Research on Centroid Localization Method of Underground Space Ground Electrode Current Field Based on RSSI.

Aiming to solve the problems of communication interruption caused by the collapse of underground space, this study constructs a strong penetration information transmission system and proposes a centroid localization method based on the received signal strength indication (RSSI) in an underground space ground electrode current field. This is applicable to localization in underground space such as subways, mines, tunnels, etc., as well as under the environment of collapse.

Precise Control of Active Site Configurations in High-Entropy Intermetallic Compounds for Electrocatalytic Nitrate Reduction to Ammonia.

High-entropy alloys (HEAs), composed of five or more elements in similar proportions, exhibit unique physicochemical properties, but their disordered atomic structures pose challenges in the precise control of active sites. In contrast, high-entropy intermetallic compounds (HEIs), with an ordered atomic arrangement and well-defined atomic positions, provide clear active site configurations, making them particularly advantageous for complex electrocatalytic reactions like the nitrate reduction reaction (NORR). Herein, we present the FeCoNiGeSb-HEI with precisely controlled elemental distributions, leading to the formation of distinct active sites.

Analyzing the coupling coordination between aviation logistics and the regional economy: Identifying coupling mechanisms and critical influencing factors.

The relationship between aviation logistics and the regional economy (AL&RE) is mutually reinforcing. This study aims to develop a research framework for evaluating the coupling coordination level and identifying critical influencing factors in regional AL&RE by integrating the coupling coordination degree model with grey relational analysis. The framework is designed to guide regional policy formulation, fostering economic development through the coordinated advancement of AL&RE.

A simulation-based empirical study on the role of aviation logistics in driving high-quality and sustainable regional economic development: Focusing on dynamic mechanisms and key factors.

This study incorporates aviation logistics equipment into the analysis, considering current policy trends and development hotspots. By exploring the intricate relationship between aviation logistics and the regional economy, a System Dynamics model is created to identify the dynamic mechanisms and key factors that drive high-quality and sustainable regional economic development through aviation logistics. The primary objective is to establish a framework for resource allocation and policy adjustments tailored to regional needs.

A facial structure sampling contrastive learning method for sketch facial synthesis.

Sketch face synthesis aims to generate sketch images from photos. Recently, contrastive learning, which maps and aligns information across diverse modalities, has found extensive application in image translation. However, when applying traditional contrastive learning to sketch face synthesis, the random sampling strategy and the imbalance between positive and negative samples result in poor performance of synthesized sketch images regarding local details.

Attofarad-Class Ultra-High-Capacitance Resolution Capacitive Readout Circuits.

In order to meet the application requirements for high-precision and low-noise accelerometers in micro-vibration measurement and navigation fields, this paper presents the design and testing of an ultra-high-capacitance resolution capacitive readout circuit with attofarad-level precision. First, a differential charge amplifier circuit is employed for the first stage of capacitance detection. To suppress noise interference in the circuit, a frequency-domain modulation technique is utilized to mitigate low-frequency noise.

New 3D Ink Formulation Comprising a Nanocellulose Aerogel Based on Electrostatic Repulsion and Sol-Gel Transition.

New 3D printing aerogel materials are environmentally friendly and could be used in environmental protection and biomedical fields. There is significant research interest in 3D printing cellulose-based aerogels since cellulose materials are biocompatible and are abundant in nature. The gel-like nature of the cellulose water suspension is suitable for 3D printing; however, the complexity and resolution of the geometry of aerogels are quite limited, mainly due to the inks' low viscosity that fails to maintain the integrity of the shape after printing.

A 3D DC Electric Field Meter Based on Sensor Chips Packaged Using a Highly Sensitive Scheme.

This study presents a 3D DC electric field meter (EFM) that uses three identical 1D MEMS chips. The shielding electrodes and sensing electrodes of the MEMS chips employ a combination of rigid frames and short strip-type beams to improve vibrational stability. To enhance sensitivity, our MEMS chips feature inner convex packaging covers.

The Impact of AI Usage on Innovation Behavior at Work: The Moderating Role of Openness and Job Complexity.

In the context of the digital transformation era, the extensive application of artificial intelligence (AI) is profoundly altering the workplace environment, thereby underscoring the critical need to elucidate its impact on employee innovation behavior. Such insights are essential for optimizing human resource management and enhancing organizational competitiveness. Grounded in cognitive evaluation theory, this study explores the underlying mechanisms through which AI usage influences employee innovation behavior and develops an integrated theoretical model that incorporates both employee personality traits and job characteristics.

