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Illustrations Of Benevolent And Hostile Heterosexism In Lgbtq+ People’S Lives, Jes L. Matsick, Lindsay Palmer, Flora Oswald, Mary Kruk, Kenneth Ye Mar 2025

Illustrations Of Benevolent And Hostile Heterosexism In Lgbtq+ People’S Lives, Jes L. Matsick, Lindsay Palmer, Flora Oswald, Mary Kruk, Kenneth Ye

Faculty Publications

In this study, we aimed to define heterosexism—a form of sexual stigma that accounts for interpersonal attitudes and institutionalized ideology—in a multi-dimensional way, centering on LGBTQ+ people’s experiences. We draw from an ambivalent theory of prejudice and focus on heterosexism, or an ideology that stigmatizes nonheterosexual behaviors, identities, relationships, and communities. We aimed to learn how LGBTQ+ people would narrate their experiences of heterosexism within a benevolent and hostile framing. In a qualitative online study, LGBTQ+ participants (N = 77; 49% White) reviewed definitions of and recalled encounters with benevolent and hostile heterosexism, providing examples of how heterosexism manifests …


The Impact Of Solar Angle And Cloud Shadows On 3d Reconstruction Of Rolling Stock Cargo, Carlina M. Ostrand, Adam D. Reiman, Frank W. Ciarallo, Scott L. Nykl, Clark N. Taylor, Joshua F. Krutz Mar 2025

The Impact Of Solar Angle And Cloud Shadows On 3d Reconstruction Of Rolling Stock Cargo, Carlina M. Ostrand, Adam D. Reiman, Frank W. Ciarallo, Scott L. Nykl, Clark N. Taylor, Joshua F. Krutz

Faculty Publications

Meeting the relentless demand for more efficient air cargo transportation is of paramount importance for commercial needs and military missions. This study describes an experiment to test an innovative approach that harnesses cutting-edge stereoscopic vision technology to create 3D point clouds of rolling stock cargo across varying solar angles and cloud shadow conditions. Virtual cargo point clouds are generated by calibrating and systematically organizing the depth and location points from an RGB-D camera and then reprojecting them in a virtual environment. Measurement accuracy was rigorously tested across six camera positions in various combinations of weather conditions against physical ground truth …


Adapting To Ai: The Evolving Role Of Faculty In Higher Education, Ronald R. Danault Mar 2025

Adapting To Ai: The Evolving Role Of Faculty In Higher Education, Ronald R. Danault

Faculty Publications

Artificial intelligence (AI) is changing the face of higher education, and there are important issues regarding the future of the faculty (Stoerger, 2024). Although there are concerns about the impact of AI on the conventional faculty roles in teaching, assessment, and administration, these tools are now being adopted in learning processes. Rather than dismissing AI as a threat, it acts as a catalyst for reshaping the way faculty members teach with the help of AI and, hence, become facilitators of the learning process (Haoyang & Towne, 2025).

This paper aims to discuss the integration of AI in the higher education …


On Large Language Models In National Security Applications, William N. Caballero, Phillip R. Jenkins Mar 2025

On Large Language Models In National Security Applications, William N. Caballero, Phillip R. Jenkins

Faculty Publications

The overwhelming success of GPT-4 in early 2023 highlighted the transformative potential of large language models (LLMs) across various sectors, including national security. This article explores the implications of LLM integration within national security contexts, analyzing their potential to revolutionize information processing, decision-making, and operational efficiency. Whereas LLMs offer substantial benefits, such as automating tasks and enhancing data analysis, they also pose significant risks, including hallucinations, data privacy concerns, and vulnerability to adversarial attacks. Through their coupling with decision-theoretic principles and Bayesian reasoning, LLMs can significantly improve decision-making processes within national security organizations. Namely, LLMs can facilitate the transition from …


Racial And Ethnic Inequalities In Actual Vs Nearest Delivery Hospitals, Nansi S. Boghossian, Lucy T. Greenberg, Jeffrey S. Buzas, Joshua Radack, Molly Passarella, Jeannette Rogowski, George R. Saade, Ciaran S. Phibbs, Scott A. Lorch Mar 2025

