Digital Commons Network^™

Enhancing Decision Making With Interval - Valued Refined Neutrosophic Hesitant Fuzzy Sets, Iswariya S, Sahaya Sudha A

Neutrosophic Sets and Systems

No abstract provided.

Enhancing Transportation Problem Solutions Using A New Ranking Function In A Neutrosophic Environment, Kavita Griglani, Komal Patel

Neutrosophic Sets and Systems

No abstract provided.

Madm Model Based On Trigonometric Aggregation Operators Of Linguistic Neutrosophic Values And Its Application In Selecting The Crawling Robot Design Schemes, Yongbiao Luo, Hui Pan

Neutrosophic Sets and Systems

No abstract provided.

On Restrained Neutrosophic Domination Number On Special Graphs, R Shanmugapriya, Hemalatha N. C

Neutrosophic Sets and Systems

No abstract provided.

Application Of Information Theoretic Measures In Neutrosophic Soft Environment, Surender Singh, Sonam Sharma

Neutrosophic Sets and Systems

No abstract provided.

A Novel Family Of Hybrid Neutrosophic Estimators For Population Mean Estimation, Anisha Taneja, Sachin Malik

Neutrosophic Sets and Systems

No abstract provided.

Note Of Hyperneutrosophic Crisp Set And Superhyperneutrosophic Crisp Set, Takaaki Fujita, Iqbal M. Batiha

Neutrosophic Sets and Systems

No abstract provided.

Fractional Dynamics And Fixed Point Theorems In Neutrosophic Mr-Metric Spaces With Applications To Network Systems, Abed Al-Rahman M.Malkawi, Ayat M. Rabaiah

Neutrosophic Sets and Systems

No abstract provided.

On Deferred I-Statistical Rough Convergence Of Difference Sequences In Neutrosophic Normed Spaces, Mukhtar Ahmad, Ekrem Savas, Mohammad Mursaleen

Neutrosophic Sets and Systems

No abstract provided.

An Algorithmic Approach To Bridge Detection In Bijective Neutrosophic Graph With Application In Cancer Diagnosis, D. Rajalaxmi, V. Vijaya, Said Broumi, S. Revathi

Neutrosophic Sets and Systems

No abstract provided.

A Neutrosophic Soft Set-Based Approach For Anemia Diagnosis: Managing Uncertainty In Medical Decision-Making, Ümit Karabıyık, Metin Bağcı

Neutrosophic Sets and Systems

No abstract provided.

Improving Classification In Support Vector Machine Using Neutrosophic Logic, Hiba Habbak, Mohammad Taher Anan, Abdulkader Jokhadar

Neutrosophic Sets and Systems

No abstract provided.

Irregular Pythagorean Neutrosophic Graphs, P. Chellamani, D. Ajay

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Sets And Systems, Vol. 96, 2026, Florentin Smarandache, Mohamed Abdel-Basset, Maikel. Leyva Vazquez

Neutrosophic Sets and Systems

No abstract provided.

Eepd1 Evolved A Unique Dna Clamping Dimer Protecting Reversed Replication Forks, Runze Shen, Altaf H Sarker, Yue Chen, Min Liu, Sunetra Roy, Albino Bacolla, Panagiotis Katsonis, Michal Hammel, Isao Kuraoka, Miaw-Sheue Tsai, Corydon Irie, Lukas Webb, Olivier Lichtarge, Chi-Lin Tsai, Susan E Tsutakawa, Katharina Schlacher, John A Tainer

Faculty, Staff and Student Publications

Exonuclease/endonuclease/phosphatase (EEP)-fold hydrolases are canonically monomeric phosphodiesterases exemplified by APE1, DNase I, and TDP2 nucleases. While EEP family domain containing protein 1 (EEPD1) acts in DNA stress responses, its proposed nuclease activities are enigmatic. Here, we integrate hybrid structural methods, evolution, biochemistry, cancer genomics, plus molecular and cell biology to define EEPD1 structure, assembly, and function at stalled DNA replication forks. Results imply EEPD1 surprisingly requires both unique EEP domain dimer and distinctive tandem Helix-hairpin-Helix [(HhH)2] domains to clamp double-stranded (ds) DNA at reversed DNA replication forks for fork protection. Small-angle X-ray Scattering (SAXS), crystal, and cryo-EM structures unveil an …

