Digital Commons Network^™

Mgrre_Thinsections_Mgrre-101_8, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-101_9, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-101_7, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-101_11, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-101_13, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-101_10, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-101_12, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-101_15, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-101_18, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-101_16, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-101_19, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-101_17, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-101_21, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-101_25, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-101_22, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-102_2, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-101_24, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-102_3, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-102_6, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-102_9, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-102_8, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-102_7, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-102_14, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-102_13, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-102_11, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-102_15, Mgrre

Thin Sections

No abstract provided.

Submittal Of Mixed Waste Landfill Annual Long-Term Monitoring & Maintenance Report, April 2025-March 2026 For Sandia National Laboratories/New Mexico, Epa Id Number Nm5890110518, June 2026, Sandia National Laboratories/Nm

Facilities-Units

The Department of Energy/National Nuclear Security Administration (DOE/NNSA) and Sandia National Laboratories /New Mexico (SNL/NM) personnel submitted the Mixed Waste Landfill (MWL) Annual Long-Term Monitoring and Maintenance Report for the April 2025 through March 2026 reporting period to the New Mexico Environment Department (NMED) in accordance with the MWL Long-Term Monitoring and Maintenance Plan (LTMMP) Section 4.8.1. The LTMMP became effective on January 8, 2014.

The MWL is a 2.6-acre Solid Waste Management Unit (SWMU 76) located in the north-central part of Technical Area III at SNL/NM that has undergone corrective action. As of March 13, 2016, the NMED February …

Bringing The Focus Of Curriculum Back To The Students And What Does This Look Like For Teachers, Gabriella Anaya

University Honors Theses

As a future ELA teacher, I was curious about how the books students read influence their learning. Specifically, I wondered: How does letting students choose their own books impact reading comprehension outcomes? Studies suggest that the reading materials were not necessarily what we should be focusing on, rather the teaching methodology and how it implements reading materials. The key methodology that contributed to reading comprehension improvement was instilling motivation in students by fostering student autonomy over their own learning in the classroom. This is the main idea in which my research concentrates on connecting research on reading comprehension with practical …

An Exploratory Latent Segmentation Approach To Account For Temporally Shifting Parameters In Driver Injury-Severity Models, Tanmoy Bhowmik, Shahrior Pervaz, Fred Mannering, Naveen Eluru

Civil and Environmental Engineering Faculty Publications and Presentations

Temporally shifting parameters in crash severity modeling is a well-documented phenomenon, with growing evidence suggesting that the influence of explanatory variables changes over time due to shifts in driver behavior, vehicle technology, and roadway conditions. Many studies have examined this issue by comparing the temporal stability of adjacent-year data using a variety of modeling frameworks that have often assumed a homogenous effect of explanatory variables across the entire crash population. The current research effort departs from past work in two ways. First, it compares data separated by multiple years (instead of comparing adjacent years), and second, it tests the homogeneous …

Evidence Brief: Shifting Attitudes And Social Norms On Fgm Through Community-Based Interventions In Somaliland, Stella Muthuri, Dennis Matanda, Francis Obare, Stephen Kizito, Chi-Chi Undie

Sexual and Reproductive Health, Rights, and Choices

This study, conducted in Sool and Sanaag regions of Somaliland within the context of The Girl Generation Support to the Africa-Led Movement (TGG-ALM), provides insights into how community-based, dialogue-driven interventions influence attitudes, social norms, and behavioural intentions related to FGM and gender.

Findings show that while personal opposition to FGM is relatively high, this does not consistently translate into perceived or collective opposition. Individuals tend to view their own attitudes as more progressive than those of their families and communities, pointing to a critical “norms misalignment” that constrains behaviour change. This gap suggests that entrenched social expectations – particularly around …