Publications by authors named "Zhang Zichen"

This paper presents a new methodology for generating continuous statistical distributions, integrating the exponentiated odds ratio within the framework of survival analysis. This new method enhances the flexibility and adaptability of distribution models to effectively address the complexities inherent in contemporary datasets. The core of this advancement is illustrated by introducing a particular subfamily, the "Type 2 Gumbel Weibull-G family of distributions".

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Background: Recent studies suggest a connection between immunoglobulin light chains (IgLCs) and coronary heart disease (CHD). However, current diagnostic methods using peripheral blood IgLCs levels or subtype ratios show limited accuracy for CHD, lacking comprehensive assessment and posing challenges in early detection and precise disease severity evaluation. We aim to develop and validate a Coronary Health Index (CHI) incorporating total IgLCs levels and their distribution.

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Background: Low maternal cognitive empathy and higher affective empathy have been linked to increased emotional-behavioral problems (EBPs) in young children, but it remains unclear whether the associations are distinct according to maternal depression. This study aims to explore the moderating role of maternal depression in the association between maternal empathy and EBPs in preschoolers.

Methods: Cross-sectional and representative data were from 19,965 Chinese preschoolers.

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Strength testing of concrete mainly relies on physical experiments, which are not only time-consuming but also costly. To solve this problem, machine learning has proven to be a promising technological tool in concrete strength prediction. In order to improve the accuracy of the model in predicting the compressive strength of concrete, this paper chooses to optimize the base learner of the ensemble learning model.

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The reuse of agricultural waste brings significant benefits but still faces a multitude of challenges. In this work, novel precious metal sorbents were constructed by grafting 1,3,4-thiadiazole-2-thiol (MTD) and 2,5-dithiadiazole-1,3,4-thiadiazole (DMTD) onto native corncob, which could rapidly and selectively recover palladium (Pd) from metallurgical wastewater. The characterization of the sorbents by powder X-ray diffraction indicated that introducing MTD or DMTD on native corncob did not alter the crystallinity and inherent structural framework.

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Article Synopsis
  • Metamaterial perfect absorbers (MPAs) are essential for improving infrared photoelectric detectors but face challenges like low absorption coefficients and fabrication compatibility with T2SL detectors.
  • A novel approach involves replacing the conventional ground metal layer in MPAs with a heavily doped semiconductor, making it easier to integrate with T2SL technology.
  • The implementation of a deep neural network (DNN) allows for rapid design of infrared absorbers with multiple absorption peaks, achieving over 90% peak absorptivity, thus enhancing the performance of infrared detection applications.
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Background: As traditional Chinese medicinal materials, E'jiao and cubilose are rich in various bioactive substances with good antioxidant, anti-inflammatory, and immune-regulating effects.

Aim: To obtain the optimal ratio of synergistic effect between E'jiao and cubilose.

Methods: The antioxidant capacity of E'jiao and cubilose digestive fluid was evaluated in vitro, as well as the intracellular oxidation balance between HSF cells and 3D whole-skin model induced by HO.

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  • Indoor fine particulate matter (PM) significantly affects aging, especially in vulnerable groups like schizophrenia patients who often stay indoors for long periods.
  • A study of 104 schizophrenia patients revealed that exposure to certain PM components, such as thallium and chromium, is linked to accelerated biological aging.
  • The findings suggest that these effects are associated with changes in serum metabolites and gut microbiota, indicating a direct relationship between PM exposure and immune system aging.
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The accurate understanding of mass transfer in molten salt contributes to revealing the reaction mechanism and advancing the technologies. The existence of notable natural convection effects has been demonstrated in our previous studies, even though the driving forces for such a high natural convection are still not clear. Herein, we showed that the intense natural convection in molten salts resulted from severe heat dissipation through the electrodes (or the system).

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Intraperitoneal (i.p.) administered nanomedicine has been widely applied in the clinical treatment of intra-abdominal diseases and preclinical pharmacological investigations.

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  • Neurosurgical procedures for conditions like cerebral hemorrhage and brain tumors often lead to surgical brain injury (SBI), causing complications like hemorrhage and inflammation.* -
  • A new cross-linked gelatin hydrogel (GelMA), designed to contain mesenchymal stem cells (MSC), demonstrates improved clotting and helps mitigate oxidative stress and inflammation in SBI sites.* -
  • GelMA not only shows great hemostatic and anti-inflammatory properties but also promotes MSC growth and survival, positioning it as a promising biomaterial for treating SBI.*
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Organic photosensitizers (PSs) play important roles in phototheranostics, and contribute to the fast development of precision medicine. However, water-soluble and highly emissive organic PSs, especially those emitting in the short-wave infrared region (SWIR), are still challenging. Also, it's difficult to prepare self-reporting PSs for visualizing the treatment via stimulated emission depletion (STED) nanoscopy.

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  • This study focuses on how the Piezo1 ion channel protein affects neurons during severe headaches caused by intracranial hypertension in subarachnoid hemorrhage (SAH) patients.
  • Researchers used a rat model to test the effects of Piezo1 inhibition and activation on neuronal health and responses after inducing intracranial hypertension.
  • Results showed that blocking Piezo1 reduced neuron cell death and improved neurological outcomes, indicating that the Hippo signaling pathway plays a crucial role in Piezo1-related neuronal apoptosis due to intracranial hypertension.
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Elucidating the genetic architecture of DNA methylation is crucial for decoding complex disease etiology. However, current epigenomic studies are often limited by incomplete methylation coverage and heterogeneous tissue samples. Here, we present the first comprehensive, multi-ancestry human methylome atlas of purified human monocytes, generated through integrated whole-genome bisulfite sequencing and whole-genome sequencing from 298 European Americans (EA) and 160 African Americans (AA).

