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Articles 34411 - 34440 of 1111747
Full-Text Articles in Entire DC Network
Effects Of Code Scaffolding In Increasing Student Confidence In Programming Cryptography, John Denny
Effects Of Code Scaffolding In Increasing Student Confidence In Programming Cryptography, John Denny
LSU Master's Theses
Cryptography is essential for secure communications, and new threats require more students willing to program and interact with cryptographic systems. Previous research is focused on tools for teaching these systems at a high level, teaching through attacks against these systems, and proper use of these systems in software development. In this paper, we seek to design a workshop to use scaffolded Python code to teach how these cryp- tographic systems are designed. We explore the use of code scaffolding for students to program an example implementation of the McEliece crypto- graphic system to build confidence in working with these systems. …
Integrating Augmented Reality (Ar) Into Industrial Engineering Education: Supporting Assembly Line Operations In Advanced Manufacturing Laboratory, Fidan Abdullayeva
Integrating Augmented Reality (Ar) Into Industrial Engineering Education: Supporting Assembly Line Operations In Advanced Manufacturing Laboratory, Fidan Abdullayeva
LSU Master's Theses
The rapid development of innovative technology underscores the importance of preparing students to meet industry expectations. This study aims to design, develop, and integrate Augmented Reality (AR) applications into Industrial Engineering (IE) education, specifically within LSU’s IE 2400 System and Work Methods course. The research incorporates technology like Microsoft HoloLens 2 into laboratory exercises. It seeks to enhance students’ comprehension and visualization of complex industrial systems and concepts, while familiarizing them with AR technology’s potential in the manufacturing industry. The AR application features functionalities tailored to support specific roles. These include AR-enhanced assembly manuals for Assemblers and quality inspection tools …
Utilizing A Virtual Firewall Appliance For Introducing And Reinforcing The Concepts And Implementation Of Devices To Improve Security In A Computing Environment, Stanley Mierzwa, Christopher Eng
Utilizing A Virtual Firewall Appliance For Introducing And Reinforcing The Concepts And Implementation Of Devices To Improve Security In A Computing Environment, Stanley Mierzwa, Christopher Eng
Center for Cybersecurity
The educational realm of higher education cybersecurity curriculum continues to evolve to provide more opportunities for experiential hands-on and work role-related practical applications of technology solutions. Gaining greater competencies is quickly becoming a normal requirement for such programs that are designated by the National Security Agency Center of Academic Excellence programs. The work roles of cybersecurity include a variety of knowledge, skills, and abilities, depending on the category of the activity or task. Firewalls have been a staple cybersecurity, network security, and information security device and strategy to protect organization networks and computing environments. This paper will provide details and …
Mathematical Modeling And Optimization Of Polymer Cold Spray Deposition For Enhanced Efficiency, Okikiola Ganiu Agbabiaka
Mathematical Modeling And Optimization Of Polymer Cold Spray Deposition For Enhanced Efficiency, Okikiola Ganiu Agbabiaka
Theses and Dissertations
Cold spray (CS) is a promising additive manufacturing technique for various industries, including aerospace and automotive. However, the application of CS to polymers presents unique challenges due to their inherent properties and complex deposition mechanisms. This study addresses critical knowledge gaps in polymer cold spray processes, focusing on optimizing parameters for enhanced deposition of polyvinyl alcohol (PVA) and polyamide-6 (nylon 6). Through a comprehensive three-stage experimental approach, the effects of gas temperature, feed rate, standoff distance, gas pressure, raster speed, particle size, and crystallinity on deposition efficiency was investigated. Utilizing advanced design of experiments methodologies, including a response surface methodology, …