Racial And Ethnic Inequalities In Actual Vs Nearest Delivery Hospitals, Nansi S. Boghossian, Lucy T. Greenberg, Jeffrey S. Buzas, Joshua Radack, Molly Passarella, Jeannette Rogowski, George R. Saade, Ciaran S. Phibbs, Scott A. Lorch

Faculty Publications

IMPORTANCE Minoritized racial and ethnic groups, such as American Indian and Black individuals, often receive lower quality health care compared with White individuals. There is limited understanding of how these disparities extend to obstetric care, particularly when comparing the quality of care at the actual delivery hospital vs the nearest obstetric hospital based on the birthing individual’s residence. OBJECTIVE To examine inequality in care based on the actual delivery hospital and the closest delivery hospital to the birthing individual’s residential zip code centroid. DESIGN, SETTING, AND PARTICIPANTS This population-based retrospective cohort study used data from 5 states (2008 to 2020 …


Family Risk Classes Predict Longitudinal Parent And Child Outcomes: Understanding The Implications Of Poverty-Related Adversity, Daniel K. Cooper, Benjamin L. Bayly, Brianna Tennie, Francesca Lupini, Martha E. Wadsworth Mar 2025

Family Risk Classes Predict Longitudinal Parent And Child Outcomes: Understanding The Implications Of Poverty-Related Adversity, Daniel K. Cooper, Benjamin L. Bayly, Brianna Tennie, Francesca Lupini, Martha E. Wadsworth

Faculty Publications

Experiencing poverty and associated risk factors can be detrimental to families’ mental health and well-being. However, it is unclear whether experiencing specific types or patterns of adversity leads to distinct outcomes. Guided by the Family Stress Model, the objective of this study was to (a) identify unique family risk classes based on exposure to various combinations of poverty-related adversity and (b) examine whether the family risk classes differed in their levels of parental coping strategies, couple relationship quality, parenting practices, and child behavior problems. The sample included 301 mother–father–child triads (602 adults and 301 children) with a combined income ≤ …


No Evidence Of Fisheries-Induced Evolution Observed From Bluegill Populations In Small Kansas Impoundments, Morganne C. Borsh, Ben C. Neely, Peter B. Berendzen Mar 2025

No Evidence Of Fisheries-Induced Evolution Observed From Bluegill Populations In Small Kansas Impoundments, Morganne C. Borsh, Ben C. Neely, Peter B. Berendzen

Faculty Publications

Objective: Bluegill Lepomis macrochirus support recreational fisheries throughout much of their geographic distribution. One characteristic of the species is for males to exhibit alternative reproductive tactics to maximize production of progeny. These divergent strategies coupled with size-selective harvest by anglers create the potential for fisheries-induced evolution (FIE). As such, we sought to characterize genetic diversity of five fished and five unfished Bluegill populations to test for the occurrence of FIE. Methods: Fin clips from 100 Bluegill across 10 populations in southeast Kansas were collected to examine genetic diversity and test for the occurrence of FIE associated with long-term selective harvest. …


Are Populist Leaders Playing The Public? Examining The Effect Of Populism On Common And Luxury Good Imports, Brian Warby, Nicholas Bailey Mar 2025

Are Populist Leaders Playing The Public? Examining The Effect Of Populism On Common And Luxury Good Imports, Brian Warby, Nicholas Bailey

Faculty Publications

Populist movements have grown significantly around the world in recent years. Populist ideologies typically view social and political elites as the enemy of the people; however, populist leaders are themselves part of the elite class, and are politically and financially dependent on other elites to some degree. We use principal-agent theory to examine whether populist leaders act as constrained agents by faithfully representing the people’s interests, or whether they actually pursue elite interests. We use panel data on more than 170 countries from 1993 to 2019 to look at total imports and imports of luxury goods under populist regimes to …


Mirrors For Pacific Islander Children: Teaching Resilience Through Culturally Adapted Bibliotherapy, Isabel Medina Hull, Elizabeth Cutrer, Paul H. Ricks, G. E. Kawika Allen, Kendra M. Hall-Kenyon, Lorena Seu, Kristopher J. Urbina, Melia Fonoimoana Garrett Mar 2025

