Digital Commons Network^™

Climate Zoning, Christopher Serkin

Vanderbilt Law School Faculty Publications

As the urgency of the climate crisis becomes increasingly apparent, many local governments are adopting land use regulations aimed at minimizing greenhouse gas (GHG) emissions. The emerging approaches call for loosening zoning restrictions to unlock greater density and for strict new green building codes. This Article argues that both approaches are appropriate in some places but not in others. Not all density is created equal, and compact multifamily housing at the urban fringe may actually in- crease GHG emissions. Moreover, where density is appropriate, deregulation will not necessarily produce it. And, finally, green building codes will increase housing costs and …

Comparison Of Medical Specialty Selection Among Physicians Graduating From Postgraduate Or Undergraduate Programs In A Medical School In Southern Taiwan, Yueh-Ren Ho, Bao-Yu Chen, Chien-Ming Li, Pei-Xian Ti

Journal of Medical Education

Background: The National Cheng Kung University (NCKU) of School of Medicine in southern Taiwan, which was founded in 1984 with only a postgraduate (PG) program until 1995. In 1992, NCKU began undergraduate (UG) program. It has recently entered into an agreement with Taiwan's Ministry of Education and Ministry of Health and Welfare to help cultivate physicians who meet various market needs, including practice regions, goals, or specialties. Research problem & purpose: We aim to compare the differences between PG and UG trained alumni in terms of specialty selection and practice location. Methods: A total of 1,089 alumni were recruited, including …

Culture, Politics, And Economics: Alcohol And The Dynamic Social Environment Of Celtic Europe, Trevor Davidson

Undergraduate Student Work

Celtic culture in Iron Age Europe set the stage for many modern European nations and their cultural geographies. This paper seeks to question the connection between historical accounts of Celtic culture and the production and consumption of alcohol. In particular, the interactions between alcohol and the cultural, economic, and political of Celtic Age European populations is explored through modern archaeological sciences and geographic interpretation. From this research, a clear connection between regional environments and trends of alcohol production, trade, and flavor preference is demonstrated from thematic artifacts and bioarchaeological remains. Interactions between the southern Celtic tribes and Mediterranean cultures is …

Autologous Cell Immunotherapy (Igv-001) With Igf-1r Antisense Oligonucleotide In Newly Diagnosed Glioblastoma Patients, Ian Y. Lee, Simon Hanft, Michael Schulder, Kevin D. Judy, Eric T. Wong, J. Bradley Elder, Linton T. Evans, Mario Zuccarello, Julian Wu, Sonikpreet Aulakh, Vijay Agarwal, Rohan Ramakrishna, Brian J. Gill, Alfredo Quiñones-Hinojosa, Cameron Brennan, Brad E. Zacharia, Carlos Eduardo Silva Correia, Madhavi Diwanji, Gregory K. Pennock, Charles Scott, Raul Perez-Olle, David W. Andrews, John A. Boockvar

Department of Neurosurgery Faculty Papers

Standard-of-care first-line therapy for patients with newly diagnosed glioblastoma (ndGBM) is maximal safe surgical resection, then concurrent radiotherapy and temozolomide, followed by maintenance temozolomide. IGV-001, the first product of the Goldspire™ platform, is a first-in-class autologous immunotherapeutic product that combines personalized whole tumor-derived cells with an antisense oligonucleotide (IMV-001) in implantable biodiffusion chambers, with the intent to induce a tumor-specific immune response in patients with ndGBM. Here, we describe the design and rationale of a randomized, double-blind, phase IIb trial evaluating IGV-001 compared with placebo, both followed by standard-of-care treatment in patients with ndGBM. The primary end point is progression-free …

The Effect Of Water Pollution Regulation On Prices: Evidence From Wisconsin’S Phosphorus Rule And Sewer Utility Bills, Andrew G. Meyer, Zach Raff

Economics Faculty Research and Publications

In this paper, we estimate the consumer impacts of Wisconsin's “phosphorus rule”, which created the most stringent statewide water quality and effluent standards for phosphorus in the country. We examine how compliance with the rule affects real billing rates at sewer utilities in Wisconsin, providing the first empirical estimates of water pollution regulation on utility billing rates. We find that compliance with the phosphorous rule increases the average real sewer utility bill in our sample by 7–12%. Our results imply that sewer utilities pass through approximately $65.8 million to residential sewer rate payers annually, which is roughly ⅔ of the …

