Results 231 to 240 of about 951,451 (326)
Space-Filling Fractional Factorial Designs
Yong-Dao Zhou, Hongquan Xu
semanticscholar +1 more source
ABSTRACT Responsible innovation (RI) seeks to align innovation processes with societal values and ethical principles. Understanding how consumers perceive RI is crucial, as innovation failures often arise from mismatches between managerial intentions and consumer expectations.
Stefan Hoffmann +4 more
wiley +1 more source
BOP2-Comb: Bayesian Optimal Phase II Design for Optimizing Doses and Assessing Contribution of Components in Drug Combinations. [PDF]
Chi X, Yuan Y, Lin R.
europepmc +1 more source
Frequency tables for the coding invariant quality assessment of factorial designs
Ulrike Grömping
openalex +1 more source
ABSTRACT Energy labels help consumers understand the environmental impact of products. This drives consumer behavior. Knowing how label features are perceived can thus have important implications for design, policy, and management. Energy labels contain different design features that convey information about the range of available energy classes.
Emil Skog, Patrik Sörqvist
wiley +1 more source
Abstract Background and objectives Caregivers of progressive supranuclear palsy (PSP) patients frequently show significant distress. The Parkinsonism Carers quality of life (QoL) (PQoL Carer) is a valid tool evaluating the effect of PSP on caregivers' QoL.
Arianna Cappiello +73 more
wiley +1 more source
Alzheimer Combination Therapies: Overview and Scenarios. [PDF]
Cummings JL, Burstein AH, Fillit H.
europepmc +1 more source
Voice and Speech in Atypical Parkinsonian Disorders
Background Motor speech disorders are early, common, and functionally limiting features of atypical parkinsonian disorders (APDs) such as progressive supranuclear palsy (PSP), corticobasal syndrome (CBS), and multiple system atrophy (MSA). These impairments are underrecognized and undertreated in neurology clinics.
Federico Rodriguez‐Porcel +48 more
wiley +1 more source
Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu +3 more
wiley +1 more source
Informative data visualization with raincloud plots in JASP. [PDF]
Ott VL +10 more
europepmc +1 more source

