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Academic Senate - Agenda, 2/11/2025, Academic Senate

Academic Senate Agendas

No abstract provided.

Increasing Covid-19 Testing And Vaccination Uptake In The Take Care Texas Community-Based Randomized Trial: Adaptive Geospatial Analysis, Kehe Zhang, Jocelyn V Hunyadi, Marcia C De Oliveira Otto, Miryoung Lee, Zitong Zhang, Ryan Ramphul, Jose-Miguel Yamal, Ashraf Yaseen, Alanna C Morrison, Shreela Sharma, Mohammad Hossein Rahbar, Xu Zhang, Stephen Linder, Dritana Marko, Rachel White Roy, Deborah Banerjee, Esmeralda Guajardo, Michelle Crum, Belinda Reininger, Maria E Fernandez, Cici Bauer

Faculty, Staff and Student Publications

BACKGROUND: Geospatial data science can be a powerful tool to aid the design, reach, efficiency, and impact of community-based intervention trials. The project titled Take Care Texas aims to develop and test an adaptive, multilevel, community-based intervention to increase COVID-19 testing and vaccination uptake among vulnerable populations in 3 Texas regions: Harris County, Cameron County, and Northeast Texas.

OBJECTIVE: We aimed to develop a novel procedure for adaptive selections of census block groups (CBGs) to include in the community-based randomized trial for the Take Care Texas project.

METHODS: CBG selection was conducted across 3 Texas regions over a 17-month period …

Hierarchical Search Method For Gravitational Waves From Stellar-Mass Binary Black Holes In Noisy Space-Based Detector Data, Yao Fu, Yan Wang, Soumya D. Mohanty

Physics & Astronomy Faculty Publications

Future space-based laser interferometric detectors, such as the Laser Interferometer Space Antenna (LISA), will be able to detect gravitational waves (GWs) generated during the inspiral phase of stellar-mass binary black holes (SmBBHs). These detections contain a wealth of important information concerning astrophysical formation channels and fundamental physics constraints. However, the detection and characterization of GWs from SmBBHs poses a formidable data analysis challenge, arising from the large number of wave cycles that make the search extremely sensitive to mismatches in signal and template parameters in a likelihood-based approach. This makes the search for the maximum of the likelihood function over …

Mutational Scanning And Binding Free Energy Computations Of The Sars-Cov-2 Spike Complexes With Distinct Groups Of Neutralizing Antibodies: Energetic Drivers Of Convergent Evolution Of Binding Affinity And Immune Escape Hotspots, Mohammed Alshahrani, Vedant Parikh, Brandon Foley, Nishank Raisinghani, Gennady M. Verkhivker

Mathematics, Physics, and Computer Science Faculty Articles and Research

The rapid evolution of SARS-CoV-2 has led to the emergence of variants with increased immune evasion capabilities, posing significant challenges to antibody-based therapeutics and vaccines. In this study, we conducted a comprehensive structural and energetic analysis of SARS-CoV-2 spike receptor-binding domain (RBD) complexes with neutralizing antibodies from four distinct groups (A–D), including group A LY-CoV016, group B AZD8895 and REGN10933, group C LY-CoV555, and group D antibodies AZD1061, REGN10987, and LY-CoV1404. Using coarse-grained simplified simulation models, rapid energy-based mutational scanning, and rigorous MM-GBSA binding free energy calculations, we elucidated the molecular mechanisms of antibody binding and escape mechanisms, identified key …

The Evolution And Future Of Microservices Architecture With Ai-Driven Enhancements, Jill Willard, James Hutson

Faculty Scholarship

Microservices architecture has revolutionized software development by enabling the decomposition of monolithic applications into smaller, more manageable services. While this shift has reduced risks and enhanced system resiliency, the increasing complexity of managing numerous microservices presents new challenges. As Artificial Intelligence (AI) continues to evolve, there is a growing need to explore how autonomous AI agents can optimize microservices architectures, particularly in terms of communication and workflow orchestration. The purpose of this study is to investigate how AI agents can autonomously interact and manage microservices, reducing human intervention and enhancing system efficiency. The key research question guiding this investigation relates …

Updated Sc 4-H Presents Packet, Extension

UNH Cooperative Extension

No abstract provided.