Mirrors For Pacific Islander Children: Teaching Resilience Through Culturally Adapted Bibliotherapy, Isabel Medina Hull, Elizabeth Cutrer, Paul H. Ricks, G. E. Kawika Allen, Kendra M. Hall-Kenyon, Lorena Seu, Kristopher J. Urbina, Melia Fonoimoana Garrett

Faculty Publications

Pacific Islander youth face disproportionately high rates of suicide and mental health challenges, yet culturally appropriate interventions remain scarce. This study investigated whether culturally adapted bibliotherapy could effectively promote resilience in American Samoan children by incorporating culturally relevant stories and coping strategies. Through collaboration with on-island Samoan cultural brokers, we developed and implemented culturally adapted stories and lessons designed to resonate with the experiences of children in American Samoa. The study employed a mixed-methods approach with 34 American Samoan children aged 5–13 years, using observations, adapted card sorts, and forced-choice procedures to measure responses to the intervention. The results demonstrated …


Msbzip55 Regulates Salinity Tolerance By Modulating Melatonin Biosynthesis In Alfalfa, Tingting Wang, Jiaqi Yang, Jiamin Cao, Qi Zhang, Huayue Liu, Peng Li, Yizhi Huang, Wenwu Qian, Xiaojing Bi, Hui Wang, Yunwei Zhang Mar 2025

Msbzip55 Regulates Salinity Tolerance By Modulating Melatonin Biosynthesis In Alfalfa, Tingting Wang, Jiaqi Yang, Jiamin Cao, Qi Zhang, Huayue Liu, Peng Li, Yizhi Huang, Wenwu Qian, Xiaojing Bi, Hui Wang, Yunwei Zhang

Faculty Publications

No abstract provided.


Origin Of Large Effective Phonon Magnetic Moments In Monolayer Mos2, Hussam Mustafa, Cynthia Nnokwe, Gaihua Ye, Mengqi Fang, Swati Chaudhary, Jia An Yan, Kai Wu, Connor J. Cunningham, Colin M. Hemesath, Andrew James Stollenwerk, Paul M. Shand, Eui Hyeok Yang Mar 2025

Origin Of Large Effective Phonon Magnetic Moments In Monolayer Mos2, Hussam Mustafa, Cynthia Nnokwe, Gaihua Ye, Mengqi Fang, Swati Chaudhary, Jia An Yan, Kai Wu, Connor J. Cunningham, Colin M. Hemesath, Andrew James Stollenwerk, Paul M. Shand, Eui Hyeok Yang

Faculty Publications

Recent helicity-resolved magneto-Raman spectroscopy measurement demonstrates large effective phonon magnetic moments of ∼2.5 μB in monolayer MoS2, highlighting resonant excitation of bright excitons as a feasible route to activate Γ-point circularly polarized phonons in transition metal dichalcogenides. However, a microscopic picture of this intriguing phenomenon remains lacking. In this work, we show that an orbital transition between the split conduction bands (Δ0 = 4 meV) of MoS2 couples to the doubly degenerate E″ phonon mode (Ω0 = 33 meV), forming two hybridized states. Our phononic and electronic Raman scattering measurements capture these two states: (i) one with predominantly phonon contribution …


Synthesis Of A Series Of Rare-Earth-Based Multi-Anion Chalcogenide Iodides Re3Si2SeXS8-XI (Re = La, Ce, Pr, And Nd) Using The Flux-Assisted Boron-Chalcogen Mixture Method, Gopabandhu Panigrahi, Habiba Binte Kashem, Gregory Morrison, Hans Conrad Zur Loye Mar 2025

Synthesis Of A Series Of Rare-Earth-Based Multi-Anion Chalcogenide Iodides Re3Si2SeXS8-XI (Re = La, Ce, Pr, And Nd) Using The Flux-Assisted Boron-Chalcogen Mixture Method, Gopabandhu Panigrahi, Habiba Binte Kashem, Gregory Morrison, Hans Conrad Zur Loye

