Scholars Junction - Mississippi State University Institutional Repository
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Office Building Gulf and Ship Island Railroad, Gulfport, Mississippi
Full text linkThis black and white postcard features a large concrete fountain pool with a sidewalk leading up to a large white three story building. The building features arched or rounded windows on the top floor and a flag flying from the center of the roof. Trees and shrubs line the fountain and the building. Other buildings can be seen behind the central building. The title Office Building Gulf [and] Ship Island Railroad, Gulfport, Miss. is along the bottom of the image. A handwritten inscription is written beneath the title. The back of the postcard identifies the item as a postcard and provides indication for address placement. A green one cent postage stamp is placed sideways in the upper right corner and the card is postmarked Gulfport, Mississippi, September 24, 1905. The card is addressed to Carrier #2 in Biloxi, Mississippi.https://scholarsjunction.msstate.edu/mss-lampton-images-ms-coast/1323/thumbnail.jp
Toilet Paper Olympics
No full textToilet Paper Olympics includes three engaging embodied learning events designed to deepen conceptual understanding
Analyzing Heirs\u27 Property Prevalence and Spillover Effects in the U.S. Using Spatial Econometric Analysis
No full textHeirs\u27 property poses barriers to income and wealth generation, especially in rural and underserved communities. Using county-level data from the contiguous U.S., this study examines spatial clustering and socioeconomic correlates of heirs\u27 property prevalence. Results show strong spatial concentration in the South and higher prevalence in counties with large Black populations, rural areas, and Appalachia. Income inequality and financial factors are more strongly associated with heirs\u27 property than poverty. Spatial spillovers suggest that addressing heirs\u27 property in one county may benefit neighbors. Findings highlight spatial dynamics and offer insights for targeting communities and promoting equitable land ownership
From Aid to Looting: Justice and Sovereignty Issues in the Ukraine–U.S. Mineral Deal
No full textThis essay identifies three central moral and political issues with the the Ukraine–U.S. Mineral Deal. First, by linking financial and military assistance to access to Ukraine’s natural resources, the deal entrenches a form of resource conditionality that is highly problematic from the moral standpoint of international justice and other ethical principles. Second, the absence of a commitment to a just peace—including the restoration of territorial integrity, reparations, and security guarantees—renders the conditions for secure, long-term investment in Ukraine’s extractive economy a distant prospect, while raising the risk that a substantial portion of Ukraine’s resource wealth unlawfully seized by Russia will not be recovered. Third, the agreement introduces risks of external influence or control over Ukraine’s natural resource governance and investment priorities, posing a significant threat to its economic sovereignty
Using a Bacterial Protein to Selectively Target Bacterial Biofilms: Treatment of S. epidermidis Biofilms with Targeted Photothermal Gold Nanoparticle
No full textBiofilm-related infections are associated with high mortality and morbidity combined with increased treatment costs. Traditional antibiotics are becoming less effective due to the emergence of drug-resistant bacterial strains. The need to treat biofilms on medical implants is particularly acute, and one persistent challenge is selectively directing nanoparticles to the biofilm site. Here, we present a protein-based functionalization strategy that targets the extracellular matrix of biofilms. The engineered protein combines the Staphylococcus epidermidis autolysin R2ab domain with a gold-binding GB3 domain, directing nanoparticles specifically to bacterial cell wall components (lipoteichoic acid and wall teichoic acid) that are absent in mammalian tissues. This fusion protein is applied to a gold nanoparticle (AuNP) core, along with elastin-like polypeptides (ELPs), which generate a robust photothermal response. The engineered particles exhibit exceptional biocompatibility, including low protein corona formation, minimal macrophage uptake, and hemocompatibility, while maintaining selective biofilm targeting. The photothermal conversion can be modulated by changing the ELP transition temperature, and the functionalized AuNPs strongly interact with biofilms under static and flow conditions without significantly binding to serum-coated surfaces. Near-infrared laser irradiation resulted in a 10,000-fold improvement in killing efficiency compared to untreated controls (p \u3c 0.0001). The targeting strategy utilized here represents a versatile approach to targeting drug-resistant infections and could be readily expanded to other bacterial pathogens and anti-biofilm nanoparticle platforms
In Pursuit of Effective Research Collaborations: Explorations with 1890 and 1862 Land-Grant Universities
No full textThis report provides findings from a study focused on research collaborations between 1862 and 1890 Land-Grant Universities. Methods included a survey of research administrators and interviews conducted with researchers. Insights from the study are interpreted through extant literature and organized by the categories of interpersonal interactions, organizational cultures, and institutional structures and processes. The report concludes with recommendations made by regional leaders based on these findings
Application of artificial intelligence in insect pest identification - A review
