Digital Commons Network^™

Evaluation Method For Nighttime Visual Space Improvement On Mountain Roads, Zhao Yan, Chen Yanli, Chen Jiale

Journal of China & Foreign Highway

To address issues such as poor visual guidance,narrow field of view,and short sight distance during nighttime driving on mountain roads,this study proposed a visual space enhancement evaluation method applicable to mountainous roads at night.By integrating active and passive traffic safety facilities,a visual space enhancement strategy adapted to the nighttime environment of mountain roads was proposed.A multidimensional evaluation indicator for visual space was established based on co-simulation.The effectiveness of the strategy was verified from the perspectives of visual space expansion and driving safety improvement by taking a trunk highway in the Qinling mountainous region as a case study.The results show that …

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 …

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 …

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 …

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 …

Phospholipid Scramblase 1 (Plscr1) Regulates Interferon-Lambda Receptor 1 (Ifn-Λr1) And Ifn-Λ Signaling In Influenza A Virus (Iav) Infection, Alina Xiaoyu Yang, Lisa Ramos-Rodriguez, Parand Sorkhdini, Dongqin Yang, Carmelissa Norbrun, Sonoor Majid, Sanghyun Lee, Yong Zhang, Michael Holtzman, David F Boyd, Yang Zhou

2020-Current year OA Pubs

Phospholipid scramblase 1 (PLSCR1) is an interferon-stimulated gene (ISG) that has several known anti-influenza functions. However, the mechanisms in relation to its expression compartment and enzymatic activity have not been completely explored. Moreover, only limited animal models have been studied to delineate its role at the tissue level in influenza infections. Our results showed that influenza A virus (IAV)-infected

Virtually Present In The Vastness: Vr’S Pathway To Awe And Appreciation, David Paul Peters

Dissertations - ALL

This dissertation explores how spatial presence in Virtual Reality (VR) creates awe and appreciation through the role of perceived vastness. 92 participants played a custom-built VR game (VR Nature Photographer) in three environments designed to be low, medium, and high in vastness. A repeated-measures design measured spatial presence, vastness, awe, and appreciation across conditions. Results showed higher vastness increased all four outcomes, with awe and vastness having the largest effect sizes and presence and appreciation medium sized. Mediation analyses showed perceived vastness fully mediated the effect of spatial presence on awe in all vastness conditions and partially mediated its effect …

Effects Of Π-Rich Solvents And Nickel And Cobalt Dopants On The Synthesis And Properties Of Cesium Lead Halide Nanocrystals, Tsung-Hsing Chiang

Dissertations - ALL

Colloidal semiconductor nanocrystals feature unique properties like quantum confinement, tunable band gaps, and high surface-to-volume ratio; and have been proven as prominent materials in applications such as light-emitting diodes, sensors, lasers, solar cells, etc. Optoelectronic properties of semiconductor nanocrystals are highly associated with their sizes, morphologies, and compositions. Understanding the growth mechanism can lead to the ability to control the size, morphology, and composition of nanocrystals. In this thesis, growth and b-site doping of perovskite, cesium lead halide (CsPbX3), nanocrystals are discussed. Solvent effects in the growth of cesium lead bromide were first investigated from the aspect of plumbates in …

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; …

Enzyme Active Bath Affects Protein Condensation, Kevin Ching

Dissertations - ALL

The idea that the activity of an active bath can act as an effective temperature and alter system behavior has been theorized and demonstrated for micron-scale systems, but it has not yet been shown for nanoscale systems. Previous studies have suggested that, although passive and active systems can be combined at the nanoscale, activity from the active system typically disrupts and destroys the passive system. In this work, I attempt to create an enzyme-driven active bath to control the liquid–liquid phase separation (LLPS) and condensation of a protein. I find that enzymatic activity enhances phase separation, effectively driving the LLPS …

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 …

Machine-Learning Classification Of Gamma-Producing Neutral Current Interactions In Liquid Argon From A Supernova Neutrino Burst, Sierra Thomas

Dissertations - ALL

With five core-collapse supernova candidates within 1 kiloparsec from Earth, extracting information from the neutrino flux will be important to understanding the explosion mechanism of the star (and its composition). The Deep Underground Neutrino Experiment, (DUNE), will be capable of detecting neutrinos from supernovae, primarily from charged-current interactions due to the electron neutrino flavor. However, considering neutrino oscillations in the presence of matter (MSW effects), the muon neutrinos and tau neutrinos will be undetectable if not for the neutral current channel. About 5% of the neutral current interactions will cause the argon nucleus to excite and release a gamma ray …

Essays On Housing Choices, Neighborhood Quality, And Urban Blight, Samuel Saltmarsh

Dissertations - ALL

This dissertation contains two chapters related to housing choices of low-income families, neighborhood quality, and the remediation of urban blight. The first chapter examines the effectiveness of Detroit's 2014–2022 residential demolition program in addressing neighborhood blight and vacancy in a shrinking city context. Using a stylized model of durable housing with downward price frictions, I combine parcel-level data on vacancies, blight, and demolitions to estimate the causal effects of demolition exposure on vacancy rates for non-demolished, single-family homes. Employing a difference-in-differences design, I find that the program as a whole did not reduce vacancies, and instead slightly increased them by …

