Digital Commons Network^™

Evaluating Pedagogical Effectiveness In Accounting Courses Using Neutrosophic Theory, Emadaldeen Hassan Alomar

Neutrosophic Sets and Systems

No abstract provided.

A Neutrosophic Topological Model For Analyzing Higher Education Internationalization Competence Through Cross-Cultural Communication And Collaboration, Zesi Fan

Neutrosophic Sets and Systems

No abstract provided.

A Comprehensive Indetermhypersoft Set Model For Evaluating University Literature Education Effectiveness: Integrating Cultural Context, Argumentation Skills, And Dynamic Progress, Lingling Chen

Neutrosophic Sets and Systems

No abstract provided.

Pythagorean Neutrosophic Ideals In Gamma Semigroup, Riyaz Ur Rehman A, Hellen A, Rashmi Kumar J, Arulselvam A, Bobin A, Dhanalakshmi P

Neutrosophic Sets and Systems

No abstract provided.

A Novel Neutrosophic Framework For Digital Inheritance And Innovation Of Traditional Handicraft Tourism Products Based On Symbolic Integrity And Forgery Detection, Wuping Fu

Neutrosophic Sets and Systems

No abstract provided.

A Neutrosophic Α-Discounting–Reliability Model For Evaluating Blended Chinese Language Courses In Vocational Colleges, Xinxin Ji

Neutrosophic Sets and Systems

No abstract provided.

A Refined Neutrosophic Over/Under Probability Model With Off-Norm Operators For Evaluating The Efficiency Of Ai-Based Digital Tools In Korean Language Teaching, Ting Yu

Neutrosophic Sets and Systems

No abstract provided.

A Multineutrosophic Offset Model For Clustering And Optimizing College Students' Mental Health Literacy In Interdisciplinary Contexts, Yan Li

Neutrosophic Sets and Systems

No abstract provided.

A Neutroeconomic Resilience Framework For High-Quality Regional Economic Development Under The New Normal, Yifan Wang, Xiuling Sun

Neutrosophic Sets and Systems

No abstract provided.

Offset-Neutrosophic Upside-Down Assessment Model (On-Uam): A New Way To Measure The Performance Of Basic Education Informatization, Yanna Deng

Neutrosophic Sets and Systems

No abstract provided.

Advancing Breast Cancer Diagnosis: A Comprehensive Machine Learning Approach For Predicting Malignant And Benign Cases With Precision And Insight In A Neutrosophic Environment Using Neutrosophic Numbers, Nihar Ranjan Panda, R. Rajalakshmi, Surapati Pramanik, Mana Donganont, Prasanta Kumar Raut

Neutrosophic Sets and Systems

No abstract provided.

A Neutrosophic Participation Quadruple Model For Analyzing Student Engagement In Blended Physical Education, Bin Cao

Neutrosophic Sets and Systems

No abstract provided.

Navigating Economic And Agricultural Realms With Interval-Valued Complex Neutrosophic Fuzzy Sets., Velan Kalaiyarasan, Krishnan Muthunagai

Neutrosophic Sets and Systems

No abstract provided.

Core Concepts Behind Quadripartitioned Neutrosophic Soft Block Matrices, S. Ramesh Kumar, A. Stanis Arul Mary

Neutrosophic Sets and Systems

No abstract provided.

Intuitionistic Quadri-Partitioned Neutrosophic N-Soft Set To Evaluate The Emotional Resilience Of Students In A Dynamic Learning Environment, Sai Anu P, Arulselvam A

Neutrosophic Sets and Systems

No abstract provided.

A Neutrostructural Framework For Coordinated Development Evaluation Of Land Resource Utilization And Ecological Environmental Protection, Qian Luan

Neutrosophic Sets and Systems

No abstract provided.

Hybrid Physical Education Teaching Process In Colleges: A Performance Evaluation Perspective Using The Single Valued Bipolar Pentapartitioned Neutrosophic Set, Guifang Shen

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Sets And Systems, Vol. 87,2025, Florentin Smarandache, Mohamed Abdel-Basset, Maikel. Leyva Vazquez

Neutrosophic Sets and Systems

No abstract provided.