Faculty Publications

Single crystals and polycrystalline powders of rare earth mixed chalcogenide iodides La3Si2Se1.21S6.79I, Ce3Si2Se1.39S6.61I, Pr3Si2Se1.22S6.78I, and Nd3Si2Se1.18S6.82I were prepared using the reactive flux-assisted boron-chalcogen mixture (BCM) method at 850 °C. All compounds crystallized in the monoclinic crystal system, space group C2/c (space group number 15). The series adopts the La3Si2O8Cl structure type, containing isolated SiQ4 tetrahedra connected by REQ8 (RE = La, Ce, Pr and Nd) polyhedra; this arrangement creates tunnels that are filled by I atoms. The partial substitution of S by Se was carried out to modulate the optical properties. Phase pure samples and uniform solid solutions were obtained …


Commodity Thermoplastic Elastomer-Enabled Templated Synthesis Of Large-Pore Ordered Mesoporous Materials, Anthony Griffin, Parker Frame, Yizhi Xiang, Zhe Qiang Mar 2025

Commodity Thermoplastic Elastomer-Enabled Templated Synthesis Of Large-Pore Ordered Mesoporous Materials, Anthony Griffin, Parker Frame, Yizhi Xiang, Zhe Qiang

Faculty Publications

Fabrication of ordered mesoporous materials (OMMs) has predominantly relied on templating-based methods. However, these methods are constrained by several limitations, especially the limited pore sizes attainable with commercially available surfactants used as structure-directing agents. To unlock the full potential of the OMMs, it is essential to develop synthetic strategies that facilitate the production of large-pore OMMs using scalable processes and cost-effective precursors. This work demonstrates the use of thermoplastic elastomer (TPE)-derived carbon replicas for synthesizing ordered mesoporous silica (OMS) and metal oxides (OMMOs) via precursor infiltration and template removal. The nanostructural evolution of the resulting inorganic materials was systematically investigated. …


Ec2vec: A Machine Learning Method To Embed Enzyme Commission (Ec) Numbers Into Vector Representations, Mengmeng Liu, Xialong Ni, J. Ramanujam, Michal Brylinski Mar 2025

Ec2vec: A Machine Learning Method To Embed Enzyme Commission (Ec) Numbers Into Vector Representations, Mengmeng Liu, Xialong Ni, J. Ramanujam, Michal Brylinski

Faculty Publications

Enzyme commission (EC) numbers play a vital role in classifying enzymes and understanding their functions in enzyme-related research. Although accurate and informative encoding of EC numbers is essential for enhancing the effectiveness of machine learning applications, simple EC encoding approaches suffer from limitations such as false numerical order and high sparsity. To address these issues, we developed EC2Vec, a multimodal autoencoder that preserves the categorical nature of EC numbers and leverages their hierarchical relationships, resulting in more meaningful and informative representations. EC2Vec encodes each digit of the EC number as a categorical token and then processes these embeddings through a …


The Southern Miss Bower Academic Center: A Recent Academic Library-Athletics Partnership, Blake Denton Mar 2025

The Southern Miss Bower Academic Center: A Recent Academic Library-Athletics Partnership, Blake Denton

Faculty Publications

In 2019, A. Blake Denton published a literature review that identified and described 35 partnerships between academic libraries and athletics programs at higher education institutions in the United States, 20 of which were established for library marketing and development purposes. Recognizing that the literature documenting marketing and development partnerships was dated, he published a study in 2021 that provided updated, more comprehensive accounts for eight participating institutions and an analysis of the evolving nature of their relationships over time. This third article analyzes the partnership at the University of Southern Mississippi that resulted in the relocation of the athletics program’s …


Time-Series Forecasting In Smart Manufacturing Systems: An Experimental Evaluation Of The State-Of-The-Art Algorithms, Mojaba A. Farahani, Fadi El Kalach, Austin Harper, M.R. Mccormick, Ramy Harik, Thorsten Wuest Mar 2025

