Digital Commons Network^™

A Quantitative Assessment Of Effective Sustainable Waste Management Using An Ahp-Topsis Methodology In A Neutrosophic Environment (In India), Sneha Baskaran, Ezhilmaran Devarasan

Baghdad Science Journal

Waste management is a key to sustainable development and environmental safety, particularly in the environment of the fast evolving smart cities. This study proposes a new decision-making model that will assist in the process of choosing effective sustainable methods in waste management for smart cities. It compares the four methods of waste management in relation to seven factors. Two Multi-Criteria Decision Making (MCDM) are used i) Analytical Hierarchy Process (AHP) and ii) Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) in a Neutrosophic Soft Set (NSS) environment. NSS have a more adaptive structure on dealing with the uncertainty …

Inventory Control Model On Matrix Geometric Method For Intermittently Obtainable Server With Balking And Feedback In Markovian Queueing Model, Indumathi P, Kathikeyan K

Baghdad Science Journal

The paper deals with the problem of queueing-inventory system that has uncertain service conditions, and it discusses the contribution of server availability and customer behaviours like balking and feedback that are also added in to the system performance. In real life service and production situations, servers are not always available because of maintenance processes, capacity constraints, or other unforeseen disruptions. In order to simulate such characteristics, the system is modelled in a Markovian context where the interdependency between inventory levels, customer inflows, and server capacity is simulated. The time of customer arrivals is random and the time to serve is …

Eeg Lossless Signal Compression Based On Magnitude Classification And Run Length Encoding, Hala A. Jasim, Loay E. George, Eman H. Khudhair, Bushra A. Sultan

Baghdad Science Journal

Electroencephalography (EEG) data comes with a large size due to the data's high sampling rate. Therefore, compressing EEG data is very important for storing the EEG files efficiently with less space and bandwidth capacity requirement. This research develops an efficient system for EEG data compression. The recorded EEG data are preprocessed and scaled using certain Resolution Factor and truncated to integer numbers, then the scaled EEG samples are classified into small and large vectors using a proposed adaptive thresholding which is based on using three computed factors: Standard deviation, Average of samples (Mean), and the multiplier factor (α). …

Honey Badger Algorithm-Based Feature Selection For Ddos Attack Detection In Iot Networks, Mustafa Azeez Al-Mayyahi, Ahmed Raad Al-Sudani

Baghdad Science Journal

By quick computer and communication technology improvement, Distributed Denial of Service (DDoS) attack harm is getting more important. DDoS attacks research is the important study domain; a number of methods exist which have been presented like the algorithm of evolutionary as well as artificial intelligence in literature to diagnose attacks of DDoS. Unfortunately, new popular models of DDoS diagnosis are deteriorating for validating DDoS attacks objective and prior identification. Because of DDoS attack modes diversity as well as various attack traffic amount, still there is not the technique of diagnosis with promising accuracy of diagnosis currently. By choosing the best …

Enhancing Performance Of Intrusion Prevention Systems Through Machine Learning: A Comparative Study, Rawaa Hamza Ali, Zainab Saad Karam

Baghdad Science Journal

This research introduces a Machine Learning-Powered Intrusion Prevention System (ML-IPS) as a robust solution to address the challenges posed by evolving cyber threats. The ML-IPS combines timely threat detection with enhanced accuracy for real-time attack prevention, offering a resilient defense against a broad spectrum of cyber-attack. This study delves into the comprehensive evaluation of a machine learning-powered IPS that ingeniously harnesses the power of advanced algorithms to facilitate real-time threat detection and significantly enhance the overall accuracy of the system. The efficacy of intrusion prevention systems (IPS) that employ machine learning (ML) is greatly dependent on the choice of suitable …