No full textThe increasing danger of insect pests to agriculture and ecosystems calls for quick, and precise diagnosis. Conventional techniques that depend on human observation and taxonomic knowledge are frequently labour-intensive and time-consuming. Incorporating artificial intelligence (AI) into detection has emerged as an effective approach in agriculture, including entomology. AI-based detection methods use machine learning, deep learning algorithms, and computer vision techniques to automate and improve the identification of insects. Deep learning algorithms, such as convolutional neural networks (CNNs), are primarily used for AI-powered insect pest identification by categorizing insects based on their visual features through image-based classification methodology. These methods have revolutionized insect identification by analyzing large databases of insect images and identifying distinct patterns and features linked to different species. AI-powered systems can improve insect pest identification by utilizing other data modalities. However, there are obstacles to overcome, such as the scarcity of high-quality labelled datasets and scalability and affordability issues. Despite these challenges, there is significant potential for AI-powered insect pest identification and pest management. Cooperation among researchers, practitioners, and policymakers is necessary to utilize AI in pest management fully. AI technology is transforming the field of entomology by enabling high-precision identification of insect pests, leading to more efficient and eco-friendly pest management strategies. This can enhance food safety and reduce the need for continuous insecticide spraying, ensuring the purity and safety of the food supply chains. This review updates AI-powered insect pest identification, covering its significance, methods, challenges, and prospects
Advancing Telemedicine Adoption: Insights From Health Behavior Models With a Focus on the Multi-Theory Model
Full text linkTelemedicine, the use of digital communication technologies to deliver clinical healthcare remotely, has emerged as a pivotal advancement in modern medicine. By providing virtual consultations, asynchronous data transmission, and remote patient monitoring (RPM), telemedicine enhances accessibility, particularly for underserved populations, while promoting efficiency and continuity of care. As telemedicine transforms healthcare delivery, its adoption hinges on understanding health behaviors—actions influenced by psychological, sociocultural, and environmental factors. These behaviors can be categorized into preventative, illness, and risk-related actions, with established models like the Health Belief Model (HBM), Social Cognitive Theory (SCT), and Transtheoretical Model (TTM) offering insights into behavior change mechanisms. The Multi-Theory Model (MTM), integrating constructs from various frameworks, is particularly well-suited to guide telemedicine adoption. MTM addresses both initiation and maintenance of behaviors through components such as participatory dialogue, behavioral confidence, and environmental modifications. Emotional transformation and social support further sustain long-term engagement with telemedicine. This comprehensive approach positions MTM as a valuable tool for overcoming barriers like privacy concerns, technological literacy, and infrastructure gaps. This review explores the application of health behavior models to telemedicine adoption, emphasizing the strengths of MTM in addressing the complexities of behavior change. By leveraging MTM, healthcare systems can enhance telemedicine utilization, ultimately improving health outcomes and equity in care delivery
An exploratory mixed-methods investigation of previous sexual health communication between lesbian, gay, bisexual, or queer young adults and their parents
No full textResearch suggests parent-child communication about sexual health can promote positive sexual health outcomes (e.g., Estrada-Martinez et al., 2020; Jayne et al., 2021); however, parent-child sexual health conversations are often infrequent and heteronormative (Estes, 2017). Few studies explore sexual health communication between LGBQ youth and their parents. This study explores previous experiences with parent-child sexual health communication between seven LGBQ young adults, aged 18 to 26, and four of their heterosexual mothers, to better understand parent-child sexual health communication and differences between parental-child reflections. Findings suggest LGBQ young adults and parents recall similar experiences, however, perceived discomfort and parental competency differently. Conversations about sexual health were largely infrequent and lacked LGBQ-inclusive sexual health information, and LGBQ young adults reported feeling like educators for their parents. Results contribute data collected from matched parent-child dyads and highlight the need for additional research and development of LGBQ-inclusive sexual health resources for youth and families
Using EEG to measure attentional spreading across objects
No full textAbstract: Attention may not solely be restricted to a spatial area or a feature of an object, but rather can “spread” across all parts of an object in space, enhancing the processing of its features collectively (Duncan, 1984). This phenomenon suggests that attention operates at the level of whole objects, enhancing the representation of all features associated with the attended object while suppressing competing stimuli. Building on this object-based framework, the present thesis examines the functional and neural dissociation between attention and awareness using steady-state visually evoked potentials (SSVEPs) as a frequency-tagging method in EEG. Leveraging the high temporal resolution of EEG and the frequency specificity of SSVEPs, the study investigates how attentional allocation modulates neural responses across objects. articipants were exposed to multiple spatially distinct flickering stimuli (3 Hz, 5 Hz, 12 Hz, and 20 Hz) under varying attentional conditions—cued, not cued within the same visual field, and not cued outside the attended region. Signal-to-noise ratios (SNRs) at stimulus frequencies were computed using FFT to quantify attentional enhancement independent of perceptual awareness. Results show that attention selectively boosts and depresses SSVEP responses at certain attended frequencies, but shows no ability for attention to spread across distinctly connected objects