Digital Commons Network^™

Draft Final Blacktail Creek Groundwater Hydraulic Control System Pre-Design Investigation Evaluation Report, Stantec Consulting Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Revised Draft Final Insufficiently Reclaimed Sites Field Sampling Plans (Fsps) And Response To Agency Comments – Bres No. 34e Eveline Dump East, Bres No. 52 Moscow Dump (Dated August 13, 2024) And The Bres No. 78 Original Mine Yard (Updated On September 6, 2024), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

A Comparative Analysis Of Chemotherapeutic Administrations In Inhibiting Glioblastoma Multiforme Cellular Growth Utilizing An Integration Of Differentiation-Based Growth Models And Pharmacokinetic Equations, Anagha Chethan Gowda

Journal of the South Carolina Academy of Science

Glioblastoma multiforme, a disease of grade IV astrocytoma, accounts for 60-70% of malignant brain tumors.¹ Despite its low survival rate, little is known about GBM and its treatment. The purpose of this study was to assess the comparative effectiveness of the most common drugs (temozolomide, carmustine, bevacizumab) in reducing tumor growth within GBM chemotherapy. It was hypothesized that due to their properties as alkylating agents inhibiting growth genes within GBM, temozolomide and carmustine would provide the most reduction in cellular growth mathematically.² VisualPDE simulations were used to model administration of temozolomide, carmustine, bevacizumab, and none in chemotherapy and provide the …

A Comparative Study To Predict Ovarian Cancer, Binadie Wickramasinghe, Gloria Regisford

Journal of the South Carolina Academy of Science

Ovarian cancer is considered the fifth most common cancer type among females in the United States. Furthermore, ovarian cancer accounts for 25% of all gynecologic cancers, and usually, this cancer is diagnosed at a late stage. A patient can live at least five years longer if ovarian cancer is diagnosed early. Therefore, the early diagnosis of ovarian cancer is essential. This study aims to classify ovarian cancer using biomarkers such as ovarian cancer antigen (CA125), tumor necrosis factor alpha (TNF-α), interleukin 6 (IL-6), human epididymis protein 4 (HE4), and anti-TP53 antibodies. Rising or persistent CA125 blood levels provide a highly …

Cortisol And Alpha-Synuclein Stability In Saliva Under Varying Storage And Handling Conditions, Mo Zheng, Sujata Srikanth, Jeremiah Carpenter, Delphine Dean

Journal of the South Carolina Academy of Science

Parkinson’s disease (PD) is a progressive neurodegenerative disorder characterized by motor impairments and non-motor symptoms, significantly impacting patients' quality of life. Currently, cerebrospinal fluid (CSF) is the primary biofluid used for PD biomarker studies, notably α-synuclein, despite the invasive nature of lumbar puncture procedures. Recent work has shown that some of these PD biomarkers have been measured in saliva. As an alternative to CSF, saliva can be non-invasively self-collected by patients repeatedly over time to monitor biomarker levels. However, the stability of these biomarkers in saliva needs to be evaluated before saliva can be considered for patient self-collection studies. Therefore, …

09.16.2024 Orsp Connect, Liz Williamson

ORED Newsletter

Human Research with AI workshop

External Funding Opportunities for Students

Understand Energy Issues With Chatgpt, Haochi Zheng

AI Assignment Library

This assignment is designed for the upper-level undergraduate Environmental and Natural Resource Economics class. The purpose of the assignment is to help students:

• Deepen understanding of the main differences between non-renewable and renewable resources through an experience of using AI technology;
• Collaborate with others to apply the basic Economics theories (consumer and producer principles) in analyzing energy issues and validating the accuracy of online information;

Investigating The Intersection Of Ai And Cybercrime: Risks, Trends, And Countermeasures, Sanaika Shetty, Kyung-Shick Choi, Insun Park

International Journal of Cybersecurity Intelligence & Cybercrime

No abstract provided.