Safe Passage To Social And Academic Support: First Year Stem Identity And Belonging Interventions For Under-Resourced Students, Benjamin Haywood, John Kaup, John Wheeler

Open Access Fund Publications

Institutions of higher education continue to grapple with the challenges associated with increasing access to STEM learning and STEM majors for resource-limited students. Longstanding differences among well and under-resourced student groups with respect to STEM course enrollment, STEM major retention and persistence, and research opportunities persist despite decades of research on interventions. This article reports on outcomes of a cohort-based, multi-pronged S-STEM scholarship program at a small liberal arts institution for Pell-eligible first-year students that focuses on reducing college transition anxiety; building peer and mentor networks in STEM; providing gateway science course cohort learning; and layering multiple levels of advising …

Re: Silver Bow Creek Butte Area Npl Site 4th Quarter 2024 Butte Priority Soils Operable Unit Interim Site-Wide Surface Water Monitoring Data Report. Consent Decree- Civil Action No. Cv 89- 039-Bu-She, Josh Bryson

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Restore The Shore: A Guide To Lakeshore Revegetation In The Great Basin, Jes V. Braun, Rae Robinson, Annie L. Henry, Karin M. Kettenring

All Current Publications

Lakeshore vegetation supports many valuable aspects of lake ecosystems: foraging areas for birds, rearing grounds for fish, nutrient cycling, carbon storage, and aesthetic, cultural, and spiritual values. Yet, the vegetation of many lakeshores has been lost or heavily impacted by humans. What can be done to restore lakeshore vegetation to ensure that lakes remain healthy for future generations? In this guide, we summarize best practices for lakeshore revegetation (i.e., the process of actively reintroducing vegetation, usually native species, to a restoration site through seeding and planting) in the Great Basin.

Joan Robinson Et Al. 1, Anwar Shaikh Phd

Archives of Anwar Shaikh

This collection includes:

• Letter from Joan Robinson discussing Shaikh’s paper on trade and Ricardo’s theory of profits

• Letter from Robinson discussing publication possibilities and agreeing with Shaikh’s “humbug” thesis (July 5, 1972)

• Letter to Robinson discussing the paper’s submission to The Review of Economics and Statistics and Franklin Fisher’s letter (October 13, 1972)

• Letter from Robinson discussing Fisher’s misplaced faith and micro system (October 25, 1972)

• Letter from Robinson discussing Shaikh’s article on the transformation problem and recommending submission to The Economic Journal where she had influence (May 23, 1973)

• Letter from …

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Joan Robinson Et Al. 2, Anwar Shaikh Phd

Archives of Anwar Shaikh

This collection includes:

• Letter to Bertram Schefold discussing travel expenses and an honorarium

• Postcard from Ei Nagakudo(?) thanking Shaikh for his political economy classes and recommending an internship at the UN (3/18/98)

• Card from Mara Kaufman thanking Shaikh for allowing her to sit in on one of his political economy courses

• Flyer for the New School featuring Shaikh

• Watercolor painting

• Letter from Diana

• Receipt for a $10 submission fee for the paper The So-Called ‘Transformation Problem’: Marx Vindicated

• Flyer for Karl Marx’s birthday with lyrics for The International

• Flier advertising a Karl Marx pub crawl (5/1/99)

• Excerpt from Karl Liebknecht’s …

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Characterization Of 1,8-Cineole (Eucalyptol) From Myrtle And Its Potential Antibacterial And Antioxidant Activities*, Humera Khan

