Publications by authors named "Xinming Zhang"

Background: Subjective wellbeing (SWB) is an important indicator of mental health, and physical activity (PA) has been shown to have a positive impact on SWB. However, the specific pathways through which PA enhances SWB via psychological mechanisms remain unclear. Cognitive regulation theory suggests that emotional experiences are influenced by cognitive processes, where rumination (RT) and mindfulness (MDS) play key roles in regulating emotional states.

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In this paper, an Enhanced Greylag Goose Optimization Algorithm (EGGO) based on evolutionary game theory is presented to address the limitations of the traditional Greylag Goose Optimization Algorithm (GGO) in global search ability and convergence speed. By incorporating dynamic strategy adjustment from evolutionary game theory, EGGO improves global search efficiency and convergence speed. Furthermore, EGGO employs dynamic grouping, random mutation, and local search enhancement to boost efficiency and robustness.

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This article focuses on optimizing the evaporation and atomization performance of the evaporator tube in the combustion chamber of a microturbine engine, and examines its impact on engine thrust. Given that the evaporator tube design is crucial for enhancing combustion efficiency as a key component of the combustion chamber, this study introduces an innovative evaporator tube structure that incorporates biomimetic design principles through theoretical exploration. The proposed structure adds specifically sized grooves to the inner wall of traditional evaporation tubes to improve the evaporation and atomization processes of fuel droplets.

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While ultrafast charging and discharging is highly desired for energy storage, the densely packed crystalline inorganic electrodes suffer from sluggish ion transport that limits this capability. Here we report two-dimensional vertical ladder polymer cathode materials that feature layered nanosheets with rich intralayer pores and structural defects alongside weak interlayer interactions. This structural design allows lithium ions to migrate vertically across the intrinsic pores and/or defects accompanied by horizontal intercalation, thus establishing a cross-flow pathway for lithium storage.

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With the widespread use of sensors in applications such as autonomous driving and intelligent security, stable and efficient target tracking from diverse sensor data has become increasingly important. Self-supervised visual tracking has attracted increasing attention due to its potential to eliminate reliance on costly manual annotations; however, existing methods often train on incomplete object representations, resulting in inaccurate localization during inference. In addition, current methods typically struggle when applied to deep networks.

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With the increasing demand of consumers for food preservation materials, the development of high-performance active packaging films has become a research hotspot. This study constructed a novel chondroitin sulfate-zein nanoparticles system co-encapsulating curcumin and resveratrol (ZCRC NPs) for gelatin-based active packaging, modified by atmospheric cold plasma (ACP) to achieve multifunctional enhancement. The ACP-treated composite film exhibited significantly improved in physical properties, with opacity increasing to 1.

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Metal phthalocyanines are considered as potent catalysts in lithium-sulfur (Li-S) chemistry. However, their adsorption capability is deficient to inhibit polysulfides from shuttling, which in turn retards the S-redox reaction in the cathode. Here we report flexible, two-dimensional (2D) polyphthalocyanine-crown-ether (PPc-CE) frameworks that provide a supramolecularly confined space created with the single-atom catalytic nickel phthalocyanine nodes and crown-ether linkers as Li host.

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BackgroundThe etiology of burning mouth syndrome (BMS) patients remains unclear and systemic conditions concurrently with BMS are viewed with greater scrutiny. The present study aimed to reveal whether gastroesophageal reflux disease (GERD) is the possible comorbidity of BMS.MethodsIn our study, a real-world design was employed, enrolling BMS patients from an oral medicine clinic and capturing data in a non-interventional, cross-sectional setting.

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Automated Guided Vehicles (AGVs) face dynamic and static obstacles in the process of transporting patients in medical environments, and they need to avoid these obstacles in real time. This paper proposes a bionic obstacle avoidance strategy based on the adaptive behavior of antelopes, aiming to address this problem. Firstly, the traditional artificial potential field and dynamic window algorithm are improved by using the bionic characteristics of antelope migration.

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Porcine circovirus type 2 (PCV2) is a significant pathogen responsible for porcine circovirus-associated diseases (PCVAD), and it is widely prevalent in pig farms, leading to huge economic losses for the pig industry. Currently, the ability of PCV2 to enhance its own replication by using the antiviral inflammatory factors IFNα, IFNβ, and IL-2 and its complex immune escape mechanism remain unclear, which has attracted wide attention. Research has indicated that GTPase-activating protein (SH3 domain)-binding protein 1 (G3BP1) is involved in the innate immune response to a variety of viruses, primarily by regulating and composing stress granules (SGs) to inhibit viral replication.