Optimization Of Rheological Models Using Machine Learning-Based Surrogates, Sourav Saha
Optimization Of Rheological Models Using Machine Learning-Based Surrogates, Sourav Saha
LSU Master's Theses
This study addresses the challenge of accurately modeling flows of complex, multiphase media through fluid machines, where highly viscous, compressible, and shear-thinning behavior of the medium complicates the construction of predictive models. Such media include slurries, biomass, foods, and other materials of high value and societal importance. A high-fidelity CFD model of a screw-type fluid machine with an outlet flow restriction is developed. The flowing medium is treated as a single-phase, compressible, non-Newtonian fluid. The model incorporates a non-linear pressure-dependent density model and a strain-rate-dependent viscosity law (Cross power law). A parametric study is conducted by varying key rheological parameters …
Impact Of Physiological And Environmental Variation On The Behavioral Response Of The Two Biological Control Agents Of The Emerald Ash Borer To Host-Associated Odors, Vanshika Jindal
LSU Master's Theses
Emerald ash borer (Agrilus planipennis Fairmaire; EAB) is an invasive pest that threatens ash trees (Fraxinus spp.) throughout North America and Europe. Since its introduction to North America, EAB has killed hundreds of millions of trees, resulting in severe ecological and economic damage exceeding 10 billion US dollars. Classical biological control involves the introduction of natural enemies from the native range of pests to manage their populations. Specialist parasitoid wasps have been released to reduce the populations of EAB. Detection and response to long-range attractants associated with EAB is critical for the location and parasitism by classical biological …
Lithological Modeling And Aquifer Characterization Of The Coastal Lowlands Aquifer System In Texas, Emmanuel Egyin Hayford
Lithological Modeling And Aquifer Characterization Of The Coastal Lowlands Aquifer System In Texas, Emmanuel Egyin Hayford
LSU Master's Theses
The Texas Coastal Lowlands Aquifer System (CLAS) is a crucial water resource for the Gulf Coast, serving millions through municipal, agricultural, and industrial supplies. However, its sustainability is increasingly threatened by factors such as population growth, saltwater intrusion, land subsidence, and climate change. A significant limitation is the absence of a comprehensive, data-rich, three-dimensional lithologic model that accurately represents the intricate structure and geometry of the aquifer. Existing models are overly simplistic, treating the hydrogeologic unit as laterally uniform and failing to capture its true hydrogeologic complexity. This study addresses this gap by developing the first high-resolution 3D lithologic model …
Integrative Proteogenomics And Forward Genetics Reveal A Novel Mitotic Vulnerability In Triple-Negative Breast Cancer, Nicholas J Neill, Shankha Satpathy, Karsten Krug, Jitendra K Meena, Nivetha Ramesh Babu, Cheyenne Calderon, Desmon Reed, Marcus J Weber, Lacey E Dobrolecki, Alaina Lewis, Christina Sallas, Meenakshi Anurag, Kimberly R Holloway, Chen Huang, Suhas Vasaikar, Maria F Cardenas, Beom-Jun Kim, Doug W Chan, Shayan C Avanessian, Siddhartha Tyagi, Mayra Orellana, Sufeng Mao, Heyuan Li, Fade Gong, Sarah J Kurley, Kristen L Meerbrey, Calla M Olson, Amritha Nair, Tingting Sun, Hsiang-Ching Chung, Elizabeth A Bowling, Jarey H Wang, Pengju Zhang, Peng Xiao, Duxiao Yang, Fabio Stossi, Mei-Yin C Polley, Alexander B Saltzman, Filip Mundt, D R Mani, Michael A Gillette, Susan G Hilsenbeck, George Miles, Carolina Gutierrez, C Kent Osborne, Charles Y Lin, Nathanael S Gray, Jinpeng Sun, David A Wheeler, Charles M Perou, Anna Malovannaya, Michael T Lewis, Bing Zhang, Matthew J Ellis, Steven A Carr, Thomas F Westbrook
