Digital Commons Network^™

Joint Estimation Of The State And Parameters Of Dynamic Control Objects Based On The Maine Estimator, Yulduz Abdurakhmanova

Chemical Technology, Control and Management

The issues of constructing an adaptive joint estimation of the state and parameters of dynamic control objects using the Maine estimator are considered. There are various variants of the extended filter, and a variant based on iterations between parameter and state estimates was used in the work. In this version of the extended Kalman filter, the problem of joint parameter and state estimation is solved in such a way that parameter estimation is performed before state estimation. Then, the parameter values are used to assess the state. In this case, further iterations between the state vector estimation and the parameter …

Methods For Detecting Anomalies In Network Traffic Based On One-Class Svm Technology, Komil Kerimov, Sardor Kurbanov, Zarina Azizova

Chemical Technology, Control and Management

This article is dedicated to the research and application of the One-Class Support Vector Machines method for detecting anomalies in network traffic. It examines the problems of detecting anomalies in network traffic and proposes a methodology for using One-Class SVM, including an overview of the main concepts and formulas of the algorithm. A discussion of the results of One-Class SVM is presented, including interpretation, advantages, limitations and possible directions for development of the proposed technique, as well as the practical significance of using the proposed method for detecting anomalies in network traffic.

A Transcendental Phenomenological Study Of The Lived Experiences Of Special Educators Working In A Juvenile Detention Center, Karli M. Piskurich

Doctoral Dissertations and Projects

The purpose of this transcendental phenomenological study was to describe the lived experiences of special educators working in a juvenile detention facility, and their perceptions of the relation of juveniles with disabilities to recidivism. Gardner’s theory of multiple intelligences guided this study, as it allows educators to provide differentiated and individualized instruction to incarcerated youth with disabilities. A secondary theory used was Skinner’s behaviorist theory, as educators of students with disabilities implement various behavioral strategies pertaining to the students’ needs. With respect to the purpose and theories, the central research question that guided this study was, “What are educators’ experiences …

Butte Mine Flooding Operable Unit Berkeley Pit And Discharge Pilot Project – January 2025 Monthly Discharge Monitoring Report, Mark Thompson, Dave Griffis

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Re: Comment Letter For The Butte Priority Soils Operable Unit (Bpsou) Butte Treatment Lagoons (Btl) Groundwater Treatment System Routine Operations, Maintenance, And Monitoring (Om&M) Plan (Dated December 10, 2024), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

The Spread Of Tuberculosis Cases In The Highlands And Coastal Areas Of Padang, Rapitos Sidiq, Indang Dewata, Heldi Heldi, Nurhasan Syah, Linda Handayuni, Al Asyary

Kesmas

The current tuberculosis (TB) worldwide situation is very concerning in terms of the number of cases and the death toll, as well as the environmental factors that contribute to its transmission. This has driven policy decisions that aim to enhance contemporary TB control efforts. This study aimed to map the pattern of TB spread based on geographic location, particularly in the highland and coastal areas of Padang City, West Sumatra Province, Indonesia. This study employed a quantitative descriptive analysis using secondary data from 6 primary health care (PHC) from April 2022 to March 2023, comprising 896 cases. Data analysis was …

Prevalence Of Low Back Pain Among Office Workers During The Covid-19 Pandemic In Various Countries: A Systematic Review, Yosephine Roma Intan, Ririn Arminsih Wulandari, Popy Yuniar

Kesmas

The COVID-19 pandemic has led to the implementation of work from home policies in almost all parts of the world. This policy has increased the onset of musculoskeletal disorders in workers, such as low back pain (LBP). This study aimed to examine the prevalence of LBP among office workers during the COVID-19 pandemic after implementing WFH policies. This study was performed using data from various countries to determine the relationship between LBP and several risk factors, specifically age, sex, physical activity, ergonomic factors, as well as work environment factors such as temperature, humidity, lighting, noise, and work duration. A systematic …

Transformers As Transducers, Lena Strobl, Dana Angluin, David Chiang, Jonathan Rawski, Ashish Sabharwal

