Digital Commons Network^™

Fim111.1 Screen Studies And Practice Example 1, Sae University College

Exemplars

Scene analysis completed for FIM111 project 1. This work exceeded all of the learning outcomes by clearly communicating an understanding of key concepts related to film form and narrative.

Mus111.1 Stagecraft And Live Music Example 3, Sae University College

Exemplars

Assessment submission MUS111.1

Mus111.1 Stagecraft And Live Music Example 2, Sae University College

Exemplars

Assessment Submission MUS111.1

Parallel Element-Based Algebraic Multigrid For H (Curl) And H (Div) Problems Using The Parelag Library, Delyan Z. Kalchev, Panayot S. Vassilevski, Umberto Villa

Mathematics and Statistics Faculty Publications and Presentations

This paper presents the use of element-based algebraic multigrid (AMGe) hierarchies, implemented in the Parallel Element Agglomeration Algebraic Multigrid Upscaling and Solvers (ParELAG) library, to produce multilevel preconditioners and solvers for H (curl) and H (div) formulations. ParELAG constructs hierarchies of compatible nested spaces, forming an exact de Rham sequence on each level. This allows the application of hybrid smoothers on all levels and the Auxiliary-Space Maxwell Solver or the Auxiliary-Space Divergence Solver on the coarsest levels, obtaining complete multigrid cycles. Numerical results are presented, showing the parallel performance of the proposed methods. As a part of the exposition, this …

Enhancement Of Er Luminescence From Bridge-Type Photonic Crystal Nanocavities With Er, O-Co-Doped Gaas, Zhidong Fang, Jun Tatebayashi, Ryohei Homi, Masayuki Ogawa, Hirotake Kajii, Masahiko Kondow, Kyoko Kitamura, Brandon Mitchell, Shuhei Ichikawa, Yasufumi Fujiwara

Physics & Engineering Faculty Publications

A bridge-type photonic crystal (PhC) nanocavity based on Er,O-codoped GaAs is employed to realize enhancement of Er luminescence. By adjusting the structural design and measurement temperature, the cavity mode's wavelength can be coupled to Er luminescence. The peak emission intensity from an Er-2O defect center was enhanced 7.3 times at 40 nW pump power and 77 K. The experimental Q-factor is estimated to be over 1.2 x 104, and the luminescence intensity shows superlinearity with excitation power, suggesting Er luminescence amplification. This result would pave the way towards the realization of highly efficient single-photon emitters based on rare-earth elements.

Garnet & Black Fall 2023, University Of South Carolina, Office Of Student Media

Garnet & Black Magazine

No abstract provided.

Conference Program - Advances In Optics For Biotechnology, Medicine And Surgery, Frederic Leblond, Mark Niedre, Summer Gibbs, David . Cuccia, Jonathan Liu

Advances in Optics for Biotechnology, Medicine and Surgery XVII [2023]

No abstract provided.

Vistac Toward A Unified Multimodal Sensing Finger For Robotic Manipulation, Sheeraz Athar, Gaurav Patel, Zhengtong Xu, Qiang Qiu, Yu She

School of Industrial Engineering Faculty Publications

Tactile sensors are crucial in providing contact geometry information necessary for object manipulation. However, it remains highly nontrivial for a tactile sensor to be able to perceive a distant object before manipulation. In this work, we present an innovative robotic finger, VisTac, which seamlessly combines high-resolution tactile and visual perception in a single unified device, while adhering to essential mechanical constraints, such as a human-finger-like wedge-shaped top, vital for manipulation tasks. Furthermore, we discuss the fabrication of a key component in the device; the semitransparent membrane with light-dependent opacity, thus enabling the contact surface to effortlessly transition between visual and …

Thermodynamic Properties Of Common Salts In Aqueous Solutions, Li Shu, Veeriah Jegatheesan, Leonardo Jegatheesan

Research outputs 2022 to 2026

A relationship between the activity of hydrogen ions and charge activity in an aqueous solution has been developed in a previous study. That study also revealed that the potential energy of an aqueous solution can be obtained by multiplying the charge activity with electrostatic potential of the solution. In this study, negative potential energy equalling Gibbs energy of four common salt (NaCl, KCl, NaNO3 and KNO3) solutions were quantified using the charge activity. Then the entropies of those salt solutions were computed using the Gibbs energy, enthalpy, and the charge activity. Charge activities were computed using the pH of those …

Phase-Resolved Real-Time Forecasting Of Three-Dimensional Ocean Waves Via Machine Learning And Wave Tank Experiments, Rui Li, Jincheng Zhang, Xiaowei Zhao, Daming Wang, Martyn Hann, Deborah Greaves

