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    Does Chronic Expression of E4orf1 Improve Risk Factors and Cognition Decline in a Mouse Model of Obesity-Associated Alzheimer's Disease?

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    A key pathophysiological factor in obesity, type 2 diabetes (T2D), and Alzheimer's disease (AD) is insulin resistance. Insulin resistance, characterized by hyperglycemia and hyperinsulinemia, contributes to AD by raising AGEs, reducing synaptic plasticity, and enhancing oxidative stress and neuroinflammation. Despite obesity, the novel adenoviral protein E4orf1 enhances glycemic control and protects against the buildup of liver fat independent of insulin. We hypothesize that E4orf1 will slow the onset and progression of AD by improving insulin-related risk factors. In an older AD mouse model, we previously demonstrated that E4orf1 improves metabolic function and cognition. Here, we used an obesity-related transgenic mouse model of AD that expressed E4orf1 protein specifically in adipose tissue upon doxycycline feeding. Following baseline systemic (body weight, EchoMRI, oral glucose tolerance test, insulin, hemoglobin A1c) and behavioral (Y-maze and Morris Water Maze (MWM)) analyses, mice aged four to six months were given a 60% high-fat diet. These mice were classified as WT (n=20), APP/PS1 (n=14), and APP/PS1 expressing E4orf1 (n=11). A cohort of mice was sacrificed, and investigations were conducted again four months later. The remaining animals were sacrificed after the analyses were repeated eight months later. Western blot and RT-qPCR were used for molecular pathway analysis in the brain, liver, and adipose tissue. ELISA was used to assess biomarkers from plasma samples. Despite a high-fat diet, E4orf1 expression significantly decreased HbA1c, decreased endogenous insulin needs for glucose clearance, reduced body weight, and improved habituation and spatial memory in Y-Maze and MWM tests, even though APP/PS1 mice are prone to AD. E4orf1 downregulated the expression of genes involved in triglyceride synthesis, fatty acid transport, fat oxidation, and lipogenesis in the liver. It significantly upregulated genes linked to fatty acid transport, β-oxidation, and TG production in adipose tissue. E4orf1 had no distinct impact in the brain, indicating that it has no direct effect on the brain. However, as demonstrated by a decrease in plasma Aβ concentration, E4orf1 markedly decreased the peripheral amyloid beta (Aβ) burden. AD currently has no known cure, and the only treatments available are symptom management. E4orf1 can be a potential drug candidate to serve as an insulin-independent agent for AD

    Establishing an Oceanic Environment in Space: A “Core-Biome” for Isolated Ecosystems

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    Miu Shimizu, Kyoto University GSAIS, JapanFumihiko Nagata, Aquarium Management Center, Okinawa Churaumi Aquarium, Okinawa Churaumi Foundation, JapanYosuke Yamashiki, Kyoto University GSAIS, JapanICES500: Life Science/Life Support Research TechnologiesThe 54th International Conference on Environmental Systems was held in Prague, Czechia, on 13 July 2025 through 17 July 2025.This study aims to establish an oceanic environment suitable for space as a critical component of the terrestrial ecosystem, termed the "Core-Biome." The Core-Biome represents an essential habitat for supporting human life in isolated environments. Among terrestrial ecosystems, the ocean remains the last frontier to be replicated in space due to the following challenges; difficulties in managing saline water in closed systems it is unsuitable for direct consumption or agricultural irrigation, challenges in maintaining water quality, essential for cultivating aquatic organisms, and the complexity of identifying primary producers within the ocean ecosystem. In our study, we aim to cultivate corals in a closed ecosystem by introducing three distinct species: Porites cylindrica (a common species found in the Okinawa region), Acropora tenuis (known for its thin branches and resilience to shock compared to other Acropora species), and Acropora intermedia (a branching Acropora species commonly found near Iriomote Island). We established a closed aquarium system where water is recycled using a protein skimmer and a calcium reactor, with partial water replacement when necessary. Growth rates for each coral species were measured under controlled conditions, maintaining a uniform temperature of 27°C and a diurnal light cycle. Dissolved oxygen levels were sustained solely through photosynthesis by coral-associated zooxanthellae. The material balance, optimal growth conditions, and key findings from this study will be presented at the conference

