Digital Commons Network^™

Assessing Sediment Migration And Salmonid Habitat Recovery Following A Small Dam Removal And A Flood, Mill Creek, California, Usa, Madeline C. Doyle

Master's Theses

In 2021, the lower Mill Creek Dam (~4 m tall, ~8 m wide) was removed from the Mill Creek-San Vicente Creek watershed (18 km2), located in the Santa Cruz Mountains. Topographic surveys and pebble counts were performed at 27 transects four times between 2021 and 2023 to compare changes in channel characteristics and grain size to document the response to a small dam removal and the transition between drought and flood conditions. The goals of this study were to: (1) describe the movement of impounded sediment; (2) assess the success of habitat restoration for two endangered anadromous fish species: coho …

Face Detection Performance Using Cnns And Bug Bonutyprogram (Bbp), Yasmin Makki Mohialden, Saba Abdulbaqi Salman, Nadia Mahmood Hussien

Iraqi Journal for Computer Science and Mathematics

Bug bounty schemes make use of outside ethical hackers to find and fix a variety of security flaws, guaranteeing quicker and more affordable problem solving. Better confidence in and image of the company in the cybersecurity space, faster solving issues, and increased community collaboration are some of its results. Computer vision relies on face detection, which has several uses. This article uses convolutional neural networks (CNNs) and an error reward algorithm in the facial recognition simulation library to enhance face detection.Trainers trained CNNs to detect faces from other visual components and extract human facial traits, making them powerful facial identification …

Enrichment Of Polycyclic Aromatic Hydrocarbon Metabolizing Microorganisms On The Oral Mucosa Of Tobacco Users, James V. Defrancesco, Lin Tao, M Paul Chiarelli, Sylvia Pavlova, Antonia Kolokythas, Joel Schwartz, Benjamin Salameh, Stefan J. Green, Guy Adami

Chemistry: Faculty Publications and Other Works

Certain soil microbes resist and metabolize polycyclic aromatic hydrocarbons (PAHs). The same is true for a subset of skin microbes. In the human mouth, oral microbes have the potential to oxidize tobacco PAHs, thereby increasing these chemicals' ability to cause cancer of adjacent epithelium. We hypothesized that we could identify, in smokers, the oral mucosal microbes that can metabolize PAH. We isolated bacteria and fungi that survived long-term in minimal media with PAHs as the sole carbon source, under aerobic conditions, from the oral mucosa in 17 of 26 smokers and two of 14 nonsmokers. Of bacteria genera that survived …

Essential Fluids With Matlab And Octave - Part 1 (Theory), Panchapakesan Venkataraman

Open Access Books by RIT Staff and Faculty

This book covers the requisite theory for the basic study of fluid mechanics at low speeds. This book is unique in that it integrates engineering computation using the popular technical software MATLAB, and the free counterpart Octave. Programming is by example throughout the book. Prior knowledge of programming is not necessary. This book reviews prerequisite topics prior to teaching the subject matter. This book introduces the physics of fluid mechanics based on first principles. It develops the mathematical relations and model of fluid flow so that problems can be defined and solved.

Integrating Intelligent Systems In Manet-Iot Environment Based On Subjective Context, Qahtan M. Yas, Abdulbasi Alazzawi

Iraqi Journal for Computer Science and Mathematics

The Internet of Things (IoT) has cultivated a promising environment, pivotal across diverse sectors via MANET protocols within the w.w.w. This technology significantly contributes to advanced services for mobile devices in the MANET-IoT domain. However, MANET encounters security challenges, notably malicious attacks as a prime concern. To counter these threats, preventive measures like subjective-context evaluation and node protection are employed, ensuring data packet integrity before delivery. This study aims to enhance the performance of a novel reactive protocol, integrated with a fuzzy system within the MANET-IoT environment. The methodology is implemented in two directions: 1) Establishing a secure network founded …

Parametersestimation Of A Proposed Non-Homogeneous Poisson Process And Estimation Of The Reliability Function Using The Gompertz Process: A Comparative Analysis Of Artificially Intelligent And Traditional Methods, Adel Sufyan Hussain, Yaseen Adel Oraibi, Muthanna Subhi Sulaiman, Ahmed Sami Abdulghafour