Time-Series Forecasting In Smart Manufacturing Systems: An Experimental Evaluation Of The State-Of-The-Art Algorithms, Mojaba A. Farahani, Fadi El Kalach, Austin Harper, M.R. Mccormick, Ramy Harik, Thorsten Wuest

Faculty Publications

Time-Series Forecasting (TSF) is a growing research area across various domains including manufacturing. Manufacturing can benefit from Artificial Intelligence (AI) and Machine Learning (ML) innovations for TSF tasks. Although numerous TSF algorithms have been developed and proposed over the past decades, the critical validation and experimental evaluation of the algorithms hold substantial value for researchers and practitioners and are missing to date. This study aims to fill this research gap by providing a rigorous experimental evaluation of the state-of-the-art TSF algorithms on thirteen manufacturing-related datasets with a focus on their applicability in smart manufacturing environments. Each algorithm was selected based …


Comparison Of Deep Learning And Traditional Machine Learning Models For Predicting Mild Cognitive Impairment Using Plasma Proteomic Biomarkers, Kesheng Wang Phd, Ma, Bs, Donald A. Adjeroh, Wei Fang, Suzy M. Walter, Danqing Xiao, Ubolrat Piamjariyakul, Chun Xu Mar 2025

Comparison Of Deep Learning And Traditional Machine Learning Models For Predicting Mild Cognitive Impairment Using Plasma Proteomic Biomarkers, Kesheng Wang Phd, Ma, Bs, Donald A. Adjeroh, Wei Fang, Suzy M. Walter, Danqing Xiao, Ubolrat Piamjariyakul, Chun Xu

Faculty Publications

Mild cognitive impairment (MCI) is a clinical condition characterized by a decline in cognitive ability and progression of cognitive impairment. It is often considered a transitional stage between normal aging and Alzheimer’s disease (AD). This study aimed to compare deep learning (DL) and traditional machine learning (ML) methods in predicting MCI using plasma proteomic biomarkers. A total of 239 adults were selected from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) cohort along with a pool of 146 plasma proteomic biomarkers. We evaluated seven traditional ML models (support vector machines (SVMs), logistic regression (LR), naïve Bayes (NB), random forest (RF), k-nearest neighbor …


Enhancing Mucus Flow And Clearance By Grafting Zwitterionic Hydrogel Films To Luminal Surfaces, Ryan Horne, Caleb Escudero, Morgan Ellerman, C. Allan Guymon, Marlan Hansen Mar 2025

Enhancing Mucus Flow And Clearance By Grafting Zwitterionic Hydrogel Films To Luminal Surfaces, Ryan Horne, Caleb Escudero, Morgan Ellerman, C. Allan Guymon, Marlan Hansen

Faculty Publications

Objective

To determine the effects of zwitterionic hydrogel films on mucus contact angles, flow, and stasis with respect to medical polymer surfaces, both flat and tubular.

Methods

A zwitterionic hydrogel thin film was photografted onto medical rubber surfaces and compared against non-zwitterionic hydrogel thin films and untreated surfaces to determine its impact on mucus contact angles, mucus flow on sheets and tubes, and mucus plugging.

Results

Zwitterionic and conventional hydrogel films significantly reduce the mucus contact angles and the tilt required to initiate mucus flow on sheets and in tubular systems. Preliminary experiments show that these films may also shorten …


Time-Dependent Shear Flows And Their Applications In Parabolic–Parabolic Patlak–Keller–Segel Systems*, Siming He Mar 2025

Time-Dependent Shear Flows And Their Applications In Parabolic–Parabolic Patlak–Keller–Segel Systems*, Siming He

Faculty Publications

In this study, we investigate the behavior of three-dimensional parabolic–parabolic Patlak–Keller–Segel systems in the presence of ambient shear flows. Our findings demonstrate that when the total mass of the cell density is below a specific threshold, the solution remains globally regular as long as the flow is sufficiently strong. The primary difficulty in our analysis stems from the fast creation of chemical gradients due to strong shear advection.


