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Full-Text Articles in Entire DC Network
Anash Inc V. Borough Of Kingston
Anash Inc V. Borough Of Kingston
2026 Decisions
USDC for the Middle District of Pennsylvania
The Impact Of Iterative Methods To Calculate Eigenvalues And Eigenvectors In Digital Computing, Adanna Onyenze
The Impact Of Iterative Methods To Calculate Eigenvalues And Eigenvectors In Digital Computing, Adanna Onyenze
Faculty publications
What is a matrix? This is a question that many novice math students may come into a linear algebra class, thinking. Well, one definition is that they are a set of multiple linear equations, all smooshed into a simpler, condensed format meant to help identify multiple variables at once, or where all these variables intersect. Simpler matrices like 2 × 2 or 3 × 3 can be calculated by hand; however, when we get into larger sizes, say 1000 × 1000, things can get much more complicated. That is why the development of technology, such as digital computing, for solving …
No. 113 An Order Amending Governor Haslam's Executive Order No. 50 Relative To The Tennessee Council On Developmental Disabilities, Bill Lee
Executive Orders
No abstract provided.
Loss Of Pleasure (Anhedonia): A Sex-Dependent, Cross-Species Consequence Of Unpredictable Signals To The Perinatal Brain, Anna M. Zhou, Madison R. Tetzlaff, Laura M. Glynn, Curt A. Sandman, Hal S. Stern, Tallie Z. Baram, Elysia Poggi Davis
Loss Of Pleasure (Anhedonia): A Sex-Dependent, Cross-Species Consequence Of Unpredictable Signals To The Perinatal Brain, Anna M. Zhou, Madison R. Tetzlaff, Laura M. Glynn, Curt A. Sandman, Hal S. Stern, Tallie Z. Baram, Elysia Poggi Davis
Psychology Faculty Articles and Research
Reward seeking is an essential component of human behavior. Anhedonia (reduced motivation for and pleasure in reward) is a core feature of several mental illnesses. Early life adversity associates with later impairments in reward behaviors and related psychopathology; however, specific aspects of early adversity that lead to disrupted reward behaviors are unknown. Capitalizing on evidence that unpredictable signals to the developing brain constitute adversity and influence neurodevelopment, we examined whether exposure to perinatal unpredictable maternal signals associated with diminished reward responsivity, and probed causality using experiments in mice. We analyzed a longitudinal human study (N=158 mother/child dyads) and a …
Usa V. Joseph Stratton-Kielmeier
Usa V. Joseph Stratton-Kielmeier
2026 Decisions
USDC for the Western District of Pennsylvania
2026 July 30 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University
2026 July 30 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University
Tennessee Climate Office Weekly Drought Summaries
No abstract provided.
Simulation Of Magnesium Defects Under Concurrent Stress And Vibration Using Interatomic Potentials, Chimereze Emenike, Christopher Barrett
Simulation Of Magnesium Defects Under Concurrent Stress And Vibration Using Interatomic Potentials, Chimereze Emenike, Christopher Barrett
Research Experiences for Undergraduates in Computational Methods with Applications in Materials Science
Magnesium is the lightest structural metal, and its strength-to-weight and stiffness-to-weight ratios give it great potential for weight reduction in various industries. However, it is brittle at room temperature due to its crystal structure, making it unfit for the manufacture of parts requiring stamping or rolling. Our research is concerned with the movement of defects critical to the ductility of magnesium under different conditions. In this project, we investigated the movement of a Pyramidal Il edge dislocation in magnesium structures undergoing shear and oscillatory stress. We hypothesize that oscillating stress could help the dislocation move more quickly. This would suggest …
Toward An Efficient Simulation Tool For Predicting Residual Stress In Metal Additively Manufactured Parts, Luther W. Busching, Eric M. Collins, Jacob L. Moore
Toward An Efficient Simulation Tool For Predicting Residual Stress In Metal Additively Manufactured Parts, Luther W. Busching, Eric M. Collins, Jacob L. Moore
Research Experiences for Undergraduates in Computational Methods with Applications in Materials Science
Metal additive manufacturing has experienced rapid growth across a variety of industries due to its ability to fabricate parts with complex, customizable geometries in a fraction of the time and material required by conventional processes. However, because metal is selectively melted and resolidified in a layer-wise deposition process, the cyclical heating and cooling induces expansion and contraction that can accumulate as residual stress within the part's microstructure. This buildup of residual stress can lead to print failures or degraded part performance, yet the mechanisms governing residual stress formation during printing remain poorly understood. Existing simulation techniques for predicting residual stress …
