Digital Commons Network^™

Batchflex: Feature-Level Equalization Of X-Batch., Joshua T. Davis, Alyssa N. Obermayer, Alex C. Soupir, Rebecca S. Hesterberg, Thac Duong, Ching-Yao Yang, Ken Phong Dao, Brandon J. Manley, G Daniel Grass, Dorina Avram, Paulo C. Rodriguez, Brooke L. Fridley, Xiaoqing Yu, Mingxiang Teng, Xuefeng Wang, Timothy I. Shaw

Manuscripts, Articles, Book Chapters and Other Papers

MOTIVATION: Integrative analysis of heterogeneous expression data remains challenging due to variations in platform, RNA quality, sample processing, and other unknown technical effects. Selecting the approach for removing unwanted batch effects can be a time-consuming and tedious process, especially for more biologically focused investigators.

RESULTS: Here, we present BatchFLEX, a Shiny app that can facilitate visualization and correction of batch effects using several established methods. BatchFLEX can visualize the variance contribution of a factor before and after correction. As an example, we have analyzed ImmGen microarray data and enhanced its expression signals that distinguishes each immune cell type. Moreover, our …

A Love That Harms: Violent Love Imagery In Hadewijch Of Brabant And The Influence Of Richard Of Saint Victor, Kenneth Hoyt

Dissertations (1934 -)

That medieval women mystics utilized violent imagery in regards to Love, and, subsequently, their union with it, is well established in the scholarly literature. The approaches to this imagery differ in their conceptions and approaches to the women: some approach via the influence of courtly literature and thus see it as an expression of a literary genre; others apply more modern critiques, seen in feminist and gender theory approaches, where, usually following Foucault, the emphasis is on how the language effects or disrupts medieval power structures; others approach the women from a historical lens, placing the women’s language as an …

Exploring The Influence Of Molecular Chaperones On The Aggregation Of Transthyretin, Adam S. Knier

Dissertations (1934 -)

Molecular chaperones assist in maintaining protein homeostasis by limiting protein aggregation, including populations of protein aggregates that may be associated with the onset of debilitating and/or often fatal diseases. Chaperones are known to limit protein aggregate populations through disaggregase activity, in which chaperone complexes work together to disassemble multi-subunit aggregate species into smaller populations, or holdase activity, in which chaperones bind to proteins or smaller aggregates to prevent further aggregation. In this dissertation we assess if molecular chaperones can limit the aggregation of human transthyretin (TTR) expressed within a yeast system and explore the relationship between chaperone concentration and activity. …

The Tragedy Of Our Trajectory, Marisola Xhelili Ciaccio

Dissertations (1934 -)

In this project, I argue that the trajectory of Western European civilization has resulted in increasingly tragic predicaments that are not to be taken as given features of being human. Though both Ancient Western and Eastern wisdom traditions concur that suffering is a part of life, the point of living is not to suffer but to learn to overcome it and flourish. But because the purported successes of Western “progress” necessarily depend on structural oppression, and oppression produces superfluous sufferings that interfere with our capacities to actualize our freedom and flourish, they ultimately make us all worse-off. Reflecting on such …

The Role Of Aldh1a1 In Glioblastoma Proliferation And Invasion, Yu-Kai Huang, Tzu-Ming Wang, Chi-Yu Chen, Chia-Yang Li, Shu-Chi Wang, Khushboo Irshad, Yuan Pan, Kun-Che Chang

Faculty, Staff and Student Publications

High-grade gliomas, including glioblastoma multiforme (GBM), continue to be a leading aggressive brain tumor in adults, marked by its rapid growth and invasive nature. Aldehyde dehydrogenase 1 family, member A1 (ALDH1A1), an enzyme, plays a significant role in tumor progression, yet its function in high-grade gliomas is still poorly investigated. In this study, we evaluated ALDH1A1 levels in clinical samples of GBM. We also assessed the prognostic significance of ALDH1A1 expression in GBM and LGG (low grade glioma) patients using TCGA (The Cancer Genome Atlas) database analysis. The MTT and transwell assays were utilized to examine cell growth and the …

