North Carolina Agricultural and Technical State University
North Carolina Agricultural and Technical State University: NC A&T SU Bluford Library's Aggie Digital Collections and ScholarshipNot a member yet
9765 research outputs found
Sort by
Block copolymer-mediated synthesis of TiO2/ RuO2 nanocomposite for Efficient Oxygen Evolution Reaction
No full textAn amphiphilic block copolymer, poly (styrene-2-polyvinyl pyridine-ethylene oxide), was used as a structure-directing and stabilizing agent to synthesize TiO2/RuO2 nanocomposite. The strong interaction of polymers with metal precursors led to formation of a porous heterointerface of TiO2/RuO2. It acted as a bridge for electron transport, which can accelerate the water splitting reaction. Scanning electron microscopy, energy-dispersive X- ray spectroscopy, transmission electron microscopy, and X-ray diffraction analysis of TiO2/RuO2 samples revealed successful fabrication of TiO2/RuO2 nanocomposites. The TiO2/RuO2 nanocomposites were used to measure electrochemical water splitting in three- electrode systems in 0.1-M KOH. Electrochemical activities unveil that TiO2/RuO2-150 nanocomposites displayed superior oxygen evolution reaction activity, having a low overpotential of 260 mV with a Tafel slope of 80 mVdec−1https://digital.library.ncat.edu/gradresearchsymposium25/1107/thumbnail.jp
Evolutionary Adaptation of T7 Bacteriophage to Silver Ion Exposure: Implications for AMR Mitigation
No full textAntimicrobial resistance (AMR) remains a significant global concern, prompting increased exploration of alternative treatments such as bacteriophages and metals like silver ions. While these agents exhibit strong antimicrobial properties, the environmental accumulation of silver nanoparticles raises questions about their influence on microbial and phage evolution. This study examines how T7 bacteriophage adapts to high concentrations of silver ions through experimental evolution. For over 15 generations, ten independent T7 lineages were repeatedly exposed to elevated silver ion levels in Escherichia coli B cultures. The results showed that T7 bacteriophage developed resistance to silver ions, which also enhanced its infectivity of E. coli B. Genomic analysis revealed key mutations, particularly in the tail fiber protein gene (T7P52) and major head protein gene (T7P44), driving these adaptations. The tail fiber is an essential feature that determines the host range and aids the tail in attaching bacteriophage to the host. The major head proteins are essential in virion assembly and release from the bacteria host. These findings highlight the evolutionary flexibility of bacteriophages under selective pressure and suggest potential applications for phage engineering in AMR mitigation efforts.https://digital.library.ncat.edu/gradresearchsymposium25/1111/thumbnail.jp
Extreme Climate Variability over East Africa
No full textEast Africa, located approximately within 15S-10N and 20E-55E, comprises parts of Ethiopia & South Sudan, eastern half of Democratic Republic of Congo, Uganda, Somalia, Kenya, and Tanzania. The region is characterized by complex topography including the Great East African Rift Valley, inland lakes and larger river systems. As a low-latitude region, the region receives its annual rainfall in one or two rain seasons: namely March-May, October, November or December-February. This study aims to analyze extreme climate variability as expressed by extreme rainfall and extreme droughts during the March-May season. We investigate variability by comparing a very wet and a very dry season during 2024 and 2022, respectively. Millions of people across East Africa were affected by the lack of rain and crop yield failure during 2022. The wet season in 2024 that resulted in flooding and associated crop and agricultural land damage will be compared with the drought year in 2022. Mechanisms that influence extremes will be studied. Additionally, extreme conditions associated with tropical cyclones such as Hidaya and Ialy will be investigated, and the impacts will be assessed.https://digital.library.ncat.edu/gradresearchsymposium25/1119/thumbnail.jp
Machine Learning-based Intrusion Detection and Explainable AI in IoT Networks
No full textMachine learning-based intrusion detection systems (IDS) are one of the most vital and widely used defenses for Internet of Things networks. However, the ever-changing landscape of cyberattacks and the lack of explainability of most ML and deep learning methods leaves these systems vulnerable to intrusions, inaccuracies, compromised data, and new attacks. This research implements machine learning, deep learning, and explainable AI to assess the strengths and drawbacks of each method. Our results show that the inherently explainable model of decision trees (DT) provides excellent results similar to the highest performing models of LSTM and GRU. Achieving results within 2% of the best performing models and offering by far the lowest training and testing times of all models, Decision Trees demonstrates its viability as a computationally efficient, high-performing, inherently explainable model for IoT intrusion detection systemshttps://digital.library.ncat.edu/gradresearchsymposium25/1160/thumbnail.jp
Exploring the Current State of Student Success at Historically Black College and University Libraries
No full textThis book chapter investigates how academic librarians at Historically Black Colleges and Universities (HBCUs) define and contribute to student success, offering a perspective often underrepresented in library and information science literature. Drawing on a national survey of HBCU librarians, the authors explore how these professionals interpret student success both institutionally and personally, revealing tensions between traditional metrics—such as retention and graduation rates—and more holistic, empowerment-based frameworks. The study highlights the diverse, often under-recognized ways HBCU librarians support students, including information literacy instruction, mentorship, and emotional support. It also critiques the limitations of graduate LIS education in preparing librarians for culturally responsive service in minority-serving institutions. The chapter advocates for the integration of HBCU-based educational frameworks and critical race theory into LIS curricula to foster more inclusive, anti-racist librarianship
New Farmers of America Association
No full textTwo young men holding the reins of two horses in a field.https://digital.library.ncat.edu/photos/2030/thumbnail.jp
Comparison of First-Hand Accounts to Clinical Descriptions of Autism and Schizophrenia over Time
No full textPoster presented at Black in Neuroscience in Washington, DC
This study examines the evolution of autism and schizophrenia diagnoses and how these changes have enhanced clinical practices and research. We explore how updates to the DSM and ICD influence the diagnosis, research, and public perception of mental health. Both the DSM and ICD play key roles in identifying and classifying mental disorders. Specifically, the study focuses on: Changes in the similarity network of psychiatric diagnoses over time Shifts in alignment between DSM/ICD language and firsthand accounts of those affected We hypothesize that the similarity networks evolve differently from random null networks, and that firsthand experiences increasingly align with diagnostic criteria.https://digital.library.ncat.edu/undergraduate-research-posters/1010/thumbnail.jp
New Farmers of America Association
No full textWoman typing at a computer with a man on her right.https://digital.library.ncat.edu/photos/1278/thumbnail.jp
New Farmers of America Association
No full textGroup of five young men cleaning fish.https://digital.library.ncat.edu/photos/1825/thumbnail.jp
New Farmers of America Association
No full textA young man with a hoe, placing an object into a bottle.https://digital.library.ncat.edu/photos/1830/thumbnail.jp