Karbala International Journal of Modern Science

1,8-Cineole is a naturally occurring chemical molecule predominantly found in fragrant plants, particularly Myrtle. Its aroma is distinctive and has been the subject of numerous investigations due to its various biological actions. This study examines the characterization of 1,8-Cineole derived from Myrtle and investigates its antibacterial and antioxidant properties. This study seeks to compare 1,8-Cineole with antibiotics like Amoxicillin and Tetracycline, and moreover, to investigate its antioxidant capabilities against diverse bacterial strains (both Gram-positive and Gram-negative). 1,8-Cineole exhibits the most effective antibacterial properties, demonstrating an inhibition zone of 12.00 mm against Staphylococcus aureus and 10.00 mm against Pseudomonas aeruginosa. …

Utilizing Machine Learning And Deep Learning For Precise Intensity-Duration- Frequency (Idf) Curve Predictions, Sheeraz M. Ameen, Shuokr Qarani Aziz, Anwer Hazim Dawood, Azhin Tahir Sabir, Dara Muhammad Hawez

Polytechnic Journal

Intensity-Duration-Frequency (IDF) curves are crucial for the design and management of engineering infrastructure, including storm sewers, retention ponds, dams, and flood mitigation systems. This study adopts a comparative approach to estimate IDF curves using a combination of traditional statistical methods, machine learning techniques, and advanced deep learning models. Rainfall data from Koya City, Iraq (2005–2022), was used, with the 2005–2015 period for training and 2016–2022 for validation. The models evaluated include the Gumbel Distribution, Linear Regression, Support Vector Regression (SVR), and Recurrent Neural Networks (RNN) with Long Short-Term Memory (LSTM), assessed based on three metrics: Root Mean Square Error (RMSE), …

Curricular Changes Proposed For 2025-2027 Morris Catalog, Curriculum Committee

Curriculum Committee Reports

No abstract provided.

A Review Of Optical Flow Velocimetry In Fluid Mechanics, Gauresh Raj Jassal, Bryan E. Schmidt

Faculty Scholarship

Optical flow methods have been developed over the past two decades for application to particle image velocimetry (PIV) images with the goal of acquiring higher resolution measurements of the velocity field than conventional cross-correlation (CC)-based techniques. Numerous optical flow velocimetry (OFV) algorithms have been devised to solve the ill-posed optical flow problem, with various physics-inspired strategies to tailor them to fluid flows. While OFV can be applied to continuous scalar fields, it has demonstrated the most success on images of tracer particles, i.e. traditional planar PIV images. Compared to state-of-the-art CC algorithms, OFV methods have demonstrated an order of magnitude …

A Machine Learning Model To Predict Wildfire Burn Severity For Pre-Fire Risk Assessments, Utah, Usa, Kipling B. Klimas, Larissa L. Yocom, Brendan P. Murphy, Scott R. David, Patrick Belmont, James A. Lutz, R. Justin Derose, Sara A. Wall

Wildland Resources Student Research

Background

High-severity burned areas can have lasting impacts on vegetation regeneration, carbon dynamics, hydrology, and erosion. While landscape models can predict erosion from burned areas using the differenced normalized burn ratio (dNBR), post-fire erosion modeling has predominantly focused on areas that have recently burned. Here, we developed and validated a predictive burn severity model that produces continuous dNBR predictions for recently unburned forest land in Utah.

Results

Vegetation productivity, elevation, and canopy fuels were the most important predictor variables in the model, highlighting the strong control of fuels and vegetation on burn severity in Utah. Final model out-of-bag R^{2 …}

