Digital Commons Network^™

A New Low-Rate Stable Hydrogel Cathode For Aqueous Zn-Ion Batteries, Roya Rajabi, Shichen Sun, Jamil A. Khan, Morgan Stefik, Kevin Huang

Faculty Publications

Aqueous Zn-ion batteries (ZIBs) are attractive candidates for large-scale energy storage owing to the abundance, low cost, and intrinsic safety of Zn metal. However, their practical application is hindered by poor cycle stability, especially at low current densities, due to cathode dissolution and limited electrochemically active sites (EAS). Herein, a hydrogel-based cathode comprising ammonium vanadate, carbon black, and a Zn-ion-conducting carboxymethyl chitosan–acrylamide hydrogel matrix doped with Zn(ClO4)2 is reported. This design establishes a continuous Zn-ion-conducting network, thereby maximizing EAS density throughout the electrode volume. The ZIB with the hydrogel cathode exhibits outstanding cycling stability, with 77% capacity retention after 2000 …

Fuel Adulteration Detection Using Open-Ended Coaxial Line And Circular Waveguide Techniques, Abdulrahman Alofi, Ahmed Shamseldin, Sharif Iqbal M. Sheikh, Hussein Attia

Faculty Publications

Fuel adulteration, the practice of blending lower-quality substances like kerosene with gasoline, poses significant challenges for ensuring fuel quality and safety. This study investigates two electromagnetic-based methods for detecting such adulteration: the open-ended coaxial line method and the circular waveguide method. The results reveal that the open-ended coaxial line technique is particularly effective in detecting kerosene contamination, identifying levels as low as 10% by measuring changes in the dielectric constant of the gasoline-kerosene mixture. Operating in the frequency range of 0.25–1.25 GHz, this method captures subtle changes in permittivity. In contrast, the circular waveguide method evaluates contamination by monitoring shifts …

Deep Learning Based Contactless Fingerprint Identification, Mohammad Alsmirat, M. Moneb Khaled, Aghyad A.L. Sayadi

Faculty Publications

Biometric authentication systems, particularly contactless fingerprint methods, offer enhanced security and convenience across various domains like access control, law enforcement, and finance. Despite these advantages, contactless systems face significant challenges related to image quality, finger orientation, and environmental factors. To address this, our paper presents the first extensive deep learning-based study on contactless fingerprint recognition using a large dataset of 2,143 images from 175 individuals. Our proposed approach integrates state-of-the-art preprocessing techniques with deep learning models to boost identification performance. After studying various transfer learning models, we achieved a high accuracy of 93.5%. We also conducted two further studies on …

Joint Neutrino Oscillation Analysis From The T2k And Nova Experiments, S. Abubakar, M. A. Acero, B. Acharya, P. Adamson, N. Anfimov, A. Antoshkin, E. Arrieta-Diaz, L. Asquith, A. Aurisano, D. Azevedo, A. Back, N. Balashov, P. Baldi, A. Bambah, E. F. Barenboim, A. Bashyal, A. Basti, K. Bromberg, N. Buchanan, Roberto Petti

Faculty Publications

The landmark discovery that neutrinos have mass and can change type (or flavour) as they propagate—a process called neutrino oscillation^1,2,3,4,5,6—has opened up a rich array of theoretical and experimental questions being actively pursued today. Neutrino oscillation remains the most powerful experimental tool for addressing many of these questions, including whether neutrinos violate charge-parity (CP) symmetry, which has possible connections to the unexplained preponderance of matter over antimatter in the Universe^7,8,9,10,11. Oscillation measurements also probe the mass-squared differences between the different neutrino mass states (Δm²), whether there are two light states and a heavier …

University Students’ Condom Use During The Covid-19 Pandemic: Cross-Cultural Differences And What Predict Them, Liam Dacosta, James S. Morandini, Rebecca T. Pinkus, Elien De Caluwé, Lik Sam Chan, Olivine Lo, Saowanee Thongnopakun, Sawitree Visanuyothin, Cheryl Harasymchuk, Samantha Joel, Helen C. Harton, Alyssa Mccoy, Victoria Dale, David L. Rodrigues, Judit Takács, Alexandra Sipos, Veronica M. Lamarche, Racidon Bernarte, Viktorija Čepukienė, Ivana M. Jakšić, Bojana Bodroža, Huỳnh Hồng Mai, Tran Thi Hong, Grace Akello, Ivana Hromatko, Asha Ganesan, Jiawei Zhang, Damian Murray, James Moran, Juan Ramón Barrada, Ángel Castro, Claudia Navarro-Roldan, Kuan-Pin Su, Jane Chang, Matthew B. Ruby, Donya Ziadlou, Shin Nakamine, Yutaka Watanabe, Albert Lee, Richelle-Joy Chia, Ilan Dar-Nimrod