Trans-Arg: Predicting Antibiotic Resistance Genes With A Transformer-Based Model And Pretrained Protein Language Model, Mohd Manzar Abbas, Amit Ranjan, Aixin Hou, Supratik Mukhopadhyay Mar 2025

Trans-Arg: Predicting Antibiotic Resistance Genes With A Transformer-Based Model And Pretrained Protein Language Model, Mohd Manzar Abbas, Amit Ranjan, Aixin Hou, Supratik Mukhopadhyay

Faculty Publications

Antibiotic resistance presents an emerging challenge to global health by reducing the efficacy of antibiotics administered to treat bacterial infections. Traditional approaches for detecting antibiotic resistance genes (ARGs) involve alignment-based sequence similarity techniques, which are time-consuming and resource-intensive. This signifies the necessity for developing advanced computational methods to detect ARGs early. To address this challenge, we introduce Trans-ARG, a novel multi-head attention transformer-based model designed to predict potential ARGs. Our approach leverages the pretrained ESMFold model to extract embeddings from protein sequences, capturing intricate structural and functional information. Protein sequences labelled as ARG or non-ARG were used as the dataset. …


Kg-Dta: A Knowledge Graph-Based Meta-Path Learning Framework To Predict Drug-Target Binding Affinity, Amit Ranjan, Adam Bess, Md Saiful Islam Sajol, Magesh Rajasekaran, Chris Alvin, Supratik Mukhopadhyay Mar 2025

Kg-Dta: A Knowledge Graph-Based Meta-Path Learning Framework To Predict Drug-Target Binding Affinity, Amit Ranjan, Adam Bess, Md Saiful Islam Sajol, Magesh Rajasekaran, Chris Alvin, Supratik Mukhopadhyay

Faculty Publications

Drug target affinity (DTA) prediction is essential at different phases of drug discovery and virtual drug screening. However, traditional wet lab experiments are time and resource-intensive owing to the complex interactions within the vast biological and chemical spaces. Computational methods have proven their potential to predict DTA, but none have considered the association of drugs and proteins to capture the complex interactions in the biological network between drugs and proteins. To address this, we propose a novel framework leveraging knowledge graph-based meta-path learning (KG-DTA) to enhance DTA prediction. First, we construct a weighted heterogeneous network of drugs and proteins that …


Uncertainty Propagation And Sensitivity Analysis For Constrained Optimization Of Nuclear Waste Vitrification, Lagrande Gunnell, Xiaonan Lu, John D. Vienna, Dong-Sang Kim, Brian J. Riley, John Hedengren Mar 2025

Uncertainty Propagation And Sensitivity Analysis For Constrained Optimization Of Nuclear Waste Vitrification, Lagrande Gunnell, Xiaonan Lu, John D. Vienna, Dong-Sang Kim, Brian J. Riley, John Hedengren

Faculty Publications

The vitrification of high-level waste (HLW) by heating a mixture of glass-forming chemicals (GFCs) with the waste can be improved using a constrained optimization problem. This study explores how different uncertainty propagation (UP) methods implemented with the optimization process can affect the glass formulation of nuclear waste glasses. UP is the effort of propagating uncertain inputs through a system to understand and quantify output distributions. Uncertainty intervals are crafted from output distributions to inform the optimization algorithm. UP is often implemented with Monte Carlo (MC) sampling for large nonlinear systems, which can be difficult to implement within a constrained optimization …


Friction-Based Recycling: An Evaluation Of Friction Extrusion For Fabricating Ti-6al-4 V Wire Fabricated From Machining Chip Feedstock, Devesh Kumar Chouhan, Mageshwari Komarasamy, Scott B. Taysom, Nicole R. Overman, Nathan L. Canfield, Timothy J. Roosendaal, Anthony P. Reynolds, Scott A. Whalen Mar 2025

Friction-Based Recycling: An Evaluation Of Friction Extrusion For Fabricating Ti-6al-4 V Wire Fabricated From Machining Chip Feedstock, Devesh Kumar Chouhan, Mageshwari Komarasamy, Scott B. Taysom, Nicole R. Overman, Nathan L. Canfield, Timothy J. Roosendaal, Anthony P. Reynolds, Scott A. Whalen