Uncovering The Works By Early Modern Women Printers: An Experiment With Generative Ai, Tang (Cindy) Tian, Daniela Rovida

Journal Articles

The contributions of women to the printing trade during the hand press era have long been under- documented, leaving significant historical gaps in our understanding of early print culture. This article presents a project that uses ChatGPT-4o, a generative artificial intelligence (AI) chatbot, to help bridge those gaps by identifying, analyzing, and contextualizing the work of women printers represented in the University of Notre Dame’s rare book collections.

Front Lines: Developing A Military Medicine Honors Track, Bryan G. Beutel

Faculty and Staff Publications

No abstract provided.

Corneal Pseudomicrocysts Following Claudin-6 Antibody-Drug Conjugate Infusion, Laura Matuszewska, Caitlynn Cooper, Victoria Sattarova, Wassef Chanbour, Evan Meyer, Vania Rashidi

Student Publications

Purpose

To report a case of bilateral corneal pseudomicrocysts associated with infusions of a novel antibody-drug conjugate targeting claudin-6, called TORL-1-23.

Observations

A 47-year-old female with a history of advanced recurrent serous ovarian cancer presented to a level 1 tertiary care center with ocular irritation, redness, tearing, and light sensitivity following two infusions of TORL-1-23. Patient's past ocular history was unremarkable. The patient was enrolled in a phase 1 clinical trial for TORL-1-23, an antibody-drug conjugate (ADC). Nine days following the second infusion the patient presented to the ophthalmology clinic complaining of two weeks of bilateral eye discomfort, tearing, and …

Feed Prices, Substitution Patterns, And Technical Efficiency In Feedlot Cattle, Andrew E. Anderson, James L. Mitchell, Jamie R. Luke

Agricultural Economics and Agribusiness Faculty Publications and Presentations

The cattle feeding industry is sandwiched between relatively volatile commodity markets, and efficiency is critical. Changing prices for feedstuffs may cause substitution and output effects, in turn impacting technical efficiency. Using Kansas feedlot data, we estimate the effects of feed prices on cattle performance, focusing on the feed conversion ratio, average daily gain, and days on feed. Results show that several feed prices do indeed impact technical efficiency. These results have implications for management adapting to changing feed prices. Further, there are policy implications for programs that may impact commodity prices.

Mucinous Cystic Neoplasms Of The Pancreas And Liver Share A Similar Dna Methylation Profile With Mucinous Ovarian Tumors, Zoe Leoni, Teodor G Calina, Tobias Janik, Elena Grafenhorst, Eliane T Taube, Christopher Cm Neumann, Baoqing Chen, Elena I Braicu, Jalid Sehouli, Thomas Malinka, Wenzel Schöning, Johann Pratschke, George A Calin, David S Klimstra, Jamal K Benhamida, Irene Esposito, Markus Möbs, David Horst, Simon Schallenberg, David Capper, Mihnea P Dragomir

Faculty, Staff and Student Publications

The origin of mucinous cystic neoplasms (MCNs) remains a major challenge in hepato-pancreato-biliary pathology. These cystic tumors are defined by their mucinous epithelium and ovarian-like stroma, with an estimated 10% risk of progression to invasive carcinoma. The origin of the ovarian-like stroma remains a subject of debate. In this study, we conducted immunohistochemical profiling, targeted DNA sequencing, and genome-wide DNA methylation analysis on a cohort of 15 pancreatic MCNs (MCN-P) and six hepatic MCNs (MCN-L). Using immunohistochemistry and targeted DNA sequencing, we unequivocally established the diagnosis of MCN. Unsupervised DNA methylation profile analysis of reference classes of pancreatic neoplasms (11 …

Designing An Electronic Patient-Reported Outcomes Information Infrastructure Supported By The Re-Aim Implementation Framework, Amy C Moreno, Angela Peek, Toshiko S Stein, Kevin R Shook, Sara M Ali, Laia Humbert-Vidan, Aileen Chen, Miriam Lango, Anna Lee, Michael Spiotto, William H Morrison, Adam S Garden, Jack Phan, Steven J Frank, Katherine Hutcheson, David I Rosenthal, Clifton D Fuller, G Brandon Gunn

Faculty, Staff and Student Publications

Objective: Patient-reported outcomes (PROs) contain valuable information that can be leveraged by providers to perform timely interventions and improve quality of life and survival. However, the implementation of electronic PROs (ePROs) remains a challenge from technical and evaluation perspectives. Our objective was to construct a robust electronic health record (EHR)-integrated ePRO information infrastructure founded on RE-AIM (reach-effectiveness-adoption-implementation-maintenance) principles.