Arsenic Exposure Is Associated With Alterations To Multiple Red Blood Cell Parameters Among Adults In Rural Bangladesh, Sebastian Medina, Qian-Yun Zhang, Fredine T. Lauer, Laura V. Santos-Medina, Pam Factor-Litvak, Tariqul Islam, Mahbubul Eunus, Mizanour Rahman, Mohammad Nasir Uddin, Ke Jian Liu, Faruque Parvez

Pathology Research and Scholarship

Chronic arsenic exposures are associated with multiple hematologic disturbances, including anemia. The goal of this study was to evaluate associations between arsenic exposures and hematological parameters among men and women who are chronically exposed to elevated levels of arsenic from drinking water. Hematologic analyses were performed on blood collected from 755 participants (45% male and 54% female) in the Health Effects of Arsenic Longitudinal Study (HEALS) cohort, Bangladesh. Herein, we used linear regression models to estimate associations between red blood cell (RBC) parameters (i.e., RBC counts, hematocrit (HCT), hemoglobin (Hgb), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), and mean …

Dhea: A Neglected Biological Signal That May Affect Fetal And Child Development, Natasha A. Bailey, Elysia Poggi Davis, Curt A. Sandman, Laura M. Glynn

Psychology Faculty Articles and Research

The stress-sensitive maternal hypothalamic–pituitary–adrenal (HPA) axis through the end-product cortisol, represents a primary pathway through which maternal experience shapes fetal development with long-term consequences for child neurodevelopment. However, there is another HPA axis end-product that has been widely ignored in the study of human pregnancy. The synthesis and release of dehydroepiandosterone (DHEA) is similar to cortisol, so it is a plausible, but neglected, biological signal that may influence fetal neurodevelopment. DHEA also may interact with cortisol to determine developmental outcomes. Surprisingly, there is virtually nothing known about human fetal exposure to prenatal maternal DHEA and offspring neurodevelopment. The current study …

Relation Of Prenatal And Postnatal Pm25 Exposure With Cognitive And Motor Function Among Preschool-Aged Children, Kristina W Whitworth, Alison M Rector-Houze, Wei-Jen Chen, Jesus Ibarluzea, Michael Swartz, Elaine Symanski, Carmen Iniguez, Aitana Lertxundi, Antonia Valentin, Llucia González-Safont, Martine Vrijheid, Monica Guxens

Faculty, Staff and Student Publications

The literature informing susceptible periods of exposure on children’s neurodevelopment is limited. We evaluated the impacts of pre- and postnatal fine particulate matter (PM2.5) exposure on children’s cognitive and motor function among 1303 mother-child pairs in the Spanish INMA (Environment and Childhood) Study. Random forest models with temporal back extrapolation were used to estimate daily residential PM2.5 exposures that we averaged across 1-week lags during the prenatal period and 4-week lags during the postnatal period. The McCarthy Scales of Children’s Abilities (MSCA) were administered around 5 years to assess general cognitive index (GCI) and several subscales (verbal, perceptual-performance, memory, fine …

Measurement Bias In Caregiver-Report Of Early Childhood Behavior Problems Across Demographic Factors In An Echo-Wide Diverse Sample, Shuting Zheng, Maxwell Mansolf, Monica Mcgrath, Marie L Churchill, Traci A Bekelman, Patricia A Brennan, Amy E Margolis, Sara S Nozadi, Theresa M Bastain, Amy J Elliott, Kaja Z Lewinn, Julie A Hofheimer, Leslie D Leve, Brandon Rennie, Emily Zimmerman, Carmen A Marable, Cindy T Mcevoy, Chang Liu, Alexis Sullivan, Tracey J Woodruff, Samiran Ghosh, Bennett Leventhal, Assiamira Ferrara, Johnnye Lewis, Somer Bishop

Faculty, Staff and Student Publications

BACKGROUND: Research and clinical practice rely heavily on caregiver-report measures, such as the Child Behavior Checklist 1.5-5 (CBCL/1.5-5), to gather information about early childhood behavior problems and to screen for child psychopathology. While studies have shown that demographic variables influence caregiver ratings of behavior problems, the extent to which the CBCL/1.5-5 functions equivalently at the item level across diverse samples is unknown.

