Results 141 to 150 of about 3,753,697 (367)
An AI‐powered, robot‐assisted framework automatically produces, images, and analyzes 3D tumor spheroids to evaluate drug efficacy. Integrated modules handle spheroid formation, live/dead staining, brightfield imaging, and automated image analysis, including spheroid segmentation, viability and metrics to assess the drug treatment efficacy. The workflow
Dalia Mahdy +13 more
wiley +1 more source
Tracking the Effects of Parenthood on Subjective Well-Being: Evidence from Hungary [PDF]
Márta Radó
openalex +1 more source
This article explores what drives households to adopt solar PV and battery systems in South East Queensland. Using hybrid discrete choice experiments, it reveals distinct adopter profiles and highlights cost, system size, and energy independence as key motivators.
Mohammad Alipour +3 more
wiley +1 more source
Racial differences in the income–well-being gradient
Existing research documents a log-linear relationship between income and subjective well-being, known as the income–well-being gradient. Using data from millions of Americans, mainly from the Gallup Daily Poll, we find significant racial differences in ...
Bouke Klein Teeselink +2 more
doaj +1 more source
Factors Subjective Well-Being Santri are Practicing Fasting Ngrowot
Maya Tsuroya Alfadla +1 more
openalex +1 more source
Urbanization and Subjective Well-Being
This chapter proposes a review of the most recent works developed by the authors on the association between urbanization and subjective well-being. While most previous studies point out a strong dichotomy between urban and rural areas, the latter being characterized by higher levels of well-being than the former, the research program presented here ...
C. Lenzi, G. Perucca
openaire +2 more sources
Multi‐Site Transfer Classification of Major Depressive Disorder: An fMRI Study in 3335 Subjects
The study proposes graph convolution network with sparse pooling to learn the hierarchical features of brain graph for MDD classification. Experiment is done on multi‐site fMRI samples (3335 subjects, the largest functional dataset of MDD to date) and transfer learning is applied, achieving an average accuracy of 70.14%.
Jianpo Su +14 more
wiley +1 more source

