Research Opportunities

Summer 2024 opportunities are posted below.
  • Experience: SCARF: Summer College of Agriculture Research Fellowship

    Experience Description: Find your passion in undergraduate research! The Summer College of Agriculture Research Fellowship (SCARF) is designed to expose you to a variety of research fields throughout the College of Agriculture.

    SCARF is a summer program that is open to Purdue College of Agriculture undergraduate students. This fellowship is a paid, 10 week program. Students experience in-depth, hands-on research, participate in a series of science communication workshops, attend faculty seminars, and industry tours.

    More information available here: https://ag.purdue.edu/department/oap/cate/research/scarf.html

    Number of Students Needed: ~20 student/faculty pairs

    This experience will occur: May, June, July

    Send resumes to: Elizabeth Byers, ebyers@purdue.edu

    Experience: The effects of rhizosphere microbiota in soil phosphorus supply

    Experience Description: In fields where phosphorus (P) fertilization is reduced as part of soil health management, corn and soy have shown the ability to maintain or recover grain yield over time. To date, these cases are more of the exception than the rule, but they reveal the ability of cropping systems to make better use of the natural capacities of soils to provide plant P. This project will test the hypothesis that reducing P fertilization encourages the establishment of symbioses between roots and bacteria and fungi whose activity increases P supply. This internship will involve measuring the impact of plant stimulated microbial processes in the rhizosphere using metagenomics (DNA sequencing) and biogeochemistry (P measurements). By studying the activity of soils at varying levels of P fertilization across the state, we expect to find patterns in soil microbiota that serve as predictors of the natural capacity for biological P fertilization. Harnessing this knowledge will lead to more efficient fertilizer use and substantiate (or refute) claims of reduced fertilization needs when practicing soil health management systems.

    Number of Students Needed: 1 (or more)

    This experience will occur: May, June, July, August

    Send resumes to: Assistant Professor Roland (Roli) Wilhelm, rcwilhelm@purdue.edu

    Experience: Research in Fetal Development

    Experience Description: Our lab is investigating the physiological mechanisms associated with fetal development in swine. Undergraduate projects for the summer 2022 are available, and will involve work on porcine models of hypothyroidism and intrauterine growth retardation. Specific activities will depend on student course schedule and availability, but applicants can expect to be involved in a combination of laboratory techniques (RNA extraction, qPCR, protein quantification, microscopy, image analysis) and animal work (necropsy, sample processing, and husbandry).

    Number of Students Needed: 1

    This experience will occur: May, June, July, August

    Send resumes to: Dr. Jonathan (Alex) Pasternak, jpastern@purdue.edu

    Experience: Viral Screening in Animals

    Experience Description: Our lab is investigating the prevalence of pathogens such as SARS-COV-2 in more than 30 animals’ species. This position will involve assisting in the collecting nasal swabs from various species, processing them to extract viral RNA/DNA and running qPCR assays.

    Number of Students Needed: 1

    This experience will occur: May, June, July, August

    Send resumes to: Dr. Jonathan (Alex) Pasternak jpastern@purdue.edu

    Experience: Aquaponics research

    Experience Description: We are conducting a series of studies evaluating aquaponic food production systems. Aquaponics is a sustainable approach to growing blue foods (seafood) and plants and we are exploring additional subsystems that will further diminish the environmental impact, while producing more products and decreasing the energy demand. Students will be involved in caring of fish and plant crops and participate in cutting edge discussions on approaches to feeding the 10 billion people expected by 2050.

    Number of Students Needed: 2

    This experience will occur: May, June, July, August

    Send resumes to: Dr. Paul Brown, pb@purdue.edu

    Experience: Undergraduate Research Opportunity in Epigenetics

    Experience Description: Student will conduct primary hypothesis-based research, learn to design experiments and interpret results. Student will utilize genetic, biochemical, or molecular strategies to assess functions of evolutionarily conserved metabolic enzymes and how their metabolic products influence chromatin, gene expression or responses to DNA damage using the budding yeast model organism Saccharomyces cerevisiae.

