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Articles 11521 - 11550 of 1824812
Full-Text Articles in Entire DC Network
Multi-Angle Dynamic Light Scattering Experiments With Real-Time Autocorrelation Using Field-Programmable Gate Arrays, Spiros Simotas
Multi-Angle Dynamic Light Scattering Experiments With Real-Time Autocorrelation Using Field-Programmable Gate Arrays, Spiros Simotas
Theses and Dissertations from DePaul University
Dynamic light scattering (DLS) determines particle size from temporal fluctuations in coherently scattered light. Here a field-programmable gate array (FPGA) computes intensity autocorrelations in real time, and an automated diffractometer with custom 3D-printed cuvette, laser, homing, and GT2-gear mounts enables multi-angle measurements. Square-wave timing tests at 1 Hz, 100 Hz, and 10 kHz verified the correlator response. Calibrated latex spheres were then measured at seven scattering angles from 32.5◦ to 44.5◦. Each autocorrelation function was fit to the standard single-exponential form g(τ ) = B + βe−2Γτ with weights from analytic per-lag Poisson uncertainties σg = pg/N based on coincidence …
Towards Understanding Users' Theory Of Recommender Systems, Mohammed Muheeb Faizan Ghori
Towards Understanding Users' Theory Of Recommender Systems, Mohammed Muheeb Faizan Ghori
Theses and Dissertations from DePaul University
Recommender systems have become deeply embedded in digital platforms such as streaming services, social media, and e-commerce applications, shaping how users discover information, consume content, and interact with online environments. Despite their widespread adoption, these systems are frequently perceived as opaque ‘black boxes’, leaving users uncertain about how recommendations are generated, why certain content is prioritized, and whether their interactions meaningfully influence recommendation outcomes. Existing research at the intersection of recommender systems and human–computer interaction has largely focused on improving transparency, explainability, and recommendation quality from a system-centered perspective. However, limited research has examined how users conceptualize recommender systems and …
Nietzsche’S Greek Soul: Traces Of Aristotle’S Psuchē In The Early Nietzsche, Laura G. Campos
Nietzsche’S Greek Soul: Traces Of Aristotle’S Psuchē In The Early Nietzsche, Laura G. Campos
Theses and Dissertations from DePaul University
This dissertation proposes an examination of the concept of the soul (Seele) as it appears in the works of Friedrich Nietzsche, in conversation with the concept of the soul in Aristotle. I propose bringing these two historically and theoretically disparate thinkers into dialogue insofar as they each represent a pivotal moment in the history of Western subjectivity, drawing on Martin Heidegger’s positioning of Aristotle and Nietzsche as the inaugural and final thinkers of Western metaphysics, respectively. Yet, following recent Continental interpretations of both thinkers, I read both Aristotle and Nietzsche as proto-phenomenologists concerned with the problem of how to thematize …
Shsp Dean's Newsletter, Summer 2026, Brian J. Nickerson
Shsp Dean's Newsletter, Summer 2026, Brian J. Nickerson
SHSP Dean’s Newsletter
No abstract provided.
A Decade Of Change: Technology’S Impact On Negotiation Deepens In The Age Of Ai, Noam Ebner
A Decade Of Change: Technology’S Impact On Negotiation Deepens In The Age Of Ai, Noam Ebner
Journal of Dispute Resolution
When people consider the notion of negotiation changing, they tend to look first toward that magnificent negotiation construct, “the table.” Here are some immediately apparent areas of table-novelty: • There is often a screen on our table, rather than another person sitting across from us. • The table we “go” to negotiate at is not in our office or that of our counterpart; rather, it is a communications system such as email or an online platform developed by a third-party provider. • The table, in its online-platform form, sometimes structures process and facilitates communication in ways that our trusty old …
Artificial Intelligence, Real Humans, And The Art Of Lawyering: Reflections From Practice, Jenna Homeyer
Artificial Intelligence, Real Humans, And The Art Of Lawyering: Reflections From Practice, Jenna Homeyer
Journal of Dispute Resolution
René Descartes famously stated, “I think, therefore I am.” As artificial intelligence (“AI”) increases in prevalence throughout society and the field of law, we might ask ourselves, who are we if we allow AI to think for us? This symposium began with a question about the interplay between artificial intelligence and the human skills present in the art of lawyering. After using AI in my legal practice for the past two and half years, I can attest that there remains a very human skill set that is necessary to the art of good or effective lawyering. AI can be a …
Mirror, Mirror On My Screen, Can You Feel Like A Human Being?, Lauren A. Newell
Mirror, Mirror On My Screen, Can You Feel Like A Human Being?, Lauren A. Newell
Journal of Dispute Resolution
We cannot go anywhere without encountering artificial intelligence (AI) these days. AI has infiltrated our phones, our cars, and our washing machines. It is with us in doctors’ offices, at the drive-through, and at sporting events. It has taken over our calendars and our inboxes and our videoconferences, and it would like to help us brush our teeth, too.