Integrative Proteogenomics And Forward Genetics Reveal A Novel Mitotic Vulnerability In Triple-Negative Breast Cancer, Nicholas J Neill, Shankha Satpathy, Karsten Krug, Jitendra K Meena, Nivetha Ramesh Babu, Cheyenne Calderon, Desmon Reed, Marcus J Weber, Lacey E Dobrolecki, Alaina Lewis, Christina Sallas, Meenakshi Anurag, Kimberly R Holloway, Chen Huang, Suhas Vasaikar, Maria F Cardenas, Beom-Jun Kim, Doug W Chan, Shayan C Avanessian, Siddhartha Tyagi, Mayra Orellana, Sufeng Mao, Heyuan Li, Fade Gong, Sarah J Kurley, Kristen L Meerbrey, Calla M Olson, Amritha Nair, Tingting Sun, Hsiang-Ching Chung, Elizabeth A Bowling, Jarey H Wang, Pengju Zhang, Peng Xiao, Duxiao Yang, Fabio Stossi, Mei-Yin C Polley, Alexander B Saltzman, Filip Mundt, D R Mani, Michael A Gillette, Susan G Hilsenbeck, George Miles, Carolina Gutierrez, C Kent Osborne, Charles Y Lin, Nathanael S Gray, Jinpeng Sun, David A Wheeler, Charles M Perou, Anna Malovannaya, Michael T Lewis, Bing Zhang, Matthew J Ellis, Steven A Carr, Thomas F Westbrook
Faculty, Staff and Students Publications
Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer with few effective targeted therapies. Taxanes and other microtubule-targeting agents (MTAs) are frontline chemotherapies for TNBC; however, the molecular pathways that cause TNBC taxane sensitivity are largely unknown, preventing selection of taxane-responsive patients and development of more selective therapeutic strategies. In this study, we identified tumor-selective vulnerabilities in TNBC harboring inactivation of the tumor suppressor PTPN12 by integrating proteogenomic characterization and synthetic lethality screening. We discovered that PTPN12 inactivation drives mitotic defects through aberrant hyperactivation of the ubiquitin ligase complex APCFZR1, a critical regulator of the cell cycle. Consistent …
Educational Policies Committee Agenda November 6, 2025, Utah State University
Educational Policies Committee Agenda November 6, 2025, Utah State University
Educational Policies Committee
- Approval of Minutes - October 2, 2025
- Subcommittee Reports
- Curriculum Subcommittee
- Academic Standards Subcommittee
- General Education Subcommittee
- Other Business
- Adjourn: 4:00 pm
Experts’ Validation Of The Fundamental Cybersecurity Competency Index (Fcci) Using A Commercial Cyber Range Through Human-Generative Artificial Intelligence (Genai) Teaming, Dariusz Witko, Yair Levy, Catherine Neubauer, Greg Simco, Laurie P. Dringus, Melissa Carlton
Experts’ Validation Of The Fundamental Cybersecurity Competency Index (Fcci) Using A Commercial Cyber Range Through Human-Generative Artificial Intelligence (Genai) Teaming, Dariusz Witko, Yair Levy, Catherine Neubauer, Greg Simco, Laurie P. Dringus, Melissa Carlton
Journal of Cybersecurity Education, Research and Practice
The increasing volume of cyber threats, combined with a critical shortage of skilled professionals and rising burnout among practitioners, highlights the urgent need for innovative solutions in cybersecurity operations. Generative Artificial Intelligence (GenAI) offers promising potential to augment human analysts in cybersecurity, but its integration requires rigorous validation of the fundamental competencies that enable effective collaboration of human-GenAI teams. This research study employed a mixed-methods research project designed to evaluate human-GenAI teams, emphasizing the role of expert consensus in shaping the experimental assessment of the Fundamental Cybersecurity Competency Index (FCCI) in a commercial cyber range. We engaged 20 Subject Matter …
Improving The Health Of Older Adults Through Access To Wellness Facilities, Rose Hayes, Riley Kimmel, Olivia Beam, Michele Shaw
Improving The Health Of Older Adults Through Access To Wellness Facilities, Rose Hayes, Riley Kimmel, Olivia Beam, Michele Shaw
NURS 404/406 Research & Info Management
PICOT Question: How does access to wellness facilities affect the health of the elderly?
Newsletter 2025.11.03, Fcrh Honors Program
Newsletter 2025.11.03, Fcrh Honors Program
What's Going On, Honors? (2025-26)
No abstract provided.
