Results 121 to 130 of about 19,101,034 (262)
This study developed an efficacy assessment platform that integrates patient‐derived gastric cancer organoids, atomic force microscopy (AFM)‐based nanomechanical vibration detection, deep learning analysis, and organoid mechanical modeling. It detects picomolar drug effects within 0.1 s signal, achieves 97% classification accuracy, and offers non ...
Ting Zhang +10 more
wiley +1 more source
9. Vorlesung (20.12.2018): Graded-Response-Modelle
Vorlesungsinhalte: Analyse der Gut-Schlecht-Skala des MDBF mit dem Partial-Credit-Model (Winmira); Graded-Response-Modelle mit Logit- und Probit-Linkfunktion; Analyse der Gut-Schlecht-Skala des MDBF mit Graded-Response-Modellen, mit Logit-
Multimediazentrum, Steyer, Rolf
core
Equating tests under the graded response model
The Stocking and Lord (1983) procedure for computing equating coefficients for tests having dichotomously scored items is extended to the case of graded response items.
Baker, Frank B.
core +1 more source
Physics‐Aware Machine‐Learning‐Driven Inverse Design of Broadband Ultra‐Open Acoustic Metamaterials
A physics‐aware machine‐learning framework enables inverse design of ultra‐open acoustic silencers by decoupling spectral and radial design spaces. The approach rapidly identifies broadband, compact, and highly ventilated architectures, while revealing hidden linear design rules that link geometry, impedance matching, and acoustic performance.
Zhiwei Yang +5 more
wiley +1 more source
Acceleration model in the heterogeneous case of the general graded response model
latent trait models, graded response models, item response theory, partial credit models, model evaluation, cognitive assessment, processing functions, operating characteristics,
Fumiko Samejima
core +1 more source
An attention‐based multimodal deep learning framework is developed to predict the creep life of Ni‐based superalloys by fusing processing parameters with microstructural micrographs. The model achieves high accuracy (R2 = 0.92), aligns with metallurgical principles by capturing δ‐phase influence, and incorporates uncertainty quantification, offering a ...
Haopeng Lv +10 more
wiley +1 more source
D3mirt [Elektronisk resurs] : Descriptive 3D Multidimensional Item Response Theory Modelling
For identifying, estimating, and plotting descriptive multidimensional item response theory models, restricted to 3D and dichotomous or polytomous data that fit the two-parameter logistic model or the graded response model.
Forsberg, Erik,
core
Schematic illustration of development of experimental datasets and algorithm models, screening and preparation of the scaffolds and their applications in vivo. ABSTRACT Bone defects require materials with osteogenic, neurogenic, and angiogenic activity, yet designing such materials within high‐dimensional compositional spaces remains challenging. Here,
Kunlu Lin +9 more
wiley +1 more source
item response theory, graded response model, logistic positive exponent family of models,
Fumiko Samejima
core +1 more source
A multifunctional EV‐based nanoplatform (Ang‐TEVs@Gel) was engineered via preconditioning, surface targeting, and ROS‐responsive hydrogel encapsulation to reprogram microglia. This system restored autophagy via miR‐664a‐3p/PIK3CA axis, cleared myelin debris, resolved neuroinflammation, and promoted axon remyelination, ultimately achieving robust motor ...
Wu Xiong +17 more
wiley +1 more source

