Digital Commons Network^™

Detection Lung Nodules Using Medical Ct Images Based On Deep Learning Techniques, Ali Abdulwahhab Mohammed, Ali H. Abdulwahhab, Ibraheem Kasim Ibraheem

Baghdad Science Journal

Lung nodule cancer detection is a critical and complex medical challenge. Accuracy in detecting lung nodules can significantly improve patient prognosis and care. The main challenge is to develop a detection method that can accurately distinguish between benign and malignant nodules and perform effectively under various imaging conditions. The development of technology and investment in deep learning techniques in the medical field make it easy to use Positron Emission Tomography (PET) and Computed Tomography (CT). Thus, this paper presents lung cancer detection by filtering the PET-CT image, obtaining the lung region of interest (ROI), and training using Convolution neural network …

Exploring Bim Capabilities For Life Cycle Assessment In Structural Projects: A Valencian Barraca Case Study For Sustainable Material Choices, Oscar Selfa, Barry Mcauley, Kieran Lakhera O'Shea

Conference Papers

The construction sector significantly contributes to greenhouse gas (GHG) emissions, resource consumption, and waste generation, with structural materials accounting for up to 40% of embedded carbon. This study investigates the integration of Building Information Modelling (BIM), Finite Element Analysis (FEA), and Life Cycle Assessment (LCA) tools to promote sustainable structural design. Using a BIM model of a Valencian barraca, three scenarios were evaluated: traditional materials (adobe and wood), concrete with steel, and concrete with Cross- Laminated Timber (CLT). Results show that natural materials generate lower impacts, while steel and concrete exhibit higher emissions. This work proposes a workflow integrating BIM, …

Analysis Of Thermal Conductivity, Surface Roughness, And Hardness Of Carbon Nanotube-Reinforced Three-Dimensional Printed Acrylic Resin, Ranin Raad Khalid, Abdalbseet A Fatalla, Matheel Al-Rawas, Yanti Johari, Yew Hin Beh, Johari Yap Abdullah

Baghdad Science Journal

The dentistry field is in continuously developing, especially with three-dimensional (3D) printing technology. This study aims to analyze how resin 3D-printed denture bases affect the thermal conductivity, surface roughness, and surface hardness when carbon nanotubes (CNTs) are added at various weight percentages. 3D-printed denture base acrylic resin has been enhanced with CNTs. The samples were divided into three groups (0.5% and 0.7% of CNTs by weight, and a control group with no added CNTs). All samples underwent thermal conductivity, surface roughness, and surface hardness tests. In addition to conducting analyses using Fourier transforms, infrared spectroscopy, and field emission scanning electron …

Photocatalytic Degradation Of Methylene Blue Dye Using Zinc Oxide Nanoparticles Prepared By Green Synthesized, Anwar Ali Baqer, Nadia Jasim Ghdeeb, Nedal Ali Hussain

Baghdad Science Journal

This study describes the environmentally friendly synthesis of zinc oxide nanoparticles (ZnO-NPs) using cinnamon extract, bay leaf extract, and chemical techniques. Due to its cost-effectiveness and avoidance of harmful ingredients, the green synthesis strategy for producing nanoparticles has significant advantages over physical and chemical procedures. The XRD data demonstrated the production of a hexagonal wurtzite structure, while the SEM investigations demonstrated a spherical shape and average size (21.49, 25.26) nm for ZnO NPs synthesized by cinnamon extract, bay leaf extract, and chemical techniques, respectively. The synthesized ZnO NPs demonstrate noteworthy photocatalytic efficacy in the breakdown of methylene blue dye under …

A Smart Pill Bottle And Text Messaging Intervention For Promoting Medication Adherence In Patients With Chronic Myeloid Leukemia: A Pilot Study Of Txt4 Tki, Kuang-Yi Wen, Neil Palmisiano, Rita Smith, Rachel Slamon, Gina Keiffer, Christian Fidler, Margaret Kasner, Lindsay Wilde, Md

Department of Medical Oncology Faculty Papers

BACKGROUND: Patients undergoing tyrosine kinase inhibitor (TKI) therapy for chronic myeloid leukemia (CML) often face challenges with adherence, despite the efficacy of the treatment. Theory-guided and evidence-informed interventions addressing psychosocial and adherence barriers are critical for promoting adherence. Using a mixed-method approach, the pilot study developed and evaluated the feasibility and potential impact of an intervention "txt4TKI," to support medication and symptom management among CML patients undergoing TKI therapy.

