Publications by authors named "Zhiwei Guo"

The Optimal electrode configuration of Electroencephalograms (EEG) systems for mild cognitive impairment (MCI) detection and monitoring in non-clinical settings, i.e. number of electrodes and the positions of the electrodes, remains to be explored.

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Data is the core foundation of intelligent operation and maintenance, but currently, there is generally insufficient data for wastewater treatment plants, and the status of wastewater treatment systems dynamically evolves with the changes in the internal and external environment. The intelligent operation and maintenance of wastewater plants face difficulties in modeling and model drift caused by system evolution. In response to this issue, the summer and winter seasons with significant differences in wastewater temperature, wastewater quality, and microbial status were selected as typical comparison scenarios.

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Background: Pregnancy significantly alters the maternal immune system, affecting fetal development. The collection of tissues from the human placenta and fetus is not ethically or practically feasible at various gestational stages, thus limiting the study of gene expression in the fetus and placenta. Recent studies have shown that plasma cell-free DNA (cfDNA) nucleosome patterns can predict gene expression in the source tissue, offering insights into an individual's health status.

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  • Pea protein isolate (PPI) is becoming popular in food due to its health benefits, but its low solubility and stability pose challenges for its functional use.
  • The study examined how different molecular weights of dextran (DX) affect the properties of grafted PPI, finding improvements in solubility, antioxidant activity, and emulsion stability.
  • The research concluded that grafting dextran, particularly the 5 kDa version, enhances the emulsifying properties of PPI, making it more suitable for use in functional foods.
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Purpose: Frailty is common in surgical patients and is closely associated with postoperative outcomes.

Aims: This study employed bibliometric methods to summarize and analyze research related to frailty and surgery, comprehensively analyzing the research structure and providing visualized maps.

Methods: This study analyzed the volume of publications, countries, institutions, authors, journals, references, and keywords related to perioperative frailty in the Web of Science Core Collection from 1978 to 2024.

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  • * They used a special model to analyze data from over 1,200 water samples and found that the type and amount of crops grown nearby really influence arsenic levels.
  • * The study suggests that switching from growing sunflowers to wheat or melons can help reduce arsenic in the groundwater, which is important for keeping food safe and protecting people's health.
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  • The study investigates how reducing the particle size of RDX (an energetic material) to the nanoscale impacts its mechanical and energetic properties during compression using simulations.
  • The compression process is broken down into three stages: elastic stage, primary damage stage, and sustained damage stage, with distinct temperature increase rates at each stage.
  • Smaller nanoparticles show lower elastic modulus and compressive strength, and spherical nanoparticles exhibit lower energy absorption and slower damage rates, contributing to their lower sensitivity compared to cuboidal nanoparticles.
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Topological edge state, a unique mode for manipulating electromagnetic waves (EMs), has been extensively studied in both fundamental and applied physics. Up to now, the work on topological edge states has focused on manipulating linearly polarized waves. Here, we realize chirality-dependent topological edge states in one-dimensional photonic crystals (1DPCs) to manipulate circularly polarized waves.

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Background: The expression profiles of placental genes are crucial for understanding the pathogenesis of fetal development and placental-origin pregnancy syndromes. However, owing to ethical limitations and the risks of puncture sampling, it is difficult to obtain placental tissue samples repeatedly, continuously, multiple times, or in real time. Establishing a non-invasive method for predicting placental gene expression profiles through maternal plasma cell-free DNA (cfDNA) sequencing, which carries information about the source tissue and gene expression, can potentially solve this problem.

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Background: Insomnia disorder with objective short sleep duration (ISS) phenotype is a more serious biological subtype than insomnia with objective normal sleep duration (INS) phenotype, and the neuroimaging data is helpful to understand the pathophysiology of the ISS phenotype. This study was to compare the amplitude of low-frequency fluctuation (ALFF), regional homogeneity (ReHo), and functional connectivity (FC) between the ISS phenotype and the INS phenotype.

Methods: In this cross-sectional study, 55 patients with insomnia disorder were recruited, and 22 of them were defined as the ISS phenotype by the objective cardiopulmonary coupling (CPC) technique.

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  • * Researchers analyzed cfDNA from 94 breast cancer patients before treatment and created classifiers based on these profiles to distinguish between patients who achieved a pathologic complete response (pCR) and those who did not.
  • * Results showed that certain promoter profiles were significantly different in pCR patients, indicating that cfDNA analysis could be a reliable method for predicting chemotherapy efficacy, with a high accuracy rate demonstrated in the study.
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Background: Evidence has revealed a connection between cuproptosis and the inhibition of tumor angiogenesis. While the efficacy of a model based on cuproptosis-related genes (CRGs) in predicting the prognosis of peripheral organ tumors has been demonstrated, the impact of CRGs on the prognosis and the immunological landscape of gliomas remains unexplored.

Methods: We screened CRGs to construct a novel scoring tool and developed a prognostic model for gliomas within the various cohorts.

