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  1. Article ; Online: Computed Tomography Reconstruction Algorithm Based on Relative Total Variation Minimization

    Jiahao ZHANG / Zhiwei QIAO

    CT Lilun yu yingyong yanjiu, Vol 32, Iss 2, Pp 153-

    2023  Volume 169

    Abstract: The total variation (TV) minimization algorithm is an effective CT image reconstruction algorithm that can reconstruct sparse or noisy projection data with high accuracy. However, in some cases, the TV algorithm produces stepped artifacts. The relative ... ...

    Abstract The total variation (TV) minimization algorithm is an effective CT image reconstruction algorithm that can reconstruct sparse or noisy projection data with high accuracy. However, in some cases, the TV algorithm produces stepped artifacts. The relative TV algorithm outperforms TV algorithm in the field of image denoising. In view of this, the relative TV model is introduced into image reconstruction, a relative TV minimum optimization model is proposed, and the corresponding solution algorithm is designed under the framework of adaptive gradient descent projection to the convex set (ASD-POCS) to further improve reconstruction accuracy. The reconstruction experiments were conducted with Shepp Logan, Forbild, and real CT image simulation models to verify the anti-crime ability of the algorithm and evaluate the sparse reconstruction and anti-noise abilities of the algorithm. The experimental findings reveal that the algorithm outperforms the TV method in terms of anti-crime capability and the ability to reconstruct sparse or noisy projection data with high precision. Compared with the TV algorithm, the algorithm can achieve higher reconstruction accuracy.
    Keywords computed tomography ; minimum relative total variation ; sparse reconstruction ; asd-pocs algorithm ; Geophysics. Cosmic physics ; QC801-809 ; Medicine (General) ; R5-920
    Subject code 006 ; 518
    Language English
    Publishing date 2023-03-01T00:00:00Z
    Publisher Editorial Office of Computerized Tomography Theory and Application
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Assessing the effects of environmental factors on filtration rate of golden mussel (Limnoperna fortunei)

    Jiahao Zhang / Mengzhen Xu / Yao Yang

    Ecological Indicators, Vol 158, Iss , Pp 111544- (2024)

    2024  

    Abstract: Filtration rate is a crucial characteristic for bivalves that engage in filter feeding, and is subject to regulation in response to various environmental factors. Golden mussel, Limnoperna fortunei, known as intensively invasive species in South America ... ...

    Abstract Filtration rate is a crucial characteristic for bivalves that engage in filter feeding, and is subject to regulation in response to various environmental factors. Golden mussel, Limnoperna fortunei, known as intensively invasive species in South America and many Asian regions, has been observed to exhibit a wide range of filtration rate, resulting in challenges in hydraulic modeling and impact assessment. In this study, we performed a series of experiments and developed a mussel pump model to assess the filtration rate of golden mussels with different shell lengths and to investigate the impact of environmental factors that influence the filtration rate, i.e., food type, water temperature, and flow condition. We found that filtration rates increased with shell length, while filtration rates per unit weight decreased with shell length. Additionally, we observed that filtration rates were comparable when the mussels were fed with food that share similar/identical cellular properties, e.g., Saccharomyces cerevisiae and Chlorella pyrenoidosa. The temperature's effect on filtration rates followed a skewed unimodal pattern, with an optimal temperature near 20 ℃. Interestingly, the experiments also showed that the golden mussel can filter at low temperatures (2 ℃), indicating its capacity for overwinter survival in cold regions. Moreover, the golden mussel's filtering was promoted under low-velocity flowing conditions. The relationship between filtration rate and multiple factors was explicable using our pump mussel model, which could be simplified to reveal the effect of each single factor. The model shows superior mechanical explanations and better accuracy performance compare to previous statistical models.
    Keywords Golden mussel ; Filtration rate ; Mussel pump model ; Temperature ; Shell length ; Ecology ; QH540-549.5
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Analysis and Optimization of Thermal Environment in Old Urban Areas from the Perspective of “Function–Form” Differentiation

    Suiping Zeng / Jiahao Zhang / Jian Tian

    Sustainability, Vol 15, Iss 6172, p

    2023  Volume 6172

    Abstract: High-density urban areas have spatial characteristics, such as complex functions, population gathering, and complex forms, that lead to more severe urban heat island effects. Systematically evaluating the thermal environmental benefits of urban spatial ... ...