A Temperature-Sensitive Crispr-Cas12a System For Sterile Insect Technique, Christina Nguyen, Ahmed Idowu Omotayo, Sara Sanz Juste, Xuechun Feng, Víctor López Del Amo
A Temperature-Sensitive Crispr-Cas12a System For Sterile Insect Technique, Christina Nguyen, Ahmed Idowu Omotayo, Sara Sanz Juste, Xuechun Feng, Víctor López Del Amo
Faculty, Staff and Student Publications
The sterile insect technique (SIT) reduces population numbers by releasing sterile males that produce non-viable progeny. Specifically, CRISPR/Cas9-based precision-guided SIT (pgSIT) generates sterile males through genetic crosses of two transgenic lines: a Cas9 strain and a guide RNA (gRNA) strain targeting male sterility and female viability or infertility. However, pgSIT requires separate maintenance of the two lines and sorting to obtain sterile males, creating possible challenges for scaling. To overcome this, we propose using Cas12a nuclease, which is inoperative at lower temperatures but active at higher temperatures. Here, we develop a Cas12a-based pgSIT system involving a single strain containing both …
Developing Middle School Students’ Systems Thinking In Earth Science Through Dynamic Simulations: The Case Of The Rock Cycle, Nicole Panorkou, Amanda Provost, Gabriella Migliore
Developing Middle School Students’ Systems Thinking In Earth Science Through Dynamic Simulations: The Case Of The Rock Cycle, Nicole Panorkou, Amanda Provost, Gabriella Migliore
Department of Mathematics Faculty Scholarship and Creative Works
In this paper, we discuss the development of students’ systems thinking about the rock cycle as they interact with an instructional module that includes three interactive simulations and accompanying questioning. We present the reasoning of six students from a whole-class design experiment in a sixth-grade classroom to describe how students’ systems thinking may be constructed and reorganized through activity with our design. Our findings highlight a framework of students’ systems thinking about the rock cycle that builds and expands prior work to specific sub-components. We also discuss an emerging framework for supporting students’ systems thinking through careful design of simulation …
Non-Reciprocal Coupling Of Minimal Active Colloids Under Confinement: Rotating Ferromagnetic Janus Particles Near Boundaries, Amrutha Raghu
Non-Reciprocal Coupling Of Minimal Active Colloids Under Confinement: Rotating Ferromagnetic Janus Particles Near Boundaries, Amrutha Raghu
LSU Doctoral Dissertations
Active colloids are microscopic particles that convert energy at the single-particle level into sustained motion and dynamically evolving assemblies. Their ability to transform continuous energy input into controlled motion opens new frontiers in microrobotics, adaptive materials, and targeted transport. Yet, achieving efficient propulsion at the microscale remains fundamentally challenging because viscous forces dominate while inertia becomes negligible. Unlike macroscopic systems that sustain propulsion through momentum, active colloids must harness non-reciprocal interactions with the surrounding fluid to generate persistent, time-irreversible motion. Studying minimal active systems—the simplest realizations that still capture the essential physics—provides a powerful route to uncover the non-equilibrium principles …
Practical Real-Time Permanent Magnet Energy Spectrometer Using A Diode Array For Therapeutic Electron Beam Tuning And Quality Assurance, Mason W. Heath
Practical Real-Time Permanent Magnet Energy Spectrometer Using A Diode Array For Therapeutic Electron Beam Tuning And Quality Assurance, Mason W. Heath
LSU Doctoral Dissertations
Purpose: Develop a practical, real-time permanent magnet electron energy spectrometer and evaluate it for beam tuning and quality assurance (QA) of therapeutic electron beams.
Methods: Aim 1: A 0.55 T permanent magnet was coupled to Sun Nuclear SRS MapCHECK® PC boards, providing two interlaced diode arrays. Detector response, Rmeas(zdiode) versus diode position zdiode, was extracted from raw diode array readings, correcting for diode sensitivity and other factors. Using Monte Carlo (MC) computed, monoenergetic detector response functions, a curve-fitting algorithm extracted the energy spectrum, from Rmeas(zdiode). The energy spectra for 7-20 …