Laser-Focusing Defense Capabilities, James Giordano

Strategic Insights

This commentary examines the growing strategic importance of high-energy laser weapons as part of modern multidomain defense and deterrence. As unmanned systems, hypersonic delivery platforms, and electronic warfare capabilities expand the speed and scale of modern conflict, traditional kinetic defenses face increasing limitations. Directed-energy systems, particularly high-energy lasers, offer scalable, precise, and cost-effective countermeasures against emerging threats. While laser weapons are not a universal solution, continued investment in power generation, beam control, artificial intelligence integration, and operational doctrine could allow these systems to play a central role in future defense architectures. Properly developed and integrated, laser technologies could strengthen deterrence, …

Hybrid Vision Transformer–Cnn Framework For Alzheimer’S Disease Cell Type Classification: A Comparative Study With Vision–Language Models, Md Easin Hasan, Md Tahmid Hasan Fuad, Omar Sharif, Amy Wagler

School of Mathematical & Statistical Sciences Faculty Publications

Accurate identification of Alzheimer’s disease (AD)-related cellular characteristics from microscopy images is essential for understanding neurodegenerative mechanisms at the cellular level. While most computational approaches focus on macroscopic neuroimaging modalities, cell type classification from microscopy remains relatively underexplored. In this study, we propose a hybrid vision transformer–convolutional neural network (ViT–CNN) framework that integrates DeiT-Small and EfficientNet-B7 to classify three AD-related cell types—astrocytes, cortical neurons, and SH-SY5Y neuroblastoma cells—from phase-contrast microscopy images. We perform a comparative evaluation against conventional CNN architectures (DenseNet, ResNet, InceptionNet, and MobileNet) and prompt-based multimodal vision–language models (GPT-5, GPT-4o, and Gemini 2.5-Flash) using zero-shot, few-shot, and chain-of-thought …

Nursing Student Perceptions Of Clinical Experiences With Practicing Nurses: A Descriptive Research Study, Carolyn E. Smith, Jenna E. Davis

Creating Healthy Work Environments (CHWE)

Clinical education is an essential part of the nursing curriculum contributing to critical thinking skills and nursing judgment. The students’ experiences within the clinical setting sets a precedence for their future careers and how they interact with their peers and interprofessional team members (Mamaghani et al., 2019). Communication between the bedside nurses and the students is a key factor to student success and confidence at the bedside. The tone, topic, and timing of the conversation between students, nurses, and/or peers, may impact the student view of bedside nursing. Positive interactions and supportive feedback leads to improved patient care, clinical judgment, …

Student’S Experience With Cognitive Rehearsal To Address Incivility, Penny A. Sauer, Margaret M. Verzella

Creating Healthy Work Environments (CHWE)

Nurses need to be able to advocate for their patients, even if they face verbal abuse or incivility. Current literature indicates that 66.2%-95.1% of nurses experience verbal abuse (Dadfar & Lester, 2021) with younger, inexperienced nurses having higher levels of abuse (Zulfan et al., 2022). Nurses who face workplace violence, including verbal abuse, have higher levels of stress, impacting their mental and physical health (Sauer & McCoy, 2017).

A mixed-method study was conducted with undergraduate nursing students to determine their response to a simulation that included difficult communication with a healthcare provider. Students were provided with tools and strategies to …

Theoretical Contributions To A Positive Work Environment, Sharon Prawl

Creating Healthy Work Environments (CHWE)

Objectives: Examination of the success of nurse preceptors is moving toward the need for co-creation between nurse leaders and nurses in the role of nurse preceptors. The current nursing workforce has five generations in the cohort of healthcare workers: Silent Generation, Baby Boomers, Generation X, Millennials (Generation Y), and Generation Z (Bacon, 2023). Each group may have different characteristics and traits; supporting them can be challenging. As noted, the demographics of the workforce have changed. Therefore, Nurse Leaders (NL) must demonstrate inclusive leadership behaviors that result in practice environments where all individuals, diverse in their ages, experiences, and education, …