METHODS: Guided by the Necessity and Concerns framework, the study comprised two phases: Phase 1 involved qualitative patient needs assessment interviews informing intervention design. Phase 2 was a single-arm pilot study …

San Jose Urban Forest – An Open-Source Tree Canopy Surveying And Assessment Tool, Martin Alvarez Lopez, Manan Choksi, Sai Yaaminie Ganda, Vaibhavi Hiteshkumar Savani, Bernardo Flores

Faculty Research, Scholarly, and Creative Activity

The accurate monitoring of tree canopy coverage is crucial for social and environmental studies as well as city planning. Our goal is to provide a solution that utilizes available resources like yearly aerial imagery to generate tree data to track all tree canopy within a city such as San Jose, CA. By utilizing open-source software and publicly available data, we streamlined the process by eliminating the need for expensive equipment and time-consuming manual efforts associated with traditional methods. The methodology involves the conversion of aerial imagery datasets into geo-referenced TIFF format through a resampling process. To optimize efficiency, we strategically …

Implementation Outcomes For Agitation Detection Technologies In People With Dementia: A Systematic Review, Nicolas Farina, Lorna Smith, Melissa Rajalingam, Sube Banerjee

Peninsula Medical School

Background: Experiencing agitation can be particularly distressing for people with dementia and their caregivers. Using technologies to detect agitation can help monitor and intervene when agitation occurs, potentially reducing overall care and support needs. This systematic review aims to explore the implementation outcomes related to the use of agitation detection technologies in people with dementia. By adopting a taxonomy of implementation outcomes, this review seeks to provide insights valuable for the real-world adoption of such technologies for people with dementia. Methods: Searches were conducted in the following databases: SCOPUS, PubMed, PsychINFO, IEEEXplore, and CINAHL Plus. Included studies were required to …

Using Predictive Analytics To Reduce Small Business Cost Estimation Error, Diana Solt

Journal of Applied Packaging Research

Small and medium packaging companies generally employ the use of custom-developed quoting programs to bid goods and services. Custom bid programs (e.g. Excel) are used to capture the company-specific costs of production. The inputs of variable costs, such as machine rate and scrap rate, are critical to get correct; however, companies often rely on educated guesses and industry expertise to quote packaging products to end-users. Due to the guesswork involved there can be a financial difference between the quoted costs and actual costs. This variance is often the cause of significant lost dollars. Price, if not determined correctly, could negatively …

Tax Trends, Nicholas J. Fiore

Tax Adviser

No abstract provided.

Bronconest, Jake Esperson, Andrew Collins, Anish Katragadda

Computer Science and Engineering Senior Theses

Selecting suitable housing is a critical yet often overwhelming aspect of the college experience, particularly for incoming students who lack access to transparent and meaningful information about residential life. Existing platforms, such as official university housing portals or external real estate websites, fail to capture the nuanced, day-to-day experiences that influence student well-being, including cleanliness, social atmosphere, and sense of community. This issue is further compounded by the growing prevalence of remote decision-making and scattered, unverified sources of housing feedback.

To address this challenge, we developed BroncoNest, a scalable, cross-platform mobile application designed to centralize and personalize the student housing …

Nuclear Magnetic Resonance Dynamics Of Pyrazole-Litfsi Eutectic Solvents As Promising Electrolytes, Emilia Pelegano-Titmuss, Giselle De Araujo Lima E Souza, Muhammad Zulqarnain, Ramez Elgammal, Thomas Zawodzinski, Steven Greenbaum

Undergraduate Research

Deep Eutectic Solvents (DESs) have emerged as promising candidates to replace conventional organic solvents in various technological applications due to their low vapor pressure, non-flammability, and ease of preparation at low costs. In particular, Type IV DESs, which are composed of metal salts and hydrogen bond donors, are possible replacements for lithium-ion battery electrolytes due to their potential of having high lithium transference numbers. In this study, we investigated solvents of Pyrazole and LiTFSI at varying molar ratios using Fast Field Cycling (FFC) NMR Relaxometry. Notably, the 1:2 LiTFSI: Pyrazole sample shows distinct behavior, exhibiting enhanced relaxation rates for ^{1 …}

Vampyres Reimagined, Madison Marie Strand

Masters Theses

This thesis explores the intricate interplay between imagination and reality in fantasy literature, encapsulated within the first ninety pages of my novel, A Ruin of Memories. It is an explorative contribution to the genre, with themes of mental health, loss, and belonging in an environment that morphs reality with the supernatural.