Justice After Atrocity: Lessons From Rwanda And Cambodia For Contemporary International Law And Conflict, Jennie Hubbard
Justice After Atrocity: Lessons From Rwanda And Cambodia For Contemporary International Law And Conflict, Jennie Hubbard
Journal of Dispute Resolution
In the aftermath of mass atrocity, the question facing survivors and policymakers is not whether societies will rebuild but how rebuilding will address truth, justice, and memory. Modern transitional justice systems trace institutional and normative roots to the post—World War II order, most famously embodied by the Nuremberg Trials, which first established that individuals could be held accountable for crimes against humanity. Nuremberg did more than punish Nazi officials; it articulated a legal and moral principle that the international community could, and sometimes must, assert jurisdiction to address mass crimes when domestic systems fail. Despite that precedent, global reactions to …
Beyond City Limits: Access To Adr And Child Client-Directed Counsel In Missouri’S Rural Family Courts, Reghan Matlock
Beyond City Limits: Access To Adr And Child Client-Directed Counsel In Missouri’S Rural Family Courts, Reghan Matlock
Journal of Dispute Resolution
Reba McEntire once sang, “Don’t trust your soul to no backwoods southern lawyer”—a warning that still echoes in today’s debates about rural justice and representation. The catchy murder ballad captures a story driven by dramatic family ties and a broken justice system. While the song exaggerates for effect, it taps into a realistic concern: an existing divide in access to justice between rural and urban communities. This divide impacts all areas of law, including family law—where concerns about confidentiality and privacy are heightened because small communities make it difficult to shield sensitive matters from public view. The divide is troubling, …
Reforming Mediation: The Hidden Inequities Shaped By Race, Gender, And Power, Victoria Seever
Reforming Mediation: The Hidden Inequities Shaped By Race, Gender, And Power, Victoria Seever
Journal of Dispute Resolution
Courts and policymakers often promote family dispute resolution as a faster, less adversarial alternative to traditional litigation. Yet for many women of color, the mediation table often replicates the same racial and gender power imbalances that the legal system claims to mitigate. Family Dispute Resolution (“FDR”) often fails women of color by reinforcing racialized and gendered power imbalances. Alternative dispute resolution (“ADR”), especially mediation, presents both an opportunity and a risk in divorce, custody, and intimate partner violence (“IPV”) cases. IPV cases become especially difficult with the various laws in different states that govern how mediation should be used and …
Statistical Evaluation Of A New Orleans Historic Rainfall Dataset (1840–1893), Arielle C. Filostrat
Statistical Evaluation Of A New Orleans Historic Rainfall Dataset (1840–1893), Arielle C. Filostrat
LSU Master's Theses
This study evaluates the climatic credibility of a newly identified historical rainfall dataset for New Orleans, Louisiana, spanning 1840–1893. The New Orleans Historical Dataset (NOHD) is compared to a modern observational record from the Audubon rain gauge (1893–2024) to determine whether nineteenth-century rainfall observations are consistent with known precipitation behavior in the region. Establishing the reliability of early records is critical for extending climatological baselines and improving understanding of long-term rainfall variability.