Faculty Publications

Humans instinctively adopt methods to reduce their risk of encountering harmful pathogens, yet their adherence to preventive health practices can often be erratic. Condoms exemplify one vital preventive tool against sexually transmitted infections (STIs) that, despite their effectiveness, are not consistently utilized. This pattern of behavior appears to persist even during periods of widespread disease transmission, with varied data from the COVID-19 pandemic indicating that condom usage remained inconsistent. The present study aimed to clarify these inconsistencies by examining changes in condom use cross-culturally. Heterosexual participants who were sexually active (N = 3,972 [1,327 men, 2,645 women], Mage= 22.82) across …

Owning Workplace Safety: Investigating Safety Locus Of Control Among Nurses, Archana Manapragada Tedone, Jessica Mesmer-Magnus, Julie J. Lanz, Chockalingam Viswesvaran

Faculty Publications

Workplace accidents and injuries continue to be a challenge in high-risk industries such as healthcare, where safety is a daily critical concern. Although organizational factors such as safety climate have been well-established as predictors of safety-related outcomes, less is known about the role of individual differences in workplace safety. This research investigates safety locus of control, which captures an employee’s tendency to believe that their safety-oriented behaviors actually play a role in preventing safety incidents. Individuals with a highly internal safety locus of control tend to recognize the importance of their own and others’ safety actions for promoting workplace safety …

Home Range Size And Habitat Usage Of Hatchling And Juvenile Wood Turtles (Glyptemys Insculpta) In Iowa, Jeffrey W. Tamplin, Joshua G. Otten, Samuel W. Berg, Nadia E. Patel, Jacob B. Tipton, Justine M.R. Radunzel

Faculty Publications

The Wood Turtle (Glyptemys insculpta) is an endangered species in the state of Iowa and a species of conservation concern across their entire range. The Iowa population is characterized by high levels of adult and egg predation, displays little or no annual recruitment, and harbors an extremely low number of juveniles (7.3%). Home range and habitat usage studies of hatchling and juvenile Wood Turtles are limited to a few studies, and only one study of juveniles exists from the state of Iowa. Over a 10 yr period, we conducted a radiotelemetry study in Iowa on seven juvenile wood turtles for …

Vertical Sorting Of Bed Material In Gravel-Bed Streams-- Insights From Long-Term Observations In East Creek, British Columbia, Marwan A. Hassan, Tianqi Xing, Conor Mcdowell, Kevin J. Pierce, Mike Turley, Sol Leader-Cole, Enrica Viparelli

Faculty Publications

The vertical sorting of streambed grains is a key control on river channel stability and sediment transport rates. In this study, we report on burial depths and mobility characteristics of coarse sediment in a small gravel-bed stream using an extensive data set of nearly 1,500 magnetically tagged tracer grains, deployed and annually surveyed between 2004 and 2018. We observe that sediment burial correlates with grain size and event magnitude, and we identify correlations between the burial depths of coarse grains and their mobility, residence time, and travel distance characteristics. A particularly large event in 2007 produced significant vertical sorting which …

Tangible And Design Assistance In Historic Preservation Courses To Assist Communities In The Recuperation Of Their Existing Built Cultural Resources In New Mexico, Francisco Uviña-Contreras

Faculty Publications

The presentation proposed for the NCBDS 41 Conference to be hosted at the School of Architecture and Planning (SA+P) Department at the University of New Mexico (UNM) concerns the arduous work in the Historic Preservation and Regionalism (HP+R) Program in this institution. This significant opportunity to present courses in the HP+R Program aims to "exchange and disseminate information and ideas concerning preservation education and its relationship to community engagement and its connections to its historical past." This issue is particularly relevant in the context of the NCBDS 41 Conference, which touches on aspects of the "Pedagogy in Cultural Heritage through …

Prioritizing Data Quality In Machine Learning For Thermophysical Property Prediction: A Case Study On Normal Boiling Points Of Organic Compounds, Frank T. Mtetwa, Neil F. Giles, W. Vincent Wilding, Thomas A. Knotts Iv