Emergency Physicians Spend More Time Caring For Patients Who Prefer A Language Other Than English Which May Not Be Accounted For In Reimbursement Structures, Martin A Reznek, Jennifer Edwards, Sean S Michael, Jacqueline Furbacher, Alexandra Sanseverino, Payal K Modi, Kevin A Kotkowski, Celine Larkin

Faculty, Staff and Student Publications

Background: Emergency departments increasingly serve patients who prefer a language other than English. Honoring patients' language preferences is crucial for quality and cultural appropriateness of care. We sought to assess whether time spent in caring for patients who preferred a language other than English differed from patients whose language preference was English. Secondarily, we sought to assess professional reimbursement across the two groups.

Methods: We retrospectively analyzed an existing dataset from a time-in-motion study that included direct observation measurements of emergency physicians' time spent during patient encounters. Our primary outcome was physician time spent conducting patient care, comparing patients who …

Does Time To Initiation Of Adjuvant Radiotherapy Affect Reconstruction Outcomes After Endoscopic Resection Of Skull Base Malignancies?, Franco Rubino, Bledi Brahimaj, Ehab Y Hanna, Shirley Y Su, Jack Phan, David R Grosshans, Franco Demonte, Shaan M Raza

Faculty, Staff and Student Publications

No abstract provided.

Menin Inhibitors In Pediatric Acute Leukemia: A Comprehensive Review And Recommendations To Accelerate Progress In Collaboration With Adult Leukemia And The International Community, Branko Cuglievan, Hagop Kantarjian, Jeffrey E Rubnitz, Todd M Cooper, C Michel Zwaan, Jessica A Pollard, Courtney D Dinardo, Tapan M Kadia, Erin Guest, Nicholas J Short, David Mccall, Naval Daver, Cesar Nunez, Fadi G Haddad, Miriam Garcia, Kapil N Bhalla, Abhishek Maiti, Samanta Catueno, Warren Fiskus, Bing Z Carter, Amber Gibson, Michael Roth, Sajad Khazal, Priti Tewari, Hussein A Abbas, Wallace Bourgeois, Michael Andreeff, Neerav N Shukla, Danh D Truong, Jeremy Connors, Joseph A Ludwig, Janine Stutterheim, Elisabeth Salzer, Kristian L Juul-Dam, Koji Sasaki, Kris M Mahadeo, Sarah K Tasian, Gautam Borthakur, Samantha Dickson, Nitin Jain, Elias Jabbour, Soheil Meshinchi, Guillermo Garcia-Manero, Farhad Ravandi, Eytan M Stein, E Anders Kolb, Ghayas C Issa

Faculty, Staff and Student Publications

Aberrant expression of HOX and MEIS1 family genes, as seen in KMT2A-rearranged, NUP98-rearranged, or NPM1-mutated leukemias leads to arrested differentiation and leukemia development. HOX family genes are essential gatekeepers of physiologic hematopoiesis, and their expression is regulated by the interaction between KMT2A and menin. Menin inhibitors block this interaction, downregulate the abnormal expression of MEIS1 and other transcription factors and thereby release the differentiation block. Menin inhibitors show significant clinical efficacy against KMT2A-rearranged and NPM1-mutated acute leukemias, with promising potential to address unmet needs in various pediatric leukemia subtypes. In this collaborative initiative, pediatric and adult hematologists/oncologists, and stem cell …

Il-22 Resolves Masld Via Enterocyte Stat3 Restoration Of Diet-Perturbed Intestinal Homeostasis, Peng Zhang, Junlai Liu, Allen Lee, Irene Tsaur, Masafumi Ohira, Vivian Duong, Nicholas Vo, Kosuke Watari, Hua Su, Ju Youn Kim, Li Gu, Mandy Zhu, Shabnam Shalapour, Mojgan Hosseini, Gautam Bandyopadhyay, Suling Zeng, Cristina Llorente, Haoqi Nina Zhao, Santosh Lamichhane, Siddharth Mohan, Pieter C Dorrestein, Jerrold M Olefsky, Bernd Schnabl, Pejman Soroosh, Michael Karin