METHODS: Item-level data of CBCL/1.5-5 from a large sample of young children (

RESULTS: Items with the most impactful DIF across child and caregiver groupings were identified for Internalizing, Externalizing, and total Problems. The robust item sets, excluding …

Genetic Drivers Of Heterogeneity In Type 2 Diabetes Pathophysiology, Ken Suzuki, Konstantinos Hatzikotoulas, Lorraine Southam, Henry J Taylor, Xianyong Yin, Kim M Lorenz, Ravi Mandla, Alicia Huerta-Chagoya, Giorgio E M Melloni, Stavroula Kanoni, Nigel W Rayner, Ozvan Bocher, Ana Luiza Arruda, Kyuto Sonehara, Shinichi Namba, Simon S K Lee, Michael H Preuss, Lauren E Petty, Philip Schroeder, Brett Vanderwerff, Mart Kals, Fiona Bragg, Kuang Lin, Xiuqing Guo, Weihua Zhang, Jie Yao, Young Jin Kim, Mariaelisa Graff, Fumihiko Takeuchi, Jana Nano, Amel Lamri, Masahiro Nakatochi, Sanghoon Moon, Robert A Scott, James P Cook, Jung-Jin Lee, Ian Pan, Daniel Taliun, Esteban J Parra, Jin-Fang Chai, Lawrence F Bielak, Yasuharu Tabara, Yang Hai, Gudmar Thorleifsson, Niels Grarup, Tamar Sofer, Matthias Wuttke, Chloé Sarnowski, Christian Gieger, Darryl Nousome, Stella Trompet, Soo-Heon Kwak, Jirong Long, Meng Sun, Lin Tong, Wei-Min Chen, Suraj S Nongmaithem, Raymond Noordam, Victor J Y Lim, Claudia H T Tam, Yoonjung Yoonie Joo, Chien-Hsiun Chen, Laura M Raffield, Bram Peter Prins, Aude Nicolas, Lisa R Yanek, Guanjie Chen, Jennifer A Brody, Edmond Kabagambe, Ping An, Anny H Xiang, Hyeok Sun Choi, Brian E Cade, Jingyi Tan, K Alaine Broadaway, Alice Williamson, Zoha Kamali, Jinrui Cui, Manonanthini Thangam, Linda S Adair, Adebowale Adeyemo, Carlos A Aguilar-Salinas, Tarunveer S Ahluwalia, Sonia S Anand, Alain Bertoni, Jette Bork-Jensen, Ivan Brandslund, Thomas A Buchanan, Charles F Burant, Adam S Butterworth, Mickaël Canouil, Juliana C N Chan, Li-Ching Chang, Miao-Li Chee, Ji Chen, Shyh-Huei Chen, Yuan-Tsong Chen, Zhengming Chen, Lee-Ming Chuang, Mary Cushman, John Danesh, Swapan K Das, H Janaka De Silva, George Dedoussis, Latchezar Dimitrov, Ayo P Doumatey, Shufa Du, Qing Duan, Kai-Uwe Eckardt, Leslie S Emery, Daniel S Evans, Michele K Evans, Krista Fischer, James S Floyd, Ian Ford, Oscar H Franco, Timothy M Frayling, Barry I Freedman, Pauline Genter, Hertzel C Gerstein, Vilmantas Giedraitis, Clicerio González-Villalpando, Maria Elena González-Villalpando, Penny Gordon-Larsen, Myron Gross, Lindsay A Guare, Sophie Hackinger, Liisa Hakaste, Sohee Han, Andrew T Hattersley, Christian Herder, Momoko Horikoshi, Annie-Green Howard, Willa Hsueh, Mengna Huang, Wei Huang, Yi-Jen Hung, Mi Yeong Hwang, Chii-Min Hwu, Sahoko Ichihara, Mohammad Arfan Ikram, Martin Ingelsson, Md Tariqul Islam, Masato Isono, Hye-Mi Jang, Farzana Jasmine, Guozhi Jiang, Jost B Jonas, Torben Jørgensen, Frederick K Kamanu, Fouad R Kandeel, Anuradhani Kasturiratne, Tomohiro Katsuya, Varinderpal Kaur, Takahisa Kawaguchi, Jacob M Keaton, Abel N Kho, Chiea-Chuen Khor, Muhammad G Kibriya, Duk-Hwan Kim, Florian Kronenberg, Johanna Kuusisto, Kristi Läll, Leslie A Lange, Kyung Min Lee, Myung-Shik Lee, Nanette R Lee, Aaron Leong, Liming Li, Yun Li, Ruifang Li-Gao, Symen Ligthart, Cecilia M