Organizational Trust And Burnout Among Registered Nurses And Patient Care Aides: A Qualitative Study, Katherine C. Brewer, Andrew Dierkes, Allison A. Norful

Creating Healthy Work Environments (CHWE)

Background: Healthcare worker wellbeing has emerged as a pivotal topic in workforce research. Organizational factors may impact well-being as much as individual and personal factors. One organizational determinant of well-being includes institutional trust; specifically, how the relationship between clinician and employer influences well-being (e.g., burnout). Institutional trust is an important factor in human caring professions, due to the moral and emotional nature of the work and the expectation for safety and provision among clinicians by employers. Existing clinician well-being research rarely studies institutional trust among registered nurses (RNs) and patient care aides (PCAs), despite their important frontline role in patient …

Musculoskeletal Infection Reporting And Data System (Mski-Rads): Reviewed And Explained, Angela He, Flavio Duarte Silva, Mina Guirguis, Erin F. Alaia, William B Morrison, Avneesh Chhabra

Department of Radiology Faculty Papers

A standardized guideline and scoring system are recommended for the imaging evaluation of musculoskeletal infections on MR imaging. The Musculoskeletal Infection Reporting and Data System (MSKI-RADS) is a recently developed and validated classification system using MR imaging that can be used to classify the severity and extent of musculoskeletal infections, improve radiology-pathology concordance, and outline the corresponding management recommendations. This review article explains MSKI-RADS and discusses the different elements of this system in detail with a review of pertinent literature so that the readers can apply it in their practices. The work outlines the technical considerations for optimal MR imaging …

A Probabilistic Deep Learning Framework For Retrieving Chlorophyll-A From Hyperspectral Imagery: Integrating Channel Attention And Mixture Density Networks, Wenzhao Li, Surendra Maharjan, Rejoice Thomas, Junde Chen, Hesham Morgan, Michael J. Garay, Olga V. Kalashnikova, Shahryar Fazli, Charles Ichoku, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Accurate monitoring of Chlorophyll-a (Chla) is critical for assessing aquatic ecosystem health, yet ecological complexity often leads to ambiguous spectral signatures in satellite data. Traditional deterministic models assume a one-to-one mapping between spectra and pigments, often failing to capture these high-dimensional analytical challenges. In this study, we propose a novel deep learning architecture, the Channel Attention-Mixture Density Network (CA-MDN), to retrieve Chla from the National Aeronautics and Space Administration (NASA) Earth Surface Mineral Dust Source Investigation (EMIT) hyperspectral mission. The CA-MDN integrates an attention mechanism to dynamically select ecologically relevant spectral bands and employs a probabilistic output layer to quantify …

Prevalence And Molecular Characterization Of Cytb Gene Of Pediculus Humanus Capitis In The Northern Regions Of Basrah Province, Iraq, Sarmad Awad Mozan Al-Asadi, Asmaa Abdul-Zahra Sabaa Al-Edany, Luay Al-Kanan

Baghdad Science Journal

Human head lice are widely dispersed ectoparasites in the world and have been divided into 6 haplogroups (A to F). There are no studies about the louse haplogroup type in Iraq. Thus, the study aimed to determine the species of head lice and their prevalence rate in primary school students in north Basrah and also aimed to determine the genotype and haplogroup of head lice in these regions. All louse samples belong to Pediculus humanus capitis and their prevalence rate was significantly higher in female students (34.9%) than in male students (23.2%). Molecular genotyping of the cytb gene using PCR …

Air Pollution Assessment Around Al-Rumaila Combined Cycle Power Plant, Basrah Governorate Under Dry Climatic Conditions, Mariam S. Nasser, Monim H. Al-Jiboori, Jinan S. Al-Hassany