    Number of Students Needed: 1

    This experience will occur: May, June, July, August

    Send resumes to: Prof. Ann Kirchmaier, kirchmaier@purdue.edu

    Experience: Wildlife Camera Surveys

    Experience Description: As part of a long-term research project, we have been using trail cameras for the last 2 years to investigate small mammal (squirrels, chipmunks, mice, voles, and shrews) responses to forest management. With an array of 99 cameras, each year we have collected about 1.3 million photos. The student selected for this project will help tag photos using Wildlife Insights online software. This involves identifying photos of animals to species and accurately recording data. If interested, the student also will have an opportunity to work on a research question using the photos.

    Number of Students Needed: 1

    This experience will occur: May, June, July, August

    Send resumes to: Professor of Widlife Ecology and Habitat Management Liz Flaherty, eflaher@purdue.edu

  • Experience: Biological Growth in Engineered Water Systems

    Experience Description: Microbial growth, especially in biofilms, occurs across most engineered water systems. Whether nutrients are limited, as in drinking water, or abundant, as in hydroponics systems, this microbial growth can have wide implications. Controlling this growth through engineering changes can protect health of both humans and plants. Students engaged in this research project will apply a variety of microbiological and molecular methods to engineered water systems. Students with microbiology lab experience are encouraged to apply, but positions are open. A background in programming and informatics is also desirable.

    Number of Students Needed: 3

    This experience will occur: May, June, July, August

    Send resumes to: Assistant Professor Caitlin Proctor proctoc@purdue.edu

    Experience: Sustainable and efficient propulsion systems for autonomous UAVs

    Experience Description: Research efforts on propulsion systems for autonomous UAVs are centered on the development of effective, cost-efficient, and sustainable power sources. The combination of electric and hydrogen combustion offers greater efficiency and improved performance, leading to extended flight times, heavier payloads, and faster speeds. Furthermore, the use of hybrid propulsion systems enables the integration of multiple power sources, such as batteries, solar, wind, or fuel cells, into UAVs, thus making them more versatile. This project aims to integrate hybrid propulsion power into the flight vehicle, allowing for extended duration, faster speeds, and increased maneuverability.

    Number of Students Needed: 3

    This experience will occur: May, June, July, August

    Send resumes to: Professor Li Qiao, lqiao@purdue.edu

    Experience: Bridge Experimental and Numerical Data in revolutionary turbines

    Experience Description: This undergraduate research project focuses on creating innovative turbine designs for clean propulsion, tackling a key challenge in fluid mechanics: flow separation in internal aerodynamics. A significant obstacle in this area is conducting detailed experiments on small turbines due to probe-flow interactions. Accurately evaluating a new turbine's performance requires experiments and computational analysis. Our project aims to Bridge Experimental and Numerical Data in turbine research.

    Number of Students Needed: 1

    This experience will occur: July, August

    Send resumes to: Professor Guillermo Paniagua, gpaniagua@me.com

  • Experience: Explore an innovative therapy for treating advanced prostate cancer

    Experience Description: Prostate Cancer (PCa) is the most common cancer and the second most lethal cancer in men. Unfortunately, there is no effective therapy for late stage PCa. Our preliminary data show that advanced prostate cancer cells are sensitive to the treatment of a specific form of vitamin E. The research project will provide an opportunity to investigate potential use of this vitamin E form and its related combination therapies against late-stage prostate cancer in cell-based studies and a prostate cancer model in mice.

    Number of Students Needed: 1-2

    This experience will occur: May, June, July

    Send resumes to: Professor Qing Jiang, qjiang@purdue.edu

    Experience: Enhancing cognition by combining interval exercise and mindfulness

    Experience Description: The Physical Activity and NeuroCognitive Health (PANCH) lab is conducting a research project to investigate the efficacy of combining high-intensity interval training (HIIT) with mindfulness for enhancing children’s cognition. Specifically, this project includes five laboratory visits. The visit one includes collecting data about child participants’ demographic information, physical activity experiences (i.e., sport, exercise), and physical abilities such as motor competence and aerobic fitness. During each of the visit 2-5, child participants will complete a single session of 20-min activities, including (1) mindful HIIT, (2) HIIT, (3) mindfulness, and (4) seated rest. Before and after each activity session, child participants will complete a series of cognitive tasks while their brain activation is recorded using an electroencephalogram (EEG) system. The goal of this project is to determine the best practice method to integrate mindfulness into exercise to boost children’s brain and cognitive function.

