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Article
Image deep learning in fault diagnosis of mechanical equipment
With the development of industry, more and more crucial mechanical machinery generate wildness demand of effective fault diagnosis to ensure the safe operation. Over the past few decades, researchers have expl...
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Article
Transient liquid phase bonding method of SnIn for high-temperature packaging
With the increasing development of semiconductors materials and technology, higher demands are emphasized on the packaging methods and materials for the high-temperature electronics. In this investigation, a n...
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Article
Toward a solid microneedle patch for rapid and enhanced local analgesic action
Analgesic creams find widespread application as adjuncts for localized anesthesia prior to surgical procedures. Nevertheless, the onset of analgesic action is protracted due to the skin barrier’s inherent char...
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Article
Additive friction stir deposition induced stress ripples in aluminum alloy
In additive manufacturing, modification of the viscosity of softened or molten metal plays a significant role in the development of mechanical properties distribution. Similar to soft polymers, molten or softe...
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Article
Study on the metal flow and mechanical properties of extruded bent aluminum profile using a novel torsional channel self-bending process
Lightweight bent aluminum profiles are widely utilized in transportation fields. In this paper, the torsional channel self-bending extrusion process (TCSE) was adopted to machine AA6063 bent aluminum profiles ...
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Article
YOLO-HLFE: A UAV Perspective Target Detector With Hybrid Loss and Feature Enhancement Based on YOLOv7
Target detection from UAV perspective has been a very hot task in recent years. Due to the flying height of the UAV, the detection targets in the photographs are dense and small in scale, resulting in little a...
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Article
Recent advances and perspectives in MXene-based cathodes for aqueous zinc-ion batteries
Aqueous zinc-ion batteries (AZIBs) show great potential for applications in grid-scale energy storage, given their intrinsic safety, cost effectiveness, environmental friendliness, and impressive electrochemic...
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Article
Mechanistic insights into the synergetic remediation and amendment effects of zeolite/biochar composite on heavy metal-polluted red soil
Red soil, the most critical soil resource in tropical/subtropical regions worldwide, faces tremendous threats, including nutrient deficiency, acidification, and heavy metal contamination. There is a great dema...
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Article
Effect of Asymmetric Bottom Blowing on Melting Behavior of Steel Scrap in a Converter
The stirring energy of bottom blowing is one of the most important factors affecting the steel scrap melting in converter. In this paper, a three-dimensional turbulent-multiphase-solidification/melting-solute ...
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Article
Open AccessOn data efficiency of univariate time series anomaly detection models
In machine learning (ML) problems, it is widely believed that more training samples lead to improved predictive accuracy but incur higher computational costs. Consequently, achieving better data efficiency, that ...
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Article
Enhancing CO2 Hydrogenation to Methanol via Constructing Cu–ZnO–La2O3 Interfaces
Catalytic conversion of CO2 to methanol with H2 from renewable energy has attracted increasing interest as a promising strategy for reducing excessive CO2 emissions. However, the performance of reported various c...
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Article
Stress interference in multilayer additive friction stir deposition of AA6061 aluminum
Due to the multilayer deposition nature of metal additive manufacturing processes, each layer being printed experiences the state of thermokinetic and thermomechanical stress that in turn interfere with the st...
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Article
Fixed-time synchronization of fractional-order complex-valued delayed neural networks with discontinuous activation functions
This article concentrates on the fixed-time synchronization (FXTS) of fractional-order complex-valued delayed neural networks with discontinuous activation functions. On the basis of the nonsmooth analysis, di...
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Article
Open AccessPhotoacoustic Tomography with Temporal Encoding Reconstruction (PATTERN) for cross-modal individual analysis of the whole brain
Cross-modal analysis of the same whole brain is an ideal strategy to uncover brain function and dysfunction. However, it remains challenging due to the slow speed and destructiveness of traditional whole-brain...
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Article
Open AccessFacile Semiconductor p–n Homojunction Nanowires with Strategic p-Type Do** Engineering Combined with Surface Reconstruction for Biosensing Applications
A novel photoelectrochemical (PEC) photosensor composed of GaN nanowire-on-Si platform demonstrates record-high responsivity of 247.8 mA W−1 with ultra-stable operation charact...
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Article
Open AccessSurpassing millisecond coherence in on chip superconducting quantum memories by optimizing materials and circuit design
The performance of superconducting quantum circuits for quantum computing has advanced tremendously in recent decades; however, a comprehensive understanding of relaxation mechanisms does not yet exist. In thi...
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Article
Open AccessTranscriptomic profiling across human serotonin neuron differentiation via the FEV reporter system
The detailed transcriptomic profiles during human serotonin neuron (SN) differentiation remain elusive. The establishment of a reporter system based on SN terminal selector holds promise to produce highly-puri...
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Article
Restoration of constitutional alignment optimizes outcomes of computer navigated total knee arthroplasty: a prospective randomized controlled trial
The value of computer navigation in total knee arthroplasty (TKA) for arthritic knees continues to be debated. The purpose of this study was to evaluate the value of navigated TKA associated with updated align...
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Article
Multimodel Predictions on Converter Raw Material Addition Under GRNN Optimization: A Comparative Study
Due to the complexity of the steelmaking process, establishing predictive models for raw material addition has been a challenging problem. While statistical models and artificial neural networks have been exte...
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Article
Efficient Modeling of Composition-Dependent Lattice Constants of Multicomponent Metallic Solid Solutions Based on High-Throughput Experiment
The lattice constants of metallic solid solutions are composition-dependent and closely correlated to many physical properties such as solid solution strengthening and lattice misfit etc. The traditional way o...