Materials and methods: We used Epic Systems as our EHR platform to build the MD Anderson Symptom Index Head and Neck Module (MDASI-HN) for release to all patients undergoing evaluation and/or treatment in our HN Radiation Oncology clinics. RE-AIM metrics were established …

Using Extension-Based Mrna Display To Design Antibody-Like Proteinogenic Peptides For Human Pd-L1, Justin N Ong, Brian J Grindel, Scott A Rankin, Sarah H Naylon, Anupallavi Srinivasamani, Guillaume J Trusz, Xiaowen Liang, Md Nasir Uddin, Lauren Fuller, Michael Curran, Stephane P Roche, Terry T Takahashi, Richard W Roberts, Steven W Millward

Faculty, Staff and Student Publications

Many peptide drugs rely on nonproteinogenic amino acids and chemical modifications for improved activity and proteolytic stability. However, these features also make drug production expensive and challenging to scale. Here, we engineered small, linear, proteinogenic peptides that bind human programmed death-ligand 1 (hPD-L1) with high affinity and stability using mRNA display affinity maturation. The resulting peptides, SPAM2 and SPAM3, have antibody-like affinities for hPD-L1 (dissociation constants between ~250 and 300 pM) and are selective for hPD-L1. Both SPAM2 and SPAM3 compete with hPD-L1 ligands known to interact with the programmed cell death protein 1 site and are stable in human …

Mechanisms Underlying Treatment-Resistant Depression: Exploring Sex-Based Biological Differences, Francisco E R Da Silva, Atakan Yucel, Antonio P M Menezes, Ana C Ruiz, Marcela C Carbajal Tamez, Tatiana Barichello, Giselli Scaini, Joao Quevedo

Faculty, Staff and Student Publications

Treatment-resistant depression (TRD) represents a severe and complex subtype of major depressive disorder (MDD), affecting approximately 30% of patients who fail to respond adequately to multiple standard antidepressant therapies. While the pathophysiology of TRD remains incompletely understood, emerging evidence suggests that sex-based biological differences might influence its onset, progression, and treatment response. Women are disproportionately affected by depression and are more likely to experience residual symptoms and treatment resistance, potentially due to hormonal fluctuations, immune system differences, and variations in brain circuitry and neuroplasticity. This narrative explores the current literature on the mechanisms underlying TRD, with a particular emphasis on …

Peripartum Depression Pharmacotherapies Targeting Gaba-Glutamate Neurotransmission, Alan C Courtes, Louisa Smitherman, Lokesh Shahani, Jair C Soares, Laura Goetzl, Rodrigo Machado-Vieira

Faculty, Staff and Student Publications

Peripartum depression (PPD) represents a significant public health concern, affecting 10-17% of women globally. Traditional monoaminergic treatments demonstrate limited efficacy and delayed onset of action. The glutamate-GABA imbalance hypothesis provides a novel theoretical framework for understanding depression pathophysiology and developing targeted therapeutic interventions. This review examines emerging pharmacotherapeutic approaches targeting glutamatergic and GABAergic neurotransmitter systems for PPD treatment. Search criteria targeted randomized clinical trials investigating GABA-A-positive allosteric modulators (brexanolone, zuranolone, and ganaxolone) and NMDA receptor antagonists (ketamine and esketamine) in PPD patients. Brexanolone was the first neurosteroid to receive FDA approval for PPD, while zuranolone also shows promise. Ketamine and …

Spatial Colocalization And Molecular Crosstalk Of Myofibroblastic Cafs And Tumor Cells Shape Lymph Node Metastasis In Oral Squamous Cell Carcinoma, Ken Furudate, Shuya Kasai, Tadashi Yoshizawa, Yuya Sasaki, Kohei Fujikura, Shintaro Goto, Ryohei Ito, Koki Takagi, Tomoyuki Tanaka, Hiroshi Kijima, Kosei Kubota, Ken Itoh, Wataru Kobayashi, Koichi Takahashi

