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Experimental CO2 Breakthrough Analysis of 3D-printed Zeolitic Lattice Beds
Get PDFNoah Agata, North Carolina State University, United StatesJoseph Cesarano, Robocasting Enterprises LLC, United StatesTra-My Justine Richardson, NASA Ames Research Center (ARC), United StatesSajjad Bigham, North Carolina State University, United StatesICES302: Physico-Chemical Life Support- Air Revitalization
Systems -Technology and Process DevelopmentThe 54th International Conference on Environmental Systems was held in Prague, Czechia, on 13 July 2025 through 17 July 2025.Current state-of-the-art packed bed adsorbent systems often
rely on randomly positioned zeolite beads. The random
packing imposes several performance limitations, including
wall channeling, high pressure drop penalties, and poor
thermal transport due to the point-to-point contact between
beads. These attributes limit the performance and
adsorption characteristics of such systems. Here, advanced
3D printing techniques are utilized to enable
next-generation 3D-printed monolithic beds made of zeolitic
structures for space life support systems. Detailed
benchtop experiments are performed to understand the
underlying sorption physics of 3D-printed zeolite lattice
structures, exploring the effect of air velocity on CO2
breakthrough curves. Results indicate, among other
findings, that the absorption rate increases at higher air
velocities. The insights obtained from this study pave the
way for new-generation 3D-printed life support systems that
can be engineered for reliability, performance, and power
consumption
Artemis 3 Lunar Environment Monitoring Station (LEMS-A3) Thermal Control Subsystem Architecture
Get PDFEthan Burbridge, Vertex Aerospace LLC, United StatesJuan Rodriguez-Ruiz, NASA Goddard Space Flight Center (GSFC), United StatesICES102: Thermal Control for Planetary and Small Body
Surface MissionsThe 54th International Conference on Environmental Systems was held in Prague, Czechia, on 13 July 2025 through 17 July 2025.The NASA Artemis 3 Lunar Environment Monitoring Station
(LEMS-A3) instrument will be deployed by the Artemis 3 crew
in the South Pole region of the Moon. LEMS-A3 consists of a
common services bus and two seismometers to be buried in
the regolith, and the instrument has been repackaged to
improve the performance of the bus Thermal Control
Subsystem (TCS). The nighttime heat leak has been reduced
from 3.98 W to 1.528 W, from Engineering Design Unit (EDU)
Thermal Vacuum (TVAC) to the as predicted for the LEMS-A3
Critical Design Review (CDR). This improvement was brought
about by repackaging that reduces surface area for the
Integrated Multi-Layer Insulation (IMLI), optimizing
harness passthroughs including the selection of cryogenic
coaxial cables, selecting an improved differential thermal
expansion heat switch, and redesign of the Launch Lock
(LL). The upgraded configuration enables LEMS-A3 to
continuously operate in and survive the lunar night for a
design life of 24 lunations (approx. two Earth years) to
meet extended-operation mission objectives. This paper
discusses the repackaging, thermal design improvements, and
upgraded thermal hardware
Exploring and Assessing Leadership Competence in Mexican Agricultural Extension: A Borich Model Approach
Get PDFThis study explores and assesses leadership competency among Mexican agricultural extension agents using the Borich Needs Assessment Model. The aim of this study was to determine the Extension agents’ (n = 214) perceived level of importance, knowledge, and training needs for leadership skills. Mean Weighted Discrepancy Scores were calculated to determine training needs. A validated instrument, translated and culturally adapted to Spanish using best practices, was used to assess 57 competencies across nine leadership constructs. Participants’ perceived responses were above average importance for all skills; However, the participants perceived their knowledge of all leadership skills to be average to above average. The results reveal variations in perceived knowledge, with certain skills being rated higher than others.
The five highest-rated training needs for Mexican extension agents include: communicate through public speaking, find ways to encourage farmers to adopt innovations, the ability to persuade farmers to adopt technologies, visualize future extension prospects and problems, and efficiently manage time. While all regions shared a strong need for improved leadership competencies, the specific training priorities varied across Mexico’s agri-food regions. This regional variation highlighted that no single training program can address the needs of all extension professionals uniformly. Instead, region-specific approaches are essential to effectively support the unique agricultural, cultural, and institutional contexts in which agents operate. By recognizing these differences, policymakers and training institutions can design more targeted and relevant leadership development programs. Such tailored efforts will enhance the capacity of extension agents to engage farmers, promote innovation, and contribute to the long-term success and sustainability of agricultural extension services across the country
Assessment of Thermal Management Concepts for Mars Spacesuits Through Materials Research and Simulations
Get PDFAnastasia Natascha Bonidis, University of Stuttgart, GermanyMoritz Weisenfeld, Department of Aerospace Engineering and Geodesy, student, GermanyJustus Goll, Department of Aerospace Engineering and Geodesy, student, GermanyClaas Olthoff, University of Stuttgart, GermanyICES407: Extravehicular Activity: Emerging Space Suit
TechnologiesThe 54th International Conference on Environmental Systems was held in Prague, Czechia, on 13 July 2025 through 17 July 2025.Mars presents a challenging environment for spacesuit
thermal regulation due to its thin atmosphere, fluctuating
temperatures, and exposure to wind and dust. Traditional
Multi-Layer Insulation (MLI) is effective in a vacuum but
does not provide the same thermal properties on a planetary
surface that has an atmosphere; thus, new designs and
materials for Mars-specific spacesuits are needed. This
paper outlines an initial thermal evaluation, focusing on
materials and reflecting on thermal insulation and
mechanical suitability. A database of potential insulators
was developed by evaluating material properties. Among the
results, aerogels emerge as promising candidates for their
thermal insulation performance. However, their limited
flexibility does not meet the mechanical requirements for
spacesuits, making hybrid structures necessary, such as
