Digital Commons Network^™

The Effect Of Proton Pump Inhibitors On Bone Mineralisation: A Systematic Review With Focus On Phospho1, Célia Baudin, Ricardo Faria-Almeida

Sultan Qaboos University Medical Journal

Objectives: Proton pump inhibitors (PPIs) are among the most widely prescribed drugs for long-term suppression of gastric acid. Though generally considered safe, increasing evidence links their use to altered bone metabolism. This systematic review investigates the hypothesis that PPI-induced inhibition on PHOSPHO1-a bone-specific phosphatase- impairs bone mineralisation. Methods: A systematic electronic search was conducted for experimental studies from January 2000 to January 2025. The screening and selection followed PRISMA guidelines. Results: Of 20 articles identified, 3 met the inclusion criteria: two in-vitro studies and one combining both in-vitro and in-vivo data. All three examined the effects of PPIs on bone …

Microbial Signals In Primary And Metastatic Brain Tumors, Golnaz Morad, Ashish V Damania, Brenda Melendez, Bharat B Singh, Fabiana J Veguilla, Rebecca A Soto, Yasmine M Hoballah, Pranoti V Sahasrabhojane, Matthew C Wong, Mona M Ahmed, Rene N Rico, Kaitlyn N Lewis, Khalida Wani, Diana D Shamsutdinova, Rossana N Lazcano Segura, Davis R Ingram, Eric A Goethe, Abderrahman Day, Ivonne I Flores, Lauren K Mcdaniel, Manoj Chelvanambi, Sarah B Johnson, Florentia Dimitriou, Pravesh Gupta, Shivangi Oberai, M Anna Zal, Phoebe Doss, Mohamed A Jamal, Eiko Hayase, Chetna Wathoo, Lisa M Norberg, Stephanie L Jenkins, Sara Nass, Joy Gumin, Lihong Long, Jing Yang, Gina R Bradley, Mahesh Prasad Bekal, Antonio G Dono, Pavel S Pichardo-Rojas, Samuel W Andrewes, Leomar Y Ballester, Jillian S Losh, Jiyong Liang, Longfei Huo, Douglas C Nielsen, Brittany C Parker Kerrigan, Priscilla K Brastianos, Natalie Wall Fowlkes, Chia-Chi Chang, Robert R Jenq, Candelaria Gomez-Manzano, Jason T Huse, Michael A Davies, Alexander J Lazar, Krishna P Bhat, Nitin Tandon, Yoshua Esquenazi, Christine B Peterson, Vinay K Puduvalli, Frederick F Lang, Christopher D Johnston, Susan Bullman, Nadim J Ajami, Sherise D Ferguson, Jennifer A Wargo

Faculty, Staff and Student Publications

Gliomas and brain metastases are associated with poor prognosis, necessitating a deeper understanding of brain tumor biology and the development of effective therapeutic strategies. Although our group and others have demonstrated microbial presence in various tumors, recent controversies regarding cancer-type-specific intratumoral microbiota emphasize the importance of rigorous, orthogonal validation. This prospective, multi-institutional study included a total of 243 samples from 221 patients, comprising 168 glioma and brain metastases samples and 75 non-cancerous or tumor-adjacent tissues. Using stringent fluorescence in situ hybridization, immunohistochemistry and high-resolution spatial imaging, we detected intracellular bacterial 16S rRNA and lipopolysaccharides in both glioma and brain metastases …

Exploring Multimodal Large Language Models On Transthoracic Echocardiogram (Tte) Tasks For Cardiovascular Decision Support, Jianfu Li, Yiming Li, Zenan Sun, Evan Yu, Ahmed M Abdelhameed, Weiguo Cao, Haifang Li, Jianping He, Pengze Li, Jingna Feng, Yue Yu, Xinyue Hu, Manqi Li, Rakesh Kumar, Yifang Dang, Fang Li, Shahyar M Gharacholou, Cui Tao

Faculty, Staff and Student Publications

Objective: Multimodal large language models (LLMs) offer new potential for enhancing cardiovascular decision support, particularly in interpreting echocardiographic data. This study systematically evaluates and benchmarks foundation models from diverse domains on echocardiogram-based tasks to assess their effectiveness, limitations and potential in clinical cardiovascular applications.