Lindgren, Allan Linneberg, Ching-Ti Liu, Jianjun Liu, Adam E Locke, Tin Louie, Jian'an Luan, Andrea O Luk, Xi Luo, Jun Lv, Julie A Lynch, Valeriya Lyssenko, Shiro Maeda, Vasiliki Mamakou, Sohail Rafik Mansuri, Koichi Matsuda, Thomas Meitinger, Olle Melander, Andres Metspalu, Huan Mo, Andrew D Morris, Filipe A Moura, Jerry L Nadler, Michael A Nalls, Uma Nayak, Ioanna Ntalla, Yukinori Okada, Lorena Orozco, Sanjay R Patel, Snehal Patil, Pei Pei, Mark A Pereira, Annette Peters, Fraser J Pirie, Hannah G Polikowsky, Bianca Porneala, Gauri Prasad, Laura J Rasmussen-Torvik, Alexander P Reiner, Michael Roden, Rebecca Rohde, Katheryn Roll, Charumathi Sabanayagam, Kevin Sandow, Alagu Sankareswaran, Naveed Sattar, Sebastian Schönherr, Mohammad Shahriar, Botong Shen, Jinxiu Shi, Dong Mun Shin, Nobuhiro Shojima, Jennifer A Smith, Wing Yee So, Alena Stančáková, Valgerdur Steinthorsdottir, Adrienne M Stilp, Konstantin Strauch, Kent D Taylor, Barbara Thorand, Unnur Thorsteinsdottir, Brian Tomlinson, Tam C Tran, Fuu-Jen Tsai, Jaakko Tuomilehto, Teresa Tusie-Luna, Miriam S Udler, Adan Valladares-Salgado, Rob M Van Dam, Jan B Van Klinken, Rohit Varma, Niels Wacher-Rodarte, Eleanor Wheeler, Ananda R Wickremasinghe, Ko Willems Van Dijk, Daniel R Witte, Chittaranjan S Yajnik, Ken Yamamoto, Kenichi Yamamoto, Kyungheon Yoon, Canqing Yu, Jian-Min Yuan, Salim Yusuf, Matthew Zawistowski, Liang Zhang, Wei Zheng, Leslie J Raffel, Michiya Igase, Eli Ipp, Susan Redline, Yoon Shin Cho, Lars Lind, Michael A Province, Myriam Fornage, Craig L Hanis, Erik Ingelsson, Alan B Zonderman, Bruce M Psaty, Ya-Xing Wang, Charles N Rotimi, Diane M Becker, Fumihiko Matsuda, Yongmei Liu, Mitsuhiro Yokota, Sharon L R Kardia, Patricia A Peyser, James S Pankow, James C Engert, Amélie Bonnefond, Philippe Froguel, James G Wilson, Wayne H H Sheu, Jer-Yuarn Wu, M Geoffrey Hayes, Ronald C W Ma, Tien-Yin Wong, Dennis O Mook-Kanamori, Tiinamaija Tuomi, Giriraj R Chandak, Francis S Collins, Dwaipayan Bharadwaj, Guillaume Paré, Michèle M Sale, Habibul Ahsan, Ayesha A Motala, Xiao-Ou Shu, Kyong-Soo Park, J Wouter Jukema, Miguel Cruz, Yii-Der Ida Chen, Stephen S Rich, Roberta Mckean-Cowdin, Harald Grallert, Ching-Yu Cheng, Mohsen Ghanbari, E-Shyong Tai, Josee Dupuis, Norihiro Kato, Markku Laakso, Anna Köttgen, Woon-Puay Koh, Donald W Bowden, Colin N A Palmer, Jaspal S Kooner, Charles Kooperberg, Simin Liu, Kari E North, Danish Saleheen, Torben Hansen, Oluf Pedersen, Nicholas J Wareham, Juyoung Lee, Bong-Jo Kim, Iona Y Millwood, Robin G Walters, Kari Stefansson, Emma Ahlqvist, Mark O Goodarzi, Karen L Mohlke, Claudia Langenberg, Christopher A Haiman, Ruth J F Loos, Jose C Florez, Daniel J Rader, Marylyn D Ritchie, Sebastian Zöllner, Reedik Mägi, Nicholas A Marston, Christian T Ruff, David A Van Heel, Sarah Finer, Joshua C Denny, Toshimasa Yamauchi, Takashi Kadowaki, John C Chambers, Maggie C Y Ng, Xueling Sim, Jennifer E Below, Philip S Tsao, Kyong-Mi Chang, Mark I Mccarthy, James B Meigs, Anubha Mahajan, Cassandra N Spracklen, Josep M Mercader, Michael Boehnke, Jerome I Rotter, Marijana Vujkovic, Benjamin F Voight, Andrew P Morris, Eleftheria Zeggini