Developing Optogenetic Approaches To Study Ca2+ Signaling Processes, Tatsuki Nonomura, Xiaoxuan Liu, Megan Chiu, Zhi Tan, Tien-Hung Lan, Yubin Zhou
Developing Optogenetic Approaches To Study Ca2+ Signaling Processes, Tatsuki Nonomura, Xiaoxuan Liu, Megan Chiu, Zhi Tan, Tien-Hung Lan, Yubin Zhou
Faculty, Staff and Students Publications
Calcium ions (Ca2+) are essential second messengers intimately implicated in a variety of biological processes, ranging from short-term events such as muscle contraction to long-term effects like gene expression. Dysregulated Ca2+ signaling can disrupt cellular function and contribute to the development of various human diseases, including developmental, neurological, immunoinflammatory, metabolic, and cardiovascular disorders. To study the mechanisms and biological consequences of Ca2+ signaling, optogenetic approaches have proven invaluable, as they offer exceptional spatiotemporal resolution compared to traditional methods. Recent progress in non-opsin-based optogenetics, particularly those engineered from Ca2+ release–activated Ca2+ (CRAC) channels, has substantially advanced our understanding of Ca2+ signaling …
Design Rules For Soft Materials: Insights From Precision Bottlebrush Polymers, Michael R. Dearman
Design Rules For Soft Materials: Insights From Precision Bottlebrush Polymers, Michael R. Dearman
LSU Doctoral Dissertations
The rational design of soft materials requires a fundamental understanding of how molecular architecture governs macroscopic properties. This dissertation establishes predictive design rules for branched soft materials by exploiting the structural homogeneity of precision bottlebrush polymers (dispersitySC, ĐSC = 1.0). Using discrete macromonomers (Đ = 1.0) to eliminate side chain dispersity, this work systematically varies backbone and side chain lengths, chemistry, and topology to uncover universal relationships between molecular parameters and thermal or interfacial behavior. A critical backbone length (NBB*) is identified, above which glass transition temperature (Tg) …
Quantum Phase Coherent Tunneling In A Mixed-Morphology Superlattice Heterostructure, Qing Shao, Can C. Aygen, Xianyu Chen, Woongkyu Lee, Robert P.H. Chang, Julia E. Medvedeva, Matthew A. Grayson
Quantum Phase Coherent Tunneling In A Mixed-Morphology Superlattice Heterostructure, Qing Shao, Can C. Aygen, Xianyu Chen, Woongkyu Lee, Robert P.H. Chang, Julia E. Medvedeva, Matthew A. Grayson
Physics Faculty Research & Creative Works
Multilayer phase coherence is demonstrated in a mixed morphology superlattice heterostructure, generalizing the paradigm for superlattice miniband engineering. Thirty years since the original proposal by Tsu, a superlattice has been realized with alternating amorphous (a-MoO3) and polycrystalline (pc-In2O3) layers, whose high-quality exhibits quantum phase coherence across multiple periods of amorphous barriers. Cross-plane phase coherence is quantified via weak localization signatures in magnetic field under the diffusive Fermi-surface model.
Expanding Ode Examples: Introducing Gene Regulation Dynamics Through Hill Functions, Maila Hallare, Jane M. Santamore
Expanding Ode Examples: Introducing Gene Regulation Dynamics Through Hill Functions, Maila Hallare, Jane M. Santamore
CODEE Journal
Gene regulation is a fundamental biological process that controls gene expression. It can explain phenomena such as cell differentiation, circadian rhythms, disease progression, and metabolic control, among many others. Despite their importance in mathematical biology, gene regulation models are rarely featured in traditional ODE textbooks, which focus mainly on examples from engineering, physics, chemistry, and population biology. This article introduces gene regulation dynamics as a valuable addition to ODE curricula, presenting the models from a mathematical perspective and building on properties of the Hill function. These models deepen the understanding of biology-inspired ODE applications, provide accessible research opportunities for students, …
Poo Manager: Co-Designing A Serious Computer Game To Improve Constipation Management Awareness In Carers Of People With Intellectual Disabilities, Rohit Shankar
Peninsula Medical School
