Publications by authors named "Hongfang Han"

For privacy protection of subjects in electroencephalogram (EEG)-based brain-computer interfaces (BCIs), using source-free domain adaptation (SFDA) for cross-subject recognition has proven to be highly effective. However, updating and storing a model trained on source subjects for each new subject can be inconvenient. This paper extends Euclidean alignment (EA) to propose adaptive Euclidean alignment (AEA), which learns a projection matrix to align the distribution of the target subject with the source subjects, thus eliminating domain drift issues and improving model classification performance of subject-independent BCIs.

View Article and Find Full Text PDF

In the context of China's green development and "dual carbon" goal, urbanization, as a way to achieve Chinese modernization, has a particularly important effect on green and low-carbon economic development. Firstly, this paper empirically analyzed the influence of urbanization on per capita carbon emissions using Chinese city data and a panel fixed-effects model. Then, the impact mechanisms of urbanization on carbon emissions were examined from both the demand and supply sides.

View Article and Find Full Text PDF

Recent studies have demonstrated that the analysis of brain functional networks (BFNs) is a powerful tool for exploring brain aging and age-related neurodegenerative diseases. However, investigating the mechanism of brain aging associated with dynamic BFN is still limited. The purpose of this study is to develop a novel scheme to explore brain aging patterns by constructing dynamic BFN using resting-state functional magnetic resonance imaging data.

View Article and Find Full Text PDF

It has been confirmed that motor imagery (MI) and motor execution (ME) share a subset of mechanisms underlying motor cognition. In contrast to the well-studied laterality of upper limb movement, the laterality hypothesis of lower limb movement also exists, but it needs to be characterized by further investigation. This study used electroencephalographic (EEG) recordings of 27 subjects to compare the effects of bilateral lower limb movement in the MI and ME paradigms.

View Article and Find Full Text PDF

As the world's largest developing country, China is facing the serious challenge of reducing carbon emissions. The objective of this study is to investigate how China's aging population affects carbon emissions from the production and consumption sides based on an improved Kaya model. The advantage of the Kaya model is that it links economic development to carbon dioxide generated by human activities, which makes it possible to effectively analyze carbon emissions in relation to the structure of energy consumption and human activities.

View Article and Find Full Text PDF

Recent studies show that overlapping community structure is an important feature of the brain functional network. However, alterations in such overlapping community structure in Alzheimer's disease (AD) patients have not been examined yet. In this study, we investigate the overlapping community structure in AD by using resting-state functional magnetic resonance imaging (rs-fMRI) data.

View Article and Find Full Text PDF

The discriminative spatial patterns (DSP) algorithm is a classical and effective feature extraction technique for decoding of voluntary finger premovements from electroencephalography (EEG). As a purely data-driven subspace learning algorithm, DSP essentially is a spatial-domain filter and does not make full use of the information in frequency domain. The paper presents multilinear discriminative spatial patterns (MDSP) to derive multiple interrelated lower dimensional discriminative subspaces of low frequency movement-related cortical potential (MRCP).

View Article and Find Full Text PDF

Cervical carcinoma is the most common gynecological cancer in women worldwide. Emerging evidence has shown that long non-coding RNAs (lncRNAs) participate in multiple biological processes of cervical carcinoma tumorigenesis. We aimed to investigate the function of a novel lncRNA RP11-284F21.

View Article and Find Full Text PDF

MicroRNAs are emerging as critical regulators in various fundamental biological processes, including tumor progression. MicroRNA-219-5p (miR-219-5p) has been suggested as a novel tumor suppressing miRNA for many types of human cancers. However, the expression and functional significance of miR-219-5p in epithelial ovarian cancer remain poorly understood.

View Article and Find Full Text PDF

Objective To study the changes of plasma T helper type I (Th1)-and Th2-chemokine levels and analyze their roles in immune response and pathogenesis of early syphilis. Methods Heparin-anticoagulated peripheral blood was collected from 56 patients with early syphilis (primary syphilis, PS, n=22; secondary syphilis, SS, n=34) and healthy controls (HC, n=20). The levels of plasma Th1 chemokines including monokine induced by interferon-γ (MIG), interferon-γ inducible protein-10 (IP-10), interferon-inducible T-cell α chemoattractant (I-TAC) and Th2 chemokines including thymus-and activation-regulated chemokine (TARC), macrophage-derived chemokine (MDC) were examined using ELISA.

View Article and Find Full Text PDF

T-helper (Th) 17 and the more recently identified Th22 cells are of great importance in host defense against pathogens, but can also be responsible for chronic inflammatory disorders. However, the roles of the two cell subsets in syphilis remain elusive. In this study, we show that the frequencies of Th17 and Th22 cells are significantly increased in the peripheral blood of patients with secondary syphilis (SS).

View Article and Find Full Text PDF