Digital Commons Network^™

Synthesis Of Nitrogen-Enriched 3d Graphene Foam For Electrochemical Sensing Of Hydrogen Peroxide (H₂O₂), Bhargavi Dronavalli, Madhava Rao Vallabhaneni, Jatla Murali Prakash, Deepti Kolli, Dandamudi Srilaxmi

Karbala International Journal of Modern Science

In this work, A simple hydrothermal process was utilized to create 3D-foam-type Nitrogen-doped graphene (NDG). The synthesized material was characterized using a range of physicochemical characterization techniques. These techniques confirm that nitrogen is successfully incorporated into the carbon network, resulting in NDG. Cyclic voltammetry (CV) investigation demonstrated that NDG-modified glassy carbon electrode (NDG/GCE) displayed finite charge transfer properties against typical redox systems. NDG/GCE is identified as a simple, facile, and efficient electrocatalyst material for the estimation of hydrogen peroxide (H₂O₂). From CV analysis, it is revealed that NDG/GCE can produce a signal for electrochemical quantification of …

Assessing The Effect Of Aqueous Lavender Extract Sprays On Gingivitis In Pediatric Patients With Type 1 Diabetes (Randomized Clinical Trial), Doaa J. Sadea, Chaza N. Kouchaje

Arabian Journal of Pediatric Dentistry

Introduction: The prevalence of diabetes mellitus in children and adolescents has increased worldwide over the past three decades. High blood sugar levels in diabetic patients negatively affect the inflammatory response to dental plaque, leading to gingivitis and periodontitis, manifested by periodontal abscesses, and xerostomia, which leads to cervical caries and a high carious predisposition. Several studies have shown that plaque removal is not completely achieved using mechanical methods alone, so chemical control methods have emerged as an adjuvant and enhancing method.

The aim of the research: The current study aims to evaluate lavender sprays on gingivitis in pediatric patients with …

A Study Of The Knowledge And Awareness Of Dental Students In Syrian Public Universities About The Using Artificial Intelligence In Pediatric Dentistry, Abdulrhman A. Alkhaled, Chaza N. Kouchaje

Arabian Journal of Pediatric Dentistry

Background : The advent of artificial intelligence (AI) has caused a paradigm change in the medical and dental disciplines in recent years. It is crucial for practitioners to comprehend the basic ideas, underlying principles, and applications of AI as it continues to influence clinical practices in the present and the future. AI is a potent diagnostic tool in pediatric dentistry that improves precision, effectiveness, and judgment. To maximize AI's potential in clinical practice, a thorough grasp of its function in this field is essential.

Object: The purpose of the current study was to evaluate a group of Syrian dental …

Efficiency And Clinical Outcomes Of Platelet-Rich Plasma Therapy On Canine Coxofemoral Osteoarthritis, Patama Arunrattanakul, Kumpanart Soontornvipart

The Thai Journal of Veterinary Medicine

The purpose of this study was to find out the optimal technique to prepare plasma with the highest platelet concentration in platelet rich plasma (PRP), as well as determine the result of autologous PRP from the dogs with osteoarthritis (OA) condition. It was shown that the PRP could reduce inflammation, cell regeneration and enhance angiogenesis to support the injured tissue. This study was composed of two phases; the first phase aimed to find the best centrifugation speed and time that could be able to produce the plasma with the highest platelet concentration by conducting the experiment from a total of …

Realidades De Las Organizaciones De La Sociedad Civil En México: Índice De Fomento A Las Actividades De Las Osc, Pablo Armando González Ulloa Aguirre

Journal of Nonprofit Innovation

Este artículo presenta los hallazgos derivados de la construcción de un Índice que evalúa el estado del fomento de las Organizaciones de la Sociedad Civil (OSC) en las 32 entidades federativas de México durante el año 2021. También describe los criterios considerados en la construcción del Índice y los resultados obtenidos en cada una de sus dimensiones. El Índice proporciona una perspectiva integral y multidimensional sobre el estudio del fomento a las OSC, analizando las dimensiones legal, institucional y programática con el objetivo de comparar los avances y los retrocesos en este ámbito. Al hacerlo, ofrece una oportunidad para mejorar …