Faculty Publications

Titanium and its alloys are used in aviation and automobile industries due to their remarkable strength to weight ratio, but machining loss commonly is high with ~ 80 wt% of the material being converted to scrap. Recycling post-consumer Ti scrap directly into solid bulk products is a potential solution for repurposing valuable material. Further, eliminating fresh Ti sponge during recycling might lead to lower energy and greenhouse gas emissions. In this study, a solid-phase process known as friction extrusion was utilized to recycle Ti-6Al-4 V machining chips into solid wires which could be used as feedstock in additive manufacturing. The …


Nucleoredoxin Regulates Wnt Signaling During Pituitary Stem Cell Differentiation, Michelle L. Brinkmeier, Leonard Y M Cheung, Sean P. O'Connell, Diana K. Gutierrez, Eve C. Rhoads, Sally A. Camper, Shannon W. Davis Mar 2025

Nucleoredoxin Regulates Wnt Signaling During Pituitary Stem Cell Differentiation, Michelle L. Brinkmeier, Leonard Y M Cheung, Sean P. O'Connell, Diana K. Gutierrez, Eve C. Rhoads, Sally A. Camper, Shannon W. Davis

Faculty Publications

Nucleoredoxin (Nxn) encodes a multi-functional enzyme with oxidoreductase activity that regulates many different signaling pathways and cellular processes in a redox-dependent manner. Rare NXN mutations are reported in individuals with recessive Robinow syndrome, which involves mesomelic skeletal dysplasia, short stature, craniofacial dysmorphisms, and incompletely penetrant heart and palate defects. Here we report that Nxn is expressed in the ventral diencephalon and developing pituitary gland, and that Nxn deficient mice have pituitary dysmorphology and craniofacial abnormalities that include defects in the skull base and cleft palate. Nxn mutant mice exhibit reduced WNT signaling and reduced differentiation of pituitary stem …


Pre-Exposure Prophylaxis Uptake Among Black/African American Men Who Have Sex With Other Men In Midwestern, United States: A Systematic Review, Oluwafemi Adeagbo, Oluwaseun Abdulganiyu Badru, Prince Addo, Amber Hawkins, Monique J. Brown Ph.D., Mph, Xiaoming Li, Rima Afifi Mar 2025

Pre-Exposure Prophylaxis Uptake Among Black/African American Men Who Have Sex With Other Men In Midwestern, United States: A Systematic Review, Oluwafemi Adeagbo, Oluwaseun Abdulganiyu Badru, Prince Addo, Amber Hawkins, Monique J. Brown Ph.D., Mph, Xiaoming Li, Rima Afifi

Faculty Publications

Introduction: Black/African American men who have sex with other men (BMSM) are disproportionately affected by HIV, experience significant disparities in HIV incidence, and face significant barriers to accessing HIV treatment and care services, including pre-exposure prophylaxis (PrEP). Despite evidence of individual and structural barriers to PrEP use in the Midwest, no review has synthesized this finding to have a holistic view of PrEP uptake and barriers. This review examines patterns of, barriers to, and facilitators of PrEP uptake among BMSM in the Midwest, United States (US).

Methods: Five databases (CINAHL Plus, PUBMED, PsycINFO, SCOPUS, and Web of Science) were searched …


Teaching Archival Silences With The New Hampshire Maps Collection, Kai H. Uchida Mar 2025

Teaching Archival Silences With The New Hampshire Maps Collection, Kai H. Uchida

Faculty Publications

This conference presentation was given at the Annual Spring 2025 Meeting for New England Archivists.

For the past two years, the University Archivist at Milne Special Collections and Archives at the University of New Hampshire has partnered with an instructor in the Natural Resources and Environmental Studies Department to teach about its historic map collections. This presentation will discuss the planning, execution, and lessons learned from using a historic state maps collection to educate students on the concept of "archival silence," and to advocate for the use of historical map collections to develop critical archival and data literacies.