Faculty, Staff and Student Publications

Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes1,2 and molecular mechanisms that are often specific to cell type3,4. Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study data from 2,535,601 individuals (39.7% not of European ancestry), including 428,452 cases of T2D. We identify 1,289 independent association signals at genome-wide significance (P < 5 × 10-8) that map to 611 loci, of which 145 loci are, to our knowledge, previously unreported. We define eight non-overlapping clusters of T2D signals that are characterized by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type-specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial cells and enteroendocrine cells. We build cluster-specific partitioned polygenic scores5 in a further 279,552 individuals of diverse ancestry, including 30,288 cases of T2D, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned polygenic scores are associated with coronary artery disease, peripheral artery disease and end-stage diabetic nephropathy across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings show the value of integrating multi-ancestry genome-wide association study data with single-cell epigenomics to disentangle the aetiological heterogeneity that drives the development and progression of T2D. This might offer a route to optimize global access to genetically informed diabetes care.

Association Between Medication Adherence And Asthma Among Latinos In The United States, Denisse Silva

Walden Dissertations and Doctoral Studies

Prior research has shown that Latinos in the United States face disproportionate challenges in managing their asthma symptoms. Therefore, this study aimed to identify factors that may influence medication adherence and asthma episodes among Latinos in the United States and was guided by Andersen’s health behavior theory. Data from 2020 Latinos who participated in the National Health Interview System in 2020 were analyzed. Findings indicated that nearly 23% of respondents reported an asthma episode. Approximately 25% of the sample reported an asthma episode during the last 12 months. A total of 43.6% of the sample reported not taking medication every …

Source Level Of Wind-Generated Ambient Sound In The Oceana, N. Ross Chapman, Michael Ainslie, Martin Siderius

Electrical and Computer Engineering Faculty Publications and Presentations

Inference of source levels for ambient ocean sound from local wind at the sea surface requires an assumption about the nature of the sound source. Depending upon the assumptions made about the nature of the sound source, whether monopole or dipole distributions, the estimated source levels from different research groups are different by several decibels over the frequency band 10–350 Hz. This paper revisits the research issues of source level of local wind-generated sound and shows that the differences in estimated source levels can be understood through a simple analysis of the source assumptions.

Energy-Efficient Neuromorphic Architectures For Nuclear Radiation Detection Applications, Jorge I. Canales-Verdial, Jamison R. Wagner, Landon A. Schmucker, Mark Wetzel, Nathan J. Withers, Philippe Erol Proctor, Christof Teuscher, Multiple Additional Authors

Electrical and Computer Engineering Faculty Publications and Presentations

A comprehensive analysis and simulation of two memristor-based neuromorphic architectures for nuclear radiation detection is presented. Both scalable architectures retrofit a locally competitive algorithm to solve overcomplete sparse approximation problems by harnessing memristor crossbar execution of vector–matrix multiplications. The proposed systems demonstrate excellent accuracy and throughput while consuming minimal energy for radionuclide detection. To ensure that the simulation results of our proposed hardware are realistic, the memristor parameters are chosen from our own fabricated memristor devices. Based on these results, we conclude that memristor-based computing is the preeminent technology for a radiation detection platform.

Policy Brief: Decreasing Unintended Pregnancy Rates In Mississippi, Jaycee S. Pilcher

Honors Theses

On June 24th, 2022, the U.S. Supreme Court’s decision to reverse Roe v. Wade marked a pivotal moment, eliminating the federal right to pregnancy termination. This thesis examines the challenges of restricted abortion access and emphasizes preventative strategies for unintended pregnancies. Analyzing both pre- and post-pregnancy interventions, such as enhanced sex education, hormonal contraceptives, insurance coverage, prescribers, and post-pregnancy policies, this thesis urges Mississippi residents and legislators to consider policy adjustments for reducing the occurrence of unintended pregnancies.

This research includes an analysis of literature, legislative records, and statistical data. It takes a comparative approach to evaluate the effectiveness of …

Wavelength-Induced Shedding Frequency Modulation Of Seal Whisker Inspired Cylinders, Trevor Dunt, Kirby S. Heck, Kathleen Lyons, Christin Murphy, Raul Bayoan Cal, Jennifer A. Franck

Mechanical and Materials Engineering Faculty Publications and Presentations

The spanwise undulated cylinder geometry inspired by seal whiskers has been shown to alter shedding frequency and reduce fluid forces significantly compared to smooth cylindrical geometry. Undulation wavelength is systematically investigated in order to explore its effect on unsteady lift force and shedding frequency. Prior research has parameterized the whisker-inspired geometry and demonstrated the relevance of geometric variations on force reduction properties. Among the geometric parameters, undulation wavelength was identified as a significant contributor to forcing changes. To analyze the effect of undulation wavelength, a thorough investigation isolating changes in wavelength is performed to expand upon previous research that parameterized …

The Fatigue-Inducing Effects Of Cancer And Its Therapy Are Characterized By Decreased Physical Activity In The Absence Of Any Motivational Deficit, Thien T Phan, Kiersten S Scott, Brandon Chelette, A Phillip West, Robert Dantzer