Faculty Publications

Accurate prediction of the normal boiling point (NBP) of organic compounds is essential for the design and optimization of chemical processes. This is especially true for modern practice since experimental measurements of many compounds of contemporary importance are difficult to perform due to cost, purity, and stability issues. Traditional methods, such as group contribution (GC) and quantitative structure–property relationship (QSPR) approaches, are limited by inflexibility and diminishing accuracy in these situations. Machine learning (ML) approaches have shown promise but are plagued by two weaknesses for the nonspecialist: ease of use (especially compared to GC and QSPR) and proven accuracy for …

From Pixels To Patterns: Coupling Optical Coherence Tomography And Machine Learning For Monitoring Coastal Wetland Root Systems, Mohamed O. Hassan, Aramy Truong, Maruti Mudunuru, Leslie G. Butler, Andre Rovai, Curtis Larimer, Joseph Daddona, Amir Ahkami, Jay Bardhan, Tamas Varga, Kelly Stratton, Satish Karra, Robert Twilley, Navid H. Jafari

Faculty Publications

Coastal wetlands are crucial in shoreline stabilization, carbon sequestration, and storm protection. Yet, due to limitations in traditional destructive sampling techniques, the belowground biomass (live root mass) and necromass (dead and decaying roots) remain difficult to assess in coastal wetlands, limiting our understanding on coastal resilience, nutrient cycling, and soil structure. This study employs Optical Coherence Tomography (OCT) as a high-resolution imaging technique to analyze root biomass and necromass in the Terrebonne Basin, Louisiana. A Random Forest (RF) model was developed to classify root health conditions based on OCT-derived features, achieving an accuracy of 70 % in distinguishing live from …

Evaluating Platinum, Gold, Glassy Carbon, And Graphite Anodes For Chlorine Evolution In Molten Calcium Chloride Salt, Cameron Vann, Shelssie Klvacek, Carlos Mejia, Devin Rappleye

Faculty Publications

The chlorine evolution reaction (CER) in molten CaCl₂ plays a critical role in high-temperature electrochemical processes, including chlorination, metal refining, and used nuclear fuel treatment. This study evaluates the performance of gold (Au), platinum (Pt), glassy carbon (GC), and graphite anodes for the CER under consistent electrochemical conditions. Anode performance was assessed based on chlorine (Cl₂) gas evolution, material robustness, and kinetic parameters. Cl₂ generation was directly confirmed using quadrupole mass spectrometry for Pt, GC, and graphite anodes. GC and graphite demonstrated stable and sustained CER activity. Pt and Au were shown to have significant mass …

A Comprehensive Assessment And Benchmark Studyof Large Atomistic Foundation Models For Phonons, Md Zaibul Anam, Ogheneyoma Aghoghovbia, Mohammed Al-Fahdi, Lingyu Kong, Victor Fung, Ming Hu

Faculty Publications

The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces. While their capability for modeling phonon properties is emerging, systematic benchmarking across chemically diverse systems remains limited. We evaluate six recent uMLPs—EquiformerV2, MatterSim, MACE, and CHGNet—on 2429 crystalline materials from the Open Quantum Materials Database. Models were used to compute atomic forces in displaced supercells, derive interatomic force constants (IFCs), and predict phonon properties including lattice thermal conductivity (LTC), compared with density functional theory and experimental data. The EquiformerV2 pretrained model trained on the OMat24 dataset exhibits strong …

Multi-Level Salmon Governance And Adaptation To Institutional Change In Indigenous Fishing Communities In Kamchatka, Russia, Tatiana Degai, Maria Monakhova, Andrey Petrov, Victoria N. Sharakhmatova, Yulia Vasilieva

Faculty Publications

Discussions around salmon governance and management systems in the Pacific remain to be the source of debate and tension between recreational fishers, commercial fishing industry, Indigenous communities, government agencies, as well as the scientists (Chalifour et al., 2022; Day, 2023; Reid et al., 2022). While decades were spent on developing the “correct” salmon governance regimes, these systems still fail to respond to the needs of salmon-dependent communities and salmon populations (Council of Athabascan Tribal Governments, n.d.; Connors, 2023). In multiple contexts multi-level governance is enforced top-down and is imposed with the pretext of achieving “better” management of resources, yet increasing …

