Digital Commons Network^™

The Role Of Peer Networks In Elementary Teacher Preparation Programs, Bayan Alnaim

USF Tampa Graduate Theses and Dissertations

This research provided insight into how peer networks related to the professional learning of TC as they moved through an elementary teacher preparation program. These formal and informal peer networks helped nurture collegiality among TCs to aid learning and provide emotional support, which allowed an edge toward forming an identity. This study examined the particular role of teacher networks in TCs’ learning (Al Sultan, 2021; Anderson et al., 2022). The study applied Social Constructivism and Communities of Practice frameworks to analyze the influence of peer networks on the development of teaching skills and professional identities. Data from TCs participating in …

How Does County Industry Mix Matter For Working-Age Mortality?, Xue Zhang, Iliya Gutin, Shannon M. Monnat, Jennifer Karas Montez

Population Health Research Brief Series

The types of industries that dominate employment in a county shape the health of the entire community, even for people who don't work in those sectors. This brief summarizes findings of a study that examined how five major employment sectors—agriculture, manufacturing, mining and construction, services, and professional services—were associated with overall county-level mortality rates and with mortality from drug overdoses, suicides, alcohol-related causes, and cardiometabolic disease among U.S. adults ages 25-64 from 2000 to 2022 Data are from the National Vital Statistics System and County Business Patterns. Findings show that the effects of local industries shift vary across time and …

Invisible Print? Reading Skill Predicts Children's Learning Of Novel Spoken Words, Taylor J. Bryant, Dawna Duff, Bethany Bell, Lisa Fitton, Suzanne M. Adlof

Faculty Publications

Research indicates that when literate children and adults hear a new word that they have never seen in print, they create an expectation for how the word may be spelled. However, studies have not yet examined the extent to which orthographic knowledge plays a role in children's spoken vocabulary learning when words are taught without print. The current study used structural equation modelling to examine the relation between children's word reading ability and their ability to learn novel words from spoken instruction. Children (N = 335; 7–9 years; 52% female; <  1% American Indian/Alaskan Native, 33% Black, 1% Multiracial, <  1% Native Hawaiian or Pacific Islander, 2% Other; 57% White; 6% did not report race; 2% Hispanic/Latino, 97% Not Hispanic/Latino; <  1% did not report ethnicity) completed norm-referenced language and reading assessments and experimental measures of spoken word learning. Word reading ability and vocabulary knowledge uniquely predicted spoken word learning with respective medium-small and medium-large effects after controlling for phonological memory, general language ability, and nonverbal cognition. Thus, orthographic skill has important effects on vocabulary learning, unaccounted for in previous research, that should be addressed in current theory and practice.

A New Scheme For Simple Asymmetric Bivariate Copulas And Applications, Rachid Bentoumi, Farid El Ktaibi, Christophe Chesneau

All Works

Bivariate copulas play a central role in modeling the dependence structure between two random variables and serve as a fundamental tool in various applied fields. In this article, we develop a new theoretical framework aimed at constructing simple asymmetric bivariate copulas of the form C(u, v) = uv [ϕ(v) + u(1 − ϕ(v))^], (u, v) ∈ [0, 1]². This framework relies on a tuning univariate function to achieve the desired asymmetry. We study this pioneering scheme, emphasizing its theoretical foundations, and illustrating it with several examples. More precisely, we establish important properties of the proposed copulas …

Glp-1 Receptor Agonist Use And Risk Of Gastric Cancer: A Population-Based Retrospective Cohort Study, Muaz Alsabbagh, Khaled Alsabbagh Alchirazi, Kinan Obeidat, Moath Albliwi, Ahmed N. Mohamed, Nour Azzouz, Nadia Huq

Aurora GME

No abstract provided.

Language And Health Disparities: Examining Colorectal Cancer Risk And Colonoscopy Utilization In Non-English Vs English-Speaking Populations, Khaled Alsabbagh Alchirazi, Nour Azzouz, Tarek Sawas, Ahmed Telbany, Ahmad Mardini

Aurora GME

No abstract provided.

Impact Of Transplant Conditioning, Npm1 Mutations, And Measurable Residual Disease In Flt3-Itd Acute Myeloid Leukemia, Mark J Levis, Geoffrey L Uy, Et Al.

