Digital Commons Network^™

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 …

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 …

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 …

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 …

Drugformer: Graph-Enhanced Language Model To Predict Drug Sensitivity, Xiaona Liu, Qing Wang, Minghao Zhou, Yanfei Wang, Xuefeng Wang, Xiaobo Zhou, Qianqian Song

Faculty, Staff and Student Publications

Drug resistance poses a crucial challenge in healthcare, with response rates to chemotherapy and targeted therapy remaining low. Individual patient's resistance is exacerbated by the intricate heterogeneity of tumor cells, presenting significant obstacles to effective treatment. To address this challenge, DrugFormer, a novel graph-augmented large language model designed to predict drug resistance at single-cell level is proposed. DrugFormer integrates both serialized gene tokens and gene-based knowledge graphs for the accurate predictions of drug response. After training on comprehensive single-cell data with drug response information, DrugFormer model presents outperformance, with higher F1, precision, and recall in predicting drug response. Based on …

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 …

Too Little Too Late: Why The Environmental Justice Problems Caused By The Army Corps's Nationwide Permits Program Run Much Deeper Than Permit 12, Travis O. Brandon

Law Faculty Scholarship

This Article argues that the United States Army Corps of Engineers’ review of Nationwide Permit 12 (NWP 12) is insufficient to remedy the deeper environmental justice defects embedded within the Nationwide Permit Program as a whole. NWP 12, which facilitates expedited authorization of oil and natural gas pipeline crossings under § 404 of the Clean Water Act, has enabled the construction of fossil fuel infrastructure with minimal site-specific environmental review and no meaningful opportunity for public comment. Drawing on theories of procedural environmental justice, the Article contends that the structure of the Nationwide Permit Program systematically disadvantages communities of color …

Let’S Make It A Game: Utilizing An Escape Room To Study Variables And Interventions That Impact The Development Of Psychological Safety, Kimberly N. Williams

Doctoral Dissertations and Master's Theses

To thrive in today’s competitive markets, organizations must harness the insights of all members. This requires employees to feel comfortable collaborating and sharing diverse knowledge—a process enabled by psychological safety. Although extensively studied over the past two decades, how and when psychological safety develops remains unclear. This research addresses these gaps by exploring temporal changes in psychological safety and examining the role of team inputs, processes, and interventions in shaping psychological safety perceptions at individual and team levels. This study utilized a quasi-experimental design with repeated and independent measures in a sample of 74 medical and physician assistant students. Within-subject …

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 Systems Biology Approach To Predict Phenotypes From Genotypes For Plants And Bacteria, Niaz Bahar Chowdhury

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Predicting phenotypes from genotypes is a central challenge in systems biology in understanding how organisms respond to environmental and genetic changes. To address this, genome-scale metabolic models (GSMs) integrated with omics data and machine learning provide a comprehensive framework to connect genotype to phenotype. This dissertation utilizes these approaches in plants and bacterial systems, revealing key metabolic adaptations. In maize, a root-specific GSM reveals metabolic reprogramming under nitrogen stress, offering strategies for improving stress tolerance. Building on this, a multi-organ maize GSM of temperature stress identifies metabolic bottlenecks, providing targets to enhance crop resilience. Similarly, in rice, a grain-specific GSM …

Strategy For Now, Jara Dean-Coffey, Jill Casey

The Foundation Review

We are in a profound period of understanding who we are as a people, past and present. This applies to practices held as core to how society operates. If we are to thrive as a species, the present and future necessitate reimagining the structures, systems, and conventions that limit some and thus us all. This includes not defaulting to control, competition, and certainty as we navigate circumstances we created.