Intrinsic Defects (Vacancies And Antisites) In Neutron Irradiated Cdsip2 Crystals, Timothy D. Gustafson, Elizabeth M. Scherrer, Nancy C. Giles, Kevin T. Zawilski, Peter G. Schunemann, Jonathan E. Slagle, Kent L. Averett, Larry E. Halliburton

Faculty Publications

Cadmium silicon phosphide (CdSiP₂) is a nonlinear optical material widely used in optical parametric oscillators. Intrinsic defects (vacancies and antisites) are responsible for unwanted broad optical absorption bands in these crystals that degrade the performance of the devices. In the present work, optical absorption and electron paramagnetic resonance (EPR) spectra are acquired (at room temperature and 12 K, respectively) from a neutron-irradiated CdSiP₂ crystal. After the irradiation, the crystal is highly absorbing from the band edge near 600 nm to beyond 1.3 μm because of overlapping defect-related absorption bands. Heating to 550 °C removes nearly all the …

College For All And The Postsecondary Experiences Of Rural First-Generation College Students: Patterns Of Alignment With A Predominant Master Narrative, Andrew D. Coppens, Sarah Jusseaume, Jayson O. Seaman, Cindy L. Hartman, Erin H. Sharp

Faculty Publications

The aim of this study was to understand the experiences of rural, first-generation college (RFGC) students in relation to dominant culturally normative expectations about postsecondary educational and workforce trajectories. The study adopted patterns of engagement with a master narrative as both a conceptual framework and unit of analysis, examining both biography and cultural ecologies as well as highlighting agency in the lives and choices of study participants. Evidence is drawn from 4 in-depth narrative interviews with each of 14 RFGC students, conducted both at school and students’ homes, from rural and small-town communities. Results show that a master narrative of …

Multimodal Reprogramming Of The Tumor Microenvironment By Mmr And Dual Checkpoint Blockade In Hepatocellular Carcinoma Models, Mulu Z. Tesfay, Aleksandra Cios, Khandoker Usran Ferdous, Randal S. Shelton, Bahaa Mustafa, Camila C. Simoes, Murat Gokden, Isabelle R. Miousse, Kimberly J. Krager, Marjan Boerma, Alicja Urbaniak, Anuradha Kunthur, Sri Obulareddy, Joshua M. Eichhorn, Steven R. Post, Jean Christopher Chamcheu, Omeed Moaven, Chiswili Y. Chabu, Dan G. Duda, Matteo Conti, Bruno Nardo, Rang Govindarajan, Martin E. Fernandez-Zapico, Lewis R. Roberts, Mitesh J. Borad, Martin J. Cannon, Alexei G. Basnakian, Bolni M. Nagalo

Faculty Publications

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related death worldwide, thus, there is an urgent need to develop more effective therapeutic options for this dismal condition. Tumor-infiltrating lymphocytes (TILs) are associated with improved response to immune checkpoint blockade in HCC, but their low abundance in most cases limits their therapeutic efficacy. Here, we demonstrate, in mice, that low-dose intratumoral immunovirotherapy with the trivalent measles, mumps, and rubella vaccine (MMR) induces superior tumor-growth delay and extended host survival compared to individually administered vaccines for measles, mumps, or rubella viruses. Further, our results show that MMR therapy synergizes with PD-1 and …

Using Serial Open Circuit Potentiometry To Study Ce And Gd Deposition In Molten Licl-Kcl Eutectic, Ranon G. Fuller, Guy L. Fredrickson, Devin Rappleye

Faculty Publications

The ability to electrochemically separate individual species in a pyrochemical reprocessing salt relies on first being able to detect a separation in their reaction potentials. This requires the ability to measure reaction potentials with extreme precision. In this work, we introduce a novel technique called serial open circuit potentiometry (SOCP) and demonstrate its effectiveness at precisely measuring metal deposition reaction potentials. SOCP has several advantages over traditional open circuit potentiometry, including its abilities to quantify the error of measured equilibrium potentials by averaging many individual OCP measurements, determine overpotential deposition nucleation potentials to instrument precision, and simultaneously determine the nucleation …

A Comparison Of Deep Neural Network Compression For Citizen-Driven Tick And Mosquito Surveillance, Yichao Liu, Emmanuel Dufourq, Peter Fransson, Joacim Rocklöv

Faculty Publications

Citizen science has emerged as an effective approach for infectious disease surveillance. With advancements in machine learning, entomologists can now be relieved from the labor-intensive task of species identification. However, deploying machine learning models on mobile devices presents challenges due to constraints on battery life and memory capacity. In this study, we explore the potential of various model compression techniques for deploying machine learning models on resource-limited devices, enabling low-energy consumption and on-device processing for disease surveillance in remote or low-resource settings. We compared two main-stream model compression techniques, pruning and quantization on various mobile devices. Our findings indicate that …