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, Jan Novak, 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 …

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. …

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, Jordi Rodon Ahnert, 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 …

Challenges, Stressors, And Resilience Resources Experienced By Older Black Women In Rural South Carolina Throughout The Covid-19 Pandemic, Arielle N'Diaye, Camryn Garrett, Sarah Wilcox Phd, Bankole Olatosi Ph.D., Xiaoming Li Ph.D., Shan Qiao Ph.D.

Faculty Publications

Background

Resilience has been established as a protective factor against mental health challenges (e.g., anxiety, depression). From an intersectional perspective, the stressors experienced by Black women living in rural communities are likely to have been exacerbated during the COVID-19 pandemic. This study aims to identify the challenges and stressors experienced and the resilience resources available to and relied upon by rural, Black women, during the pandemic.

Methods

Individual, in-depth, structured interviews (n = 24) were conducted among Black women living in rural South Carolina, recruited by local community health workers, from January to April of 2024. All interviews were recorded, …

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 …

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, …

Safety And Feasibility During Early Implementation Of Robotic-Assisted Percutaneous Coronary Intervention, Dung Thuong Ho, Manh Cuong Nguyen, Tran Tran Nguyen, Long Tran, Huy Nguyen, Dil Mai, Tuong Mien Ngo, Duc Chinh Nguyen, Chi Cuong Tran, Khiem D. Ngo

School of Medicine Publications

Background: Robotic-assisted Percutaneous Coronary Intervention (R-PCI) is an advanced technique offering potential advantages for both patients and interventional cardiology practices. In 2023, Can Tho S.I.S General Hospital implemented its first robotic system for PCI procedures. This study aimed to evaluate the safety and clinical outcomes during the early learning curve of R-PCI.

Methods: This prospective study included all patients undergoing R-PCI with the CorPath GRX Vascular Robotic System at Can Tho S.I.S General Hospital from April to September 2023. Baseline patient characteristics, procedural details, and six-month follow-up data were collected. Primary outcomes included Clinical Success, defined as < 30% residual diameter stenosis in the target vessel without major adverse cardiovascular events (MACE) during hospitalization (e.g., death, myocardial infarction, target-vessel revascularization, stroke), and robotic success, defined as achieving clinical success with partial manual support or no manual support.

Results: Thirty-one patients …

"The Only Place I Feel Understood": A Mixed Methods Survey Of Adolescent And Caregiver Perspectives On Social Media And Parental Controls

Faculty, Staff and Students Publications

Purpose

Methods

Results

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 …

Regional Brain Age Is Decreased In Children With Sickle Cell Anemia, Amy E Mirro, Landon C Power, Jinli Wang, Paula Germino-Watnick, Heather Roberts, Yonca Cam, Kristin P Guilliams, Slim Fellah, Yasheng Chen, Hongyu An, Jin-Moo Lee, Andria L Ford, Melanie E Fields

2020-Current year OA Pubs

DeepBrainNet, a machine learning tool, uses magnetic resonance imaging (MRI) to predict an individual's brain age, allowing calculation of the brain age gap (predicted chronological age) for use as a biomarker of brain health. We tested the DeepBrainNet tool in sickle cell anemia (SCA) on 210 brain MRIs from 130 children (90 with SCA; 40 healthy controls) to investigate the hypothesis that children with SCA would have a younger predicted brain age than healthy controls as an index of aberrant brain development. DeepBrainNet estimates brain age from 80 axial slices of each brain, with the median used as global brain …

