Digital Commons Network^™

Advanced Transistor-Based Dynamic Equivalent Circuit Modeling Of Mesostructured-Based Solar Cells, Eman Farouk Sawires, Sameh O. Abdellatif

Electrical Engineering

This study introduces a pioneering transistor-based equivalent circuit model explicitly tailored for mesostructured-based solar cells, primarily focusing on dye-sensitized solar cells (DSSCs) and perovskite solar cells (PSCs). By incorporating the experimental data spanning various inorganic, organic, and hybrid solar cell technologies across different optical injection levels, the model aims to provide a comprehensive understanding of the electrical behavior of these advanced photovoltaic devices. In addition to the circuit schematic, a Verilog-A script was created to elucidate the behavior of the cells, facilitating the utilization of such a block by the research community in developing interfacing circuits and implementing dc–dc converters …

An Integral Approach To Philosophy Of Nature, Carol Richardson

Journal of Conscious Evolution

Abstract

Quantum physicists and quantum biologists enjoy a mathematically-inspired romance with the wonders of nature at the quantum level. Recognizing the romance of mathematics and the quantum-to-cosmic level relational energetics of Nature can lead to a more integral, romantic, and even embodied phenomenology of the intelligence inherent within Nature’s relational and embodied energies. Approaching this quantum nature of Nature from the more romantic, wholistic views of the right hemisphere of the brain, rather than from the fragmenting views of the left hemisphere of the brain, one can begin to discover the self-organizing abilities of the energies of Nature at all …

Malware Classification Through Abstract Syntax Trees And L-Moments, Anthony J. Rose, Christine M. Schubert Kabban, Scott R. Graham, Wayne C. Henry, Christopher M. Rondeau

Faculty Publications

The ongoing evolution of malware presents a formidable challenge to cybersecurity: identifying unknown threats. Traditional detection methods, such as signatures and various forms of static analysis, inherently lag behind these evolving threats. This research introduces a novel approach to malware detection by leveraging the robust statistical capabilities of L-moments and the structural insights provided by Abstract Syntax Trees (ASTs) and applying them to PowerShell. L-moments, recognized for their resilience to outliers and adaptability to diverse distributional shapes, are extracted from network analysis measures like degree centrality, betweenness centrality, and closeness centrality of ASTs. These measures provide a detailed structural representation …

Nick May, Saxophone, September 11, 2024 [Program], University Of Northern Iowa. School Of Music.

Music Recital Programs

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

Approval Letter For The Butte Priority Soils Operable Unit (Bpsou), Draft Residential Metals Abatement Program Construction Completion Report (Non‐Residential Parcels – Indoor Dust) –East Middle School (Dated March 29, 2024), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Assessing The Adequacy Of A Prediction Model, Abhaya Indrayan, Sakshi Mishra Ms

COBRA Preprint Series

No abstract provided.

Senate Meeting, September 11, 2024, Academic Senate

Academic Senate Minutes

No abstract provided.

Detection Of Sub-Healthy Apples With Watercore Based On Visible/Near-Infrared Transmission Spectroscopy, Wang Chenchen, Zhai Mingcan, Li He, Mo Xiaoming, Zha Zhihua, Wu Jie

Food and Machinery

[Objective] Achieving non-destructive testing of sub-healthy watercore apples. [Methods] First, the logarithmic function method and the power function method proposed by this study were used to correct the sample spectra. Subsequently, the corrected data were converted into different images of gramian angular difference field (GADF), gramian angular summation field (GASF), markov transition field (MTF), recurrence plot (RP), symmetric dot pattern (SDP). Then, the ResNet50 network model with the convolutional block attention module (CBAM) was used to mine the deep image features related to the degree of watercore, which were downscaled by the t-distributed stochastic neighbor embedding (t-SNE) …

Interoperability In Deep Learning: A User Survey And Failure Analysis Of Onnx Model Converters, Purvish Jajal, Wenxin Jiang, Arav Tewari, Erik Kocinare, Joseph Woo, Anusha Sarraf, Yung-Hsiang Lu, George Thiruvathukal, James C. Davis

Computer Science: Faculty Publications and Other Works

Software engineers develop, fine-tune, and deploy deep learning (DL) models using a variety of development frameworks and runtime environments. DL model converters move models between frameworks and to runtime environments. Conversion errors compromise model quality and disrupt deployment. However, the failure characteristics of DL model converters are unknown, adding risk when using DL interoperability technologies. This paper analyzes failures in DL model converters. We survey software engineers about DL interoperability tools, use cases, and pain points (N=92). Then, we characterize failures in model converters associated with the main interoperability tool, ONNX (N=200 issues in PyTorch and TensorFlow). Finally, we formulate …