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 …

Mood-Based Thinking And Its Relationship To Decision-Making Among Physical Education Teachers In Baghdad Secondary Schools, Safaa Ali Ghareeb, Husain Abd Al-Zhra Abd Al-Yaim

Modern Sport

The importance of this research is based on investigating mood-based thinking in physical education teachers, as well as the relation to decision making in secondary schools within the Directorate of Education in Baghdad Governorate. Consequently, this contributes to granting teachers a positive role in carrying out their responsibilities correctly and efficiently. The research problem focuses on the two variables of mood-based thinking and decision-making among physical education teachers in secondary schools within Baghdad Governorate, given their positive role and the need to identify the outcomes of such decisions in professional performance and their influence on students. The study therefore sought …

Feasibility Of Exercise And Mindfulness Intervention For Improving Psychological Symptoms In Female University Students With Smartphone Addiction: A Pilot Study, Huange Liu, Kim Geok Soh, Shamsulariffin Samsudin, Suriyan Somphong, Ranintya Meikahani, Nugroho Puji Santoso

Modern Sport

The prevalent use of smartphones has raised significant concerns regarding smartphone addiction among university students. This addiction can lead to a range of psychological problems, which may ultimately affect their academic performance and overall well-being. Engaging in exercise has been linked to improved mental well-being, mainly by regulating endorphin levels, which can help reduce feelings of anxiety and depression. Mindfulness-based interventions (MBIs) have become effective strategies for tackling different psychological challenges. Evidence indicates that mindfulness practices can significantly decrease stress, anxiety, and depression levels. Combining exercise with mindfulness (EM) techniques can boost their overall effectiveness and provide additional mental health …

Twas-Ctl: A Robust And Efficient Method For Multi-Tissue Transcriptome-Wide Association Studies Using Cross-Tissue Learners, Md Mutasim Billah, Hairong Wei, Fengzhu Sun, Kui Zhang

Michigan Tech Publications

The advent of transcriptome-wide association studies (TWAS) has expanded the classical genome-wide association study (GWAS) framework by integrating gene expression with genetic variation to identify trait-associated variants. While multi-tissue TWAS approaches improve statistical power over single-tissue models, existing methods often lose information during result aggregation and require intensive computation. Here, we present TWAS-CTL (Cross-Tissue Learner), a novel framework that leverages heterogeneous gene expression across tissues by adaptively reweighting and optimizing multiple single-tissue learners. Simulations demonstrate that TWAS-CTL achieves higher statistical power than the leading method, UTMOST, while maintaining proper type I error control and reducing computational time by over half. …

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 …

Exploring The Chemical And Biological Foundations Of Protein Lipidation Through Functional And Computational Studies, Andrea Sprague-Getsy

Dissertations - ALL

Post-translational modifications (PTMs) are essential for the diversification of the human proteome. Prenylation is a PTM defined by the addition of a 15-carbon or 20 carbon isoprenoid group by FTase and GGTase-I, respectively, onto a cysteine near the C-terminus of proteins. This modification is the first step within the prenylation pathway where proteolysis and carboxymethylation occur afterwards, aiding in proteins localization to the cellular membrane. These prenyltransferases canonically recognize a “CaaX” box motif which has been determined through biochemical and structural studies. Recently, sequences following the C(x)3X and Cxx patterns have been shown to be prenylated as well as an …

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 …

Group Counseling Deactivation Mode To Improve Psychological Well-Being Of Students, Muya Barida, Dian Ari Widyastuti, Yuanita Dwi Krisphianti, Aslina Ahmad, Nurul Hidayati Rofiah, Andriyani Andriyani, Riana Mashar, Emiko Saraswaty

Jurnal Kajian Bimbingan dan Konseling

Life moves dynamically, profoundly impacting adolescents and often causing deep anxiety due to numerous pressures. The gap between expectations and reality frequently exacerbates this anxiety. Ideally, adolescents should be equipped to manage their inner lives to prevent excessive anxiety, and individuals can better manage anxiety if they possess strong psychological well-being. This study aims to improve psychological well-being through a group counseling deactivation mode. The research applied an experimental research method with a one group pretest-posttest design. Participants consisting of junior high school students in Yogyakarta, selected through purposive sampling for their low psychological well-being levels. Data on psychological well-being …

Online Counseling In Improving Achievement Motivation Over The Last Decade: A Bibliometric Review, Shopyan Jepri Kurniawan, Bambang Dibyo Wiyono, Mohd. Aziz Zulazmi

Jurnal Kajian Bimbingan dan Konseling

This research aims to determine online counseling research trends to increase achievement motivation. The method used in this research is bibliometric analysis using VOSviewer. The data used is the Scopus database for the last 10 years. Research findings found that there were 4302 documents that met the specified criteria. The number of online counseling studies increased gradually over the 2013-2022 research period. The largest source of documents comes from 3691 articles. Meanwhile, the annual distribution of 100 or more citations will be the highest in 2022 with 16. The keyword ``achievement motivation'' is not included in the top 10 keywords, …

