Digital Commons Network^™

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 …

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 …

Inhibition Of Hepatic Oxalate Overproduction Ameliorates Metabolic Dysfunction-Associated Steatohepatitis, Sandeep Das, Alexandra C Finney, Sumit Kumar Anand, Sumati Rohilla, Yuhao Liu, Nilesh Pandey, Alia Ghrayeb, Dhananjay Kumar, Kelley Nunez, Zhipeng Liu, Fabio Arias, Ying Zhao, Brenna H Pearson-Gallion, M Peyton Mckinney, Koral S E Richard, Jose A Gomez-Vidal, Chowdhury S Abdullah, Elizabeth D Cockerham, Joseph Eniafe, Andrew D Yurochko, Tarek Magdy, Christopher B Pattillo, Christopher G Kevil, Babak Razani, Md Shenuarin Bhuiyan, Erin H Seeley, Gretchen E Galliano, Bo Wei, Lin Tan, Iqbal Mahmud, Ida Surakka, Minerva T Garcia-Barrio, Philip L Lorenzi, Eyal Gottlieb, Eduardo Salido, Jifeng Zhang, A Wayne Orr, Wanqing Liu, Monica Diaz-Gavilan, Y Eugene Chen, Nirav Dhanesha, Paul T Thevenot, Ari J Cohen, Arif Yurdagul, Oren Rom

Faculty, Staff and Student Publications

The incidence of metabolic dysfunction-associated steatohepatitis (MASH) is on the rise, and with limited pharmacological therapy available, identification of new metabolic targets is urgently needed. Oxalate is a terminal metabolite produced from glyoxylate by hepatic lactate dehydrogenase (LDHA). The liver-specific alanine-glyoxylate aminotransferase (AGXT) detoxifies glyoxylate, preventing oxalate accumulation. Here we show that AGXT is suppressed and LDHA is activated in livers from patients and mice with MASH, leading to oxalate overproduction. In turn, oxalate promotes steatosis in hepatocytes by inhibiting peroxisome proliferator-activated receptor-α (PPARα) transcription and fatty acid β-oxidation and induces monocyte chemotaxis via C-C motif chemokine ligand 2. In …

Tcellsi: A Novel Method For T Cell State Assessment And Its Applications In Immune Environment Prediction, Jing-Min Yang, Nan Zhang, Tao Luo, Mei Yang, Wen-Kang Shen, Zhen-Lin Tan, Yun Xia, Libin Zhang, Xiaobo Zhou, Qian Lei, An-Yuan Guo

Faculty, Staff and Student Publications

T cell is an indispensable component of the immune system and its multifaceted functions are shaped by the distinct T cell types and their various states. Although multiple computational models exist for predicting the abundance of diverse T cell types, tools for assessing their states to characterize their degree of resting, activation, and suppression are lacking. To address this gap, a robust and nuanced scoring tool called T cell state identifier (TCellSI) leveraging Mann-Whitney

Temporal Recording Of Mammalian Development And Precancer, Mirazul Islam, Yilin Yang, Alan J Simmons, Vishal M Shah, Krushna Pavan Musale, Yanwen Xu, Naila Tasneem, Zhengyi Chen, Linh T Trinh, Paola Molina, Marisol A Ramirez-Solano, Iannish D Sadien, Jinzhuang Dou, Andrea Rolong, Ken Chen, Mark A Magnuson, Jeffrey C Rathmell, Ian G Macara, Douglas J Winton, Qi Liu, Hamim Zafar, Reza Kalhor, George M Church, Martha J Shrubsole, Robert J Coffey, Ken S Lau

Faculty, Staff and Student Publications

Temporal ordering of cellular events offers fundamental insights into biological phenomena. Although this is traditionally achieved through continuous direct observations1,2, an alternative solution leverages irreversible genetic changes, such as naturally occurring mutations, to create indelible marks that enables retrospective temporal ordering3–5. Using a multipurpose, single-cell CRISPR platform, we developed a molecular clock approach to record the timing of cellular events and clonality in vivo, with incorporation of cell state and lineage information. Using this approach, we uncovered precise timing of tissue-specific cell expansion during mouse embryonic development, unconventional developmental relationships between cell …

Invasive Forest Pest Education Through Identification, Reporting, And Children’S Introduction Brochures, Lauren E. Keefe

Department of Entomology: Distance Master of Science Projects

Forest pest insects, whether native or non-native, can be extremely detrimental to the health of a landscape, and can contribute to massive ecological, economic, and cultural losses. Unless directly exposed to the damage these pests cause, many people do not seek to become informed on the insects. A series of brochures was thus created as a collaboration between the online UNL M.S. in Entomology requirements and a need for updated Nebraska Forest Service Forest Health brochures. These brochures focus on invasive forest insect identification and reporting, as well as introducing the concepts of the invasives to children.