Study Of Long-Term Spectral Evolution And X-Ray And Γ-Ray Correlation Of Blazars Seen By Hawc, R. Alfaro, C. Alvarez, A. Andrés, J. C. Arteaga-Velázquez, D. Avila Rojas, H. A.Ayala Solares, R. Babu, E. Belmont-Moreno, A. Bernal, K. S. Caballero-Mora, T. Capistrán, A. Carramiñana, F. Carreón, S. Casanova, U. Cotti, J. Cotzomi, S. Coutiño De León, E. De La Fuente, D. Depaoli, N. Di Lalla, R. Diaz Hernandez, B. L. Dingus, M. A. Duvernois, M. Durocher, J. C. Diaz-Velez, K. Engel, C. Espinoza, K. L. Fan, N. Fraija, S. Fraija, J. A. Garcia-Gonzalez, F. Garfias, A. Gonzalez Munoz, M. M. Gonzalez, J. A. Goodman, S. Groetsch, J. P. Harding, S. Hernandez-Cadena, I. Herzog, D. Huang, F. Hueyotl-Zahuantitla, A. Iriarte, V. Joshi, S. Kaufman, D. Kieda, A. Lara, W. H. Lee, J. Lee, H. Leon Vargas, J. T. Linnemann, A. L. Longinotti, G. Luis-Raya, K. Malone, O. Martinez, I. Martinez-Castellanos, J. Martinez-Castro, J. A. Matthews, P. Miranda-Romagnoli, J. A. Montes, E. Moreno, M. Mostafa, A. Nayerhoda, L. Nellen, M. U. Nisa, R. Noriega-Papaqui, N. Omodei, M. Osorio, Y. Perez Araujo, E. G. Perez-Perez, C. D. Rho, D. Rosa-Gonzalez, E. Ruiz-Velasco, H. Salazar, D. Salazar-Gallegos, A. Sandoval, M. Schneider, M. Serna-Franco, A. J. Smith, Y. Son, R. W. Springer, O. Tibolla, K. Tollefson, I. Torres, R. Torres-Escobedo, R. Turner, F. Urena-Mena, E. Varela, L. Villasenor, Xiaojie Wang, I. J. Watson, K. Whitaker, E. Willox, S. Yun-Carcamo, H. Zhou

Physics Faculty Research & Creative Works

The HAWC Observatory collected 6 yr of extensive data, providing an ideal platform for long-term monitoring of blazars in the very high energy (VHE) band, without bias toward specific flux states. HAWC continuously monitors blazar activity at TeV energies, focusing on sources with a redshift of z ≤ 0.3, based on the Third Fermi-LAT Catalog of High-Energy sources. We specifically focused our analysis on Mrk 421 and Mrk 501, as they are the brightest blazars observed by the HAWC Observatory. With a data set of 2143 days, this work significantly extends the monitoring previously published, which was based on 511 …

University Of New Hampshire 2024-2025 Faculty Senate Xxix - February 10, 2025 Minutes Summary, Faculty Senate

Faculty Senate Agendas & Minutes

No abstract provided.

Identification Of Key Nodes And Analysis Of Damage Resistance Of Power Grids Based On Improved K‑Shell And Power Flow Entropy, Jingjing Tian, Kang Xing, Yongxiang Ma, Qunmin Yan

Journal of Electric Power Science and Technology

In order to improve the accuracy and speed of key node identification and damage resistance analysis of power grids, the topological structure and electrical characteristics are considered comprehensively. The topological information entropy in the improved K‑shell algorithm (IKS) is replaced by power flow entropy, and the value obtained by weighted summing of the K-shell (Ks) value and power flow entropy is defined as a new index for evaluating node importance, namely the comprehensive value of node importance. The comprehensive value of node importance is ranked, and the key node identification model with IKS and power flow entropy is obtained. By …

Coordinated And Optimized Scheduling Of Virtual Power Plants With Wind Power‑Waste Incineration Cogeneration Considering Uncertainty Of Source And Load Sides, Chenyu Wang, Zhong Tang, Minjie Wei, Xiangyang Liu, Haoyang Cui

Journal of Electric Power Science and Technology

In response to the uncertainty of wind power and load fluctuations, as well as the insufficient system peak shaving capacity of cogeneration units during winter heating periods, a virtual power plant consisting of wind farms, power-to-gas (P2G) conversion plants, and waste incineration power plants within a certain area is formed. Firstly, to address the low energy utilization efficiency of waste incineration power plants, it is considered to adopt their cogeneration mode to participate in system peak shaving, improve energy utilization efficiency, and establish a mathematical model of waste incineration power plants under the cogeneration mode. Secondly, wind farms, P2G, and …

