Repairbads: An automatic and adaptive method to repair bad channels and segments for OPM-MEG.

The optically pumped magnetometer (OPM) based magnetoencephalography (MEG) system offers advantages such as flexible layout and wearability. However, the position instability or jitter of OPM sensors can result in bad channels and segments, which significantly impede subsequent preprocessing and analysis. Most common methods directly reject or interpolate to repair these bad channels and segments.

Fault diagnosis of nonlinear analog circuits using generalized frequency response function and LSSVM.

A fault diagnosis method of nonlinear analog circuits is proposed that combines the generalized frequency response function (GFRF) and the simplified least squares support vector machine (LSSVM). In this study, the harmonic signal is used as an input to estimate the GFRFs. To improve the estimation accuracy, the GFRFs of an analog circuit are solved directly using time-domain data.

Residual Stress Analysis at the Conductor-Insulator Interface During the Curing Process of Hair-Pin Motors.

The curing process of hair-pin motor stator insulation is critical, as residual stress increases the risk of partial discharge and shortens a motor's lifespan. However, studies on the stress-induced defects during insulation varnish curing remain limited. This research integrates three-dimensional numerical simulations and experimental analysis to develop a curing model based on unsaturated polyester imide resin, aiming to explore the mechanisms of residual stress formation and optimization strategies.

Deep learning-based aberration compensation improves contrast and resolution in fluorescence microscopy.

Optical aberrations hinder fluorescence microscopy of thick samples, reducing image signal, contrast, and resolution. Here we introduce a deep learning-based strategy for aberration compensation, improving image quality without slowing image acquisition, applying additional dose, or introducing more optics. Our method (i) introduces synthetic aberrations to images acquired on the shallow side of image stacks, making them resemble those acquired deeper into the volume and (ii) trains neural networks to reverse the effect of these aberrations.

Mechanical Properties and Fracture Mechanism of Selective Laser Melting Manufactured Nickel-Based Alloy by Small Punch Test Over a Wide Temperature Range.

The high-temperature mechanical properties and fracture mechanism of selective laser melting (SLM) manufactured nickel-based alloy are highly important for its application. In this article, small punch test (SPT) method is used to study the mechanical properties of SLM-manufactured GH4169 over a wide temperature range from 25°C to 600°C. With the increase of temperature, the decreasing ratio of maximum load is only 18.

3D printing of continuous cotton thread reinforced poly (lactic acid).

This paper purposed to prepare poly (lactic acid)/continuous cotton thread (PLA /CCT) filaments by using prepreg method, and investigated the properties of PLA/CCT filament and their 3D printed composites. Firstly, a prepreg device was home-made to immerse CCT with PLA melts. The effects of the dragging speed and tensioning equipment on the quality of PLA/CCT filament was investigated.

Surface Microstructure Enhanced Cryogenic Infrared Light Emitting Diodes for Semiconductor Broadband Upconversion.

Broadband upconversion has various applications in solar photovoltaic, infrared and terahertz detection imaging, and biomedicine. The low efficiency of the light-emitting diodes (LEDs) limits the broadband upconversion performance. In this paper, we propose to use surface microstructures to enhance the electroluminescence efficiency (ELE) of LEDs.

Node Classification Method Based on Hierarchical Hypergraph Neural Network.

Hypergraph neural networks have gained widespread attention due to their effectiveness in handling graph-structured data with complex relationships and multi-dimensional interactions. However, existing hypergraph neural network models mainly rely on planar message-passing mechanisms, which have limitations: (i) low efficiency in encoding long-distance information; (ii) underutilization of high-order neighborhood features, aggregating information only on the edges of the original graph. This paper proposes an innovative hierarchical hypergraph neural network (HCHG) to address these issues.

Study on Type IV Cracking Behavior of T92/Super304H Dissimilar Steel Welded Joints in Long-Term Service.

The microstructure and residual mechanical properties of several groups of T92/Super304H dissimilar steel welded joints (hereinafter referred to as welded joints) in service for 70,000~85,000 h were analyzed. The results show that the early service history of the welded joint results in the polygonization of the martensite lath and the coarsening of the precipitated phase on the side of T92 steel. In the further creep process, the cavities nucleate along the precipitated phase interface and the triple junction grain boundary.

Exploring new approach for resource utilization of crab shell waste: Optimized microwave torrefaction parameters and efficient self-desulfurization.

Finding alternative energy sources and reducing the impact of waste on the environment are pressing global challenges. Crab shells possess the dual characteristics of a pollutant and a resource; therefore, transforming them into clean energy is an urgent issue that needs to be addressed for reducing environmental pollution. This study uses microwave torrefaction to treat crab shell waste efficiently and optimizes the torrefaction conditions through response surface methodology to rapid prepare derived fuel.

Improving CO desorption performance in monoethanolamine solutions by adding titanium pyrophosphate catalyst.

Catalytic CO desorption has emerged as a crucial strategy for enhancing the efficiency of CO capture and reducing energy requirements, thereby advancing chemical absorption methods. This study examines the catalytic effectiveness of titanium pyrophosphate (TiPO) in improving monoethanolamine (MEA)-based CO absorption and desorption processes, comparing its performance with other titanium-based catalysts, including titanium dioxide (TiO), titanium tetrahydroxide (TiO(OH)), and titanium carbide (TiC). In TiPO, Ti ions function as Lewis acid sites by accepting electron pairs (LASs), PO anions act as proton carriers, facilitating rapid proton transfer as Lewis base sites (LBSs), and active hydroxyl groups on the surface, resulting from water molecule dissociation or the deprotonation reaction, function as Brönsted acid sites (BASs).

