3286 research outputs found
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Using ChatGPT for Converting Sequential Python Programs into Parallel Code
No full textThis paper investigates ChatGPT capability to automatically convert sequential Python programs into parallel code, addressing the challenge of parallelizing code for multi-core processors. We develop a methodology where sequential code is fed to ChatGPT with prompts to introduce parallel constructs (e.g., multithreading, multiprocessing), and we evaluate the correctness and performance of the AI-generated parallel code. A comparative analysis against traditional parallelization methods—including manual expert refactoring and existing automated tools—highlights the effectiveness and limitations of ChatGPT in parallel code transformation. The results show that ChatGPT can identify independent computations and inject parallelism to achieve notable speedups comparable to human-written parallel code in simple cases, significantly reducing development effort. However, ChatGPT, if not guided by appropriate patterns, fails with more complex scenarios: it may overlook Python-specific constraints, leading to suboptimal or incorrect parallel code that requires manual correction. © 2025 Elsevier B.V., All rights reserved
Dr. Jose Franco Rodriguez & - The Gift of Bicameral Mentality in Lake Atitlan\u27s Mayan Ora
No full textDr. Jose Franco Rodriguez and speaks at the Chesnutt Library of Fayetteville State University about their recent research Of Gods And Men- The Gift of Bicameral Mentality in Lake Atitlan\u27s Mayan Ora.
Presented live on March 5, 2025 as part of Chesnutt Library\u27s Faculty Author Series.https://digitalcommons.uncfsu.edu/faculty_author/1012/thumbnail.jp
Dr. Mabel Aworh- Impact of Antimicrobial Resistance on Food Security and Safety
No full textDr. Mabel Aworh speaks at the Chesnutt Library of Fayetteville State University about her recent work on food safety and the dangers of antimicrobial resistance in the food sold at grocery stores.
Presented live on October 8, 2025 as part of Chesnutt Library\u27s Faculty Author Series.https://digitalcommons.uncfsu.edu/faculty_author/1018/thumbnail.jp
What happens to a dream différed? Restive capital and the somnambulant artist after the colonization of the dreamworld
No full textExisting scholarship on organizational paradox theory has often favored an integrative approach that constructively embraces the connection between terms. But such an approach risks evacuating paradox of its contradictory character and masking its fundamental undecidability. Drawing on the life and writings of nineteenth-century worker-poet Louis-Gabriel Gauny as interpreted by Jacques Rancière, this study traces human experience in organizational contexts across three key paradoxes: time, identity, and flexibility. Gauny’s reflections suggest a neither/and approach to paradox that preserves the tension between opposites while maintaining an indifferent disloyalty to polar extremes. Implications for contemporary managerial practices include the need to critically reevaluate the concept of work-life balance. © 2025 Elsevier B.V., All rights reserved
Dislocation Avalanches in Compressive Creep and Shock Loadings
No full textMotion of dislocations is a common mechanism of plasticity in many materials. Acoustic emissions and stress bursts turned out to be integral parts of this mechanism. An adequate description of these processes is an important goal of the Materials Theory, which aims to describe the mechanical properties of materials and their reliability in service. In this article, a novel approach to dislocation plasticity capable of describing emission events and stress bursts is introduced, and computational experiments intended to model the processes of compressive creep and shock compression in samples of various makeup and sizes are discussed. It turns out that the emission events self-organize into dislocation avalanches, which propagate at a speed determined by the conditions of loading. In the compressive creep experiments, the avalanches arrange into slow-moving slip bands, while in the shock compression experiments the avalanches move faster than sound. © 2025 Elsevier B.V., All rights reserved
Enable, empower, succeed: a bioinformatics workshop Harnessing open web-based tools for surveillance of bacterial antimicrobial resistance