School of Engineering, Computing and Mathematics

Accurate prediction of ocean waves plays an essential role in many ocean engineering applications, such as the control of wave energy converters and floating wind turbines. However, existing studies on phase-resolved wave prediction using machine learning mainly focus on two-dimensional wave data, while ocean waves are usually three-dimensional. In this work, we investigate, for the first time, the phase-resolved real-time prediction of three-dimensional waves using machine learning methods. Specifically, the wave prediction is modeled as a supervised learning task aiming at learning mapping relationships between the input historical wave data and the output future wave elevations. Four frequently-used machine learning …

Metrics Matter: Multiple Diversity Metrics At Different Spatial Scales Are Needed To Understand Species Diversity In Urban Environments, Kathryn A. O'Shaughnessy, Antony M. Knights, Stephen J. Hawkins, Mick E. Hanley, Paul Lunt, Richard C. Thompson, Louise B. Firth

School of Biological and Marine Sciences

Worldwide, natural habitats are being replaced by artificial structures due to urbanisation. Planning of such modifications should strive for environmental net gain that benefits biodiversity and ecosystems. Alpha (α) and gamma (γ) diversity are often used to assess ‘impact’ but are insensitive metrics. We test several diversity measures across two spatial scales to compare species diversity in natural and artificial habitats. We show γ-diversity indicates equivalency in biodiversity between natural and artificial habitats, but natural habitats support greater taxon (α) and functional richness. Within-site β-diversity was also greater in natural habitats, but among-site β-diversity was greater in artificial habitats, contradicting …

Deep Learning Analysis Of Uplc-Ms/Ms-Based Metabolomics Data To Predict Alzheimer's Disease, Kesheng Wang, Laurie A. Theeke, Christopher Liao, Nianyang Wang, Yongke Lu, Danqing Xiao, Chun Xu

Health & Biomedical Sciences Faculty Publications

Objective

Metabolic biomarkers can potentially inform disease progression in Alzheimer's disease (AD). The purpose of this study is to identify and describe a new set of diagnostic biomarkers for developing deep learning (DL) tools to predict AD using Ultra Performance Liquid Chromatography Mass Spectrometry (UPLC-MS/MS)-based metabolomicsdata.

Methods

A total of 177 individuals, including 78 with AD and 99 with cognitive normal (CN), were selected from the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort along with 150 metabolomic biomarkers. We performed feature selection using the Least Absolute Shrinkage and Selection Operator (LASSO). The H2O DL function was used to build multilayer …

Bio-Bibliometric Analysis Of Research Output Of Prof. K.R.Venugopal, Shivaraja O

Library Philosophy and Practice (e-journal)

The present study uses bio-bibliometrics to examine the contributions made by Prof. K.R. Venugopal, the Vice-Chancellor of Bangalore University. He was the Principal of the University Visvesvaraya College of Engineering (UVCE) for 15 years and Chairman of the Department of Electronics and Communications, Computer Science Engineering, and Information Science Engineering at UVCE. He has an illustrious, distinguished, and brilliant academic career with eleven degrees, including two Ph.Ds. He was a post-doctoral research scholar and visiting professor at the University of Southern California, USA. It is essential to study his contributions to understand the magnitudes and contributions in a particular domain. …

Esophageal Dilation: A Cross-Sectional Analysis Of Patient Information, Anh Thu N. Nguyen, April L. Baum, Michael J. Valentine, Caleb Mcnab, Larissa Vollin, Carol E. Kirila

Faculty and Staff Publications

Objective

Complications of esophageal strictures have decreased in recent years due to evolved endoscopic methods. This has primarily been through esophageal dilation. This study examines the level of readability of patient information on esophageal dilation across 40 websites found via internet search.

Methods

In this cross-sectional readability study, the content of the first 40 websites about “esophageal dilation” and “upper GI endoscopy” found via Google search was analyzed using WebFX (Harrisburg, PA), an established readability tool. Five readability indices, each having a unique mathematical formula, were used to analyze online material. Outputs were then scored and averaged together.

Results

The …

About The Authors

Locus: The Seton Hall Journal of Undergraduate Research

Brief bios of our authors.