    Abstract High-density urban areas have spatial characteristics, such as complex functions, population gathering, and complex forms, that lead to more severe urban heat island effects. Systematically evaluating the thermal environmental benefits of urban spatial forms to optimize the urban physical environment is important. In this study, Tianjin’s central urban area, which is a typical representative of high-density urban areas, was selected to invert the multi-period land surface temperature by relying on the existing two- and three-dimensional morphological data set of communities. The multi-scale geographically weighted regression model was used to fit the regression relationship between the urban land surface temperature and spatial morphological parameters. From this, the influencing factors of different types of existing community spaces and their spatial stabilities were explored. The results show the following: (1) The summer surface temperature varies greatly in the central urban area, and the high-temperature areas are mainly distributed in the industrial, residential, and commercial districts. (2) The MGWR model has the better model-fitting ability. The positive influence coefficients of temperature include ISP and BD, while the negative influence coefficients are BSD, BH, NDVI, and SVF. (3) There is significant spatial heterogeneity in the impact coefficients among the blocks that can be targeted to mitigate the heat island effect. This study provides ideas for optimizing the spatial morphological parameters of surface temperature in urban centers. Future challenges include increasing the spatial morphological parameter selection range, dissecting the interactive relationships between spatial morphological parameters and their effectiveness on the surface temperature, and refining the study’s spatial and temporal granularity.
    Keywords old urban areas ; spatial morphology ; geographically weighted regression model ; surface temperature ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Subject code 910
    Language English
    Publishing date 2023-04-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Bioinformatics reveals diagnostic potential of cuproptosis-related genes in the pathogenesis of sepsis

    Zhongyi Sun / Qiuyue Zhao / Jiahao Zhang / Yanan Hu / Jiachen Qu / Han Gao / Zhiyong Peng

    Heliyon, Vol 10, Iss 1, Pp e22664- (2024)

    1481  

    Abstract: Background: Multiple modes of cell death occur during the development of sepsis. Among these patterns, cuproptosis has recently been identified as a regulated form of cell death. However, its impact on the onset and progression of sepsis remains unclear. ...

    Abstract Background: Multiple modes of cell death occur during the development of sepsis. Among these patterns, cuproptosis has recently been identified as a regulated form of cell death. However, its impact on the onset and progression of sepsis remains unclear. Method: We screened a dataset of gene expression profiles from patients with sepsis using the GEO database. Survival analysis was performed to analyze the relationship between cuproptosis-related genes (CRGs) and prognosis. Hub genes were identified through univariate Cox regression analysis. The diagnostic value of hub genes in sepsis was tested in both training sets (GSE65682) and validation sets (GSE134347). To examine the association between hub genes and immune cells, single-sample gene set enrichment analysis (ssGSEA) and Pearson correlation analysis were employed. Additionally, the CRGs were validated in a septic mouse model using real-time quantitative PCR (qRT-PCR) and immunohistochemistry (IHC). Results: In sepsis, most CRGs were upregulated, with only DLD and MTF1 downregulated. High expression of three genes (GLE, LIAS, and PDHB) was associated with better prognosis, but only two hub genes (LIAS, PDHB) reached statistical significance. The receiver operating characteristic (ROC) analysis for diagnosing sepsis showed LIAS had a range of 0.793–0.906, while PDHB achieved values of 0.882 and 0.975 in the training and validation sets, respectively. ssGSEA analysis revealed a lower number of immune cells in the sepsis group, and there was a correlation between immune cell population and CRGs (LIAS, PDHB). Analysis in the septic mouse model demonstrated no significant difference in mRNA expression levels and IHC staining between LIAS and PDHB in heart and liver tissues, but up-regulation was observed in lung tissues. Furthermore, the mRNA expression levels and IHC staining of LIAS and PDHB were down-regulated in renal tissues. Conclusions: Cuproptosis is emerging as a significant factor in the development of sepsis. LIAS and PDHB, identified as potential ...
    Keywords Sepsis ; ssGSEA ; GEO ; Immune ; Cuproptosis ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
    Subject code 616
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Establishment risk of invasive golden mussel in a water diversion project