2020-Current year OA Pubs

We conducted a post hoc analysis of data from Blood and Marrow Transplant Clinical Trials Network 1506 (MORPHO), a randomized trial of gilteritinib vs placebo as posttransplantation maintenance for patients with FLT3-ITD-mutated acute myeloid leukemia (AML) undergoing allogeneic hematopoietic cell transplantation (HCT), focusing the interactions between conditioning regimen intensity, measurable residual disease (MRD), and NPM1 comutation status reported from diagnosis. Comparing FLT3-ITD MRD before and after conditioning, there was no difference between myeloablative conditioning (MAC) and reduced-intensity conditioning (RIC) in eradication or reduction of FLT3-ITD MRD. For participants who were FLT3-ITD MRD negative before HCT, there was no difference in …

Center For Participatory Research Leads National Efforts In Community-Based Research, Dustin Roberto

HSC Newsroom

Nina Wallerstein, DrPH, is a Distinguished Professor of Public Health and director of the Center for Participatory Research at the University of New Mexico. She has spent more than four decades shifting health research toward community-based participatory research (CBPR). Her work emphasizes partnerships in which communities guide research priorities and retain ownership of findings.The center's work spans Indigenous health, including culturally centered family programs, CBPR, youth participatory action research and co-learning initiatives.

Chronic Crohn’S Stricture: A Hotbed For Obstructing Fecaliths, Khaled Alsabbagh Alchirazi, Nishkarsh Kumar, Sahibzada Usman Latif

Aurora GME

No abstract provided.

Iron Gastropathy: When The Cure Becomes The Culprit, Khaled Alsabbagh Alchirazi, Nishkarsh Kumar, Suzanna Logan, Tarun Sharma

Aurora GME

No abstract provided.

Perioperative Benefits Of Dexmedetomidine As An Antiarrhythmic Agent In Noncardiac Surgical Patients: A Case Report, Sara Jaison, Kusuma Halemani

Sultan Qaboos University Medical Journal

Dexmedetomidine (DEX), a selective α2-adrenergic receptor agonist, has gained recognition for its sedative, anxiolytic, and sympatholytic properties, making it a valuable perioperative agent. This report describes the anaesthetic management of an elderly 75-year-old male patient with septic shock, multi-organ dysfunction, delirium and significant ventricular arrhythmias who presented in 2025 to a tertiary care teaching hospital in Oman and was scheduled for an emergency below-knee amputation. DEX was utilised for intraoperative sedation and its antiarrhythmic effects. Traditional sedatives often exacerbate delirium or pose cardiorespiratory risks; however, DEX provides effective sedation while preserving respiratory function and promoting haemodynamic stability. Notably, its …

Cover And Contents

Turkish Journal of Biology

No abstract provided.

Microplastic Pollution In Marine Ecosystems: Sources, Impacts, Andstakeholder-Based Solutions, Seren Acarer Arat

Turkish Journal of Biology

Microplastics (MPs) are plastic particles of anthropogenic origin with a size range of 1–5000 μm. Marine MP pollution is increasingly recognized as a significant global environmental challenge. MPs, which enter marine ecosystems from land- and marine-based sources, pose physical, chemical, and biological risks due to the adsorption of various pollutants and the formation of biofilm layers. MPs are found in various organisms from lower to higher trophic levels of the marine food web. The negative effects of MPs on marine organisms depend on their abundance, their characteristics, and the exposure time of organisms to MPs. MPs can adversely affect various …

Application Of Biological And Green Nanomaterials In Wastewater Treatment: Techniques For The Effective Removal Of Dyes, Heavy Metals, And Organic Pollutants, Emi̇ne Sena Kazan Kaya, Zeynep Ci̇ğeroğlu, Tansel Kemerli̇ Kalbaran, Başak Temur Ergan, Zeynep Mi̇ne Şenol, Meral Yildirim Yalçin

Turkish Journal of Biology

Background/aim: Wastewater from industrial, agricultural, and residential sources poses significant environmental and public health risks due to the presence of dyes, heavy metals, and organic pollutants. Conventional treatment methods are often inadequate for the complete removal of these pollutants. Therefore, the development of sustainable, environmentally friendly, and highly efficient treatment techniques has become increasingly important. The aim of this review is to evaluate the application of biological and green nanomaterials in wastewater treatment and to compare their effectiveness against different types of pollutants (dyes, heavy metals, and organics).

