Results 71 to 80 of about 20,788 (183)

Circulating Microbial Metabolites Predict Tumor Relapse and Chemotherapy Efficacy in Nasopharyngeal Carcinoma

open access: yesMedComm, Volume 7, Issue 4, April 2026.
ABSTRACT The value of microbial metabolites in prognosis and treatment response prediction in patients with nasopharyngeal carcinoma (NPC) remains unclear. Here, through the untargeted metabolomic analysis of plasma in 48 paired NPC patients with or without tumor relapse, we identified distinct circulating metabolite atlases between NPC patients with ...
Jun‐Yan Li   +16 more
wiley   +1 more source

ProteinMCP: An agentic AI framework for autonomous protein engineering

open access: yesProtein Science, Volume 35, Issue 4, April 2026.
Abstract Computational protein design is often constrained by slow, complex, inaccessible, and highly sophisticated and expert‐dependent workflows that hinder its transferrability and generalization power for broader applications. We present ProteinMCP, an agentic AI framework designed to accelerate and democratize protein engineering.
Xiaopeng Xu   +6 more
wiley   +1 more source

Recent Advances in Piezocatalysis and Piezo‐Photocatalysis in Energy and Environment: Materials, Design, and Applications

open access: yesRare Metals, Volume 45, Issue 4, April 2026.
ABSTRACT Piezocatalytic technology utilizes mechanical strain or stress‐induced piezoelectric phenomena to produce robust internal electric fields, markedly improving the separation efficiency of e−‐h+ pairs. This method has emerged as a focal point in catalysis by removing reliance on conventional light or electrical energy via its mechanical‐to ...
Yue Zhou   +5 more
wiley   +1 more source

pyecoacc: A python package for supervised learning of behavioural modes from accelerometer data

open access: yesMethods in Ecology and Evolution, Volume 17, Issue 4, Page 1082-1089, April 2026.
Abstract Supervised learning of behavioural modes from body‐worn sensor data, especially accelerometers, has become a transformative research tool in behavioural ecology over the past years. Due to the popularity of the methodology and diverging needs of users, there are a number of software packages dedicated to it, ranging from web based graphical ...
Yehezkel S. Resheff   +3 more
wiley   +1 more source

MMLTC: A Novel Tolerance‐Based Clustering Framework for Multimodal Sentiment and Harmful Meme Classification in Multilingual Settings

open access: yesComputational Intelligence, Volume 42, Issue 2, April 2026.
ABSTRACT This work introduces a novel Tolerance‐Based Clustering Framework (MMLTC) framework for affective analytics of multimodal/multilingual content in social media. A key feature of the MMLTC framework is its ability to overcome limitations of prior tolerance‐based classifiers through the construction of label specific pure tolerance classes ...
Jaher Hassan Chowdhury, Sheela Ramanna
wiley   +1 more source

A GIS‐Integrated Active Learning Framework for Crash Severity Classification in Imbalanced Traffic Data

open access: yesTransactions in GIS, Volume 30, Issue 2, April 2026.
ABSTRACT Classifying urban traffic crash severity remains challenging because severe incidents are underrepresented in highly imbalanced datasets. This challenge is further intensified by spatiotemporal shifts in data distributions, which can degrade model performance over time.
Reza Mohammadi, Mohammad Taleai
wiley   +1 more source

Cellular microenvironment of erythropoietin‐producing cells in hypoxic and injured mouse kidneys

open access: yesExperimental Physiology, Volume 111, Issue 4, Page 2236-2267, 1 April 2026.
Abstract The main sources of circulating erythropoietin (Epo) in the adult are kidney Norn cells, a recently identified interstitial cell type capable of becoming renal Epo‐producing (REP) cells following a local decrease in tissue oxygenation. REP cells are restricted to small clusters in the corticomedullary border region, suggesting that their ...
Olga M. Lempke   +3 more
wiley   +1 more source

LK-Index: A Learned Index for KNN Queries

open access: yesIEEE Access
The k-Nearest Neighbor (kNN) search is a crucial problem in database and data mining, especially in high-dimensional space. However, traditional kNN algorithms based on distance metrics and brute-force search often have low search efficiency and accuracy, and high computational complexity when dealing with large-scale high-dimensional datasets.
openaire   +2 more sources

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