Faculty, Staff and Student Publications

Although cancer and its therapy are well known to be associated with fatigue, the exact nature of cancer-related fatigue remains ill-defined. We previously reported that fatigue-like behavior induced independently by tumor growth and by the chemotherapeutic agent cisplatin is characterized by reduced voluntary wheel running and an intact motivation to expand effort for food rewards. The present set of experiments was initiated to characterize the functional consequences of fatigue induced by chemoradiotherapy in tumor-bearing mice and relate them to changes in the expression of genes coding for inflammation, mitochondria dynamics and metabolism. Two syngeneic murine models of cancer were selected …

Genome-Wide Gene-Environment Interaction Analyses To Understand The Relationship Between Red Meat And Processed Meat Intake And Colorectal Cancer Risk, Mariana C Stern, Joel Sanchez Mendez, Andre E Kim, Mireia Obón-Santacana, Ferran Moratalla-Navarro, Vicente Martín, Victor Moreno, Yi Lin, Stephanie A Bien, Conghui Qu, Yu-Ru Su, Emily White, Tabitha A Harrison, Jeroen R Huyghe, Catherine M Tangen, Polly A Newcomb, Amanda I Phipps, Claire E Thomas, Eric S Kawaguchi, Juan Pablo Lewinger, John L Morrison, David V Conti, Jun Wang, Duncan C Thomas, Elizabeth A Platz, Kala Visvanathan, Temitope O Keku, Christina C Newton, Caroline Y Um, Anshul Kundaje, Anna Shcherbina, Neil Murphy, Marc J Gunter, Niki Dimou, Nikos Papadimitriou, Stéphane Bézieau, Franzel J B Van Duijnhoven, Satu Männistö, Gad Rennert, Alicja Wolk, Michael Hoffmeister, Hermann Brenner, Jenny Chang-Claude, Yu Tian, Loïc Le Marchand, Michelle Cotterchio, Konstantinos K Tsilidis, D Timothy Bishop, Yohannes Adama Melaku, Brigid M Lynch, Daniel D Buchanan, Cornelia M Ulrich, Jennifer Ose, Anita R Peoples, Andrew J Pellatt, Li Li, Matthew A M Devall, Peter T Campbell, Demetrius Albanes, Stephanie J Weinstein, Sonja I Berndt, Stephen B Gruber, Edward Ruiz-Narvaez, Mingyang Song, Amit D Joshi, David A Drew, Jessica L Petrick, Andrew T Chan, Marios Giannakis, Ulrike Peters, Li Hsu, W James Gauderman

Faculty, Staff and Student Publications

Background: High red meat and/or processed meat consumption are established colorectal cancer risk factors. We conducted a genome-wide gene-environment (GxE) interaction analysis to identify genetic variants that may modify these associations.

Methods: A pooled sample of 29,842 colorectal cancer cases and 39,635 controls of European ancestry from 27 studies were included. Quantiles for red meat and processed meat intake were constructed from harmonized questionnaire data. Genotyping arrays were imputed to the Haplotype Reference Consortium. Two-step EDGE and joint tests of GxE interaction were utilized in our genome-wide scan.

Results: Meta-analyses confirmed positive associations between increased consumption of red meat and …

Systematic Evaluation Of Mri-Based Characterization Of Tumor-Associated Vascular Morphology And Hemodynamics Via A Dynamic Digital Phantom, Chengyue Wu, David A Hormuth, Ty Easley, Federico Pineda, Gregory S Karczmar, Thomas E Yankeelov

Faculty, Staff and Student Publications

Purpose: Validation of quantitative imaging biomarkers is a challenging task, due to the difficulty in measuring the ground truth of the target biological process. A digital phantom-based framework is established to systematically validate the quantitative characterization of tumor-associated vascular morphology and hemodynamics based on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI).

Approach: A digital phantom is employed to provide a ground-truth vascular system within which 45 synthetic tumors are simulated. Morphological analysis is performed on high-spatial resolution DCE-MRI data (spatial/temporal resolution = 30 to 300μm/60s" role="presentation" style="box-sizing: inherit; display: inline-block; line-height: 0; font-size: 18.08px; font-size-adjust: none; overflow-wrap: normal; word-spacing: normal; text-wrap-mode: …

Mechanosensing And Anesthesia Of Single Internodal Cells Of Chara, Manya J. Rodgers, Mark P. Staves