Green Reconstruction In Post-Conflict Areas: Climate Change Mitigation Policy Paper, Mariya Legorycheva

COP30

This policy paper emphasizes the significance of implementing green and sustainable practices in post-conflict rebuilding. According to the tendencies of reconstruction, environmental concerns are not a priority for governments after gaining stability, which can cause unpleasant consequences, including the new rise of resource-based conflicts, the new wave of reconstruction, and vulnerability in social aspects of certain categories. The main goal of the research is to show that green rebuilding is a necessity that leads to sustainability, peace, and trust, by analyzing two opposite cases of reconstruction priorities: Colombia, as a successful one, and Iraq, as a warning one. The policy …

Drawing On Uncertainty Methodologies Of Neutrosophic Hypersoft Sets In Cognitive Computing-Driven Healthcare Systems, Mona Mohamed, Nurhan Alaa

Neutrosophic Systems with Applications

A new paradigm called cognitive computing simulates human reasoning and decision-making through integrating advanced techniques such as artificial intelligence (AI) and natural language processing (NLP). Cognitive computing systems, in contrast to traditional systems, can handle both structured and unstructured data, adjust to new information, and offer context-sensitive insights. This study examines how cognitive computing improves decision-making, personalization, and human-machine collaboration in various fields. Cognitive computing in the healthcare sector processes clinical notes, imaging data, and electronic health records to help physicians with diagnosis, treatment planning, and patient engagement. This study examines key applications, including their role in diagnostic support, where …

A Multimodal Discourse Analysis Of Visual Representation In English Language Textbooks At The Elementary Level: A Social Semiotic Perspective, Amina Bashir, Aamir Aziz, Muhammad Imran, Norah Almusharraf

Khazar Journal of Humanities and Social Sciences

Textbooks serve as a significant and comprehensive resource for language learners. This study focuses on a Multimodal Discourse Analysis of Visual Representations found in English Language Textbooks, employing a Visual Social Semiotic Perspective. Utilizing the framework established by Kress & van Leeuwen (2020), which comprises Representational, Interactional, and Compositional modes, this research investigates the multimodal elements present within these textbooks to assess their role in enhancing comprehension through visuals. Adopting a qualitative descriptive methodology, the study analyzes a purposively selected sample of 158 images from elementary school textbooks. The findings reveal a disproportionate representation of males compared to females across …

Operating Fund Budget/ Expenditure Summary Report 1st Quarter 2025-26, Csusb Budget Office

University Budget Office records

No abstract provided.

Operating Fund Budget/ Expenditure Summary Report 2025-26, Csusb Budget Office

University Budget Office records

No abstract provided.

Fundamentals Of The New Neutrosophic Matrices, Adebisi Sunday Adesina, Ogunmuyiwa Sodiq Damilola

Neutrosophic Systems with Applications

The New Neutrosophic Matrices provides a mathematical extension of classical and fuzzy matrix theory that incorporates the element of indeterminacy alongside truth and falsity. Neutrosophic logic, pioneered by FlorentinSmarandache, provides a richer framework for dealing with uncertainty and vagueness in real-world data. This study explores the definitions, classifications, and algebraic operations onneutrosophic matrices, including addition, multiplication, scalar operations, and the formation of identities.A comparative analysis is presented to highlight the distinctions between classical, fuzzy, and neutrosophic matrices. From the concepts, potential applications could be proposed most especially, for more problem solving as well as for future exploration.Findingsaffirmthat neutrosophic matrices offer …

Public Perceptions Of Universities As Public Entities During The Covid-19 Pandemic Era, Jinho Jung, Laura Barrett, Nicole Olynk Widmar, Mario Ortez

Department of Agricultural Economics Faculty Publications

Higher education institutions are facing challenges in navigating social, cultural, and political issues. The online presence of higher education presents a new set of opportunities and challenges; knowledge, news, and continuing education are increasingly disseminated online. Additionally, the public, student bodies and stakeholders are increasingly looking at reviews or seeking opinions via online and social media to form opinions on institutions. This analysis uses online and social media to analyze and compare perceptions of two public universities in Indiana, namely Purdue University and Indiana University. These two Indiana institutions are located in the same state, allowing for comparisons of public …

Observational Activation Of Anterior Cingulate Cortical Neurons Coordinates Hippocampal Replay In Social Learning, Xiang Mou, Daoyun Ji