The artist statement serves as a reflective insight into my creative process and personal journey as a writer. It outlines my motivations for crafting A Ruin of Memories, rooted in my desire to paint a picture of spiritual warfare through the lens of vampyres, werewolves, and witches. Through this …

Science And The Humanities: Are They Two Polar Entities?, Elizabeth Mckenna Silvey

Masters Theses

Science and the humanities are often perceived as being separate entities. In academic settings, there is little to no overlap in these courses of study. One can obtain a Bachelor of Science or a Bachelor of Arts degree, but there are no academic majors that allow for the study of both the humanities and the sciences. Despite the seemingly different courses of study, it is through careful examination of literature and thoroughly delving into pieces of literature in order to excavate the meaning and purpose behind the work, that one is able to see the distinct connections between the two …

Waffles And Spaghetti: The Effects Of Cognitive Processing Methods On Team Performance And Communication, Jonah Daniel Browning

Masters Theses

The goal of this thesis is to shed light on a practical method for resolving conflicts in team environments that stem from miscommunications brought on by differing cognitive processes. Our brains use different cognitive processing techniques to make sense of and explore the vast amount of information the world presents them on a daily, even hourly basis. Each person has their own thinking style which influences how teams collaborate and problem solve. However, miscommunication can often arise when individuals fail to recognize and adapt to the varying processing methods, which can lead to frustration and inefficiency.

This research seeks to …

The Craft Of Christie: A Dissection Of Agatha Christie’S Creation Of Character, Rachel Grace Olds

Masters Theses

Agatha Christie’s writing is widely known, but not deeply known. She is a master of the genre of mystery, and many critics and scholars have lauded her genius. However, she is not often recognized for her mastery of the craft of character. In fact, several critics have misunderstood her characters as two-dimensional beings that exist only to advance the plot. This thesis aims to examine the way Agatha Christie crafts her characters, how her methods of the craft of character work to perfectly mislead her readers, and her ultimate purpose for creating and implementing manipulative elements for the reader. In …

T E C H R E V O L U T I O N - Navigating The Digital Classroom: Challenges And Opportunities Of Online Learning, Wes Poole

Masters Theses

Research indicators confirm that that online learning is complex, with both challenges and opportunities to be found. There are several benefits to online learning, including flexibility, accessibility, personalized learning, and collaboration, but there are also many challenges associated with it. While equity and assessment are still major challenges, technology barriers are still present, engagement is limited, and communication is limited.

There is no doubt that self-directed learning, also referred to as online learning, provides innovative pedagogical approaches and also connects learners all over the world through self-directed learning. As a result, it is imperative that existing challenges be addressed, effective …

Vaccine Hesitancy In Türkiye: A Natural Language Processing Study On Social Media, Semi̇h Sari, Ulya Bayram

Turkish Journal of Electrical Engineering and Computer Sciences

Vaccine hesitancy is a significant public healthcare problem that is threatening everyone worldwide. Vaccine hesitancy has become more ingrained in Turkish society, mainly through social media. Unfortunately, reflections of this hesitancy are preventable deaths or permanent disabilities. Because of the uncontrolled spread of misinformation and disinformation on social media, Türkiye is facing a future health crisis. As a step towards preventing this crisis, our main objective is to use the power of artificial intelligence techniques on Turkish social media posts to detect antivaccine posts. Through this study, it will be possible to raise awareness about the importance of vaccines in …

"The People Of China's Navy & Other Maritime Forces" Conference Quick Look, China Maritime Studies Institute

CMSI Findings

Quick Look Report for China Maritime Studies Institute (CMSI) Conference “The People of China's Navy and Other Maritime Forces”

