AIMC Journal:
bioRxiv

Showing 1161 to 1170 of 4938 articles

Pairing Data Independent Acquisition and High-Resolution Full Scan for Fast Urinary Tract Infection Diagnosis

bioRxiv
Background: Rapid and accurate identification of urinary tract infection (UTI) pathogens is critical for effective treatment and combating antimicrobial resistance. Conventional culture-based diagnostics are slow, and standard tandem mass spectrometr...

The nascent transcriptome delineates the regulatory landscape in human health and disease

bioRxiv
Transcriptional regulatory elements (TREs) orchestrate gene expression programs fundamental to cellular identity and transitions across physiological and pathological states. Here, we present a high-resolution atlas of RNA Polymerase II-engaged TREs ...

Assessing the impact of spatial and temporal filters on BirdNET performance for monitoring bird communities

bioRxiv
Recent advances in automated technologies, such as passive acoustic monitoring, provide a powerful framework for surveying bird communities at broad spatial scales. Among the most widely used artificial intelligence tools for automated bird sound rec...

Multi-feature Classification to Improve Colorimetric Loop-Mediated Isothermal Amplification Fidelity

bioRxiv
Loop-mediated isothermal amplification (LAMP) is a cost-effective and portable assay technique for performing nucleic acid-based diagnostics in the field whose adoption is hindered by design and reproducibility issues. This is due to a complex primer...

From topography to connectome: Towards an integrated understanding of the resting brain

bioRxiv
As the field expands from early research into the human connectome, there has been a fast expansion in the number of analytical approaches to study resting state functional MRI (rsfMRI) data. With increasing focus on individual differences, topograph...

Cross-domain encoding models reveal shared and domain-specific neural representations across language and mathematics

bioRxiv
Whether language and mathematics rely on shared or distinct neural representations remains an unresolved question in cognitive neuroscience. Here we combine latent features from a large language model (LLM) with vertex-wise encoding models to examine...

HydraMPP: A lightweight library for distributed massive parallel processing in Python - threading at scale.

bioRxiv
We now exist in the era of massive datasets from genomics, large language models, and all the known knowledge of humanity right at our fingertips. Much of this data is becoming more accessible; however, processing such data remains an ongoing issue a...

C1qa⁺ muscularis macrophages maintain enteric synaptic homeostasis to regulate gastrointestinal motility

bioRxiv
The enteric nervous system (ENS) is a complex peripheral neural network that coordinates gastrointestinal motility through highly organized synaptic communication. Although tissue-resident muscularis macrophages (MMs) closely associate with enteric n...

Scene Structure Predicts Perceptual Decisions in Naturalistic Detection Tasks

bioRxiv
The human visual system can identify objects in complex natural scenes, yet the mechanisms supporting robust perception under such variable conditions remain incompletely understood. Here, we investigate how the statistical structure of natural scene...

The ENIGMA MEG Pipeline: Automated cortically localized spectral analysis of multi-site resting state MEG datasets

bioRxiv
Background Magnetoencephalography (MEG) is a unique technique in human neuroimaging combining high temporal resolution (millisecond or faster) with moderate spatial resolution (several millimeter). While many software packages for MEG data analysis e...