Infection control / Modes of transmission

Development and validation of an explainable prediction model for schistosomiasis seropositivity: a population-based screening study in Hunan Province, China.

Early identification of people at risk of schistosomiasis infection is critical to interrupting disease transmission. We develop and validate an explainable machine learning prediction model that integrates demographic, behavioral, and environmental factors to identify these individuals. A total of 103,707 individuals were included to train and internally validate the model, and 16,574 individuals...

The micro- and nanoplastics exposome feedback loop drives synergistic air-lung toxicity.

Airborne micro- and nanoplastics (MNPs) are now recognized as persistent components of the atmospheric exposome. While their presence is established, their toxicological role remains incompletely understood. In this perspective, we propose the MNP Exposome Feedback Loop-a hypothesized self-reinforcing system in which MNPs act not as passive pollutants, but as active vectors and catalytic amplifier...

Automated atomic site determination by four-dimensional scanning transmission electron microscopy data analytics.

Automated atomic column detection and identification constitutes an active open front in advanced scanning transmission electron microscopy techniques...

SynSeg: A synthetic data-driven approach for robust subcellular structure segmentation.

Accurate subcellular segmentation is crucial for understanding cellular processes, but traditional methods struggle with noise and complex structures....

Multi-modal sensing in colonoscopy: a data-driven approach.

Soft optical sensors hold potential for enhancing minimally invasive procedures like colonoscopy, yet their complex, multi-modal responses pose signif...

Emerging Strategies for Sustainable Nitrogen Activation to Ammonia.

Activating inert nitrogen (N2) under mild conditions remains a grand challenge in chemistry, constrained by strong N≡N bonding and high kinetic stabil...

Investigation of droplet dynamics in the hypermonotectic succinonitrile-water system in a temperature gradient and microgravity conditions supported by deep learning computer vision.

We have investigated the liquid-liquid phase separation from a homogeneous liquid phase and the subsequent liquid droplet phase evolution upon cooling...

A dense recurrent unrolling network leveraging spatio-temporal priors for highly-accelerated dynamic MRI.

Dynamic magnetic resonance imaging (MRI) requires accurate reconstruction from undersampled k-space data to achieve high temporal resolution within cl...

Allosteric prediction via convolutional neural networks and protein structural and dynamical features.

Allostery is the phenomenon whereby a binding event or covalent modification at one site in a protein modulates function at a distal site, thus changi...

Molecular diagnostics in clinical microbiology: Advances, applications, and future directions.

Molecular diagnostics have transformed clinical microbiology by enabling rapid, accurate, and highly sensitive detection of infectious agents, signifi...

Combatting antimicrobial-resistant Neisseria gonorrhoeae: new antibiotics and the pipeline of antigonococcal therapeutics.

PURPOSE OF REVIEW: Gonorrhea is the second most prevalent bacterial sexually transmitted infection globally. The proliferation of antimicrobial-resist...

Dynamics and forecasting of an age-structured stochastic SIR model with Lévy perturbations via physics-informed neural networks.

Understanding and predicting real-world epidemic dynamics has consistently posed a formidable challenge. This study addresses an age-structured stocha...

Research on a novel gene sequence prediction and homomorphic encryption method based on Mamba-VMD.

Gene sequence prediction not only effectively identifies homologous genes but also provides crucial insights into gene function and evolutionary relat...

Examining the ability of artificial intelligence-driven occlusal contact adjustment to improve virtual occlusal record trueness for implant restorations: An in vitro study.

OBJECTIVES: This in vitro study evaluated the influence of artificial intelligence-driven occlusal contact adjustment (AI-OCA) on the trueness of virt...

Bioelectrochemical mitigation of soil antibiotic resistance: Disruption of bacteriophage transmission and resistant hosts.

The proliferation of antibiotic resistance genes (ARGs) in environment poses a threat to global public health. Although microbial fuel cell (MFC) has ...

Dengue forecasting and outbreak detection in Brazil using LSTM: integrating human mobility and climate factors.

BACKGROUND: Dengue fever is a major global health concern, with Brazil experiencing recurrent and severe outbreaks due to its favorable climate factor...

Numerical approximation of fractional order HIV/AIDS model with treatment using Levenberg-Marquardt backpropagation approach.

HIV specifically targets the immune system's T cells, mainly the CD4+ T cells, leading to a chronic and severe illness characterized by a long incubat...

High-throughput analysis of dislocation loops in irradiated metals using Mask R-CNN.

Advances in transmission electron microscopy under extreme conditions have enabled in situ experiments to capture vast amounts of data on defect evolu...

Reinforcement learning-based funnel control and privacy preservation for multi-agent systems with input dead-zone.

This paper investigates the privacy-preserving protocol and reinforcement learning-based funnel controller design of multi-agent systems subject to in...

A Window Into Vulnerability and Support: At-Risk Mothers' Perinatal Experiences and Perspectives on mHealth-Based Care.

AIM: To examine the perinatal experiences of at-risk mothers and their engagement with mobile-health-based care. DESIGN: A qualitative descriptive stu...