The China Maritime Studies Institute held its biennial unclassified academic conference on 14–15 May 2025 to address human factors in the People’s Republic of China (PRC)’s military maritime forces. Roughly 150 external and 200 Naval War College students and faculty attended the event. Panel topics included (1) senior leadership, (2) the People’s Liberation Army Navy (PLAN) headquarters, (3) PLAN warfare communities, (4) PLAN talent recruitment, development, and retention, (5) the personnel of China’s other sea forces, and (6) implications for the …

Gardner-Webb Alumnus And Retired Navy Commander John E. Sutton Speaks At University’S Annual Memorial Day Observance, Office Of University Communications

Gardner-Webb NewsCenter Archive

The Memorial Day Observance at Gardner-Webb University on May 23 featured retired Navy Commander John E. “JES” Sutton as the featured speaker. A 1976 alumnus, Sutton presented a brief history of Memorial Day. He noted, in particular, the stories of courage and sacrifice that impact his reflective approach to the day.

A Semiclassical Model Of The Immediate Temperature Distribution Surrounding The Track Of Heavy Ions With Therapeutic Energies, Martin Rädler, Niayesh Afshordi, Reza Taleei, Katia Parodi, Ramin Abolfath, Julie Lascaud

Department of Radiation Oncology Faculty Papers

Objective. Spikes of high temperature and pressure are created in the vicinity of heavy ions, especially at the Bragg peak. The expected subsequent thermoacoustic effects are however not well understood. In particular, the distribution of the densely packed primary interactions has not been considered in molecular dynamics (MDs) simulations or shock wave solutions. In this work, we derive a dedicated model to describe the primary interactions and their radial distribution, applicable to the modeling of acoustic and thermodynamic effects at the nanoscale. Approach. Starting from first principles, we assemble a semiclassical model of the energy loss of the primary heavy …

Design And Performance Evaluation Of Pv-Powered Ev Charging Stations With Grid Integration And Comparative Analysis Of Dc-Dc Converters For Offboard Chargers, Mohammad Abidur Rahman

Theses and Dissertations

Grid-integrated photovoltaic (PV)-powered electric vehicle (EV) charging stations offer a sustainable solution for reducing grid dependency and fossil fuel consumption in workplace environments. This study proposes a PV-powered EV charging system with an AC bus configuration and grid support to ensure stable and efficient operation. A comparative analysis of four DC-DC converter topologies—Dual Active Bridge (DAB), LLC Resonant, Interleaved Buck-Boost, and Interleaved Buck—is conducted for offboard charging applications. Performance evaluation is carried out using MATLAB/Simulink, considering voltage and current ripple, power density, stress levels, bidirectional capability, and control complexity. Component-level reliability is assessed using MIL-HDBK-217 standards to estimate failure rates …

May 23, 2025 Ereporter, University Of Alabama At Birmingham

eReporter (campus newsletter)

No abstract provided.

Ud In The News May 17-23, University Of Dayton

News Releases

The Associated Press, for a story picked up nationwide, and many local and regional media talked to Human Rights Center Executive Director Natalie Hudson about the NATO assembly in Dayton. AP also quoted faculty in other stories distributed widely.

Cover And Contents

Turkish Journal of Electrical Engineering and Computer Sciences

No abstract provided.

A Hybrid Ahp-Dea Approach For Software Architecture Evaluation And Selection, Mehran Hajipoor, Homayun Motameni, Ali̇ Ebrahimnejad

Turkish Journal of Electrical Engineering and Computer Sciences

Decisions made during the software architecture stage significantly influence the success or failure of software projects. Software architects must navigate the complex task of selecting the most suitable architecture style while balancing stakeholders’ operational and nonoperational requirements. These requirements often involve diverse and conflicting quality attributes with varying priorities, as well as intricate interactions where some attributes positively or negatively influence others. Furthermore, different architectural styles exhibit varying levels of support for these quality attributes, adding another layer of complexity to the decision-making process. This study leverages the Analytic Hierarchy Process (AHP) and Data Envelopment Analysis (DEA) within a novel …

Resource Allocation For Downlink Hybrid Noma With Nonideal Circuit Power Consumption, İlke Altin, Mehmet Akar