Historical rainfall observations were first evaluated through archival review using the New Orleans Medical and Surgical Journal and other nineteenth-century meteorological records to verify notable rainfall events. Daily …
The Impact Of Alexithymia On Body Image: The Mediating Role Of Rumination Among Students At Sultan Qaboos University, Fatima Alrahbi, Mai Helmy, Amal Alhadabi
The Impact Of Alexithymia On Body Image: The Mediating Role Of Rumination Among Students At Sultan Qaboos University, Fatima Alrahbi, Mai Helmy, Amal Alhadabi
Journal of Educational and Psychological Studies
The study aimed to examine the mediating role of rumination in the relationship between the dimensions of alexithymia and body image among first-year students at Sultan Qaboos University in the Sultanate of Oman. The descriptive method was employed, and the sample consisted of 310 male and female first-year students at Sultan Qaboos University, who were selected using a convenience sampling method. The study instruments included three scales: the Body Image Scale, the Toronto Alexithymia Scale, and the Rumination Scale. The results indicated the presence of statistically significant direct effects of the dimensions of alexithymia on rumination. The findings showed that …
How Preservice Teachers' Confidence Is Impacted By A Geometry Course, Stephanie Hastings, Gabriel T. Matney
How Preservice Teachers' Confidence Is Impacted By A Geometry Course, Stephanie Hastings, Gabriel T. Matney
School of Inclusive Teacher Education Faculty Publications
A large body of literature supports the notion that a K-12 teacher's confidence in teaching and content impacts student achievement. This study explores a group of preservice teachers and their confidence in teaching geometric concepts. The eight participants were preservice secondary mathematics teachers enrolled in a high-school-focused geometry course centered on pedagogical content knowledge. Using mixed methods, the study examined how their confidence to teach geometric topics changed over the course, with participants rating that confidence on a 4-point Likert scale. Confidence to teach most topics increased significantly. Six themes emerged from the second round of interviews: (1) deep understanding …
Interactive Distribution Visualizer, Manish Rami
Interactive Distribution Visualizer, Manish Rami
Software
An interactive tool visualizing types of distribution. Viewers can morph between a bell curve, box plot, and cumulative frequency curve.
Reliability Vs. Validity Visualizer, Manish Rami
Reliability Vs. Validity Visualizer, Manish Rami
Software
A visualization tool to demonstrate the concepts of reliability and validity.
Each target represents repeated measurements of the same person or construct. The crosshair (✛) marks the true score. Reliability = how tightly shots cluster together. Validity = whether shots center on the true score. Click any panel for a clinical SLP example. Also see notes below the plots.
Borderplex Business Barometer, Volume 10, Number 6, Thomas M. Fullerton Jr., Steven L. Fullerton
Borderplex Business Barometer, Volume 10, Number 6, Thomas M. Fullerton Jr., Steven L. Fullerton
Border Region Modeling Project
No abstract provided.
Resilience Modeling Method For Combat System-Of-Systems Based On Hypernetwork And Game Theory, Yuxian Duan, Hanqiang Deng, Jiarui Zhang, Jian Huang, Shijia Zhang
Resilience Modeling Method For Combat System-Of-Systems Based On Hypernetwork And Game Theory, Yuxian Duan, Hanqiang Deng, Jiarui Zhang, Jian Huang, Shijia Zhang
Journal of System Simulation
Abstract: In view of the difficulties in dynamic reconfiguration and resilience evaluation faced by modern combat system-of-systems in a highly adversarial environment, and the deficiencies of existing studies in depicting high-order interaction relationships and cluster evolution mechanisms, this paper proposed a resilience modeling method for combat system-of-systems integrating hypernetwork and game theory, aiming to analyze the resilience mechanism of the system-of-systems in all dimensions from micro, mesoscopic, to macro levels. At the micro level, a high-order motif structure was introduced to represent the complex interaction modes among combat units, which overcame the information loss of traditional binary relationships in depicting …
Simulation Study Of Elevator Group Control Scheduling Based On Real-Time Occupancy Perception, Yiyong Han, Shiyu Wang, Yang Ye, Zhen Zhang, Fengque Pei, Minghai Yuan