Faculty, Staff and Students Publications

Social learning enables a subject to make decisions by observing the actions of another. How neural circuits acquire relevant information during observation to guide subsequent behavior is unknown. Utilizing an observational spatial working memory task, we show that neurons in the rat anterior cingulate cortex (ACC) associated with spatial trajectories during self-running in a maze are reactivated when observing another rat running the same maze. The observation-induced ACC activities are reduced in error trials and are correlated with activities of hippocampal place cells representing the same trajectories. The ACC activities during observation also predict subsequent hippocampal place cell activities during …

Cyp1b1 Mediates Cigarette Smoke-Induced Lipid Accumulation In Alveolar Type 2 Cells, Yin Zhu, Siddhika Gamare, Francesca Polverino, Caroline A Owen, Payaningal R Somanath, Xiaoyun Wang, Duo Zhang

Faculty, Staff and Students Publications

Alterations in lipid profiles have been shown in patients with chronic obstructive pulmonary disease (COPD), but the underlying molecular mechanisms remain unclear. In this study, we aimed to investigate the role of cytochrome P450 family-1 subfamily B member 1 (CYP1B1) in cigarette smoke (CS)-induced lipid accumulation in alveolar type II epithelial (AT2) cells. We observed a steady increase in CYP1B1 protein levels in AT2 cells from COPD patients. Additionally, CS exposure induced CYP1B1 expression in AT2 cells of murine lungs. In vitro, treatment with cigarette smoke extract (CSE) not only upregulated CYP1B1 expression but also triggered lipid accumulation in AT2-like …

Some New Three-Term Conjugate Gradient Methods For Riemannian Optimization With Application To The Gough-Stewart Platform, Nasiru Salihu, Poom Kumam, Lin Wang, Sani Salisu

Mathematical Modelling and Numerical Simulation with Applications

Three-term conjugate gradient (TTCG) methods have been extensively studied for optimization within Euclidean geometry, with some inherently satisfying the sufficient descent property, thus enhancing their theoretical superiority. However, other TTCG methods have been developed that incorporate restarting the search direction, simplify the steepest descent approach, or rely on the convexity assumptions of f to establish their convergence results. This paper introduces the Riemannian three-term conjugate gradient (RTTCG) methods. The search direction in these RTTCG methods consistently satisfies the sufficient descent condition, regardless of the line search employed, and does so without requiring a restart mechanism. By utilizing retraction and vector …

High-Order Adaptive Solutions For Coupled Fractional Riccati Equations Via Daubechies Redundant Frames, Mutaz Mohammad, Alexander Trounev

Mathematical Modelling and Numerical Simulation with Applications

Coupled fractional Riccati equations play a fundamental role in modeling complex systems with memory effects and anomalous diffusion, frequently arising in engineering, control theory, finance, and quantum mechanics. Their analytical and numerical treatment remains highly challenging due to the nonlocal nature of fractional-order derivatives and the presence of nonlinear coupling terms. This study introduces an adaptive numerical framework that combines the Caputo fractional derivative with redundant Daubechies wavelet frames. The method leverages multi-resolution analysis, compact support, and controlled redundancy to achieve accurate approximation of both localized and global solution features, particularly in scenarios characterized by singular behavior and long-range memory …

Engineered Exosomes With Krasg12d Specific Sirna In Pancreatic Cancer: A Phase I Study With Immunological Correlates, Valerie S Kalluri, Brandon G Smaglo, Krishnan K Mahadevan, Michelle L Kirtley, Kathleen M Mcandrews, Mayela Mendt, Sujuan Yang, Ana S Maldonado, Hikaru Sugimoto, Maria E Salvatierra, Luisa M Solis Soto, Cara Haymaker, Rick Finch, Mihai Gagea, Adam C Fluty, Steven J Ludtke, J Jack Lee, Abhinav K Jain, Gauri Varadhachary, Rachna T Shroff, Anirban Maitra, Elizabeth Shpall, Shubham Pant, Raghu Kalluri

