Publications by authors named "Pengjun Wang"

This research aims to investigate the impact of continuity of care on individuals diagnosed with chronic heart failure (CHF), specifically examining its effects on their self-care capabilities, life quality, mental well-being, and physical condition. A total of 90 patients diagnosed with CHF and treated at our hospital between January and September 2023 were included in this retrospective controlled study. Propensity score matching was used to assign patients into 2 comparable groups: an intervention group and a control group (CG), each consisting of 45 individuals.

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Purpose: To establish a dose-response reference for surgical planning in type III acute acquired concomitant esotropia (AACE).

Methods: This study included consecutive patients who underwent unilateral or bilateral medial rectus recession for type III AACE or common forms of esotropia correction from January 2019 to August 2023. All patients with a minimum follow-up of 3 months were analyzed.

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Background: A key cardiac magnetic resonance (CMR) challenge is breath-holding duration, difficult for cardiac patients.

Aim: To evaluate whether artificial intelligence-assisted compressed sensing CINE (AI-CS-CINE) reduces image acquisition time of CMR compared to conventional CINE (C-CINE).

Methods: Cardio-oncology patients ( = 60) and healthy volunteers ( = 29) underwent sequential C-CINE and AI-CS-CINE with a 1.

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RNA-binding motif protein-10 (RBM10) plays a role in pancreatic adenocarcinoma (PAAD), though its precise underlying mechanism remains unclear. The current study investigates the role of RBM10 in pancreatic cancer progression and immune regulation. RBM10 expression in pancreatic tissues from PAAD patient was assessed using Western blotting, RT-qPCR, and immunohistochemistry, revealing lower levels in pancreatic cancerous tissues compared to adjacent non-cancerous tissues.

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This paper proposes and investigates an on-chip diffractive optical neural network based on binary metasurfaces. The genetic algorithm and finite-difference time-domain method are used to optimize the binary metasurfaces to achieve relatively compact area size and excellent performance. To prove the effectiveness of our proposal, a single-layer diffractive optical neural network based on binary metasurfaces is designed to execute a classification task on the Iris dataset.

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ATP-binding proteins (ABPs) form diverse and essential protein families across living organisms. Early life forms likely relied on simple chemical reactions for energy, but with the emergence of ABPs and their evolving functions, organisms became capable of more efficient energy storage and utilization, which drove the complexity of metabolic and life processes. By binding and hydrolyzing ATP through conserved structural motifs such as the Walker motifs, ABPs play critical roles in material transport, signal transduction, cellular structure maintenance, motility, and cell cycle regulation.

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The rapid advancement of artificial intelligence has facilitated the broad application of machine vision systems in diverse industries. However, these systems are often confronted with computational challenges stemming from an overwhelming amount of data. Here, we have developed a novel optoelectronic memristor synapse constructed from an ITO/Nb:SrTiO heterostructure, which synergistically integrates light signal detection with information processing and memory functions.

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Background: Chronic kidney disease (CKD) is a significant global health issue, often linked to diabetes, hypertension, and glomerulonephritis. However, aggregated statistics can obscure heterogeneity across subtypes, age, gender, and regions. This study aimed to analyze global CKD trends from 1990 to 2021, focusing on age, gender, socio-demographic index (SDI), and regional variations.

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High-precision, low-power MEMS accelerometers are extensively utilized across civilian applications. Closed-loop accelerometers employing switched-capacitor (SC) circuit topologies offer notable advantages, including low power consumption, high signal-to-noise ratio (SNR), and excellent linearity. Addressing the critical demand for high-precision, low-power MEMS accelerometers in modern geophones, this work focuses on the design and implementation of closed-loop interface ASICs (Application-Specific Integrated Circuits).

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The golden cyst nematode, , is a regulatory pathogen that can significantly reduce potato yields and hinder the international trade of potatoes. Unfortunately, this nematode has been reported in southwestern China. Nevertheless, limited information exists on the resistance levels of Chinese potato germplasm, especially primary commercial cultivars, to in southwestern China.

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JOURNAL/nrgr/04.03/01300535-202510000-00031/figure1/v/2024-11-26T163120Z/r/image-tiff Aminoglycosides are a widely used class of antibacterials renowned for their effectiveness and broad antimicrobial spectrum. However, their use leads to irreversible hearing damage by causing apoptosis of hair cells as their direct target.

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In this paper, a dual-resonances mid-infrared all-dielectric metasurface sensor based on asymmetric cross dimer, which is driven by quasi-bound states in the continuum (QBIC), is proposed and investigated. The metasurface sensor maintains the total permittivity constant when the asymmetric parameter is adjusted, thereby ensuring the stability of the QBIC resonance wavelengths, which exhibit Q-factors of 6351 and 13561, respectively. The multiple decompositions and electromagnetic field distributions reveal that the toroidal dipole is the dominant component of the dual-resonance modes.

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Exceptional points (EPs) display peculiar degeneracies, where complex eigenvalues and associated eigenvectors coalesce simultaneously, resulting in a defective Hamiltonian. Meanwhile, the negative imaginary part of the energy eigenvalues related to a finite spectral linewidth at the resonant energy, which could provide a solution to tackle the isolation bandwidth limitation of MRR-based optical isolators without sacrificing the insertion loss. Here, a second-order EP system constructed by SiN-based cascaded racetrack resonators is proposed, while the metal strip operating as an integrated electromagnet provides magnetic fields required for non-reciprocal phase shifting (NRPS).