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The introduction of fluorescence imaging (FLI) in near-infrared II sub-channels (NIR-IIb, 1500-1700 nm) has revolutionized the ability to explore complex patho-physiological settings . Despite the transformative potentials, the development of organic NIR IIb dyes encounters considerable difficulties, and only a limited number of such fluorophores have been developed so far. This review systematically introduces design strategies of organic NIR-IIb fluorophores classified by molecular scaffolds, mainly including cyanine dyes and D-A-D small molecule dyes.

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Adjuvants are non-specific immune enhancers commonly used to improve the responsiveness and persistence of the immune system toward antigens. However, due to the undefined chemical structure, toxicity, non-biodegradability, and lack of design technology in many existing adjuvants, it remains difficult to achieve substantive breakthroughs in the adjuvant research field. Here, a novel adjuvant development strategy based on stapling peptides is reported to overcome this challenge.

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Inspection robots, which improve hazard identification and enhance safety management, play a vital role in the examination of high-risk environments in many fields, such as power distribution, petrochemical, and new energy battery factories. Currently, the position precision of the robots is a major barrier to their broad application. Exact kinematic model and control system of the robots is required to improve their location accuracy during movement on the unstructured surfaces.

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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.

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Primary cilia, functioning as crucial hubs for signal sensing and transduction, are integral to the development and maintenance of homeostasis across various organs. However, their roles in tooth homeostasis and repair remain inadequately understood. In this study, we reveal an indispensable role for primary cilia in regulating the homeostasis and regeneration of teeth, primarily through the regulation of cell proliferation.

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Utilizing microbial fuel cells (MFCs) technology to simultaneously achieve efficient biopower generation and pollutant degradation is a persistent pursuit. However, the limited rate of extracellular electron transfer (EET) and the availability of electrode materials remain key factors limiting the practical application of MFCs. In this article, modified carbon derived from cyanobacteria is applied to modify electrodes and assemble MFCs.

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Article Synopsis
  • A lightweight YOLOv5-Lite-s neural network was implemented on embedded devices to automate the recognition and positioning of traffic cones during highway maintenance operations.
  • The system utilized a shuffle Net backbone for efficient feature extraction and modified convolutional layers to enhance speed while preserving model accuracy.
  • Experimental results indicated that the system could recognize cones with about 89% accuracy at 9 frames per second, successfully supporting cone operations at a rate of 30 cones per minute while maintaining stability in various environmental conditions.
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This paper introduces an enhanced Whale Optimization Algorithm, named the Multi-Swarm Improved Spiral Whale Optimization Algorithm (MISWOA), designed to address the shortcomings of the traditional Whale Optimization Algorithm (WOA) in terms of global search capability and convergence velocity. The MISWOA combines an adaptive nonlinear convergence factor with a variable gain compensation mechanism, adaptive weights, and an advanced spiral convergence strategy, resulting in a significant enhancement in the algorithm's global search capability, convergence velocity, and precision. Moreover, MISWOA incorporates a multi-population mechanism, further bolstering the algorithm's efficiency and robustness.

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Background: Epidermal growth factor receptor (EGFR) is a major target for the treatment of colorectal cancer. Thus, anti-EGFR antibody conjugated lipid-polymer hybrid nanoparticles can offer a potential means of enhancing the efficacy of chemotherapeutics in EGFR overexpressing cancers. In addition, the combination of chemotherapy and photothermal therapy is a promising strategy for cancer treatment.

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Background: Metal implants may affect the image quality, iodine concentration (IC), and CT Hounsfield unit (HU) quantification accuracy.

Purpose: To investigate the quantitative accuracy of IC and HU from dual-layer spectral detector (DLCT) in the presence of metal artifacts.

Material And Methods: An experimental cylindrical phantom containing eight iodine inserts and two metal inserts was designed.

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Mobile robots play an important role in the industrial Internet of Things (IIoT); they need effective mutual communication between the cloud and themselves when they move in a factory. By using the sensor nodes existing in the IIoT environment as relays, mobile robots and the cloud can communicate through multiple hops. However, the mobility and delay sensitivity of mobile robots bring new challenges.

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Article Synopsis
  • The study introduces a new dual-mode molecular probe called NIR-CE, which uses near-infrared fluorescence and photoacoustic imaging to detect tumors based on carboxylesterase (CE) levels.
  • *NIR-CE transforms into a product that allows it to identify high CE levels in tumor cells, particularly in human hepatoma cells.
  • *The results demonstrate the probe's effectiveness in distinguishing tumors through advanced imaging techniques, paving the way for personalized medicine.
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Oxytocin (OXT), a neuropeptide consisting of only nine amino acids, is synthesized in the paraventricular and supraoptic nuclei of the hypothalamus. Although OXT is best known for its role in lactation and parturition, recent research has shown that it also has a significant impact on social behaviors in mammals. However, a comprehensive review of this topic is still lacking.

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