Faculty, Staff and Students Publications

Oncogenic KRAS is amongst the key genetic drivers for initiation and maintenance of pancreatic ductal adenocarcinoma (PDAC). Here, we show that engineered exosomes with KrasG12D specific siRNA (iExoKrasG12D) reveal a biodistribution in pancreas with negligible toxicity in preclinical studies in mice and Rhesus macaques. Clinical testing of iExoKrasG12D in the iEXPLORE (iExoKrasG12D in Pancreatic Cancer) Phase I study employed a non-randomized single-arm classical 3 + 3 dose escalation design (Phase Ia), followed by an accelerated titration design (Phase Ib) (NCT03608631). The primary outcomes included safety, tolerability and target engagement, and the secondary outcomes aimed to assess disease control. …

Cold-Shock Protein Scaffold For Engineering Non-Antibody Binding Proteins, Jack Mathew Webster

USF Patents

Disclosed herein are compositions and methods directed to non-antibody protein scaffolds derived from cold-shock proteins.

A Study On The Prevalence And Impact Of Infectious Causes Of Abortion In Women, Shaimaa M.S. Zainulabdeen, Najee B. Haifaa, Zahraa Abd Alhammza Abbass, Iman Ali Atyah

Muthanna Medical Journal

Abortion is the termination of a pregnancy before the fetus can survive outside the uterus, either spontaneously (miscarriage) or intentionally (induced). On the other hand, induced abortions carried out for various reasons are referred to as elective abortions, whereas therapeutic abortions are performed to protect the pregnant woman's health. The gestational period is a particularly delicate time because it is characterized by major physiological changes in both the mother and the fetus. Human immunodeficiency virus (HIV), cytomegalovirus (CMV), and Toxoplasma gondii are among the pathogenic agents that have been associated with pregnancy problems, including miscarriage. About 75% of all pregnancy …

Uab Libraries Q3 2025 Employee Updates, Uab Libraries

UAB Libraries News

No abstract provided.

Long-Acting Recombinant Il-7 (Rhil-7-Hyfc) Enhances The Primary And Memory Neoantigen-Specific Immune Response To Breast Cancer Personalized Cancer Vaccines, Michael Chen, Thomas Kane, Ina Chen, Suangson Supabphol, Xiuli Zhang, Alexandra A Wolfarth, Donghoon Choi, Lijin Li, S Peter Goedegebuure, William E Gillanders

2020-Current year OA Pubs

No abstract provided.

Executive Committee - Minutes, 09/30/2025, Academic Senate

Academic Senate Minutes

No abstract provided.

The Effect Of Pesticide Exposure On Metabolic Syndrome: An Epidemiological Analysis In An Agricultural Population, Putri Arida Ipmawati, Rusmiati Rusmiati, Suharno Suharno, Tommy Denie Irianto, Alfino Validita Sidiq, Abentin Estim, Slamet Wardoyo

Media Kesehatan Masyarakat Indonesia

Metabolic syndrome, characterised by hyperglycaemia, dyslipi-daemia, hypertension, and central obesity, is a global health problem, and exposure to pesticides is an important risk factor for agricultural workers. This study aims to analyse the effects of pesticide exposure, sociodemographic factors, and Personal Protective Equipment (PPE) usage behaviour on glucose levels, HDL, and LDL in farmers in Kubu Raya District, West Kalimantan. A cross-sectional study was conducted on 60 farmers selected using stratified random sampling. Data were collected through structured interviews, fasting blood tests, and analysed using the chi-square test with a significance level of 95%. The results showed a high prevalence …

Thermoneutrality Does Not Affect Angiotensin Ii–Induced Aortic Aneurysms In Hypercholesterolemic Mice, Liyuan Zhu, Bowen Li, Michael K. Franklin, Deborah A. Howatt, Yuriko Katsumata, Alan Daugherty, Hong S. Lu

Physiology Faculty Publications

No abstract provided.

Conference Proceedings: Select Abstracts Presented At The 2025 Advocate Aurora Scientific Day, Advocate Aurora Scientific Day

Journal of Patient-Centered Research and Reviews

This abstract supplement includes findings presented through oral or poster presentations at the 51st annual Scientific Day event held on May 21, 2025. Scientific Day provides both an in-person and virtual forum for the sharing of research, quality improvement, and case studies conducted by Illinois- and Wisconsin-based faculty, fellows, residents, and other health professionals associated with Advocate Health.

