Publications by authors named "Zhang N"

Article Synopsis
  • The study investigates a deep learning system, Oral-Mamba, designed to segment intraoral images for detecting dental diseases like caries, calculus, and gingivitis.
  • It utilized a dataset of 3,365 oral endoscopic images, implementing a segmentation method and an evaluation model for dental calculus degree, achieving high accuracy ratings.
  • Oral-Mamba outperformed the U-Net model in accuracy and speed, and demonstrated 85% accuracy in classifying dental calculus degrees, indicating its potential for practical use in oral disease screening.
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  • This paper discusses a deep learning method used to detect and locate microseismicity in the Changning gas field, resulting in a detailed earthquake catalog that correlates with industrial activities.
  • The study reveals that the depth and distribution of earthquakes are influenced by hydraulic fracturing, with horizontal layering caused by interconnected fractures that occur during the process.
  • Earthquakes, including significant events like the M 4.9 sequence, suggest that hydraulic fracturing may reactivate existing faults, signaling a need for more research on possible seismic risks in the area.
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Congenital heart disease (CHD) is a major cause of infant mortality and morbidity, with growing interest in the role of environmental factors in its etiology. Di-(2-ethylhexyl) phthalate (DEHP), an environmental endocrine disruptor, has been implicated in the development of CHD. This study aimed to investigate the effects of DEHP exposure on fetal heart development in mice.

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Urinary polycyclic aromatic hydrocarbon (PAH) metabolites are associated with oxidative stress; however, epidemiological studies have not reported the impacts of these urinary PAH metabolites on blood lipid levels. This study investigated the relationship between urinary PAH metabolites, urinary 8-hydroxy-2'-deoxyguanosine (8-OHdG), and blood lipid profiles. A total of 109 elderly volunteers were recruited with complete datasets for analysis.

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High-entropy perovskite fluoride (HEPF) has gradually attracted attention in the field of electrocatalysis due to its unique properties. Although traditional co-precipitation methods can efficiently produce HEPF, the resulting catalysts often lack regular morphology and tend to aggregate extensively. Here, nanocubic K(CuMgCoZnNi)F HEPF (HEPF-2) was successfully prepared on a gram-scale by a polyvinylpyrrolidone (PVP)-confined nucleation strategy.

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Sulfonated hierarchical H-ZSM-5 monoliths were synthesized ice-templating as solid acid catalysts for biodiesel production. Characterization confirmed successful -SO group grafting, increasing acid density. The catalysts achieved over 90% conversion of oleic acid in esterification, with easy recovery and reuse, and the relationship between porosity and acid density was explored.

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Introduction: Atherosclerosis (AS) is considered the underlying cause of many diseases, particularly cardiovascular and cerebrovascular diseases. Inulin, a type of fructan, has shown potential in improving atherosclerosis, although there are conflicting findings. It is hypothesized that the polymerization degree of inulin may largely influence its therapeutic effectiveness.

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Aims And Objectives: The purpose of this study was to explore the relationship between symptom clusters and self-management among maintenance haemodialysis (MHD) patients.

Background: MHD patients experience disease progression and multiple symptom burdens that severely impact quality of life, and self-management of symptoms may significantly improve patient-reported outcomes.

Design: A cross-sectional study.

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Background: A given movement requires precise coordination of multiple muscles under the control of center nervous system. However, detailed knowledge about the changing characteristics of neuromuscular control for multi-muscle coordination in post-stroke hemiplegic patients during standing is still lacking. This study aimed to investigate the hemiplegia-linked neuromuscular dysfunction during standing from the perspective of multi-muscle dynamical coordination by utilizing a novel network approach - weighted recurrence network (WRN).

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Article Synopsis
  • The study examines how coal is damaged during mining operations due to multiple mining disturbances (MMD), which can lead to serious events like rock bursts.
  • Researchers conducted tests using large coal-like samples under quasi-static and dynamic loading conditions to analyze deformation and fracture characteristics.
  • Key findings indicate that higher loads and increased loading cycles exacerbate crack formation and deformation, emphasizing the importance of reinforcing mine infrastructure while minimizing disturbances.
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Mounting evidence suggests that eicosapentaenoic acid (EPA) is superior to docosahexaenoic acid (DHA) in the treatment of depression, but the underlying mechanisms remain elusive. In the present study, the effect of DHA and EPA on depressive-like behaviors was investigated in chronic sleep-deprived (CSD) mice. Following the administration of EPA or DHA, investigations were conducted on depression-like behavior, myelin damage, iron dyshomeostasis, oligodendrocyte-lipids peroxidation, and neuroinflammation.

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  • Roflumilast (Roflu) is proposed as a potential treatment for retinal ischemia-reperfusion injury, which leads to retinal cell degeneration and inflammation.
  • The study involved both animal and cell models to assess Roflu's effects on microglial senescence and neuroinflammation following ischemic conditions.
  • Results showed that Roflu significantly reduced inflammation, restored cell health, and protected retinal ganglion cells, suggesting it could be an effective therapeutic approach for retinal diseases caused by ischemic injuries.
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Background: Sleep can function as a potential modifiable risk factor in the control and prevention of stroke. Geography significantly influences sleep patterns. The association of sleep with stroke in population of Southwest China has not so far been investigated.

