Digital technology innovation, supply chain resilience and enterprise performance-The case of listed automotive parts manufacturing companies.

Digital technology innovation (DTI) is the core driving force for the development of the digital economy. This paper brings digital technology innovation and the supply chain of auto parts manufacturing under the same framework. This paper uses Stata 18 to empirically analyze the panel data of 130 A-share auto parts listed companies in Shanghai and Shenzhen from 2010 to 2022.

Analysis of performance degradation of an active pretensioning seatbelt in a real-world vehicle braking test.

Objective: Previous research has established the effectiveness of active pretensioning seatbelts (APS), also termed motorized pretensioning seatbelts, in mitigating forward leaning and out-of-position displacement during pre-crash scenarios. In the Chinese market, APS trigger times are typically set later than those reported in the literature. This study investigates the real-world performance of APS systems with delayed trigger times under emergency braking conditions.

Photon-mediated energy transfer between molecules and atoms in a cavity: A numerical study.

The molecular energy transfer is crucial for many different physicochemical processes. The efficiency of traditional resonance energy transfer relies on dipole-dipole distance between molecules and becomes negligible when the distance is larger than ∼10 nm, which is difficult to overcome. Cavity polariton, formed when placing molecules inside the cavity, is a promising way to surmount the distance limit.

Research on the application of functional near-infrared spectroscopy in differentiating subjective cognitive decline and mild cognitive impairment.

Introduction: Alzheimer's disease (AD) is a common neurological disorder. Based on clinical characteristics, it can be categorized into normal cognition (NC), subjective cognitive decline (SCD), mild cognitive impairment (MCI), and dementia (AD). Once the condition begins to progress, the process is usually irreversible.

Efficient coupling of dual beam combined laser into micro water jet for deep processing.

In order to improve the power and energy of water-jet-guided laser, this paper introduces a double beam water-jet-guided laser (DWJL) technology. Based spatially polarized light combination and temporal phase modulation, two lasers are effectively coupled into a water jet with diameter of 100 μm. The maximum output peak power reaches 100 kW and the maximum pulse energy is 4.

An Investigation into High-Accuracy and Energy-Efficient Novel Capacitive MEMS for Tire Pressure Sensor Application.

Tire pressure monitoring systems (TPMSs) are essential for maintaining driving safety by continuously monitoring critical tire parameters, such as pressure and temperature, in real time during vehicle operation. Among these parameters, tire pressure is the most significant, necessitating the use of highly precise, cost-effective, and energy-efficient sensing technologies. With the rapid advancements in micro-electro-mechanical system (MEMS) technology, modern automotive sensing and monitoring systems increasingly rely on MEMS sensors due to their compact size, low cost, and low power consumption.

Design and Evaluation of Ecological Interface of Driving Warning System Based on AR-HUD.

As the global traffic environment becomes increasingly complex, driving safety issues have become more prominent, making manual-response driving warning systems (DWSs) essential. Augmented reality head-up display (AR-HUD) technology can project information directly, enhancing driver attention; however, improper design may increase cognitive load and affect safety. Thus, the design of AR-HUD driving warning interfaces must focus on improving attention and reducing cognitive load.

Multi-Channel Fusion Decision-Making Online Detection Network for Surface Defects in Automotive Pipelines Based on Transfer Learning VGG16 Network.

Although approaches for the online surface detection of automotive pipelines exist, low defect area rates, small-sample and long-tailed data, and the difficulty of detection due to the variable morphology of defects are three major problems faced when using such methods. In order to solve these problems, this study combines traditional visual detection methods and deep neural network technology to propose a transfer learning multi-channel fusion decision network without significantly increasing the number of network layers or the structural complexity. Each channel of the network is designed according to the characteristics of different types of defects.

Personalized Shared Control for Automated Vehicles Considering Driving Capability and Styles.

The shared control system has been a key technology framework and trend, with its advantages in overcoming the performance shortage of safety and comfort in automated vehicles. Understanding human drivers' driving capabilities and styles is the key to improving system performance, in particular, the acceptance by and adaption of shared control vehicles to human drivers. In this research, personalized shared control considering drivers' main human factors is proposed.