fiber-reinforced aerogels. To establish a foundation for
future testing, MLI and aerogel test requirements are being
defined and test setups refined under simulated Martian
conditions, with the goal of generating baseline data and
informing further analyses using validated material data in
conjunction with the Virtual Spacesuit (V-SUIT) simulation
tool. Martian weather and environmental conditions were
analyzed to define requirements and boundary conditions for
further modeling. As an outlook, these initial results
provide a foundation for simulations that will be performed
to assess the technical feasibility of proposed materials
and suit designs under Martian surface condition
A Comparative Analysis Demonstrating Infrastructure System, Cost, and Performance Improvement Opportunities Within U. S. Water Infrastructure Systems
No full textAs global concerns regarding water quality and quantity continue to escalate, it is essential to reassess and reconsider alternative approaches to water usage, consumption, and sustainability for future generations. A comprehensive analysis of water infrastructure systems across North America, with a focus on the U.S. states of Georgia and California, reveals opportunities for improvement in mitigating water losses and optimizing utility performance. Utilizing data from the American Water Works Association (AWWA) and guidance from the Water Research Foundation (WRF), this research employs statistical analysis and productivity evaluation to identify variables that positively impact water system sustainability, including water loss and customer cost. The research examines the relationship between system operational performance, productivity, and water losses, highlighting potential areas for improvement in total water output, attempting to minimize water loss. The research methodology involves grouping utility sizes to identify cost opportunities and comparing characteristics of water utilities in California and Georgia. An analysis of partial productivity and total operating productivity reveals that California, despite having stricter water guidance and higher rates compared to Georgia, demonstrates less overall water loss. The results show there is not a direct linear relationship between water loss and productivity. Opportunities for improved governance and funding standardization across the industry are highlighted. Overall, this research aims to contribute to the development of more sustainable and efficient water infrastructure systems by identifying areas of improvement and providing recommendations for optimizing utility performance and minimizing water losses. By exploring the complex relationships between water loss, productivity, and system operational performance, this study provides a comprehensive framework for addressing the global concern of water scarcity and promoting a more water-secure future
Vivian McDermott's MM Violin Recital 2
No full textLECTURE RECITAL: Teaching Strategies for Violin Students
with Autism Spectrum DisorderRelated performance for this degree -- Vivian McDermott's MM Violin Recital 1: https://hdl.handle.net/2346/102325Recital recordings are archival copies for educational purposes only. Members of the TTU community may request to listen/view them for educational purposes via the PDF link to the left
Drawing a Line in the Sand: How the Listing of the Dunes Sagebrush Lizard Has Threatened the Oil and Gas Industry of the Permian Basin
Get PDFThe article argues that the listing of the Dunes Sagebrush Lizard (DSL) under the Endangered Species Act (ESA) poses significant threats to the oil and gas industry in Texas and the United States. It contends that voluntary conservation agreements, such as Candidate Conservation Agreements with Assurances (CCAAs), offer a balanced solution to protect endangered species while maintaining economic stability. The article proposes amending the Internal Revenue Code to provide tax credits to participants in these agreements, incentivizing broader adoption and ensuring the effectiveness of conservation efforts without stifling energy production
Silent Voices, Loud Justice: Ensuring Equal Access to Legal Services for Deaf, [D]eaf, and Hard of Hearing Individuals Student
Get PDFThe article argues that ensuring equal communication access for Deaf, deaf, and hard of hearing individuals in legal settings is critical to upholding their rights under the Americans with Disabilities Act (ADA). It highlights that while existing laws, such as Title II of the ADA, mandate the provision of auxiliary aids, legal professionals often fail to comply, leading to unequal access to justice. The article proposes a legislative solution requiring legal professionals who violate these requirements to complete continuing legal education (CLE) courses to address this systemic issue
Detection and Localization of the FDI Attacks in the Presence of DoS Attacks in Smart Grid
Get PDFSmart grids (SGs) are becoming increasingly complex with the integration of communication, protection, and automation technologies. However, this digital transformation has introduced new vulnerabilities, especially false data injection attacks (FDIAs) and Denial of Service (DoS) attacks. FDIAs can subtly corrupt measurement data, misleading operators without triggering traditional bad data detection (BDD) methods in state estimation (SE), while DoS attacks disrupt the availability of sensor data, affecting grid observability. This paper presents a deep learning-based framework for detecting and localizing FDIAs, including under DoS conditions. A hybrid CNN, Transformer, and BiLSTM model captures spatial, global, and temporal correlations to forecast measurements and detect anomalies using a threshold-based approach. For further detection and localization, a Multi-layer Perceptron (MLP) model maps forecast errors to the compromised sensor locations, effectively complementing or replacing BDD methods. Unlike conventional SE, the approach is fully data-driven and does not require knowledge of grid topology. Experimental evaluation on IEEE 14–bus and 118–bus systems demonstrates strong performance for the FDIA condition, including precision of 0.9985, recall of 0.9980, and row-wise accuracy (RACC) of 0.9670 under simultaneous FDIA and DoS conditions. Furthermore, the proposed method outperforms existing machine learning models, showcasing its potential for real-time cybersecurity and situational awareness in modern SGs.This work was supported by the U.S. Department of Energy (DOE), National Energy Technology Laboratory (NETL)’s Office of Cybersecurity, Energy Security, and Emergency Response (CESER), under Project No. DE-CR0000038