Mobile Markets And Farmers’ Markets: Evaluating Food Accessibility For Underserved Communities In The Bay Area, Rajeshwari Rajesh

Master's Theses

Studies indicate including farmers’ markets, mobile markets, and other local food systems improve fresh food access for low-income communities, especially when paired with food assistance programs that offer financial incentives. This study aims to evaluate mobile markets and farmers’ markets in the Bay Area using the five dimensions of food access: accessibility, availability, acceptability, affordability, and accommodation. The study is based on primary data collected from 173 in-person surveys at six mobile and eight farmers’ markets in the Santa Clara and Contra Costa counties. Key survey participants were market shoppers participating in food assistance programs. A mixed research methodology included …

Dampit Robusta Coffee Effect On The Creatinine Kinase Levels And Muscle Pain Scales Among Sport Enthusiast, M. Fath Alhaqqi Sanis Salamy, Mohammad Fathul Qorib, Lilik Herawati, Rizky Darmawan, M. Izzul Mujahiddin, Salamun Salamun, Ahmed Zaiyan Nahel Salamy, Achmad Yarziq Mubarak Salis Salamy, Moh Nahar Azmi Mohamed, Ain Darojah Siddiq Ramadhan Ramadhan

Folia Medica Indonesiana

Excessive eccentric exercise often results in muscle injury, reflected by elevated serum creatine kinase (CK) levels and delayed onset muscle soreness (DOMS). In Indonesia, coffee consumption after exercise has increased, with Dampit Robusta Coffee (DRC)—a local variety rich in caffeine and antioxidants considered a potential aid for recovery. This study evaluated the effect of DRC consumption on biomarkers of muscle damage and perceived soreness. A single-blind randomized controlled trial was conducted on 20 healthy untrained men aged 20–25 years, allocated into treatment (n = 10) and control (n = 10) groups. The treatment group consumed brewed DRC (≈200 mg caffeine/day) …

Dysconscious Ableism In The Public Library Advancing Disabled Patron And Staff Experiences Toward More Inclusive Programs And Services, William N. Myhill

Dissertations - ALL

This dissertation investigates the operation of dysconscious ableism in public librarianship and its impact on disabled patrons and staff. Drawing on critical disability studies, critical theory, and ethnographic methods, the study explores how public library policies, practices, and professional beliefs perpetuate ableist norms and marginalize disabled individuals. The research is grounded in three central questions: (1) How does dysconscious ableism operate in public librarianship? (2) What are the lived experiences of disabled patrons and staff in public library spaces? (3) What strategies can disrupt dysconscious ableism and promote a more inclusive, anti-ableist praxis? Data were collected through interviews with librarians …

Linden 305 Llc V. Miller

All Decisions

In this licensee holdover, the tenant moved to disqualify the landlord's counsel, arguing a conflict of interest because one of the firm's attorneys previously represented the tenant in a substantially related prior proceeding. The court found that a presumption of disqualification arose, but the landlord rebutted it by demonstrating that the attorney lived out of state, was not involved in the current proceeding, did not possess material information, and the firm had established an ethical wall. The court denied the tenant's motion but prohibited the firm from discussing the case with the attorney in question.

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 …

Comparison Of Xrf And Icp-Oes Methods To Determine Trace Element Concentrations Of Kidney Stones In Iraqi Patients, Farah Khalid Denyeif, Saadiyah Ahmed Dhahir

Baghdad Science Journal

Understanding the nature and composition of stone formation as well as developing treatment strategies that prevent stones from forming in kidneys are dependent on researching the chemical makeup of kidney stones. Therefore, 11 samples of kidney stones were collected and digested, and the concentration of metal ions such as (Ag, Al, Cu, Mn, Ni, Ti, Zn, Ca, Na, K and Mg) was measured using the Inductively Coupled Plasma - Optical Emission Spectroscopy method and X-ray Fluorescence. it was found that Ca is the highest concentration and most abundant in all samples in both methods, followed by Na, Mg and Ni. …

Examining The Nanoparticles Thin Film Of Nickel Oxide Produced Through Coriandrum Sativum Extract And Deposited By The Spin Coating Technique, Radea Hateem Jawad, Hamdia Hateem Jawad

Baghdad Science Journal

As a great chelating agent, Coiandrum Sativum extract was used in the biosynthesis of NiO nanoparticles, which was an environmentally friendly process. The nanoparticles were then investigated by x-ray diffraction, FT-IR, and SEM. The result of SEM suggests that the nanoparticles have some agglomeration but are primarily spherical. After that, powdered nano-particles were used to make thin films, which were annealed for 60 minutes at (300 and 400) °C in the air. Atomic force microscopy (AFM) and X-ray diffraction (XRD) were utilized to determine the structural properties and composition of nickel oxide films, the films’ surfaces are smooth and that …