Ion-Induced Cloud Modulation Through New Particle Formation And Runaway Cloud Condensation Nuclei Production, Kamal Kant Chandrakar, Will Cantrell, Raymond Shaw

Michigan Tech Publications

Cloud formation in the Pi Convection-Cloud Chamber is achieved via ionization in humid conditions, without the injection of aerosol particles to serve as cloud condensation nuclei (CCN). Abundant ions, turbulence, and supersaturated water vapor combine to produce new particles, which grow to become CCN sized and eventually are activated to form clouds. Coupling between the new particle formation and cloud droplets causes predator-prey type oscillations in aerosol and droplet concentrations under turbulent conditions. Leading terms are identified in the budgets for Aitken and accumulation mode aerosols and for cloud droplets. The cloud coupling is proposed to be a result of …

Implementing Reactivity In Molecular Dynamics Simulations With Harmonic Force Fields, Jordan J. Winetrout, Krishan Kanhaiya, Josh Kemppainen, Pieter J. In ‘T Veld, Geeta Sachdeva, Ravindra Pandey, Behzad Damirchi, Adri Van Duin, Gregory Odegard, Hendrik Heinz

Michigan Tech Publications

The simulation of chemical reactions and mechanical properties including failure from atoms to the micrometer scale remains a longstanding challenge in chemistry and materials science. Bottlenecks include computational feasibility, reliability, and cost. We introduce a method for reactive molecular dynamics simulations using a clean replacement of non-reactive classical harmonic bond potentials with reactive, energy-conserving Morse potentials, called the Reactive INTERFACE Force Field (IFF-R). IFF-R is compatible with force fields for organic and inorganic compounds such as IFF, CHARMM, PCFF, OPLS-AA, and AMBER. Bond dissociation is enabled by three interpretable Morse parameters per bond type and zero energy upon disconnect. Use …

Exploring The Impact Of Conceptual Bottlenecks On Adversarial Robustness Of Deep Neural Networks, Bader Rasheed, Mohamed Abdelhamid, Adil Khan, Igor Menezes, Asad Masood Khatak

All Works

Deep neural networks (DNNs), while powerful, often suffer from a lack of interpretability and vulnerability to adversarial attacks. Concept bottleneck models (CBMs), which incorporate intermediate high-level concepts into the model architecture, promise enhanced interpretability. This study delves into the robustness of Concept Bottleneck Models (CBMs) against adversarial attacks, comparing their original and adversarial performance with standard Convolutional Neural Networks (CNNs). The premise is that CBMs prioritize conceptual integrity and data compression, enabling them to maintain high performance under adversarial conditions by filtering out non-essential variations in input data. Our extensive evaluations across different datasets and adversarial attacks confirm that CBMs …

Could A Carbon Tax Improve Utah's Air Quality And Mitigate Climate Change?, Rose Cameron, Kendall Becker, Alexi Elizabeth Lamm, Scott Hotaling

All Current Publications

Urban areas in Utah have suffered from poor air quality since Euro-American settlement in 1847. Because today’s harmful air pollutants and carbon dioxide—the most significant driver of contemporary climate change—are often emitted together, a carbon tax could improve air quality while also mitigating climate change. Here, we explore how Sweden has successfully implemented a carbon tax and consider the viability of a similar approach for Utah. While a carbon tax would pressure Utah’s transportation and energy sectors to reduce reliance on fossil fuels, revenue from the tax could finance renewable energy infrastructure to support companies transitioning away from fossil fuels …

Fuzzy Pid Design For Rotating Speed Of Rolling Drum Of Tea Twisting Machine Based On Stm32, He Yuchi, Chen Yongle, He Liang, Wu Ruimei, Ling Xuelong, Xiong Aihua

Food and Machinery

[Objective] To meet the requirements of constant and adjustable rotation speed of rolling barrel and constant rotation speed of rolling barrel when tea is rolled. [Methods] The 6CR-55 single-column disc twisting machine was used as the research object in this paper. Fuzzy control algorithm and PWM closed-loop control method were investigated to study the stable control of rotating speed of rolling drum, and established the mathematical model of rotating speed control system of rolling drum based on the STM32 single-chip microcontroller. The simulation experiments of uncorrected, PID and fuzzy PID algorithm control system were carried out by MATLAB. [Results] Compared …

