Browse Articles

Knowledge, attitude, and practice of healthcare professionals toward sarcopenia

Research on reliability of capacitors and transistors based on BP neural network and Icepak simulation

Reply to: False positives in study of memory-related gene expression

Effects of progressive gaming sessions on cognitive awareness among Saudi education university students

Transformer-based prototype network for Chinese nested named entity recognition

Enhanced analog circuit fault diagnosis via continuous wavelet transform and dual-stream convolutional fusion

Abstract Analog circuit fault diagnosis is crucial for ensuring the reliability and safety of electronic systems. To overcome the limitations of traditional methods, this study proposes a novel analog circuit fault diagnosis method based on Continuous Wavelet Transform (CWT) and Dual-Stream Convolutional Neural Network (DSCNN). The method uses CWT to convert raw fault waveform data into two-dimensional time–frequency images and employs a one-dimensional convolutional neural network (1D-CNN) to extract temporal features and a two-dimensional convolutional neural network (2D-CNN) to extract image features, achieving feature fusion. Additionally, the model incorporates a Convolutional Block Attention Module (CBAM), which includes channel and spatial attention modules, to enhance the model’s expressive power. Experiments on the Sallen–Key band-pass filter circuit, four-op-amp biquad high-pass filter circuit, and Tow-Thomas filter circuit validate the effectiveness of the proposed method, demonstrating excellent fault classification accuracy. Their classification accuracies reached 1.0000 ± 0.0000, 99.66% ± 0.0016, and 0.9771 ± 0.0023, respectively. Under various SNR conditions, our proposed model consistently maintains the highest classification accuracy with minimal impact from SNR variations. Furthermore, detailed practical experiments on the four-op-amp biquad high-pass filter circuit show that this model outperforms 1DCNN, CWT-CNN, and ISSA-SVM by 3.85%, 5.50%, and 6.39%, respectively, further proving the model’s superior feature extraction capability.

Boosting the antioxidant power of Palmaria palmata using hydrogen peroxide

Abstract Palmaria palmata is a highly nutritious seaweed and a prime candidate for developing sustainable aquaculture of human foodstuff in the North Atlantic, but it faces challenges due to high prices and quality inconsistencies. The present study evaluated the use of hydrogen peroxide (H2O2) treatment to consistently enhance the antioxidant capacity of this species. Medium-term (3–7 days), moderate (0.1-1 mM) treatment led to increased phenolic content and antioxidant activity, up to 2.2- and 5.4-fold baseline values, respectively. Proteomics analyses were performed to compare in vitro results to abundances of specific proteins. Increases in antioxidant power were tied to a decrease in growth-related proteins; but were not positively correlated to any specific protein group. These results suggest a medium-term, phenolic-driven response. Additional benefits of H2O2 treatment, including its potential for biofouling mitigation, may make this approach highly valuable for improving the quality and consistency of P. palmata and enhancing its valorisation as a functional food and commercial viability.

Automated loss of pulse detection on a consumer smartwatch

A mathematical phase field model predicts superparamagnetic nanoparticle accelerated fusion of HeLa spheroids for field guided biofabrication

Disaster relief needs community trust — authorities must earn it

Spatial mapping of transcriptomic plasticity in metastatic pancreatic cancer

Research on the surface water quality in the Huaihe River Basin and the gensis based on multivariate statistical analysis

A lightweight scalable hybrid authentication framework for Internet of Medical Things (IoMT) using blockchain hyperledger consortium network with edge computing

Trade wars could affect food security in low-income nations

In-situ synthesis of g-C3N4 with nitrogen vacancy and cyano group via one-pot method for enhanced photocatalytic activity

GNNs surpass transformers in tumor medical image segmentation

European Union’s strict conservation targets should guide global marine policy

Influence of PEEK surface modification with titanium for improving osseointegration: an in vitro study

Prevalence and associated factors of work-related musculoskeletal disorder symptoms amongst emergency medical service workers

Shifting narrative perspective and construal level shape emotional response and enhance eudaimonic well-being

Abstract Understanding how people process and reflect upon past negative experiences is critical for promoting eudaimonic well-being. This study examined how psychological distance and construal level during autobiographical memory retrieval jointly influence post-recall affect and eudaimonic well-being. Participants retrieved negative autobiographical events initially from a 1st-person perspective and subsequently, on a separate day, from a 3rd-person perspective, thereby increasing psychological distance. During each retrieval, participants elaborated either at a high construal level (reflecting on the event’s broader meaning and life implications) or a low construal level (focusing on contextual details, such as location). After each retrieval, participants evaluated mnemonic characteristics of the recalled events, post-recall affective responses, and current eudaimonic well-being. Baseline measures included depression symptoms, dispositional construal level, and initial eudaimonic well-being. Results showed that high-level construal, compared to low-level construal, enhanced subjective vitality and search for meaning in life, while reduced negative post-recall affect. Shifting from a 1st-person to a 3rd-person perspective decreased emotional intensity and further increased meaning-seeking. Notably, beneficial effects of high construal level on eudaimonic well-being were more pronounced when recalling from the 1st-person (vs. 3rd-person) perspective. These findings offer new insights into Construal Level Theory and offer practical implications for expressive writing and well-being intervention.