Distractors are incorrect answer options designed to mislead or confuse test-takers in multiple-choice reading comprehension questions. In real-world exam settings, creating distractors for English reading comprehension questions is complex and ...

Recent advancements in Large Vision-Language Models (VLMs) have underscored their superiority in various multimodal tasks. However, the adversarial robustness of VLMs has not been fully explored. Existing methods mainly assess robustness through unimodal ...

Recently, with the development of nanotechnology and the emergence of new materials, Wireless Nanosensor Networks (WNSNs) have been presented. To address the problems of link instability in WNSNs and poor adaptability of the EBCNF framework to ...

In the realm of recommender systems, the ubiquitous adoption of deep neural networks has emerged as a dominant paradigm for modeling diverse business objectives. As user bases continue to expand, the necessity of personalization and frequent model ...

The development of nanotechnology and the emergence of new materials such as graphene make wireless nanosensor networks (WNSN) based on electromagnetic communication possible. Due to the energy, computing power and transmission distance carried ...

Photoacoustic computed tomography (PACT) is a non-invasive biomedical imaging technology that has developed rapidly in recent decades, especially has shown potential for small animal studies and early diagnosis of human ...

• The adaptive machine learning model (AMLM) improves photoacoustic image quality under sparse array sampling condition.
• AMLM predicts and completes the sampling data and suppresses artifacts in the reconstructed photoacoustic images.

The subway vehicle door system is a critical component of the railway vehicle, and its load-carrying transmission mechanism is more susceptible to failure or damage compared to other components. Conducting a quick and accurate evaluation analysis of its ...

In this paper, thalamo-cortico-thalamic neural mass model(NMM) which is consist of excitatory thalamo-cortical Relay (TCR) and inhibitory interneurons (IN) neural populations is applied to mimic the changes of electroencephalograph (EEG) in Alzheimer's ...

In order to investigate the abnormalities of brain connectivity in Alzheimer's disease (AD), and to improve the EEG recognition rate of AD, brain network of linear coherence was constructed to use background electroencephalogram (EEG) signals from ...

In order to investigate the changes of local brain regions and the differences of functional network and structural network in patients with Alzheimer's disease, the coherent functional network and structural network were constructed by using EEG ...

Intensity inhomogeneity and noises often occur in real medical images, which present a large degree of challenge to image segmentation. At the same time, most of the existing image segmentation algorithms are sensitive to initial conditions and ...

Inventory Routing Problem (IRP) is a typical optimization problem in logistics. To reduce the total cost, which contains the product transportation cost, the inventory holding cost, the customer satisfaction cost, etc., a wide range of impact factors have ...

Ultrasound imaging technology is developing rapidly and ultrasound images can provide a lot of information for doctors to diagnose. However, the same tissues and organs show large differences in edge strength in ultrasound images which may cause ...

Automatic segmentation for medical images is a fundamental task for scientific research and clinical application. Most reports focus on the active contour model or fuzzy clustering method independently, while integrating two methods properly may play an ...

Real-time prediction of dynamical characteristics of Dopamine (DA) neurons, including properties in ion channels and membrane potentials, is meaningful and critical for the investigation of the dynamical mechanisms of DA cells and the related ...

In this work, we proposed Normalized Permutation Index (NPI) to analysis the functional connectivity of EEG from human brain with Alzheimer’s disease. NPI is modified method of permutation disalignment index based on permutation entropy, and can ...

The deceleration capacity (DC) and acceleration capacity (AC) of heart rate are a pair of indices used for evaluating the autonomic nervous system (ANS). We assessed the role of heart rate asymmetry (HRA) in defining the relative performance of DC and AC ...