Five invasive insects …

South Carolina Verifiable Training Course Presented By The Department Of Pesticide Regulation [Master's Project Slides], Stoney Bachman

Department of Entomology: Distance Master of Science Projects

Materials presenting the South Carolina verifiable training course Presented by the Department of Pesticide Regulation.

Includes a variety of supplemental materials.

A Protein Expression Atlas On Tissue Samples And Cell Lines From Cancer Patients Provides Insights Into Tumor Heterogeneity And Dependencies, Jun Li, Wei Liu, Kamalika Mojumdar, Hong Kim, Zhicheng Zhou, Zhenlin Ju, Shwetha V Kumar, Patrick Kwok-Shing Ng, Han Chen, Michael A Davies, Yiling Lu, Rehan Akbani, Gordon B Mills, Han Liang

Faculty, Staff and Student Publications

The Cancer Genome Atlas (TCGA) and the Cancer Cell Line Encyclopedia (CCLE) are foundational resources in cancer research, providing extensive molecular and phenotypic data. However, large-scale proteomic data across various cancer types for these cohorts remain limited. Here, we expand upon our previous work to generate high-quality protein expression data for approximately 8,000 TCGA patient samples and around 900 CCLE cell line samples, covering 447 clinically relevant proteins, using reverse-phase protein arrays. These protein expression profiles offer profound insights into intertumor heterogeneity and cancer dependency and serve as sensitive functional readouts for somatic alterations. We develop a systematic protein-centered strategy …

Tools And Recommendations For Commissioning And Quality Assurance Of Deformable Image Registration In Radiotherapy, Lando S Bosma, Mohammad Hussein, Michael G Jameson, Soban Asghar, Kristy K Brock, Jamie R Mcclelland, Sara Poeta, Johnson Yuen, Cornel Zachiu, Adam U Yeo

Faculty, Staff and Student Publications

Multiple tools are available for commissioning and quality assurance of deformable image registration (DIR), each with their own advantages and disadvantages in the context of radiotherapy. The selection of appropriate tools should depend on the DIR application with its corresponding available input, desired output, and time requirement. Discussions were hosted by the ESTRO Physics Workshop 2021 on Commissioning and Quality Assurance for DIR in Radiotherapy. A consensus was reached on what requirements are needed for commissioning and quality assurance for different applications, and what combination of tools is associated with this. For commissioning, we recommend the target registration error of …

Development Of An Engineered Extracellular Vesicles-Based Vaccine Platform For Combined Delivery Of Mrna And Protein To Induce Functional Immunity, Xin Luo, Kathleen M Mcandrews, Kent A Arian, Sami J Morse, Viktoria Boeker, Shreyasee V Kumbhar, Yingying Hu, Krishnan K Mahadevan, Kaira A Church, Sriram Chitta, Nicolas T Ryujin, Janine Hensel, Jianli Dai, Dara P Dowlatshahi, Hikaru Sugimoto, Michelle L Kirtley, Valerie S Lebleu, Shabnam Shalapour, Joe H Simmons, Raghu Kalluri

Faculty, Staff and Student Publications

mRNA incorporated in lipid nanoparticles (LNPs) became a new class of vaccine modality for induction of immunity against COVID-19 and ushered in a new era in vaccine development. Here, we report a novel, easy-to-execute, and cost effective engineered extracellular vesicles (EVs)-based combined mRNA and protein vaccine platform (EVX-M+P vaccine) and explore its utility in proof-of-concept immunity studies in the settings of cancer and infectious disease. As a first example, we engineered EVs, natural nanoparticle carriers shed by all cells, to contain ovalbumin mRNA and protein (EVOvaM+P vaccine) to serve as cancer vaccine against ovalbumin-expressing melanoma tumors. EVOvaM+P administration to mice …

Oculomics Analysis In Multiple Sclerosis: Current Ophthalmic Clinical And Imaging Biomarkers, Alex Suh, Gilad Hampel, Aditya Vinjamuri, Joshua Ong, Sharif Amit Kamran, Ethan Waisberg, Phani Paladugu, Nasif Zaman, Prithul Sarker, Alireza Tavakkoli, Andrew G Lee

Faculty, Staff and Student Publications

Multiple Sclerosis (MS) is a chronic autoimmune demyelinating disease of the central nervous system (CNS) characterized by inflammation, demyelination, and axonal damage. Early recognition and treatment are important for preventing or minimizing the long-term effects of the disease. Current gold standard modalities of diagnosis (e.g., CSF and MRI) are invasive and expensive in nature, warranting alternative methods of detection and screening. Oculomics, the interdisciplinary combination of ophthalmology, genetics, and bioinformatics to study the molecular basis of eye diseases, has seen rapid development through various technologies that detect structural, functional, and visual changes in the eye. Ophthalmic biomarkers (e.g., tear composition, …

Learning Opportunities 2024/2025, Illinois Mathematics And Science Academy

Course Catalogs

The graduation requirements of the Illinois Mathematics and Science Academy are established by the IMSA Board of Trustees. Each semester students must take a minimum of five academic courses (2.5 credits) for a letter grade (not Pass/Fail) not including Fine Arts, Wellness, SIR, Internship, and Independent Study. Students may enroll in a maximum of eight courses each semester including academic courses, Fine Arts, Wellness, SIR, Internship, and Independent Study. The College and Academic Counselor approves enrollment for students in all courses and experiences. Only courses taken for a letter grade will count toward graduation credit.

