RMKD: Relaxed matching knowledge distillation for short-length SSVEP-based brain-computer interfaces.

Accurate decoding of electroencephalogram (EEG) signals in the shortest possible time is essential for the realization of a high-performance brain-computer interface (BCI) system based on the steady-state visual evoked potential (SSVEP). However, the degradation of decoding performance of short-length EEG signals is often unavoidable due to the reduced information, which hinders the development of BCI systems in real-world applications. In this paper, we propose a relaxed matching knowledge distillation (RMKD) method to transfer both feature-level and logit-level knowledge in a relaxed manner to improve the decoding performance of short-length EEG signals.

A Wideband Eight-Port MIMO Antenna with Reduced Mutual Coupling for Future 5G mm-Wave Applications.

An eight-element MIMO antenna with a neutralization line was utilized for future 5G mm-wave applications. The MIMO configuration was designed for two ports, four ports and eight ports to validate the desired impedance and radiation characteristics. The measured results in terms of MIMO and scattering parameters correlate well with the simulated one.

Self-Assembly Strategy for Synthesis of WO@TCN Heterojunction: Efficient for Photocatalytic Degradation and Hydrogen Production via Water Splitting.

Herein, a WO@TCN photocatalyst was successfully synthesized using a self-assembly method, which demonstrated effectiveness in degrading organic dyestuffs and photocatalytic evolution of H. The synergistic effect between WO and TCN, along with the porous structure of TCN, facilitated the formation of a heterojunction that promoted the absorption of visible light, accelerated the interfacial charge transfer, and inhibited the recombination of photogenerated electron-hole pairs. This led to excellent photocatalytic performance of 3%WO@TCN in degrading TC and catalyzing H evolution from water splitting under visible-light irradiation.

Research on Helical Electrode Electrochemical Drilling Assisted by Anode Vibration for Jet Micro-Hole Arrays on Tube Walls.

The electrochemical cutting technique, utilizing electrolyte flushing through micro-hole arrays in the radial direction of a tube electrode, offers the potential for cost-effective and high-surface-integrity machining of large-thickness, straight-surface structures of difficult-to-cut materials. However, fabricating the array of jet micro-holes on the tube electrode sidewall remains a significant challenge, limiting the broader application of this technology. To enhance the efficiency and quality of machining these jet micro-holes on the tube sidewall, a helical electrode electrochemical drilling method assisted by anode vibration has been proposed.

Clustering analysis of Yue opera character tone trends based on quantum particle swarm optimization for fuzzy C-means.

This study develops an innovative method for analyzing and clustering tonal trends in Chinese Yue Opera to identify different vocal styles accurately. Linear interpolation is applied to process the time series data of vocal melodies, addressing inconsistent feature dimensions. The second-order difference method extracts tonal trend features.

Enhanced K-storage kinetics for N-doped carbon via controllable dedoping strategy.

As a potential alternative to next-generation LIBs, carbonous materials have garnered significant attention as anode materials for potassium-ion batteries due to their low cost and environmental friendliness. However, carbonaceous materials cannot fulfill the demand of anode for PIBs, due to volume expansion and poor stability during charging/discharging process. It is well-known that N doping can provide active sites for K-storage, and expand the layer distance between graphite layers.

Bionic Modeling Study on the Landing Mechanism of Flapping Wing Robot Based on the Thoracic Legs of Purple Stem Beetle, .

Flapping wing micro aerial vehicles (FWMAVs) are recognized for their significant potential in military and civilian applications, such as military reconnaissance, environmental monitoring, and disaster rescue. However, the lack of takeoff and landing capabilities, particularly in landing behavior, greatly limits their adaptability to the environment during tasks. In this paper, the purple stem beetle (), a natural flying insect, was chosen as the bionic research object.

Separating nanobubble nucleation for transfer-resistance-free electrocatalysis.

Electrocatalytic gas-evolving reactions often result in bubble-covered surfaces, impeding the mass transfer to active sites. Such an issue will be worsened in practical high-current-density conditions and can cause sudden cell failure. Herein, we develop an on-chip microcell-based total-internal-reflection-fluorescence-microscopy to enable operando imaging of bubbles at sub-50 nm and dynamic probing of their nucleation during hydrogen evolution reaction.

Inverse stochastic resonance in a two-dimensional airfoil system with nonlinear pitching stiffness driven by Lévy noise.