Feasibility, Acceptability And Implementation Of A Whole-Family Mental Health Intervention For Displaced Adolescent Girls In Colombia: A Mixed-Methods Pilot Randomized Controlled Trial, Ilana Seff, Arturo Harker Roa, Byron Powell, Natalia Cordoba, Carolina Rodriguez, Julianne Deitch, Elvia Tamaity Ariza Pena, Feven Gebrekidan, Lindsay Stark

2020-Current year OA Pubs

Adolescent girls affected by displacement face substantial mental-health risks. The Sibling Support for Adolescent Girls in Emergencies (SSAGE) is a 12-week, gender-transformative, family-based program designed to improve adolescent girls' mental health in humanitarian settings. This mixed-methods pilot randomized controlled trial (RCT) assessed SSAGE's feasibility, acceptability and potential effects among 186 Venezuelan migrant and Colombian returnee families in Colombia. Adolescent girls aged 13-19 years, their male siblings and caregivers participated in parallel sessions on gender dynamics, communication and relationships. Implementation outcomes drew on the Mental Health Implementation Science Tools (acceptability and feasibility subscales), attendance records and qualitative interviews. Analyses followed an …

Celf1 Is A Non-Canonical Eif4e Binding Protein That Promotes Translation Of Epithelial-Mesenchymal Transition Effector Mrnas, Rajesh Sharma, Rituraj Pal, Na Zhao, Phoebe Tsoi, Yingmin Zhu, Emuejevoke Olokpa, Sufeng Mao, Sonia Del Rincon, Lucas C Reineke, Richard E Lloyd, Marco Sardiello, Jeffrey M Rosen, Choel Kim, Josephine C Ferreon, Joel R Neilson

Faculty, Staff and Students Publications

Mounting evidence is revealing an increasing complexity of gene regulation at the level of messenger RNA (mRNA) translation. Within mammalian cells, canonical cap-dependent mRNA translation depends on the eIF4F complex, consisting of the m7G mRNA cap-binding protein eukaryotic initiation factor 4E (eIF4E), the helicase eIF4A (eIF4A), and the eIF4G (eIF4G1) scaffolding protein. eIF4G1 additionally binds poly(A) binding protein (PABPC1) to facilitate mRNA circularization and nucleates pre-translation initiation complex assembly to initiate ribosomal scanning. In breast epithelial cells, the CELF1 RNA-binding protein specifically promotes the translation of select epithelial-to-mesenchymal transition (EMT) effector mRNAs by binding GU-rich elements (GREs) within their 3' …

Secondary Syphilis Case Report: Septic Arthritis And Tendinopathy, Phil Kulpinski

Advocate GME

No abstract provided.

Giant Cell Tumor Of The Tendon Sheath To The Lesser Digit: A Rare Presentation, Eyad Xoubi, Jehanzab Siddiqui

Advocate GME

No abstract provided.

Ketogenic Diet Dampens Excitatory Neurotransmission By Shrinking Synaptic Vesicle Pools, Marion I Stunault, Pan-Yue Deng, Anjali Yadav, Erica M Periandri, Francisca N De Luna Vitorino, Michael B Thomsen, Jasmin Sponagel, Amelia J Barfield, Renzelle J Ponce, Layla Foroughi, Benjamin A Garcia, Gabor Egervari, Vitaly A Klyachko, Ghazaleh Ashrafi

2020-Current year OA Pubs

Ketogenic diet (KD) is used for the treatment of drug-resistant childhood epilepsy and has been proposed to improve outcomes in neurodegenerative diseases. However, the mechanisms by which KD alters brain circuitry remain unclear. Here, we investigated the impact of KD on hippocampal function through integrative analysis of gene expression and neurotransmission. We found that KD induces extensive transcriptional reprogramming, including altered expression of numerous synaptic genes. Proteomic and genomic profiling revealed significant changes in histone modifications, particularly at promoters of KD-regulated genes. Electrophysiological recordings showed that KD reduces excitatory synaptic gain and short-term plasticity at CA3-CA1 synapses, dampening the summation …