Turkish Journal of Electrical Engineering and Computer Sciences

This article studies the latency-constrained downlink resource allocation problem with nonideal circuit power consumption, focusing on the total energy consumption of the base station and the users. First, an optimal downlink Hybrid Non-Orthogonal Multiple Access (H-NOMA) scheme for two users is proposed which gives the optimal time and power allocation. Then, we extend the H-NOMA idea to multiple users by combining it with Orthogonal Frequency Domain Multiple Access (OFDMA) and allocate subchannels utilizing the novel Bootstrapped Total-Reward Exchange Stable (B-TES) algorithm. Afterward, via simulations, we show that the H-NOMA method outperforms Orthogonal Multiple Access (OMA) and Non-Orthogonal Multiple Access (NOMA) …

Enhanced Cuffless Blood Pressure Estimation Using Ecg And Ppg Signals: A Hybrid Approach With Windkessel, Arima, And Lstm, Piyush Mahajan, Amit Kaul

Turkish Journal of Electrical Engineering and Computer Sciences

Accurate blood pressure (BP) estimation is essential for the monitoring and management of cardiovascular diseases. This study presents a hybrid model for cuffless BP estimation using electrocardiogram (ECG) and photoplethysmogram (PPG) signals. The model incorporates features from time-domain, frequency-domain, and model-based approaches, including the Windkessel model, AutoRegressive Integrated Moving Average (ARIMA), and Long Short-Term Memory (LSTM) networks. To enhance performance, feature selection and reduction techniques such as Minimum Redundancy Maximum Relevance (MRMR) and autoencoders were employed. Additionally, model ensemble strategies, including average and weighted average modes, were utilized to combine the predictions of different models. The proposed method demonstrated superior …

Robust Sliding Mode Control For Precision Anesthesia Delivery: Addressing Interpatient Variability In Depth Of Hypnosis, Talha Sajjad, Adeel Iqbal, Ali Khaqan, Ali Nauman, Bilal Ijaz, Raja Ali Riaz

Turkish Journal of Electrical Engineering and Computer Sciences

Anesthesia induction is a critical aspect of ensuring patients' health and safety during surgical procedures. The manual administration of anesthesia can lead to serious medical issues due to variability among patients, as well as the risks of overdosing or underdosing anesthetic drugs. While various linear control techniques have been implemented to enhance the safety of anesthesia infusion, non-linear control strategies have demonstrated superior results in achieving the desired level of hypnosis for surgical activities, primarily due to the significant parametric variations present in different patients.Given these challenges, there is a pressing need to develop an efficient anesthesia infusion system that …

Design And Optimization Of Low-Loss, High-Gain Metamaterial-Based Log-Periodic Dipole Array Antenna For Full Ka-Band Coverage, Mohamed El Moniar, Ahmed Abd El Hady, Yasser Ismail, Nihal Areed

Turkish Journal of Electrical Engineering and Computer Sciences

This work describes a microstrip log-periodic dipole array (MLPDA) antenna that uses metamaterials and operates across the whole Ka-band. The suggested MLPDA antenna layout provides a wide bandwidth with fewer dipole elements than traditional MLPDA antennas while maintaining the same resonance frequencies. To reduce size while covering a wide operational spectrum, the antenna design includes bending dipoles as radiating elements, as well as an incomplete ground plane. Furthermore, the proposed MLPDA antenna’s energy loss has been reduced while boosting its signal strength (gain) by inserting a metamaterial-based structure in front of it at a certain distance and on the same …

A Methodology For Nuclei Segmentation In H&E Images Using Efficientnetb7 Guided U-Net And Multiple Data Augmentation Strategies, Furkan Atlan, Emrah Hançer

Turkish Journal of Electrical Engineering and Computer Sciences

Automating nuclei segmentation in Hematoxylin and Eosin (H&E) stained images is crucial for advancing computational pathology. Despite significant research, challenges such as overlapping nuclei, varying scanner resolutions, and diverse nuclear morphologies continue to hinder segmentation accuracy. In this paper, we propose a deep-learning based methodology that integrates multiple data augmentation strategies with a U-Net architecture enhanced by the EfficientNetB7 encoder. To enhance generalization, we train the model using a combined dataset from MoNuSeg2018, CPM-17, and CoNSeP, exposing it to diverse staining techniques and tissue types. We then evaluate its robustness on the unseen CryoNuSeg dataset, which consists of fully annotated …