Fortifying Iot Against Crimpling Cyber-Attacks: A Systematic Review, Usman Tariq, Irfan Ahmed, Muhammad Attique Khan, Ali Kashif Bashir

Karbala International Journal of Modern Science

The rapid growth and increasing demand for Internet of Things (IoT) devices in our everyday lives create exciting opportunities for human involvement, data integration, and seamless automation. This fully interconnected ecosystem considerably impacts crucial aspects of our lives, such as transportation, healthcare, energy management, and urban infrastructure. However, alongside the immense benefits, the widespread adoption of IoT also brings a complex web of security threats that can influence society, policy, and infrastructure conditions. IoT devices are particularly vulnerable to security violations, and industrial routines face potentially damaging vulnerabilities. To ensure a trustworthy and robust security framework, it is crucial to …

Smart Service Function Chain System For Dynamic Traffic Steering Using Reinforcement Learning (Chrl), Ahmed Nadhum, Ahmed Al-Saadi

Karbala International Journal of Modern Science

The rapid development of the Internet and network services coupled with the growth of communication infrastructure necessitates the employment of intelligent systems. The complexity of the network is heightened by these systems, as they offer diverse services contingent on traffic type, user needs, and security considerations. In this context, a service function chain offers a toolkit to facilitate the management of intricate network systems. However, various traffic types require dynamic adaptation in the sets of function chains. The problem of optimizing the order of service functions in the chain must be solved using the proposed approach, along with balancing the …

New Quantum Genetic Algorithm Based On Constrained Quantum Optimization, Mohammed R. Almasaoodi, Abdulbasit M. A. Sabaawi, Sara El Gaily, Sándor Imre

Karbala International Journal of Modern Science

In the past decades, many quantum algorithms have been developed. The main obstacle that prevents the widespread implementation of these algorithms is the small size of the available quantum computer in terms of qubits. Blind Quantum Computation (BQC) holds the promise of handling this issue by delegating computation to quantum remote devices. Here, we introduce a novel Constrained Quantum Genetic Algorithm (CQGA) that selects the optimum extreme (minimum or maximum) value of a constrained goal function (or a vast unsorted database) with very low computational complexity. Since the convergence speed to the optimal solution for the Constrained Classical Genetic Algorithm …

"It Doesn't Just Feel Like Something A Lawyer Slapped Together." Mental-Model-Based Privacy Policy For Third-Party Applications On Facebook, Rizu Paudel, Ankit Shrestha, Prakriti Dumaru, Mahdi Nasrullah Al-Ameen

Computer Science Student Research

Users are often unaware of the information that applications collect and are surprised by unexpected data collection and sharing practices. With numerous third-party applications on Facebook potentially accessing the personal information of billions of users, it is essential to understand users’ mental models of data sharing to help them make informed decisions. To achieve this, we conducted semi-structured interviews using drawings and think-aloud protocol with 32 participants. Our participants had misconceptions regarding third-party applications’ data sharing practices with varied mental models. Based on these findings, we created mental model-based privacy policy design that prompts users to consider a specific scenario …

An Equity Framework To Engage Community College Preservice Teachers In Black Liberatory Practices, Denise Farrelly, Joanna Maulbeck, Laura Scheiber

Northwest Journal of Teacher Education

While representation of teachers of color remains startlingly low nationwide, it is critical to recognize that increasing diversity is not enough to increase access to an inequitable system. Centering the strengths of Black students, on both an individual and institutional level, through culturally and historically-responsive pedagogical and curricular practices is a crucial step toward equitizing the teaching workforce. Using a culturally and historically-responsive literacy (HRL) framework, we discuss and reflect upon practical classroom-based approaches to engage community college preservice teachers in responsive pedagogical practices that are aligned with the legacy of Black literary societies. The paper is divided into four …

Surface Coverage Dynamics For Reversible Dissociative Adsorption On Finite Linear Lattices, Enrique Mercado, Hyun Tae Jung, Changho Kim, Alejandro L. Garcia, Andy J. Nonaka, John B. Bell

Faculty Research, Scholarly, and Creative Activity

Dissociative adsorption onto a surface introduces dynamic correlations between neighboring sites not found in non-dissociative absorption. We study surface coverage dynamics where reversible dissociative adsorption of dimers occurs on a finite linear lattice. We derive analytic expressions for the equilibrium surface coverage as a function of the number of reactive sites, N, and the ratio of the adsorption and desorption rates. Using these results, we characterize the finite size effect on the equilibrium surface coverage. For comparable N’s, the finite size effect is significantly larger when N is even than when N is odd. Moreover, as N increases, the size …

Music For All: An Intervention Project In An Artistic School In Portugal, Davys Moreno, Júlia Azevedo, Bernardo Lima, Nicola Davanzo

The Qualitative Report

In Portugal, in 2018, an action-research project began to find solutions so that children with cerebral palsy (CP) could learn music in Arts Education Programmes of Music (AEPM). When conducting the characterisation of the child with CP, which gave rise to the study, and a series of literature reviews to find out what has been done in this area, we came across several works related to different Accessible Digital Musical Instruments (ADMIs) which can be employed by users with different needs. In the present case of the child under study, two of these ADMIs were chosen and used because of …