Event‑Triggered Sliding Mode Control Of Direct‑Current Microgrid System Under Network Attack, Yonghui Liu, Yanjie Lu

Journal of Electric Power Science and Technology

This paper studies the direct-current bus voltage control of direct-current microgrid systems under false data injection attacks based on event-triggered fixed-time sliding mode control. Firstly, the mathematical model of the direct-current microgrid system under false data injection attacks is established. Secondly, to save network resources, event-triggered mechanisms are introduced in the sensor-to-observer channel and observer-to-controller channel. Thirdly, since the system current is difficult to be accurately measured due to the constant power load disturbance and false data injection attack, a state observer is designed. A fixed-time sliding mode controller based on the observer is designed, and the upper bound of …

Influence Characteristics Of Insulation Layer Temperature On Partial Discharge Of Xlpe, Yan Li, Guancheng Zhen, Haoyuan Song, Xiaokun Liu, Yuwei Liang, Junjie Qiao, Xinyue Liu, Maotao Wang, Zhigang Zhai

Journal of Electric Power Science and Technology

Cross-linked polyethylene (XLPE) cables are the first choice for urban grid line construction. Insulation defects can lead to partial discharge, which affects the insulation performance of the cables and even leads to insulation breakdown and line tripping. At the same time, the cables undergo constant hot and cold cycles during operation, and the insulation layer temperature affects the partial discharge characteristics of XLPE. In order to study this effect, a pin-to-plane electrode experimental platform is set up to measure partial discharge data of XLPE at different temperatures, and the results show that partial discharge mainly occurs at −10°~100° and 150°~265° …

Locational Data And The Public Interest, William A. Herbert, Micahel Goodchild, Richard Appelbaum, Jeremy Crampton, Gary Langham, Krzysztof Janowicz, Mei-Po Kwan, Katina Michael, Lisa Schamess

Publications and Research

This article presents a paper developed by the AAG Organizing Committee on Locational Information and the Public Interest through a summit held in Santa Barbara, California in June 2022. The summit resulted in goals and ideas for addressing the issues that arise from the present environment for geodata, whereby public, private, and third-sector entities can tap into publicly available locational information with relatively little regulation on its access or use. The Committee articulates four goals: (1) develop a research agenda extending across disciplines, (2) outline educational resources and strategies to guide ethical practice, (3) devise a pathway to increase public …

02.10.2025 Ored Connect, Liz Williamson

ORED Newsletter

Community Engagement Recognition

Multimodal Search On A Line, Jared Coleman, Dmitry Ivanov, Evangelos Kranakis, Danny Krizanc, Oscar Morales Ponce

Computer Science Faculty Works

Inspired by the diverse set of technologies used in underground object detection and imaging, we introduce a novel multimodal linear search problem whereby a single searcher starts at the origin and must find a target that can only be detected when the searcher moves through its location using the correct of p possible search modes. The target’s location, its distance d from the origin, and the correct search mode are all initially unknown to the searcher. We prove tight upper and lower bounds on the competitive ratio for this problem. Specifically, we show that when p is odd, the optimal …

Robust Pricing For Cloud Computing, Dirk Bergemann, Rahul Deb

Cowles Foundation Discussion Papers

We study the robust sequential screening problem of a monopolist seller of multiple cloud computing services facing a buyer who has private information about his demand distribution for these services. At the time of contracting, the buyer knows the distribution of his demand of various services and the seller simply knows the mean of the buyer’s total demand. We show that a simple “committed spend mechanism” is robustly optimal: it provides the seller with the highest profit guarantee against all demand distributions that have the known total mean demand. This mechanism requires the buyer to commit to a minimum total …