    Our lab utilizes a multidisciplinary approach combining kinesiology, psychology, and neuroscience to better understand how we can use exercise as a strategy to optimize childhood cognitive function. Students will have opportunities to learn skills, including but not limited to: (1) administer exercise/resting metabolic test (i.e., VO2max), (2) assess cognitive function and brain activities using an electroencephalogram (EEG) system, (3) deliver different modes of exercise interventions, (4) perform data reduction and statistical analysis, (5) present research findings in research conferences, (6) recruit and interact with child participants and their parents, and (7) collaborate with a group of research personnel.

    Number of Students Needed: 2

    This experience will occur: May, June, July, August

    Send resumes to: Alvin Kao, kao28@purdue.edu

    Experience: Conflict Management in Organizations

    Experience Description: We are looking for motivated undergraduate students to join our lab in the summer to conduct research related to conflict management in organizations. Potential studies include conflict communication strategies, marginalized worker experiences, and organizational goals.

    Number of Students Needed: 2

    This experience will occur: May, June, July

    Send resumes to: Dr. Franki Kung, fkung@purdue.edu

    Experience: Building better models of language learning and delay

    Experience Description: The Purdue Language Learning and Meaning Acquisition (LLaMA) lab carries out a variety of studies that seek to understand how language is learned and represented in the minds of young learners. Our lab values diverse perspectives, and we invite students who have a range of skills, majors, and backgrounds to apply for the lab.

    Current projects explore:

    * What are early markers of language disorders?

    * Using network science to understand early language learning.

    Methods include: Behavioral assessments, survey assessments, eye tracking, network science

    Number of Students Needed: 1-4

    This experience will occur: May, June, July, August

    Send resumes to: Dr Arielle Borovsky, aborovsk@purdue.edu

    Experience: Health and Human Sciences Research Registry

    Experience Description: Help us build the Health and Human Sciences Research Registry.

    This research experience will include attending community events, working with registrant data, and data quality efforts. Students interested in data science and/or community engagement will love this experience!

    Number of Students Needed: 2

    This experience will occur: May, June, July

    Send resumes to: Administrative Lead Amanda Warmbold, awarmbol@purdue.edu

    Experience: Purdue Aphasia Research Lab

    Experience Description: Join Dr. Lee's Aphasia Research Team to be part of research projects that aim to better understand and improve communication challenges that many adults with post-stroke aphasia face. Aphasia is an acquired neurogenic (caused by stroke or other brain diseases) language disorder. Our team strives to find ways to help these patients using a range of applied and translational research techniques. Undergraduate students are involved in all aspects of our studies. For details, please check out our website: https://www.purdue.edu/hhs/slhs/aphasia/

    Number of Students Needed: 2

    This experience will occur: May, June, July, August

    Send resumes to: Professor Jiyeon Lee, lee1704@purdue.edu

    Experience: Sustainable Development through Tourism

    Experience Description: We are currently working with destinations to ensure that tourism contributes positively to the quality of life in host destinations. Student working on this project may review destinations strategic plans, develop resources and tools for communities to improve the sustainability of their tourism, or promote ways that visitors can be more responsible when they travel.

    Number of Students Needed: 1 or 2

    This experience will occur: May, June, July, August

    Send resumes to: Assoc Professor Jonathon Day, gjday@purdue.edu

  • Experience: Amphibian disease ecology

    Experience Description: Our lab studies the ecology of infectious disease in natural systems, specifically amphibians. The overarching research goal is to understand how changes to the environment affect the health of amphibian communities. This position involves assisting with 1) field sampling of ponds and wetlands in Tippecanoe County and 2) laboratory rearing of tadpoles and post-metamorphic amphibians for experiments. Candidates should have a strong interest in ecology and/or evolution.

    Number of Students Needed: 1

    This experience will occur: May, June, July, August

    Send resumes to: Dr. Catherine Searle, searlec@purdue.edu

    Experience: Conservation Genetics

    Experience Description: Students will gain experience with a lab that focuses on conservation and genetics. In particular, the students will work with model aquatic crustacean, Daphnia, to identify the best conservation strategies for wild populations and ecosystems.

