Public Health & Policy

EGNInfoLeaker: Unveiling the Risks of Public Key Reuse and User Identity Leakage in Blockchain

While Ethereum's discovery protocols (Discv4/ Discv5) incorporate robust cryptographic designs to protect user privacy, real-world deployment reveals critical vulnerabilities when users deviate from security guidelines. In this paper, we design a system called EGNInfoLeaker. Our study is the first work that uncovers widespread public key reuse across Ethereum's peer-to-peer networks - a practice...

Quantum Approximate Optimization Algorithm for Spatiotemporal Forecasting of HIV Clusters

HIV epidemiological data is increasingly complex, requiring advanced computation for accurate cluster detection and forecasting. We employed quantum-accelerated machine learning to analyze HIV prevalence at the ZIP-code level using AIDSVu and synthetic SDoH data for 2022. Our approach compared classical clustering (DBSCAN, HDBSCAN) with a quantum approximate optimization algorithm (QAOA), develo...

The Chest X- Ray: The Ship has Sailed, But Has It?

In the past, the chest X-ray (CXR) was a traditional age and amount requirement used to assess potential mortality risk in life insurance applicants. ...

Agreement between Routine-Dose and Lower-Dose CT with and without Deep Learning-based Denoising for Active Surveillance of Solid Small Renal Masses: A Multiobserver Study.

Purpose To assess the agreement between routine-dose (RD) and lower-dose (LD) contrast-enhanced CT scans, with and without Digital Imaging and Communi...

Real-time FT-IR typing of Klebsiella pneumoniae: a flexible and rapid approach for outbreak detection and infection control.

BACKGROUND: Expansion of carbapenemase-producing Klebsiella pneumoniae (CP-Kp) is driven by within-hospital transmission, requiring timely typing data...

Data-driven multi-hazard susceptibility and community perceptions assessment using a mixed-methods approach.

Assessing multi-hazard susceptibility and understanding community insights are important for effective disaster risk management; however, limited rese...

Development of a robust FT-IR typing system for , enhancing performance through hierarchical classification.

is a leading cause of foodborne illnesses globally, with significant mortality rates, especially among vulnerable populations. Traditional serotyping...

Advancing T-cell immunotherapy for cellular senescence and disease: Mechanisms, challenges, and clinical prospects.

Cellular senescence is a complex biological process with a dual role in tissue homeostasis and aging-related pathologies. Accumulation of senescent ce...

Trends and advances in image-based mosquito identification and classification using machine learning models: A systematic review.

Mosquito-borne diseases, such as Yellow fever, Dengue, and Zika, pose a significant global health threat, causing millions of deaths annually. Traditi...

Are AI-based surveillance systems for healthcare-associated infections ready for clinical practice? A systematic review and meta-analysis.

Healthcare-associated infections (HAIs) are a global public health concern, imposing significant clinical and financial burdens. Despite advancements,...

Predictive modeling based on machine learning for mapping risk areas of human sporotrichosis in southeastern Brazil.

Sporotrichosis, a zoonotic mycosis with a growing public health impact, requires innovative methods to map risk areas. This study applied machine lear...

Probabilistic memory auto-encoding network for abnormal behavior detection in surveillance video.

Abnormal behavior detection in surveillance video, as one of the essential functions in the intelligent surveillance system, plays a vital role in ant...

From classical approaches to artificial intelligence, old and new tools for PDAC risk stratification and prediction.

Pancreatic ductal adenocarcinoma (PDAC) is recognized as one of the most lethal malignancies, characterized by late-stage diagnosis and limited therap...

maneuverRecognition -- A Python package for Timeseries Classification in the domain of Vehicle Telematics

In the domain of vehicle telematics the automated recognition of driving maneuvers is used to classify and evaluate driving behaviour. This not only...

AG-VPReID 2025: Aerial-Ground Video-based Person Re-identification Challenge Results

Person re-identification (ReID) across aerial and ground vantage points has become crucial for large-scale surveillance and public safety applicatio...

"TikTok, Do Your Thing": User Reactions to Social Surveillance in the Public Sphere

''TikTok, Do Your Thing'' is a viral trend where users attempt to identify strangers they see in public via information crowd-sourcing. The trend st...

[Association between gut microbiota and hyperuricemia: insights into innovative therapeutic strategies].

Uric acid (UA) is the final metabolite of purines in the human body. An imbalance in UA production and excretion that disrupts homeostasis leads to el...

Identifying social isolation themes in NVDRS text narratives using topic modeling and text-classification methods

Social isolation and loneliness, which have been increasing in recent years strongly contribute toward suicide rates. Although social isolation and ...

Improving wastewater-based epidemiology through strategic placement of samplers

Wastewater-based epidemiology (WBE) is a fast emerging method for passively monitoring diseases in a population. By measuring the concentrations of ...

SceneAware: Scene-Constrained Pedestrian Trajectory Prediction with LLM-Guided Walkability

Accurate prediction of pedestrian trajectories is essential for applications in robotics and surveillance systems. While existing approaches primari...