Amid growing desires to integrate and embody practices aligned with equity, emergence, and complexity, concepts and points of view that dominate business continue to lead conversations about strategy formation in philanthropy …

A Systems And Innovation Approach To Attune Grantmaking For Early Childhood To What Matters Most At The Point Of Service, Wally Patawaran

The Foundation Review

This article discusses how and why The JPB Foundation, a nationally focused private philanthropy in the United States, promoted multistakeholder innovations as it evolved its strategy for early childhood health equity. Through coordinated grantmaking, its cross-sector partnerships over the past decade shifted the science, clinical practice, and public discourse on early life stress.

Building on field learning and trusted relationships, JPB and its partners paved the way for a reimagined paradigm of care that brings ecosystem stakeholders together to overcome competing frictions inhibiting their mutual flourishing. Working collaboratively with grantees as their champion and thought partner, JPB formulated an agenda …

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.

Acculturation And Attitudinal Disposition Of People From India Living In The United States Toward Mental Health Services, Santhosh Jose Adhikarathil

Dissertations

Acculturation experience and attitudes toward seeking mental health services among Asian Indian Americans, an ethnic minority group, are predominantly underrepresented in current literature despite their increasing number in the United States. The purpose of this study was to assess the acculturation experience of Asian Indian Americans and their attitude toward seeking mental health services, and to explore the relationship between acculturation levels and attitudes toward seeking mental health services. I used a quantitative research design to conduct this study. I employed an online survey through Qualtrics. The participants (n = 568) constituted a probability sample recruited from Indian-based Christian churches …

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 …

Synthesis, Characterization, Industrial And Biological Studies Of Azo Dye Ligand And Their Some Metallic Ions, Abaas Obaid Hussein, Rana Abdulilah Abbas, Jinan M. M. Al-Zinkee, Amerj. Jarad

Baghdad Science Journal

4-((2-hydroxy-3,5-dinitrophenyl)diazenyl)-1,5-dimethyl-2-phenyl-1H-pyrazol-3(2H)-one was produced through the reaction of diazonium salt from 4-amino antipyrine with 2,4-dinitrophenol. This ligand is examined by (UV-Vis, FTIR,1H,13CNMR, and LC-Mass) spectral techniques and micro elemental analysis (C.H.N.O). Co(II), Ni(II), Cu(II), and Zn(II) complexes were also performed and depicted. Metal chelates were distinguished by utilizing flame atomic absorption, infrared analysis, and elemental, visible, as well as ultraviolet spectroscopy, in addition to conductivity and magnetic quantification. Methods of mole ratio and continuous contrast have been studied to determine the nature of the compounds. Beer's law was followed throughout a condensation reach of about 1×10-4 - 3×10-4 M/L. A higher …

Synthesis And Characterization Of Some New Pyrazole, Triazole, Oxadiazole, Thiazole, Thiadiazole Derivatives Bearing P-Toluenesulfonamide, Maha A. Al-Hamad, Ammar H. Al-Sabawi

Baghdad Science Journal

A series of new heterocyclic derivatives A5-A15 have been synthesized using 4-(toluene-4-sulfinylamino)-benzoic acid ethyl ester A2 as a predecessor. This compound A2 was successfully used in synthesis of some new derivatives of oxadiazole, pyrazole, triazole, thiadiazole, thiazole and fused heterocyclic containing p-toluene sulfonamide moiety that supposed to have important biological activities. 1H-NMR, 13C-NMR and FT-IR spectroscopy were used to confirm the prepared compounds.

Amoxicillin And Favipiravir Bio-Degradation By Aspergillus Flavus Fungus, Rana Hadi Hameed Al-Shammari, Shaimaa Satae M. Ali, Ayad M.J. Al-Mamoori

Baghdad Science Journal

The aim of this study is to isolate and characterize Amoxicillin and Favipiravir biodegrading fungi as well as determine their characteristics and degradation pathways. The antibiotic-degrading fungus A. flavus was isolated from polluted wastewater samples using standard Potato Dextrose agar and Czapek–Dox medium. The biodegradation method was investigated in previous mediums with (Amoxicillin and Favipiravir), as the sole carbon sources. Main degradation intermediates were analyzed by high-performance liquid chromatography (HPLC) and used to deduce the antibiotic degradation pathway of strain A. flavus fungal hyphae by Scanning Electron Microscopy before and after 7 days of treatment to find out the accumulation …

