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Endocervical adenocarcinomas and HPV genotyping in an HIV endemic milieu - a retrospective study.
BMC Womens Health
January 2025
School of Health Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
Background: Cervical cancer is the most prevalent cancer in Mozambique, with endocervical adenocarcinoma accounting for approximately 5.5% of cases. Knowledge regarding the most prevalent HPV genotypes in endocervical adenocarcinoma is limited, within this setting.
View Article and Find Full Text PDFUltrafast Synthesis of Hard Carbon Anodes for Sodium-ion Batteries: An Intense-Pulsed-Light-Assisted Approach to Photothermal Carbonization of Polymer/Carbon Nanotube Composite Films.
Small Methods
January 2025
Nano Hybrid Technology Research Center, Electrical Materials Research Division, Korea Electrotechnology Research Institute (KERI), Changwon, 51543, Republic of Korea.
The conventional carbonization process for synthesizing hard carbons (HCs) requires high-temperature furnace operations exceeding 1000 °C, leading to excessive energy consumption and lengthy processing times, which necessitates the exploration of more efficient synthesis methods. This study demonstrates the rapid preparation of HC anodes using intense pulsed light (IPL)-assisted photothermal carbonization without the prolonged and complex operations typical of traditional carbonization methods. A composite film of microcrystalline cellulose (MCC) and single-walled carbon nanotubes (SWCNTs) is carbonized at high temperatures in less than 1 min.
View Article and Find Full Text PDFOptimizing ternary hybrid nanofluids using neural networks, gene expression programming, and multi-objective particle swarm optimization: a computational intelligence strategy.
Sci Rep
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Renewable Energy Research Group, Isfahan, Iran.
The performance of nanofluids is largely determined by their thermophysical properties. Optimizing these properties can significantly enhance nanofluid performance. This study introduces a hybrid strategy based on computational intelligence to determine the optimal conditions for ternary hybrid nanofluids.
View Article and Find Full Text PDFLeveraging dynamics informed neural networks for predictive modeling of COVID-19 spread: a hybrid SEIRV-DNNs approach.
Sci Rep
January 2025
Institute of Mathematical Sciences, Faculty of Science, Universiti Malaya, 50603, Kuala Lumpur, Malaysia.
A dynamics informed neural networks (DINNs) incorporating the susceptible-exposed-infectious-recovered-vaccinated (SEIRV) model was developed to enhance the understanding of the temporal evolution dynamics of infectious diseases. This work integrates differential equations with deep neural networks to predict time-varying parameters in the SEIRV model. Experimental results based on reported data from China between January 1, and December 1, 2022, demonstrate that the proposed dynamics informed neural networks (DINNs) method can accurately learn the dynamics and predict future states.
View Article and Find Full Text PDFInhalable DNase I@Au hybrid nanoparticles for radiation sensitization and metastasis inhibition by elimination of neutrophil extracellular traps.
Biomaterials
January 2025
Department of Urology, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China. Electronic address:
High-dose radiation therapy is a widely used clinical strategy to inhibit tumor growth. However, the rapid generation of excessive reactive oxygen species (ROS) triggers the formation of neutrophil extracellular traps (NETs), which capture free tumor cells in the bloodstream, promoting metastasis. In this study, we developed a hybrid nanoparticle composed of DNase I and gold (DNase I@Au) to enhance radiotherapy efficacy while mitigating metastasis by precisely eliminating NETs.
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