Digital Commons @ Texas A&M University-San Antonio
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Edward\u27s Aquifer
No full textWe have sampled different rivers that are described as gaining rivers because they receive recharge from the Edwards and Trinity aquifers. This research is being conducted to understand how various metals made their way into the system, either through natural or anthropogenic processes. Edwards Aquifer is highly vulnerable to various containments from pesticides and urban life. The main goal of researching the surface water systems is to understand and use chemical proxies to track contaminants into these rivers. Throughout 2024, samples of surface water were collected from different sections of the Nueces and Sabinal Rivers in which alkalinity, conductivity, and pH were analyzed to measure various contaminations and its effect on river water quality
Inverte-Quest: Empowering Field Research Through Mobile Photo Identification
No full textAquatic invertebrates serve as critical bioindicators of freshwater ecosystem health, yet their accurate field identification remains a significant challenge for researchers and students. We are pleased to introduce Inverte-Quest, a mobile application designed to facilitate the identification and recording of invertebrates through in-situ photo identification. This application utilizes advanced deep neural networks, incorporating SAM AI for image masking alongside ResNet PyTorch for species classification. Our database features 13 commonly encountered freshwater invertebrate species, including mayflies (Baetidae, Caenidae), caddisflies (Cheumatopsyche, Hydropsyche), and beetles (Berosus, Elmidae). Images are securely stored in Pinata cloud storage and processed using various parameters, such as wingspan, tail length, and eye characteristics. Through the integration of mobile technology and machine learning, Inverte-Quest provides an accessible platform for aquatic invertebrate identification, supporting both research efficiency and educational initiatives in freshwater ecosystem monitoring
Student Hiring at Universities and Community Colleges: Meeting the Needs of Students and Graduates with Careers in HIgher Education
No full textCareers in of Higher Education and Marketing States Higher education colleges and universities incorporate many strategies to increase student enrollment and brand recognition. Such marketing strategies are used to convey a brand image to potential students, stakeholders and business partnerships. For such a result to be achieved an organization must have organizational leadership that cares about the results of the student, alumni and faculty. A marketing strategy is a strategy that is used to inform a message. For higher education, a marketing strategy of an education brand message should be something that welcomes educational learning and educational wellbeing. I have researched ways to apply my research to achieve an academic method of leadership
NETWORK ANALYSIS OF ANTIMICROBIAL RESISTANCE IN STAPHYLOCOCCUS AUREUS: CHARACTERIZATION OF HUB GENES AND THEIR FUNCTIONAL IMPLICATIONS
No full textAntimicrobial resistance is a major cause of morbidity and mortality in patients with S. aureus infections. In this study, we analyzed genes, molecular mechanisms, and pathways driving drug resistance in S. aureus using network analysis. Using whole-genome sequencing (WGS) data and systems biology approaches, we identified 229 AMR-associated genes and constructed a protein-protein interaction network among these genes. Through network topology and functional enrichment analyses, we not only confirmed their association with resistance, but also highlighted the central roles of these genes in resistance pathways, such as efflux, target replacement, and target protection, which are directly linked to multiple drug classes. This work demonstrates how combining genomics, network analysis, and system biology approaches can aid in identifying specific genes that warrant consideration for future examination. This approach supports broader efforts to mitigate antibiotic resistance by focusing on the most impactful targets, contributing to the design of targeted treatments and improved management strategies
Impacts of Land Development on Soil Microdiversity and Antibiotic Production
Get PDFThe impact of land development on soil microbial diversity and antibiotic production is critical due to industrial expansion and the scarcity of effective antibiotics. Low Impact Development (LID) aims to preserve ecosystems, but its effectiveness in maintaining microbial diversity is uncertain. This study compares soil samples from nine sites: undisturbed (UD), residential (RD), and Madla Greenway (GW) within the VIDA development area and Texas A&M University-San Antonio campus. Isolated microbes were screened for antibiotic production and genetically characterized. Preliminary findings indicate that UD sites harbor greater microbial abundance, and a higher proportion of antibiotic-producing microbes compared to GW and RD sites. However, microbial characterization reveals that RD and GW sites exhibit greater diversity, suggesting that disturbance may introduce new microbes into the environment, increasing diversity while reducing overall abundance and the prevalence of antibiotic-producing microbes. These findings suggest that while LID helps preserve microbial communities, it does not maintain them at the same level as undisturbed environments
Union Stock Yards San Antonio
No full textThe Union Stock Yards San Antonio was a livestock exhchange that existed from 1889 until 2001. The collection contains records pertaining to the history of the livestock market, as well as related businesses and industry partners.https://digitalcommons.tamusa.edu/findingaids/1178/thumbnail.jp
Robert H. Thonhoff Collection, 1839-2013
No full textThe Robert H. Thonhoff Collection consists of research materials, newspapers, writings, artifacts, printed items, and published works representing the personal and professional activities of the Texas author, historian, teacher, and judge. The Collection also includes the papers of Thonhoff’s colleagues, fellow historians and authors: John Ogden Leal, Eric & Conchita Beerman, Ron Higginbotham, Maurice Ballard, Robin Ellis, Granville W. Hough, and Sr. Jose Ignacio Vasconcelos.
