Digital Commons Network^™

Intelligent Feature Selection Methods: A Survey, Noor Jameel, Hasanen S. Abdullah

Engineering and Technology Journal

Consider feature selection is the main in intelligent algorithms and machine learning to select the subset of data to help acquire the optimal solution. Feature selection used an extract the relevance of the data and discarding the irrelevance of the data with increment fast to select it and to reduce the dimensional of dataset. In the past, it used traditional methods, but these methods are slow of fast and accuracy. In modern times, however, it uses the intelligent methods, Genetic algorithm and swarm optimization methods Ant colony, Bees colony, Cuckoo search, Particle optimization, fish algorithm, cat algorithm, Genetic algorithm ...etc. …

Using Texture Feature In Fruit Classification, Mauj H. Abd Al Karim, Abdulamir A. Karim

Engineering and Technology Journal

Recent advances in computer vision have allowed wide-ranging applications in every area of life. One such area of application is the classification of fresh products, but the classification of fruits and vegetables has proven to be a complex problem and needs further development. In recent years, various machine learning techniques have been exploited with many methods of describing the different features of fruit and vegetable classification in many real-life applications. Classification of fruits and vegetables presents significant challenges due to similarities between layers and irregular characteristics within the class.Hence , in this work, three feature extractor/ descriptor which are local …

Eye Diseases Classification Using Back Propagation Artificial Neural Network, Hanaa M. Ahmed, Shrooq R. Hameed

Engineering and Technology Journal

A human eye is a vital organ responsible for a person's vision. So, the early detection of eye diseases is essential. The objective of this paper deals with diagnosing of seven different external eye diseases that can be recognized by a human eye. These diseases cause problems either in eye pupil, in sclera of eye or in both or in eyelid. Color histogram and texture features extraction techniques with classification technique are used to achieve the goal of diagnosing external eye diseases. Hue Min Max Diff (HMMD) color space is used to extract color histogram and texture features which were …

Treatment Of Iraqi Municipal Wastewater By Up-Flow Anaerobic Sludge Blanket Reactor Uasb, Khairi R. Kalash, Majid A. Dixon, Hussein Ir. Sultan, Raad A. Ali

Engineering and Technology Journal

In this work, the Upflow Anaerobic Sludge Blanket “UASB” reactor treated effluent wastewater to investigate the process performance on a pilot plant scale. Municipal wastewater at high and medium strength with different organic load rate OLR (0.6-9) kg COD m-3day-1 with the flow of 20 l/h, up-flow velocity 0.4 m/h, hydraulic retention time HRT 9 h at a temperature of (20-30 ºC) was evaluated. The wastewater concentration, including TSS, COD was measured, and the removal efficiencies of chemical oxygen demand (COD) and total suspended solid TSS were calculated and summarized as 45-85% and 70-75%, respectively, depending on organic load rate …

Effect Of Pulse Electric Field On Water Characteristics As A Disinfection Function In Filtration Unit, Ghassan Abukhanafer, Alaa H. Al-Fatlawi, Hassan H. Joni

Engineering and Technology Journal

This paper studied the impact of the addition of pulse electric-filed low voltage (PEF-LV) in the filtration process by designing, constructing, and operating a pilot-scale. The Disinfectant process (DP) demonstrated several benefits in terms of efficiency and ease of application, without the use of any chemical additive. This system contains two pairs of silver mesh electrodes inside the filtration column test with a low pulse voltage for killing microorganisms. The parametric effects of DP performance, such as alternating current pulse frequency and the voltage applied were investigated. The effect of PEF-LV on the biological, physical, and chemical characteristic of water …

Evaluation Of The Hydrodynamic Pressure Effect Of Cylindrical Liquid Storage Tank On The Granular Soil Behavior Under Seismic Excitation, Ahmed A. Hussein, Mohammed A. Al-Neami, Falah H. Rahil

Engineering and Technology Journal

Many liquid storage tanks around the world have been affected by earthquakes, and the seismic analysis of such tanks is much more complicated due to the Fluid-Structure Interaction. Besides, when the soil properties are taken into the consideration, the analysis with the Fluid-Soil-Structure Interaction becomes very complicated. In this paper, a series of shaking table tests are conducted on a model of the cylindrical water tank rested on dry granular soil and the equivalent load is considered to study the effect of hydrodynamic pressure generated in the storage water tank on the soil behavior. An experimental investigation of (1:100) scale …