Integrated Model Of Cybercrime Dynamics: A Comprehensive Framework For Understanding Offending And Victimization In The Digital Realm, Troy Smith Phd

International Journal of Cybersecurity Intelligence & Cybercrime

This article introduces the Integrated Model of Cybercrime Dynamics (IMCD), a novel theoretical framework for examining the complex interplay between individual characteristics, online behavior, environmental factors, and outcomes related to cybercrime offending and victimization. The model incorporates key concepts from existing theories, empirical evidence, and interdisciplinary perspectives to provide a comprehensive framework. In contrast to traditional criminological theories, the proposed model integrates concepts from multiple disciplines to offer a holistic framework that captures the complexity of cybercrime and specifically caters for the uniqueness of cyberspace. The article will provide a detailed overview of the conceptual model, its theoretical underpinnings drawing …

Information Technology Strategies To Sustain Customer Satisfaction During Disaster-Related Disruptions, Gbenga Tomilawo

Walden Dissertations and Doctoral Studies

Some small- and medium-sized enterprise (SME) leaders struggle to develop and implement effective information technology (IT) strategies to satisfy customers, leaving their organizations vulnerable during disaster-related disruptions. SME leaders are concerned with effective IT strategies, critical for retaining customer loyalty and sustaining their businesses during such challenges. Grounded in the Kano model, this qualitative multiple-case study aimed to explore IT strategies that SME leaders use to satisfy customers during disasters and other disruptions to business continuity. The participants were four SME owners of IT-sector organizations in the Midwestern region of the United States. Data were collected by conducting semistructured interviews …

The Rider (2024-09-16), Natalie Lapsley

The Rider Archives

Vol.10 No.4

Table Of Contents

Journal of the South Carolina Academy of Science

No abstract provided.

The Effect Of Different Vegetable Oils (Macadamia Nut Oil And Walnut Oil) On The Coefficient Of Friction As A Finish For Oak Wood, Lee Dillon

Journal of the South Carolina Academy of Science

Slipping due to insufficient friction with flooring can cause fatal injuries in workplaces and homes. Oak wood flooring is commonly used in construction to build these environments. In the manufacturing process, wood finishing is conducted at the end of the process to strengthen the properties and longevity of the wood, although it could impact the coefficient of friction (COF) causing slip falls. Vegetable oils, such as macadamia nut and walnut oils, used as wood finishes have gained prominence due to their beneficial aspects to the environment. However, little is known about their effectiveness as a safe coating for wood floors. …

Adam Smith, Human Betterment, And His Erroneous Indentification With Self-Interested Human Action, Vernon L. Smith

ESI Publications

In this essay I discuss the proposition that Adam Smith has been widely misinterpreted as asserting in his second book, The Wealth of Nations, that emergent modern economies are driven by the strictly selfish motives of their human inhabitants. The propositions articulated in his first book, The Theory of Moral Sentiments, which offered a theory of society, extended seamlessly into his second book, and continued to be part of his theory of economy. In both works, he distinguished the universal state of being self-interested from actions taken in one's self-interest, and modeled people as creating and following rules of propriety …

Glaciation Of Mixed-Phase Clouds: Insights From Bulk Model And Bin-Microphysics Large-Eddy Simulation Informed By Laboratory Experiment, Aaron Wang, Steve Krueger, Sisi Chen, Mikhail Ovchinnikov, Will Cantrell, Raymond Shaw

Michigan Tech Publications

Mixed-phase clouds affect precipitation and radiation differently from liquid and ice clouds, posing greater challenges to their representation in numerical simulations. Recent laboratory experiments using the Pi Cloud Chamber explored cloud glaciation conditions based on increased injection of ice-nucleating particles. In this study, we use two approaches to reproduce the results of the laboratory experiments: a bulk scalar mixing model and large-eddy simulation (LES) with bin microphysics. The first approach assumes a well-mixed domain to provide an efficient assessment of the mean cloud properties for a wide range of conditions. The second approach resolves the energy-carrying turbulence, the particle size …

Exposure And Connectedness To Natural Environments: An Examination Of The Measurement Invariance Of The Nature Exposure Scale (Nes) And Connectedness To Nature Scale (Cns) Across 65 Nations, 40 Languages, Gender Identities, And Age Groups, Viren Swami, Mathew P. White, Martin Voracek, Ulrich S. Tran, Toivo Aavik, Hamed Abdollahpour Ranjbar, Sulaiman Olanrewaju Adebayo, Reza Afhami, Oli Ahmed, David A. Frederick

Psychology Faculty Articles and Research

Detachment from nature is contributing to the environmental crisis and reversing this trend requires detailed monitoring and targeted interventions to reconnect people to nature. Most tools measuring nature exposure and attachment were developed in high-income countries and little is known about their robustness across national and linguistic groups. Therefore, we used data from the Body Image in Nature Survey to assess measurement invariance of the Nature Exposure Scale (NES) and the Connectedness to Nature Scale (CNS) across 65 nations, 40 languages, gender identities, and age groups (N = 56,968). While multi-group confirmatory factor analysis (MG-CFA) of the NES supported …

Hierarchical Neural Networks, P-Adic Pdes, And Applications To Image Processing, Wilson A. Zuniga-Galindo, B. A. Zambrano-Luna, Baboucarr Dibba

School of Mathematical & Statistical Sciences Faculty Publications

The first goal of this article is to introduce a new type of p-adic reaction–diffusion cellular neural network with delay. We study the stability of these networks and provide numerical simulations of their responses. The second goal is to provide a quick review of the state of the art of p-adic cellular neural networks and their applications to image processing.