Stealth Materials Based on Laser-Induced Graphene: Developments and Challenges.

Laser-induced graphene (LIG) has become a promising stealth material due to its excellent electromagnetic loss characteristics in the terahertz and microwave bands (2-18 Ghz) and the advantages of low-cost large-scale manufacturing. With the rapid advancement of electromagnetic detection technologies toward multispectral and high-dynamic-range capabilities, there is an increasing demand for LIG-based stealth materials with superior absorption performance. The synergistic design of functional material doping and structural configurations has been identified as a critical approach to achieve high electromagnetic shielding performance in LIG-based composites.

Integrated microfluidic colorimetric patch with auto-framing APP for multiplex temporal detection of ketone bodies in sweat.

Ketone bodies are key products of fat metabolism, primarily consisting of acetoacetate (AcAc), β-hydroxybutyrate (BHB), and acetone (acetone). Monitoring the concentration of ketone bodies in sweat can reflect the metabolic status of the body; it is also particularly significant in areas such as diabetes management, exercise monitoring, and the evaluation of the ketogenic diet. This paper presents a microfluidic patch for sweat collection and multiplex detection of AcAc, BHB and glucose.

Defect detection method based on sparse scanning with laser ultrasonics.

The rapid development of metal additive manufacturing (AM) technology has led to its widespread application across various industries, with quality control of AM components being a current focal point of research. To enable on-line defect detection during the metal AM process using laser ultrasonic technology, this paper proposes a defect detection method based on sparse scanning. By employing sparse scanning to collect data, the method significantly improves detection efficiency while accurately characterizing the position and morphology of defects.

Distinguishing different proteins based on terahertz spectra by visual geometry group 16 neural network.

Detecting different kinds of proteins is of great significance for medical diagnosis, biological research, and other fields. We combine both terahertz (THz) absorption and refractive index spectra with the visual geometry group 16 (VGG-16) neural network to intelligently identify four proteins, namely albumin, collagen, pepsin, and pancreatin in this study. The THz absorption-refractive index spectra of the proteins were converted to two-dimensional image features by the Grassia angular summation field (GASF) method and used as a dataset, which enabled the VGG-16 model to achieve 98.

Rolling Bearing Fault Diagnosis Method Based on SWT and Improved Vision Transformer.

To address the challenge of low diagnostic accuracy in rolling bearing fault diagnosis under varying operating conditions, this paper proposes a novel method integrating the synchronized wavelet transform (SWT) with an enhanced Vision Transformer architecture, referred to as ResCAA-ViT. The SWT is first applied to process raw vibration signals, generating high-resolution time-frequency maps as input for the network model. By compressing and reordering wavelet transform coefficients in the frequency domain, the SWT enhances time-frequency resolution, enabling the clear capture of instantaneous changes and local features in the signals.

Real-Time Precision Tracking System in Periprosthetic Acetabular Osteotomy With Osteotome Chisel Elastic Deformation Consideration.

The periprosthetic acetabular osteotomy (PAO) is a commonly used technique in orthopedics for treating developmental hip dysplasia and hip dislocation, as the most effective treatment for developmental dysplasia of the hip (DDH). However, performing PAO can be challenging for surgeons due to limited visibility and difficulty in detecting any deformations of osteotome chisels when they are deeply immersed in the pelvis. These challenges can result in serious complications, such as excessive bleeding and nerve injuries.

Regulation of corn starch on the properties of tremella polysaccharide-egg white protein-orange juice composite gel and its application in 3D printing.

The purpose of this paper was to explore the regulation of corn starch (CS) on tremella fuciformis polysaccharide-egg white protein-orange juice (TFP-EWP-OJ) composite gel to develop a new 3D printing material. The results showed that the cylinder of TFP-EWP-OJ composite gel with 0.12 g/mL CS added had the best 3D printing structure and highest printing accuracy.

Defect detection in EBSM components through selective box fusion of modern object detection.

Additive Manufacturing (AM) technology has gained widespread application across various industries due to its capability to directly produce products from computer-aided design models. Among AM techniques, the Electron Beam Selective Melting (EBSM) process has attracted significant attention, particularly in aerospace and automotive industries, owing to its high precision, speed, and excellent material properties. However, various defects, especially internal defects that inevitably arise during the manufacturing process, significantly limit the performance of EBSM parts.

