Infection control / Modes of transmission

Unlocking Enzyme Discovery: A High-Resolution Gene Cluster Database Powered by Phylogenetic Insights and Machine Learning.

High-throughput sequencing has generated vast genomic repositories that remain under-annotated, hampering enzyme discovery. We present an integrated pipeline that (i) builds a high-resolution, cross-kingdom phylogenetic database, (ii) mines candidates via multilocus phylogeny, (iii) predicts activities using an evolutionary-scale protein language model, and (iv) removes false positives through mul...

Unveiling the ecology and spatial dynamics of Trypanosoma cruzi, its DTUs and Triatoma vitticeps in the Atlantic Forest of south-eastern Espírito Santo State, Brazil.

The transmission dynamics of Trypanosoma cruzi in natural environments exhibit considerable variation at the micro-locality scale. However, the specific biotic and abiotic factors driving this heterogeneity remain largely unidentified. The Atlantic Forest of the state of Espírito Santo (ES) presents a unique transmission network of T. cruzi, in which Triatoma vitticeps represents the absolute majo...

A pan-European assessment of multi-sector drivers of human hantavirus risk: climate, biodiversity, and socio-economic factors as key determinants.

The landscape of emerging zoonoses is being rapidly reshaped by concurrent climate change, environmental transformation, and biodiversity loss. These ...

Crude Oil Analysis by Low-Field NMR Relaxometry.

Reliable characterization of crude oil properties remains a central task in petroleum research and industry. Conventional methods established by ASTM ...

Learning highly oscillatory optical fields with Fourier feature networks.

Accurately modelling physical perturbations in optical systems is critical for photonic device design, yet existing characterization methods are often...

A comparative study of classical and neural network based optimal control in dengue transmission dynamics.

This study develops and analyses a mathematical model that represents dengue transmission between human and mosquito populations. The human population...

Mathematical modelling and analysis of human metapneumovirus transmission dynamics using neural network intelligence and optimal control.

Human metapneumovirus (hMPV) is a serious global health threat because it causes human respiratory diseases in people of all ages. The complicated dyn...

Optimization and validation of air impingement cleaning parameters for removing nonfat dry milk powder from stainless steel surfaces by machine learning.

Air impingement cleaning can remove residues from food contact surfaces without introducing moisture, thereby controlling allergen cross-contact and p...

Identification and validation of ferroptosis-related genes for diabetic nephropathy.

BACKGROUND: Emerging evidence highlights the pivotal role of ferroptosis in the pathophysiology of diabetic nephropathy (DN). This study aimed to iden...

LightIN: a versatile silicon-integrated photonic field programmable gate array with an intelligent configuration framework for next-generation AI clusters.

Artificial Intelligence models pose serious challenges to intensive computing and high-bandwidth communication for conventional electronic circuit-bas...

AI-powered biomechanical modeling for ACL-reconstructed knees: predicting knee joint contact forces via computer vision and deep learning.

BACKGROUND: Patients undergoing anterior cruciate ligament reconstruction (ACLR) are at high risk of osteoarthritis or secondary injuries, with abnorm...

Informatics for Infection Prevention and Control.

Computer informatics is integral to infection control, a role that will grow as surveillance and reporting become increasingly automated. Surveillance...

Investigation of Fatty Acid Metabolism-Associated Molecular CPOX and the Underlying Mechanism in Follicular Lymphoma.

Dysregulated lipid metabolism is a key driver of follicular lymphoma (FL). This study aimed to explore the lipid metabolism-related genes (LMRGs) and ...

Global 0.25-degree gridded Snow water equivalent data derived from machine learning using in-situ measurements.

In this study, we developed a machine learning-based global daily SWE product (SWEML) with 0.25° (~25 km) resolution for 1980-2020. Using k-means clus...

Self-Powered Multisensor with Electromagnetic and Triboelectric Energy Harvesting for Wireless Monitoring in Every Knee Joint Motion.

Artificial Intelligence of Things (AIoT) enables convenient human health monitoring but consumes massive data and energy. Traditional power supplies a...

Real-time detection for water pollutant based on triboelectric nanogenerators and machine learning.

Water cleanliness and safety are fundamental to sustaining human activities and maintaining ecological stability. In this study, a self-powered water-...

Assessing a method of optimizing digital dental crown design with antagonist tooth-wear facets: A prospective clinical study.

STATEMENT OF PROBLEM: Artificial intelligence (AI) has been applied to crown design and can produce acceptable morphology. However, occlusal morpholog...

NAStructuralDB : structural database to facilitate computational studies of molecular modeling and recognition of proteins with special focus on antibody-antigen interactions.

Studying the interactions between antibodies and antigens is fundamental to the development of novel therapeutic biologics. Predictions of such intera...

A hydrogel-based triboelectric noncontact-ionic pressure dual-function sensing system for measuring mandibular movement trajectory and bite force.

This study proposes a flexible sensing system for simultaneously measuring mandibular movement trajectories and bite force during mastication. The sys...

Overcoming gastrointestinal mucosal barriers: Mechanistic innovations and technical advances in mucosal targeting strategies for animal oral vaccines.

Infectious diseases caused by pathogenic microorganisms (such as Escherichia coli, Avian influenza virus (AIV), Rotavirus, etc.) that primarily invade...