    Essays in Health and Labor Economics

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    This dissertation aims to examine the effects of economic and policy factors on individual health and labor market outcomes using micro level data from the United States. Study one examines the effects of state level minimum wage changes alongside Medicaid expansion, as part of the Patient Protections and Affordable Care Act, on an individual's decision to invest preventative healthcare and mental health. Through the use of a continuous difference in difference model it finds that minimum wages improve mental health for both males and females. In addition, it finds that Medicaid expansion leads to an increased prevalence in annual checkups and annual flu shot adherence for both genders as well. Study two examines the effects of state level minimum wage changes on infant birth outcomes of younger and older mothers. Through the use of a continuous difference in difference model with a rich set of control variables including demographics, birth characteristics, insurance coverage and state-year time fixed effects it finds mixed results across mothers of different age ranges. It finds that minimum wages have limited effects on decreasing adverse birth outcomes for teenage mothers, but show a larger impact for older mothers in their twenties and thirties on Medicaid. Finally, study three examines the demographic makeup of both discouraged and marginally attached workers over a thirty year time period from 1994 - 2024. It finds that the proportion of these workers with less than a high school diploma has been decreasing, while the proportion with a high school diploma or GED as their highest level of education has been increasing. It also finds that a slightly larger proportion of marginally attached workers report being male. These three studies aim to closely examine the effects that different policies, economic factors, and demographic characteristics have on health and labor market outcomes

    Status of the Advanced Oxygen Generation Assembly

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    Kevin Takada, National Aeronautics and Space Administration (NASA), United StatesAllen Williams, Leidos, United StatesDavid Hornyak, National Aeronautics and Space Administration (NASA), United StatesJohn Garr, National Aeronautics and Space Administration (NASA), United StatesSteven Van Keuren, S&K Global Solutions, Inc., United StatesOmoniyi Obashe, The Boeing Company, United StatesAbdelrahman Elsherbini, Collins Aerospace (an RTX Business), United StatesChristopher Williams, Amentum, United StatesJackson Kinney, Amentum, 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.Future Exploration missions will require an Oxygen Generation Assembly (OGA) to electrolyze water to supply oxygen for crew metabolic consumption. The system design will be based on the International Space Station (ISS) OGA but with added improvements based on lessons learned during ISS operations and technological advances since the original OGA was designed and built. The goal of these improvements will be to reduce spares mass and crew maintenance time while increasing reliability. These improvements will be incorporated into the Advanced OGA (AOGA), which will be launched to ISS in 2026 and its operation demonstrated in a relevant flight environment for at least 3 years. AOGA upgrades include: redesign of the electrolysis cell stack, redesign of the hydrogen dome, replacement of the hydrogen sensors, redesign of the recirculation loop deionizing bed, and incorporation of recirculation loop nitrogen purging and water flushing. AOGA design reviews, analyses, and development tests are now complete. Currently, AOGA flight hardware components are being manufactured. The design, build and plans for the AOGA will be reviewed in this paper

    Developing Photobioreactors for Microalgae Cultivation on the Moon – Technical Challenges, Research Plan and First Steps

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    Lina Salman, Technical University of Munich, GermanyGisela Detrell, Technical University of Munich, GermanySergio Santaeufemia, Technical University of Munich, GermanyFabio Schäfer, Technical University of Munich, GermanyICES204: Bioregenerative Life SupportThe 54th International Conference on Environmental Systems was held in Prague, Czechia, on 13 July 2025 through 17 July 2025.Space agencies and commercial companies aim to go back to the Moon with the objective to eventually stay and build a permanently crewed lunar settlement. As these plans move forward, the need for sustainable life support systems that promote recycling and reduce resupply missions from Earth will become increasingly important. Among potential solutions, microalgae offer a promising approach to closing the loop due to their photosynthetic capabilities and efficient cultivation in photobioreactor (PBR) systems. While PBR systems to cultivate microalgae on Earth are being optimized for terrestrial gravity, these systems require significant adaptation for lunar application to ensure efficient algae cultivation for a long-term and large-scale human settlement. Cultivating microalgae in the lunar environment presents substantial challenges due to the Moon’s unique environmental conditions, such as reduced gravity, and mission related requirements, such as reduced crew time and limited resources. Therefore, this paper aims to provide a research plan on how to overcome the technical challenges involved in designing a PBR suitable for long-term and large-scale lunar habitats. Consequently, the technical challenges of the PBR and its subsystems regarding the integration and use in a large-scale lunar base are analyzed in this paper. Based on that, a research plan by the Professorship of Human Spaceflight Technology at the Technical University of Munich is outlined, which aims at developing a lunar-gravity adapted PBR system for a long-term and large-scale crewed lunar base. Initial efforts in developing the PBR system with its corresponding subsystems are presented and discussed. The proposed research activities and initial efforts represent a critical step towards developing a viable and efficient PBR system that supports a long-term and large-scale human base on the Moon