Faculty, Staff and Student Publications

The exponential rise in metabolic dysfunction-associated steatotic liver disease (MASLD) parallels the ever-increasing consumption of energy-dense diets, underscoring the need for effective MASLD-resolving drugs. MASLD pathogenesis is linked to obesity, diabetes, "gut-liver axis" alterations, and defective interleukin-22 (IL-22) signaling. Although barrier-protective IL-22 blunts diet-induced metabolic alterations, inhibits lipid intake, and reverses microbial dysbiosis, obesogenic diets rapidly suppress its production by small intestine-localized innate lymphocytes. This results in STAT3 inhibition in intestinal epithelial cells (IECs) and expansion of the absorptive enterocyte compartment. These MASLD-sustaining aberrations were reversed by administration of recombinant IL-22, which resolved hepatosteatosis, inflammation, fibrosis, and insulin resistance. Exogenous …

Methods For Pragmatic Randomized Clinical Trials Of Pain Therapies: Immpact Statement, David Hohenschurz-Schmidt, Dan Cherkin, Andrew S C Rice, Robert H Dworkin, Dennis C Turk, Michael P Mcdermott, Matthew J Bair, Lynn L Debar, Robert R Edwards, Scott R Evans, John T Farrar, Robert D Kerns, Michael C Rowbotham, Ajay D Wasan, Penney Cowan, Mckenzie Ferguson, Roy Freeman, Jennifer S Gewandter, Ian Gilron, Hanna Grol-Prokopczyk, Smriti Iyengar, Cornelia Kamp, Barbara I Karp, Bethea A Kleykamp, John D Loeser, Sean Mackey, Richard Malamut, Ewan Mcnicol, Kushang V Patel, Kenneth Schmader, Lee Simon, Deborah J Steiner, Christin Veasley, Jan Vollert

Faculty, Staff and Student Publications

Pragmatic, randomized, controlled trials hold the potential to directly inform clinical decision making and health policy regarding the treatment of people experiencing pain. Pragmatic trials are designed to replicate or are embedded within routine clinical care and are increasingly valued to bridge the gap between trial research and clinical practice, especially in multidimensional conditions, such as pain and in nonpharmacological intervention research. To maximize the potential of pragmatic trials in pain research, the careful consideration of each methodological decision is required. Trials aligned with routine practice pose several challenges, such as determining and enrolling appropriate study participants, deciding on the …

Astrocyte-Induced Cdk5 Expedites Breast Cancer Brain Metastasis By Suppressing Mhc-I Expression To Evade Immune Recognition, Arseniy E Yuzhalin, Frank J Lowery, Yohei Saito, Xiangliang Yuan, Jun Yao, Yimin Duan, Jingzhen Ding, Sunil Acharya, Chenyu Zhang, Abigail Fajardo, Hao-Nien Chen, Yongkun Wei, Yutong Sun, Lin Zhang, Yi Xiao, Ping Li, Philip L Lorenzi, Jason T Huse, Huihui Fan, Zhongming Zhao, Mien-Chie Hung, Dihua Yu

Faculty, Staff and Student Publications

Brain metastases (BrMs) evade the immune response to develop in the brain, yet the mechanisms of BrM immune evasion remains unclear. This study shows that brain astrocytes induce the overexpression of neuronal-specific cyclin-dependent kinase 5 (Cdk5) in breast cancer-derived BrMs, which facilitates BrM outgrowth in mice. Cdk5-overexpressing BrMs exhibit reduced expression and function of the class I major histocompatibility complex (MHC-I) and antigen-presentation pathway, which are restored by inhibiting Cdk5 genetically or pharmacologically, as evidenced by single-cell RNA sequencing and functional studies. Mechanistically, Cdk5 suppresses MHC-I expression on the cancer cell membrane through the Irf2bp1-Stat1-importin α-Nlrc5 pathway, enabling BrMs to …