Baghdad Science Journal

The paper addresses the potential air pollution levels resulting from the combustion of natural gas in the Rumaila combined cycle power plant in Basrah city. The study aims to evaluate the concentrations of pollutants (carbon monoxide, sulfur dioxide, nitrogen oxides, and particulate matter) at distances of 100, 500, and 1000 meters from the plant using a Gaussian dispersion model. This includes calculating the emission rates of pollutants from the stacks and estimating atmospheric stability based on data from the Iraqi Meteorological Authority. The study also determines the Turner-Pasquill stability classes for August 2023 and the wind speed and direction at …

Oscillation Conditions For Solutions Of First Order Piecewise Constant Neutral Differential Equations, Sora Ali Majeed, Hussain Ali Mohamad

Baghdad Science Journal

The research seeks to examine a new form of equations as well as possible criteria for oscillation and non-oscillation for all solutions of first-order neutral differential equations with the piecewise constant, whether these oscillatory solutions are convergent or non-convergent, by finding sufficient conditions that guarantee the oscillation of all solutions of these equations. According to NDEPC, these equations contain three delays and three coefficients, which requires that part of the coefficients in this equation be piecewise continuous. In witch A function that assumes constant values over predetermined intervals is known as a piecewise constant argument (PCA). The biggest integer function …

The Path Forward For T Cell Engagers In Patients With Prostate Cancer, Sumit K. Subudhi, Bilal A. Siddiqui, Kevin K. Zarrabi, William K. Kelly, Charles G. Drake

Department of Medical Oncology Faculty Papers

T cell engagers (TCEs) recruit T cells to the tumor microenvironment (TME) to induce antitumor immune responses. TCEs have demonstrated promising clinical responses in patients with metastatic castration-resistant prostate cancer and have advanced into phase 3 clinical trials. Here we provide an overview of the mechanisms of action of TCEs, including both CD3-targeted and CD28-targeted agents, and review the clinical development of these agents for prostate cancer. We propose a path forward for TCEs in prostate cancer, in which innovative clinical trials will facilitate a biological understanding of mechanisms of efficacy and toxicity to inform: (1) development of predictive biomarkers …

Weaponizing The First Amendment: Captive Audience Laws Recast From Shield To Sword, Seth Freeman

Seattle University Law Review Online

This Comment examines the evolution and misuse of captive audience laws in the United States, particularly as they have shifted from narrow exceptions in First Amendment jurisprudence to expansive tools for ideological suppression. Originally designed to protect individuals from unavoidable and coercive speech, especially in private spaces like the home, captive audience laws have increasingly been utilized in regulating workplace speech, with a recent focus on suppressing conversations around diversity, equity, and inclusion (DEI). Through an analysis of foundational Supreme Court cases and an exploration of recent legislative trends, this Comment reveals how state legislatures have weaponized captive audience doctrine …

Mid-Size Firm And Private Sector Networking Fair, New York Law School

Academic Planning and Career Development

Tuesday, February 24, 2026

Anomalous Spontaneous Induction Of Magnetic And Electric Fields In Dense Quark Matter, Efrain J. Ferrer, Jose Miguel Perez-Fernandez

Physics & Astronomy Faculty Publications

In this paper, we will demonstrate that a dense quark-matter system in the dual chiral density wave (DCDW) phase behaves as a ferromagnet in the sense that its magnetic-field dependent magnetization remains different from zero even at 𝐵 →0. The corresponding permanent magnetization is a function of the baryonic chemical potential 𝜇, decreasing up to zero as 𝜇 increases in the range of intermediate densities (312  MeV⩽𝜇⩽342  MeV) and then increasing from zero in the higher density interval 490  MeV⩽𝜇⩽550  MeV. We will show that this system’s ability to generate permanent magnetization, together with the existence of the axial anomaly, …

Cle Program: Putting People At The Center Of Representation 2-24-2026, Roger Williams University School Of Law

School of Law Conferences, Lectures & Events

No abstract provided.

