Results 141 to 150 of about 5,894,063 (275)
MAPA transforms complex multi‐omics data into biologically coherent functional modules by integrating pathway information with molecular interaction networks. Retrieval‐augmented large language models then generate structured, literature‐informed interpretations.
Yifei Ge +13 more
wiley +1 more source
A self‐adaptive gradient SCMN buffer layer is designed based on a conduction‐nucleation competition mechanism. The design dynamically optimizes ion/electron conduction and lithiophilicity, guiding dendrite‐free lithium deposition. Consequently, symmetric cells deliver exceeding 1600h at 1.5 mA cm−2, and the LiCoO2‐based full cells exhibit 98.5 ...
Yaru Shi +9 more
wiley +1 more source
Analysis of Grain Supply Chain Performance Based on Relative Impact of Channel Coordinator's Objectives on Firm Level Objectives [PDF]
A fuzzy multi-objective programming model is used to analyze the optimal decisions in a multi-objective grain supply chain in which the firm-level firm goals are conflicting with the channel coordinator's goals.
Mazzocco, Michael A. +1 more
core
In this study, an efficient screening system is developed for plant metabolites to find a compound, 7‐epi‐10‐deacetyltaxol, inhibits tissue elongation. It suppresses plant growth through brassinosteroid and microtubule pathways. It is later applied to animal cells and human tumor organoids, resulting in similar cell division suppression. These findings
Yan‐Jie Zhang +20 more
wiley +1 more source
The Janus nanomotors leverage an “asymmetric structure‐driven functional synergy” strategy to orchestrate spatiotemporally coordinated catalytic functions, in situ self‐amplifying NO generation, and deep tumor penetration, thereby enabling controllable, sustained, and uniform NO generation within the tumor microenvironment.
Chengcheng Li +6 more
wiley +1 more source
Solving Fully Fuzzy Linear Programming Problems using The Fuzzy Chaos Approach
In this paper, an application of fuzzy chaos to a fuzzy linear programming problem with fuzzy goals, fuzzy constraints, and fuzzy variables is proposed. The application of the fuzzy chaos approach to a fuzzy linear programming problem is demonstrated in a concrete case. The model is illustrated with a numerical example of the maximization of the profit
openaire +1 more source
DeepLNM: A Multimodal Model for Predicting Lymph Node Metastasis in Colorectal Cancer
Traditional diagnosis may miss positive LNM cases, and pathologists face a workload; therefore, we develop DeepLNM, a multimodal model that predicts lymph node metastasis in colorectal cancer from H&E WSIs, CT images, and text. DeepLNM is robust across internal, external, and prospective cohorts and, in a user study, improves diagnostic accuracy while ...
Zhengyu Zhang +24 more
wiley +1 more source
An integrated fuzzy multi-criteria decision making and mixed-integer linear programming optimization framework for project risk assessment and response strategy selection: A case study of a liquefied petroleum gas pipeline construction project. [PDF]
Senisel Bachari M +2 more
europepmc +1 more source
Fuzzy Goal Programming: a linear-fractional Approach
We propose a fuzzy approach to the solution of a multiobjective mathematical programming problem with fuzzy coefficients. We show that adding some not restrictive hypotheses transforms the problem into a linear parametric fractional programming one, wich
GIOVE, Silvio, CANESTRELLI, Elio
core
A Facial Foundation Model for Clinical Biomarker Prediction and Real‐World Mobile Deployment
MedicalFaceFound is a facial foundation model developed through three‐stage progressive pre‐training, adapting representations from general vision to facial structure and clinical phenotypes. Using a single facial image, it estimates 62 biomarkers across multiple physiological systems and supports downstream risk prediction for cardiovascular ...
Tingfeng Xu +15 more
wiley +1 more source