Faculty Research, Scholarly, and Creative Activity

We study the sequence-to-sequence mapping capacity of transformers by relating them to finite transducers, and find that they can express surprisingly large classes of (total functional) transductions. We do so using variants of RASP, a programming language designed to help people “think like transformers,” as an intermediate representation. We extend the existing Boolean variant B-RASP to sequence-to-sequence transductions and show that it computes exactly the first-order rational transductions (such as string rotation). Then, we introduce two new extensions. B-RASP[pos] enables calculations on positions (such as copying the first half of a string) and contains all first-order regular transductions. S-RASP adds …

The Nanograv 15 Yr Dataset: Posterior Predictive Checks For Gravitational-Wave Detection With Pulsar Timing Arrays, Gabriella Agazie, Akash Anumarlapudi, Anne M. Archibald, Zaven Arzoumanian, Jeremy G. Baier, Paul T. Baker, Bence Becsy, Joey S. Key, Jing Luo, Joseph D. Romano

Physics & Astronomy Faculty Publications

Pulsar timing array experiments have reported evidence for a stochastic background of nanohertz gravitational waves consistent with the signal expected from a population of supermassive black hole binaries. Their analyses assume power-law spectra for intrinsic pulsar noise and for the background, as well as a Hellings-Downs cross-correlation pattern among the gravitational-wave-induced residuals across pulsars. These assumptions may not be realized in actuality. We test them in the NANOGrav 15 yr dataset using Bayesian posterior predictive checks. After fitting our fiducial model to real data, we generate a population of simulated dataset replications. We use the replications to assess whether the …

Importing Educators: A Phenomenological Study Examining The Community Mentorship Experiences Of First-Year Jamaican Immigrant Teachers Across Schools In The Southeastern United States, Nadralee Bixler

Doctoral Dissertations and Projects

The purpose of this phenomenological study was to describe the community mentorship experiences of first-year Jamaican immigrant teachers at schools in the Southeastern United States. The theory guiding this study is McMillan and Chavis's theory of sense of community, which provided a framework for understanding the critical factors of community, a sense of belonging, shared values, influence, and fulfillment of needs that contribute to an inclusive community for first-year Jamaican immigrant teachers. This qualitative research utilized a transcendental phenomenological approach, which enabled me to delve into the shared elements and the essence of the participants' experiences around community mentorship. Jamaican …

A Standardized Methodology For Evaluating A Digital Badging System [ Data Package ], Benjamin T. Pederson, Mark G. Reith, Ralucca Gera, David S. Long, Edward D. White, Jonathan Zemmer

Faculty Publications

Digital badges, a form of micro-credentials, have grown in popularity over the past decade. However, few standard processes exist to assess the potential of digital badging systems within an organization. This study proposes a generalizable methodology for comparing a badging system with other methods of recording skills and competencies. The experimental design is tested using the military's cyber operations community as the target organization. Finally, mixed-method data from thirty-six participants is analyzed in accordance with the methodology. Based on the results, digital badging systems are perceived to be more valuable and usable than a current method of military talent management. …

A Quantitative Causal-Comparative Study Of The Effect Of Differing Levels And Years Of Experience On Christian Teachers’ Instructional Differentiation Scores, Audra Callahan Locklear

Doctoral Dissertations and Projects

This quantitative causal-comparative study explores the relationship between teachers’ differentiation scores on the Classroom Practices Surveys for teachers with more than five years or fewer than five years teaching experience among elementary and secondary educators in Christian Schools. The importance of this study lies in understanding the differentiation practices Christian school teachers use in serving their students. This study involved 123 teachers that are employed by Christian schools in various regions in the United States. The Classroom Practices Survey was made available through Facebook and snowballing. Statistical analysis was completed using a Two-Way ANOVA which examined the frequency of differentiation …

On Realizability Of Some Graphs, Runze Wang

Communications on Number Theory and Combinatorial Theory

A graph H is said to be realizable by a graph G if for any vertex v in G, the induced subgraph of G on the neighborhood of v is isomorphic to H. In this paper, we show that a complete multipartite graph is realizable if and only if each of its parts has the same size; characterize the graphs by which a complete multipartite graph with each part having the same size is realizable; show that all cluster graphs are realizable; prove that a wheel is realizable if and only if it has four vertices; prove that …