Granite State Issues: Guns In Colleges, Ice In Merrimack, Public School Choice Limits, Marijuana Legalization 2/24/2026, Unh Survey Center

All UNH Survey Center Polls

Majorities of New Hampshire residents oppose a proposed Immigration and Customs Enforcement (ICE) processing facility in Merrimack and the elimination of vaccine requirements in public schools. Pluralities oppose a bill allowing guns and other weapons at public colleges and universities and a bill prohibiting public school districts from limiting the number of students they accept from other districts or who wish to leave and go to another district. A majority approve of legalizing marijuana for recreational use. Overall, the most important problems facing New Hampshire are housing and taxes. Finally, Governor Kelly Ayotte’s approval rating has slipped to the lowest …

Foulkes Retains Lead In Ri Dem Gubernatorial Primary, Mckee Approval Falls To New Low 2/24/2026, Unh Survey Center

All UNH Survey Center Polls

Helena Foulkes remains the leader in the race for the Democratic nomination for Rhode Island governor, but a plurality of likely voters remain undecided. Neither the declared candidates nor possible late entrant and former Governor Gina Raimondo are particularly popular among likely Democratic primary voters, and very few want Raimondo to launch a new campaign for governor. On the Republican side, the declared candidates are not well-known among likely Republican primary voters, but there is strong interest in 2022 Republican nominee Ashley Kalus running again. Approval of Governor Dan McKee's performance as governor has fallen to an all-time low, but …

Prevalence And Predictors Of Inappropriate Antibiotic Prescriptions Among Dentists In Muscat Governorate, Oman, Wajiha Abdul Majeed Al-Lawati, Manar Alsanaa Ali Alzeedi, Elham Mohammadi, Noora Alhosni

Sultan Qaboos University Medical Journal

Objectives: Inappropriate antibiotic prescriptions represent a major healthcare concern, contributing to increasing antimicrobial resistance. Dentists account for up to 10% of antibiotic prescriptions, highlighting the need for rational prescribing practices. This study aimed to assess the prevalence and predictors of inappropriate antibiotic prescriptions by dentists in primary health clinics in Muscat Governorate, Oman. Methods: This retrospective cross-sectional study was conducted on dental antibiotic prescriptions issued between July and December 2024 in government and private dental care facilities across Muscat Governorate. Clinics were randomly selected and data were extracted from electronic patient records using a structured form. Descriptive statistics, Chi-square tests …

Risk Stratification Of Low-Dose Cytarabine And Venetoclax In Patients With Aml Ineligible For Intensive Chemotherapy, Andrew H Wei, Panayiotis Panayiotidis, Pau Montesinos, Kamel Laribi, Vladimir Ivanov, Inho Kim, Jan Novak, Rebecca Champion, Walter Fiedler, Maria Pagoni, Julie Bergeron, Stephen B Ting, Jing-Zhou Hou, Takahiro Yamauchi, Jianxiang Wang, Stephen A Strickland, Michael R Savona, Tara L Lin, Anoop Enjeti, Ing Soo Tiong, Sangmin Lee, Gail J Roboz, Relja Popovic, Qi Jiang, Zihuan Liu, Yan Sun, Wellington Mendes, Brenda Chyla, Courtney D Dinardo

Faculty, Staff and Student Publications

Prognostic risk categorization aids treatment selection for patients with acute myeloid leukemia (AML). Although the European LeukemiaNet (ELN) classifications (2017 and 2022) for AML have been used to stratify outcomes for patients receiving intensive chemotherapy, their application to patients receiving less intensive therapy, such as azacitidine plus venetoclax, has been less satisfactory. In response, a 4-gene classifier that stratifies older patients with AML unfit for intensive chemotherapy into those with higher benefit (wild type), intermediate benefit (FLT3-internal tandem duplication [ITD] or NRAS/KRAS mutation), or lower benefit (TP53 mutation) after azacitidine plus venetoclax treatment was developed. We hypothesized that this 4-gene …