Iraqi Journal for Computer Science and Mathematics

This work presents a novel approach to enhancing the rate of occurrence of non-homogeneous Poisson processes (NHPP) by utilizing the Gompertz distribution as the rate of occurrence. The primary objective of this study is to determine the parametersof the new process using both traditional methods andintelligent technology, specifically particleswarm optimization (PSO). Additionally, the study aims to estimate the reliability function ofthe process. The suggested model is simulatedto achieve these goals, and theresults are compared among various estimation techniques to identify the most accurate estimator. The study demonstrates that when predicting the time rate of occurrence oftheproposed Gompertz process and its …

Real-Timelie-Speech Determination Using Voice-Stress Technology, Fadi K. Al-Dhaher, Duraid Y. Mohammed, Mohammed Khalaf, Khamis A. Al-Karawi, Mohammad Sarfraz, Muhammad Mazin Al Maathidi

Iraqi Journal for Computer Science and Mathematics

Lie detection has gained importance and is now extremely significant in a variety of fields. It plays an important role in several domains, including law enforcement, criminal investigations, national security,workplace ethics, and personal relationships. As advances in lie detection continue to develop, real-time approaches such asvoice stress technology have emerged as a feasible alternative to traditional methods such as polygraph testing. Polygraph testing, ahistorical and generally established approach, may be enhanced or replaced bythese revolutionary real-time techniques. Traditional lie detection procedures, such aspolygraph testing, have been challenged for their lack of reliability and validity. Newertechniques, such as brain imaging and …

Constant-Stress Partially Accelerated Life Testing For Weibull Inverted Exponential Distribution With Censored Data, Samah M. Ahmed

Iraqi Journal for Computer Science and Mathematics

The novelty of this article is estimating the parameters ofWeibull inverted exponential (WIE) distribution with a constant stress partially accelerated life test (PALT) under adaptive type-II progressively censored samples. Moreover, the maximum likelihood estimators (MLEs), their asymptotic variances confidence intervals, and Bayes estimators (BEs) of the model parameters and the acceleration factor are obtained. Furthermore, the approximate bootstrap and credible confidence intervals of the estimators are acquired. The accuracy of the MLEs and BEs for the model parameters and the acceleration factor is investigated through the simulation studies.

Experimental Research On Contests, Subhashish M. Chowdhury, Dan Kovenock, Anwesha Mukherjee

ESI Working Papers

Contests are situations in which agents compete by irreversibly expending costly resources in an attempt to win a prize. Due to their applications in conflict, rent-seeking, organizational incentives, sports, litigation, and political campaigns, contests are widely applied in the social sciences. In this survey we summarize some main results and recent developments of experimental studies in contest theory. We also point out their broader applications in the social sciences.

A Decade Of Success, Editorial Board

Spora: A Journal of Biomathematics

With due thanks to the Intercollegiate Biomathematics Alliance for their unending support, Spora is offering once again another highly respected platform for collaborative research in mathematics, biology, and related fields. Spora's role in disseminating work especially accessible to students makes it a unique platform to expand the body of knowledge in mathematical biology. Spora welcomes submissions related to Ph.D. dissertations, master's theses, and undergraduate research projects as well as original research.

Defender Athletics Claim Trophy And Much More, Sarah Moss

The Voice

No abstract provided.

Utilizing Culturally Responsive Strategies To Inspire African American Female Participation In Cybersecurity, Deanna Bailey, Michel Kornegay, Ladawn Partlow, Charnee Bowens, Karen Gareis, Kevin Kornegay

Journal of Pre-College Engineering Education Research (J-PEER)

The number of African American females participating in cyber fields is significantly low. Science, technology, engineering, and mathematics (STEM) education requires a new approach to student engagement to increase African American female participation in cybersecurity. The most common approach to engaging more African American females in STEM is to provide students access to professional images or role models active in STEM; however, more is needed. More race-centered strategies beyond role modeling are necessary to attract and retain African American females in STEM. Research studies show that integrating personal experiences and making cultural connections can help improve student participation in STEM …

Differentially Private Speech Collection And Recognition, Hp Inc

Defensive Publications Series

Commands contained in a person's speech can be detected while preserving the privacy of the speaker by applying differential noise to the original time domain speech in the frequency domain.