Attention-Based Ensemble Deep Learning Model For Arabic And English Fake News Classification, Ameer Alhaq Alshamery

Journal of Intelligent Informatics, Networking, and Cybersecurity

It is difficult to classify articles as fake news since one article may consist of true facts with only some statements being fake. Moreover, classification becomes complicated for the Arabic language owing to its morphology and several ways of spelling, as well as the lack of well-classified and marked data sets. This paper presents an Ensemble Deep Learning Model (EDLM) used for Arabic and English fake news classification. The EDLM consists of CNN, Bi-LSTM with attention, and Bi-GRU with attention networks. Each of them produces one probability of the article, which is then summed up to a final probability via …

Novel Dynamic Batch-Sensitive Adam Optimiser For Vehicular Accident Injury Severity Prediction, Daniel Asare Kyei, Alimatu Saadia-Yussiff, Maame G. Asante-Mensah, Abdul Lateef-Yussiff, Charles Roland Haruna, Derry Emmanuel

Iraqi Journal for Computer Science and Mathematics

The choice of optimiser is important in deep learning, as it strongly influences model efficiency and speed of convergence. However, many commonly used optimisers encounter difficulties when applied to imbalanced and sequential datasets, limiting their ability to capture patterns of minority classes. In this study, we propose Dynamic Batch-Sensitive Adam (DBS-Adam), an optimiser that dynamically scales the learning rate using a batch difficulty score derived from exponential moving averages of gradient norms and batch loss. DBS-Adam improves training stability and accelerates convergence by increasing updates for difficult batches and reducing them for easier ones. We evaluate DBS-Adam by integrating it …

System And Method For Available Cognitive Headroom Scoring And Predictive Task Orchestration In Multi-Agent Ai Systems, Ram Mohan R, Annu Rani Mahto, Anis Edavalath, Aparna Raj K, Sridhar D

Defensive Publications Series

Traditional load-balancing techniques for multi-agent artificial intelligence (AI) systems are insufficient because they rely on infrastructure metrics rather than an agent's actual reasoning capacity. Proposed herein is a mechanism that addresses this gap by introducing an Available Cognitive Headroom (ACH) score, which enables predictive, capacity-aware routing that ensures agents are not cognitively overloaded before tasks are dispatched.

Implications Of Similarities And Differences Amongst Media Literacy Skills And Trust Across Communities Of Color, Erica Weintraub Austin, Nadia Ishrat Alamgir, Alexandra Elenitsa Fil, Sultana Ismet Jerin, Di Mu, Albert Junior Nyarko, Folake Racheal Okor, Pearl Omolara Oladele, Hae Yeon Seo, Andrew D. Sutherland

Journal of Media Literacy Education Pre-Prints

A 2020 survey of U.S. adults found that nonwhite respondents tended to report lower levels of media literacy than white respondents. However, their media literacy skills were associated with better COVID-19 knowledge and less acceptance of COVID-19 disinformation. This secondary analysis of the dataset (N=1264) explored how aspects of media literacy and media trust varied across communities of color. No significant differences in online information efficacy were found. White respondents scored higher than Hispanic/Latiné and Native American/Indigenous respondents on media literacy for source, and higher than Black and Hispanic/Latiné respondents on media literacy for content. White respondents also …

Imposter Syndrome And Self Determination In Clinical Social Work Supervision, Alexis Tarr

Walden Dissertations and Doctoral Studies

This doctoral project is focused on the social work practice problem of limited understanding of how social workers experience clinical supervision in the context of imposter syndrome. Imposter syndrome can affect confidence, decision making, and overall wellbeing, making it an important issue in clinical social work practice. The purpose of this study was to explore how social workers describe and make meaning of their supervision experiences involving feelings of imposter syndrome. Guiding practice-focused research questions were used to examine how social workers experienced clinical supervision and described autonomy, competence, and relatedness. This study was informed by the self-determination theory, which …

Discursive Consciousness And Pedagogical Reasoning Within Teacher Collaborative Inquiry In Rural Mexico, Nelly Yllen Charles Martinez

Theses and Dissertations

This study examines teacher collaborative learning within Matemáticas Equitativas (MATEQ), a school-based professional learning model designed to support equitable mathematics instruction through collaborative inquiry and peer observation. Drawing on Anthony Giddens' structure-agency theory, this research adopts an interpretive qualitative case study with discourse-oriented analysis to examine teachers' pedagogical reasoning by looking at manifestations of discursive consciousness--defined as the capacity to articulate and rationalize one's actions in discourse--during collaborative meetings. Findings show that both the interactional structures and collaborative resources embedded in MATEQ--in particular peer facilitated uses of observation rubrics--mediated teachers' discursive consciousness, strengthening the pedagogical reasoning shared within collaborative inquiry. …

