Results 91 to 100 of about 248,068 (279)
Advanced Science, EarlyView.Microproteins are hidden treasures encoded by the “dark proteome” but remain largely underexplored due to the lack of highly efficient tools. We developed a molecularly imprinted polymers (MIPs)‐based toolbox (CLAIMID) to achieve accelerated and ultrasensitive microproteins validation at multiple biological scales (single living cells, cell populations,
Hui He +10 more
wiley +1 more source
Decision letter for "Beyond new public management: Empowering community‐based organisations"
, 2020 openalex +1 more source
A Federated Deep Learning Empowered Resource Management Method to Optimize 5G and 6G Quality of Services (QoS) [PDF]
, 2022 Hemaid Alsulami +5 more
openalex +1 more source
De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning
Advanced Science, EarlyView.Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li +23 more
wiley +1 more source
To Schedule or Not To Schedule? Agentic and Cooperative Teams at Call Centers
Frontiers in Psychology, 2014 Danilo eGarcia +4 more
doaj +1 more source
Review of: "Empowering Women in Leadership and Management Positions to Maintain Gender Equality: A Case Study on Sidama Region" [PDF]
Sophie Chevalier
openalex +3 more sources
β‐Adrenergic Signaling Promotes Anti‐Tumor Immunity in TP53‐mutant Oral Squamous Cell Carcinoma
Advanced Science, EarlyView.β‐adrenergic stimulation enhances anti‐tumor immunity in TP53‐deficient oral squamous cell carcinoma by inducing tumor‐derived secretion of CXCL10, which attracts and activates cytotoxic CD8+ T cells. The findings demonstrate that β‐adrenergic signaling alters tumor–immune interactions via CXCL10‐mediated paracrine activation, revealing a neuro‐immune ...
Frederico O. Gleber‐Netto +20 more
wiley +1 more source
cuteHap: Haplotype‐Aware Structural Variant Detection in Phased Long‐Read Sequencing Data
Advanced Science, EarlyView.cuteHap is a haplotype‐aware structural variant detection method designed for phased long‐read sequencing. By employing self‐adaptive clustering and credibility‐prioritized beam search algorithms, cuteHap generates accurate haplotype‐resolved calls and outperforms state‐of‐the‐art tools.
Shuqi Cao +7 more
wiley +1 more source