Open Access Publishing Support Funded Articles

The giant (2–3 × 10⁻² m long) internodal cells of the aquatic plant, Chara, exhibit a rapid (>100 × 10⁻⁶ m s⁻¹) cyclic cytoplasmic streaming which stops in response to mechanical stimuli. Since the streaming – and the stopping of streaming upon stimulation – is easily visible with a stereomicroscope, these single cells are ideal tools to investigate mechanosensing in plant cells, as well as the potential for these cells to be anesthetized. We found that dropping a steel ball (0.88 × 10⁻³ kg, 6 × 10⁻³ m in diameter) through a …

Coralai: Emergent Ecosystems Of Neural Cellular Automata, Aidan A. Barbieux, Aidan A. Barbieux

Master's Theses

Artificial intelligence has traditionally been approached through centralized architectures and optimization of specific metrics on large datasets. However, the frontiers of fields spanning cognitive science, biology, physics, and computer science suggest that intelligence is better understood as a multi-scale, decentralized, emergent phenomenon. As such, scaling up approaches that mirror the natural world may be one of the next big advances in AI. This thesis presents Coralai, a framework for efficiently simulating the emergence of diverse artificial life ecosystems integrated with modular physics. The key innovations of Coralai include: 1) Hosting diverse Neural Cellular Automata organisms in the same simulation that …

Restating The Law In A Child Wellbeing Framework, Elizabeth S. Scott

Faculty Scholarship

The Restatement of Children and the Law is scheduled for formal adoption by the American Law Institute in 2024. When this project was first proposed, it was met with some skepticism, on the view that the regulation of children was not a coherent field of law. But after eight years of work on this Restatement, the Reporters have produced a comprehensive account of the law’s treatment of children and clarified that it is, indeed, an integrated and coherent area of law. Our work has uncovered a deep structure and logic that shapes the legal regulation of children in the family, …

Multilayer Pva/Gelatin Nanofibrous Scaffolds Incorporated With Tanacetum Polycephalum Essential Oil And Amoxicillin For Skin Tissue Engineering Application, Ebrahim Soleiman-Dehkordi, Vahid Reisi-Vanani, Samanesadat Hosseini, Zahra Lorigooini, Vajihe Azimian Zvareh, Mahour Farzan, Elham Moghtadaie Khorasgani, Karen Lozano, Zohreh Abolhassanzadeh

Mechanical Engineering Faculty Publications

Wound infection is still an important challenge in healing of different types of skin injuries. This highlights the need for new and improved antibacterial agents with novel and different mechanisms of action. In this study, by electrospinning process Tanacetum polycephalum essential oil (EO), as a natural antibacterial and anti-inflammatory agent, along with Amoxicillin (AMX) as an antibiotic are incorporated into PVA/gelatin-based nanofiber mats individually and in combination to fabricate a novel wound dressing. Briefly, we fabricated PVA/gelatin loaded by Amoxicillin as first layer for direct contact with wound surface to protects the wound from exogenous bacteria, and then built a …

Can Neural Networks Reach Human Vision Levels On Object Recognition Tasks?, Luke D. Baumel, Mikayla Cutler, Matt Hyatt, Joseph Tocco, William Friebel, Nicholas Baker Dr., George K. Thiruvathukal Dr.

Psychology: Faculty Publications and Other Works

Object recognition is a crucial function of biological vision; it allows us to draw conclusions about a visual scene that transcends the image formed by the retina. However, the task of object recognition quickly becomes a challenge when hindrances such as viewing angle, object distance from observer, illuminant qualities, and potential occlusions become active variables. Additionally, the diversity of visual features within the same category of object, coupled with the numerous contexts in which an object may be observed is demonstrative of the formidable task that is object recognition. Previous research showed a significant texture bias in Convolutional Neural Networks’ …

Spatial Drivers Of Soil Health In A Post-Fire Watershed, Reed Jd Williams

Master's Theses

Wildland fires are increasing in both severity and intensity leading to severe and lasting biogeochemical effects on soil. The CZU lightning complex started on August 16^th, 2020, and burned 86,509 acres causing severe social and ecological damage. To better understand the impact of fire on soil properties at the landscape scale, we created a digital soil mapping model with the inclusion of remotely sensed burn severity covariates. We combined a raster-stack of environmental covariates with rasters for fire severity and soil samples, to disentangle the relative contribution of fire to the spatial distribution of soil properties in the …

Artificial Intelligence And/Or Machine Learning (Ai &| Ml), George K. Thiruvathukal

Computer Science: Faculty Publications and Other Works

These slides are from an invited panel presentation at my home institution, Loyola University Chicago, organized by the Loyola University Chicago Retiree Association (LUCRA). I was asked to give a broad historical overview of AI and ML and speak about its societal impacts.