Methods: We curated three cardiovascular imaging datasets-EchoNet-Dynamic, TMED2, and an expert-annotated echocardiogram (TTE) dataset-to evaluate performance on four critical tasks: (1) cardiac function evaluation through ejection fraction (EF) prediction, (2) cardiac view classification, (3) aortic stenosis (AS) severity assessment, and (4) cardiovascular disease classification. We evaluated six multimodal LLMs: EchoClip (cardiovascular-specific), BiomedGPT and LLaVA-Med (medical-domain), and …

Scaling Up Biomedical Vision-Language Models: Fine-Tuning, Instruction Tuning, And Multi-Modal Learning, Cheng Peng, Kai Zhang, Mengxian Lyu, Hongfang Liu, Lichao Sun, Yonghui Wu

Faculty, Staff and Student Publications

Objective: To advance biomedical vision language model capabilities through scaling up, fine-tuning, and instruction tuning, develop vision-language models with improved performance in handling long text, explore strategies to efficiently adopt vision language models for diverse multi-modal biomedical tasks, and examine the zero-shot learning performance.

Methods: We developed two biomedical vision language models, BiomedGPT-Large and BiomedGPT-XLarge, based on an encoder-decoder-based transformer architecture. We fine-tuned the two models on 23 benchmark datasets from 6 multi-modal biomedical tasks, including one image-only task (image classification), three language-only tasks (text understanding, text summarization, and question answering), and two vision-language tasks (visual question answering and image …

Outcomes And Patterns Of Relapse Of Npm1 Mutated Acute Myeloid Leukemia Treated With Venetoclax Based Therapies, Wei-Ying Jen, Sanam Loghavi, Alexandre Bazinet, Alex Bataller, Ian Bouligny, Naval G Daver, Ghayas C Issa, Naszrin Arani, Emmanuel Almanza Huante, Abhishek Maiti, Guillermo Montalban-Bravo, Gautam Borthakur, Nicholas J Short, Sherry Pierce, Elias Jabbour, Guillermo Garcia-Manero, Farhad Ravandi, Hagop M Kantarjian, Courtney D Dinardo, Tapan M Kadia

Faculty, Staff and Student Publications

No abstract provided.

A Tour Of Leukemia Progress In 2025, Viewed Through The Md Anderson Leukemia Research Lens, Hagop M Kantarjian, Gautam Borthakur, Naval Daver, Courtney Dinardo, Guillermo Garcia-Manero, Ghayas Issa, Elias Jabbour, Nitin Jain, Tapan Kadia, Sanam Loghavi, Farhad Ravandi, Guilin Tang, Mary Alma Welch, William Wierda

Faculty, Staff and Student Publications

Advances in the prognostication, monitoring, and treatment of both the acute and chronic leukemias have led to drastically improved outcomes over the past 2 decades. With the advent of targeted therapies, including antibodies such as blinatumomab and inotuzumab and small molecule inhibitors, such as the BCR::ABL1 tyrosine kinase inhibitors, Bruton tyrosine kinase inhibitors, and venetoclax, the treatment landscape of leukemia has drastically changed, improving survival outcomes while relying less on overall chemotherapy intensity in many leukemia types. This progress has allowed the categorization of more leukemia types as favorable (i.e., chronic lymphocytic leukemia, younger acute lymphoblastic leukemia [patients younger than …

Brain-Wide Patterns Of Crf Receptor 1 Expression In The Transgenic Crfr1-Cre-2a-Tdtom Rat, Douglas S Engelke, Lierni Ugartemendia, Jonathan Tao, Shivakumar Rajamanikam, Fabricio H Do Monte, Nicholas J Justice

Faculty, Staff and Student Publications

The ability to manipulate neurons that express corticotropin-releasing factor (CRF) or its receptors has led to many new discoveries about how CRF signaling modulates stress-related behaviors in mice. However, similar advances in rats have been limited by the lack of reporter lines targeting CRF receptors, restricting access to behavioral paradigms that are more suitable for, or specific to, rats. Here, we provide an extensive neuroanatomical characterization of a recently generated CRFR1-Cre rat. We show that Cre and tdTomato are expressed in a pattern that closely aligns with previously reported CRFR1 expression patterns, as determined by in situ hybridization in rats …

