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Articles 91 - 120 of 10239
Full-Text Articles in Entire DC Network
Healthy Places Healthy People Toolkit: A Resource For The Navajo Nation, Sally Davis, Elijah Maas
Healthy Places Healthy People Toolkit: A Resource For The Navajo Nation, Sally Davis, Elijah Maas
Healthy Places, Healthy People Toolkit
The University of New Mexico’s Prevention Research Center (UNM PRC) developed an evidence-based model to increase physical activity in rural communities in NM. Starting in the small, rural town of Cuba, NM, the model was expanded to other rural communities. Given the success of the model, the PRC was invited to partner with 10 Navajo Chapters (communities) in the Eastern Agency of the Navajo Nation, with funding from the Centers for Disease Control and Prevention (CDC). Together, they engaged in a project called Healthy Places— Healthy People.
Solving Data Mining Challenges In Neutrosophic Environments Using Bio-Inspired Optimization Techniques, Samia Mandour, Abduallah Gamal, Mohamed Belal
Solving Data Mining Challenges In Neutrosophic Environments Using Bio-Inspired Optimization Techniques, Samia Mandour, Abduallah Gamal, Mohamed Belal
Neutrosophic Sets and Systems
No abstract provided.
Neutrosophic Super-Hypergraph Fusion For Proactive Cyberattack Countermeasures: A Soft Computing Framework, Ehab Roshdy, Marwa Khashaba, Mariam Emad Ahmed Ali
Neutrosophic Super-Hypergraph Fusion For Proactive Cyberattack Countermeasures: A Soft Computing Framework, Ehab Roshdy, Marwa Khashaba, Mariam Emad Ahmed Ali
Neutrosophic Sets and Systems
No abstract provided.
On Performance Analysis Of A Neutrosophic Bipolar Fuzzy And Texture-Based Model For Covid-19 Detection From Chest X-Rays, Sanjayprabu S, Senthil Kumar L, Santhakumari R, Mareeswari R, Ajithkumar R
On Performance Analysis Of A Neutrosophic Bipolar Fuzzy And Texture-Based Model For Covid-19 Detection From Chest X-Rays, Sanjayprabu S, Senthil Kumar L, Santhakumari R, Mareeswari R, Ajithkumar R
Neutrosophic Sets and Systems
No abstract provided.
Neutrosophic-Based Feature Set (Nbfs) For Brain Tumor Detection Using Glcm Features And Knn Classifier On Mri Images, S. Gowri, V. M. Vijayalakshmi
Neutrosophic-Based Feature Set (Nbfs) For Brain Tumor Detection Using Glcm Features And Knn Classifier On Mri Images, S. Gowri, V. M. Vijayalakshmi
Neutrosophic Sets and Systems
No abstract provided.
Neutrosophic‑Enhanced Cephalometric Analysis With Improved Diagnostic Accuracy For Egyptian Population, Nagham Ahmed Abdelmegeed, Amal F. Abdel-Gawad
Neutrosophic‑Enhanced Cephalometric Analysis With Improved Diagnostic Accuracy For Egyptian Population, Nagham Ahmed Abdelmegeed, Amal F. Abdel-Gawad
Neutrosophic Sets and Systems
No abstract provided.
An Intelligent Soft Computing-Oriented Strategy For Managing Global Sustainability Issues In Dynamic Environments, Walaa M. Sabry
An Intelligent Soft Computing-Oriented Strategy For Managing Global Sustainability Issues In Dynamic Environments, Walaa M. Sabry
Neutrosophic Sets and Systems
No abstract provided.
Neutrosophic State Learning For High-Stakes Systems Using A Dynamic Triplet Model Of Support Contradiction And Uncertainty, Alaa Hassan And, Reda Ahmed
Neutrosophic State Learning For High-Stakes Systems Using A Dynamic Triplet Model Of Support Contradiction And Uncertainty, Alaa Hassan And, Reda Ahmed
Neutrosophic Sets and Systems
No abstract provided.
Implementation Of Neutrosophic Logic For Food Security And Agricultural Productivity Analysis In South Asian Countries, Muhammad Yaseen, Korntima Phattanasin, Jamil Afzal, Muhammad Afzal
Implementation Of Neutrosophic Logic For Food Security And Agricultural Productivity Analysis In South Asian Countries, Muhammad Yaseen, Korntima Phattanasin, Jamil Afzal, Muhammad Afzal
Neutrosophic Sets and Systems
No abstract provided.