Developing A Fitted Cutoff Function For Mtp, Michael Wlochal, Doyl Dickel
Developing A Fitted Cutoff Function For Mtp, Michael Wlochal, Doyl Dickel
Research Experiences for Undergraduates in Computational Methods with Applications in Materials Science
Machine learning interatomic potentials (MLIPs) bridge the gap between high-accuracy quantum mechanics and high-speed classical force fields, enabling quantum-accurate, large-scale molecular dynamics. Cutoff functions, which smoothly truncate atomic interactions beyond a specific radial neighborhood are crucial due to their local scaling and computational efficiency. However, geometric constraints and boundary discontinuities—particularly at the short- range inner cutoff can cause severe force spikes and simulation instabilities. This work investigates Moment Tensor Potentials (MTP) with different cutoff functions using a diverse benchmark suite encompassing three distinct structural phases: bec metals (Li, Mo), fcc metals (Cu, Ni), and diamond-structure semiconductors (Si, Ge) to span …
Modeling Mrna Delivery And Release By The Charge-Shifting Polymer Pdmaema, Heather L. Weston, Loan Nguyen, Steven Gwaltney
Modeling Mrna Delivery And Release By The Charge-Shifting Polymer Pdmaema, Heather L. Weston, Loan Nguyen, Steven Gwaltney
Research Experiences for Undergraduates in Computational Methods with Applications in Materials Science
Poly(2- (dimethylamino) ethyl) methacrylate (pDMAEMA) is a charge-shifting polymer that can be attached to genetic material like mRNA and that aids delivery into cells. pDMAEMA has been studied in vitro to determine its intercellular interactions, but the intracellular mechanisms are not well understood. However, using computational chemistry methods like molecular dynamics (MD) simulations, we observed intracellular mechanics at an atomic level to understand the delivery and release of mRNA into a cell with pDMAEMA polymers. This was accomplished by completing individual MD simulations of pDMAEMA and mRNA. Initial simulations were completed of pDMAEMA decamers. Following that, the mRNA sequence that …
Computational Design And Synthesis Of Lanthanide Pincer Complexes For Blue-Light Emission, Eric W. Jones, Samuel D. Juarez Escamilla, Garrett Wells, Charles Edwin Webster, Thedford K. Hollis
Computational Design And Synthesis Of Lanthanide Pincer Complexes For Blue-Light Emission, Eric W. Jones, Samuel D. Juarez Escamilla, Garrett Wells, Charles Edwin Webster, Thedford K. Hollis
Research Experiences for Undergraduates in Computational Methods with Applications in Materials Science
Blue OLED emitters are often called the "holy grail" of display technology because they are used to make attractive vibrant colors for lighting and devices. However, they are often unstable and susceptible to faster burnout over time when compared to compounds that produce other colors. Red, blue, and green emitters are important and necessary in a device for white light. Thus, an objective in research is producing a stable blue emitter with an extended lifetime and higher quantum yield, Lanthanides, which are metals from the f-block of the periodic table, are used for their photoelectronic properties. These properties can be …
Two Dimensional Crossover Of Cuprate Ladders, Jane Kate Williams, Rudolf T. Clay
Two Dimensional Crossover Of Cuprate Ladders, Jane Kate Williams, Rudolf T. Clay
Research Experiences for Undergraduates in Computational Methods with Applications in Materials Science
The cuprate Sr14-x Cax Cu24 041 is the only known ladder cuprate superconductor, exhibiting a maximum superconducting transition temperature of approximately Tc=9 K under an applied pressure of 4.5 GPa. Prior to the onset of superconductivity, the material exhibits increasingly two-dimensional electronic behavior as inter-ladder coupling strengthens. Negative charge-transfer energies, are predicted to further enhance inter-ladder coupling, motivating the study of larger coupled-ladder systems. This work employs the Constrained Path Quantum Monte Carlo (CPQMC) algorithm to extend previous studies from two coupled ladders to larger ladder geometries. Simulations were performed for 2x8 ladders (32 …
Continuous Data Assimilation For Geophysical Flow, Amanda E. Diegel, Sehani Edirisinghe, Mary Chase Pittman
Continuous Data Assimilation For Geophysical Flow, Amanda E. Diegel, Sehani Edirisinghe, Mary Chase Pittman
Research Experiences for Undergraduates in Computational Methods with Applications in Materials Science