The impact of aesthetic education on university students' psychological wellbeing: exploring mediating and moderating effects.

With rising psychological concerns among college students, educators and scholars are increasingly emphasizing mental health. As a key component of university curricula, aesthetic education plays a significant role in enhancing the psychological wellbeing of college students. Grounded in Self-Determination Theory (SDT), which focuses on three fundamental psychological needs-autonomy, competence, and relatedness-this study explores how aesthetic education influences the psychological well-being of university students.

Exploring discrete rogue wave, hybrid wave, and their dynamics in a semi-discrete coherently coupled NLS equation featuring a 4 × 4 matrix spectral problem.

This paper delves into a semi-discrete coherently coupled nonlinear Schrödinger equation characterized by a 4×4 matrix spectral problem. Our primary objective is to explore the modulation instability theory of this equation, elucidating its formation mechanism from its plane wave solutions. Second, we aim to demonstrate that this equation can be transformed into a new continuous equation in the context of the continuous limit.

Effect of Electronic Performance Monitoring on Employees' Job Performance: A Social Information Processing Perspective.

In the digital era, to enhance performance and achieve high-quality development, an increasing number of enterprises have begun to implement electronic performance monitoring. However, existing studies have yielded inconsistent conclusions regarding the impact of electronic performance monitoring on employees' job performance. To clarify the overall relationship between these variables and explore the underlying causes of the discrepancies, this study, grounded in social information processing theory, examines the effects of two kinds of electronic performance monitoring (e.

Top Electrode-Free Electrochromic Device with Ultra-Flexibility and Wide Color Gamut Based on Porous Resonant Cavity.

Recently, various types of resonant cavities are widely fused with inorganic electrochromic material WO to compensate for its monotonous color modulation range. However, combining stabilized flexibility and vivid color performance in electrochromic devices is limited by the inherent brittleness and constrained transparency of commonly used top transparent electrodes, such as indium tin oxide (ITO). Herein, a novel top electrode-free structure of Cr/WO/Au metal-dielectric-metal (MDM) resonant cavity type flexible multicolor electrochromic device based on inner-layer porous Nylon 66 substrate is reported.

Design and simulation of mid-wavelength InAs/GaSb type-II superlattice avalanche photodiodes.

InAs/GaSb type-II superlattice (T2SL) avalanche photodiodes (APDs) are particularly well-suited for low-light detection and quantum communication due to their enhanced sensitivity. However, their performance is significantly impacted by dark current and breakdown voltage characteristics. Here, we explore the performance of T2SL APDs by analysing the relationship between the structural parameters of the absorption, charge, and multiplication layers, utilizing Silvaco software and the equivalent materials method.

Interface modification of hole transport layers in tin-based halide perovskite solar cells.

PSS is one of the most widely used hole transport materials in tin-based perovskite solar cells. However, the acid residues in PEDOT:PSS cause chemical/physical reactions with the ITO electrode. In this study, we utilized [2-(3,6-dimethoxy-9-carbazol-9-yl)ethyl]phosphonic acid (MeO-2PACz) and [4-(3,6-dimethyl-9-carbazol-9-yl)butyl] phosphonic acid (Me-4PACz) as buffer layers between PEDOT:PSS and ITO.

Hybrid CNN-Mamba model for multi-scale fundus image enhancement.

This study proposes a multi-scale fundus image enhancement approach that combines CNN with Mamba, demonstrating clear superiority across multiple benchmarks. The model consistently achieves top performance on public datasets, with the lowest FID and KID scores, and the highest PSNR and SSIM values, particularly excelling at larger image resolutions. Notably, its performance improves as the image size increases, with several metrics reaching optimal values at 1024 × 1024 resolution.

Deep Reinforcement Learning-Based Secrecy Rate Optimization for Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surface-Assisted Unmanned Aerial Vehicle-Integrated Sensing and Communication Systems.

This study investigates security issues in a scenario involving a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)-assisted unmanned aerial vehicle (UAV) with integrated sensing and communication (ISAC) functionality (UAV-ISAC). In this scenario, both legitimate users and eavesdropping users are present, which makes security a crucial concern. Our research goal is to extend the system's coverage and improve its flexibility through the introduction of STAR-RIS, while ensuring secure transmission rates.