Probabilistic Template Matching For Detecting Resting-State Functional Mri Language Network In Brain Tumor Patients, Jian Ming Teo, Vinodh A Kumar, Alexander M Khalaf, Kyle R Noll, Sherise D Ferguson, Chibawanye I Ene, Sujit S Prabhu, Max Wintermark, Ho-Ling Liu

Faculty, Staff and Student Publications

Background: Intersubject variation among patients with brain tumors complicates the template matching process for detecting the resting-state (rs) functional MRI (fMRI) language network when using independent component analysis (ICA).

Purpose: This study aimed to develop methods that use a probabilistic language atlas to incorporate intersubject variation in brain tumor patients into the template matching process.

Methods: This retrospective study included 79 patients with brain tumors (average age, 50 ± 15 years) who underwent presurgical task-based (tb)-fMRI and rs-fMRI at clinical 3T scanners. At varying template generation thresholds (τ), binary and probabilistic templates were obtained from the language atlas. A binary …

Tagraxofusp, A Cd123-Targeted Therapy, For Chronic Myelomonocytic Leukemia: Final Results Of A Phase 1/2 Study, Mrinal M Patnaik, Haris Ali, Eunice S Wang, Abdulraheem Yacoub, James M Foran, Vikas Gupta, Gary J Schiller, Don Ambrose Stevens, Moshe Talpaz, Sarah Wall, Terra L Lasho, Abhishek A Mangaonkar, Talha Badar, Ross Lindsay, Antonio Galleu, Ira Gupta, Naveen Pemmaraju, Guillermo Garcia-Manero

Faculty, Staff and Student Publications

Chronic myelomonocytic leukemia (CMML) is an aggressive hematologic neoplasm characterized by an expansion of CD123+ monocytes and plasmacytoid dendritic cells (pDCs). pDC bone marrow clusters in CMML have been associated with higher rates of acute myeloid leukemia transformation. We evaluated tagraxofusp, a CD123-targeted therapy, in a phase 1/2 trial for patients with CMML. There were no dose-limiting toxicities. At the recommended phase 2 dose of 12 μg/kg per day, 37 patients were treated: 15 were treatment naïve; 22 had relapsed/refractory disease (median number of previous therapies, 1 [range, 1-7]). Common nonhematologic treatment-emergent adverse events (AEs) included fatigue (49%), hypoalbuminemia (46%), …

Meeting Report From The 2024 Symposium On Irak4 In Cancer: Highlights And Clinical Updates, Eric S Winer, Marina Konopleva, Han W Tun, Kian-Huat Lim, Bently Doonan, Klaus H Metzeler, Lakshmi Nayak, Andrés J M Ferreri, Christina Von Roemeling, Grzegorz S Nowakowski, Guillermo Garcia-Manero

Faculty, Staff and Student Publications

Interleukin-1 receptor-associated kinase 4 (IRAK4) is a serine/threonine kinase that mediates interleukin-1 and Toll-like receptor (TLR) signaling. IRAK4 drives the activation of nuclear factor kappa B (NF-κB), which promotes cell survival, inflammation, and proliferation. Aberrant activation of IRAK4 and TLR signaling has been implicated in multiple malignancies. At the 3rd Annual IRAK4 in Cancer Symposium, experts discussed the role of IRAK4 in cancer biology, the potential for synergism between IRAK4 inhibition and other treatments to overcome resistance, and how IRAK4 inhibition may improve clinical outcomes. Preclinical data were presented demonstrating the activity of IRAK4 inhibition alone or in combination with …