We consider continuous data assimilation, a numerical method which incorporates known data, to model geophysical flow. Geophysical flow simulations are important to weather and ocean modeling, the study of climate change, modeling pollutant transport in the ocean, and many other areas. We study the barotropic vorticity model, which tracks fluid vorticity and the streamfunction, using the finite element method with continuous data assimilation. Utilizing MATLAB with the finite element C++/MATLAB toolbox FELICITY, we seek to answer whether incorporating known vorticity data, but not streamfunction data, into the numerical simulation in real time with lead to long-term accurate approximate solutions even …
Refining And Scaling Particle-Based Soil Models, Gillian Londa, Bohumir Jelinek
Refining And Scaling Particle-Based Soil Models, Gillian Londa, Bohumir Jelinek
Research Experiences for Undergraduates in Computational Methods with Applications in Materials Science
Wheel-soil interaction simulations are critical for evaluating the performance of off-road vehicles, construction equipment, and planetary exploration systems. The Discrete Element Method (DEM) provides a physics-based approach for modeling these interactions but requires significant computational resources, making efficient use of high-performance computing (HPC) systems essential. This project evaluates the parallel performance of the open- source YADE DEM Wheel-Soil Simulator, a simulation framework developed at Mississippi State University and based on the DEM soil model of Nakanishi et al. (2020). A benchmark simulation representing a fixed 6.3% wheel-slip condition was selected to provide a consistent basis for performance evaluation. Existing benchmark …
Dimensional Crossover And Suppression Of The Spin-Peierls State, Medha A. Fotedar, Rudolf T. Clay
Dimensional Crossover And Suppression Of The Spin-Peierls State, Medha A. Fotedar, Rudolf T. Clay
Research Experiences for Undergraduates in Computational Methods with Applications in Materials Science
The Spin-Peierls (SP) transition is a classic phenomenon in low-dimensional quantum mechanics, wherein strong magnetoelastic coupling drives a structural lattice distortion, opening a spin gap and establishing a dimerized ground state. The SP transition is well understood in quasi-one-dimensional (quasi-1D) materials. In the organic charge- transfer tetramethyltetrathiafulvalene (TMTTF)2X salts, pressure suppresses the SP transition, giving way to antiferromagnetism and then superconductivity. Pressure is expected to increase the two-dimensional character of the material but also to introduce geometric frustration and competing magnetic fluctuations. Our central question is whether these higher-dimensional effects suppress or destroy the SP state in favor …
Modeling Rna Delivery And Release By The Charge-Shifting Polymer Te-Pdmaema, Jeseny L. Lewis, Loan Nguyen, Steven Gwaltney
Modeling Rna Delivery And Release By The Charge-Shifting Polymer Te-Pdmaema, Jeseny L. Lewis, Loan Nguyen, Steven Gwaltney
Research Experiences for Undergraduates in Computational Methods with Applications in Materials Science
Charge-shifting polymers are highly effective at binding nucleic acids during transport and releasing them once inside target cells. This project investigates the chemical behavior of te-pDMAEMA, (poly[2-(dimethylamino) ethyl thiomethacrylate), and the interactions between an RNA molecule and te-pDMAEMA within a water and NaCl solution that aims to mimic the cellular environment. H2B-mcherry is an RNA sequence that codes for the mCherry fluorescent protein. Molecular dynamics simulations are the methods used to analyze and visualize the physical movements of these molecules over time through Newton's laws of motion. These tools were used for polymer building, optimizing conformers, calculating equilibrium geometries, and …
Computational Investigations In Cyclohexanol Conversion In Zeolites, Esther Edwards, John Michael Lane, James Caldwell, Neeraj Rai
Computational Investigations In Cyclohexanol Conversion In Zeolites, Esther Edwards, John Michael Lane, James Caldwell, Neeraj Rai
Research Experiences for Undergraduates in Computational Methods with Applications in Materials Science
The acid-catalyzed conversion of cyclohexanol to cyclohexene is a vital chemical process across the pharmaceutical, polymer, and petrochemical industries. Zeolites are porous catalysts known for their shape and size selectivity, which makes them especially useful for this reaction by preventing the formation of bulkier, undesirable side products. In this work, we computationally explore the reaction mechanism by which cyclohexanol dehydrates at Bronsted acid sites within the zeolite frameworks MFI and FAU. To overcome the high computational cost of Ab Initio Molecular Dynamics (AIMD) while capturing long-timescale dynamics, we trained a Machine Learning Interatomic Potential (MUP) using data sampled from short …
A Tiger's Journey Home, July 30, 2026, Tisa Mason Ed.D.