Investigation into the Reinforcement Modification of Natural Plant Fibers and the Sustainable Development of Thermoplastic Natural Plant Fiber Composites.

Natural plant fibers (NPFs) have emerged as a sustainable alternative in the manufacture of composites due to their renewability and low environmental impact. This has led to a significant increase in the use of natural plant fiber-reinforced polymers (NPFRPs) in a variety of industries. The diversity of NPF types brings a wide range of properties and functionalities to NPFRPs, which in turn highlights the urgent need to improve the properties of fiber materials in order to enhance their performance and suitability.

Application of Fuzzy Adaptive Impedance Control Based on Backstepping Method for PAM Elbow Exoskeleton in Rehabilitation.

In this study, a fuzzy adaptive impedance control method integrating the backstepping control for the PAM elbow exoskeleton was developed to facilitate robot-assisted rehabilitation tasks. The proposed method uses fuzzy logic to adjust impedance parameters, thereby optimizing user adaptability and reducing interactive torque, which are major limitations of traditional impedance control methods. Furthermore, a repetitive learning algorithm and an adaptive control strategy were incorporated to improve the performance of position accuracy, addressing the time-varying uncertainties and nonlinear disturbances inherent in the exoskeleton.

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.

Sustained Release of Curcumin from Cur-LPs Loaded Adaptive Injectable Self-Healing Hydrogels.

Biological tissue defects are typically characterized by various shaped defects, and they are prone to inflammation and the excessive accumulation of reactive oxygen species. Therefore, it is still urgent to develop functional materials which can fully occupy and adhere to irregularly shaped defects by injection and promote the tissue repair process using antioxidant and anti-inflammatory mechanisms. Herein, in this work, phenylboronic acid modified oxidized hyaluronic acid (OHAPBA) was synthesized and dynamically crosslinked with catechol group modified glycol chitosan (GCHCA) and guar gum (GG) into a hydrogel loaded with curcumin liposomes (Cur-LPs) which were relatively uniformly distributed around 180 nm.

A Simple Surface Treatment for Improving the Adhesive Bonding Properties and Durability of an AlMg Alloy.

The structural adhesive bonding of aluminum is widely used in the aircraft and automotive industries. The surface preparation of aluminum prior to adhesive bonding plays a significant role in improving the bonding strength. Surface cleanliness, surface roughness, and surface chemistry can be controlled, primarily, by proper surface treatment methods.

Low-Temperature Sintering and Microwave Dielectric Properties of CuZnTiZrNbO Ceramics with the Aid of LiF.

NbO-type ceramics (where = Mg, Ca, Mn, Co, Ni, Zn and = Ti, Zr) are essential for satellite communication and mobile base stations due to their medium relative permittivity () and high quality factor ( × ). Although ZnTiZrNbO ceramic exhibits impressive microwave dielectric properties, including an of 29.75, a × of 107,303 GHz, and a of -24.

Influence of High-Speed Ram Transition Position on Porosity and Mechanical Properties of Large One-Piece Die-Casting Al-Si-Mn-Mg Aluminium Alloy.

The high-pressure die-casting process can effectively manufacture aluminium alloy castings with complex shapes and thin wall thicknesses. However, due to the complex flow characteristics of the liquid metal during the mould-filling process, there are significant differences in the mechanical properties of different parts of the casting. This paper analyses the effect of the high-speed ram transition position on porosity and mechanical properties of Al-Si-Mn-Mg aluminium alloys in the high-pressure die-casting (HPDC) process, comparing the 1160 mm and 1200 mm positions.

Research on the Influence of Liquid Metal Embrittlement Cracks on the Strength and Fatigue Life of Spot-Welded Joints of Galvanized Q&P980 Steel.

Galvanized high-strength steel has emerged as a key focus in automotive lightweighting research. During resistance spot welding of galvanized steel, the phenomenon of liquid metal embrittlement (LME) can occur, which is characterized by the appearance of irregular cracks on the weld spot surface. However, the impact of LME cracks on the mechanical properties of joints remains unclear.