Integrating Traditional Diagnostics Methods Through Neutrosophic Set Based Cancer Analysis Using Machine Learning Techniques, P. Tharaniya, M. Raji, R. Rajalakshmi, Surapati Pramanik, R. Balapriya, M. Gayathri Lakshmi
Integrating Traditional Diagnostics Methods Through Neutrosophic Set Based Cancer Analysis Using Machine Learning Techniques, P. Tharaniya, M. Raji, R. Rajalakshmi, Surapati Pramanik, R. Balapriya, M. Gayathri Lakshmi
Neutrosophic Sets and Systems
No abstract provided.
A Neutrosophic Fisher-Copula For Commercial Value Evaluation Of Green Biotechnology: Integrating Ecological Monitoring And Economic Benefits, Hongxia Lei
Neutrosophic Sets and Systems
No abstract provided.
A Decision-Making Model For The Travelling Salesman Problem Based On Neutrosophic Edge Connectivity, Aparna Tripathy, Amaresh Chandra Panda, Siva Prasad Behera, Prasanta Raut
A Decision-Making Model For The Travelling Salesman Problem Based On Neutrosophic Edge Connectivity, Aparna Tripathy, Amaresh Chandra Panda, Siva Prasad Behera, Prasanta Raut
Neutrosophic Sets and Systems
No abstract provided.
A Neutrosophic Event-Indexed Framework For Evaluating Sports Classroom Teaching Effectiveness Based On Big Data And Artificial Intelligence, Shihao Wang
Neutrosophic Sets and Systems
No abstract provided.
Neutrosophic Sets And Systems, Vol. 93, 2025, Florentin Smarandache, Mohamed Abdel-Basset, Maikel. Leyva Vazquez
Neutrosophic Sets And Systems, Vol. 93, 2025, Florentin Smarandache, Mohamed Abdel-Basset, Maikel. Leyva Vazquez
Neutrosophic Sets and Systems
No abstract provided.
Synteny To Snps: Comparative And Population Genomics Of Endemic Gila River Fishes, Alexander C. Cameron
Synteny To Snps: Comparative And Population Genomics Of Endemic Gila River Fishes, Alexander C. Cameron
Biology ETDs
Population genomic data are becoming an essential component of the best available science used by conservation professionals to make management decisions to preserve biodiversity in a rapidly changing world. The proliferation of high-throughput sequencing technologies has made generating genome scale data feasible for non-model organisms that are of conservation concern. In addition to applicability in conservation science, genomic data enable the exploration of basic questions related to species evolution. To that end, this body of research exemplifies the applied and basic utility of genomic data and is focused on two federally-protected minnows endemic to the Gila River basin, Loach Minnow …
Soil Fertility Forecasting With Neutrosophic-Based Uncertainty Management, Franklin Parrales-Bravo, Roberto Tolozano-Benites, Dayron Rumbaut-Rangel
Soil Fertility Forecasting With Neutrosophic-Based Uncertainty Management, Franklin Parrales-Bravo, Roberto Tolozano-Benites, Dayron Rumbaut-Rangel
Neutrosophic Sets and Systems
This study presents a machine learning framework that combines Random Forest classification with neutrosophic logic to predict soil fertility from 16 physicochemical properties. The model achieves robust classification accuracy (95%) while introducing a novel uncertainty quantification mechanism through neutrosophic truth (T ), indeterminacy (I) and falsity (F ) values derived from prediction probabilities, assigning high-confidence (T = 0.9) to probabilities ≥0.9, indeterminacy (I = 0.3) to borderline cases (0.5≤p
A Neutrosophic Random Forest Approach For Preeclamptic Risk Prediction With Uncertainty Quantification, Franklin Parrales-Bravo, Rosangela Caicedo-Quiroz, Lorenzo Cevallos-Torres, Leonel Vasquez-Cevallos, Dayron Rumbaut-Rangel
A Neutrosophic Random Forest Approach For Preeclamptic Risk Prediction With Uncertainty Quantification, Franklin Parrales-Bravo, Rosangela Caicedo-Quiroz, Lorenzo Cevallos-Torres, Leonel Vasquez-Cevallos, Dayron Rumbaut-Rangel
Neutrosophic Sets and Systems
This study presents a novel integration of Random Forest with neutrosophic logic to improve preeclampsia risk prediction while quantifying prediction uncertainty. Using clinical data from 352 patients, the model achieved 72.73% accuracy with high sensitivity (0.898) in identifying control cases, though with lower specificity (0.235) for preeclampsia detection. Key predictors identified were birthweight and hypertension his- tory, aligning with clinical knowledge. The neutrosophic framework successfully categorized predictions into truth (T), indeterminacy (I), and falsity (F) components, revealing that 90% confidence predictions showed T = 0.9 while uncertain cases (0.5 ≤ p < 0.9) demonstrated elevated indeterminacy (I = 0.3). The main contributions include: 1) an interpretable uncertainty quantification method for clinical predictions, 2) validation of key risk factors through feature importance analysis, and 3) a practical framework for identifying cases requiring additional clinical evaluation. This approach demonstrates significant potential for enhancing decision-making in maternal healthcare.