The Qiba Profile For Diffusion-Weighted Mri: Apparent Diffusion Coefficient As A Quantitative Imaging Biomarker, Michael A Boss, Dariya Malyarenko, Savannah Partridge, Nancy Obuchowski, Amita Shukla-Dave, Jessica M Winfield, Clifton D Fuller, Kevin Miller, Virendra Mishra, Michael Ohliger, Lisa J Wilmes, Raj Attariwala, Trevor Andrews, Nandita M Desouza, Daniel J Margolis, Thomas L Chenevert

Faculty, Staff and Student Publications

The apparent diffusion coefficient (ADC) provides a quantitative measure of water mobility that can be used to probe alterations in tissue microstructure due to disease or treatment. Establishment of the accepted level of variance in ADC measurements for each clinical application is critical for its successful implementation. The Diffusion-Weighted Imaging Biomarker Committee of the Quantitative Imaging Biomarkers Alliance (QIBA) has recently advanced the ADC Profile from the consensus to clinically feasible stage for the brain, liver, prostate, and breast. This profile distills multiple studies on ADC repeatability and describes detailed procedures to achieve stated performance claims on an observed ADC …

Targeting Multiple Receptor Tyrosine Kinases With Sitravatinib: A Phase 1b Study In Advanced Renal Cell Carcinoma And Castrate-Resistant Prostate Cancer, Shubham Pant, Byoung Chul Cho, Christos E Kyriakopoulos, Alexander Spira, Nizar Tannir, Theresa L Werner, Xiaohong Yan, Saskia Neuteboom, Richard Chao, Sanjay Goel

Faculty, Staff and Student Publications

Sitravatinib (MGCD516) is an oral inhibitor of several closely related oncogenic tyrosine kinase receptors that include VEGFR-2 (vascular endothelial growth factor receptor-2), AXL, and MET (mesenchymal-epithelial transition). The safety and antitumor activity of sitravatinib are reported in patients from two histologic cohorts (anti-angiogenesis-refractory clear cell renal cell carcinoma [RCC] and castrate-resistant prostate cancer [CRPC] with bone metastases) who participated in a Phase 1/1b study. The patients were enrolled using a 3-stage design that was based on observed objective responses. Objective response rate (ORR) was the primary endpoint. Duration of response, progression-free survival (PFS), overall survival (OS), and safety were also …

Targeting The Peripheral Neural-Tumour Microenvironment For Cancer Therapy, Dan Yaniv, Brandi Mattson, Sebastien Talbot, Frederico O Gleber-Netto, Moran Amit

Faculty, Staff and Student Publications

As the field of cancer neuroscience expands, the strategic targeting of interactions between neurons, cancer cells and other elements in the tumour microenvironment represents a potential paradigm shift in cancer treatment, comparable to the advent of our current understanding of tumour immunology. Cancer cells actively release growth factors that stimulate tumour neo-neurogenesis, and accumulating evidence indicates that tumour neo-innervation propels tumour progression, inhibits tumour-related pro-inflammatory cytokines, promotes neovascularization, facilitates metastasis and regulates immune exhaustion and evasion. In this Review, we give an up-to-date overview of the dynamics of the tumour microenvironment with an emphasis on tumour innervation by the peripheral …

Extent Of Resection Thresholds In Molecular Subgroups Of Newly Diagnosed Isocitrate Dehydrogenase-Wildtype Glioblastoma, Antonio Dono, Ping Zhu, Takeshi Takayasu, Octavio Arevalo, Roy Riascos, Nitin Tandon, Leomar Y Ballester, Yoshua Esquenazi

Faculty, Staff and Student Publications

Background and objectives: Maximizing the extent of resection (EOR) improves outcomes in glioblastoma (GBM). However, previous GBM studies have not addressed the EOR impact in molecular subgroups beyond IDH1/IDH2 status. In the current article, we evaluate whether EOR confers a benefit in all GBM subtypes or only in particular molecular subgroups.