Simulation Study Of Elevator Group Control Scheduling Based On Real-Time Occupancy Perception, Yiyong Han, Shiyu Wang, Yang Ye, Zhen Zhang, Fengque Pei, Minghai Yuan
Journal of System Simulation
Abstract: To address the conflict between car space allocation and peak passenger flow response efficiency in elevator group control scheduling, a multi-objective scheduling method based on proximal policy optimization (PPO) with real-time occupancy perception was proposed. A simulation environment considering car capacity constraints was constructed, and a reward-penalty mechanism with average passenger waiting time, system energy consumption, and car congestion as optimization objectives was designed. Based on this, state and action spaces were defined to form a PPO-based scheduling framework; a simulation platform integrating traffic flow visualization, policy scheduling, and performance evaluation was developed. Simulation results show that this method …
Adaptive Spatiotemporal Graph Neural Network-Based Net Load Forecasting For Residential Areas, Yongqi Yang, Cong Wang, Hongli Zhang, Ping Ma, Yue Meng, Tianhao Zhou
Adaptive Spatiotemporal Graph Neural Network-Based Net Load Forecasting For Residential Areas, Yongqi Yang, Cong Wang, Hongli Zhang, Ping Ma, Yue Meng, Tianhao Zhou
Journal of System Simulation
Abstract: To address the issue that traditional residential overall power load forecasting methods fail to fully consider the differences in users' electricity consumption habits, making it difficult to improve prediction accuracy, a residential net load forecasting method combining representation learning clustering and an AGCN-Transformer was proposed. The representation learning method was utilized to fully extract the latent features of users' net load data, and users were divided into different groups based on the similarity of electricity consumption behaviors; the net load data of the same group were aggregated, and a graph structure suitable for this task was constructed by comprehensively …
Evolution And Prospects Of Polarization Image Simulation Technology, Gengpeng Li, Wei Cai, Zhiyong Yang, Zhili Zhang, Xiaowei Wang
Evolution And Prospects Of Polarization Image Simulation Technology, Gengpeng Li, Wei Cai, Zhiyong Yang, Zhili Zhang, Xiaowei Wang
Journal of System Simulation
Abstract: Polarization image simulation technology is a key means to break through the bottleneck of polarization data acquisition and promote the development of polarization vision. This study systematically reviewed three evolutionary paradigms of this technology: Physical mechanism simulation, based on the polarization bidirectional reflectance distribution function and polarization ray tracing, strictly solves polarization light transmission, which has high interpretability and credibility, but it is computationally complex and lacks visual realism. Data-driven simulation, using models like neural radiance fields to learn polarization appearance from data, has high generation efficiency and visual fidelity but weaker physical consistency and interpretability. Physics-data fusion simulation …
Mbse Design And Approach-Phase Operational Simulation Of Bdsbas Airborne Receiver, Ruihua Liu, Tongwei Wang, Zan Ma
Mbse Design And Approach-Phase Operational Simulation Of Bdsbas Airborne Receiver, Ruihua Liu, Tongwei Wang, Zan Ma
Journal of System Simulation
Abstract: In view of the problem that traditional document-based design methods are difficult to effectively capture the dynamic characteristics and internal interactions in navigation accuracy and integrity assurance required by BeiDou satellite-based augmentation system (BDSBAS) airborne receivers during the approach phase, which easily leads to designs deviating from actual requirements and affects system performance, a model-based systems engineering(MBSE) method was introduced. A multi-dimensional system architecture model encompassing system requirement analysis, behavior description, structure design, and parameter constraints was established. Taking BDSBAS as the object, a co-simulation method of system modeling language and MATLAB for required navigation performance (RNP) was proposed, …
Simulation Study On The Vulnerability Of Belt And Road Composite Transportation Network Based On Cascading Failure, Mingjun Qian, Chao Yin, Zhiwen Huang, Quanneng Wang
Simulation Study On The Vulnerability Of Belt And Road Composite Transportation Network Based On Cascading Failure, Mingjun Qian, Chao Yin, Zhiwen Huang, Quanneng Wang
Journal of System Simulation