Continuous Androgen Deprivation Therapy With Or Without Metastasis-Directed Therapy For Oligometastatic Prostate Cancer: The Multicenter Phase 2 Randomized Extend Trial, Alexander D Sherry, Bilal A Siddiqui, Cara Haymaker, Bryan M Fellman, Marina N Medina-Rosales, Tharakeswara K Bathala, Shuqi Wang, Suyu Liu, Aaron Seo, Kieko Hara, Hsinyi Lu, Patricia Troncoso, Stephen G Chun, Chul S Ha, Lauren L Mayo, Henry Mok, Ryan J Park, Brian F Chapin, Ryan M Phillips, Matthew P Deek, Craig A Kovitz, Ana Aparicio, Amado J Zurita, Patrick G Pilie, Lorenzo Cohen, Seungtaek L Choi, Alexandre Reuben, Phuoc T Tran, Paul G Corn, Sumit K Subudhi, Chad Tang

Faculty, Staff and Student Publications

Background and objective: Oligometastatic prostate cancer (omPC) is characterized by limited metastases. We hypothesized that metastasis-directed therapy (MDT) to all sites of omPC combined with androgen deprivation therapy (ADT) would improve clinical outcomes.

Methods: In the multicenter phase 2 EXTEND trial, patients with omPC were randomized 1:1 to ADT versus MDT + ADT in two independently powered and randomized baskets, one using intermittent ADT and one using continuous ADT. The primary endpoint was progression-free survival (PFS). The secondary endpoints included radiologic PFS (rPFS) and castration resistance-free survival (CRFS). Here, the primary results of the continuous ADT basket, the combined analysis …

Rank-Based Learning: A Novel High-Throughput Algorithm Resilient To Missing Data And Effective For Datasets With Small Sample Size, Lulu Song, Hamid Khoshfekr Rudsari, Johannes F Fahrmann, Jody Vykoukal, Sam Hanash, James P Long, Kim-Anh Do, Ehsan Irajizad

Faculty, Staff and Student Publications

High-throughput omics data present challenges for binary classification due to platform variability, batch effects, missing values, and high dimensionality. This study presents a novel Rank-Based Learning (RBL) method that leverages relative feature rankings to improve robustness and generalizability. We evaluated RBL against established methods like Logistic Regression (LR) and Random Forest (RF) using simulated data and two real-world plasma proteomics datasets: early-stage small cell lung cancer (SCLC) and duodenopancreatic neuroendocrine tumors (dpNET) in patients with Multiple Endocrine Neoplasia type 1 (MEN1). In simulation experiments, RBL outperformed LR under conditions involving batch effects, missing data, and varying numbers of true differential …

Corrigendum To "Single-Cell Proteomic Analysis Reveals Multiple Myeloma Heterogeneity And The Dynamics Of The Tumor Immune Microenvironment In Precursor And Advanced States" [Neoplasia 66 (2025) 1101189], Mohamed Kamal, Stephanie N Shishido, Jeremy Mason, Krina Patel, Elisabet E Manasanch, Robert Z Orlowski, Peter Kuhn

Faculty, Staff and Student Publications

No abstract provided.

Integration Of Genetic And Imaging Data For Alzheimer's Disease Diagnosis And Interpretation, Yanfei Wang, Qing Wang, Minghao Zhou, Jialu Liang, Lei You, Breton Asken, Xiaobo Zhou, Qianqian Song

Faculty, Staff and Student Publications

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by complex interactions between genetic risk factors and structural brain changes. Traditional diagnostic approaches that rely on single-modality data, such as imaging or genomics alone, often fall short in both predictive accuracy and biological interpretability. To address these limitations, AlzCLIP, a novel contrastive learning framework that integrates single nucleotide polymorphism (SNP) profiles and MRI-derived imaging features into a unified embedding space is introduced. This joint representation captures disease-relevant interactions between genetic variation and brain structure, enabling both accurate diagnosis and mechanistic insight into AD. AlzCLIP is trained and evaluated on two …

Diffuse Cutaneous Alk-Immunoreactive Histiocytosis With Mef2c::Flt3 Fusion, Sanjana Likki, Kevin Lee, Fiorinda Muhaj, Wei Wang, Pei Lin, Woo Cheal Cho, Doina Ivan, Carlos A Torres-Cabala, Luis Fayad, Jonathan L Curry

Faculty, Staff and Student Publications

No abstract provided.

