An Optically Pumped Comagnetometer for High-sensitivity RF Detection without Magnetic Shielding

We develop an optically-pumped magnetometer (OPM) sensitive in the radiofrequency( RF) regime based on 85Rb in a natural abundance rubidium vapor cell to operate in dynamic geomagnetic field environments. Because high sensitivity operation of RF OPMs requires control of the magnetic field environment near DC, we develop an OPM comagnetometer that also utilizes the 87Rb present within the same vapor cell to implement a secondary OPM variometer that provides information on the field-environment near DC. This information is used to provide feedback via a set of tri-axial field control coils that counters the unwanted effects of external geomagnetic fields from DC to 60 Hz, which in turn allows RF OPM operation with an intrinsic sensitivity of around 9 fT/√Hz presence of external magnetic fields on the order of 10s of µT

IMMUNE CELL BALANCE IN CHRONIC HYPOXIA INDUCED PULMONARY HYPERTENSION

Chronic hypoxia (CH), caused by sleep apnea, chronic obstructive pulmonary disease, or high-altitude exposure, leads to pulmonary hypertension (PH). The pathogenesis of CH-induced PH has a number of hallmarks, including phenotypic changes in the pulmonary smooth muscle cells, arterial wall thickening, enhanced vasoreactivity, and inflammation around the pulmonary arteries. Utilizing a T regulatory (Treg) cell lineage tracking mouse model, this dissertation sought to further establish the importance of Treg and T helper 17 (TH17) cell balance in CH-induced PH. We demonstrated that Treg number and suppressive capacity decrease, TH17 cells increase, and Treg-to-TH17 cell transition occurs following exposure to hypoxia. We also show evidence that inducing tolerance to collagen type V (col V), a known self-antigen, attenuates indices of CH-induced PH. Altogether, this work further elucidates the mechanisms of the inflammatory response and possible therapeutic targets for preventing and treating CH-induced PH

The Role of Gender and Salient Social Identities in Producing Vulnerability and Maladptation to Flooding in Koraso, Berekum, Ghana

This paper highlights how social identities like polygamy, illiteracy, and ethnicity hinder rural women farmers in Ghana from adapting to climate change. It advocates for an intersectional approach to address these challenges, moving beyond simplistic gender binaries. Using qualitative interviews (n=49) in a flood-prone village in Berekum, Ghana, the study reveals how these identities intersect with gender roles and colonial legacies, exacerbating vulnerability. It bridges Black feminist thought with climate change, an underexplored area, offering insights into climate change and environmental studies, as well as Black feminist scholarship. This research urges a reevaluation of how we understand climate change in relation to race, gender, and other social identities

Powering Up Clinical Practice: Mastering Clinical Literature Search Techniques – 2026 Jan HSLIC Workshop

This HSLIC workshop introduces practical clinical literature search techniques, focusing on how to translate clinical questions into structured database searches and efficiently navigate core resources. Topics include identifying key concepts, using Boolean operators, truncation, wildcards, phrase searching, proximity operators, subject headings (MeSH/Emtree), building multi-concept search strategies, and accessing full text through HSLIC tools and service.https://digitalrepository.unm.edu/hslic-posters-presentations/1219/thumbnail.jp

Fault Location in DC Microgrids using Traveling Waves

In DC power systems, rapid fault location is crucial for maintaining reliable operation, particularly with the prevalence of DC-DC converters. This study investigates fault location techniques in DC systems utilizing Traveling Waves (TWs). Following data normalization, multi-resolution analysis employs discrete wavelet transform to capture high-frequency patterns of TW\u27s wavelet coefficients. Parseval\u27s theorem is utilized to quantify the energy of these coefficients. First, a curve-fitting technique is employed to estimate fault locations in DC microgrids. Then, two transfer learning approaches are proposed: first approach integrates Parseval energy curves into a Gaussian process estimator, while second employs feedforward neural network for fault prediction. Hardware implementation of TW protection device is also explored, involving real-world testing and validation in the Emera Technologies Kirtland Airforce Base low-voltage DC microgrid. Through experimental validation and field tests, the effectiveness of the proposed methodologies in achieving fast and accurate fault location in DC power systems is demonstrated

Powering Up Clinical Scholarship in Shiprock Family Medicine

This presentation is designed for Shiprock–UNM Family Medicine residents and faculty, focusing on developing practical clinical scholarship skills within a full-spectrum family medicine context.Note-20250116.docx+1 Key topics include research question formation (PICOT, FAC Rubric), navigation of core clinical resources (PubMed, EMBASE, CINAHL, ClinicalKey, UpToDate, HSLIC LibGuides), advanced literature search techniques (Boolean operators, truncation, wildcards, proximity operators, subject headings), strategies for capturing search strategies and documenting basic search methods, use of full-text access tools (LibKey Nomad, proxy authentication, interlibrary loan and document delivery), introduction to critical appraisal tools (CASP, JBI, PRISMA-S), and an overview of publishing supports (Zotero, ORCID, UNM Digital Repository, open access considerations).Note-20250116.docx+1 The session aims to equip family medicine residents in Shiprock with foundational skills to connect everyday clinical questions to the literature, engage in small-scale scholarly activities, and effectively use HSLIC educational and research support services.https://digitalrepository.unm.edu/hslic-posters-presentations/1217/thumbnail.jp