    Research will include:

    * Field sampling in local ponds

    * Genetics; specifically extraction of DNA and genotyping of clones

    * Experimental design and analysis in a molecular lab and greenhouse

    Number of Students Needed: 1-3

    This experience will occur: May, June, July, August

    Send resumes to: Dr. Mark Christie, christ99@purdue.edu

    Experience: Studying El Nino’s influence on Peruvian rainfall using water stable isotope and major ion analysis

    Experience Description: The 2023-24 El Nino event is the strongest since 2015-16. During typical El Nino influence, rainfall patterns in coastal Peru are influenced due to changing ocean-atmosphere interactions. In collaboration with Peruvian researchers, Dr. Welp and Dr. Michalski’s research groups are collecting daily rainfall samples from ~ 20 collection stations for chemical analysis. Water stable isotope analysis will be used to better understand the moisture source and atmospheric transport conditions that generate rain in this region. Major ion analysis will be used to better understand the moisture sources like ocean evaporation or plant transpiration from the Amazon that ultimately generate rain in this region. During this summer project, one student will perform laboratory analysis using infrared laser spectroscopy for isotopic ratios. Another student will perform laboratory analysis using ion chromatography. Both will analyze their results in the context of large-scale atmospheric conditions from weather reanalysis. Students interested in chemistry and atmospheric science are especially encouraged to apply.

    Number of Students Needed: 2

    This experience will occur: May through August (10 weeks, flexible)

    Send resumes to: Dr. Lisa Welp, Associate Professor, lwelp@purdue.edu

  • Experience: 'Big data' integration and interrogation of human and animal metagenomes to characterize risks of antimicrobial resistance

    Experience Description: Microbial communities (i.e. microbiomes) are the nexus for the emergence, accumulation, and dissemination of antimicrobial resistance (AMR) genes and mobile genetic elements in humans, animals, food, and the environment. However, current bioinformatic and computational tools lack precision, rigor, scalability, and usability necessary for researchers to predict emergence of novel AMR traits and monitor the mobility potential of of existing AMR genes in these diverse contexts. This exciting opportunity is centered on the development of novel computational tools that enable retrieving and processing metagenomic datasets, querying metagenomic gene content, and deploying novel algorithms and visualization methods to understand AMR risk dynamics in diverse clinical and non-clinical samples. Students engaged in this research project must bring a background in programming, informatics, and / or computer science. Additionally, students with an interest in microbiology and microbiology laboratory experience are encouraged to submit an application.

    Number of Students Needed: 1-2

    This experience will occur: May, June, July, and first half of August

    Interested applicants should contact: Assistant Professor of Infectious Diseases, Dr. Ilya Slizovskiy (islizovs@purdue.edu)

  • Experience: Experiments Using AI Technologies to Improve Children's Bible Stories

    Experience Description: In this research project you will be learn about and experiment with AI technologies such as GPT 4.0, DALLE-3, DALLE-2, MidJourney, and Craiyon to generate relevant images based on the context and theme of the user's story. The motivation for this research is that there exist diverse audiences who seek custom images to support their stories and presentations. Presenters are often tasked with trying to source something “close” to what they are seeking by searching the internet, which is often not exactly what they want, and can be time-consuming. We will be experimenting with technologies to generate the best possible set of images for certain children’s Bible stories. This work extends a previously presented undergraduate research project that won 1st place in the INFORMS ORMS Tomorrow magazine’s mini-poster competition. The student chosen to work on this research will be expected to present a poster of their work (similar in fashion to the previous project) at the Purdue Undergraduate Research Expo in November 2024. This work is also part of a working research paper showing end users the pros can cons of these AI technologies today and how they might achieve the best image outcomes for specific textual contexts using AI technologies. The background expectation for the student is to be familiar with R or Python programming, but have a strong interest in media or image generation. This would be a great project to showcase to employers for an analytics/data-science-minded marketing, communication, or computer graphics technology student.

    Number of Students Needed: 1 or 2

    This experience will occur: May, June, July, August

    Send resumes to: Professor Matthew Lanham, lanhamm@purdue.edu

    Experience: The College Graduate Matchmaker: How to Showcase Graduates to Employers & Help Candidates Improve Their Profiles