Concordance Analysis Of Dna And Rna Profiling: The Md Anderson Impact2 Study In Precision Oncology, Stephanie T Schmidt, Mehmet A Baysal, Siqing Fu, David S Hong, Sarina A Piha-Paul, Aung Naing, Jordi Rodon Ahnert, Timothy A Yap, Ecaterina Elena Dumbrava, Jennifer Beck, Funda Meric-Bernstam, Apostolia Maria Tsimberidou

Faculty, Staff and Student Publications

DNA profiling is an established method for cancer treatment selection, while RNA profiling remains investigational. We explored associations between DNA and RNA alterations and between the number of genes with altered expression and overall survival (OS) using patient data from IMPACT2 (NCT02152254), a randomized study evaluating molecular profiling for guiding cancer therapy across tumor types. Molecular profiling, including DNA next-generation sequencing, was performed on all 829 patients in the IMPACT2 study. RNA profiling was performed by Tempus for 253 of 829 patients. We evaluated the concordance between DNA and RNA profiling, analyzed OS in 217 treated patients with …

Winner's Curse Free Robust Mendelian Randomization With Summary Data, Zhongming Xie, Wanheng Zhang, Jingshen Wang, Chong Wu

Faculty, Staff and Student Publications

In the past decade, the increased availability of genome-wide association studies summary data has popularized Mendelian Randomization (MR) for conducting causal inference. MR analyses, incorporating genetic variants as instrumental variables, are known for their robustness against reverse causation bias and unmeasured confounders. Nevertheless, classical MR analyses using summary data may still produce biased causal effect estimates due to the winner’s curse and pleiotropy issues. To address these two issues and establish valid causal conclusions, we propose a unified robust Mendelian Randomization framework with summary data, which systematically removes the winner’s curse and screens out invalid genetic instruments with pleiotropic effects. …

Interfacial Engineering Of Electrodes And Solid-State Electrolytes For High-Performance Lithium-Ion And Sodium-Ion Batteries, Ahmad Helaley

McKelvey School of Engineering Graduate Student Theses & Dissertations

The rapid expansion of electrified transportation and renewable energy integration demands advanced lithium-ion (Li-ion) and sodium-ion (Na-ion) batteries with enhanced safety, long-term reliability, and high energy efficiency. However, conventional systems employing liquid electrolytes continue to exhibit persistent failure modes, including thermal instability, parasitic interfacial reactions, transition-metal dissolution, and electrode degradation under high-voltage or fast-charging conditions. These limitations become even more critical in solid-state configurations, where insufficient ion mobility and interfacial incompatibility can severely restrict electrochemical performance. The first part of this dissertation develops an atomic-layer-scale interfacial stabilization strategy using atomic layer deposition (ALD) coatings. ZnO-modified graphite anodes in Li-ion cells …

Estimating The Baseline Age When Longitudinal Changes In Biomarkers Accelerate: Application To An Imaging Study Of Preclinical Alzheimer Disease, Chengjie Xiong, Folasade Agboola, Jingqin Luo

2020-Current year OA Pubs

BACKGROUND: Biomarkers are routinely measured from human biospecimens and imaging scans in Alzheimer disease (AD) research. Age is a well-known risk factor for AD. Detecting the baseline age at which the longitudinal change in biomarkers starts to accelerate is important to design preventive interventions. METHODS: We analyzed longitudinal biomarker data by a random intercept and random slope model where the slope (longitudinal rate of change) was modeled as a piecewise linear and continuous function of baseline age. We proposed to estimate the baseline age at the intersection of the two linear functions by multiple methods: maximum (profile) likelihood, minimum squared …

20260224: Institute For The Arts, 1978-1985, College Of Arts And Media

Guides to University Archives

These items include materials from the College of Arts and Media at Marshall University from 1978-1985. Items were received sometime in the 1990s but were not processed until 2026. Items include notable materials about the Institute for the Arts in the late 1970s and then early 1980s.