On Water Arrangements In Right- And Left-Handed Dna Structures, Liliya A. Yatsunyk, S. Neidle

Chemistry & Biochemistry Faculty Works

DNA requires hydration to maintain its structural integrity. Crystallographic analyses have enabled patterns of water arrangements to be visualized. We survey these water motifs in this review, focusing on left- and right-handed duplex and quadruplex DNAs, together with the i-motif. Common patterns of linear spines of water organization in grooves have been identified and are widely prevalent in right-handed duplexes and quadruplexes. By contrast, a left-handed quadruplex has a distinctive wheel of hydration populating the almost completely circular single groove in this structure.

Bitcoin Bubbles And A Monetary Measure Of Fundamental Value, Paul Hallwood

Pennsylvania Economic Review

Several papers estimate the time series properties of bitcoin prices. However, to know that bubbles occur, an estimate of fundamental value is needed. Few estimates of bitcoin’s fundamental price exist, and these are either statistical in nature or based on questionable economic theory. This paper calculates the non-bubble dollar price of bitcoin using a modification to the quantity theory of money, and it is estimated to be about $54.00. At the November 2021 peak market price of bitcoin, the bubble component was more than 99%. Even at end-August 2023 after bitcoin prices had more than halved, the bubble component was …

Inpatient Costs Of Treating Patients With Covid-19, Kandice A Kapinos, Richard M Peters, Robert E Murphy, Samuel F Hohmann, Ankita Podichetty, Raymond S Greenberg

Faculty, Staff and Student Publications

IMPORTANCE: With more than 6.2 million hospitalizations due to COVID-19 in the US, recognition of the average hospital costs to provide inpatient care during the pandemic is necessary to understanding the national medical resource use and improving public health readiness and related policies.

OBJECTIVE: To examine the mean cost to provide inpatient care to treat COVID-19 and how it varied through the pandemic waves and by important sociodemographic patient characteristics.

DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study used inpatient-level data from March 1, 2020, to March 31, 2022, extracted from a repository of clinical, administrative, and financial information covering 97% …

Enhancing The Zebra Optimization Algorithm With Chaotic Sinusoidal Map For Versatile Optimization, D Anand, Osamah Ibrahim Khalaf, G Rajesh Chandra

Iraqi Journal for Computer Science and Mathematics

In this study, the Chaotic Sinusoidal Map (CSM)-enhanced Zebra Optimization Algorithm (CZOA) is introduced. CZOA combines CSM's integration strengths with ZOA's optimization skills. ZOA already exhibits great optimization capabilities, but the addition of CSM increases its potential even more. This addition greatly strengthens ZOA's exploration and exploitation skills and increases its flexibility for various optimization tasks. CZOA outperforms both the original ZOA and contemporary optimisation methods on23 benchmark functions, including high-dimensional (FD), multimodal (MM), and unimodal (UM) challenges. Using the chaos of CSM to investigate regional optimal and determine better convergence and exploration-exploitation equilibrium are shown by CZOA, which also …

A Novel Method For Hill Cipher Encryption And Decryption Using Gaussian Integers Implemented Inbanking Systems, Saba Abdulbaqi Salman, Yasmin Makki Mohialden, Abbas Abdulhameed, Nadia Mahmood Hussien

Iraqi Journal for Computer Science and Mathematics

Cryptographic tools like Hill's encryption algorithm protect digital data. In this work, we present a novel Hill cipher security method that utilizes Gaussian integers from number theory. Using these intriguing mathematical entities to disguise plaintext values dramatically boosts assault resistance and duration.This research includes a three-pass protocol for encryption and decryption without key exchange, ensuring a safe, efficient, and dependable solution. Pandas is used for efficient data processing, and Numpy for computational tasks, notablymatrices.Hill cipher-based encryption and decryption can be utilized in real life. It also demonstrates how to save Pandas DataFrame data to Excel. This strategy assures progress in …