    Experience Description: In this research project you will be learn about and get experience with web development technologies, survey design and analysis, as well Tableau dashboarding to help recruiters identify analytics talent and give candidates constructive feedback to improve their profiles. The motivation for this research is that Purdue University’s M.S. in Business Analytics & Information Management (BAIM) program has many corporate partners who seek to hire graduates from this program. However, a challenge often faced by the potential employer is how to find the right set of candidates to interview without having to spend a lot of time going through resume books or LinkedIn/Handshake profile lists. Also, what is the best way to showcase the candidates to employers, and how can we capture feedback from employers about candidates to help them improve their profiles? This work hopes to revitalize and extend a previous 3rd place award winning Purdue Undergraduate Research Conference project that helped to achieve a 97% placement rate during the 2020 COVID-19 pandemic when job market conditions were poor like we have observed in 2023. The previous site is currently being recreated using traditional HTML and JavaScript. The background expectation for the student is to be familiar with Python programming, HTML, and some JavaScript. You will help make site functionality improvements and help capture partner feedback about the tool via a feedback feature, as well as create a Tableau dashboard from scratch that will be added to the site to show placement locations, roles, etc., not only for the current cohort but previous program cohorts. The student chosen to work on this research will be expected to present a poster of their work (similar in fashion to the previous project) at the Purdue Undergraduate Research Expo in November 2024. This would be a great project to showcase to employers for those studying CS, CIS, BAIM, MIS, or other technology area, but all majors will be considered if they believe they could do the work well.

    Number of Students Needed: 1

    This experience will occur: May, June, July, August

    Send resumes to: Professor Matthew Lanham, lanhamm@purdue.edu

    Experience: Closed-Loop Sustainability of 3D Printed Carbon Fiber Reinforced Thermoplastic Polymer Composite Tooling

    Experience Description: Due to high deposition rate of fiber-reinforced composite 3D printing technology, it is widely used for large-scale tooling, such as wind turbine blade and aerospace structure prototype. The service life of 3D printed composite tooling is often limited to only a few hundred production cycles. Also, due to the rapid design changes during the prototype phase, the tool might become unnecessary after a few tries. Due to the substantial scale of the 3D printed composite tools, a significant amount of material is required for each application. Given that 3D printed composite tooling represents an emerging technology, there is currently no effective solutions or studies addressing its end-of-life recycling. This study rectifies this gap by proposing and demonstrating a method for recycling 3D printed carbon fiber reinforced composite tooling. The study involves utilizing mechanical recycling technology to shred end-of-life 3D printed tools. An extruder and pelletizer will be used to convert the shredded composite material back into pellet stock for next 3D printing cycle. Throughout the recycling process, factors such as polymer degradation, fiber length, and processability will be thoroughly investigated. Additionally, we will focus on determining the optimal process parameters, including extruder temperature, pressure, and feed rate. This research aims to contribute to the sustainable life cycle management of 3D printed composite tooling, fostering a closed-loop approach that mitigates environmental impact while maximizing resource efficiency.

    Number of Students Needed: 2

    This experience will occur: May, June, July, August

    Send resumes to: Assistant Professor Garam Kim, kim1652@purdue.edu

    Experience: Processing and Characterization of Different Types of Cough Sounds

    Experience Description: Different respiratory diseases, including chronic obstructive pulmonary disease (COPD), asthma, and coronavirus-caused diseases, e.g., COVID-19, SARS, and MARS, have some common symptoms, such as coughs and breathlessness. However, survey-based traditional approaches, such as the Leicester Cough Questionnaire (LCQ), Cough-Specific Quality-of-Life Questionnaire (CQLQ), and COPD Assessment Test (CAT) used for disease assessment often suffers from recall burden, human errors, and biases. With the advancement of smartphone sensing and artificial intelligence (AI), we can detect coughing patterns from smartphone microphone audio signals. Thereby, this smartphone sensing can help us to automate the disease symptom reporting process and enhance patient-physician communication. Therefore, it is important to assess different types of coughs obtained from healthy people as well as patients with different respiratory diseases, such as COPD and COVID-19. Working with an interdisciplinary research team, in this project, students will first process cough audio recordings obtained from different sources and then, they will visualize and compute different properties of those cough sounds. During this project, student researchers will be closely guided in every step, including problem formulation, data processing and characterizations, statistical analysis and data visualization, and interpretation of findings. Thereby, participating in this project, our student researchers will achieve technical expertise to solve real-world problems.