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The pervasive presence of organophosphate pesticides (OPs), such as chlorpyrifos (CPF), in aquatic ecosystems underscores the urgent need for sensitive and reliable detection methods to safeguard environmental and public health. This study addressed the critical need for a novel biosensor capable of detecting CPF and its toxic metabolite, 3,5,6-trichloro-2-pyridinol (TCP), with high sensitivity and selectivity, suitable for field applications in environmental monitoring. The study engineered a whole-cell biosensor based on E.

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In this research, we introduce a PdSe/2H-MoTe heterojunction photodetector that exhibits both broadband self-powered photodetection and linear/circular polarization detection capabilities. It has a broad spectral response range (covering 375-2200 nm) and reaches a peak sensitivity at 532 nm, exhibiting a notable responsivity of 7.3 × 10 A/W and a substantial specific detectivity of 8.

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  • Vascular calcification (VC) is a serious issue in patients with chronic kidney disease (CKD) that can lead to increased cardiovascular mortality, mainly due to the transformation of vascular smooth muscle cells (VSMCs) into osteoblast-like cells influenced by exosomes and microRNAs.
  • The study explored the effects of the Bushen Huoxue (BSHX) formula on VC using both in vitro models with high phosphate and an in vivo CKD-VC rat model, examining various biochemical and cellular markers related to calcification.
  • Results showed that exosomal miRNA-32 plays a significant role in VC development and that the PI3K/AKT signaling pathway is involved, suggesting a potential therapeutic mechanism of
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  • Google Trends can effectively predict interest in infectious diseases, as shown by previous research.
  • This study analyzed interest in 12 infectious diseases before and after COVID-19 using Google Trends data, employing various time series models for predictions.
  • Results indicated a drop in public interest during the pandemic but a rebound afterwards, with TimeGPT proving to be particularly accurate for forecasts.
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Aims: To develop multiple machine learning (ML) models based on the prognostic nutritional index (PNI) and determine the optimal model for predicting long-term survival outcomes in hepatocellular carcinoma (HCC) patients after local ablation.

Methods: From January 2009 to December 2019, we analyzed data from 848 primary HCC patients who underwent local ablation. ML models were constructed and evaluated using the concordance index (C-index), concordance-discordance area under curve (C/D AUC), and Brier scores.

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Lung cancer remains the tumor with the highest global incidence and mortality rates. Current primary treatment modalities encompass targeted therapy, immunotherapy, and chemotherapy; however, a subset of patients derives no benefit from these interventions. Recently, the HER2-targeting antibody drug Disitamab vedotin (RC48) was approved and introduced primarily for gastric and bladder cancers, with minimal investigation in the field of lung cancer.

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  • Commercial LiPF-based electrolytes struggle with oxidation stability and moisture tolerance, prompting the search for alternatives.
  • Lithium cyano(trifluoromethanesulfonyl)imide (LiCTFSI) is introduced as a moisture-tolerant and non-corrosive option, showing promising results in battery performance with cathodes like LiNiCoMnO (NCM811).
  • The LiCTFSI-based electrolyte demonstrates excellent cycling stability even in high moisture conditions, with enhanced performance across a wide temperature range, making it a cost-effective solution for advanced batteries.
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The significance of health literacy for elderly individuals with chronic illnesses lies in managing and delaying disease development, which is affected by personal and environmental factors. Family communication can provide an emotional support environment; self-efficacy is an important factor of subjective initiative and personality. A relatively persistent thinking and behavior pattern can affect the environment, subjective initiative, and individual health outcomes.

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  • * It identifies a specific population of Ki67 proliferating regulatory T cells that express immunosuppressive markers, which correlates with treatment outcomes; higher levels were seen in patients who relapsed.
  • * The findings indicate that low baseline levels of these Ki67 Tregs can predict the effectiveness of immunotherapy, and similar results were confirmed in two other trials, suggesting a potential for personalized treatment strategies.
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  • Systemic sclerosis (SSc) is a rare and complicated connective tissue disease, often leading to interstitial lung disease (ILD), which significantly increases mortality in affected patients.
  • Current treatment options for SSc-ILD are limited, with nintedanib and tocilizumab being the only approved drugs, indicating an urgent need for new therapeutic strategies.
  • Research shows that nerandomilast, a phosphodiesterase 4B inhibitor, effectively reduces skin and lung fibrosis in a mouse model and could be a promising candidate for treating SSc-ILD by targeting specific signaling pathways.
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  • The May Measurement Month (MMM) China project in 2020 collected blood pressure data from over 100,000 adults during the COVID-19 control period, particularly targeting those who hadn't had their blood pressure measured in the previous year.
  • Blood pressure was consistently measured using an automated monitor across 136 sites in 29 provinces, revealing a mean systolic/diastolic blood pressure of 120.0/76.9 mm Hg and a hypertension prevalence of 28.9%.
  • The study highlighted challenges in managing hypertension, particularly due to increased rates of smoking, alcohol consumption, overweight, and obesity, alongside the unique healthcare pressures posed by the pandemic.
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