Infection control / Modes of transmission

An Automated Framework for Mandibular Reconstruction: Evaluation and Clinical Application.

BACKGROUND: Mandibular reconstruction suffers from limitations in automation and objectivity. This study aimed to develop an automated framework to address these challenges. METHODS: A novel approach combining statistical shape modeling and 3D deep learning was developed. Trained on 200 CT scans and validated in 80 clinical cases, its performance was compared to expert manual planning by evaluatin...

Machine learning framework for early detection of polio outbreaks from acute flaccid paralysis surveillance data.

Poliomyelitis remains a global public health concern despite remarkable progress toward eradication. The continued circulation of vaccine-derived polioviruses underscores the need for enhanced surveillance systems capable of early detection and rapid response. Acute Flaccid Paralysis (AFP) surveillance, a key component of the polio eradication, plays a vital role in detecting poliovirus transmissi...

Disturbance modeling compensation predictive LADRC of tank gun control system using self-attention mechanism based bi-LSTM network.

In order to address the tracking accuracy degradation of the tank gun control system (TGCS) with inherent structural nonlinearity and feedback hystere...

Online detection of apple moldy core using near-infrared spectroscopy with flexible transmission tray and deep learning.

Apple moldy core (AMC) causes substantial postharvest losses, yet early-stage infections remain difficult to detect due to the absence of visible symp...

Speech-to-Speech Voice-Cloning Care (SVCC) for improving ICU-acquired anxiety for critically ill patients in a tertiary hospital in Beijing, China: protocol of a randomised, controlled trial.

INTRODUCTION: Intensive care unit (ICU) visiting restrictions in hospitals, implemented due to infection control and other factors, limited contact be...

Validity and Reliability of an AI-Based Jump Height App vs. Infrared Contact Mat: Minimal Influence of Skin Pigmentation Under Standardized Lighting.

Ríos-Gallardo, PT, Carranza-García, LE, Dietze-Hermosa, M, Gonzalez, MP, Balsalobre-Fernández, C, Dorgo, S, and Montalvo, S. Validity and reliability ...

Deep Learning-Driven Transmission Electron Microscopy Analysis of Murine Optic Nerve Myelinated Axons.

OBJECTIVE: To develop and validate a deep learning-based method for automated quantification of retinal ganglion cell axons in transmission electron m...

Highly Efficient Zinc-Based Metal-Organic Framework for Adsorptive Removal of Congo Red: Experimental Investigation and AI-Driven Validation.

Mitigating hazardous environmental hazards, such as organic dyes present in water, remains a pressing challenge. In this study, a highly efficient zin...

Foreign object detection in power transmission lines using SESYOLO.

The complex environment of power transmission lines renders foreign object attachment to electrical equipment a frequent cause of faults. However, exi...

Assessing leishmaniasis risk in irrigated lands in Central Tunisia using visible-spectrum remote sensing data.

The expansion of irrigation in central Tunisia has reshaped landscapes, creating ecological conditions favourable to Phlebotomus sand flies and Leishm...

IoT framework for sports activity safety monitoring based on wearable sensors and CRNN spatiotemporal analysis.

The integration of wearable sensors and IoT technology provides new technical means for sports activity monitoring. However, existing solutions still ...

Explainable LSTM-AdamW based fault diagnosis of aircraft rotating components using airborne acoustic signals under dynamic operating conditions.

AI-driven forecasting of Vibrio vulnificus in the Southern Baltic Sea using high-resolution data.

Vibrio vulnificus poses a growing public health risk in the brackish Baltic Sea, where rising summer sea temperatures can create optimal conditions fo...

Acute respiratory infection (COVID-19) risk prediction in travelers: A random forest model.

BACKGROUND: Early screening during outbreaks of acute respiratory infections (ARIs) is critical for controlling disease spread among international tra...

Feasibility study of fast nuclide identification for beta-emitting sources using learning-based models.

This study investigates the feasibility of rapidly identifying beta-emitting radionuclides based on the beta spectrum data measured in air using learn...

Enhancing the efficacy of Salvia miltiorrhiza and Ligusticum chuanxiong in the treatment of coronary heart disease: The value of poorly soluble components and nanocrystal self-stabilized solid emulsions.

BACKGROUND: The Salvia miltiorrhiza-Ligusticum chuanxiong herb pair is a classic combination in traditional Chinese medicine (TCM) formulation for cor...

Identification of key genes modules linking brain aging signatures and COVID-19-associated cognitive impairment.

BACKGROUND: Emerging evidence indicates that SARS-CoV-2 infection is associated with aging, particularly in memory-related domains. However, the molec...

Deep Learning-Assisted Intelligent Liquid Crystal Elastomer Grippers Based on Autonomous Triboelectric Sensing.

Soft grippers have shown promising applications in robotics due to their high flexibility, damage-free contact, and environmental adaptability. Howeve...

Multicounty Outbreak of Salmonella Agbeni Linked to Ice in a Cooler at a County Fair - Illinois, August 2024.

On August 5, 2024, the Brown County (Illinois) Health Department (BCHD) was informed by the county sheriff that numerous potential jurors being screen...

Integrating machine learning techniques for critical node identification in complex networks.

Identifying the most prominent nodes in complex networks becomes more critical for applications such as information propagation, epidemic control, and...