Methods: A retrospective cohort of newly diagnosed GBM isocitrate dehydrogenase (IDH)-wildtype undergoing resection were prospectively included in a database (n = 138). EOR and residual tumor volume (RTV) were quantified with semiautomated software. Formalin-fixed paraffin-embedded tumor tissues were analyzed by targeted next-generation sequencing. The association between recurrent genomic alterations …

Genevic: Genetic Data Exploration And Visualization Via Intelligent Interactive Console, Anindita Nath, Savannah Mwesigwa, Yulin Dai, Xiaoqian Jiang, Zhongming Zhao

Faculty, Staff and Student Publications

The vast generation of genetic data poses a significant challenge in efficiently uncovering valuable knowledge. Introducing GENEVIC, an AI-driven chat framework that tackles this challenge by bridging the gap between genetic data generation and biomedical knowledge discovery. Leveraging generative AI, notably ChatGPT, it serves as a biologist’s “copilot.” It automates the analysis, retrieval, and visualization of customized domain-specific genetic information, and integrates functionalities to generate protein interaction networks, enrich gene sets, and search scientific literature from PubMed, Google Scholar, and arXiv, making it a comprehensive tool for biomedical research. In its pilot phase, GENEVIC is assessed using a curated database …

Antiangiogenic Tyrosine Kinase Inhibitors Have Differential Efficacy In Clear Cell Renal Cell Carcinoma In Bone, Stefan Maksimovic, Nina C Boscolo, Ludovica La Posta, Sergio Barrios, Mohammad Jad Moussa, Emanuela Gentile, Pedro I Pesquera, Wenjiao Li, Jianfeng Chen, Javier A Gomez, Akshay Basi, Jared K Burks, Christopher Alvarez-Breckenridge, Jianjun Gao, Matthew T Campbell, Eleonora Dondossola

Faculty, Staff and Student Publications

Clear cell renal cell carcinoma (ccRCC) is the most prevalent kidney neoplasm; bone metastasis (BM) develops in 35% to 40% of metastatic patients and results in substantial morbidity and mortality, as well as medical costs. A key feature of ccRCC is the loss of function of the von Hippel-Lindau protein, which enhances angiogenesis via vascular endothelial growth factor release. Consequently, antiangiogenic tyrosine kinase inhibitors (TKI) emerged as a treatment for ccRCC. However, limited data about their efficacy in BM is available, and no systematic comparisons have been performed. We developed mouse models of bone and lung ccRCC tumors and compared …

Improving Access In Medical Physics Residency Programs For Physicists With Disabilities, Jessica M Fagerstrom, Grace Eliason, Hania Al-Hallaq, Brian A Taylor, Muhammad Ramish Ashraf, Natalie Viscariello

Faculty, Staff and Student Publications

Within the landscape of medical physics education, residency programs are instrumental in imparting hands-on training and experiential knowledge to early-career physicists. Ensuring access to educational opportunities for physicists with disabilities is a legal, ethical, and pragmatic requirement for programs, considering that a significant proportion of the United States population has a disability. Grounded in conceptual frameworks of competency-based medical education and the social model of disability, this work provides an introduction to some practical recommendations for medical physics residency programs. Strategies include embracing universal design principles, fostering partnerships with disability service offices, using inclusive language, developing and publicizing clear procedures …

Imageable Radioembolization Microspheres For Treatment Of Unresectable Hepatocellular Carcinoma: Interim Results From A First-In-Human Trial, Robert J Abraham, Aravind Arepally, David Liu, Robert Lewandowski, S Cheenu Kappadath, Amit Verma, David Dobrowski, Andrew Holden

Faculty, Staff and Student Publications

Purpose: To determine 6-month interim safety, effectiveness, and multimodal imageability of imageable glass microsphere yttrium-90 (90Y) radioembolization for unresectable hepatocellular carcinoma (HCC) in a first-in-human trial.