A Tiger's Journey Home, July 30, 2026, Tisa Mason Ed.D.
Heart of a Tiger Columns
No abstract provided.
Move Fast And Break Everything: Crypto And Party Competition In The United States, Thomas Ferguson, Jie Chen, Matthiaa Lalisse, Paul D. Jorgensen
Move Fast And Break Everything: Crypto And Party Competition In The United States, Thomas Ferguson, Jie Chen, Matthiaa Lalisse, Paul D. Jorgensen
School of Interdisciplinary Programs & Community Engagement Faculty Publications
In November, 2022, the giant cryptocurrency exchange FTX filed for bankruptcy. The financial fallout from that event, including two bank failures, made crypto politically radioactive. Yet less than three years later, crypto, like Donald Trump himself, staged a triumphant Second Coming, as the President signed into law the so-called “GENIUS Act” – short for Guiding and Establishing National Innovation for U.S. Stablecoins. Analysts have traced the industry’s phoenix-like resurrection, showing how key crypto billionaires and companies aligned with Trump early in the 2024 campaign, transforming him from a skeptic into a political champion. But the flip side of the story …
A Blind Comparative Study On Isothermal Sloshing In A Circular Tank (Ccp-Wsi Blind Test Series 5), S. A. Brown, S. W. Colville, V. Francis, T. Zhao, Y. C. Lee, D. Cao, H. Chen, J. Chen, S. Chen, J. Davidson, J. Gong, H. Gu, A. Khayyer, D. H. Kim, W. Liu, M. Luo, R. Lyu, Q. Ma, H. Ma, O. Mahfoze, I. Pregnan Johannesen, Y. Qin, S. Shrestha, G. Tabor, R. Tan, E. Wahbah Makhoul, D. Wang, Y. Wang, H. Wei, S. Yan
A Blind Comparative Study On Isothermal Sloshing In A Circular Tank (Ccp-Wsi Blind Test Series 5), S. A. Brown, S. W. Colville, V. Francis, T. Zhao, Y. C. Lee, D. Cao, H. Chen, J. Chen, S. Chen, J. Davidson, J. Gong, H. Gu, A. Khayyer, D. H. Kim, W. Liu, M. Luo, R. Lyu, Q. Ma, H. Ma, O. Mahfoze, I. Pregnan Johannesen, Y. Qin, S. Shrestha, G. Tabor, R. Tan, E. Wahbah Makhoul, D. Wang, Y. Wang, H. Wei, S. Yan
School of Engineering, Computing and Mathematics
Numerical modelling is important in many fluid dynamics applications, yet robust benchmarking is required to quantify uncertainty. This study presents results from a blind comparative benchmark of isothermal sloshing in a circular tank. Sloshing is relevant to many engineering applications, including offshore shipping, where vessel motions can excite internal fluid motion, generating impact loads and affecting stability. A series of horizontal and vertical excitation cases of increasing complexity are considered. Participant solutions for free surface displacements are compared against physical model data that was withheld until after submission. Across all cases, the numerical models generally capture the dominant frequency. Typical …
How Localized Physical Processes Influence Large-Scale Phytoplankton Blooms Near The Sea Ice Edge In The Greenland Sea, Abigail P. Heiser, Till J.W. Wagner, Manfredi Manizza, Dustin Carroll, Conner W. Lester, Dimitris Menemenlis
How Localized Physical Processes Influence Large-Scale Phytoplankton Blooms Near The Sea Ice Edge In The Greenland Sea, Abigail P. Heiser, Till J.W. Wagner, Manfredi Manizza, Dustin Carroll, Conner W. Lester, Dimitris Menemenlis
Faculty Research, Scholarly, and Creative Activity