A Comparison Study Of Senior And Junior Deck Officers’ Interpretations Of The International Regulations For The Prevention Of Collisions At Sea, Ian Heffernan, Tom O'Mahony

Articles

The International Regulations for the Prevention of Collisions at Sea (IRPCS) provide a comprehensive set of instructions for watchkeeping officers to follow and prevent collisions at sea. This study compares how six newly qualified deck officers and six Master Mariners, who were all trained at the same college, applied the IRPCS. Individual, semi-structured interviews were used to uncover how the 12 participants applied and interpreted the rules for three authentic scenarios. Phenomenography was used to capture the qualitatively different means by which participants interpreted the IRPCS. For basic collision avoidance situations, the results indicated little difference between the cohorts' ability …

Classification Of Non-Tcga Cancer Samples To Tcga Molecular Subtypes Using Compact Feature Sets, Kyle Ellrott, Christopher K Wong, Christina Yau, Mauro A A Castro, Jordan A Lee, Brian J Karlberg, Jasleen K Grewal, Vincenzo Lagani, Bahar Tercan, Verena Friedl, Toshinori Hinoue, Vladislav Uzunangelov, Lindsay Westlake, Xavier Loinaz, Ina Felau, Peggy I Wang, Anab Kemal, Samantha J Caesar-Johnson, Ilya Shmulevich, Alexander J Lazar, Ioannis Tsamardinos, Katherine A Hoadley, Cancer Genome Atlas Analysis Network, A Gordon Robertson, Theo A Knijnenburg, Christopher C Benz, Joshua M Stuart, Jean C Zenklusen, Andrew D Cherniack, Peter W Laird

Faculty, Staff and Student Publications

Molecular subtypes, such as defined by The Cancer Genome Atlas (TCGA), delineate a cancer's underlying biology, bringing hope to inform a patient's prognosis and treatment plan. However, most approaches used in the discovery of subtypes are not suitable for assigning subtype labels to new cancer specimens from other studies or clinical trials. Here, we address this barrier by applying five different machine learning approaches to multi-omic data from 8,791 TCGA tumor samples comprising 106 subtypes from 26 different cancer cohorts to build models based upon small numbers of features that can classify new samples into previously defined TCGA molecular subtypes-a …

Yinyang-Align: Benchmarking Contradictory Objectives And Proposing Multi-Objective Optimization Based Dpo For Text-To-Image Alignment, Amitava Das, Yaswanth Narsupalli, Gurpreet Singh, Vinija Jain, Vasu Sharma, Suranjana Trivedi, Aman Chadha, Amit Sheth

Publications

As Text-to-Image (T2I) models become more advanced, they face a fundamental challenge—balancing conflicting alignment goals such as faithfulness vs. artistic freedom, realism vs. stylization, and verifiability vs. creativity. Existing alignment methods often optimize for one objective at the cost of another, leading to inconsistencies in AI-generated images.
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/="/">In our latest work, YinYang-Align, we introduce a benchmarking framework to systematically evaluate these trade-offs and propose Contradictory Alignment Optimization (CAO)—a multi-objective extension of Direct Preference Optimization (DPO) that enables models to navigate competing alignment goals more effectively.

Chronic Kidney Disease In Hispanic Population In Us: A Public Health Research Gap, Shyam Chirravoori

Health & Biomedical Sciences Faculty Publications

Hispanic population is very fast growing in the United States of America. The incidence and prevalence of End Stage Renal Disease (ESRD) is Hispanics is higher than that of non-Hispanic Whites. The Hispanics with Chronic Kidney Disease (CKD) are at a greater risk for kidney failure. The main contributing factors for this higher burden of chronic kidney disease are diabetes, and metabolic syndrome. Both diabetes and metabolic syndrome are common in Hispanics. In addition, Health care access, quality of health care, language barrier, health literacy, low socioeconomic status, life style etc., may further contribute to the increased disease burden of …