The Framework Is The Message: Legal And Ethical Implications Of Chatgpt, Amanda Turnbull

Canadian Journal of Law and Technology

The rapid rise of generative AI represents a palpable paradigm shift: models like GPT-3 (and its subsequent iterations), DALL-E, and AlphaCode are becoming foundation models for many other AI-based applications. Foundation models may be used for many different tasks with minimal modification and are positioned to replace task-specific models of AI. This holds tremendous promise in society such as advancing scientific research, rethinking education and training, and creating new types of art and expression. At the same time, however, generative AI has its dark side such as accuracy risk, the threat of large-scale unemployment, potential security vulnerabilities, and AI misbehaviour …

The Advocate (Fall 2024), Lewis & Clark Law School

The Advocate

No abstract provided.

Richmond Law Magazine: Autumn 2024

Richmond Law Magazine

Conviction is not the end

Law's newest laboratory

Take good care

Public History In The Middle School Classroom, Victoria L. Sanchez

Capstone Projects

This project was inspired by my own experience as a middle school classroom teacher and seeks to highlight the crossover between public history pedagogies and middle school social studies instruction. The project’s main focus lies on providing social studies educators with resources to learn about, teach, and integrate classroom projects that draw on public history pedagogies and methods. I created the public PHxMS website to achieve this goal. The intended impact of this site, upon being shared with educators, is to increase awareness about and interest in the field of public history, provide a resource for educators who might be …

Effect Of Zno Nps On Ovarian Histological Structure And Function In Adult Female Rats, Noori M. Luaibi, Faisal G. Lazim, Haidar J. Muhammed

Baghdad Science Journal

Nanotechnology is one of the most important techniques that is widely used in many fields by changing the physical and chemical properties of materials to form new scale substances called nanoparticles to make them more effective. ZnO NPs is one of these particles that is used in multiple applications, especially in cosmetic and sunscreen products. Thus, the uses of these particles in great quantities make them in constant contact with the body and can enter the circulating blood in a different ways. The aim of this study was to find out the effect of ZnO NPs on the histological structure …

Antioxidant Activity, Mineral Absorptivity And Chemical Analysis Of P. Graveolens, Kazheen H. Jawzal, Lina Y. Mohammed, Shinwar A. Idrees

Baghdad Science Journal

This article focuses on Pelargonium graveolens, a fragrant medicinal plant from the Geraniaceae family. The study examines the plant's phytochemical composition, antioxidant activity, and mineral absorptivity, with the plant being grown indoors. The study also examined the plant's ash content and antioxidant activity using a variety of techniques, and the results demonstrated that P. graveolens is effective at absorbing lead. The plant contains eight different minerals, including Cu, Mn, Co, Ni, Pb, Mg, Fe, and Ca. Statistical analysis was used to determine the level of antioxidants present, using DPPH, reducing power, and total antioxidant capacity methods. The extraction process used …

Sexual Dimorphism And Reproductive Biology Of Bronze Featherback (Notopterus Notopterus, Pallas 1769) From Kelekar River, Ogan Ilir, South Sumatra, Indonesia, Muslim Muslim, Mochamad Syaifudin, Ferdinand Hukama Taqwa, Muhammad Iqbal Saputra

Baghdad Science Journal

Sexual dimorphism and reproductive biology are fundamental aspects of fish breeding studies. The aim of this research was to analyze the sexual dimorphism and reproductive biology of Notopterus notopterus. A total of 74 N. notopterus were collected from the Kelekar River in Ogan Ilir Regency, Indonesia, consisting of 38 males (TL: 18–23.6 cm; BW: 35.1–92.1 g) and 36 females (TL: 19.6-26.3 cm; BW: 49.4–133.8 g). Seventeen morphometric characters, three meristic characters, and five reproductive biological parameters were analyzed. The results showed the differences in the morphometric characteristics of male and female N. notopterus. However, there was no difference in the …

The Origins Of The Major Questions Doctrine, Rachel Rothschild

Articles

In a series of recent cases, the Supreme Court has invoked the newly named “major questions doctrine” to strike down agency regulations that protect public health and the environment. Several Justices have argued that while the name “major questions” may be new, these decisions are simply the latest iteration in a longstanding effort of the courts to curtail the explosive growth of the administrative state since 1970. The first paradigmatic example of this line of cases is the 1980 “Benzene” case, in which the Supreme Court set aside the Occupational Safety and Health Administration (OSHA)’s new workplace standards for the …

Check Out The Library, 2024 Fall Issue, Cal Poly Humboldt Library

Library Publications

No abstract provided.

