Digital Commons Network^™

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 …

The George-Anne Daily, Georgia Southern University

George-Anne Media Group: Newsletters & Magazines

No abstract provided.

09.16.2024 Orsp Connect, Liz Williamson

ORED Newsletter

Human Research with AI workshop

External Funding Opportunities for Students

Ai Assignment Entr 101, Sheila K. Hanson

AI Assignment Library

The purpose of this assignment is to learn how to responsibly use AI (specifically ChatGPT for this assignment) to do background research and brainstorming for your famous entrepreneur term paper research assignment.

Evaluating Llm Generative A.I. Responses To Engineering Design Questions, Dominik Steinhauer

AI Assignment Library

Students will utilize different Large Language Model Generative A.I. Software to ask an Engineering Design Question relevant to their Sr. Design Project. The students will then assess the A.I. responses on usability, relevance, & accuracy. Finally, the students will reflect on the results of the assessments and their thoughts on LLM Generative A.I. This is an In Class Discussion assignment intended to build off of previous lectures on Information/Digital Literacy, Assessment of Sources, Large Language Model Generative A.I., and Prompt Engineering.

Improve Your Article With Lexis+ Ai, Dan Lewerenz

AI Assignment Library

In this class, students draft and improve an article as if for publication in a lawyer-directed professional journal. This assignment teaches students how to use generative AI tools to improve their written product.

Beyond Covid: Towards A Transdisciplinary Synthesis For Understanding Responses And Developing Pandemic Preparedness In Alaska, Taylor P. Van Doren, Ryan A. Brown, Guangqing Chi, Patricia Cochran, Katie Cueva, Laura Eichelberger, Ruby Fried, Stacey Fritz, Micah B. Hahn, Ron Heintz, Davin Holen, Andrey N. Petrov

Faculty Publications

Pandemics are regularly occurring events, and there are foundational principles of pandemic preparation upon which communities, regions, states, and nations may draw upon for elevated preparedness against an inevitable future infectious disease threat. Many disciplines within the social sciences can provide crucial insight and transdisciplinary thinking for the development of preparedness measures. In 2023, the National Science Foundation funded a conference of circumpolar researchers and Indigenous partners to reflect on COVID-19-related research. In this article, we synthesise our diverse social science perspectives to: (1) identify potential areas of future pandemic-related research in Alaska, and (2) pose new research questions that …

United States Department Of Health And Human Services Scientific Integrity Policy (September 16, 2024)

Copyright, Fair Use, Scholarly Communication, etc.

United States Department of Health and Human Services Scientific Integrity Policy (September 16, 2024)

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 …

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. …

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 …

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 …

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.

Human Resources 2023-24, Southwestern Oklahoma State University

IPEDS

IPEDS Report created 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

Animation As Therapy For Mental Health Treatment Across Diverse Populations And Contexts, A Literature Review, Daneile Tabana

Expressive Therapies Capstone Theses

Scientific research has explored and identified the beneficial relationship between health and creative expression, recognizing art therapy as a source of healing. Animation has been newly recognized as an art therapy medium with potential for therapeutic healing and increased psychological well-being. This review of the literature on animation therapy explores the history of the modality’s interaction with the population observed and the effects of animation on the cognitive processes, discusses current theoretical orientations and treatment options for treating a range of conditions that affect mood, thinking, and behavior with animation therapy, and considers culturally informed and client-centered practices alongside traditional …

Phototaxis Is A Satiety-Dependent Behavioral Sequence In Hydra Vulgaris, Jacob T Robinson

Faculty, Staff and Students Publications

Understanding how internal states such as satiety are connected to animal behavior is a fundamental question in neuroscience. Hydra vulgaris, a freshwater cnidarian with only 12 neuronal cell types, serves as a tractable model system for studying state-dependent behaviors. We found that starved hydras consistently move towards light, while fed hydras do not. By modeling this behavior as a set of three sequences of head orientation, jump distance and jump rate, we demonstrate that the satiety state only affects the rate of the animal jumping to a new position, while the orientation and jump distance are unaffected. These findings yield …

A Review Of The Dry Methods Available For Coal Beneficiation, Nikki Hughes, Marco Le Roux, Quentin Peter Campbell, Fardis Nakhaei

Mining Engineering Faculty Research & Creative Works

Water is a precious global resource that is important in most currently employed coal beneficiation practices. These widely accepted processes deliver consistent and precise separation efficiencies at desired product yields and throughputs. Although favored, the water usage related to wet processing may be impractical and unsustainable in certain regions. Consequently, present-day practices used in coal processing may soon have to adapt, irrespective of any improved technical and economic feasibility offered. Therefore, the development of efficacious dry beneficiation methods has become an appealing research topic. This review assembles information pertaining to the principle and success of commercially available and experimental phase …

Criminology And Criminal Justice Researchers’ Experiences And Challenges With Institutional Review Boards, Elaine Gunnison, Jacqueline B. Helfgott

Qualitative Criminology (QC)

"Conducting research in criminology and criminal justice settings brings unique challenges involving human subjects. Prior research has examined the quality and effectiveness of Institutional Review Boards (IRB). However, research on the experiences of criminology and criminal justice researchers when interfacing with their IRBs is scant. This study seeks to fill this gap through the exploration of experiences criminology and criminal justice researchers have had with IRBs. Focus groups were conducted with 13 researchers who were members of the Academy of Criminal Justice Sciences and the American Society of Criminology. Results revealed that participants experienced challenges centering around specific themes …

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 …

Everyday Postsocialism In Eastern Europe: History Doesn't Travel In One Direction, Jill Massino, Markus Wien

Central European Studies

The collapse of state socialism ushered in dramatic political and economic change, producing new freedoms and opportunities, but also new challenges and disappointments. Focusing on laborers, professionals, youth, women, sexual minorities, foreign students, and emigrants, Everyday Postsocialism in Eastern Europe explores these multifaceted changes and people’s varied experiences of them. The featured narratives complicate hegemonic representations of transformation, revealing ruptures and continuities, progress and reversals. Highlighting the multi-directionality of change over the last thirty years, the book reappraises 1989 as an epochal event for all.

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 …