Neutrosophic Plithogenic Hypotheses On Bacterial Resistance To Conventional And Laser-Assisted Treatments, Emma Arroyo Lalama, Edison Haro Pujos
Neutrosophic Plithogenic Hypotheses On Bacterial Resistance To Conventional And Laser-Assisted Treatments, Emma Arroyo Lalama, Edison Haro Pujos
Neutrosophic Sets and Systems
Enterococcus faecalis is a common endodontic pathogen that causes unsuccessful treatments because standard methods of debridement cannot remove it from the root canal system. Methods of debridement are effective relative to debriding multifactorial bacterial biofilms in apical pathogens. Therefore, neutrosophic plithogenic hypotheses are proposed to measure the uncertainty and variability of the bacterial response. Therefore, this work attempted to determine the impact of laser treatment (diode and Er:YAG) as an adjunct agent relative to and in conjunction with traditional irrigants in the reduction of E. faecalis. The diode and Er:YAG laser support increased disinfection efficacy over standard irrigants as they …
Triadic Dynamics Of Clinical Decisions In Apical Surgery Based On Neutrosophic N-Alectic, Emma Arroyo Lalama, Edison Haro Pujos
Triadic Dynamics Of Clinical Decisions In Apical Surgery Based On Neutrosophic N-Alectic, Emma Arroyo Lalama, Edison Haro Pujos
Neutrosophic Sets and Systems
This study explored the creation of a clinical decision-making model in apical surgery via Neutrosophic N-Alectic, blending affirmative (operate), negative (observe), and neutral (retry conventional endodontics) based on equivocal findings to offer potential solutions to the presentation of periapical lesions. The methodology consisted of dialectic considerations of previous surgeries retrospectively, meaning attributable elements such as lesion severity and response to previous treatment were assessed via a neutrosophic approach to assess the degree of truth, degree of falsity and degree of indeterminacy across all treatment options. The main findings are the neutrosophic model assists in determining the best decisions based on …
Intercultural Education From Ancestral Logic: Application Of The Ayni Method Multi-Neutrosophic To Strengthen Mixed Methodology In The Waorani Community, Johanna Estefanía Calle Imbaquingo, Karen Milagros Díaz Salambay, Jordy Alexis Vargas Yumbo, Kevin Christopher Carrasco Azogue, Otto F. Von Feigenblatt
Intercultural Education From Ancestral Logic: Application Of The Ayni Method Multi-Neutrosophic To Strengthen Mixed Methodology In The Waorani Community, Johanna Estefanía Calle Imbaquingo, Karen Milagros Díaz Salambay, Jordy Alexis Vargas Yumbo, Kevin Christopher Carrasco Azogue, Otto F. Von Feigenblatt
Neutrosophic Sets and Systems
Research aimed at determining the Ayni method Multi-Neutrosophic by which a successful blended learning experience enhances multicultural education respecting Ancestral Logic of the Waoranis to create a hybridization of Ancestral Logic and institutional and classroom learning to preserve their cultural identity. A qualitative descriptive-legal research approach was utilized. The results of the documentary analysis included requirements from Ecuador (Constitution, ILO Convention 169) and semi-structured interviews with Waorani leaders and teachers, Triangulation through participant observation of the educational activities taught in the Waorani community. The Ayni method Multi-Neutrosophic was cultural reciprocity and neutrality established through indeterminacies in the blended Ancestral teachings …
Hyperbolic Geometry And Neutrosophic Trigonometry: A Unified Approach To Uncertainty Management In Geometric Spaces, Yismandry González Vargas, Diana Padrón Carrasco
Hyperbolic Geometry And Neutrosophic Trigonometry: A Unified Approach To Uncertainty Management In Geometric Spaces, Yismandry González Vargas, Diana Padrón Carrasco
Neutrosophic Sets and Systems
This paper addresses the challenge of modeling uncertainty in hyperbolic geometry, where non-Euclidean properties, such as angle sums in triangles smaller than 180°, complicate traditional trigonometric calculations. The relevance of this topic lies in its application in fields such as cosmology, robotics, and signal processing, where curved spaces and imprecision are common. Although the literature has explored fuzzy geometry and trigonometry under uncertainty, it lacks a framework that integrates negative curvature with explicit indeterminacy. To overcome this gap, a methodology is proposed that combines hyperbolic geometry with neutrosophic trigonometry, using neutrosophic sets (T, I, F) to represent angles and calculate …