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  • The paper discusses the growing focus on data-driven remote medical management, specifically for predicting survival time, by monitoring patient physical characteristics using intelligent algorithms.
  • It highlights the challenge of lacking multimedia information in traditional medical data analysis and proposes a solution using ensemble deep learning to improve feature representation.
  • The proposed framework, called "MDL-MDM", integrates multiple neural network models to enhance medical data management and shows promising results, achieving a 1-2% reduction in prediction error using cancer patient data.
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  • Liposomes are highly studied for targeted drug delivery, but their effectiveness can be impacted by liver conditions, which are often overlooked in research.
  • This study focused on how drug-induced liver injury (DILI) affects the pharmacokinetics and distribution of liposomes using animal models of liver damage.
  • Results showed that liposomes have longer circulation in the blood and greater accumulation in the liver during DILI, with macrophages remaining key players in their uptake, raising both opportunities and concerns for clinical applications in liver-injured patients.
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Individuals with mild cognitive impairment (MCI), the preclinical stage of Alzheimer disease (AD), suffer decline in their visual working memory (WM) functions. Using large-scale network analysis of electroencephalography (EEG), the current study intended to investigate if there are differences in functional connectivity properties extracted during visual WM coding stages between MCI patients and normal controls (NC). A total of 21 MCI patients and 20 NC performed visual memory tasks of load four, while 32-channel EEG recordings were acquired.

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Covert speech (CS) refers to speaking internally to oneself without producing any sound or movement. CS is involved in multiple cognitive functions and disorders. Reconstructing CS content by brain-computer interface (BCI) is also an emerging technique.

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In recent years, filamentous algae blooms and microplastics (MPs) pollution have become two major ecological and environmental problems in urban water systems. In order to solve these two problems at the same time, this study explored the loading capacity of MPs on fresh filamentous algae, and successfully synthesized magnetic filamentous algae biochar loading with FeO by hydrothermal method, with the purpose of removing MPs from water. The magnetic filamentous algal biochar was characterized by scanning electron microscopy (SEM), Fourier transform infrared (FTIR), X-ray photoelectron spectroscopy (XPS), X-ray diffraction (XRD), and so on.

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Motivated by unique topological semimetals in condensed matter physics, we propose an effective Hamiltonian with four degrees of freedom to describe evolutions of photonic double Weyl nodal line semimetals in one-dimensional hyper-crystals, which supports the energy bands translating or rotating independently in the form of Weyl quasiparticles. Especially, owing to the unit cells without inversion symmetry, a pair of reflection-phase singularities carrying opposite topological charges emerge near each nodal line, and result in a unique bilateral drumhead surface state. After reducing radiation leakages and absorption losses, these two singularities gather together gradually, and form a quasi-bound state in the continuum (quasi-BIC) ring at the nodal line ultimately.

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  • - Vacancy defects in crystals of energetic materials, like TKX-50, greatly affect their stability and decomposition, yet their formation in TKX-50 is not fully understood because of its unique ion ratios.
  • - Using density functional theory, researchers uncovered how these defects form and examined noncovalent interactions that contribute to TKX-50's structural stability.
  • - Molecular dynamics simulations indicated that vacancy defects can accelerate proton transfer during decomposition and lead to earlier and faster breakdown of the material, highlighting their significant role in energetic ionic salts.
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Purpose: From a clinical point of view, how to force a transition from insomnia brain state to healthy brain state by external driven stimulation is of great interest. This needs to define brain state of insomnia disorder as metastable substates. The current study was to identify recurrent substates of insomnia disorder in terms of probability of occurrence, lifetime, and alternation profiles by using leading eigenvector dynamics analysis (LEiDA) method.

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It is commonly believed that topologically nontrivial one-dimensional systems support edge states rather than bulk states at zero energy. In this work, we find an unanticipated case of topological Anderson insulator (TAI) phase where two bulk modes are degenerate at zero energy, in addition to degenerate edge modes. We term this "ungapped TAI" to distinguish it from the previously known gapped TAIs.

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Folic acid is a fully oxidized synthetic folate with high bioavailability and stability which has been extensively prescribed to prevent congenital disabilities. Here we revealed the immunosuppressive effect of folic acid by targeting splenic marginal zone B (MZB) cells. Folic acid demonstrates avid binding with the Fc domain of immunoglobulin M (IgM), targeting IgM positive MZB cells to destabilize IgM-B cell receptor (BCR) complex and block immune responses.

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In this study, a car transfer planning system for parking lots was designed based on reinforcement learning. The car transfer planning system for parking lots is an intelligent parking management system that is designed by using reinforcement learning techniques. The system features autonomous decision-making, intelligent path planning and efficient resource utilization.

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Wireless power transfer (WPT) technology based on magnetic resonance (a basic physical phenomenon) can directly transfer energy from the source to the load without wires and other physical contacts, and has been successfully applied to implantable medical devices, electric vehicles, robotic arms and other fields. However, due to the frequency splitting of near-field coupling, the resonant WPT system has some unique limitations, such as poor transmission stability and low efficiency. Here, we propose anti-resonance with level pinning for high-performance WPT.

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