Materials and methods: Imageable microspheres (Eye90 Microspheres; ABK Biomedical, Halifax, Nova Scotia, Canada), a U.S. Food and Drug Administration (FDA) Breakthrough-Designated Device consisting of glass radiopaque 90Y microspheres visible on computed tomography (CT) and single photon emission CT (SPECT), were used to treat 6 subjects with unresectable HCC. Patients underwent selective (≤2 segments) treatment in a prospective open-label pilot trial. Key inclusion criteria included liver-only HCC, performance status ≤1, total lesion diameter ≤9 cm, …

Columbia-1: A Randomised Study Of Durvalumab Plus Oleclumab In Combination With Chemotherapy And Bevacizumab In Metastatic Microsatellite-Stable Colorectal Cancer, Neil H Segal, Jeanne Tie, Scott Kopetz, Michel Ducreux, Eric Chen, Rodrigo Dienstmann, Antoine Hollebecque, Matthew J Reilley, Elena Elez, Jan Cosaert, Jason Cain, Yee Soo-Hoo, Nicola Hewson, Zachary A Cooper, Rakesh Kumar, Josep Tabernero

Faculty, Staff and Student Publications

Background: To determine whether the addition of durvalumab (anti-PD-L1) and oleclumab (anti-CD73) to standard-of-care treatment (FOLFOX and bevacizumab) enhances the anti-tumour effect in patients with metastatic colorectal cancer (mCRC).

Methods: COLUMBIA-1 (NCT04068610) was a Phase Ib (feasibility; Part 1)/Phase II (randomised; Part 2) trial in patients with treatment-naïve microsatellite stable mCRC. Patients in Part 2 were randomised to receive standard-of-care (control arm) or standard-of-care plus durvalumab and oleclumab (experimental arm). Primary objectives included safety and efficacy.

Results: Seven patients were enrolled in Part 1 and 52 in Part 2 (n = 26 in each arm). Grade ≥3 treatment-emergent …

Real-Time Synthesis Of A Nonuniformly Correlated, Partially Coherent Beam Using An Optical Coordinate Tansformation, Milo W. Hyde Iv

Faculty Publications

We design, build, and validate an optical system for generating light beams with complex spatial coherence properties in real time. Beams of this type self-focus and are resistant to turbulence degradation, making them potentially useful in applications such as optical communications. We begin with a general theoretical analysis of our proposed design. Our approach starts by generating a Schell-model (uniformly correlated or shift-invariant) source by spatially filtering incoherent light. We then pass this light through an optical coordinate transformer, which converts the Schell-model source into a nonuniformly correlated field. After the general analysis, we discuss system engineering, including trade-offs among …

Unlocking Ferroptosis In Prostate Cancer – The Road To Novel Therapies And Imaging Markers, Pham Hong Anh Cao, Abishai Dominic, Fabiola Ester Lujan, Sanjanaa Senthilkumar, Pratip K Bhattacharya, Daniel E Frigo, Elavarasan Subramani

Faculty, Staff and Student Publications

Ferroptosis is a distinct form of regulated cell death that is predominantly driven by the build-up of intracellular iron and lipid peroxides. Ferroptosis suppression is widely accepted to contribute to the pathogenesis of several tumours including prostate cancer. Results from some studies reported that prostate cancer cells can be highly susceptible to ferroptosis inducers, providing potential for an interesting new avenue of therapeutic intervention for advanced prostate cancer. In this Perspective, we describe novel molecular underpinnings and metabolic drivers of ferroptosis, analyse the functions and mechanisms of ferroptosis in tumours, and highlight prostate cancer-specific susceptibilities to ferroptosis by connecting ferroptosis …

Radiation-Induced Lymphopenia Is A Causal Mediator Of Survival After Chemoradiation Therapy For Esophagus Cancer, Yiqing Chen, Yan Chu, Peter S N Van Rossum, Clemens Grassberger, Steven H Lin, Radhe Mohan, Brian P Hobbs