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Accurate fluorescence imaging of nanocarriers in vivo remains a challenge owing to interference derived mainly from biological tissues and free probes. To address both issues, the current study explored fluorophores in the near-infrared (NIR)-II window with aggregation-caused quenching (ACQ) properties to improve imaging accuracy. Candidate fluorophores with NIR-II emission, ACQ984 (λ = 984 nm) and IR-1060 (λ = 1060 nm), from the aza-BODIPY and cyanine families, respectively, were compared with the commercial fluorophore ICG with NIR-II tail emission and the NIR-I fluorophore P2 from the aza-BODIPY family.

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Objective: To investigate the mechanisms behind the effects of acupuncture in Traditional Chinese Medicine, we delved into the adenosine triphosphate/peripheral purinergic P2X receptor 3 (ATP/P2X3) receptor signaling system as an indicator of the body's energy state, commonly referred to as "".

Methods: The tail-flick test was utilized to explore the impact of acupuncture on pain tolerance threshold (PTT) in mice, while also assessing adenosine (ADO) levels and adenylate energy charge (EC) at Zusanli (ST36). The study further investigated the dose-dependent effects of acupuncture on PTT and ADO levels at Zusanli (ST36).

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Background: Type 2 diabetes(T2DM) is a global health problem which is accompanied with multi-systemic complications, and associated with long-term health burden and economic burden. Effective health seeking behavior (HSB) refers to reasonably utilize health resources, effectively prevent and treat diseases, and maintain health. Effective health seeking behavior (HSB) is vital to mitigate the risk of T2DM complications.

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The aggregation-caused quenching (ACQ) rationale has been employed to improve the fluorescence imaging accuracy of nanocarriers by precluding free probe-derived interferences. However, its usefulness is undermined by limited penetration and low spatiotemporal resolution of NIR-I (700-900 nm) bioimaging owing to absorption and diffraction by biological tissues and tissue-derived autofluorescence. This study aimed to develop ACQ-based NIR-II (1000-1700 nm) probes to further improve the imaging resolution and accuracy.

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The stibinidene ArSb (Ar = [2,6-(BuN═CH)-CH], ) reacts with STol (Tol = -tolyl) to form ArSb(STol) (), which upon treatment with pinacolborane, regenerates . These processes unveil an unprecedented antimony redox catalysis involving Sb(I)/Sb(III) cycling for the hydroboration of organic disulfides. Elementary reaction studies and density functional theory calculations support that the catalysis mimics transition metal processes, proceeding through oxidative addition, ligand metathesis, and reductive elimination.

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Background: Despite evidence linking fine particulate matter (PM) to cardiometabolic multimorbidity (CMM), the impact of its components remains unclear. Socioeconomic status (SES) and regional disparities may confound their association. We aim to evaluate the associations between PM components and CMM and explore how socioeconomic status and regional disparities affect these relationships.

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Article Synopsis
  • DNA methylation is linked to many complex diseases like cancer and autoimmune disorders, but specific key methylation sites are still not well understood.
  • The introduction of MIMOSA, a new resource, enhances the accuracy of DNA methylation predictions by utilizing extensive data from the Genetics of DNA Methylation Consortium, improving upon traditional methods.
  • A case study on high cholesterol using MIMOSA identified 146 potentially causal CpG sites, showcasing its power for discovering disease-related methylation patterns.
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Titanium (Ti) is widely used as anode current collectors in proton exchange membrane (PEM)-based water electrolyzers due to its self-passivated oxide layer, which protects it from corrosion in acidic solutions. However, the cost of the material and machining process for Ti is high. A wider utilization of water electrolyzers to produce hydrogen could be favored by the use of less expensive coated aluminum (Al) substrates, which could potentially replace high-cost Ti-based components.

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Background: As a chronic metabolic disease, diabetes poses a serious threat to human health and has become a major public health problem in China and worldwide. In 2020, 30% of Chinese people (aged ≥ 60 years) reported having diabetes mellitus. Moreover, individuals with diabetes living in rural areas face a significantly higher mortality risk compared to those in urban areas.

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Enhanced electrokinetic phenomena, manifested through the observation of a large streaming potential (), were obtained in microchannels with single-layer graphene (SLG)-coated and few-layer graphene (FLG)-coated surfaces. In comparison to silicon microchannels, the obtained for a given pressure difference along the channel (Δ) was higher by 75% for the graphene-based channels, with larger values in the SLG case. Computational modeling was used to correlate the surface charge density, tuned through plasma processing, and related zeta potential to measured .

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The development of modern medical devices and information technology has led to a rapid growth in the amount of data available for health protection information, with the concept of medical big data emerging globally, along with significant advances in cancer care relying on data-driven approaches. However, outstanding issues such as fragmented data governance, low-quality data specification, and data lock-in still make sharing challenging. Big data technology provides solutions for managing massive heterogeneous data while combining artificial intelligence (AI) techniques such as machine learning (ML) and deep learning (DL) to better mine the intrinsic connections between data.

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