    Episode 6: What It Means to Be Pro-Life.

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    Optimization and Application of LC-MS/MS Techniques for Characterizing Glycans, Proteins, and Metabolites in Complex Biological Samples

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    Proteomics is a large-scale study of proteins within a cell, tissue, or organism under specific physiological conditions. It involves analyzing protein expression, structure, functions, interactions, and modifications, providing critical insights into biological regulation in both health and disease. As a key component of disease biomarker research, proteomics is particularly important for understanding complex disorders. Among post-translational modifications, glycosylation is one of the most prevalent and functionally significant, influencing protein stability, signaling, immune responses, and cell-cell interactions. Aberrant glycosylation patterns are associated with various diseases, including neurodegenerative disorders and cancers, where specific glycan and glycopeptide isomers serve as potential biomarkers. Metabolomics, the study of small-molecule metabolites involved in cellular processes, complements proteomics by offering a snapshot of an organism’s physiological state. As part of the multi-omics framework, metabolomics follows the genome, transcriptome, and proteome, providing a comprehensive view of disease progression and metabolic regulation. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) is a powerful analytical platform for characterizing proteins, glycoproteins, glycans, and metabolites, offering high sensitivity and resolution. This dissertation presents advancements in LC-MS/MS methodologies to enhance biomolecular characterization. A FAIMS-assisted approach was developed to improve the separation of permethylated glycan isomers, while mesoporous graphitized carbon (MGC) chromatography combined with ultraviolet photodissociation enabled enhanced structural characterization of glycopeptide and glycan isomers. Additionally, an isotopic labeling strategy was established to facilitate the simultaneous analysis of up to sixteen glycomics samples in a single run. A label-free, bottom-up proteomics workflow was optimized and applied to investigate the cognitive and cardiovascular effects of antidiabetic drugs, including DPP4 and SGLT2 inhibitors, in type 2 diabetes patients with mild cognitive impairment. Furthermore, comprehensive serum metabolomics profiling of narcolepsy type 1 (NT1) patients was conducted to identify potential disease markers. By integrating advanced LC-MS/MS techniques into proteomics, glycomics, and metabolomics research, this work contributes to biomarker discovery, disease characterization, and therapeutic development, reinforcing the critical role of multi-omics approaches in modern biomedical science

    A cultural adaptation of Tinto’s student integration theory in undergraduate students of a private university in Colombia

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    Dropout in higher education is a phenomenon of interest in both developed and developing countries; therefore, it is highly relevant to validate models that seek to explain it. This study aimed to determine the risk of dropping out in the first year using Tinto’s integration model, which incorporates students’ entry characteristics and aspects of institutional commitment and academic and social integration (SI) in the university environment. A prospective cohort study was conducted with 563 students enrolled in the 2019-1 and 2019-2 cohorts. Entry variables (demographic, socioeconomic, family and psychosocial) were measured, as well as the constructs of institutional commitment, academic and SI at two points in time, and dropout in the first year. Confirmatory factor analysis (CFA), factorial invariance over time, and structural equation modeling (SEM) were performed for the analyses. Family and psychosocial variables best explained the initial commitment of students. The initial commitment had significant effects on academic and SI, as well as on the subsequent commitment of the student, which, in turn, had a significant effect on the decrease in dropout rates. In conclusion, Tinto’s model was supported for explaining the dropout rate in Colombian university students, suggesting that beyond the student’s entry attributes, the interactions the student has with the academic and social system are critical to retention