The aircraft can experience complex environments during the flight. For the random actions, the traditional Gaussian white noise assumption may not be sufficient to depict the realistic stochastic loads on the wing structures. Considering fluctuations with extreme conditions, Lévy noise is a better candidate describing the stochastic dynamical behaviors on the airfoil models.

Engineering Polar Vortices via Strain Soliton Interactions in Marginally Twisted Multilayer Graphene.

Strain solitons have been widely observed in van der Waals materials and their heterostructures. They can manifest as one-dimensional (1D) wires and quasi-two-dimensional (2D) networks. However, their coexistence within the same region has rarely been observed, and their interplay remains unexplored.

Self-assembly of multi-arm star PEG containing TXA9 into nanoparticle for the efficient chemotherapy of NSCLC.

TXA9, a cardiac glycoside isolated from the root of Streptocaulon juventas (Lour.) Merr., with better therapeutic effect in vitro on non-small cell lung cancer (NSCLC) than cisplatin and has no toxic side effects on the body.

Research on accelerating the recycling efficiency of waste batteries for new energy vehicles based on a stochastic evolutionary game model.

Although the rapid development of new energy vehicles (NEV) has contributed greatly to China's carbon emission reduction, it has also brought about a problem that needs to be solved, namely the effective recycling of waste batteries. Existing recycling of waste batteries is plagued by a series of problems such as a single recycling channel, inconsistent recycling standards, lack of recycling technology, rampant irregular recycling enterprises, and low consumer participation. Meanwhile, due to the immaturity of the recycling market, the lack of clarity of existing regulations, and the lack of supervision and management, the above problems are becoming more and more serious.

Efficient recognition of Parkinson's disease mice on stepping characters with CNN.

Parkinson's disease (PD), as the second most prevalent neurodegenerative disorder worldwide, impacts the quality of life for over 12 million patients. This study aims to enhance the accuracy of early diagnosis of PD through non-invasive methods, with the goal of enabling earlier intervention in the disease process. To this end, we constructed an open-field environment using flexible sensors under dark conditions, conducting experiments on a mouse model of Parkinson's disease alongside a normal control group.

Effect of Thermal Reflow on Microstructural Morphology and Contact Mechanics in the Photo-Lithographic Fabrication of Biomimetic Adhesive Materials.

Bionic adhesive materials with 3D complex micro/nanostructures have several advantages of low preload, strong adhesion, switchable adhesion, etc. As the primary high-precision fabrication method for such materials, lithography is inherently limited by its 2D processing capabilities. Achieving complex 3D morphologies typically requires auxiliary processes, such as dipping and double-sided separate UV exposures, which increase both the complexity and limitations of the fabrication process.

Destabilization of Single-Atom Catalysts: Characterization, Mechanisms, and Regeneration Strategies.

Numerous in situ characterization studies have focused on revealing the catalytic mechanisms of single-atom catalysts (SACs), providing a theoretical basis for their rational design. Although research is relatively limited, the stability of SACs under long-term operating conditions is equally important and a prerequisite for their real-world energy applications, such as fuel cells and water electrolyzers. Recently, there has been a rise in in situ characterization studies on the destabilization and regeneration of SACs; however, timely and comprehensive summaries that provide the catalysis community with valuable insights and research directions are still lacking.

Synergistic governance efficiency of industrial pollution and CO emissions under the digital economy.

Using panel data for 284 Chinese cities, this study explores the nonlinear relationship between the digital economy and the synergistic governance efficiency of industrial pollution and CO emissions (SGEIPCE). The study also investigates the transmission mechanism of two-way knowledge flows within this relationship using the double fixed effect model and two-stage least square method. The results show that the digital economy has a significant U-shaped relationship on the SGEIPCE: the impact first decreases and then increases.

A synthesis method for zero-sum mean-payoff asynchronous probabilistic games.

The traditional synthesis problem aims to automatically construct a reactive system (if it exists) satisfying a given Linear Temporal Logic (LTL) specifications, and is often referred to as a qualitative problem. There is also a class of synthesis problems aiming at quantitative properties, such as mean-payoff values, and this type of problem is called a quantitative problem. For the two types of synthesis problems, the research on the former has been relatively mature, and the latter also has received huge amounts of attention.

Manipulating Charge Distribution at Organic-inorganic Interface via Optimizing Substituents for Sustainable Water Electrolysis.