Data-Driven Abdominal Phenotypes Of Type 2 Diabetes In Lean, Overweight, And Obese Cohorts From Computed Tomography, Lucas W Remedios, Chloe Cho, Trent M Schwartz, Dingjie Su, Gaurav Rudravaram, Chenyu Gao, Aravind R Krishnan, Adam M Saunders, Michael E Kim, Shunxing Bao, Alvin C Powers, Bennett A Landman, John Virostko

Faculty, Staff and Student Publications

Purpose: Although elevated body mass index (BMI) is a well-known risk factor for type 2 diabetes, the disease's presence in some lean adults and absence in others with obesity suggests that more detailed measurements of body composition may uncover abdominal phenotypes of type 2 diabetes. With artificial intelligence (AI) and computed tomography (CT), we can now leverage robust image segmentation to extract detailed measurements of size, shape, and tissue composition from abdominal organs, abdominal muscle, and abdominal fat depots in 3D clinical imaging at scale. This creates an opportunity to empirically define body composition signatures linked to type 2 diabetes …

Basal Cell Carcinoma Risk Prediction In Survivors Of Childhood Cancer, Cindy Im, Christina Boull, Zhe Lu, Kenneth Liao, Hasibul Hasan, Linwan Xu, Yadav Sapkota, Rebecca M Howell, Michael A Arnold, Miriam R Conces, Ashley J Housten, Judith Gebauer, Thorsten Langer, Jop C Teepen, Leontien C M Kremer, Louis S Constine, Yutaka Yasui, Melissa M Hudson, Kirsten K Ness, Gregory T Armstrong, Joseph P Neglia, Yan Yuan, Lucie M Turcotte

Faculty, Staff and Student Publications

Background: Survivors of childhood cancer face excess risk of developing basal cell carcinoma. Age-specific basal cell carcinoma risk prediction models for survivors may support targeted screening recommendations.

Methods: We developed models predicting basal cell carcinoma risk by ages 40 and 50 years featuring detailed cancer treatment predictors, utilizing statistical and machine-learning algorithms and data from 23 166 five-year survivors in the Childhood Cancer Survivor Study, a multi-institutional retrospective cohort study. Selected models were externally validated in 5314 survivors in the St Jude Lifetime Cohort. Model discrimination and precision were evaluated using the area under the receiver operating characteristic curve (AUROC) …

Study Of 18 F-Fluciclovine Pet For Serial Assessment Of Glioblastoma Tumor Volumes During Surgery And Radiotherapy, Samir A Dagher, Jason M Johnson, Rania M M Mohamed, Shehbaz Ansari, Osama Mawlawi, Ho-Ling Liu, Max Wintermark, Dawid Schellingerhout, Lesley Flynt, Debra N Yeboa, Jeffrey S Weinberg, Sherise D Ferguson, Maria K Gule-Monroe

Faculty, Staff and Student Publications

PURPOSE: Recent evidence supports incorporating 18 F-Fluciclovine PET for glioblastoma treatment planning and monitoring, as it better captures tumor infiltration compared to conventional MRI. However, the relationship between PET- and MRI-defined tumor volumes remains unclear, particularly in the post-treatment setting. This study prospectively compares tumor volumes on MRI and PET at multiple timepoints throughout the treatment course and evaluates volumetric changes with therapy.

METHODS: We prospectively enrolled 8 adults with IDH-wildtype glioblastoma treated with surgery and chemoradiation between September 2019 and 2021. Participants underwent paired 18 F-Fluciclovine PET/CT and conventional MRI at four timepoints: preoperatively, pre-radiation, and at one- and …

B-Cell-Specific Wwox Deletion Promotes Plasmablastic Tumor Development And Proinflammatory Signatures In Myeloma Model, Tabish Hussain, Matthew D Bramble, Bin Liu, Martin C Abba, Marta Chesi, C Marcelo Aldaz

Faculty, Staff and Student Publications

Deletions and translocations affecting WWOX accompanied by loss of expression are frequently observed in B-cell neoplasms and are linked to poor prognosis. Our previous research showed that Wwox deletion early in B-cell development induces genomic instability, neoplastic transformation, and monoclonal gammopathies in mice. In this study, by crossing Cd19 Wwox knockout (KO) with Vk^∗MYC myeloma model mice, we generated a model with concurrent Wwox deletion and MYC activation, reproducing 2 common oncogenic alterations in B- and plasma-cell cancers. We observed that Vk^∗MYC:Wwox KO mice exhibited significantly reduced survival rates primarily due to the development of plasmablastic …