Faculty, Staff and Student Publications

Lymph node metastasis (LNM) is a critical prognostic factor for patients with oral squamous cell carcinoma (OSCC). Previous research has implicated the partial epithelial-to-mesenchymal transition of tumor cells and myofibroblastic cancer-associated fibroblasts (myCAFs) in the LNM process. However, the underlying molecular mechanisms remain poorly understood. Here, we conducted a comprehensive molecular analysis integrating original and publicly available OSCC data from bulk genome and transcriptome, single-cell transcriptome, and spatial transcriptome analyses. We found that myCAFs were quantitatively and functionally activated in LNM-positive samples and spatially colocalized with OSCC cells within the invasive tumor front (ITF), providing a niche that may facilitate …

The Brescia International Multidisciplinary Consensus Guidelines On The Optimal Pathology Assessment And Multidisciplinary Pathways Of Non-Pancreatic Neoplasms In And Around The Ampulla Of Vater (Peripan), Mohammad Abu Hilal, Bas A Uijterwijk, Daniël H L Lemmers, Boris V Janssen, Marc G Besselink, Denise Bianchi, Arantza Fariña, Noriyoshi Fukushima, Anthony J Gill, Seung-Mo Hong, Alyssa Krasinskas, Claudio Luchini, Laura Melocchi, Giulio Rossi, Aldo Scarpa, Olca Basturk, Deyali Chatterjee, Angela Chou, Irene Esposito, Roger Feakins, Bas Groot Koerkamp, Ralph H Hruban, Stefano La Rosa, Chanjuan Shi, Aatur Singhi, Joanne Verheij, Huamin Wang, Sergio Alfieri, Fabio Ausania, Adnan Alseidi, Marco J Bruno, Ugo Boggi, Claudio Bnà, Christos Dervenis, Massimo Falconi, Michele Ghidini, Jakob W Kist, Giovanni Marchegiani, Michele Milella, Roberto Salvia, Ajith Siriwardena, Hanneke Wilmink, Alberto Zaniboni, Shaimaa Al-Janabi, Maia Blomhoff Holm, Eva Roos, Naoki Sano, In Hye Song, Zeynep Tarcan, Gianpaolo Balzano, Isabella Frigerio, Alfredo Guglielmi, Giuseppe Malleo, Horacio Asbun, Volkan Adsay, Caroline Verbeke

Faculty, Staff and Student Publications

IMPORTANCE: The lack of multidisciplinary workflow guidelines and clear definitions and classifications for neoplasms in and around the ampulla of Vater results in inconsistencies affecting patient care and research.

OBJECTIVE: The PERIPAN international multidisciplinary consensus group aimed to standardize the multidisciplinary diagnostic workflow and achieve consensus on definitions and classifications in order to ensure proper classification and optimal diagnostic assessment and consequently to improve patient care and future research.

DESIGN: An international team of 43 experts (pathologists, surgeons, radiologists, gastroenterologists, oncologists) from 12 countries identified knowledge gaps, reviewed 37061 articles, and proposed recommendations using the Scottish Intercollegiate Guidelines Network methodology …

Lifecycles Of Cochrane Systematic Reviews (2003-2024): A Bibliographic Study, Shiyin Li, Chong Wu, Zichen Zhang, Mengli Xiao, Mohammad Hassan Murad, Lifeng Lin

Faculty, Staff and Student Publications

Background and objectives: The relevance of Cochrane systematic reviews depends on timely completion and updates. This study aimed to empirically assess the lifecycles of Cochrane reviews published from 2003 to 2024, including transitions from protocol to review, update patterns, and withdrawals.

Methods: We extracted data from Cochrane Library publications between 2003 and 2024. Each review topic was identified using a unique six-digit DOI-based ID. We recorded protocol publication, review publication, updates, and withdrawals (i.e., removed from the Cochrane Library for editorial or procedural reasons), calculating time intervals between stages and conducting subgroup analyses by review type.

Results: Of 8137 protocols, …