Volume 32-1 Complete Issue, C. Nicholas Raphael

The Geographical Bulletin

Volume 32-1 Complete Issue

Editorial Comments Geography And Yesteryear, Geoffrey J. Martin

The Geographical Bulletin

Have you noticed how we revere what is new? A new scholarly book, a new text book, a new article, a new idea, a new assessment, a new terminology all seem to readily command our attention. This is not surprising for we live in a society which places a premium on what is new; and what is new is considered best. Now such an evaluation is probably legitimate for the accumulative sciences ... mathematics, physics, chemistry, biology. It is eminently not true for art, music and literature; Leonardo da Vinci and Rembrandt, Mozart and Tchaikovsky, Chaucer and Shakespeare, each speak …

How Regulators Can Use Ai, John J. Nay, Troy A. Paredes

Vanderbilt Law Review En Banc

No abstract provided.

Teaching And Normalizing Digital Accessibility For Students In The Chemical Sciences, Stefano C G Biagini

Journal of Science Education for Students with Disabilities

Digital accessibility is the inclusive practice of ensuring that all people can equally access digital information. However, this good practice has yet to be fully embraced by practitioners and educators in the chemical sciences. This article will describe and explain the key requirements of digital accessibility and how they apply to educators in the chemical sciences, with the emphasis on supporting visually impaired students; it will illustrate a case study of training students in adopting digital accessibility good practices in order to enable a culture change of greater inclusivity for the next generation; and finally illustrate low cost laboratory adaptations …

The Indiana Statesman, February 27, 2025, Indiana State University

Student Newspaper

Black History Month; History walk celebrates black authors

Minutes, College Of Liberal Arts Executive Committee Meeting, Thursday, February 27, 2025, College Of Liberal Arts Executive Committe

Executive Committee Minutes

No abstract provided.

February 27, 2025, James Madison University

The Breeze, 2020-

The Breeze is the student newspaper of James Madison University in Harrisonburg, Virginia.

Female Students With Disabilities’ Perceptions Of Science, Technology, Engineering, Mathematics Education, Toni Anne Walkowiak

Walden Dissertations and Doctoral Studies

The demand to increase enrollment in science, technology, engineering, and mathematics (STEM) education programs has intensified globally since the early 21st century. Researchers have concentrated on the gender divide with limited research on female students with disabilities (FSwDs). The purpose of this qualitative study was to explore FSwDs’ perceptions of their successes and challenges with accessibility, inclusion, and support experienced in STEM education programs, as well as their recommendations for improving policies and practices in STEM higher education. The study was grounded in social identity and social learning theories. For this basic qualitative design, semistructured interviews were conducted with nine …

Stochastic Gradient Descent-Based Inference For Dynamic Network Models With Attractors, Hancong Pan, Xiaojing Zhu, Cantay Caliskan, Dino P. Christenson, Konstantinos Spiliopoulos, Dylan Walker, Eric D. Kolaczyk

Business Faculty Articles and Research

In Coevolving Latent Space Networks with Attractors (CLSNA) models, nodes in a latent space represent social actors, and edges indicate their dynamic interactions. Attractors are added at the latent level to capture the notion of attractive and repulsive forces between nodes, borrowing from dynamical systems theory. However, CLSNA reliance on MCMC estimation makes scaling difficult, and the requirement for nodes to be present throughout the study period limit practical applications. We address these issues by (i) introducing a Stochastic gradient descent (SGD) parameter estimation method, (ii) developing a novel approach for uncertainty quantification using SGD, and (iii) extending the model …

February 27, 2025, Caa

Minutes

No abstract provided.