Selective Factors Impacting Charter High School Enrollment, Nathan Marshall

Theses and Dissertations

This study examined factors influencing high school choice among Utah families, comparing parent priorities between charter and traditional public high schools. Using one-way ANOVA with Tukey honestly significant difference (HSD) post hoc comparisons, parental priorities were analyzed across personal, school community, and academic factors. Parents choosing traditional public high schools rated personal and school community factors significantly higher, emphasizing relationships and school climate, while charter high school parents rated academic factors significantly higher, favoring rigor and instructional quality. Charter parents' priorities were not uniform, however, but varied significantly by school model, suggesting that the charter-versus-traditional divide masks meaningful differences within …

Environmental Exposure Risk Education To Enhance Chronic Kidney Disease Prevention And Screening For Nurse Practitioners, Kelsea J. Carrier

Doctor of Nursing Practice Posters and Presentations

Chronic kidney disease (CKD) affects approximately 36 million adults in the United States, with nearly 90% of individuals unaware of their diagnosis until advanced stages. While diabetes and hypertension remain the primary causes, increasing evidence highlights environmental exposures as significant and underrecognized contributors to CKD onset and progression. Exposures such as heavy metals, per- and polyfluoroalkyl substances (PFAS), air and water pollution, microplastics, and heat exposure have been linked to impaired renal function. Despite this growing body of evidence, environmental health content remains limited in nursing education, resulting in gaps in environmental health literacy (EHL) among nurse practitioners (NPs) and …

Environmental Exposure Risk Education To Enhance Chronic Kidney Disease Prevention And Screening For Nurse Practitioners, Kelsea J. Carrier

Doctor of Nursing Practice Scholarly Projects

Chronic kidney disease (CKD) affects approximately 36 million adults in the United States, with nearly 90% of individuals unaware of their diagnosis until advanced stages. While diabetes and hypertension remain the primary causes, increasing evidence highlights environmental exposures as significant and underrecognized contributors to CKD onset and progression. Exposures such as heavy metals, per- and polyfluoroalkyl substances (PFAS), air and water pollution, microplastics, and heat exposure have been linked to impaired renal function. Despite this growing body of evidence, environmental health content remains limited in nursing education, resulting in gaps in environmental health literacy (EHL) among nurse practitioners (NPs) and …

Unplanned Public Nature Interiority, Kendra Locklear Ordia

Interiority

This paper advances a theory of urban interiority through the concept of public nature interiority, integrating ecological thinking into the spatial, sensory, and temporal conditions of exterior spaces that feel interior. Drawing on works by Tine Poot, Richard Sennett, Liz Teston, and Suzie Attiwill, it challenges binary distinctions between interior and exterior, emphasising relational and dynamic urban conditions. Using Attiwill's notions of collective individuation and an ecology of subjectivity, interiority is reframed as being shaped not only by human perception and experience with nature but also by biotic relations and multispecies interactions. The theory is situated within terrain vague—indeterminate, overlooked …

Villa Verde As A Quasi-Object: The Renegotiation Of Spatial Boundaries And Interiority, Tugba Cestel, Senem Kaymaz

Interiority

An architectural object interacts with its user through its functional and formal qualities. However, when stripped of these attributes, it discloses the potential to transform the phenomenal system it inhabits alongside the subject. Drawing on Martin Heidegger’s hammer analysis and Bruno Latour’s Actor-Network Theory, this study explores the relationship between a user and an architectural object that lacks a predefined form or function. It examines how the subject’s intervention can reconfigure such an object into a quasi-object. This relationship establishes a conceptual bridge that can be read through both phenomenological and relational frameworks. In this domain, where spatial boundaries and …

Meanwhile Interiors, Interiority And Becoming Exterior, Cathy Smith

Interiority

This paper explores the resonances between stakeholder conceptions of 'meanwhile' or transient urban interiors and the notion of interiority as a mobile construct intertwined with wider social and material forces. The focus is on the positioning of these interiors in relation to broader community and neighbourhood agendas, invoking what Jill Stoner describes as a becoming exterior. Although the so-called 'meanwhile use' of vacant or sub-market-condition buildings is an increasingly common tool for activating and managing underused property assets in global cities, much of the existing discourse focuses on policy and placemaking implications rather than design dimensions. Drawing on interviews with …