Shelf-Life Prediction Model Of Premna Microphylla Turez Jelly, Wang Wei, Zhao Wuqi, Tian Yuan, He Liucheng, Chen Yueyuan

Food and Machinery

[Objective] The influence of different storage temperatures on the quality and total number of microbial colonies of Premna microphylla Turez jelly was studied, and the shelf-life prediction model based on quality indexes and the total number of colonies were established. [Methods] P. microphylla Turez jelly were stored at temperatures of 1, 4, 10, 15, 20 and 25 ℃, and the hardness, adhesiveness, springiness, chewiness, water holding capacity and total number of colonies were regularly measured. The influence of different temperatures on the quality indexes and the total number of colonies were discussed, and the fitting equations of each monitoring index …

The Impact Of Rising Interest Rates, Bank Deposit Betas, And Credit Risk, Abby Craig, Jarrett Grose, Justin Tersoglio, Noah Vanhoy, Brooke Vivenzio

James Madison Undergraduate Research Journal (JMURJ)

Inflation of the U.S. dollar drove the Federal Reserve Board to enact four interest rate hikes of 0.75% and additional smaller hikes between March 2022 and April 2023. This paper examines how interest rate hikes affect bank deposit betas and credit risk for community banks, hot money banks, and alternative lending institutions based on data from March 2022 to April 2023. After analyzing data from the Federal Reserve Economic Database, this research found that bank deposit betas increase as interest rates rise, that community banks’ betas increase at a slower rate than hot money banks’ betas, and that the level …

Augmented Reality In Higher Education: Perspectives Of Telecommunication Engineering Students, Kifaya Sabbah, Allam Mousa, Fayez Azez Mahamid

An-Najah University Journal for Research - B (Humanities)

Objectives: The paper presents a novel experiment in Palestinian higher education that uses augmented reality technology. The study employs qualitative methods. Methods: The experiment was carried out on 15 students enrolled in microwave engineering course at An-Najah National University's telecommunication engineering department. With the research sample, semi-structured interviews and surveys were conducted, and the obtained data was analysed using theme coding. Findings: The qualitative analysis and thematic coding produce seven major topics, including benefits, future hope, challenges, reflections, initial impression, attitudes, and prior experience. The highest frequency was for benefits with 34.6% and the lowest frequency was for prior experience …

An Exploration Of Cognitive Benefits Of Efl Learning In A Monolingual Jordanian Context, Mohammad Hamad Al-Khresheh, Sali Karmi

An-Najah University Journal for Research - B (Humanities)

Objective: This study examined the cognitive benefits of English language learning in Jordan’s predominantly monolingual context, an area that remains largely unexplored. Methodology: A methodically crafted, literature-based survey was administered to a representative sample of 365 Jordanians, selected through random sampling, utilizing a quantitative research design. Findings: The analysis underlined several pronounced cognitive benefits of English language mastery. Key enhancements spanned domains such as attentional control, memory retention, overall health, and creative thinking. Furthermore, the linguistic journey often translated into socio-cultural advantages, facilitating richer intercultural exchanges, fostering deeper friendships, and broadening global perspectives. Interestingly, urban residency and higher educational attainment …

Faculty Senate Minutes 2024-09-10, The University Of Texas Rio Grande Valley. Faculty Senate.

Faculty Senate Minutes

No abstract provided.

In Re: The Hertz Corporation

2024 Decisions

USDC for the District of Delaware

Research On Smart Energy Consumption Strategy Of Residents Participating In Peak Load Regulation, Jinzhi Wang, Lei Zhao, Fangming Deng, Ziwei Cao, Senlin Zhang, Rui Ma

Journal of Electric Power Science and Technology

Focusing on enabling smart energy consumption for residential users, a smart energy strategy with incentives for residential users to participate in grid peak shaving is proposed. According to the load characteristics of household appliances, residential loads are classified into four categories, and corresponding mathematical models are established. Considering time constraints, electricity satisfaction constraints, and electricity bill satisfaction constraints, an optimization model for residential electricity consumption cost is established. Given that traditional time-of-use electricity pricing is inadequate in motivating residents to participate in grid peak shaving and valley filling, a peak shaving effect evaluation model is established based on cosine similarity, …

