Results 51 to 60 of about 2,925,891 (315)
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
THE SUBJECTIVE MEASUREMENT OF PROBABILITY1
The article offers the method of subjective measurement of probability. For this purpose the concept of quantity which changes evenly from object to object is defined.
V. M. Romanchak
doaj
BackgroundWellbeing may have a protective role in health maintenance. However, no specific study clarified the particular protective effect of the subjective wellbeing of rural elderly people on survival probability.
Xian Li +7 more
doaj +1 more source
L’objectif principal de cette note est d’étudier la définition de la probabilité subjective d’Anscombe et Aumann [1963] et leurs contributions à la théorie de la décision. Nous mettons l’accent sur leurs idées principales et revisitons le cadre de travail qu’ils ont proposé et qui est devenu l’un des plus utilisés dans les axiomatiques de théorie de la
Bastianello, Lorenzo +1 more
openaire +1 more source
A Computational Theory of Subjective Probability [PDF]
In this article we demonstrate how algorithmic probability theory is applied to situations that involve uncertainty. When people are unsure of their model of reality, then the outcome they observe will cause them to update their beliefs.
Keane, Mark +3 more
core +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
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
The effect of probability discounting on reward seeking: a three-dimensional perspective
Rats will work for electrical stimulation pulses of the medial forebrain bundle. The rewarding effect arises from the volleys of action potentials fired by the stimulation and subsequent spatio-temporal integration of their post-synpatic impact.
Yannick-Andre eBreton +2 more
doaj +1 more source
Probabilities may be subjective or objective; we are concerned with both kinds of probability, and the relationship between them. The fundamental theory of objective probability is quantum mechanics: it is argued that neither Bohr's Copenhagen ...
Saunders, Simon
core
Ecologically‐Valid Emotion Signatures Enhance Mood Disorder Diagnostics
This study identifies ecologically‐valid Divergent Emotional Functional Networks (DEFN), derived from dynamic functional connectivity during naturalistic movie watching. The DEFN reliably enhances diagnostic accuracy for mood disorders, including major depressive and bipolar disorders, demonstrating strong reproducibility across demographic factors and
Shuyue Xu +6 more
wiley +1 more source