Powering Up Clinical Practice: Mastering Clinical Literature Search Techniques In Embase For Pediatric Hospital Medicine Fellows, Evelyn Wang
HSLIC Faculty and Staff Instructional Resources
This didactic EMBASE session for Pediatric Hospital Medicine (PHM) fellows demonstrates how to translate pediatric clinical questions into EMBASE search strategies. It use of keywords and Emtree, proximity and Boolean operators, PV Wizard, device and drug searches, and workflows for organizing results to support clinical decision‑making
How To Talk To A Seahorse: Communication In Transmasculine Gestational Experiences As Told Through Narrative, Emerson Armstrong
How To Talk To A Seahorse: Communication In Transmasculine Gestational Experiences As Told Through Narrative, Emerson Armstrong
Communication ETDs
Transmasculine experiences before, during, and after pregnancy were evaluated using focus groups and autoethnographic research. As transgender people are more likely to experience inequality in healthcare encounters, this project aims to shed light on, and counter sensationalized accounts of male pregnancy, as transmasculine gestational individuals sought normalization in their experiences of pregnancy. Seven focus groups consisted of 90 minute sessions, with a total of 15 participants. Transcripts were analyzed using a trans narrative approach to find a greater understanding about identity construction, challenges, and changes around trans pregnancy. Asking about communities and healthcare experiences worked to create a complete picture …
The Incorporation Of Salivary Diagnostic Testing In Dental Hygiene Program Curriculum; A Pilot Study Using A Self-Reported Questionnaire, Carrie B. Palmer-Hawkins
The Incorporation Of Salivary Diagnostic Testing In Dental Hygiene Program Curriculum; A Pilot Study Using A Self-Reported Questionnaire, Carrie B. Palmer-Hawkins
Dental Hygiene ETDs
This study evaluated the incorporation of salivary diagnostic testing in dental hygiene program curricula. A recruitment email and survey link were sent to a convenience sample of 296 CODA-accredited program directors in the United States. Using a descriptive research approach, the survey gathered quantitative and qualitative data exploring directors’ perspectives on the role of salivary testing in dental hygiene education. Thirty-seven responses were gathered over three weeks, and 34 participants were included in the study, resulting in a response rate of 13%. Thirty-eight percent (n=13) reported incorporating salivary testing into their dental hygiene program curriculum through didactic or clinical coursework. …
Neurobehavioral Mechanisms Of Psychotic-Like Experiences And Cannabis Use, Ethan Campbell
Neurobehavioral Mechanisms Of Psychotic-Like Experiences And Cannabis Use, Ethan Campbell
Psychology ETDs
As cannabis use has increased steadily over the past decade, there is critical need to evaluate early cannabis use as a potential risk factor for the development of psychosis. Neurobehavioral mechanisms underlying novelty salience could clarify how cannabis exposure may influence subclinical psychotic-like experiences (PLEs). The present study leveraged dynamic functional connectivity and task-fMRI to assess the role of novelty processing in cannabis use and PLEs. A group of brain regions dynamically tied to the salience network while viewing short films were found to increase their activation as a function of stimulus novelty during a novelty bandit task. PLEs were …
Patient-Derived Ovarian Cancer Models Provide Insight Into Cancer Cell-Intrinsic And Immune Cell-Dependent Effects On Therapeutic Response, Parisa Nikeghbal
Patient-Derived Ovarian Cancer Models Provide Insight Into Cancer Cell-Intrinsic And Immune Cell-Dependent Effects On Therapeutic Response, Parisa Nikeghbal
Biomedical Sciences ETDs
