Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong +5 more
wiley +1 more source
A novel intuitionistic fuzzy Yager aggregation framework for decision making in green supply chains. [PDF]
Kumar Y, Ramalingam S, Zegeye GB.
europepmc +1 more source
Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh +3 more
wiley +1 more source
Correction: A multi-stakeholder fuzzy best-worst method analysis of key factors in remanufacturing production processes. [PDF]
Gao CM, Wong KY, Mohd Maulana MII.
europepmc +1 more source
Bipolar Intuitionistic M Fuzzy Group and Anti M Fuzzy Group.
K. Gunasekaran +2 more
openaire +1 more source
When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
A fuzzy ZE-number group decision-making framework using BWM and MABAC for risk assessment in medicinal plant extraction. [PDF]
Gheytasi F +5 more
europepmc +1 more source
Uncertainty‐Guided Selective Adaptation Enables Cross‐Platform Predictive Fluorescence Microscopy
Deep learning models often fail when transferred to new microscopes. A novel framework overcomes this by selectively adapting the early layers governing low‐level image statistics, while freezing deep layers that encode morphology. This uncertainty‐guided approach enables robust, label‐free virtual staining across diverse systems, democratizing ...
Kai‐Wen K. Yang +9 more
wiley +1 more source
Identification and prioritization of physiological and perceptual indicators for heat stress assessment in Iranian labor-intensive industries using Fuzzy Delphi and Fuzzy Analytic Hierarchy Process methods. [PDF]
Mousavi SM, Dehghan H, Yazdanirad S.
europepmc +1 more source