Social Determinants Of Self-Reported Health In Vulnerable Populations During A Polycrisis In Lebanon, Rindala Fayyad, Marie Elizabeth Ragi, Hala Ghattas Ph.D., Stephen J. Mccall

Faculty Publications

Importance: In the context of a polycrisis, which is characterized by multiple interconnected and mutually reinforcing crises, humanitarian and health needs increase. It is therefore crucial to identify social determinants impacting health and well-being of vulnerable populations to better inform appropriate interventions.

Objective: To assess the association between social determinants and pain frequency, self-rated health, and depression over time among vulnerable populations during a polycrisis in Lebanon.

Design, Setting, and Participants: In this population-based longitudinal cohort study, data were collected in Sin-El-Fil, a suburb of Beirut, Lebanon, in 4 waves: June 28 to October 26, 2022; September 8 to December …

Everyday Norms Have Become More Permissive Over Time And Vary Across Cultures, Kimmo Eriksson, Pontus Strimling, Irina Vartanova, Brent Simpson, Minna Persson, Khalid Ahmed Abdi, Neta Ad, Alisher Aldashev, Habib Mohammad Ali, Maurizio Alì, Khatai Aliyev, Yasser M. Alrefaee, Alberth Estuardo Alvarado Ortiz, Per A. Andersson, Giulia Andrighetto, Gizem Arikan, John Jamir Aruta, Christian Lutete Ayikwa, Jonatan Baños-Chaparro, Davide Barrera, Justina Barsyte, Birzhan Batkeyev, Azma Batool, Elizaveta Berezina, Stéphanie Ngandu Bimina, Marie Björnstjerna, Sheyla Blumen

Faculty Publications

Every social situation that people encounter in their daily lives comes with a set of unwritten rules about what behavior is considered appropriate or inappropriate. These everyday norms can vary across societies: some societies may have more permissive norms in general or for certain behaviors, or for certain behaviors in specific situations. In a preregistered survey of 25,422 participants across 90 societies, we map societal differences in 150 everyday norms and show that they can be explained by how societies prioritize individualizing moral foundations such as care and liberty versus binding moral foundations such as purity. Specifically, societies with more …

Moving Beyond Traditional Legal Scholarship Impact Rankings, John Cannan

Faculty Publications

Legal academia is likely stuck with law faculty scholarly impact rankings—that is, using citation counts to judge a law faculty’s reputation and influence. But why can’t we produce better, more useful studies? Current rankings rely on outdated methods. Moreover, these rankings—touted by their creators as objective—suffer from long-standing flaws. They are also grounded in limited understandings of legal citations as sources of information. This paper calls on law librarians to advance legal citation research by adopting methodologies from other information sciences and developing legal citation taxonomies and theories.

Disparities In Street Harassment Exposure And Mental Health Consequences: Elevated Risk For Marginalized Women, Sophia Shaiman, Kaitlin M. Boyle

Faculty Publications

Street harassment is a widespread harm that disproportionately affects women. While research suggests links between racial inequality, street harassment, and mental health outcomes, it is less understood how the severity of harassment experienced is shaped by their demographic characteristics, and how the severity of the harassment shapes mental health outcomes. Thus, we ask two questions. First, which demographic characteristics are associated with a greater risk of “complementary” and “hostile” forms of street harassment? Second, are complementary and hostile forms of street harassment both associated with higher levels of negative emotion, psychological distress, and post-traumatic maladaptive beliefs? To answer these questions, …

Pathlength, Altitude And Angle Of Incidence Dependence Of Remote Water Raman Scattering, Whitney E. Schuler, Paige K. Williams, Zechariah B. Kitzhaber, Caitlyn M. English, Tammi L. Richardson, Nikos Vitzilaios, Michael L. Myrick

Faculty Publications

A small remote Raman sensor was used to measure the Raman scattering signal from clear, still water as a function of water depth (12 cm and 396 cm depth), sensor distance above the water surface (20–300 cm), and angle of incidence (0–80°) to the normal of the water surface. Under thick- and thin-sample conditions, the signal depends on either the inverse, or the inverse square, of sensor distance from the water surface, respectively. A model is derived that fits data for different sensor distances, water depths, and angles of incidence. Fits to the measured data are consistent with the known …

