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Archaeological Monitoring of Ben Milam Grave Stabilization at Milam Park (41BX922), San Antonio, Bexar County, Texas
(Center for Archaeological Research, The University of Texas at San Antonio, 2024-08-28) Hefner, Amber; Carpenter, Michelle
On March 20 and April 9, 2024, the Center for Archaeological Research (CAR) at The University of Texas at San Antonio (UTSA) conducted archaeological monitoring at Milam Park (41BX992) in San Antonio, Bexar County, Texas. The monitoring was performed in response to a request from the City of San Antonio (COSA) Parks and Recreation Department for the stabilization of the Ben Milam Statue, located in Milam Park. At a municipal level, the project falls under the Unified Development Code of COSA, and the COSA Office of Historic Preservation. In addition, projects conducted on public land are subject to the Texas Antiquities Code and require review by the Texas Historical Commission. Consequently, the work was conducted under Texas Antiquities Permit No. 31669. Cynthia Munoz served as Principal Investigator on the project and Amber Hefner served as Project Archaeologist.
Excavation at the Milam Grave consisted of removal of damaged concrete at a sub-base level. Excavations were approximately 18 cm deep and were limited to the layer of sand previously imported for the Milam Grave statue. The size of the project area is less than one acre. No cultural features or artifacts were encountered during the monitoring. All records generated during this project were curated at CAR in accordance with THC guidelines. They are available under accession number 2899.
Overlap and Interrelations Between (Im)mobility Motivations
(SAGE Publications, 2024-09-02) Riosmena, Fernando
Scholarship in Migration Studies and Forced Migration and Refugee Studies recognizes that migration and immobility can be the result of various, mixed motivations. Empirical work and conceptualizations of forced and “lifestyle” migration consider some of this complexity. Scholarship on immobility has also examined various, mixed motives. Finally, migration theory development has recently begun to incorporate various “non-economic” motivations, mainly into frameworks originally aimed at tackling economic/labor migrations, mainly integrating force and/or environmental factors. However, efforts to conceptualize and theorize on how and why motivations overlap or are interrelated (positively or negatively) are more scant, less explicit, and less systematic. In this paper, I provide a broad systematic taxonomy of migration and immobility motivation overlap and interrelation. First, I describe the six main (im)mobility motivations discussed in the literature—namely economic, labor-related, safety-related, environmental, family-related, and related to self-fulfillment—organizing them around the degree to which they are driven by extrinsic and/or intrinsic rewards and costs. Second, I provide a general typology of possible ways in (im)mobility motivations become “alternative” to and/or concurrent with each other, and how these instances operate at individual and/or population levels. Third, I examine how the different motivations fit within three important theories of micro-level decision-making in the literature, exploring different points of overlap and interrelation between mechanisms within and across analytical perspectives. I conclude discussing the potential implications of this motivation integration.
Test Review: Tests of Dyslexia–Comprehensive (TOD-C)
(SAGE Publications, 2024-08-14) Peña, Laura M.; Villarreal, Victor
This article reviews the administrative and psychometric properties of the Tests of Dyslexia–Comprehensive (TOD-C). The TOD-C is part of the multi-battery Tests of Dyslexia (TOD), which also includes a screener and separate test for young children. The TOD-C measures reading, spelling, and linguistic characteristics of dyslexia. The TOD-C also includes tests of vocabulary and reasoning.
Learning from the pandemic: School counsellor experience during the pandemic in the United States
(SAGE Publications, 2024-08-13) Behl, Malvika; Green, Leigh; Garcia, Elizabeth; Laux, John
The COVID-19 pandemic affected the education sector worldwide; forcing a transition from face-to-face to a virtual environment and impacting the role of educators in schools. Like others, school counsellors transitioned to a virtual role, changing their approach to counselling. The purpose of this mixed methods study using a sample of 163 certified, licensed school counsellors in the United States and its territories, was to understand how the pandemic affected their roles and responsibilities. Data was collected using an online survey. Not surprisingly, results showed a marked increase in the number of direct counselling services (e.g. individual and group counselling, student academic planning and crisis response) delivered online. However, the findings indicated a lack of confidence and training amongst participants when delivering counselling online. Participants discussed feeling overwhelmed to effectively advocate for themselves to deliver school counselling services in a virtual setting. Qualitative data illustrated the different ethical concerns school counsellors faced. The school counsellor experience, both positive and negative, and recommended changes in policies and training requirements at the local, state and national levels and implications for curriculum for counsellor education programmes, are discussed.
Characterization of Trabecular Bone Microarchitecture and Mechanical Properties Using Bone Surface Curvature Distributions
(2024-08-22) Xiao, Pengwei; Schilling, Caroline; Wang, Xiaodu
Understanding bone surface curvatures is crucial for the advancement of bone material design, as these curvatures play a significant role in the mechanical behavior and functionality of bone structures. Previous studies have demonstrated that bone surface curvature distributions could be used to characterize bone geometry and have been proposed as key parameters for biomimetic microstructure design and optimization. However, understanding of how bone surface curvature distributions correlate with bone microstructure and mechanical properties remains limited. This study hypothesized that bone surface curvature distributions could be used to predict the microstructure as well as mechanical properties of trabecular bone. To test the hypothesis, a convolutional neural network (CNN) model was trained and validated to predict the histomorphometric parameters (e.g., BV/TV, BS, Tb.Th, DA, Conn.D, and SMI), geometric parameters (e.g., plate area PA, plate thickness PT, rod length RL, rod diameter RD, plate-to-plate nearest neighbor distance NNDPP, rod-to-rod nearest neighbor distance NNDRR, plate number PN, and rod number RN), as well as the apparent stiffness tensor of trabecular bone using various bone surface curvature distributions, including maximum principal curvature distribution, minimum principal curvature distribution, Gaussian curvature distribution, and mean curvature distribution. The results showed that the surface curvature distribution-based deep learning model achieved high fidelity in predicting the major histomorphometric parameters and geometric parameters as well as the stiffness tenor of trabecular bone, thus supporting the hypothesis of this study. The findings of this study underscore the importance of incorporating bone surface curvature analysis in the design of synthetic bone materials and implants.