    Number of Students Needed: 2

    This experience will occur: May, June, July, August

    Send resumes to: Assistant Professor Sudip Vhaduri, svhaduri@purdue.edu

    Experience: Soft-Biometric-based IoT Authentication

    Experience Description: With the emergence of the internet of things (IoT) and recent advancement of smart sensing technology, smartphones and wearables, such as Fitbits, are packed with a range of sensors that can help to keep track of our health and fitness, unlock cars and homes, validate and complete financial transactions, among several other services. Often these services are delivered based on users’ personal information. However, due to size and computing limitations, traditional authentications using face recognition, irish scan, and electrocardiography (ECG) signals are not convenient for market wearables. Therefore, it is crucial to develop a user authentication that can validate a user utilizing the user’s less informative coarse grained data collected by personal devices, such as smartphones and wearables, and a multi-modal data fusion technique. Working with an interdisciplinary research team, in this project, students will first process various types of data, e.g., heart rate, gait, breathing sounds obtained from smartphones and Fitbits. Then, students will visualize and compute different features. Finally, students will develop machine learning models to authenticate a user. During this project, student researchers will be closely guided in every step, including problem formulation, data processing and characterizations, statistical analysis and data visualization, machine learning model development, and interpretation of findings. Thereby, participating in this project, our student researchers will achieve technical expertise to solve real-world problems.

    Number of Students Needed: 2

    This experience will occur: May, June, July, August

    Send resumes to: Assistant Professor Sudip Vhaduri, svhaduri@purdue.edu

    Experience: Detect Healthy and Unhealthy Coughs Using Machine Learning Models

    Experience Description: While millions of people are dying due to coronavirus-caused COVID-19 disease and other respiratory diseases, including asthma, and COPD, developing predictive machine learning models that can detect healthy and unhealthy coughs from audio recordings of a person can be very useful to develop artificially intelligent (AI) systems to objectively report cough symptoms to physicians even in a remote set up. While developing these predictive models, it will be crucial to validate them across multiple datasets. These models will process data securely and protect people’s privacy. Thereby, these secure machine learning models and their AI applications can help to set up a bridge between healthcare providers and their patients remotely. Thereby, the proposed predictive models have a long-term impact by minimizing people’s suffering and improving their quality of life across the globe.

    Working with an interdisciplinary research team, in this project, students will first process audio recordings obtained from smart wearables. Then, students will visualize and compute different features. Finally, students will develop machine learning models to detect healthy and unhealthy coughs. During this project, student researchers will be closely guided in every step, including problem formulation, data processing and characterizations, statistical analysis and data visualization, machine learning model development, and interpretation of findings. Thereby, by participating in this project, our student researchers will achieve technical expertise to solve real-world problems. The students will also get a clear idea of how their scientific discovery contributes to the entire community in terms of developing new sustainable global health solutions that are wide-scale adaptable at a low cost.

    Number of Students Needed: 2

    This experience will occur: May, June, July, August

    Send resumes to: Assistant Professor Sudip Vhaduri, svhaduri@purdue.edu

    Experience: Toward Identifying A User from Missing IoT Biometrics

    Experience Description: With the emergence of the internet of things (IoT), smart sensing devices ranging from smart wearables, such as Fitbits or Apple watches, to smartphones are packed with a range of sensors helping us with a range of services from unlocking cars and homes to validating financial transactions, among several other services. But, often these services are delivered based on a user’s sensitive personal information, including demographic identity, and various biometric data, ranging from heart rate to breathing patterns. Therefore, it is important to understand how missing biometric samples can be fatal to predict a user’s identity and his/her entire cyber-physical space. This project will utilize machine learning and data fusion techniques on wearable and smartphone data to predict a user’s identity to better understand possible risks and foster global security.

    Working with an interdisciplinary research team, in this project, students will first process various types of data, e.g., heart rate, gait, and breathing patterns, among several others obtained from smartphones and smart wearables. Then, students will visualize and compute different features. Finally, students will develop machine learning models to authenticate a user. During this project, student researchers will be closely guided in every step, including problem formulation, data processing and characterizations, statistical analysis and data visualization, machine learning model development, and interpretation of findings. Participating in this project, our student researchers will achieve technical expertise to solve real-world problems. The students will also get a clear idea of how their scientific discovery contributes to the entire community in terms of securing their cyber-physical space.

    Number of Students Needed: 2

    This experience will occur: May, June, July, August

    Send resumes to: Assistant Professor Sudip Vhaduri, svhaduri@purdue.edu

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