The Arctic Ocean has experienced intensifying phytoplankton spring blooms near the sea ice edge. Here, we investigate the drivers of such near-ice blooms in the Greenland Sea by comparing satellite and in situ observations with the ECCO-Darwin physical–biogeochemical state estimate. Satellite data reveal pronounced spring blooms within ~ 200 km of the ice, a signal that is not reproduced in ECCO-Darwin. Observations further reveal that primary production is tightly linked to submesoscale meltwater eddies shed from the ice edge, which are not currently resolved by ECCO-Darwin. We argue that the relatively coarse spatial resolution, together with biases in sea ice …
More Than Materials: Understanding The Emotional Labor Of Archivists And Donor Relations, April K. Anderson-Zorn
More Than Materials: Understanding The Emotional Labor Of Archivists And Donor Relations, April K. Anderson-Zorn
Faculty and Staff Publications – Milner Library
Though a crucial part of archives work, emotional labor and its effect on the profession are not well understood. From professional transitions, the loss of a residence, a health crisis, or the loss of a loved one, archivists who have limited experience in working with donors enduring a life crisis can themselves experience emotional trauma. Current archival literature on donor relations primarily focuses on the processes and procedures involved in working with donors to transfer materials. However, there is a notable lack of scholarship on the emotional labor involved in the donation process. The poster will focus on emerging literature …
Cornish Fair Exhibit Hall Ticket 2026, Lynn Brewer
Cornish Fair Exhibit Hall Ticket 2026, Lynn Brewer
UNH Cooperative Extension
No abstract provided.
Impact Of Schizophrenia On Coronary Artery Bypass Grafting Outcomes: A Nationwide Analysis, Chinenye Cynthia Odo, Adeleke Oluwaseun Dorcas, Andrew Greek, Enyioma Nwogwugwu, Chukwuebuka Asogwa, Emmanuel Daniel, Oluwamisimi Abib, Oluwaremilekun Zeth Tolu-Akinnawo, Chinelo Eneh, Toluwalase Awoyemi
Impact Of Schizophrenia On Coronary Artery Bypass Grafting Outcomes: A Nationwide Analysis, Chinenye Cynthia Odo, Adeleke Oluwaseun Dorcas, Andrew Greek, Enyioma Nwogwugwu, Chukwuebuka Asogwa, Emmanuel Daniel, Oluwamisimi Abib, Oluwaremilekun Zeth Tolu-Akinnawo, Chinelo Eneh, Toluwalase Awoyemi
Student Publications
Background: Schizophrenia is associated with an elevated cardiovascular disease burden and mortality. However, outcomes for patients with schizophrenia undergoing coronary artery bypass grafting (CABG) remain poorly characterized. We investigated perioperative outcomes, resource utilization, and discharge disposition in this vulnerable population.
Methods: Using the National Inpatient Sample (2017-2020), we identified 773 925 adult CABG admissions, including 2250 patients with schizophrenia and 771 675 without. The primary outcome was in-hospital mortality. Secondary outcomes included length of stay, hospital charges, post-operative complications, and discharge disposition. Multivariable logistic and linear regression models were adjusted for demographics, comorbidities, and hospital characteristics.
Results: Patients with schizophrenia …
Acute Encephalopathy And Cardiac Tamponade As Initial Presentations Of High-Grade B-Cell Lymphoma, Aisha Krieger-Hussain, Zaineb Ahmad, Lejla Hodzic, Besher Kabak
Acute Encephalopathy And Cardiac Tamponade As Initial Presentations Of High-Grade B-Cell Lymphoma, Aisha Krieger-Hussain, Zaineb Ahmad, Lejla Hodzic, Besher Kabak
Student Publications
Cardiac tamponade is a life-threatening emergency caused by the accumulation of pericardial fluid, resulting in impaired cardiac filling. Although malignancy is a recognized cause of pericardial effusion, cardiac tamponade is a rare initial presentation of high-grade B-cell lymphoma (HGBCL) and may pose a diagnostic challenge because of its nonspecific clinical manifestations.