On Signifiable Computability: Part I: Signification Of Real Numbers, Sequences, And Types, Vladimir A. Kulyukin

Computer Science Faculty and Staff Publications

Signifiable computability aims to separate what is theoretically computable from what is computable through performable processes on computers with finite amounts of memory. Real numbers and sequences thereof, data types, and instances are treated as finite texts, and memory limitations are made explicit through a requirement that the texts be stored in the available memory on the devices that manipulate them. In Part I of our investigation, we define the concepts of signification and reference of real numbers. We extend signification to number tuples, data types, and data instances and show that data structures representable as tuples of discretely finite …

Retention By Program Fall 2024, Southwestern Oklahoma State University

Student Outcomes

This is a Student Outcome and Retention Report produced by the SWOSU Office of Institutional Research.

Completions 2023-24, Southwestern Oklahoma State University

IPEDS

IPEDS Report created by the SWOSU Office of Institutional Research

The Making Of (Un)Certainty In Knowledge Production: Rhetoric At Play In A Heritability Controversy, Angelica Camacho, Dominique Robert

Qualitative Criminology (QC)

"(Un)certainty is not an inherent quality of a scientific assertion. It is rather the product of negotiations and collective work performed amidst noisy or quiet scientific debates. Using a controversy on heritability of crime-related behaviors as a case study, this paper proposes an analysis of the rhetoric at play to produce (un)certainty in publications presenting competing arguments. The controversy under study is at the heart of the legitimization of biosocial criminology, a contested field of study. The research shows that on the discursive front, three main strategies are used to modalize the (un)certainty of scientific claims over that of competing …

Research On Digital Twin System Of Rockshaft Hoist, Baiting Zhao, Jianguo Shi, Xiaofen Jia

Journal of System Simulation

Abstract: In order to solve the problem of low intelligence and digitization of the current mine hoisting system, a method based on DT for digital modeling, 3D visualization, and virtual real interaction of shaft hoisting machines is proposed. Aiming at the rockshaft hoist system, based on the digital twin five dimensional model framework, we analyze the operating mechanism of the equipment, and model the fully physical digital system of the rockshaft hoist. By constructing multidimensional multi-scale models and multidimensional heterogeneous data models, twin digital scenes are constructed, and virtual real mapping technology is combined to achieve dynamic mapping and virtual …

A Multimodal Residual Spatial-Temporal Fusion Model Based On Automatic Sleep Classification, Yecai Guo, Shuang Tong

Journal of System Simulation

Abstract: Highly accurate sleep staging plays a crucial role in correctly assessing sleep conditions. Aiming at the problem that the existing convolutional network cannot obtain the topological characteristics of physiological signals, a sleep staging algorithm based on multi-modal residual spatio-temporal fusion is proposed. Time-frequency images and spatio-temporal images are obtained using short-time Fourier transform and adaptive map convolution, which are converted into high-dimensional feature vectors; lightweight interaction of feature information flow is realized through time-frequency feature and spatiotemporal feature extraction modules; the feature enhancement fusion module fuses feature information to outputs sleep staging results. The results show that the model …

Research On Simulation Resource Management Based On Graph Association Organization, Zewei Liu, Yishan Ding, Tingyu Lin, Mingxing Ke, Liqing Guo, Yingying Xiao, Zhilong Zhao, Yan Li, Xuan Lü

Journal of System Simulation

Abstract: The simulation test and evaluation of intelligent system of systems, systems and single equipment is a complex system engineering, which requires effective management of multi-source, heterogeneous and distributed massive simulation resources scattered in cloud test centers and test sites of various units; and good control of dynamically generated tasks, assumptions, configurations, results, evaluations and other data and files. The traditional way of managing and querying simulation resources by category is inefficient and difficult to meet the requirements of large-scale intelligent simulation test and evaluation activities. An overall framework for simulation resource management based on graph association organization, defines a …