Bridging Intelligent Optimization And Knowledge-Based Planning: A Retrospective Evaluation Of Ioe And Rapidplan Models For Ethos Lung Adaptive Radiotherapy, Anna Katherine Robbins

Masters Projects

Adaptive radiotherapy (ART) and knowledge-based planning (KBP) have independently improved treatment planning quality and efficiency; however, limited evidence exists regarding their combined use within the Varian Ethos planning system. This retrospective study evaluated whether an institution-specific Ethos-trained RapidPlan model improved dosimetric plan quality compared with Intelligent Optimization Engine (IOE) optimization alone and a publicly available Eclipse-trained RapidPlan model for right-sided non-small cell lung cancer. Ten patients previously treated with adaptive radiotherapy were replanned using three planning approaches: IOE optimization alone, IOE with a generic RapidPlan model, and IOE with an institutional Ethos-trained RapidPlan model. Target coverage, homogeneity, and organ-at-risk (OAR) …

Investigating Tumor-Stromal Interactions That Drive Breast Cancer Angiogenesis And Metastasis, Alessandra Dimauro

Arts & Sciences Graduate Student Theses and Dissertations

Metastatic breast cancer remains one of the most difficult cancers to treat, with a five-year survival rate that drops from 99% for localized disease to just 33% once distant metastases are present. This disparity reflects a fundamental gap in our understanding of how breast tumors spread and highlights the urgent need to improve our understanding of breast cancer metastasis to aid in development of novel therapeutics. Emerging evidence establishes that metastasis requires interactions between tumor cells and non-tumor stromal cells within the tumor microenvironment. The first aim of this dissertation investigates the role of Discoidin Domain Receptor 2 (DDR2), a …

Tva Gift Helps Restore Ole Miss Tree Canopy, Bill Dabney

University of Mississippi News

OXFORD, Miss. – The Tennessee Valley Authority donated $50,000 to the University of Mississippi to help restore the campus tree canopy after the devastation caused by winter storm "Fern," reflecting TVA's commitment to environmental stewardship, community resilience and the long-term health of natural resources across the region.

Spae: Deciphering Cell Cycle Dynamics And Cell States In Single-Cell Rna-Seq Data, Jiahao Yi, Jiajia Liu, Peng Guo, Yuan-Nong Ye, Xiaobo Zhou

Faculty, Staff and Student Publications

Rapid advances in single-cell RNA sequencing (scRNA-seq) technology have enabled the investigation of gene expression changes at the single-cell level, particularly for elucidating the heterogeneity among cells and complex biological processes. This technique reveals subtle molecular differences within individual cells, thereby offering a unique viewpoint for the investigation of cell cycle progression, cellular differentiation, and disease pathogenesis. However, accurately identifying and analyzing cell cycle dynamics in scRNA-seq data remains challenging due to the complexity of the data and the subtle differences between cell states. To address this challenge, we developed the integrated Sinusoidal and Piecewise AutoEncoder (SPAE), an autoencoder-based piecewise …

Financial Health And Wealth In The Mountain West, 2019 - 2022, Sean Curry, Caitlin J. Saladino, William E. Brown Jr.

Economic Development & Workforce

This fact sheet presents data on three indicators of household financial health in the five Mountain West states of Arizona, Colorado, Nevada, New Mexico, and Utah between 2019 and 2022. The Urban Institute’s Financial Health and Wealth Dashboard includes data on emergency savings, median household net worth, and workplace retirement plan access. This fact sheet focuses on statewide data on the Mountain West states, comparing data snapshots in 2019 to 2022.

Modeling Nonequilibrium Community Dynamics Of Bivalves In The Indian River Lagoon, Jada Lee Brown

Electronic Theses and Dissertations

Benthic infaunal communities are widely-used indicators for assessing estuarine health, especially in systems that experience frequent disturbances and hydrological fluctuations. However, using benthic infauna to predict ecosystem responses to future disturbances remains a challenge. The Indian River Lagoon (IRL), spanning 40% of Florida's east coast, is a prime example of a complex estuary that has experienced decades of hydrological alterations leading to reduced water quality, sediment composition, and biodiversity. To assess benthic bivalve community dynamics in response to disturbances, an emerging Empirical Dynamic Modeling (EDM) approach was applied to a large test dataset comprising 17 years of benthic bivalve abundances …

A Data-Driven Framework For Mitigating Breast Cancer Overdiagnosis: From Estimation To Risk-Adjusted Computer-Aided Diagnosis, William M. Brown Jr.