Two-Key Dependent Permutation (Tkdp) And Its Applications In Information Security, Arulmani K

Theses and Dissertations

Two-Key Dependent Permutation (TKDP) algorithm for generating permutation sequences of fixed sizes, TKDP based Symmetric Block Cipher (TKDPSBC) and TKDP Audio encryption are being proposed in this thesis. TKDP algorithm is capable of generating different sequences for different key pairs. This makes it suitable for constructing dynamic S-boxes and P-boxes that have more degree of randomness and non-linearity to resist cryptanalytic attacks. Rigorous statistical tests validate the efficacy of the generated permutation sequences, affirming their suitability for cryptographic applications in conjunction with Fiestel network-based block ciphers. TKDPSBC encrypts a plaintext block into a ciphertext block of the same size. TKDP …

Executive Functioning, Diabetes Distress, And Diabetes Management Among Adolescents With Type 1 Diabetes: Youth And Parent Perspectives, Allison Choe, Emily M. Fredericks, Dana L. Albright, Joyce M. Lee, Julie M. Sturza, Hurley O. Riley, Niko Kaciroti, Katherine W. Bauer, Allison L. Miller

Health Services and Informatics Research

Objective: Most adolescents with Type 1 Diabetes (T1D) do not achieve recommended glycemic targets, placing them at risk for long-term complications. Executive functioning (EF), or the cognitive processes that support goal-directed action and management of behavior, emotion, and cognition, is proposed to support effective T1D management and contribute to glycemic stability. We sought to examine associations of EF with T1D management behaviors and diabetes-related distress in adolescents with T1D.

Methods: Participants were 13–17-year-olds (M = 15.44, SD = 1.38 years) from a randomized controlled trial (N = 88). We conducted secondary analyses of preintervention data. Youth and their …

Exploring The Feasibility Of Head‐Tracking Data For Cybersickness Prediction In Virtual Reality, Ananth Ramaseri-Chandra, Hassan Reza, Prasad Pothana

Graduate Research Achievement Day Posters

Traditional methods for predicting cybersickness rely on self-reported questionnaires or physiological signals from specialized sensors, which have their limitations. This study explores the potential of using real-time, easily acquired head-tracking data (HTD) from standard VR headsets as a scalable alternative for estimating cybersickness. Twenty-eight participants engaged in a VR session using an Oculus Quest 2 headset while their HTD was recorded. Kinematic metrics such as linear and angular velocity, acceleration, and jerk were computed from the HTD, including positional and angular parameters. Participants’ cybersickness levels were assessed using the Virtual Reality Sickness Questionnaire. The Gradient Boosting model demonstrated superior performance, …

Modeling And Evaluation Of False Data Injection Attacks (Fdia) In Der Inverters, Tanzim Jim Hassan, Akshay Ram Ramchandra, Farishta Rahman, Prakash Ranganathan

Graduate Research Achievement Day Posters

This poster develops and evaluates false data injection attack (FDIA) models to enhance the cybersecurity of distributed energy resources (DER) solar inverters using real-time frequency data from two Fronius single-phase inverters. Fifteen datasets with unique attack patterns were developed and analyzed using machine learning models, where the most challenging anomaly (V3) had F1 scores between 0.425 and 0.76, while the most detectable (V1) achieved up to 0.895. These findings contribute to improving anomaly detection mechanisms for securing distributed energy resources (DER) and ensuring grid stability.

Machinery Imbalance Failure Prediction Based On Pump – Motor Vibration Readings, Abdulrahman Albuflaseh

Theses

Predictive maintenance has emerged as a transformative solution in industrial operations, reducing unexpected machine failures and minimizing downtime. This study explores the application of machine learning in vibration analysis to detect imbalances in pump-motor units, a critical issue that accelerates equipment wear and increases maintenance costs. Traditional maintenance methods, such as scheduled inspections, often fail to identify faults early, leading to significant operational disruptions, particularly in utility, oil and gas sectors. By leveraging real-time vibration data and advanced machine learning techniques, this research aims to develop an efficient imbalance detection model that enhances maintenance efficiency and reliability. The study employs …

University Philharmonic Orchestra & Chamber Ensembles

Bailey School of Music Concert Programs

University Philharmonic Orchestra

Nancy Conley, Conductor

Chamber Ensembles

2025 Final Butte Reduction Works (Brw) Smelter Area Mine Waste Remediation And Contaminated Groundwater Hydraulic Control Site Phase Iii Quality Assurance Project Plan (Qapp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.