A Single Tube RPA/Cas12a Based Diagnostic Assay for Early, Rapid and Efficient Detection of in Sweet Cherry.

The fungus Botrytis cinerea is a devastating plant pathogen that causes gray mold rot in many fruits and vegetables, leading to substantial losses globally. The pathogen induces a broad range of symptoms, making it challenging to differentiate from other pathogens, especially when plants exhibit no symptoms during visual inspection. Therefore, an efficient early warning and rapid detection system is crucial for surveillance and monitoring plant health, as well as for quantitative pathogen risk assessment to reduce microbial risks.

Pectin/caffeic acid nanoparticles in a poloxamer thermosensitive gel for the treatment of ulcerative colitis by inhibiting cGAS-STING pathway.

Ulcerative colitis is a recurring condition that causes inflammation and sores in the digestive system. Current clinical treatments for ulcerative colitis have limitations due to side effects and poor patient compliance. This study investigates the therapeutic potential of a novel drug delivery system, CA-Gel, which comprises caffeic acid (CA) stabilized by pectin nanoparticles within a poloxamer thermosensitive gel for rectal administration.

Application of recombinase polymerase amplification with lateral flow assay to pathogen point-of-care diagnosis.

Since the outbreak of the new coronavirus, point-of-care diagnostics based on nucleic acid testing have become a requirement for the development of pathogen diagnostics, which require the ability to accurately, rapidly, and conveniently detect pathogens. Conventional nucleic acid amplification techniques no longer meet the requirements for pathogen detection in low-resource, low-skill environments because they require specialist equipment, complex operations, and long detection times. Therefore, recombinant polymerase amplification (RPA) is becoming an increasingly important method in today's nucleic acid detection technology because it can amplify nucleic acids in 20-30 minutes at a constant temperature, greatly reducing the dependence on specialist equipment and technicians.

Buried PE Pipeline Location Method Based on Double-Tree Complex Wavelet Cross-Correlation Delay.

This study presents a location method for buried polyethylene (PE) pipelines based on the double-tree complex wavelet cross-correlation delay. Initially, the dual-tree complex wavelet transform (DTCWT) is applied to denoise the acquired signal, followed by extracting the delay time through the cross-correlation function to locate the buried pipeline. A simulation model is established to analyze the peak values of the time-domain signals in both asymmetric and symmetric sensor layouts using COMSOL, determining the relationship between the signal time differences and pipeline positions.

Location Method of Buried Polyethylene Gas Pipeline Based on Acoustic Signal Ellipse Method.

This study proposes a buried PE gas pipeline positioning method based on the elliptical method of an acoustic signal analysis. The cross-correlation time delay positioning technology is combined with the elliptical equation, forming an effective mechanism for pipeline depth positioning. First, a dual-tree complex wavelet transform is employed to denoise the collected signals, enhancing the quality and accuracy of the data.

Molecular Mechanism: Inhibition of T-2 Toxin Synthesis by Surfactin in Dried Fish: Induction of Nucleation by ROS Accumulation.

(1) T-2 toxin synthesized by () can cause deterioration of dried fish and endanger human health. (2) The molecular mechanism by which antibacterial lipopeptides surfactin inhibited growth and toxin production was elucidated by investigating the intracellular ROS production pathway and the subcellular distribution and transcriptional activity of the transcription factor and its regulation of gene in . (3) Surfactin caused hyphal damage and nucleic acid and protein leakage; thus, the growth of was disrupted.

Modal analysis of PE pipeline under seabed dynamic pressure.

This paper presents a modal analysis conducted under seabed dynamic pressure conditions. The polyethylene (PE) pipeline was approximated as a thin-walled long cylindrical shell. The impact of pressure on the pipeline structure was considered, the study investigated the circumferential dynamic characteristics.

Miniaturized, portable gustation interfaces for VR/AR/MR.

Gustation is one of the five innate sensations for humans, distinguishing from vision, auditory, tactile, and olfaction, as which is a close and chemically induced sense. Despite the fact that a handful of gustation display technologies have been developed, the new technologies still pose significant challenges in miniaturization of the overall size for portability, enriching taste options within a limited working area, supporting natural human-device interaction, and achieving precisely controlled taste feedback. To address these issues, here, we report a set of intelligent and portable lollipop-shaped taste interfacing systems covering from 2 to 9 different taste options for establishing an adjustable taste platform in virtual reality (VR), augmented reality (AR), and mixed reality (MR) environments.

V-FCW: Vector-based forward collision warning algorithm for curved road conflicts using V2X networks.

The implementation of advanced driver assistance systems (ADAS) has significantly impacted the prevention of traffic accidents, particularly through the forward collision warning (FCW) algorithm. Nevertheless, traffic conflicts on traffic routes remain a significant issue, since most FCW algorithms cannot accurately determine the distance between the host vehicle (HV) and remote vehicle (RV) on curved roads. Hence, this study proposes a vector-based FCW (V-FCW) algorithm to address the issue of false warnings on unconventional road sections.

Enhancing domain-specific text generation for power grid maintenance with P2FT.

The digitization of operation and maintenance in the intelligent power grid equipment relies on a diverse array of information for smart decision-making. In the domain of intelligent decision generation, proficiency is contingent upon extensive learning from copious amounts of text. This necessitates not only robust processing capabilities but also a high level of specialization.