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Article Synopsis
  • A multimode silicon waveguide crossing design is studied, which is intended to be polarization-insensitive.
  • The device was optimized using particle swarm optimization and finite difference time domain methods, focusing on achieving wide bandwidth and minimal insertion loss and cross talk.
  • Experimental results show the device's compact size of 11.92 μm x 11.92 μm and impressive performance within the wavelength range of 1520 to 1600 nm, with low insertion loss and cross talk across different modes.
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  • The article reviews the use of internal carotid artery stenting in surgeries for glomus jugular paragangliomas to minimize the risk of artery injury during procedures.
  • It highlights a study involving 5 patients from 2018 to 2022 who underwent imaging assessments and successfully received stents before tumor removal surgeries.
  • Postoperative results showed that the stents remained patent and effective, emphasizing preoperative stenting as a safe strategy to protect the internal carotid artery during surgery.
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Alzheimer's Disease (AD) is an irreversible, degenerative condition that, while incurable, can have its progression slowed or impeded. While there are numerous methods utilizing neural networks for AD detection, there is a scarcity of High-performance AD detection chips. Moreover, excessively complex neural networks are not conducive to on-chip implementation and clinical applications.

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Purpose: To explore the microstate characteristics and underlying brain network activity of Ménière's disease (MD) patients based on high-density electroencephalography (EEG), elucidate the association between microstate dynamics and clinical manifestation, and explore the potential of EEG microstate features as future neurobiomarkers for MD.

Methods: Thirty-two patients diagnosed with MD and 29 healthy controls (HC) matched for demographic characteristics were included in the study. Dysfunction and subjective symptom severity were assessed by neuropsychological questionnaires, pure tone audiometry, and vestibular function tests.

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Article Synopsis
  • The detection of mid-infrared light is important for both civil and military applications, with two-dimensional topological semimetals showing promise for this task.
  • A new mid-infrared photodetector using silicon waveguides integrated with platinum telluride (PtTe) and improved with a PtTe-graphene heterostructure has been developed, demonstrating high performance metrics.
  • The PtTe-graphene photodetector achieved a responsivity of 5.5 A/W and a 3 dB bandwidth of 35 MHz, along with an impressive external quantum efficiency of 119% under specific conditions.
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Elastic polymer-based conductive composites (EPCCs) are of great potential in the field of flexible sensors due to the advantages of designable functionality and thermal and chemical stability. As one of the popular choices for sensor electrodes and sensitive materials, considerable progress in EPCCs used in sensors has been made in recent years. In this review, we introduce the types and the conductive mechanisms of EPCCs.

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Rapidly identifying and quantifying Gram-positive bacteria are crucial to diagnosing and treating bacterial lower respiratory tract infections (LRTIs). This work presents a field-deployable biosensor for detecting Gram-positive bacteria from exhaled breath condensates (EBCs) based on peptidoglycan recognition using an aptamer. Dielectrophoretic force is employed to enrich the bacteria in 10 s without additional equipment or steps.

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Parkinson's disease (PD) is a neurodegenerative disease featured by progressive loss of nigrostriatal dopaminergic neurons, the etiology of which is associated with the existence of neuroinflammatory response and oxidative stress. Vincamine is an indole alkaloid that was reported to exhibit potent anti-inflammatory and antioxidant properties in many central and/or peripheral diseases. Nevertheless, the specific role of vincamine in PD development remains unknown.

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Article Synopsis
  • A new type of multimode filter using pixelated waveguides is introduced and successfully tested, focusing on polarization beam-splitting capabilities.
  • Advanced optimization methods, including finite difference time domain and direct binary search, were used to enhance the filter's performance by making it compact, broad in bandwidth, and effective at minimizing loss and maximizing polarization distinction.
  • Experimental measurements show that the device operates efficiently in the 1520 to 1560 nm wavelength range, achieving low insertion losses (below 1.23 dB for transverse-electric and 0.74 dB for transverse-magnetic) and high extinction ratios (over 15.14 dB for TE and 15.50 dB for TM), all within a
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Introduction: Wound healing poses a clinical challenge in diabetes mellitus (DM) due to compromised host immunity. CD64, an IgG-binding Fcgr1 receptor, acts as a pro-inflammatory mediator. While its presence has been identified in various inflammatory diseases, its specific role in wound healing, especially in DM, remains unclear.

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Burn injuries result in localised tissue damage and precipitate systemic responses; routine clinical treatments, which typically include metabolic nutritional support and anti-infection therapies, do not yield optimal outcomes. Therefore, we aimed to systematically evaluate the effects of ulinastatin on wound infection and healing in patients with burns to provide reliable evidence-based recommendations for burn treatment. An electronic search of the Web of Science, PubMed, Cochrane Library, Embase, Wanfang, Chinese Biomedical Literature Database, and China National Knowledge Infrastructure databases, supplemented by manual searches, was conducted from database inception to October 2023 to collect randomised controlled trials (RCTs) assessing the efficacy of ulinastatin for the treatment of burns.

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