Approximately 2% of the population are people with intellectual disability (PwID). PwID are prone to multimorbidity, polypharmacy and premature mortality. Constipation is a prevalent and life-threatening issue for PwID fostered by iatrogenic harm, ignorance and stigma in family, and health and care settings. Despite its clinical significance, educational tools targeting caregivers’ knowledge of constipation prevention and management in PwID are scarce. Serious games (SGs) offer a novel and engaging platform to educate carers and reduce health stigma. Poo manager was collaboratively designed by a team of clinicians, academics, game developers and people with lived experience. The game involves navigating a …
Duplicate Packetsuppression In Multi-Access Named Data Network Using Reinforcement Learning, Bidhya Shrestha
Duplicate Packetsuppression In Multi-Access Named Data Network Using Reinforcement Learning, Bidhya Shrestha
Electronic Theses and Dissertations Archive
Named Data Networking (NDN) is a promising data-centric Internet architecture that focuses on data rather than the hosts. By design, NDN supports multicast communication, enabling data distribution to multiple recipients. This behavior is beneficial for modern applications such as video conferencing, online gaming, and vehicular networks. However, when multiple NDN nodes access the same data on a multicast link, they may send duplicate Interest and Data packets. It causes bandwidth wastage and latency in the network. Our research employs Actor Critic network which is a type of Reinforcement Learning, to optimize the wait time each node should observe before sending …
Effects Of Yttrium And Barium Trace Impurities On The Dielectric Properties Of Srtio3 (111) Single Crystals At Cryogenic Temperatures, Hung Trinh, Alan Devoe, Fatih Dogan
Effects Of Yttrium And Barium Trace Impurities On The Dielectric Properties Of Srtio3 (111) Single Crystals At Cryogenic Temperatures, Hung Trinh, Alan Devoe, Fatih Dogan
Materials Science and Engineering Faculty Research & Creative Works
Commercially available single crystals of (111) SrTiO3 were found to contain impurities of varying amounts that strongly affected their dielectric performance at cryogenic temperatures. Three crystals with total impurities of 111, 126, and 625 ppm, primarily of barium and yttrium, were analyzed. Relative permittivity (εr) and loss tangent were investigated with high resolution as a function of temperature (4 K to 100 K), DC voltage (0 V/cm to 800 V/cm), and frequency (100 Hz to 1 MHz). An impurity level as low as ≈500 ppm barium resulted in an increase of the maximum permittivity (εm) to approximately 50,000 at …
Preclinical Fluorescence-Guided Imaging Leveraging Surrounding Sentinel Tumor Microenvironment Identifies High-Risk Premalignant Pancreatic Lesions, Shilpa Sharma, Xiaoxia Wen, Jianbo Wang, Beibei Huang, Denise A Hernandez, Cong-Dat Pham, Zhiwen Liu, Susanne Je-Han Lin, Aiko Yamaguchi, Dimitra K Georgiou, Ryan P Coll, H Charles Manning
Preclinical Fluorescence-Guided Imaging Leveraging Surrounding Sentinel Tumor Microenvironment Identifies High-Risk Premalignant Pancreatic Lesions, Shilpa Sharma, Xiaoxia Wen, Jianbo Wang, Beibei Huang, Denise A Hernandez, Cong-Dat Pham, Zhiwen Liu, Susanne Je-Han Lin, Aiko Yamaguchi, Dimitra K Georgiou, Ryan P Coll, H Charles Manning
Faculty, Staff and Student Publications
Purpose: Because surgery is the only potential cure for pancreatic cancer, high-risk premalignant pancreatic lesions often evade detection by palpation or white-light visualization, increasing the risk of recurrence. We asked whether near-infrared fluorescence imaging of tumor-associated inflammation could identify high-risk premalignant lesions, leveraging the tumor microenvironment as a sentinel of local disease and, thus, enhance surgery outcomes.
Experimental design: Fluorescence-guided surgery was performed on genetically engineered mice [Ptf1a-Cre; LSL-KrasG12D/+; Smad4flox/flox (KSC)] at discrete stages of disease progression, histologically confirmed high-risk, premalignant lesions in postnatal mice to locally advanced pancreatic tumors in adults, using the imaging agent V-1520, a translocator protein …
Chimes: November 3, 2025, Calvin University
Chimes: November 3, 2025, Calvin University
Chimes
Calvin Theological Seminary builds new housing complex by Ellery Johnson
On-campus work is hard to come by, students say by Jorie Cho
Talking to the stars: Calvin's new ham radio club revives a lost art by Evangeline Anga