    Yao Yang / Mengzhen Xu / Xingyu Chen / Jiahao Zhang / Shulei Wang / Jianying Zhu / Xudong Fu

    Environmental Science and Ecotechnology, Vol 17, Iss , Pp 100305- (2024)

    An assessment framework

    1481  

    Abstract: Inter-basin water diversion projects have led to accelerated colonization of aquatic organisms, including the freshwater golden mussel (Limnoperna fortunei), exacerbating global biofouling concerns. While the influence of environmental factors on the ... ...

    Abstract Inter-basin water diversion projects have led to accelerated colonization of aquatic organisms, including the freshwater golden mussel (Limnoperna fortunei), exacerbating global biofouling concerns. While the influence of environmental factors on the mussel's invasion and biofouling impact has been studied, quantitative correlations and underlying mechanisms remain unclear, particularly in large-scale inter-basin water diversion projects with diverse hydrodynamic and environmental conditions. Here, we examine the comprehensive impact of environmental variables on the establishment risk of the golden mussel in China's 1432-km-long Middle Route of the South-to-North Water Diversion Project. Logistic regression and multiclass classification models were used to investigate the environmental influence on the occurrence probability and reproductive density of the golden mussel. Total nitrogen, ammonia nitrogen, water temperature, pH, and velocity were identified as crucial environmental variables affecting the biofouling risk in the project. Logistic regression analysis revealed a negative correlation between the occurrence probability of all larval stages and levels of total nitrogen and ammonia nitrogen. The multiclass classification model showed that elevated levels of total nitrogen hindered mussel reproduction, while optimal water temperature enhanced their reproductive capacity. Appropriate velocity and pH levels were crucial in maintaining moderate larval density. This research presents a quantitative analytical framework for assessing establishment risks associated with invasive mussels, and the framework is expected to enhance invasion management and mitigate biofouling issues in water diversion projects worldwide.
    Keywords Golden mussel ; Environmental variables ; Multiclass classification ; Logistic regression ; Quantitative risk assessment ; Environmental sciences ; GE1-350 ; Environmental technology. Sanitary engineering ; TD1-1066
    Subject code 333
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: GPX4-mediated bone ferroptosis under mechanical stress decreased bone formation via the YAP-TEAD signalling pathway.

    Mengjia, Wang / Jun, Ji / Xin, Zhang / Jiahao, Zhang / Jie, Guo

    Journal of cellular and molecular medicine

    2024  Volume 28, Issue 7, Page(s) e18231

    Abstract: Fracture of the alveolar bone resorption is a common complication in orthodontic treatment, which mainly caused by extreme mechanical loading. However, the ferroptosis with orthodontic tooth movement(OTM) relationship has not been thoroughly described. ... ...