Harvesting Health: The Role Of City Policy In Urban Agriculture And The Downstream Effects On Youth, Lesley Leake

Theses and Dissertations

Contextualizing environmental health within the socio-ecological framework, acknowledges the diverse factors at play in the environment-human dynamic. The research design, methods, and study populations of each chapter vary to match the socio-ecological level(s) of focus and reinforce the translational and interdisciplinary nature of this research. Chapter 2 examines the policy-supports for urban agriculture using a mixed-methods case-study of the City of Charleston, SC to understand how municipal policy (societal) impacts urban agriculture implementation (community) and what impact this has on residents (relationship and individual). Chapter 3 centers on the potential impact of urban farms (community) and their programming (community and …

Information Exchange Through Social Networks Links To Adoption Of Child Feeding Practices In Nepal, Mohammad Masudur Rahman

Theses and Dissertations

While there have been notable decreases in child undernutrition (i.e., stunting) over the past few decades, it remains a major concern in Nepal, with 25% of children under the age of five experiencing chronic undernourishment. There is considerable scope for improving nutrition-related behaviors to address this ongoing issue. In Nepal, knowledge regarding appropriate child feeding practices is often inadequate, and thus additional sources of accurate information are required. Information through multiple sources (i.e., interpersonal communication, mass media, and mobile SMS) provides opportunity to reach households who inadequately practice childcare. Information improves knowledge and information exchange (i.e., receiving or sharing) usually …

Systemic Inflammation And Neurocognitive Deficits In School-Age Children With Sickle Cell Disease., Elizabeth A. Gillooly

Theses and Dissertations

Sickle cell disease (SCD) causes inflammation that contributes to poor clinical outcomes, including cerebrovascular disease (CVD). CVD can take several forms in SCD, including neurocognitive deficits without visible cerebral infarction. The role of chronic inflammation in cognitive development in SCD has received little attention to-date. We aimed to study novel markers of systemic inflammation: neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and the systemic inflammation index (SII) to describe developmental trends and relationships to cognitive outcomes in SCD at early elementary school-age. Sixty-one children with SCD and no history of stroke were identified who completed an early elementary school age cognitive …

Vascular Calcification In A Mouse Model Of Chronic Kidney Disease And In Human Peripheral Arterial Disease, Breanna Pederson

Theses and Dissertations

Vascular calcification is a process in which calcium and phosphate crystallize to form hydroxyapatite in the extracellular matrix of blood vessels. There are two forms of arterial calcification: intimal and medial, which occur via different etiologies. Intimal calcification is associated with atherosclerosis and occurs in the layer of endothelial cells adjacent to the artery lumen. Medial arterial calcification (MAC) is independent of atherosclerosis and occurs in the middle, muscular layer of the artery. MAC is strongly associated with aging, diabetes mellitus, and chronic kidney disease (CKD). MAC is frequently in patients with peripheral arterial disease (PAD). Most studies to date …

Impact Of A Mathematics Review On Students' Chemistry Self-Efficacy And Problem-Solving Skills In An Undergraduate Chemistry Course, Antoinette Marie Gayle

Theses and Dissertations

Mathematics is an integral part of chemistry courses, and the application of arithmetic and algebraic knowledge is important for solving calculation-based problems in undergraduate general chemistry. Students begin undergraduate chemistry with varying levels of mathematics skills and experience which may impact their ability to solve problems and understand the content in chemistry courses. Utilizing a convergent mixed methodology, this action research study evaluated the impact of an in-class mathematics review intervention on students’ chemistry self-efficacy and problem-solving abilities in general chemistry. Mathematics review sessions were conducted in undergraduate general chemistry classes with 40 first-year students at a small university college …

Teacher Perception Of International Baccalaureate Middle Years Programme Implementation, Lorene Michelle Lloyd-Peay

Theses and Dissertations

The rural, Title I, underperforming, priority schools in the study encounter several challenges when implementing the International Baccalaureate Middle Years Program (IBMYP) framework. Successful implementation is contingent on how the teachers perceive these challenges. This research aims to understand how teachers' perspective on the IBMYP affects programme implementation. Understanding the experiences and perspectives of teachers increased my and the school district’s ability to support the effective implementation of the IBMYP framework. The research questions focused on gathering data to determine teacher perspectives about the IBMYP, how those perspectives affect programme implementation, and the factors that appear to enhance or impede …