Results 91 to 100 of about 9,029 (261)
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao +6 more
wiley +1 more source
Student throughput variables and properties: Varying cohort sizes
A recent research paper described how student throughput variables and properties combine to explain the behaviour of stationary or simplified throughput systems.
Lucas C.A. Stoop
doaj +1 more source
A Transformer‐based AI framework, DLINP, screens millions of compounds to identify Co68, a cobalt‐pincer organometallic complex that biases TLR4‐MD2 signaling toward antitumor interferon activation while suppressing inflammatory toxicity through an early TLR4‐SYK‐STAT1 axis.
Xuefei Guo +10 more
wiley +1 more source
Prediksi Mahasiswa Drop-Out Di Universitas XYZ
Akreditasi dan reputasi merupakan faktor krusial bagi setiap perguruan tinggi, termasuk Universitas XYZ. Salah satu hal yang dapat memengaruhi akreditasi adalah jumlah mahasiswa yang mengalami drop-out (DO).
Tubagus Ahmad Marzuqi +2 more
doaj +3 more sources
The Tuta absoluta salivary effector TaCRVP subverts tomato immunity by hijacking host catalase SlCAT2. Through a sophisticated dual mechanism, TaCRVP simultaneously promotes SlCAT2 tetramerization for activation and blocks its SlAdBiL‐mediated degradation for stabilization.
Jianquan Yan +9 more
wiley +1 more source
This study addresses the pressing issue of student dropout in higher education institutions and explores the potential of artificial intelligence (AI) to mitigate this challenge.
Radic Goran +6 more
doaj +1 more source
This study aims to identify and describe the implementation of the Smart Indonesia Program Policy or Program Indonesia Pintar (PIP) in the area of ??the Ministry of Religion, Sidoarjo Regency. The research method used is qualitative research.
Lilik Fadzlun +4 more
doaj
Artificial Intelligence‐Empowered Single‐Cell Phenotyping for Rapid, Automated Pathogen Diagnostics
This work presents an integrated diagnostic platform that combines microfluidic single‐cell bacterial detection with artificial intelligence‐driven analysis for rapid antimicrobial susceptibility testing. Single‐cell phenotyping enables assessment of antibiotic response in only a few cell replication cycles, while AI analysis supports precise bacterial
Sabita Khadka +3 more
wiley +1 more source
A flexible, hexagonally packed artificial dielectric providing a wide range of effective permittivities (εr ≈ 30–1400) without lumped elements was developed for clinical and ultra‐high‐field MRI. Combined with modular passive‐dipole arrays, the system enables adaptable RF field shaping through electric‐ and magnetic‐dipole tuning.
Santosh Kumar Maurya +2 more
wiley +1 more source
Oligosaccharides with defined glycosidic bonds drive divergent gut microbial succession and shape unique metabolic profiles. Absolute time‐series profiling with Bayesian generalized Lotka–Volterra modeling identifies bond‐specific microbial responders, while monoculture validation and metaproteomics reveal linkage‐matched transport and cleavage modules.
Xiaoxuan Lu +10 more
wiley +1 more source

