Results 211 to 220 of about 113,201 (294)
Skepticism and excitement when co-designing just-in-time mental health apps with minoritized youth. [PDF]
Figueroa CA +8 more
europepmc +1 more source
A statistical and machine learning‐assisted surface‐enhanced Raman scattering (SERS) framework is developed for label‐free quantification of low‐abundance analytes, including proteins. Combining digital SERS event counting with binomial regression and an artificial neural network (ANN) trained on full spectra, the approach achieves picomolar detection ...
Eni Kume, James Rice
wiley +1 more source
Failing to succeed: advancing mechanistic understanding of implementation strategies through retrospective and prospective use of causal pathway diagrams. [PDF]
Austad K +5 more
europepmc +1 more source
Material‐Based Intelligence: Autonomous Adaptation and Embodied Computation in Physical Substrates
This perspective formulates a unifying framework for Material‐Based Intelligence (MBI), defining the physical requirements for materials to achieve embodied action, active memory and embodied information processing through intrinsic nonequilibrium dynamics. The design of intelligent materials often draws parallels with the complex adaptive behaviors of
Vladimir A. Baulin +4 more
wiley +1 more source
Who Participates in Research and Why: Reducing Barriers to Diversifying Samples in Developmental Psychobiology. [PDF]
Tate M +5 more
europepmc +1 more source
Electrical impedance tomography (EIT) tactile skins enable multiplexed measurements that trade sensing speed against information richness. This work introduces an economy‐of‐touch framework that treats tactile sensing as an information‐budgeting problem.
Xiaoxian Xu, David Hardman, Fumiya Iida
wiley +1 more source
Nature prescription for patients with chronic respiratory diseases. [PDF]
Urrutia-Pereira M +14 more
europepmc +1 more source
[Book Review of] \u3cem\u3eGenetic Counseling: Facts, Values, and Norms,\u3c/em\u3e edited by Alexander M. Capron et al. [PDF]
Green, Michael
core +1 more source
An instance‐level, model‐agnostic explanation of class differentiation is introduced through SHAP‐LCD, linking probability shifts to feature‐wise Shapley contributions. The method operates on tabular and image data and is released in a fully reproducible implementation, offering a transparent way to examine, at each instance, why predictive models ...
Roxana M. Romero Luna +2 more
wiley +1 more source