No full textBackground: Antimicrobial resistance (AMR) poses a significant threat to global health, particularly in Western sub-Saharan Africa where 27.3 deaths per 100,000 lives are affected, and surveillance and control measures are often limited. Genomics research plays a crucial role in understanding the emergence, spread and containment measures of AMR. However, its implementation in such settings is particularly challenging due to limited human capacity. This manuscript outlines a three-day bioinformatics workshop in Cameroon, highlighting efforts to build human capacity for genomics research to support AMR surveillance using readily accessible and user-friendly web-based tools. The workshop introduced participants to basic next-generation sequencing concepts, data file formats used in bacterial genomics, data sharing procedures and considerations, as well as the use of web-based bioinformatics software to analyse genomic data, including in silico prediction of AMR, phylogenetics analyses, and a quick introduction to Linux© command line. Results: Briefly, a substantial increase in participants’ confidence in bioinformatics knowledge and skills was observed before and after the workshop. Notably, before the workshop most participants lacked confidence in their ability to identify next-generation sequencing technologies or workflows (64%) and analyse genetic data using web-based bioinformatics tools (81%). After the workshop, majority of participants were extremely confident using NCBI BLAST and other web-based bioinformatics tools for data analysis with a score ≥ 5 among which 45%, 9% and 18% had a score of 8, 9, and 10, respectively. Conclusion: Our findings highlight the effectiveness of this training approach in empowering local researchers and bridging the bioinformatics gap in genomics surveillance of AMR in resource-constrained settings. We provide a detailed description of the relevant training approaches used, including workshop structure, the selection and planning, and utilization of freely available web-based tools, and the evaluation methods employed. Our approach aimed to overcome limitations such as inadequate infrastructure, limited access to computational resources, and scarcity of expertise. By leveraging the power of freely available web-based tools, we demonstrated how participants can acquire fundamental bioinformatics skills, enhance their understanding of biological data analysis, and contribute to the field, even in an underprivileged environment. Building human capacity for genomics research globally, and especially in resource-constrained settings, is imperative for ensuring global health and sustainable containment of AMR. © 2025 Elsevier B.V., All rights reserved
Exploring the predictors of COVID-19 vaccination uptake among people living with HIV/AIDS in Tennessee
No full textBackground: Tennessee is ranked 47th among the 50 states in the US in COVID-19 vaccine uptake, with only 63.8% of the state’s eligible population being vaccinated with at least one dose of COVID-19 vaccine. In addition, Tennessee has 20,466 people living with HIV/AIDS (PLWHA), a population that can be more susceptible to opportunistic infections than the general population. With relatively high COVID-19 infection rate, lower COVID-19 vaccine uptake rate, and increasing burden of HIV in Tennessee, it is important to study COVID-19 vaccine uptake and associated factors among people living with HIV/AIDS (PLWHA) in Tennessee. Methods: The Tennessee Department of Health HIV surveillance and COVID-19 immunization dataset is a combination of enhanced HIV/AIDS Reporting System (eHARS) database and COVID-19 immunization dashboard. A secondary data analysis was completed to determine the predictors of uptake of COVID-19 vaccine uptake and the number of vaccine doses received by PLWHA in the state using logistic regression and negative binomial regression analyses respectively. Results: There was a significant association between age group (p \u3c 0.0001), gender (p \u3c 0.0001), and region (p \u3c 0.0001) with uptake of COVID-19 vaccination. In the multivariable model, individuals less than 25 years of age and residents of West Tennessee were significantly less likely to get COVID-19 vaccination. Furthermore, those with male same-sex partners were predicted to receive 1.6 times (IRR 1.68; 95% CI = 1.56–1.81 where IRR = Incidence Rate Ratio) more doses while people who inject drug (PWID) were 23.5% less likely (IRR 0.77; 95% CI = 0.69–0.85) to take more doses of COVID-19 vaccines than heterosexuals who do not inject drugs. Key findings: It is imperative to concentrate efforts and strategies to improve the COVID-19 vaccine behavior among individuals younger than 25 years and people who inject drugs correcting negative perceptions of vaccines using knowledge, attitude and practice frameworks. © 2025 Elsevier B.V., All rights reserved
ULTIMATE BOUND FOR AN ACTIVE LORENZ SYSTEM
No full textConsidering the Lorenz-like model [1] derived from Active Model H for scalar active matter introduced by Tiribocchi et al. [2], we investigate the ultimate bound and global attractive sets for the system, and obtain the ultimate bound characterized by an ellipsoid and a global exponential attractive set for the system. © 2025 Elsevier B.V., All rights reserved
Dr. Whitney Wall- Veteran\u27s Mental Health Survey and Analysis
No full textDr. Whitney Wall speaks at the Chesnutt Library of Fayetteville State University about her recent work on a mental health survey of veterans and their needs.
Presented live on November 11, 2025 as part of Chesnutt Library\u27s Faculty Author Series.https://digitalcommons.uncfsu.edu/faculty_author/1023/thumbnail.jp