Understanding Ionic Transport In Perovskite Lithium-Ion Conductor Li3/8Sr7/16Ta3/4Hf1/4O3: A Neutron Diffraction And Molecular Dynamics Simulation Study †, Danyi Sun, Nan Wu, Yeting Wen, Shichen Sun, Yufang He, Ke Huang, Cheng Li, Bin Ouyang, Ralph E. White, Kevin Huang Mar 2025

Understanding Ionic Transport In Perovskite Lithium-Ion Conductor Li3/8Sr7/16Ta3/4Hf1/4O3: A Neutron Diffraction And Molecular Dynamics Simulation Study †, Danyi Sun, Nan Wu, Yeting Wen, Shichen Sun, Yufang He, Ke Huang, Cheng Li, Bin Ouyang, Ralph E. White, Kevin Huang

Faculty Publications

Solid-state Li-ion electrolytes (SSEs) are essential for the development of next-generation solid-state Li-metal batteries and new Li-extraction electrochemical cells. Among these, the perovskite-type SSE Li3/8Sr7/16Ta3/4Hf1/4O3 (LSTH) has garnered attention for Li-extraction applications, owing to its outstanding chemical and thermal stability and high ionic conductivity. However, its precise crystal structure and Li-ion transport mechanisms remain insufficiently understood. This study addresses these gaps by employing neutron diffraction to resolve LSTH's crystallography and machine learning force field (MLFF) based MD simulations to elucidate ionic transport mechanisms. A single-phase LSTH, synthesized via the sol–gel method, exhibits a room-temperature bulk conductivity of 0.418 mS cm−1 …


Negotiating Home In The Long Poem: Amatoritsero Ede’S Transpatiality, Mathias Iroro Orhero Mar 2025

Negotiating Home In The Long Poem: Amatoritsero Ede’S Transpatiality, Mathias Iroro Orhero

Faculty Publications

In this paper, I argue that Amatoritsero Ede uses the long poem to negotiate the idea of home in an African diasporic context. As a form that carries the implications of length, time, and space, the long poem has been used by poets to interrogate the way we structure the world and to deconstruct grand narratives. The figure of the Black immigrant is one that destabilizes grand narratives of nationalism. This makes the form important in its capacity to ask important questions about nation and tradition even as it transgresses them. As a writer from the Niger Delta, a marginal …


Nanostructure Retention To 1100 °C In Soft-Templated Niobium Tungstates Using Dual-Carbon Strategy, Sean C. Wechsler, Alexander Gregg, Coby S. Collins, Santosh Kiran Balijepalli, Morgan Stefik Mar 2025

Nanostructure Retention To 1100 °C In Soft-Templated Niobium Tungstates Using Dual-Carbon Strategy, Sean C. Wechsler, Alexander Gregg, Coby S. Collins, Santosh Kiran Balijepalli, Morgan Stefik

Faculty Publications

Mesoporous metal oxides (MMOs) have diverse applications including energy storage, catalysis, and separation membranes. Block polymer structure directing agents enable the control of morphology and pore size, however preservation of the nanostructure is often limited to a narrow range of heat treatment temperatures which constrains the tailoring of defect chemistries. High temperature treatments typically lead to collapse of the porous structure as surface area is reduced during crystal growth. Here, using a mesoporous niobium tungstate it is shown that neither in situ carbon generation nor ex situ carbon infiltration alone enable preservation of the ordered mesostructure at temperatures high enough …


Older Adults’ Health, Ethnicity, And Daily Life, Hyunsook Kang, Mihae Bae Mar 2025

Older Adults’ Health, Ethnicity, And Daily Life, Hyunsook Kang, Mihae Bae

Faculty Publications

Abstract

This study examines the relationship between ethnicity and daily functional disabilities among older adults, focusing on Activities of Daily Living (ADLs) and Instrumental Activities of Daily Living (IADLs). The analysis uses data from the 2020 National Social Life, Health, and Aging Project (NSHAP) survey, which included a sample of individuals aged 57-85 (n=3,005). Respondents provided information on their demographic background (e.g., income, gender, race, age, health, retirement, and marital status) and socioeconomic characteristics through telephone interviews.

The study hypothesized that ethnic differences would be evident in perceived difficulties with ADLs and IADLs in later life. To assess these relationships, …