LSU Doctoral Dissertations

In Computer-Aided Diagnosis (CAD) of cancer, standard cost metrics (false-positives and false-negatives) fundamentally fail to account for overdiagnosis. Overdiagnosis is a critical scenario where a disease is correctly detected (true-positive) but is biologically indolent and would never have caused the patient harm or symptoms. While widely recognized in the medical community as a major healthcare crisis driving stressful and invasive overtreatment, overdiagnosis remains severely under-researched within computer science and engineering. This dissertation addresses this interdisciplinary gap by defining the three key computational challenges of overdiagnosis: (i) accurate estimation, (ii) harm quantification, and (iii) algorithmic mitigation. To overcome the estimation challenge, …

Predictive Modeling Of Readmission, Mortality, And Resource Utilization After Surgical And Transcatheter Aortic Valve Replacement, Raymond J. Martin

LSU Master's Theses

Aortic stenosis is the most prevalent valvular heart disease in North America. Its definitive treatments—surgical aortic valve replacement (SAVR) and transcatheter aortic valve replacement (TAVR)—carry a substantial burden of unplanned hospital readmission, which worsens patient outcomes, strains hospital capacity, and creates financial risk under value-based payment programs. Prior predictive work has largely focused on binary classification of 30-day readmission after TAVR. Such studies typically report predictor effects as odds or hazard ratios without validating patient-level probabilities, and neglect both the timing of readmission and the resources it consumes. To address these gaps, this thesis develops and empirically validates a unified, …

Acute Opioid Responses Are Modulated By Dynamic Interactions Of Oprm1 And Fgf12, Paige M Lemen, Alexander S Hatoum, Arpana Agrawal, Et Al.

2020-Current year OA Pubs

We generated time-series data for 105 morphine- and naloxone-related traits across ~700 BXD mice (64 diverse strains for both sexes) for 3 hr after a single morphine injection. Variations in responses were mapped using genome sequencing-based genotypes. The locomotor responses to morphine mapped to the µ opioid receptor gene (

Depressive Symptoms By The Quality Of Life Among Korean American Midlife Women, Yeeun Kim, Jiwon Baek, Dongmi Kim, Seulgi Ryu, Wonshik Chee, Eun-Ok Im

International Nursing Research Congress (INRC)

Background: Midlife women experience a major developmental transition involving multidimensional changes (physical, psychological, and social changes), before, during, and after their menopause (1-4). During this transition, the women’s depressive symptoms could be linked to their quality of life (5). However, few studies have been conducted on the women’s depressive symptoms by their quality of life. The aim of this study was to identify patterns of depressive symptoms by the QoL among Korean American midlife women and provide directions for future interventions for this specific population.

Methods: This is a part of an ongoing randomized controlled trial of Korean American midlife …

Effects Of Family-Based Frailty Self-Management Program On Caregivers Of Patients With Heart Failure, Yung-Ching Yang, Ai-Fu Chiou

International Nursing Research Congress (INRC)

Background: Family caregivers of patients with heart failure often experience decreased confidence in caregiving due to limited heart failure knowledge, the complexity of patient's condition and treatment, and insufficient social or professional support. These challenges can adversely affect caregivers' quality of life.

Objective: The study examined the effects of a family-based frailty self-management program (FRAIL-SM) on knowledge, self-care confidence, strain, and quality of life among family caregivers of patients with heart failure.

Methods: A randomized controlled trial was conducted with 116 pairs of frail patients with heart failure and their family caregivers recruited from two medical centers in Taiwan. Participants …

Lived Experiences Of Noise Exposure And Hearing Loss Among Native Americans, Melessa N. Kelley, Rose Wimbish-Tompkins, John Lowe, Camila Solorzano-Barrera, Oi Saeng Hong

International Nursing Research Congress (INRC)

Noise-induced hearing loss (NIHL) is an irreversible chronic condition resulting from prolonged exposure to loud noise and represents a major global public health concern. Native American (NA) populations are particularly vulnerable due to social and occupational determinants that increase exposure to high-noise environments, including construction, manufacturing factory, farming, and forestry. Hearing health has deep cultural importance for NAs, as oral communication is central to transmitting traditional knowledge and cultural teachings. Despite this, limited research has examined noise exposure, hearing protection practices, and the lived experiences of hearing loss within NA communities.

This study explores NA tribal members’ experiences with noise …