"The Loyola University Chicago Retiree Association embraces the Vision of Loyola University Chicago and will assist students, faculty, and administrators as they strive to serve humanity. The group values freedom of inquiry, the pursuit of truth, and care of others and embraces a commitment to excellence, service that promotes social justice, values based leadership, and global awareness."

Alcohol Withdrawal Severity Measures For Identifying Patients Requiring High-Intensity Care, Daniel C. To, Tessa L. Steel, Kyle A. Carey, Cara Joyce, Elizabeth M. Salisbury-Afshar, Dana P. Edelson, Anoop Mayampurath, Matthew M. Churpek, Majid Afshar

Biostatistics Collaborative Core: Faculty Publications and Other Works

OBJECTIVES: Alcohol withdrawal syndrome (AWS) may progress to require high-intensity care. Approaches to identify hospitalized patients with AWS who received higher level of care have not been previously examined. This study aimed to examine the utility of Clinical Institute Withdrawal Assessment Alcohol Revised (CIWA-Ar) for alcohol scale scores and medication doses for alcohol withdrawal management in identifying patients who received high-intensity care.

DESIGN: A multicenter observational cohort study of hospitalized adults with alcohol withdrawal.

SETTING: University of Chicago Medical Center and University of Wisconsin Hospital.

PATIENTS: Inpatient encounters between November 2008 and February 2022 with a CIWA-Ar score greater than …

A Scoping Review Of Fair Machine Learning Techniques When Using Real-World Data, Yu Huang, Jingchuan Guo, Wei-Han Chen, Hsin-Yueh Lin, Huilin Tang, Fei Wang, Hua Xu, Jiang Bian

Faculty, Staff and Student Publications

Objective: The integration of artificial intelligence (AI) and machine learning (ML) in health care to aid clinical decisions is widespread. However, as AI and ML take important roles in health care, there are concerns about AI and ML associated fairness and bias. That is, an AI tool may have a disparate impact, with its benefits and drawbacks unevenly distributed across societal strata and subpopulations, potentially exacerbating existing health inequities. Thus, the objectives of this scoping review were to summarize existing literature and identify gaps in the topic of tackling algorithmic bias and optimizing fairness in AI/ML models using real-world data …

Comprehensive Immunogenomic Profiling Of Idh1-/2-Altered Cholangiocarcinoma, Shalini Makawita, Sunyoung Lee, Elisabeth Kong, Lawrence N Kwong, Zeyad Abouelfetouh, Anaemy Danner De Armas, Lianchun Xiao, Karthikeyan Murugesan, Natalie Danziger, Dean Pavlick, Anil Korkut, Jeffrey S Ross, Milind Javle

Faculty, Staff and Student Publications

Purpose: Isocitrate dehydrogenase (IDH)1/2 genomic alterations (GA) occur in 20% of intrahepatic cholangiocarcinoma (iCCA); however, the immunogenomic landscape of IDH1-/2-mutated iCCA is largely unknown.

Methods: Comprehensive genomic profiling (CGP) was performed on 3,067 cases of advanced iCCA. Tumor mutational burden (TMB), PD-L1 expression (Dako 22C3), microsatellite instability (MSI), and genomic loss of heterozygosity (gLOH) as a surrogate marker for homologous recombination deficiency were examined. RNA sequencing of 73 patient samples was analyzed for differences in stromal/immune cell infiltration, immune marker expression, and T-cell inflammation. Tissue microarray arrays were subjected to multiplex immunohistochemistry and colocalization …

Tongue Electrical Impedance Myography Correlates With Functional, Neurophysiologic, And Clinical Outcome Measures In Long-Term Oropharyngeal Cancer Survivors With And Without Hypoglossal Neuropathy: An Exploratory Study, Nathan J Hansen, Karin Woodman, Sheila Buoy, Shitong Mao, Carly E A Barbon, Stephen Y Lai, C David Fuller, Katherine A Hutcheson, Benjamin Sanchez

Faculty, Staff and Student Publications

Background: This pilot study analyzed correlations between tongue electrical impedance myography (EIM), standard tongue electromyography (EMG), and tongue functional measures in N = 4 long-term oropharyngeal cancer (OPC) survivors.

Methods: Patients were screened for a supportive care trial (NCT04151082). Hypoglossal nerve function was evaluated with genioglossus needle EMG, functional measures with the Iowa oral performance instrument (IOPI), and multi-frequency tissue composition with tongue EIM.

Results: Tongue EIM conductivity was higher for patients with EMG-confirmed cranial nerve XII neuropathy than those without (p = 0.005) and in patients with mild versus normal EMG reinnervation ratings (16 kHz EIM: p …