Study On Contexts And Stages Of Digital Content Curation Models: Guidelines For Use In Qualitative Analysis Software, Katia Alexandra De Godoi E Silva, António Pedro Costa

The Qualitative Report

Researchers have shown interest in using software in scientific investigations, expanding literature review strategies in the organization, collection, analysis, and data triangulation. These aspects revealed possibilities for discussions related to digital content curation in Computer-Assisted Qualitative Data Analysis Software (CAQDAS). The choice and organization of qualitative data in scientific research are affected by this complexity of information, which involves planning, contextualization, and ethical dilemmas of sharing, among other aspects that permeate the investigations. Thus, this study aims to contribute to the reflection and analysis of models of digital content curation that can be used in CAQDAS. A qualitative descriptive methodology …

"The President's Own" United States Marine Band, October 14, 2023 [Program], University Of Northern Iowa. School Of Music.

Music Recital Programs

Program of a music recitals given by faculty, students, or guest artists from the School of Music at the University of Northern Iowa.

Coexistence Of Specialist And Generalist Species Within Mixed Plastic Derivative-Utilizing Microbial Communities, Laura G. Schaerer, Lindsay I. Putman, Isaac Bigcraft, Emma Byrne, Daniel G. Kulas, Ali Zolghadr, Sulihat Aloba, Rebecca Ong, David Shonnard, Stephen Techtmann

Michigan Tech Publications

BACKGROUND Plastic-degrading microbial isolates offer great potential to degrade, transform, and upcycle plastic waste. Tandem chemical and biological processing of plastic wastes has been shown to substantially increase the rates of plastic degradation however, the focus of this work has been almost entirely on microbial isolates (either bioengineered or naturally occurring). We propose that a microbial community has even greater potential for plastic upcycling. A microbial community has greater metabolic diversity to process mixed plastic waste streams and has built-in functional redundancy for optimal resilience. RESULTS Here, we used two plastic-derivative degrading communities as a model system to investigate the …

The Fierce Green Fire: Vol. 14 Issue 6, Wofford College Environmental Studies Program

The Fierce Green Fire

No abstract provided.

Dtitd: An Intelligent Insider Threat Detection Framework Based On Digital Twin And Self-Attention Based Deep Learning Models, Zhi Qiang Wang, Abdulmotaleb El Saddik

Computer Vision Faculty Publications

Recent statistics and studies show that the loss generated by insider threats is much higher than that generated by external attacks. More and more organizations are investing in or purchasing insider threat detection systems to prevent insider risks. However, the accurate and timely detection of insider threats faces significant challenges. In this study, we proposed an intelligent insider threat detection framework based on Digital Twins and self-attentions based deep learning models. First, this paper introduces insider threats and the challenges in detecting them. Then this paper presents recent related works on solving insider threat detection problems and their limitations. Next, …

Understanding The Soil Water Dynamics During Excess And Deficit Rainfall Conditions Over The Core Monsoon Zone Of India, Mangesh M. Goswami, Milind Mujumdar1, Bhupendra Bahadur Singh, Madhusudan Ingale, Naresh Ganeshi, Manish Ranalkar, Trenton E. Franz, Prashant Srivastav, Dev Niyogi, R Krishnan, S N. Patil

School of Natural Resources: Faculty Publications

Observations of soil moisture (SM) during excess and deficit monsoon seasons between 2000 to 2021 present a unique opportunity to understand the soil water dynamics (SWD) over core monsoon zone (CMZ) of India. This study aims to analyse SWD by investigating the SM variability, SM memory (SMM), and the coupling between surface and subsurface SM levels. Particularly intriguing are instances of concurrent monsoonal extremes, which give rise to complex SWD patterns. Usually, it is noted that a depleted convective activity and persistence of higher temperatures during the pre-monsoon season leads to lower SM, while monsoon rains and post-monsoon showers support …

Interval-Valued Fermatean Neutrosophic Shortest Path Problem Via Score Function, Said Broumi, S. Krishna Prabha, Vakkas Uluçay

Neutrosophic Systems with Applications

Contemporary mathematical techniques have been crafted to address the uncertainty of numerous real-world settings, including Fermatean neutrosophic fuzzy set theory. Fermatean neutrosophic fuzzy set is an extension of combining Fermatean and neutrosophic sets. A Fermatean neutrosophic set was developed to enable the analytical management of ambiguous data from relatively typical real-world decision-making scenarios. Decision-makers find it challenging to determine the degree of membership (MG) and non-membership (NG) with sharp values due to the insufficient data provided. Intervals MG and NG are suitable options in these circumstances. In this article, the shortest route issue is formulated using an interval set of …

The Santa Clara, 2023-10-13, Santa Clara University

The Santa Clara

No abstract provided.