Abstract: To address the issues of unclear cascading failure propagation mechanisms and difficult-to-quantify vulnerability evolution laws caused by the structural complexity and node heterogeneity of the "Belt and Road" multimodal transport network, a vulnerability assessment method for composite transportation networks integrating physical analogy and improved cascading failure model was proposed. Sub-networks were constructed based on main transportation modes of the Belt and Road, and nodes in the same city were coupled to build a composite transportation network model. An information entropy-Joule's law model was constructed to identify key nodes of the composite network and its subnetworks. A load-capacity cascading failure …
Distributed Cooperative Control Of Swarm Unmanned Aerial Vehicles Based On Multi-Route Clustering, Yuyang Xiong, Chuntao Li, Wenhao Qiu
Distributed Cooperative Control Of Swarm Unmanned Aerial Vehicles Based On Multi-Route Clustering, Yuyang Xiong, Chuntao Li, Wenhao Qiu
Journal of System Simulation
Abstract: To address the collaborative control and formation maintenance problems of large-scale swarm unmanned aerial vehicles, a distributed cooperative control method for unmanned aerial vehicles based on multi-route clustering was proposed. Leveraging the characteristics of multiple routes, the overall cooperative control problem of the swarm was decoupled into the cooperative control within the same route and the consensus control between multiple routes. Within the same route, a forward-neighbor information interaction mechanism was designed to determine the neighbor relationships, and a velocity-guided cooperative algorithm was utilized to achieve the desired velocity matching and spacing maintenance of unmanned aerial vehicles; between multiple …
Modeling And Simulation Of Efficient State Information Diffusion In Wireless Ad Hoc Networks, Mengyao Jia, Shaozhu Gu, Junhan Wang, Denghao Wang, Du Xu, Xiaoning Zhang
Modeling And Simulation Of Efficient State Information Diffusion In Wireless Ad Hoc Networks, Mengyao Jia, Shaozhu Gu, Junhan Wang, Denghao Wang, Du Xu, Xiaoning Zhang
Journal of System Simulation
Abstract: To solve the problems of significant communication overhead and limited real-time response capability in the traditional flooding-based state diffusion mechanism, an efficient diffusion algorithm based on regional partitioning and information compression was proposed. A multi-dimensional feature clustering method integrating geographic distance and link quality was used to achieve high-cohesion network partitioning through weighted Euclidean distance and the K-means algorithm; a dynamic selection mechanism for representative nodes was designed to conduct comprehensive scoring by combining the link quality and geographic centrality of nodes, realizing the efficient compression and aggregated transmission of regional information. Simulation results indicate that the algorithm significantly …
Trajectory-Aware Dynamic Offloading For High-Mobility Vehicular Edge Systems, Haoran Xu, Zhiqin Huang, Youwu Hu, Zheyi Chen
Trajectory-Aware Dynamic Offloading For High-Mobility Vehicular Edge Systems, Haoran Xu, Zhiqin Huang, Youwu Hu, Zheyi Chen
Journal of System Simulation
Abstract: To address the problems of service interruptions, task failures, and resource waste caused by high mobility of intelligent vehicles (IVs) in vehicular edge computing (VEC), this paper proposes a trajectory-aware dynamic offloading (TADO) framework for high-mobility vehicular edge systems. A lightweight T-pattern trajectory-aware algorithm is designed to efficiently predict the next-hop road side unit (RSU) by mining spatio-temporal patterns from historical trajectories of vehicles, offering a forward-looking reference for offloading decisions. A joint optimization model is constructed, and a service interruption risk factor driven by trajectory prediction is introduced. An improved DRL method is developed. It takes the predicted …
Multi-Auv Pursuit Algorithm With Phased Guidance Based On Maddpg, Sen Zhang, Sihang Shen, Xiaojie Sun, Jingping Shao, Shuaiqiang Guo, Yingjie Deng
Multi-Auv Pursuit Algorithm With Phased Guidance Based On Maddpg, Sen Zhang, Sihang Shen, Xiaojie Sun, Jingping Shao, Shuaiqiang Guo, Yingjie Deng
Journal of System Simulation