Faculty, Staff and Student Publications

PURPOSE: Radiation-induced lymphopenia (RIL) is common during chemoradiation therapy. Severe lymphopenia is associated with reduced survival. Proton beam therapy (PBT), with its substantially more compact dose distributions, spares circulating lymphocytes and immune organs at risk to a greater extent than photon therapy. Recent studies comparing PBT to photon radiation therapy, specifically intensity-modulated radiation therapy (IMRT) for esophageal cancer (EC), showed that the incidence of grade 4 RIL (G4RIL) is significantly reduced among patients receiving PBT for EC. However, whether the extent of this reduction has a direct causative link with improved survival is unknown. This study applies causal mediation analysis …

Exploring Age And Gender Disparities In Cardiometabolic Phenotypes And Lipidomic Signatures Among Chinese Adults: A Nationwide Cohort Study, Xiaojing Jia, Hong Lin, Ruizhi Zheng, Shuangyuan Wang, Yilan Ding, Chunyan Hu, Mian Li, Yu Xu, Min Xu, Guixia Wang, Lulu Chen, Tianshu Zeng, Ruying Hu, Zhen Ye, Lixin Shi, Qing Su, Yuhong Chen, Xuefeng Yu, Li Yan, Tiange Wang, Zhiyun Zhao, Guijun Qin, Qin Wan, Gang Chen, Meng Dai, Di Zhang, Bihan Qiu, Xiaoyan Zhu, Jie Zheng, Xulei Tang, Zhengnan Gao, Feixia Shen, Xuejiang Gu, Zuojie Luo, Yingfen Qin, Li Chen, Xinguo Hou, Yanan Huo, Qiang Li, Yinfei Zhang, Chao Liu, Youmin Wang, Shengli Wu, Tao Yang, Huacong Deng, Jiajun Zhao, Yiming Mu, Shenghan Lai, Donghui Li, Weiguo Hu, Guang Ning, Weiqing Wang, Yufang Bi, Jieli Lu, 4c Study Group

Faculty, Staff and Student Publications

Understanding sex disparities in modifiable risk factors across the lifespan is essential for crafting individualized intervention strategies. We aim to investigate age-related sex disparity in cardiometabolic phenotypes in a large nationwide Chinese cohort. A total of 254,670 adults aged 40 years or older were selected from a population-based cohort in China. Substantial sex disparities in the prevalence of metabolic diseases were observed across different age strata, particularly for dyslipidemia and its components. Generalized additive models were employed to characterize phenotype features, elucidating how gender differences evolve with advancing age. Half of the 16 phenotypes consistently exhibited no sex differences, while …

A Novel Deep Learning Model For Tool Wear Estimation Of Cutting Tools, Ahmed Darwish

Sustainable Machine Intelligence Journal

In cutting tools, tool wear may result in low-quality surfaces and precision in dimensional measurement. Tool wear may additionally result in fractures and harm to the workpieces over operations. It's critical to track tool wear in life in order to avoid these situations. This research proposes a data-driven deep learning strategy to improve the accuracy of cutting tool wear estimates. This technique combines a Gated Recurrent Unit (GRU) with a Convolutional Neural Network (CNN). In order to circumvent the problems associated with single-domain features that lack appropriate tool status data, a multi-domain combination technique was used to develop candidate features. …

Revolutionizing Early Detection: The Influence Of Machine Learning In Esophageal Adenocarcinoma Diagnosis, Rabia Younas, Hafiz Burhan Ul Haq, Hafsa Naveed

Sustainable Machine Intelligence Journal

Machine learning is an analysis technique of big data that uses computers and mathematical models to develop algorithms. These algorithms are applied in many situations and one of the most common uses is in developing prediction models. Machine learning is the activity of making prognosis of other data points which are related to the self using key factors from a dataset. It is designed to effectively predict the dysplasia within a given setting using machine learning algorithms on a dataset with primary focus on Barrett’s Esophagus. The study investigates the use of five classification methods: As per the classification, the …

