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Powering Up Clinical Scholarship IN Evidence-Based Practice for Nurse Residents
No full textThis Nurse Residency Evidence-Based Practice workshop introduces core concepts of clinical scholarship for nurse residents, emphasizing how to turn clinical questions into structured literature searches and use HSLIC resources to support scholarly projects. Topics include framing answerable clinical questions (e.g., PICOT), navigating key clinical information tools (PubMed, CINAHL, PsycINFO, EMBASE, ClinicalKey, UpToDate), applying practical literature search techniques (Boolean operators, truncation, wildcards, proximity operators, subject headings), documenting basic search strategies, accessing full text (LibKey Nomad, proxy authentication, interlibrary loan and document delivery), and a brief introduction to critical appraisal tools and publishing supports available through HSLIC.https://digitalrepository.unm.edu/hslic-posters-presentations/1220/thumbnail.jp
Solderability of Additively Manufactured Metals and the Effect of Surface Modification
No full textThe enhanced geometrical design freedoms enabled by additive manufacturing (AM) are of particular interest in producing components for electrical and thermal applications. Copper (Cu) is an excellent conductor, but it is relatively unexplored in AM. For effective use in electrical and thermal assemblies, AM Cu requires further study. In the present work, the bulk and surface properties as well as the solderability of AM Cu produced by laser powder bed fusion (LPBF), directed energy deposition (DED), and bound powder extrusion (BPE) has been characterized. Additionally, the surface properties, effect of electroplating, and the solderability of AM 17-4 PH stainless steel are explored. LPBF Cu and nickel plated 17-4 PH wet very well with eutectic Tin-Lead (SnPb) solder, but BPE Cu was determined to have the best overall solderability. Surface modification by dry electropolishing is shown to decrease the surface roughness and improve solderability
Fault Location in DC Microgrids using Traveling Waves
No full textIn 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
TEACHER-IMPLEMENTED SCAFFOLDING
No full textTeacher-implementing scaffolding is fundamental in teaching that was disrupted by the sudden move to emergency remote teaching during the pandemic. A review of research found trends based on grade and subject and that teacher’s responsiveness was the main contingent processes reported. Based on this a survey was developed and an exploratory factor analysis was completed. An analysis of the survey results found differences in teacher agency, self-efficacy, and the supports used when comparing in-person and online teacher-implemented scaffolding. Qualitative results further support findings and describe teachers’ perspective on the change to the environment, adaptations made, and hinderances noted while supporting student learning while online