Study on the Effect of Laser Power on the Microstructure and Properties of Cladding Stellite 12 Coatings on H13 Steel.

To address the issue of cracking in aluminum extrusion dies during operation, this study employs laser cladding technology to modify the surface of these dies. This modification aims to enhance their hardness and friction resistance. Laser cladding technology was utilized to coat the surface of H13 steel with Stellite 12, a cobalt-based alloy, at varying laser power levels.

Clozapine boosting N/Cl co-doped carbon skeleton synergistically optimizing NaV(PO) with superior performance and excellent thermal stability.

Nowadays, the limited electronic conductivity and structural deterioration during battery cycling have hindered the widespread application of NaV(PO) (NVP). In response to these challenges, we advocate for a technique involving the application of carbon modifications to NVP to enhance its suitability as cathode material. This work involves the synthesis of N/Cl co-modified in situ carbon coatings derived from clozapine (CZP) through a facile hydrothermal route.

Linear Enhanced 3D Nanofluid Force-Electric Conversion Device.

The inherent trade-off between permeability and selectivity has constrained further improvement of passive linear force-electric conversion performance in nanofluidic pressure sensors. To overcome this limitation, a 3D nanofluidic membrane with high mechanical strength utilizing aramid nanofibers/carbon nanofiber (ANF/CNF) dual crosslinking is developed. Due to the abundant surface functional groups of CNF and the high mechanical strength of ANF, this large-scale integrated 3D nanofluidic membrane exhibits advantages of high flux, high porosity, and short ion transport path, demonstrating superior force-electric response compared to conventional 1D and 2D configurations.

Preparation of Robust, Antireflective and Superhydrophobic Hierarchical Coatings on PMMA Substrates via Mechanical Locking and Chemical Bonding.

Antireflection (AR) coatings with mechanical robustness and superhydrophobic properties have wide potential applications in optical, electronic, and automotive fields. However, the fabrication of large-sized, robust, and multifunctional AR coatings on plastic/polymer substrates has been a challenging problem. In this study, we developed a bottom-up approach to produce mechanically robust, enhanced transmittance, and superhydrophobic coatings on poly(methyl methacrylate) (PMMA) substrate.

[Effects of muscle fatigue on urine metabolites in automobile manufacturing workers based on untargeted metabolomics].

To investigate the changes of metabolites in urine of automobile manufacturing workers with muscle fatigue using metabolomics technology, and to explore potential biomarkers and disrupted metabolic pathways. In July 2022, urine samples were collected from 35 male workers in a certain automobile manufacturing industry before and after muscle fatigue, and metabolite analysis was conducted. Subsequently, multivariate statistical analysis was used for data processing to screen differential metabolites.

Superhydrophilic PVDF membrane fabricated on modified TiO/CS-SDAEM nanoparticles deposited on GA/CNTs hydrophilic layer to achieve self-cleaning photodegradation and low contamination rate for dyestuff separation.

In this work CS-SDAEM polymer brushes with long-chain structure were synthesized, and TiO/CS-SDAEM nanoparticles were prepared by modifying them on the TiO surface. The prepared modified membrane can effectively degrade dyes through photocatalysis and can reduce the contamination rate of the membrane during use. The separation membrane achieves efficient removal of contamination by self-cleaning.

Evaluation of Treatment Effect and Mechanism Analysis of Ti6AL4V Porous Scaffolds Prepared by Selective Laser Melting with Different Chemical Polishing Processes.

The large amount of unfused powder that remains on the surface of Ti6AL4V porous scaffolds prepared by selective laser melting technology is a common problem. Therefore, this article investigated the effects of three different chemical polishing processes on the surface state, pore structure, and mechanical properties of small pore size scaffold materials at different polishing times in the field of implantable medical devices. The results show that the overall treatment effect of the simple chemical polishing process is poor, the internal treatment depth of porous support is insufficient and uneven, and the overall mechanical properties of the sample with the same porosity are average.