Im4.0ef: Tele-Medical Realization Via Integrating Vague T2nss With Owcm-Ram Toward Intelligent Medical 4.0 Evaluator Framework, Alaa Salem, Mona Mohamed, Florentin Smarandache

Sustainable Machine Intelligence Journal

In the modern world, when nearly everyone considers the Internet to be indispensable, there is a constant desire to discover new applications for the technologies that are already in place. As well, recent research has found several synonyms for the adoption of information and communication technology. Industry 4.0, Industry 5.0, and modern technologies are some of these synonyms. Harnessing these technologies in important domains such as medical services and healthcare is vital. Wherein, the medical field has undergone changes, going from version 1.0 to version 4.0 currently. Medical 4.0 represents a significant advancement in medical practices and systems, leveraging cutting-edge …

Enhancing The Recognition Of Handwritten Arabic Characters Through Hybrid Convolutional And Bidirectional Recurrent Neural Network Models, Mohamed G. Mahdi, Ahmed Sleem, Ibrahim M. Elhenawy, Soha Safwat

Sustainable Machine Intelligence Journal

Handwritten Arabic character recognition remains a challenging task in pattern recognition due to the inherent complexities of the cursive script and visual similarities between characters. While deep learning techniques have demonstrated promising results in this domain, further enhancements to the model architecture can drive even greater performance improvements. This study introduces a hybrid deep learning approach that combines Convolutional Neural Networks (CNNs) with Bidirectional Recurrent Neural Networks, specifically Bidirectional Long Short-Term Memory (Bi-LSTM) and Bidirectional Gated Recurrent Units (Bi-GRU). By leveraging the strengths of both convolutional and recurrent neural network components, the proposed models are able to effectively capture spatial …

Mitigation Of Fluoride Contamination In Drinking Water Supply Sources By Adsorption Using Bone Char: Effects Of Mineral And Organic Matrix, Mohamed Raoul Ibrahim, Joshua Akinropo Oyetade, Sadou Dalhatou, Anton Nikiforov, Christophe Leys, Askwar Hilonga

All Rsif Scholars' Publications

This study focused on fluoride (F⁻) contamination of water sources in Bahimi village, Cameroon. After the first investigation, results revealed that all water samples collected had elevated concentrations of fluoride ions (2.3 ± 0.1) mg/L to (4.5 ± 0.2) mg/L above the WHO guidelines (less than 1.5 mg/L). To mitigate the F⁻ levels, the use of bone char (BC) as an adsorbent material was proposed and its performance was tested. BC was prepared from bovine bones at different calcination temperatures (350 °C, 450 °C, 550 °C and 650 °C) and residence times (1 h and 2 h). …

Pharmvar Genefocus: Cyp4f2., Pablo Zubiaur, Cristina Rodríguez-Antona, Erin C. Boone, Ann K. Daly, Evangelia Eirini Tsermpini, Lubna Q. Khasawneh, Katrin Sangkuhl, Jorge Duconge, Mariana R. Botton, Jessica Savieo, Charity Nofziger, Michelle Whirl-Carrillo, Teri E. Klein, Andrea Gaedigk

Manuscripts, Articles, Book Chapters and Other Papers

The Pharmacogene Variation Consortium (PharmVar) serves as a global repository providing star (*) allele nomenclature for the polymorphic human CYP4F2 gene. CYP4F2 genetic variation impacts the metabolism of vitamin K, which is associated with warfarin dose requirements, and the metabolism of drugs, such as imatinib or fingolimod, and certain endogenous compounds including vitamin E and eicosanoids. This GeneFocus provides a comprehensive overview and summary of CYP4F2 genetic variation including the characterization of 14 novel star alleles, CYP4F2*4 through *17. A description of how haplotype information cataloged by PharmVar is utilized by the Pharmacogenomics Knowledgebase (PharmGKB) and the Clinical Pharmacogenetics Implementation …