Enumerative Induction In Mathematics, Alan Richard Baker

Philosophy Faculty Works

In my 2007 paper, “Is There a Problem of Induction for Mathematics?” I rejected the idea that enumerative induction has force for mathematical claims. My core argument was based on the fact that we are restricted to examining relatively small numbers, so our samples are always biased, and hence they carry no inductive weight. In recent years, I have come to believe that this argument is flawed. In particular, while arithmetical samples are indeed biased, my new view is that this bias actually strengthens the inductive support that accrues from them. The reason is that small numbers typically provide a …

Low-Emission Beef Production In The Southern Rangelands Of Western Australia: An Analysis Of Herd Structure And Stocking Rate Experiencing Droughts, Christophe D'Abbadie

Animal production and livestock research articles

Reconciling profitable cattle production with rangeland health and reduced emissions is a key challenge in the southern rangelands of Western Australia (WA). Stocking rate and herd structure selection are crucial decisions to achieve this balance. This study assessed the emission profiles of three contrasting herd structures (weaner production, live export, and slaughter production), and three stocking rates within a herd–carbon accounting modelling framework. The analysis considers the impact of varying drought frequencies on these cattle production systems. Herd models were developed for the semiarid southern WA rangelands. Stocking rates were set at 100%, 80% and 66% of the government recommended …

The Relationship Between Student Performance On Assigned Mastery Goals And Staar Performance In K-8 Texas School Students, Agamyrat Altyyev

Student Theses and Dissertations

This study investigates the relationship between mastery goal performance and achievement on the State of Texas Assessments of Academic Readiness (STAAR) test. With policies like the Every Student Succeeds Act (ESSA) placing increased importance on standardized-state assessments, schools are making efforts to improve scores, often by focusing heavily on test preparation. However, such conventional methods can restrict teaching in unproductive ways. Mastery goals, based on achievement goal theory, offer a potential alternative, although limited research exists on their impact on testing outcomes. The researcher evaluated a mastery goal intervention for 224 students in grades 3-8 from a Texas school using …

2024 September 10 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

Cover And Contents

Turkish Journal of Mathematics

No abstract provided.

The Heat Kernel On A Finite Graph In Different Time-Scales, Yang Chen, Jay Jorgenson, Luis Lopez, Lejla Smajlovic

Turkish Journal of Mathematics

Let G be a finite, weighted graph, and let [[EQUATION]] be a Time-scale with a fixed point [[EQUATION]] such that sup[[EQUATION]]. In this paper we construct the heat kernel on G in Time-scale [[EQUATION]] in terms of a certain convolution series involving he heat operator acting on a parametrix, which is a fairly general function depending on the vertex set of G and the time variable [[EQUATION]]. We develop some applications by choosing different parametrices and various Time-scales. The results we obtain here do extend, in part, aspects of the recent articles in that the Time-scale considered in this paper …

Φ−Pluriharmonicity And Φ−Invariance Of Pointwise Bislant Riemanniansubmersions, Grayson Light, Cem Sayar, Mehmet Aki̇f Akyol

Turkish Journal of Mathematics

In this research, we investigate the intriguing realm of pointwise bislant Riemannian submersions, a generalizationof many previous submersions, such as antiinvariant, slant, semislant, pointwise slant, pointwise semislant,and bislant submersions, within the framework of almost product manifolds. After giving an original example, wedelve into the submersion’s integrability conditions and geodesics. We explore the concept of φ−pluriharmonicity andφ−invariance within this context. The study sheds light on the profound interplay between pointwise bislant submersions’fibers and their being either geodesic or mixed geodesic, offering valuable insights into these intriguing mappings’geometric properties.

Ideals In Semigroups Of Partial Transformations With Invariant Set, Jitsupa Srisawat, Yanisa Chaiya

Turkish Journal of Mathematics

This paper explores the ideals and their structural properties in two generalizations of the partial transformationsemigroup. Furthermore, principal, maximal, and minimal ideals within these semigroups are elucidated.

Comprehensive Computational Study On Transient Heat Transfer In Functionally Graded Longitudinal Fins Under Time-Varying Laser Heating, Hüseyi̇n Demi̇r, İnci̇ Çi̇li̇ngi̇r Süngü, İbrahi̇m Keleş

Turkish Journal of Mathematics

The present study assumes that the material properties of the fin vary by a force rule in the axial direction, with the exception of the thermal relaxation coefficient, which is assumed to be constant. The temperature distribution in the longitudinal fin with homogeneous cross-section exposed to the laser heat source is numerically investigated. This is because these constraints lead to a linear differential equation with partial solutions that can't be analytically resolved using conventional methods, except for a few elementary order functions. Consequently, a linear or non-linear system of equations as a function of time is obtained by transforming a …