    Martian Exploration Portable Life Support System Schematic Study

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    Dana M. Lobmeyer, Amentum, United StatesMadeleine Oliver, Amentum, United StatesEmma J. Quick, Amentum, United StatesOlivia J. Lawson, Amentum, United StatesLawrence W. Barrett, Amentum, United StatesBruce C. Conger, Amentum, United StatesCinda Chullen, NASA Johnson Space Center (JSC), United StatesColin Campbell, NASA Johnson Space Center (JSC), United StatesICES402: Extravehicular Activity: PLSS SystemsThe 54th International Conference on Environmental Systems was held in Prague, Czechia, on 13 July 2025 through 17 July 2025.The Mars environment poses unique challenges for portable life support system (PLSS) technologies supporting extravehicular activities (EVA) that necessitate modifications to the NASA baseline exploration PLSS (xPLSS) design. This work details a landmark schematic study conducted to identify and recommend the most promising Martian Exploration PLSS (mxPLSS) architectures for consideration and further evaluation. Conducted from January 2024 to September 2024, the study began with a blank sheet approach to pinpoint technologies that could potentially satisfy each mxPLSS major function. A comprehensive list of over 80 technologies was compiled. These technologies were filtered down based on mxPLSS guidelines established during the project and a preliminary equivalent system mass (ESM) analyses under nominal Martian environmental conditions. By considering only unique combinations of the most feasible technology options, seven mxPLSS schematics with the lowest overall mass were identified. Evaluation and comparison of each schematic was subsequently performed using a newly developed PLSS sizing tool: the Guided Utility Sizer (GUS). This paper summarizes the study approach, schematic selection process, and final assessment that culminated in three different schematic recommendations. Recommended mxPLSS schematics are described relative to the vehicle architecture they would require

    Development of the Crew State and Risk Model for Autonomous Biomedical Physiology State Monitoring and Prediction During Exploration Extravehicular Activities

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    Bradley T. Hoffmann, KBR, United StatesKyoung Jae Kim, KBR, United StatesDillon Frisco, JEStech, United StatesLori Cooper, JEStech, United StatesCrystal Kirkley, NASA Ames Research Center (ARC), United StatesAlejandro Garbino, GeoControl Systems, United StatesKarina Marshall-Goebel, NASA Johnson Space Center (JSC), United StatesDaniel Buckland, NASA Johnson Space Center (JSC), United StatesICES513: Human Health and Performance AnalysisThe 54th International Conference on Environmental Systems was held in Prague, Czechia, on 13 July 2025 through 17 July 2025.NASA has completed hundreds of microgravity spacewalks or extravehicular activities (EVA) over multiple decades and spaceflight programs. During the Apollo program, only 14 EVAs were conducted on the surface of the moon. The Artemis program aims to return to the moon for sustained human presence necessitating a new paradigm of surface EVA operations. Current microgravity EVAs and planned Artemis surface EVAs will rely on ground operations teams with near real-time communication (i.e., 10-15 seconds roundtrip delay); however, future Mars exploration will require crew to conduct EVAs at a full level of autonomy. The Crew State and Risk Model (CSRM) is being developed to enable autonomous biomedical support through monitoring and predicting crewmember physical and cognitive state during EVA. The CSRM is a collection of seven core EVA physiology domains and are developed using empirical data modeling approaches. Each model subcomponent is developed and tested as crew member individualized models from EVA training analog data. The metabolic energy model estimates metabolic rate profiles from expected planetary EVA tasks. Levels of carbon dioxide (CO2) inspired within a suit are estimated through the inspired CO2 model. The human thermal regulation model predicts core body temperature and heat storage at < 3% error. The fatigue model estimates time and probability to physical exhaustion while EVA task performance predicts cognitive effectiveness and vigilance. Metabolic cost due to suited ambulation along an EVA path is generated using the traverse model. Hydration and nutrition status are predicted using the hydration, nutrition, and waste management model for readiness and recovery. Finally, the decompression sickness (DCS) model estimates risk and sensitivity to DCS based on mission profiles. Wholistically, CSRM predicts states through physiology determinants of performance between model interactions. This paper presents the architecture of the CSRM and details individual model development and proficiency in predictions of EVA physiology

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