Indicator Transfer Learning Based On Cloud Model And Maximum Mean Discrepancy, Lixia Xu, Jilong Zhong, Shaoshi Wu, Yishan Ding, Xiaoyu Zhai, Shizhao Chen, Yizhe Wang, Xue Wen, Juanfang Zeng, Xinwen Hou

Journal of System Simulation

Abstract: In response to the problem of rare data samples in application experiment scenarios, this paper proposes an indicator transfer learning method based on cloud models and Maximum Mean Discrepancy (MMD), which transfers the indicator calculation model from typical simulation experiment scenarios to application experiment scenarios to meet the needs across platform and domain simulation evaluation. Using the maximum mean difference method to align the indicator distribution in the typical simulation experiment scenario to the indicator distribution in the application experiment scenario, thereby achieves indicator transfer, and by using cloud models based on a small number of examples for modeling …

Adversarial Simulation Testing Algorithm For Svm Based On Multi-Objective Evolutionary Optimization, Feixing Li, Lining Xing, Yu Zhou

Journal of System Simulation

Abstract: Machine learning typically mines underlying patterns and rules from data, making it susceptible to phenomena such as overfitting and underfitting, which in turn affects the generalization and robustness of learning models. This paper explores the potential fragility and instability of SVM from the perspective of adversarial simulation testing. The adversarial simulation strategy employed involves selectively contaminating training sample labels to simulate an attack on the SVM classifier, thereby degrading its performance and testing its dependency on training samples. To explore the ceiling of performance degradation of an SVM classifier under the combination attack of different samples, the contradictory objectives …

Simulation Study Of Personnel Evacuation In Fire Scenarios Of Old School Buildings, Qiankun Zhu, Jiwu Li, Yongfeng Du

Journal of System Simulation

Abstract: In order to improve the emergency evacuation capability of an old school building under fire scenarios, a fire evacuation model of an old school building is developed. The PyroSim software is used to build a fire dispersion model to simulate and analyse the changes of smoke visibility, temperature and CO at the safety exit of the fire floor in the school building under the condition of mechanical smoke exhaust, automatic sprinkler and whether the windows of the fire room are open or not. The simulation of the exit status and evacuation of people has been carried out in conjunction …

Research On Orb-Slam Algorithm Based On Windowed Matching Estimation, Wanye Yao, Zewei Pang, Peijie Sun, Zhu Wang

Journal of System Simulation

Abstract: To address unstability of location accuracy of ORB-SLAM system caused by randomness of camera pose solution method, an improved pose solution method based on feature point windowed matching and analytical ICP is proposed, and the mobile robot ORB-SLAM system is constructed. The extracted feature points are windowed to improve matching efficiency while ensuring good feature point matching, the analytical ICP algorithm is used to solve the camera pose for avoiding iteration, and the windowed pose solution with the smallest error is selected for bundle adjustment to reduce the pose errors caused by local information loss or mismatching. The results …

Edge Surveillance Task Offloading And Resource Allocation Algorithm Based On Drl, Chao Li, Jiabao Li, Caichang Ding, Zhiwei Ye, Fangwei Zuo

Journal of System Simulation

Abstract: For the resource limitation of intensive surveillance tasks in edge computing, a surveillance task offloading and resource allocation algorithm based on DRL is proposed. With the optimization objectives of surveillance task delay and recognition accuracy, the joint decision objective optimization solution of task offloading, wireless channel allocation, and image compression rate was modeled as a Markov decision process. To address the problem of slow and unstable algorithm convergence due to the high volatility of training samples caused by the dynamic nature of wireless channels and the randomness of surveillance tasks, an attention mechanism is used to jointly encode channel …

Modeling And Simulation Of Pipeline Cable Inspection Robot Based On Omnidirectional Wheel, Chao Yuan, Yao Zhang, Yadong Zhao, Dawei Xu, Jing Yuan, Yongjie Zhai

Journal of System Simulation

Abstract: Aiming at the problem that the inner space of underground pipeline cable is narrow and closed, which cannot be inspected by humans, and the existing pipeline robot cannot adapt to the special environment of pipeline cable, a miniaturized, compact pipeline cable inspection robot is designed. This robot is capable of operating within the underground pipeline where cables have already been laid to inspect the inner wall of the pipeline and the working condition of the cables. According to the requirements of the working conditions, the whole three-dimensional model of the robot has been established. The mapping relationship between the …