Acute Kidney Injury Is Associated With Elevated Urinary Endotrophin, Amanda J Clark, Brenda Mendoza Flores, Marie Christelle Saade, Kyle Q Vu, Isaac J Pence, Ningyan Zhang, Zhiqiang An, Dawei Bu, Philipp E Scherer, Samir M Parikh

Faculty, Staff and Student Publications

Acute kidney injury (AKI) is prevalent among hospitalized patients. Novel biomarkers are needed to diagnose AKI and target therapies. Endotrophin (ETP) is a molecule released during collagen type VI formation that may promote injury and fibrosis. Although serum ETP elevation has been associated with adverse outcomes in AKI, urinary ETP has not been assessed in AKI, nor has ETP been evaluated in a pediatric population. Urine samples were collected from a tertiary children's hospital. Medical records were reviewed, and patients who met criteria were sorted into three categories:

In Silico Assessment Of Cellular Damage From Lu-177, Ac-225, And Pb-212 Therapeutic Radionuclides, Konstantinos P Chatzipapas, Konstantinos Papachristou, Dimitris Visvikis, Sebastien Incerti, John D Hazle, George C Kagadis

Faculty, Staff and Student Publications

Background: Targeted radionuclide therapy (TRT) has emerged as a unique and effective treatment modality for cancer. Monte Carlo simulations have greatly advanced investigations into radiation-caused DNA damage, including the complexity of this damage.

Purpose: This study aimed to evaluate DNA damage induced by high-linear energy transfer therapeutic radionuclides used in TRT, specifically 225Ac, 177Lu, and 212Pb, using Geant4-DNA Monte Carlo simulations.

Methods: The Geant4-DNA toolkit, incorporating the "molecularDNA" example, was employed to simulate radiation interactions within a human fibroblast cell model featuring a fractal chromatin fiber geometry within an ellipsoidal nucleus. Three source geometries (membrane, cytoplasm, nucleus) were modeled to …

A Practice-Based Framework For Teaching Geography At The Secondary Level, Kyle F. Tredinnick

Department of Geography: Dissertations, Theses, and Student Research

Further work is necessary to carry out the goals set forth in geography education initiatives like the Geography for Life: National Geography Standards and Road Map for 21^st Century Geography Education Project. Methods to communicate the focus of geographic lessons at the secondary level can help guide teachers who are otherwise unaware of the ability for geography to answer questions and develop solutions to problems. Research and development of effective instructional tools to teach geography is needed. This research aims to provide a practice-based model for lesson-development in geography, as supported in academic literature. Input from higher-education faculty …

Hypertension Prevention Program And Its Effects On Blood Pressure Levels Among Young Adults In A Christian Community In Southwest Michigan, Cindel Hollancid

Doctor of Nursing Practice Projects

Background

Although the majority of patients who present are adults over the age of 40 years old; with blood pressures ranging from 140/88 – 190/110 and many times higher readings, it was intriguing and important to assess whether a direct intervention, teaching young adults ages 18 – 39 years the benefits of lifestyle choices would be beneficial as a preventative measure to implement for hypertension reduction patterns as one ages. According to Hinton et al. (2019), hypertension affects 1 in 8 adults between the ages of 20 and 40 years old and is thus common among young people; with the …

Blue Bird: Building The Right Path, Yuanto Kusnadi, Wee Kiat Lim

Research Collection School Of Accountancy

How Indonesia's leading mobility provider pursued twin transformations involving sustainable growth and digitalisation.