Much of the materials and research within the collection are photocopies.https://digitalcommons.tamusa.edu/findingaids/1179/thumbnail.jp
Exploring the Integration of Artificial Intelligence in Math Education: Preservice Teachers’ Experiences and Reflections on Problem-Posing Activities With ChatGPT
No full textThis study addresses the need for research that incorporates educational perspectives and theories to understand the impact of Artificial Intelligence (AI) on learning and teaching. Utilizing AI-integrated mathematical problem-posing (AIM) activities and the AI-powered scaffolding (AIS) strategy, the research investigated preservice teachers’ (PTs’) experiences with AI and their capacity for error recognition and correction in problems posed by ChatGPT. The findings reveal that while the PTs excelled at verifying error-free problems, they struggled significantly with identifying and correcting errors, indicating a gap in their instructional preparedness. The study demonstrates that AIM activities are effective tools for assessing and developing PTs’ error recognition and correction skills. Additionally, AIM activities support the transfer of mathematical knowledge to pedagogical and instructional practices, contributing to PTs’ growth as adaptable educators. The research highlights the need to integrate AI-based activities into PT training to build robust mathematical knowledge and teaching skills. Focusing on learning, pedagogy, and the human aspects of technology use, AIM activities and the AIS strategy enable PTs to engage critically with AI outputs and enhance their metacognitive skills. These insights emphasize the importance of incorporating AI-integrated methods into teacher preparation programs to better equip future educators for an AI-driven educational landscape
Air Emissions from Combustion and Incineration Processes: Insights into Air Quality and US EPA Regulations
No full textThe escalating global generation of waste necessitates robust and environmentally sound management strategies. Among these, combustion and incineration processes play a crucial role in waste volume reduction and energy recovery. Nevertheless, these thermal treatment methods are significant sources of atmospheric pollutants, impacting air quality and public health. This review systematically examines air emissions from four major incineration types regulated under the U.S. Environmental Protection Agency’s (EPA) Clean Air Act (CAA) Sects. 111 (New Source Performance Standards [NSPS]) and 129 (National Emission Standards for Hazardous Air Pollutants [NESHAP]). These categories include Large Municipal Waste Combustors (LMWC), Hospital/Medical/Infectious Waste Incinerators (HMIWI), Commercial and Industrial Solid Waste Incineration (CISWI), and Sewage Sludge Incineration (SSI). This paper details the characteristic air pollutants emitted from these processes, evaluates the effectiveness of current air pollution control (APC) technologies, and compares emission concentrations and efficiencies across these systems and against global standards. This review highlights emerging pollutants, unregulated precursors, and persistent challenges related to insufficient emission controls during startup and shutdown phases. Furthermore, the review critically analyzes existing regulatory inconsistencies and blind spots within the U.S. framework. It also includes a discussion on public perception, co-incineration practices, and future research needs. This comprehensive analysis aims to clarify regulatory inconsistencies under U.S. EPA frameworks, identify persistent blind spots in emission control practices—particularly during startup and shutdown phases—and highlight emerging pollutants that remain unregulated, thereby supporting more targeted policy development and advanced emission mitigation strategies
Valuation Driven Innovation
No full textThis paper examines whether and how market valuation influences firm innovation, using an ex ante valuation measure that filters firm size and growth prospects from tangible investment. Specifically, by utilizing the National Bureau of Economic Research (NBER) patent database, I find that firms with high market valuations generate more innovative outputs, as measured by the number of patents and patent citations. Causality is established using mutual fund flows as an exogenous shock, demonstrating a strong effect of market valuation on firm innovation. Consistent with the idea that managers take advantage of irrationally low discount rates by issuing equity and investing the proceeds, these results are more pronounced among firms with high financial constraints and overvaluation. The sensitivity of innovative output to market valuation varies with equity market timing and sentiment, but is not affected by whether or not firms are issuing equity