Flag football: The latest addition of the Unified Sports program at Calvin by Zach Kern & Hendrik Beelen
150 Psalms for 150 years of Calvin University by Ella Vanden Berg
A Multiomics Recovery Factor Predicts Long Covid In The Impacc Study, Gisela Gabernet, Jessica Maciuch, Jeremy P Gygi, John F Moore, Annmarie Hoch, Caitlin Syphurs, Tianyi Chu, Naresh Doni Jayavelu, David B Corry, Farrah Kheradmand, Lindsey R Baden, Rafick-Pierre Sekaly, Grace A Mccomsey, Elias K Haddad, Charles B Cairns, Nadine Rouphael, Ana Fernandez-Sesma, Viviana Simon, Jordan P Metcalf, Nelson I Agudelo Higuita, Catherine L Hough, William B Messer, Mark M Davis, Kari C Nadeau, Bali Pulendran, Monica Kraft, Chris Bime, Elaine F Reed, Joanna Schaenman, David J Erle, Carolyn S Calfee, Mark A Atkinson, Scott C Brakenridge, Esther Melamed, Albert C Shaw, David A Hafler, Alison D Augustine, Patrice M Becker, Al Ozonoff, Steven E Bosinger, Walter Eckalbar, Holden T Maecker, Seunghee Kim-Schulze, Hanno Steen, Florian Krammer, Kerstin Westendorf, Bjoern Peters, Slim Fourati, Matthew C Altman, Ofer Levy, Kinga K Smolen, Ruth R Montgomery, Joann Diray-Arce, Steven H Kleinstein, Leying Guan, Lauren Ir Ehrlich
A Multiomics Recovery Factor Predicts Long Covid In The Impacc Study, Gisela Gabernet, Jessica Maciuch, Jeremy P Gygi, John F Moore, Annmarie Hoch, Caitlin Syphurs, Tianyi Chu, Naresh Doni Jayavelu, David B Corry, Farrah Kheradmand, Lindsey R Baden, Rafick-Pierre Sekaly, Grace A Mccomsey, Elias K Haddad, Charles B Cairns, Nadine Rouphael, Ana Fernandez-Sesma, Viviana Simon, Jordan P Metcalf, Nelson I Agudelo Higuita, Catherine L Hough, William B Messer, Mark M Davis, Kari C Nadeau, Bali Pulendran, Monica Kraft, Chris Bime, Elaine F Reed, Joanna Schaenman, David J Erle, Carolyn S Calfee, Mark A Atkinson, Scott C Brakenridge, Esther Melamed, Albert C Shaw, David A Hafler, Alison D Augustine, Patrice M Becker, Al Ozonoff, Steven E Bosinger, Walter Eckalbar, Holden T Maecker, Seunghee Kim-Schulze, Hanno Steen, Florian Krammer, Kerstin Westendorf, Bjoern Peters, Slim Fourati, Matthew C Altman, Ofer Levy, Kinga K Smolen, Ruth R Montgomery, Joann Diray-Arce, Steven H Kleinstein, Leying Guan, Lauren Ir Ehrlich
Faculty, Staff and Students Publications
Background: Following SARS-CoV-2 infection, approximately 10%–35% of patients with COVID-19 experience long COVID (LC), in which debilitating symptoms persist for at least 3 months. Elucidating the biologic underpinnings of LC could identify therapeutic opportunities.
Methods: We utilized machine learning methods on biologic analytes provided over 12 months after hospital discharge from more than 500 patients with COVID-19 in the IMPACC cohort to identify a multiomics “recovery factor,” trained on patient-reported physical function survey scores. Immune profiling data included PBMC transcriptomics, serum O-link and plasma proteomics, plasma metabolomics, and blood mass cytometry by time of flight (CyTOF) protein levels. Recovery factor …
Electric-Field Tunable Magnetoexcitons In Xenes/Hbn/Tmdc, Xenes/Hbn/Bp, And Xenes/Hbn/Tmtc Heterostructures, Roman Ya. Kezerashvili, Anastasia Spiridonova, Klaus Ziegler
Electric-Field Tunable Magnetoexcitons In Xenes/Hbn/Tmdc, Xenes/Hbn/Bp, And Xenes/Hbn/Tmtc Heterostructures, Roman Ya. Kezerashvili, Anastasia Spiridonova, Klaus Ziegler
Publications and Research
In this work, we propose novel van der Waals heterostructures composed of Xenes, transition metal dichalcogenides (TMDCs), phosphor ene, and transition metal trichalcogenides (TMTCs), which are separated by insulating hexagonal boron nitride (hBN) layers. We theoreti cally investigate the behavior of Rydberg indirect excitons in Xenes/hBN/TMDC, Xenes/hBN/phosphorene and Xenes/hBN/TMTC heterostructures subjected to parallel external electric and magnetic fields that are oriented perpendicular to the layers. By incorporating both isotropic and anisotropic materials, we demonstrate that excitonic properties can be effectively tuned through the external field strengths and the heterostructure design. Our results show that the exciton reduced mass and the …