The space charge effect induced by high-quality heterojunctions is essential for efficient electrocatalytic processes. Herein, we delicately manipulate intermolecular charge transfer by modifying substituents (-g = -CH3, -H, -NO2) with various electron donating/withdrawing capabilities in CoPc-g/CoS organic-inorganic heterostructures. CoPc-CH3, as a typical electron donor, transfers more electrons to CoS due to the presence of -CH3, forming the strongest space electric field and thus regulating the dual active sites at the interface.

Excellent acetone sensing enabled by tunable metal organic framework derived TiO nanodisks.

Annealing plays a crucial role for in enhancing the gas sensing properties of MOF-derived TiO (MIL-125). Generally, TiO transforms into different polymorphs (anatase, rutile, and brookite) during annealing, each with unique crystal structures and gas sensing properties. The aim of this research was to investigate the impact of annealing (500-650 °C) on the properties of MIL-125, which had not been previously studied.

Low-Impedance Hybrid Carbon Structures on SiO: A Sequential Gas-Phase Coating Approach.

Carbon coating on SiO surface is crucial for enhancing initial Coulombic efficiency (ICE) and cycling performance in batteries, while also buffering volume expansion. Despite its market prevalence, the effects of the carbon layer's quality and structure on the electrochemical properties of SiO remain underexplored. This study compares carbon layers produced via gas-phase and solid-phase coating methods, introducing an innovative technique that sequentially uses two gases to develop a low-impedance hybrid carbon structure.

Multi-channel spatio-temporal graph attention contrastive network for brain disease diagnosis.

Dynamic brain networks (DBNs) can capture the intricate connections and temporal evolution among brain regions, becoming increasingly crucial in the diagnosis of neurological disorders. However, most existing researches tend to focus on isolated brain network sequence segmented by sliding windows, and they are difficult to effectively uncover the higher-order spatio-temporal topological pattern in DBNs. Meantime, it remains a challenge to utilize the structure connectivity prior in the DBNs analysis.

Interfacial Water Orientation in Neutral Oxygen Catalysis for Reversible Ampere-Scale Zinc-Air Batteries.

The neutral oxygen catalysis is an electrochemical reaction of the utmost importance in energy generation, storage application, and chemical synthesis. However, the restricted availability of protons poses a challenge to achieving kinetically favorable oxygen catalytic reactions. Here, we alter the interfacial water orientation by adjusting the Brønsted acidity at the catalyst surface, to break the proton transfer limitation of neutral oxygen electrocatalysis.

Interstitial Doping in Ultrafine Nanocrystals for Efficient and Durable Water Splitting.

Transition metal-based catalysts with high efficiency and stability for overall water splitting (OWS) offer significant potential for reducing green hydrogen production costs. Utilizing sputtering deposition technology, we propose a deposition-diffusion strategy to fabricate heterojunction coatings composed of ultrafine FeCoNi-C-N transition metal interstitial solid solution (TMISS) nanocrystals and amorphous nitrided carbon (NC) on the pre-deposited NC micro column arrays. The diffusion of C and N atoms results in the formation of uniformly distributed TMISS nanocrystals, with an average diameter of ~1.

Cross-subject mental workload recognition using bi-classifier domain adversarial learning.

To deploy Electroencephalogram (EEG) based Mental Workload Recognition (MWR) systems in the real world, it is crucial to develop general models that can be applied across subjects. Previous studies have utilized domain adaptation to mitigate inter-subject discrepancies in EEG data distributions. However, they have focused on reducing global domain discrepancy, while neglecting local workload-categorical domain divergence.

Strategically Engineered Metal Cluster-Rare Earth Oxide Heterojunction Catalyst for High-Performance Lean Electrolyte Lithium-Sulfur Batteries.

Developing high-energy-density lithium-sulfur batteries faces serious polysulfide shuttle effects and sluggish conversion kinetics, often necessitating the excessive use of electrolytes, which in turn adversely affects battery performance. Our study introduces a meticulously designed electrocatalyst, Cu-CeO@N/C, to enhance lean-electrolyte lithium-sulfur battery performance. This catalyst, featuring in situ synthesized Cu clusters, regulates oxygen vacancies in CeO and forms Cu-CeO heterojunctions, thereby diminishing sulfur conversion barriers and hastening reaction kinetics through the generation of S/S intermediates.