A 67-year-old man with a history of hypertension, hyperlipidemia, and schizophrenia presented from a group home with acute altered mental status and dyspnea. Initial computed tomography of the head was negative for acute cerebrovascular pathology but incidentally demonstrated a large pericardial effusion and bilateral pleural effusions. Laboratory evaluation revealed …
Generosity After Negative Random Shocks, Hernán Bejarano, Joris Gillet, Ismael Rodriguez-Lara
Generosity After Negative Random Shocks, Hernán Bejarano, Joris Gillet, Ismael Rodriguez-Lara
ESI Working Papers
We report the results of three preregistered experiments examining the effects of negative random endowment shocks on generosity. Using a dictator game, we show that generosity is greater towards those who experience a negative random shock, and this effect is larger than the effect inequality has on giving. Our data provide evidence that people do not expect this additional level of generosity after a shock and that injunctive norms cannot explain it either. Taken together, our findings suggest that the (high) level of generosity observed after negative random shocks is unexpected and exceeds what people consider to be socially appropriate. …
Macedonia Senior Residence V. Dejarnette
Macedonia Senior Residence V. Dejarnette
All Decisions
Court dismissed licensee holdover petition because the predicate notice claimed the apartment is subject to project-based Section 8 HUD regulations while the petition stated it is rent stabilized. Court found these inconsistencies substantial and prejudicial, depriving respondent of the ability to effectively contest the eviction, particularly in light of respondent's succession claim.
A Perfect Storm In Advanced Aids: Severe Acute Respiratory Distress Syndrome From Pneumocystis Jirovecii And Mycobacterium Avium Complex Coinfection, Abdel Martinez, Abelardo Rodriguez, Conrad Chouinard, Fatimah Bello
A Perfect Storm In Advanced Aids: Severe Acute Respiratory Distress Syndrome From Pneumocystis Jirovecii And Mycobacterium Avium Complex Coinfection, Abdel Martinez, Abelardo Rodriguez, Conrad Chouinard, Fatimah Bello
School of Medicine Publications
Advanced HIV infection is associated with profound immunosuppression, predisposing patients to opportunistic infections such as Pneumocystis jirovecii pneumonia (PJP) and Mycobacterium avium complex (MAC). PJP can cause severe respiratory disease, including acute respiratory distress syndrome (ARDS), while disseminated MAC may contribute to systemic illness and pulmonary complications. Concurrent infection with both pathogens is uncommon but may precipitate severe pulmonary failure. A man in his 40s presented with unintentional weight loss, fatigue, oral thrush, and progressive dyspnea. On arrival, oxygen saturation was 86% on room air, requiring high-flow nasal cannula. Laboratory evaluation revealed profound immunosuppression (CD4 7 cells/mm3, HIV RNA 123,000 …
Automated Multimodal Synthesis And Native Ecosystem Handoff Of Artificial Intelligence Generated Knowledge Media To Shared Ambient Displays, Richa Gupta
Defensive Publications Series
The disclosed technology introduces a GenAI knowledge bridge that seamlessly translates customized Gen AI workspace outputs into a native, multimodal television experience for consumption by a user and other viewers. The GenAI knowledge bridge establishes a secure, authenticated, customized synthesized knowledge row for inclusion in a user interface of a homepage of a television application running on a computing device (e.g., a smart television). The GenAI knowledge bridge populates the customized synthesized knowledge row by way of a direct application programming interface (API) sync with a private GenAI workspace of the user. A visualizer engine running on the computing device …
Dynamic Media Device Power Management Using Proximity Inferred From Wireless Signals, Nikita Agarwal
Dynamic Media Device Power Management Using Proximity Inferred From Wireless Signals, Nikita Agarwal
Defensive Publications Series
Power management for media devices can be inefficient when a user is listening to audio content but is not actively viewing the display, potentially leading to increased energy consumption. Systems and methods can manage display power by inferring user proximity. The technology can utilize wireless signal characteristics, such as a received signal strength indicator from a user's personal peripheral device (e.g., a smartwatch, smartphone, or earbuds), to establish virtual zones around a media playback device. When the system infers that a user has moved from a viewing zone to a listening zone, it can automatically deactivate the display panel while …