Abstract: To address the problems such as low exploration and sampling efficiency and sparse rewards in the early training stage under the complex target pursuit environment of multiple AUVs based on MADDPG, a phased-guidance curriculum MADDPG (PGC-MADDPG) algorithm was proposed. The pursuit task was divided into two phases, i.e., target tracking and encircling, through curriculum learning. In the target tracking phase, an experience strategy based on the APF method was introduced as a guidance item to provide prior knowledge of the target direction and accelerate the AUV training speed. After entering the encircling phase, the APF guidance item was removed, …
Study On Trajectory Optimization Of Spray Painting Robot Based On Improved Sparrow Search Algorithm, Jie Yang, Zhenkai Xiong, Longyan Wang
Study On Trajectory Optimization Of Spray Painting Robot Based On Improved Sparrow Search Algorithm, Jie Yang, Zhenkai Xiong, Longyan Wang
Journal of System Simulation
Abstract: To address the challenges posed by the complex working environment to the trajectory planning of the spray painting robot, a multi-strategy integrated sparrow search algorithm (MISSA) was proposed with the dual optimization objectives of time efficiency and motion smoothness. The 3-5-3 polynomial interpolation method was adopted to design the trajectory curve, aiming to ensure continuous angular displacement, angular velocity, and angular acceleration throughout the process. A multidimensional optimization problem with joint constraints was constructed using the total trajectory duration as the performance index. MISSA, which integrates refraction reverse learning, sine-cosine adaptive adjustment, and Cauchy mutation, was utilized to optimize …
Simulation Platform Based On Soc-Fpga Clusters For Cxl-Ethernet Heterogeneous Interconnection, Xu Zhang, Ke Liu, Mingyu Chen
Simulation Platform Based On Soc-Fpga Clusters For Cxl-Ethernet Heterogeneous Interconnection, Xu Zhang, Ke Liu, Mingyu Chen
Journal of System Simulation
Abstract: To address the difficulty of balancing simulation speed and topology flexibility when simulating large-scale, CXL-Ethernet heterogeneous interconnect datacenter scenarios with existing CXL simulation platforms, this paper presents CNetSim, a semi-physical simulation platform based on an SoC-FPGA cluster. The platform employs SoC-FPGA hardware to emulate endpoint nodes, leveraging their real processors and memory devices as well as FPGA-implemented CXL. mem protocol to support high-speed execution of standard Linux systems and real distributed applications. Meanwhile, it utilizes the flexible topology configuration capability of software simulation to implement CXL switched networks and inter-rack Ethernet interconnects based on DPDK on simulation servers. Simulation …
Optimization Of Convective Heat Transfer Parameters For Spindles Based On Finite Element Thermal Analysis, Jiali Zhang, Haiping Liu, Qinsheng Jiang, Sina Dang
Optimization Of Convective Heat Transfer Parameters For Spindles Based On Finite Element Thermal Analysis, Jiali Zhang, Haiping Liu, Qinsheng Jiang, Sina Dang
Journal of System Simulation
Abstract: In view of the low simulation accuracy of existing finite element models for thermal characteristics of spindles caused by ignoring the influences of geometric characteristics of convective surfaces and fluid flow patterns and often adopting constant temperature loading in the setting of convective heat transfer boundary conditions, this paper proposed an optimization method for convective heat transfer parameters of spindles based on finite element thermal analysis. Combined with the geometric shapes and spatial positions of various convective surfaces of the spindle system, the calculation criterion of the convective heat transfer coefficient was determined through dimensional analysis according to the …
Simulation And Optimization Of Task Offloading In Mine Edge Computing For Low-Concurrency Devices, Zhaolu Guo, Qianhui Liu
Simulation And Optimization Of Task Offloading In Mine Edge Computing For Low-Concurrency Devices, Zhaolu Guo, Qianhui Liu
Journal of System Simulation
Abstract: With the advancement of mine intelligence, task offloading technology has become a core technology of mine edge computing (MEC). For edge computing systems deployed with mine low-concurrency devices (MLCD), a discrete-event simulation model for MEC task offloading oriented to MLCD was constructed to solve the collaborative optimization problem of task processing latency and load balancing of mine edge servers (MES). By dynamically simulating the queuing, transmission, and computation processes of tasks, the objective of minimizing task processing latency was achieved. An improved evolutionary algorithm, ISBT-EA, was proposed, which integrated a task-characteristic-driven initialization strategy and local search operators, enhancing the …