Results 121 to 130 of about 19,101,034 (262)

Deciphering Anti‐Cancer Drug Efficacy Through Nanomechanical Vibrations in Living Gastric Cancer Organoids

open access: yesAdvanced Science, EarlyView.
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

open access: yes, 2018
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

open access: yes, 1992
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

open access: yesAdvanced Science, EarlyView.
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

open access: yes
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

Trustworthy Multimodal Attention Framework for Creep Rupture Life Prediction Under Data‐Scarce Conditions: A Case Study on IN718

open access: yesAdvanced Science, EarlyView.
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

open access: yes
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  

Machine Learning‐Driven Design of Multicomponent Bone Inorganic Matrix Mimicking Scaffolds for Osteogenesis Enhanced by Neurogenesis

open access: yesAdvanced Science, EarlyView.
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

Graded response model based on the logistic positive exponent family of models for dichotomous responses

open access: yes
item response theory, graded response model, logistic positive exponent family of models,
Fumiko Samejima
core   +1 more source

A Multidimensional Engineering Strategy Reprograms Microglia via Targeted and Sustained‐Release Extracellular Vesicles for Spinal Cord Injury Repair

open access: yesAdvanced Science, EarlyView.
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

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