An Automated Prostate-Cancer Prediction System (Apps) Based On Advanced Dfo-Conga2l Model Using Mri Imaging Technique, E Sathesh Abraham Leo, K Nattar Kannan

Iraqi Journal for Computer Science and Mathematics

The prostate cancer is a deadly form of cancer that assassinates a significant number ofmen due of its mediocre identification process. Images from people with cancer include important and intricate details that are difficult for conventional diagnostic methods to extract.This work establishes a novel Automated Prostate-cancer Prediction System (APPS) model for the goal of detecting and classifying prostate cancer utilizing MRI imaging sequences. The supplied medical image is normalized using aCoherence Diffusion Filtering (CDFilter) approach for improved quality and contrast. The appropriate properties are also extracted from the normalized image using the morphological and texture feature extraction approach, which helps …

Detecting Arabic Misinformation Using An Attention Mechanism-Based Model, Bashar M. Nema, Mohammed Haqqi Al-Tai

Iraqi Journal for Computer Science and Mathematics

The proliferation of fake news or misinformation, commonly referred to as fake news, has a significant effect on a global scale, as it is aimed at influencing public opinion as well as crowd decision-making. It istherefore crucial to verifythe truthfulness of news before it is released to the public. Today, most studies on early detection of Arabic misinformation rely on machine learning methods and transformer-based models. Therefore, in the current study, we used deep learning techniques to propose a model for detecting Arabic misinformation by leveraging the contextual features of news article content. The proposed model was built based on …

Methods For Achieving A Target Joint Preload, Daniel P. Hess

USF Patents

A method for achieving a target joint preload includes identifying a thread pitch of a first fastener element used to secure two components together. The first fastener element is passed through the two components and a second fastener element is threaded onto the first fastener element. A tightening torque is applied to the second fastener element, which is measured as the trial tightening torque. A loosening torque is applied to the second fastener element, which is measured as the trial removal torque. A required tightening torque that is required to be applied to the second fastener element to achieve the …

Offline Handwritten Signature Identification Based On Hybrid Features And Proposed Deep Model, Zainab Hashim, Hanaa Mohsin, Ahmed Alkhayyat

Iraqi Journal for Computer Science and Mathematics

Handwritten signature identification is the process of determining an individual’strue identity by analyzing their signature. This is an important task in various applications such as financial transactions, legal documentverification, and biometric systems. However, verifying handwritten signatures is challenging even in the age of digital transactions and remote document authentication. The inherent variety in people’s signatures, which may occurdue to factors such as mood, exhaustion, or even the writing tool used, contributes to the problem. Furthermore, the proliferation of sophisticated forgery methods, such as freehand mimicking and sophisticated picture manipulation, necessitates the development of reliable and precise tools for identifying authentic …

Attochemistry Regulation Of Charge Migration, Aderonke Folorunso

LSU Doctoral Dissertations

Charge migration (CM) is a coherent attosecond process that involves the movement of localized holes across a molecule. This phenomenon is potentially useful to understand the fundamental principles of photochemistry, such as light harvesting. The first part of this dissertation discusses the molecular modes of attosecond charge migration. In this work, we used first-principles calculations to investigate the modes of charge migration (CM) in halogenated hydrocarbon chains at attosecond timescales. We have simulated the creation of a localized hole on the halogen atom using constrained density functional theory (DFT) and then tracked its subsequent dynamics with time-dependent DFT (TDDFT). Our …

Robust 6d Fluorescence Microscopy, Jasmine Cheng

Electrical and Systems Engineering Undergraduate Student Research

Single-Molecule Orientation Localization Microscopy (SMOLM) measures the positions and orientations of single fluorophores precisely, approaching fundamental classical and quantum limits. However, a disadvantage of SMOLM is the time-consuming nature of its acquisition and reconstruction processes. In my thesis, I introduce an innovative framework that simplifies the detection and estimation algorithms used in SMOLM into a computationally efficient high-dimensional deconvolution algorithm. This framework extracts six-dimensional information of continuous biological structures from just a single camera image (i.e., a single shot). While this method is diffraction limited, unlike conventional SMOLM algorithms, it nevertheless offers accurate and precise estimations of the orientations of …