Ovarian cancer is the most lethal gynecologic malignancy, largely due to late diagnosis and resistance to chemotherapy. This dissertation applies patient-derived organoids (PDOs), xenograft-derived organoids (PDXOs), and humanized xenografts (huPDX) to investigate therapeutic responses and immune interactions. Organoids were shown to retain critical features of the original malignancy. Across platinum-sensitive, -resistant, and -refractory cases, both PDOs and PDXOs exhibited drug sensitivities that aligned with patients’ clinical classifications. Building on this foundation, a drug screen revealed novel strategies. Auranofin restored platinum sensitivity in Notch3-active models, afatinib broadly reduced viability, and adavosertib–gemcitabine and sorafenib–topotecan combinations produced synergy. Extending this work, immune interactions …
Design And Evaluation Of The Influence Of Mutual Induction On Microbial Electrolysis Cell Performance And Biogas Production, Ashley L. Blackwell
Design And Evaluation Of The Influence Of Mutual Induction On Microbial Electrolysis Cell Performance And Biogas Production, Ashley L. Blackwell
Civil Engineering ETDs
Microbial electrolysis cells (MECs) present a pathway for energy recovery in wastewater treatment by converting organic substrates into methane or hydrogen. Traditional MEC designs typically rely on physical electrode contacts and expensive materials, which restrict their scalability. This study introduces the first induction-based MEC that uses mutual inductance between an external copper wrap and an internal coil to generate a fluctuating electrical potential, removing the need for expensive electrodes. The induction-stimulated reactor showed faster total organic carbon removal and a higher CH4/CO2 ratio compared to a conventional anaerobic digester, indicating improved carbon-to-methane conversion, although total gas yield remained similar. Microbial …
Efficacy Of Oil And Gas Production Site Remediation In U.S. Arid/Semi-Arid Regions, Skye Ontiveros
Efficacy Of Oil And Gas Production Site Remediation In U.S. Arid/Semi-Arid Regions, Skye Ontiveros
Architecture and Planning ETDs
Oil and gas production (OGP) is expanding, paralleled by its polluting leaks and spills (LS), and outpaced by its waste. This raises the question: Does remediation of LS occur effectively when needed to protect the environment and public, particularly in major producing regions like arid/semi-arid regions (ASAR), which account for approximately 72% of US oil and 42% of gas production? To answer, a review of the eight largest national remedial laws, sourced from the Code of Federal Regulations (CFR), identified 14 OGP exemptions for remedial determinants (RDs): factors affecting remedial frequency and efficacy (e.g. LS monitoring and chemical disclosure). An …
Hearing Their Voices: Exploring Parent Perspectives Regarding Augmentative And Alternative Communication In Home And Community Contexts, Heather Rose Diluzio
Hearing Their Voices: Exploring Parent Perspectives Regarding Augmentative And Alternative Communication In Home And Community Contexts, Heather Rose Diluzio
Special Education ETDs
Parents of children who have extensive support (ESN) who use augmentative and alternative communication (AAC) have reported challenges in supporting their children’s communication in home and community contexts. This qualitative interview study explored the perspectives of six mothers of children with ESN who use aided AAC to examine the supports families have, or would like to have, to integrate aided AAC meaningfully into their child’s communication in home and community settings. Findings revealed that these parents were the primary force behind their child’s access to aided AAC due to limited support from formal systems and professionals. Themes included: parents’ deep …
When Two Worlds Collide: A Narrative Inquiry Into The Teacher Identity Development Of Graduate Students Of Additional Languages, Hannah L. Garver
When Two Worlds Collide: A Narrative Inquiry Into The Teacher Identity Development Of Graduate Students Of Additional Languages, Hannah L. Garver
Teacher Education, Educational Leadership & Policy ETDs
This study explores a population that has been understudied in teacher identity research: native English-speaking graduate teaching assistants (GTAs) of additional languages who assumed this role with no prior teaching experience. Influenced by my own experience as a GTA, the purpose of this study is to gain insight into how this population’s experiences shape their identities as teachers and later careers. This qualitative study uses narrative inquiry as a method by which to examine their experiences through the stories told by participants: six former GTAs of French and German.
Using data in the form of semi-structured interviews and some participants’ …