The Consideration Of Two Scalarization Methods For The Multi-Objective Nurse-To-Patient Assignment Problem, Ilgın Acar, Steven E. Butt, Aydın Sipahioğlu, İslam Altın

Mathematical Modelling and Numerical Simulation with Applications

In this research, the application of two scalarization methods, namely the conic scalarization method and the $\varepsilon$-constraint method, is investigated within the context of a multi-objective optimization problem. These methods are used to address the challenge of assigning nurses to patients on a hospital unit during a shift. The two objective functions of this assignment problem are based on patient workload metrics and unit-related travel distance measures. The proposed solution approach demonstrates the ability to generate solutions that eluded the previous mathematical programming techniques that relied on simplistic weightings of conflicting objective functions. In addition, it is found that the …

Global Stability And Bifurcation Analysis Of A Predator-Prey Model Involving Allee Effect And Monod-Haldane Functional Response, Resmawan Resmawan, Agus Suryanto, Isnani Darti, Hasan S. Panigoro

Mathematical Modelling and Numerical Simulation with Applications

In this paper, the complexity of the dynamic behavior of the interaction between prey and predator is studied. The predator-prey relationship involves Allee effects and Monod-Haldane functional response. The constructed model has been shown to have validity in several respects, including the existence and uniqueness of the solution, as well as its non-negativity and boundedness. Three equilibrium points, namely trivial, axial, and coexistence points, are found, including their global dynamics using the Lyapunov function together with the LaSalle's invariance principle. The effect of the predation conversion rate causes changes in the dynamic behavior of predators and prey, which is characterized …

Solution Of Fractional Order Diffusion Equations With Clique Neural Network, Merve Zeynep Kaya, Mesut Karabacak, Ercan Çelik

Mathematical Modelling and Numerical Simulation with Applications

In this paper, the clique artificial neural network method is used to solve the fractional diffusion equation, which is a subclass of partial differential equations. The clique neural network architecture is constructed using input, hidden, and output layers. Several degrees of clique polynomials were used as activation functions, and the output layer was obtained by multiplying them with weight coefficients. Subsequently, the optimization equation was derived, and the exact solution, numerical solution, and error function graphs were obtained using a specialized algorithm. Analysis of the results demonstrates that the clique artificial neural network method provides quicker and more accurate results …

Synergistic Modeling Of Hydrogel Gelation Via Time-Delay Dynamics And Machine Learning Algorithms, Mine Babaoglu, Dipesh ., Pankaj Kumar, Jagjit Singh Dhatterwal, Mansoor Alsulami

Mathematical Modelling and Numerical Simulation with Applications

This paper presents an integrated framework in which delay differential equation (DDE) modeling and machine learning (ML) approaches are coupled to study hydrogel formation kinetics, with emphasis on delayed crosslinker addition. Conventional mechanistic models disclose many physical and kinetic complexities of reacting mixtures; they seldom depict the nonlinear and time-evolving complexities inherent in developing polymer networks. To address this, a mathematical model is developed that examines how the insertion of crosslinkers affects system stability and equilibrium. Analytical and numerical results show that delays nearing critical levels cause bifurcation behavior with substantial implications on gelation kinetics. Sophisticated machine learning systems, including …

Ketorolac Use Following Operative Clavicle Fracture Fixation Is Not Associated With Increased Nonunion Or Surgical Complications: A Propensity-Matched Analysis, Tuckerman Jones, Tej Joshi, Akhil Katakam, Daniella Ogilvie, Sefy Paulose, Balazs Galdi

Wills Eye Hospital Papers

OBJECTIVES: Nonsteroidal anti-inflammatory drugs (NSAIDs), including ketorolac, are commonly used for postoperative pain management. Concerns about their potential impact on bone healing have been raised. This study investigated the relationship between ketorolac use and postoperative complications following clavicle surgery, including nonunion rates.

METHODS: This retrospective cohort study used the TriNetX Research Database to identify patients who underwent surgical fixation of clavicle fractures between 2002 and 2022. Two propensity-matched cohorts were created: patients who received postoperative ketorolac and those who did not. Primary outcomes included nonunion diagnosis and revision surgery; secondary outcomes included opioid use, wound disruption, surgical site infection, and …