Materials and methods: This review provides detailed information on the removal of …

A Review Of Deep Learning Architectures For Plant Disease Detection​, Yasi̇n Kaya, Ercan Gürsoy

Turkish Journal of Biology

Background/aim: The rapid advancement of deep learning (DL) has revolutionized plant disease detection by enabling highly accurate, image-based diagnostic solutions. This review provides a comprehensive synthesis of DL-based methodologies for plant disease detection, systematically structured around the key stages of the modeling pipeline, encompassing data acquisition, preprocessing, augmentation, classification, detection, segmentation, and deployment.

Materials and methods: The review focuses on evaluating convolutional neural network (CNN) architectures such as VGG, ResNet, EfficientNet, and DenseNet across diverse experimental contexts. Classification strategies are categorized according to their integration of visualization techniques (e.g., saliency maps, Grad-CAM) to enhance model interpretability, emphasizing the pivotal role …

Green Carbon Dots In The Era Of Ai: Sustainable Synthesis, Intelligent Drug Delivery, Advanced Diagnostics, And Bioimaging, Emi̇ne Sezer, Fulden Ulucan Karnak, Si̇nan Akgöl

Turkish Journal of Biology

Background/aim: Green carbon dots (GCDs) are a rapidly developing class of nanomaterials that are revolutionizing various scientific disciplines due to their unique optical properties, low toxicity, and sustainable synthesis. This review offers a comprehensive roadmap for the field, emphasizing the synergy between GCDs and artificial intelligence (AI).

Materials and methods: We begin by detailing the sustainable synthesis of GCDs, highlighting green chemistry principles and the transformative role of AI in optimizing their production. Subsequently, we explore the critical characterization of GCDs, including their structural, optical, and biocompatibility assessment. The core of this study explores the diverse biomedical applications of GCDs, …

Applications Of Transfer Learning In Sunflower Disease Detection: Advances, Challenges, And Future Directions, Yonis Gulzar

Turkish Journal of Biology

Background/aim: Sunflower (Helianthus annuus) is a crop of high economic and nutritional importance that continues to suffer significant yield losses due to foliar diseases. Traditional image-based and laboratory detection techniques remain limited by subjectivity, cost, and scalability. Transfer learning (TL) has recently emerged as an effective approach to overcoming these challenges involving the reuse of pretrained deep models for plant pathology tasks. Presented here is a systematic examination of recent TL-based studies on sunflower disease classification to identify prevailing trends, research gaps, and future opportunities.

Materials and methods: A structured Scopus query was employed to retrieve peer-reviewed articles published between …

Flavonoids And Phenolic Compounds: A Promising Avenue For Neurodegenerative Disease Therapy, Tesli̇me Özge Şahi̇n, Özge Cemali̇, Merve Özdemi̇r, Şeri̇fe Ayten, Duygu Ağagündüz

Turkish Journal of Biology

Background/aim: Neurodegenerative diseases such as Alzheimer’s, Parkinson’s, Huntington’s, and ALS are characterized by a progressive loss of nerve cells, for which no definitive cure currently exists. These conditions share common pathological mechanisms, including chronic neuroinflammation, oxidative stress, protein aggregation, and mitochondrial dysfunction. Flavonoids and other plant-derived phenolic compounds have recently attracted attention for the treatment of such conditions due to their antiinflammatory and antioxidant properties. This review explores the neuroprotective mechanisms of flavonoids and evaluates their potential for the prevention and treatment of neurodegenerative diseases.

Materials and methods: A literature search of the Web of Science, PubMed, and ScienceDirect databases …

Cover And Contents

Turkish Journal of Biology

No abstract provided.

The Effects Of The Combined Use Of Carbon Quantum Dots And Antibacterial Agents On Pathogenic Bacteria, Derya Doğanay, İbrahi̇m Serkan Avşar, Şevval Maral Özcan Aykol, Gamze Çamlik, Besa Bi̇lakaya, İsmai̇l Tuncer Deği̇m

Turkish Journal of Biology

Background/aim: This study evaluates the challenges associated with overcoming antimicrobial resistance and innovative approaches to combat multidrug-resistant (MDR) bacterial infections.