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 …

The Effectiveness Of Calcium Supplement As Orally Contrast Media For Gastric Magnetic Resonance Imaging, Zainab Abdulla Mankhi, Khalid Ibrahim Riah, Ahmed Mehmood Abdul-Lettif

Baghdad Science Journal

The objective of the present work aims to find an alternative oral contrast agent that could be used in magnetic resonance imaging (MRI) of the gastrointestinal system and satisfy the following criteria: it should be safe, it has no or few side effects, it is inexpensive, and it produces the highest imaging quality. The method: We prepared samples (solutions) as oral contrast agents by separately dissolving calcium and magnesium supplements (taken daily dose) in varied quantities of distilled water. In order to identify the sample with the lowest concentration and best quantitative image, the samples were examined in MRI by …

Biogenic Functionalized Zno/Cuo Nanocomposite Sensor For Potentiometric Determination Of Pseudoephedrine-Hcl In Pure And Commercial Products, Fadam M. Abdoon, Sarhan A. Salman, Hasan M. Hasan, Suham T. Ameen, Maha F. El-Tohamy

Baghdad Science Journal

The ultrafunctional potential of zinc oxide (ZnO) and copper oxide (CuO) nanoparticles (NPs) has generated a great interest in using such metal oxides as remarkable and electroactive nanocomposites in the studies on potentiometry and sensors. These nano-oxides were prepared from the extract of Leucaena leucocephala seeds as an environmentally friendly process. The development of a ZnO/CuO “core-shell nanocomposite-modified” coated copper wire film sensor was proposed as a new method for potentiometric determination of pseudoephedrine hydrochloride (PSD) in pure and pharmaceutical dosage forms. With the existence of polyvinyl chloride (PVC) as a polymer with high molecular weight and “o-nitrophenyl octyl ether …

A Stage Structure Prey Predator Model Using Pentagonal Fuzzy Numbers And Functional Response, Vinothini P., Kavitha K.

Baghdad Science Journal

In the present study, our work is focused on a prey predator model with a stage structure for the prey. The objective of the study is to find the behavior of the model using parameter values in the presence of Pentagonal fuzzy numbers. The interaction between the species is done by using functional responses, such as the Holling type I reaction for immature prey and the Crowley Martin functional response for mature prey. Prey population categorized as immature and mature prey. The idea of the problem is to construct a fuzzy theoretical method which helps us to create a model …

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.

Data-Driven Discovery Of Extreme Thermal Materials By High-Throughput Computation And Machine Learning, Joshua Ojih

Theses and Dissertations

The quest for materials with extraordinary properties has been a longstanding endeavor in material science and engineering, driving future technological advancement. However, the discovery of such materials is non-trivial. Recent advancements in computational methods, particularly the integration of machine learning (ML) techniques with density functional theory (DFT), have opened new avenues for accelerating the discovery of materials with exceptional and extreme properties. This dissertation focuses on developing a synergistic approach and workflow combining ML and DFT to identify materials with properties that are pushed beyond current limits, using lattice thermal conductivity (LTC) as a case study of the workflow.

We …

Intention Or Perception? Signaling Theory In The Online World, Mohona Mandal

Theses and Dissertations

Backlash on social media in response to online behaviors is swift and often decisive with significant consequences. One possible reason for this is that online actions are perceived as reflective of a person’s true self. Signaling theory provides support for this argument and suggests that people intentionally display information about themselves to communicate their beliefs to others. While existing work suggests that social media posts are intentional, social media interactions such as likes, comments, and reposts might also function similarly (i.e., as a signal of beliefs). Two studies were conducted to explore whether interacting with online content is perceived as …