy Leader, Kristine Pham, Nicola Cianci, Hannah Knapp, Fatuma Doka, Suzanne Barron, Oleksandr Kolesnikov, Jordan Dehoratius, Katie Bradley, Le'ann Robles, Robert Giamboy, Olivia Dahlgren, Leonard G. Gomella

Kimmel Cancer Center Faculty Papers

BACKGROUND: One out of eight men in the U.S. will be diagnosed with prostate cancer during his lifetime. Black men are more likely to be diagnosed with and die from prostate cancer than other males, contributing to significant prostate cancer disparities. Early detection, often by routine screening, allows for more options for treatment and an increased chance of survival. Barriers to screening contribute to prostate cancer disparities, particularly among those who lack regular access to health care. Community based screening programs may overcome barriers to prostate cancer screening.

METHODS: An urban, NCI-designated cancer center collaborated with a national prostate cancer …

Adaptive Generation In Evolutionary Robotics: From Adversarial Objects To Guided Optimization, Unknown Akshay

Dissertations - ALL

Evolution-inspired algorithms have proven effective for complex optimization problems butsuffer from computational inefficiency due to their reliance on random variation operators. This is problematic in domains where fitness evaluation depends on expensive procedures such as training a neural network or running a robot, either in simulation or on hardware. This dissertation presents novel approaches for evolutionary robotics that replace stochastic evolutionary operations with learned, adaptive strategies using reinforcement learning (RL), significantly improving search efficiency while maintaining population diversity.The first contribution is a voxel-based evolutionary framework for generating adversarial objects that challenge robotic grasping systems. By evolving objects with controlled similarity …