Materials and methods: Novel codoped carbon quantum dots (CCQDs) were synthesized using citric acid as the carbon source and L-cysteine as the nitrogen codoping atom. The formulation in which citric acid was retained was designated as CCQDs-1, whereas the purified version, from which citric acid was removed, was termed CCQDs-2. The antibacterial properties of CCQDs-1 and CCQDs-2 were compared using the agar well diffusion method. This study comprehensively characterizes these nanomaterials and evaluates their antibacterial potential, both alone and in …

Applying Global Evidence To Foster Young People’S Thriving In The Us: A Framework For Action, Miriam Temin, Sanyukta Mathur

Adolescents and Young People

This blog post originally appeared on the Population Council’s website in October 2025.

Exploring Definitions And Frameworks Of Information Diplomacy: A Scoping Review Protocol, Bethany S. Mcgowan, Tuomas Harviainen

Libraries Faculty and Staff Scholarship and Research

Information diplomacy is an emerging concept that bridges information science, public diplomacy, and global communication. Although increasingly cited in scholarly and policy discourse, the term lacks definitional clarity and theoretical consensus. A systematic mapping of its explicit usage across disciplines is needed to support conceptual coherence and guide future applications.

This scoping review aims to identify, analyze, and synthesize existing definitions, frameworks, and applications of the term information diplomacy in scholarly and gray literature. The review will explore how the concept has been articulated across domains such as international relations, information policy, and communication, focusing exclusively on sources that explicitly …

Guided By Culture, Fueled By Goals: Evaluating The Patnubay Sa Pagtatagumpay Mentorship Journey, Priscilla L. Sagar, Mary Dioise Ramos, Mizpah Amados, Gloria Lamela Beriones, Warly Remegio, Marlon Garzo Saria, Lorraine Evangelista

School of Nursing Faculty Publications

Effective mentorship is fundamental to professional development in nursing; however, there are limited initiatives that cater to the unique cultural and contextual needs of Filipino American nurses. To bridge this gap, the Philippine Nurses Association of America launched its Patnubay sa Pagtatagumpay Program (P3). This innovative initiative offers a culturally tailored approach to mentorship, incorporating features such as mentor-mentee pairings, structured goal setting, and year-long cohort support. This paper evaluates the effectiveness of the P3 program, with initial outcomes indicating high overall satisfaction from both participants. By demonstrating that culturally focused mentorship can effectively meet the specific needs of a …

Navigating Solo Librarianship In A Health Sciences Setting, Emily Roberts

Posters and Presentations

Solo librarianship can be both rewarding and isolating, especially in a specialized health sciences environment where the librarian is responsible for a full spectrum of services.  I will discuss my experiences of solo librarianship at one of only a handful of special libraries dedicated to developmental disabilities in the United States. This unique setting required balancing niche subject expertise, information literacy instruction, and user advocacy, all while navigating limited resources and institutional visibility.

I will discuss the importance of leveraging cross-departmental relationships, partnering with broader library networks, and explore how to advocate for library services in a clinical and research-focused …

Dramatic Biases In Terrestrial Nitrogen Fixation In Earth System Models Revealed By Natural Isotope Signatures, Maoyuan Fang, Shushi Peng, Philippe Ciais, Daniel S. Goll, Benjamin Z. Houlton, Ying-Ping Wang, Yilong Wang, Pan Liu, Joshua B. Fisher, Pierre Regnier

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Biological nitrogen fixation (BNF) is the primary input of new reactive nitrogen to natural terrestrial ecosystems. However, this flux is poorly constrained due to its unclear drivers and associated control mechanisms. Here, we extend the existing theory of nitrogen (N) isotope mass balance to estimate BNF rates and then use a Bayesian approach to constrain the BNF rates in natural terrestrial ecosystems by using measurements of natural N-isotope ratios (δ¹⁵N) in plants (δ_P) and soil (δ_S). Together with pairwise δ_P and δ_S measurements from 18 forest sites covering diverse climates and thousands …

Uncertainty Evaluation For Fluoride Content Determination In Brick Tea By Fluoride-Ion Selective Electrode Method, Tan Xin, Tang Jing, Liu Zhongying, Hua Ping

