The numbers of robots in organizations grow at an increasing rate. However, very little is known about how robotization (i.e., the implementation of robots at work) affects the work characteristics of the jobs it impacts. This qualitative study focus... read more
We present FinMMR, a novel bilingual multimodal benchmark tailored to
evaluate the reasoning capabilities of multimodal large language models (MLLMs)
in financial numerical reasoning tasks. Compared to existing benchmarks, our
work introduces three... read more
Annals of the New York Academy of Sciences
Aug 6, 2025
This paper develops an automated approach for conjunctival hyperemia grading from slit-lamp images using semisupervised learning. We conducted a retrospective study including slit-lamp images from two study sites. Two independent graders assessed the... read more
Analytical methods : advancing methods and applications
Aug 6, 2025
Single cell density is a key indicator for judging cell physiological state, crucial for studying cell function. However, existing measurement methods are often complex and time-consuming, limiting their efficiency in practical applications. To addre... read more
Multivariate time-series classification is pivotal in domains ranging from
wearable sensing to biomedical monitoring. Despite recent advances,
Transformer- and CNN-based models often remain computationally heavy, offer
limited frequency diversity, ... read more
Conventional approaches to material decomposition in spectral CT face challenges related to precise algorithm calibration across imaged conditions and low signal quality caused by variable object size and reduced dose. In this proof-of-principle stud... read more
Rare diseases, such as Mucopolysaccharidosis (MPS), present significant challenges to the healthcare system. Some of the most critical challenges are the delay and the lack of accurate disease diagnosis. Early diagnosis of MPS is crucial, as it has t... read more
Reliable uncertainty quantification is crucial for trustworthy
decision-making and the deployment of AI models in medical imaging. While prior
work has explored the ability of neural networks to quantify predictive,
epistemic, and aleatoric uncerta... read more
The Journal of neuroscience : the official journal of the Society for Neuroscience
Aug 6, 2025
The endogenous aspect of social influence, reflected in the spontaneous alignment of behaviors within close social relationships, plays a crucial role in understanding human social behavior. In two studies involving 222 human subjects (Study 1: = 17... read more
Graph-based Retrieval-Augmented Generation (GraphRAG) has recently emerged as
a promising paradigm for enhancing large language models (LLMs) by converting
raw text into structured knowledge graphs, improving both accuracy and
explainability. Howev... read more
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