Price Dislocations: Insights From Trade Repository Data, Albert Menkveld, Lucas Saru, Shihao Yu

Research Collection Lee Kong Chian School Of Business

This paper identifies price dislocation events in EuroSTOXX 50 futures, i.e., periods marked by high absolute returns. Combining public limit order book data with confidential trade repository data collected under the European Market Infrastructure Regulation (EMIR), we analyze market conditions around such dislocations. We find that price dislocations are accompanied by an increase in trading volume, and in the number of trades. EMIR data enables us to identify who participates in these trades, which allows us to tell if the volume increase is driven by fewer investors trading more, i.e., a more concentrated market, or by more investors participating. The …

How Behavioral Science Can Improve The Return On Ai Investments, David De Cremer, Shane Schweitzer, Jack Mcguire, Devesh Narayanan

Research Collection Lee Kong Chian School Of Business

Many AI projects fail because leaders treat adoption as a tech purchase instead of a behavioral change problem. People resist tools that disrupt routines, overreact to visible AI errors, and prefer familiar human judgment. As a result, even good systems fail to gain purchase. Leaders can address this problem by applying “Behavioral Human-Centered AI” across the AI adoption cycle. In the design phrase, companies should co-design with diverse users, add purposeful friction where it improves scrutiny, require beta tests with subgroup results and behavioral input. During adoption, they should frame AI as an augmenter, disclose limits and safeguards, use explainability …

Building Confidence For Class Participation, Tamas Makany, Ivy Seow

Research Collection Lee Kong Chian School Of Business

What happens to students’ critical thinking when half the class filters their thoughts through AI? During a recent debate on AI policy in education, one student mentioned they routinely run their ideas through ChatGPT before speaking up. When I asked who else did the same, more than half the class raised their hands.

An Analysis Of How Autistic Burnout Relates To Posttraumatic Stress In Autistic Adults, Antonio F Pagán, Madeline J Bruce, Juliana L Vanderburg, Grace Sattem, Katherine A Loveland, Ron Acierno

Faculty, Staff and Student Publications

This study investigated the relationship between autistic burnout and posttraumatic stress symptoms (PTSS) in trauma-exposed autistic adults without intellectual disability (n = 91). Cross-sectional relationships between autistic burnout (measured by the ABSI), PTSS (PCL-5), depression (PHQ-9), and anxiety (GAD-7) were assessed using Pearson correlations. To examine the distinctiveness of autistic burnout from posttraumatic stress, an exploratory factor analysis was conducted on ABSI and PCL-5 data. A strong correlation was found between autistic burnout and PTSS (r = .70, p < .001), an exploratory factor analysis suggested shared underlying factors. These findings indicate a close relationship between autistic burnout and …

Analysis Of Content Related To Retrograde Cricopharyngeal Dysfunction On Tiktok: Opportunities For Patient Education And Advocacy, Aidan Wright, Nathaniel Hunter, Vivian Jin, Andrew Tritter

Faculty, Staff and Student Publications

Objective: TikTok has experienced exponential growth as a social media platform, with over 1 billion active users. Concurrently, retrograde cricopharyngeal dysfunction (RCPD) has seen a surge in awareness among patients and on social media. Our objective was to characterize the most popular RCPD-related content on TikTok.

Methods: The top 50 videos associated with the following hashtags were analyzed: "RCPD," "noburp," "retrograde cricopharyngeal dysfunction," and "noburpsyndrome." Recorded metrics included views, likes, and comments, along with information regarding the creator's identity, gender, geographical location, and the video's purpose.

Results: One hundred and three videos were included in the final analysis, with a …

Intelligent Method Of Dynamic Control For A Class Of Stochastic Nonlinear Systems, Isamidin Khakimovich Siddikov, Davronbek Abdalimovich Khalmatov, Gulchekhra Rakhimjanovna Alimova, Dilnoza Rakhmanovna Khushnazarova

Chemical Technology, Control and Management

The paper considered the problems of researching the stabilisation system and backstepping control of stochastic nonlinear systems. The characteristics of stochastic nonlinear dynamic control systems are random signals with normal lawful distribution, which significantly complicates task control. In stochastic control, it is necessary to determine the trajectories of the control variables in order to achieve the desired control objective at minimum cost. Since the mathematical equations of stochastic nonlinear systems are not always constant, not every model-based controller can be accurate. Therefore, in this work, a neuro-fuzzy network is used to evaluate the parameters of the control system with backstepping, …