Food and Machinery

[Objective] To improve the detection result accuracy of the fluoride content of brick tea. [Methods] Brick tea is taken as the research object to evaluate the uncertainty of the fluorine content of brick tea by the fluoride ion-selective electrode method according to GB 19965—2005 "Fluorine content of brick tea", CNAS-GL006 "Guide on Quantifying Uncertainty in Chemical Analysis", and JJF 10591—2012 "Evaluation and Expression of Uncertainty in Measurement". [Results] Under the 95% confidence interval, the fluoride content in brick tea is (281±17) mg/kg, k=2. [Conclusion] In fluorine content determination by the fluoride ion-selective electrode method, the primary source of uncertainty is …

Ameliorating Effect Of Haematococcus Pluvialis Powder On Lps-Induced Barrier Damage In Hok Cells, Xie Jinmei, Chen Cailian, Zhang Yong, Zheng Yunjian, Xie Xi

Food and Machinery

[Objective] To investigate the protective effect of Haematococcus pluvialis (H.pluvialis) powder on lipopolysaccharide (LPS)-induced oral epithelial damage. [Methods] The effects of different doses of H.pluvialis on the viability of human oral keratinocytes (HOKs) were assessed. In LPS-induced HOKs, changes in the tight junction-associated proteins ZO-1 and Occludin, mitochondrial morphology, reactive oxygen species (ROS), mitochondrial membrane potential (MMP), mitochondrial superoxide (MitoSOX), and mitochondrial permeability transition pore (MPTP) were evaluated. [Results] Compared with the LPS model group, high-dose H.pluvialis significantly upregulated the expression levels of Occludin and ZO-1 to 151.56% and 170.52%, respectively (P < 0.05), and promoted their membrane localization. In addition, H.pluvialis markedly improved LPS-induced excessive ROS and MitoSOX production, the reduction in MMP, and the increase in MPTP in HOKs. [Conclusion] H.pluvialis may alleviate LPS-induced barrier damage in HOKs by improving mitochondrial dysfunction and reducing oxidative stress, suggesting its potential as a functional food for oral mucosal barrier repair.

Extraction And Antioxidant Activity Evaluation Of Functional Peptides In Hongjun Tofu, Feng Yueqing, Xia Min, Lin Xiaoyu, Liang Tingyu, Liu Guo, Qiu Yuanxin

Food and Machinery

[Objective] To investigate the properties of functional peptides in Hongjun Tofu. [Methods] Functional peptides were extracted from Hongjun Tofu by ultrasound-assisted water extraction. The crude peptide content was used as the evaluation index to investigate the effects of extraction time, pH, extraction temperature, and solid-liquid ratio on peptide extraction. Single-factor and orthogonal experiments were designed to optimize the extraction process, and the antioxidant activity of the obtained functional peptides was evaluated. [Results] The optimal extraction conditions were 35 minutes extraction time, 55 ℃ extraction temperature, pH 11, and a solid-liquid ratio of 1∶40 (g/mL). Under these conditions, the crude peptide …

Research Progress On Active Ingredients And Functions Of Hericium Erinaceus, Wang Kaixuan, Lin Junfang, Guo Liqiong, Zhou Fenglong, Wang Na, Zhong Jingru

Food and Machinery

Hericium erinaceus has a long history in China as a medicinal and edible fungus. With delicious tastes, it also contains various active ingredients. In the current era of increasing emphasis on dietary health, Hericium erinaceus can be an ideal choice for a balanced diet. Based on previous research, this paper comprehensively summarizes the active ingredients contained in Hericium erinaceus, including terpenes, ketones, ergothioneine, and polysaccharides. The specific types and different active functions of corresponding ingredients are elaborated, while the prospect is also given on the future development of active ingredients.

Lung Cancer Classification With High Accuracy Based On Enhanced K- Nearest Neighbor Algorithm, Ahmed Subhi Abdalkafor, Ali Azawii Abdul Lateef

Baghdad Science Journal

Lung diseases have newly increased, with lung cancer being the most serious, as a result of the widespread use of electronic cigarettes and the high demand for them among youth. Misdiagnosis of this disease has resulted in a high death rate around the world, which further complicates matters. So the researchers have tended to concentrate on and study this illness. After extracting the crucial characteristics for this cancer's classification, several studies implemented multiple artificial intelligence algorithms with different techniques, nonetheless, the primary difference between those studies persisted in the classification accuracy. In this paper, after selecting the methods of pre-processing …