Therapeutic Radiation Drives Leptomeningeal Dissemination Of Medulloblastoma Through An Innate Immune Process, Carolina Nör, Kaitlin Kharas, Alex Rasnitsyn, Maria C Vladoiu, Nam Woo Cho, Jacob S Young, Felipe Nör, Ncedile Mankahla, Joonas Haapasalo, Kristiina Nordfors, Sara Rapic, Patryk Skowron, Raúl A Suárez, Alexander T Bahcheli, Oliver Ocsenas, Xin Chen, Shahrzad Bahrampour, Ali Momin, Lakshmikirupa Sundaresan, Winnie Ong, Liam D Hendrikse, Namal Abeysundara, Kyle Juraschka, Michelle Ly, Jonelle G Pallota, Tajana Douglas, Ning Huang, Hao Wang, Esta Mak, Lei Qin, Jessica Liu, Lily Shen, Betty Luu, Alex Manno, Sachin A Kumar, Laura K Donovan, Vernon Fong, Cory Richman, Craig Daniels, Livia Garzia, Jeremy N Rich, Cynthia Hawkins, Xiaochong Wu, Ralph Dacosta, Jüri Reimand, Xi Huang, Vijay Ramaswamy, David R Raleigh, Michael D Taylor
Therapeutic Radiation Drives Leptomeningeal Dissemination Of Medulloblastoma Through An Innate Immune Process, Carolina Nör, Kaitlin Kharas, Alex Rasnitsyn, Maria C Vladoiu, Nam Woo Cho, Jacob S Young, Felipe Nör, Ncedile Mankahla, Joonas Haapasalo, Kristiina Nordfors, Sara Rapic, Patryk Skowron, Raúl A Suárez, Alexander T Bahcheli, Oliver Ocsenas, Xin Chen, Shahrzad Bahrampour, Ali Momin, Lakshmikirupa Sundaresan, Winnie Ong, Liam D Hendrikse, Namal Abeysundara, Kyle Juraschka, Michelle Ly, Jonelle G Pallota, Tajana Douglas, Ning Huang, Hao Wang, Esta Mak, Lei Qin, Jessica Liu, Lily Shen, Betty Luu, Alex Manno, Sachin A Kumar, Laura K Donovan, Vernon Fong, Cory Richman, Craig Daniels, Livia Garzia, Jeremy N Rich, Cynthia Hawkins, Xiaochong Wu, Ralph Dacosta, Jüri Reimand, Xi Huang, Vijay Ramaswamy, David R Raleigh, Michael D Taylor
Faculty, Staff and Students Publications
Leptomeningeal metastases are the most important source of morbidity and mortality for medulloblastoma patients. Radiation of the entire brain is highly effective in the treatment and/or prevention of medulloblastoma leptomeningeal metastases. Infants treated on clinical trials with focal tumor radiation recur metastatically, whereas infants treated with only chemotherapy relapse locally. In murine medulloblastoma model systems, provision of a single dose of radiation to the tumor drives leptomeningeal dissemination. An inflammatory response after radiation-induced tumor cell death recruits a variety of immune cells. Inflammation opens the local blood-brain barrier, allowing intravasation of medulloblastoma cells. Experimental induction of inflammation with lipopolysaccharide drives …
Steep Decline In Diadema Antillarum Populations In Honduras’ Mesoamerican Barrier Reef (2014-2022) And Its Impact On Benthic Communities, Rebecca Cramp, Dan Exton, Max Dv Bodmer, Nathalie Lubbock, Miriam Reverter
Steep Decline In Diadema Antillarum Populations In Honduras’ Mesoamerican Barrier Reef (2014-2022) And Its Impact On Benthic Communities, Rebecca Cramp, Dan Exton, Max Dv Bodmer, Nathalie Lubbock, Miriam Reverter
School of Biological and Marine Sciences
Many Caribbean coral reefs shifted from coral to macroalgal-dominated communities following the die-off of the herbivorous urchin Diadema antillarum in the 1980s. Whilst most reefs remained algal-dominated, some have shown signs of coral recovery. This study compared benthic cover and D. antillarum populations (2014–2022) in two differently degraded reef systems in Honduras: Banco Capiro (Tela Bay) and Utila Island. In 2014, Banco Capiro had high coral cover (~ 59%) and D. antillarum densities (155 individuals/100 m 2), whereas Utila’s reefs had low coral cover (~ 17%) and low D. antillarum densities (2.5 individuals/100 m 2). By 2022, D. …
The Functional Efficiency Of Healing Gardens Elements And Its Impact On The Functional Aspect Of Hospitals, Menna Allah Hesham Mohammed, Heba Mohamed Abdou
The Functional Efficiency Of Healing Gardens Elements And Its Impact On The Functional Aspect Of Hospitals, Menna Allah Hesham Mohammed, Heba Mohamed Abdou
Mansoura Engineering Journal
Communication with nature has a positive effect on human health and well-being in different civilizations all time. But technological development caused the production of purely functional buildings that are far from communicating with nature, although some buildings contain gardens to achieve communication with nature, their elements are poor. Therefore, healing gardens are considered one of the main elements to raise the efficiency of the functional performance of the health building because they contain the resting places and healing departments. Therefore, this study focuses on determining the functional criteria for the elements of the garden that must be considered when designing …