Detecting Polar Ring Galaxies Via Deep Learning, Fawad Kirmani, Anathavishnu S. Unnii, Varsha P. Kulkarni, Kyle Lackey, John R. Rose

Faculty Publications

Polar ring galaxies (PRGs) are peculiar galaxies that show a ring of stars, gas, and dust oriented roughly over the poles of the central ‘host’ galaxy (i.e. roughly orthogonal to the disc of the host galaxy). The formation models for these rings involve mergers or tidal interactions of the host galaxy with another galaxy. Although the identified PRGs look different from each other, they all have a ring that is not in the same plane as the disc of the host galaxy. Unlike in galaxies such as our Milky Way, where stars form in spiral arms, the rings exemplify an …

Visual Literacy, English Learners, And The Slider, Kristin Lems

Faculty Publications

The article looks at some of the ways “degrees of intensity” can be taught and practiced with visual supports such as sliders, graphs, or emojis, with a focus on English learners of all ages.

The Increase In Global Ocean Heat Content And Favorable Conditions For Tropical Cyclone And Cyclop Intensification: Accounting For El Niño, Robert Keenan Forney, Paul W. Miller, Travis A. Smith

Faculty Publications

The ocean heat content (“OHC”)—the heat energy within the ocean integrated to a reference depth—has physical drivers spanning spatial and temporal scales, including seasonality, the El Niño/Southern Oscillation (ENSO), and others. The present article investigates changes in the OHC100 during the period 1994–2020 using GLORYS12 monthly averaged ocean reanalysis. OHC100–ENSO correlation patterns are explored to glean insights about the oceanic mechanisms that facilitate the ENSO’s global teleconnections. After extracting known seasonality and ENSO signals using the Oceanic Niño Index (ONI), the OHC100 residual is analyzed to investigate multidecadal drivers of the OHC100. Lagged ENSO–OHC100 correlations (±12 months) reveal basin-scale oscillations …

Competition And Soil Microbe-Mediated Interactions Following Dieback Of A Dominant Wetland Plant, Joseph Johnston, Aaron E. Devries, Rodrigo Diaz, Vinson P. Doyle, Tracy Elsey-Quirk, James T. Cronin

Faculty Publications

Plant invasions can have important consequences for the soil ecosystem which, in turn, can affect interactions with other plant species and impose serious constraints on restoration efforts. In the Mississippi River Delta (MRD), USA, widespread dieback of the dominant wetland plant, Phragmites australis, was followed by the colonization of invasive Colocasia esculenta (taro) in many areas. We conducted a common-garden experiment to investigate the competitive interactions among taro and two P. australis lineages prevalent in the MRD, Delta and European invasive (EU), and the role of taro-soil microbes in mediating those interactions. Plant types were grown alone or together and …

U-Shaped Relationship Between White Blood Cell Counts And Incident Hypertension In Military Young Adults: The Chief Study, 2014–2020, Kun-Zhe Tsai, Chia-Wei Hong, Yun-Chen Chang, Wei-Chun Huang, Xuemei Sui, Carl J. Lavie, Gen-Min Lin

Faculty Publications

Background

Systemic low-grade inflammation, which is characterized by increased counts of blood leukocytes (white blood cells, WBCs), can lead to hypertension, while reduced WBC counts caused by the use of some substances, e.g., alcohol, can also lead to hypertension. However, there have been no studies on the association between WBC counts and the risk of hypertension in young adults.

Methods

This cohort study conducted in Taiwan included a total of 2351 military personnel who were aged 18–39 years, were free of baseline hypertension and were followed up for incident hypertension from 2014 to the end of 2020. Resting blood pressure …

When Old Meets New: Two Louisiana State University Outreach Librarians Build, Work, And Learn Together To Support Collaborative Student Engagement, Alia Kempton, Mitch Fontenot

Faculty Publications

In this essay, outreach librarians Mitch Fontenot (he/him), Louisiana State University, and Alia Kempton (she/her), Louisiana State University, Special Collections, reflect on their inaugural year of working together, highlighting key achievements, challenges, and growth that have marked their collaborative journey. They discuss how they established effective communication, built trust, and developed a shared understanding of goals and expectations. Additionally, they explore where they envision their partnership heading in the future, touching on long-term aspirations, potential areas for deeper collaboration, and the strategies they plan to implement to continue fostering a successful and productive working relationship.