Estimating The Cholesterol Affinity Of Integral Membrane Proteins From Experimental Data, Theodore L. Steck, S. M. Ali Tabei, Yvonne Lange

Faculty Publications

The cholesterol affinities of many integral plasma membrane proteins have been estimated by molecular computation. However, these values lack experimental confirmation. We therefore developed a simple mathematical model to extract sterol affinity constants and stoichiometries from published isotherms for the dependence of the activity of such proteins on the membrane cholesterol concentration. The binding curves for these proteins are sigmoidal, with strongly lagged thresholds attributable to competition for the cholesterol by bilayer phospholipids. The model provided isotherms that matched the experimental data using published values for the sterol association constants and stoichiometries of the phospholipids. Three oligomeric transporters were found …

A Review Of Machine Learning Techniques Utilised In Self-Driving Cars, Zahraa Salah Dhaif, Nidhal K. El Abbadi

Iraqi Journal for Computer Science and Mathematics

Science and technology researchers are currently focused on the creationof self-driving cars. This can havea profound effect on social and economic progress;self-driving vehicles can help reduce auto accidents dramatically and enhance the quality of life of people the world over. Self-driving cars have had a tremendous increase in popularity in the recent past because of artificial intelligence development. However, there is a lot of research work to be done to manufacture fully-automated cars becausea self-driving carshas tto be able to sense its environment and operate without human involvement. A human passenger is not required to take control of the vehicle …

Multi-Strategy Fusion Forenhancinglocalization In Wireless Sensor Networks (Wsns), Mahdi Abed Salman, Muhammed Abaid Mahdi

Iraqi Journal for Computer Science and Mathematics

Localization in wireless sensor networks (WSNs) plays a crucial role in various applications that rely on spatial information. This paper introduces the Multi-Strategy Fusion for Localization model, which integrates optimization techniques (ABO, DSA, EHO, and KNN) and neurocomputing techniques (BP, MTLSTM, BILSTM, and Autoencoder) to enhance localization accuracy in WSNs. The work is divided into three phases: data collection, model building, and implementation. The first and the last are carriedoutin the field,while the second is made in the laboratory. The three phases involve a few general steps.The (1) Data Collection Phase includesfour steps:(a) Deploy three anchors at known locations,forming an …

Early Detection Of Cardiovascular Disease Utilizing Machine Learning Techniques: Evaluating The Predictive Capabilities Of Seven Algorithms, Maad M. Mijwil, Alaa K. Faieq, Mohammad Aljanabi

Iraqi Journal for Computer Science and Mathematics

Heart disease is the leading cause of death indeveloped countries, as it causes many deaths annually. Despite the availability of effective treatments, heartdisease remains a significant challenge to public health, so early detection is essential in enhancing patient outcomesand reducing mortality.Artificial intelligence seeks to help physicians make the right decisions about a patient's health condition. In this regard, the authors decided to utilize machine learning techniques (k-nearest neighbor, decision tree, linear regression, support vector machine, naïve bayes, multilayer perceptron, random forest) to contribute to the classification of the heart disease dataset, where it is determined whether a person is suffering …

The Optimal Scaling Factor Based On Secantmethod For Imagewatermarkingusing The Hybrid Dtcwt-Dct Domain, Mohamed Lebcir, Suryanti Awang, Ali Benziane

Iraqi Journal for Computer Science and Mathematics

This paper proposes an implementation of the secant optimization method on the watermark embedding in DTCWTdomain. An objective function combining PSNR and NC (The Normalized Correlation) values calculated for a set of common attacks is used in the optimization process. The aim is to enhance the trade-off between robustness and imperceptibility against the various image processing attacks via an automatic and careful selectionof the scalingfactor using optimization. The watermark is inserted in the high energy bands ofDCT-transformed sub-vectors, which were generated from the DTCWT coefficient decomposition of the host image. Experimental results performed on a set of 512×512 greyscale images, …

Illinois State University Salaries Fy2024, Illinois State University

Illinois State University Salaries

Includes two sections: administrative professional and civil service salaries, and non-tenure track, tenure track, and faculty associate salaries.