    Abstract Fracture of the alveolar bone resorption is a common complication in orthodontic treatment, which mainly caused by extreme mechanical loading. However, the ferroptosis with orthodontic tooth movement(OTM) relationship has not been thoroughly described. We here analysed whether ferroptosis is involved in OTM-associated alveolar bone loss. Mouse osteoblasts (MC-3T3) and knockdown glutathione peroxidase 4 (GPX4) MC-3T3 were stimulated with compressive force loading and ferrostatin-1 (Fer-1, a ferroptosis inhibitor), and the changes in lipid peroxidation morphology, expression of ferroptosis-related factors and osteogenesis levels were detected. After establishing the rat experimental OTM model, the changes in ferroptosis-related factors and osteogenesis levels were reevaluated in the same manner. Ferroptosis was involved in mechanical stress regulating osteoblast remodelling, and Fer-1 and erastin affected osteoblasts under compression force loading. Fer-1 regulated ferroptosis and autophagy in MC-3T3 and promoted bone proliferation. GPX4-dependent ferroptosis stimulated the YAP (homologous oncoproteins Yes-associated protein) pathway, and GPX4 promoted ferroptosis via the YAP-TEAD (transcriptional enhanced associate domain) signal pathway under mechanical compression force. The in vivo experiment results were consistent with the in vitro experiment results. Ferroptosis transpires during the motion of orthodontic teeth, with compression force side occurring earlier than stretch side within 4 h. GPX4 plays an important role in alveolar bone loss, while Fer-1 can inhibit the compression force-side alveolar bone loss. GPX4's Hippo-YAP pathway is activated by the lack of compression force in the lateral alveolar bone.
    MeSH term(s) Mice ; Rats ; Animals ; Osteogenesis/physiology ; Alveolar Bone Loss ; Stress, Mechanical ; Ferroptosis ; Signal Transduction
    Language English
    Publishing date 2024-03-17
    Publishing country England
    Document type Journal Article
    ZDB-ID 2074559-X
    ISSN 1582-4934 ; 1582-4934 ; 1582-1838
    ISSN (online) 1582-4934
    ISSN 1582-4934 ; 1582-1838
    DOI 10.1111/jcmm.18231
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Iridium-Catalysed Transfer Hydrogenation of 1,8-Naphthyridine with Indoline

    Changjian Zhou / Jiahao Zhang / Yuqing Fu / Chunlian Chen / He Zhao

    Molecules, Vol 28, Iss 23, p

    Access to Functionalized N-Heteroarenes

    2023  Volume 7886

    Abstract: An iridium-catalysed hydrogen transfer strategy, enabling straightforward access to tetrahydro pyridine derivatives from aryl-1,8-naphthyridines and indolines, was developed. This method proceeds with unprecedented synthetic effectiveness including high ... ...

    Abstract An iridium-catalysed hydrogen transfer strategy, enabling straightforward access to tetrahydro pyridine derivatives from aryl-1,8-naphthyridines and indolines, was developed. This method proceeds with unprecedented synthetic effectiveness including high step-economic fashion together with the advantages of having no by-product and no need for external high-pressure H 2 gas, offering an important basis for the transformation of 1,8-naphthyridines and indolines into functionalized products.
    Keywords 1,8-naphthyridines ; indolines ; hydrogen transfer strategy ; N-heteroarenes ; Organic chemistry ; QD241-441
    Language English
    Publishing date 2023-12-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: The Impact of Digital Economy of Resource-Based City on Carbon Emissions Trading by Blockchain Technology

    Jiahao Zhang / Jingyi Li / Duoduo Ye / Chuanqing Sun

    Computational Intelligence and Neuroscience, Vol

    2022  Volume 2022

    Abstract: To reduce the carbon emission intensity of resource-based cities and strengthen the sustainable development of these cities, firstly, blockchain technology is analyzed. Secondly, the development of the digital economy is discussed in digital resource- ... ...

    Abstract To reduce the carbon emission intensity of resource-based cities and strengthen the sustainable development of these cities, firstly, blockchain technology is analyzed. Secondly, the development of the digital economy is discussed in digital resource-based cities. Finally, according to blockchain technology, a model of carbon emissions trading in the digital economy is designed, and the specific impact of the digital economy on carbon emissions trading is studied according to the model. The research results show that the mean value of the development index of the digital economy (digital) is −0.0168, the maximum value is 4.2560, the minimum value is −1.3429, and the standard deviation is 0.9572, indicating that the quality of digital economy development varies greatly among different regions. And according to the results of the digital model, it is found that the regression coefficient of the variable digital is significantly negative at the 1% level, showing that the digital economy will obviously suppress the carbon emission intensity of cities. After replacing the explained variables, the coefficient of the digital economy is still significantly negative. It indicates that the development of the digital economy can effectively suppress the carbon emission intensity of urban. Therefore, the designed model of carbon emissions trading under the blockchain technology can not only provide a secure platform for carbon emissions trading but also provide more comprehensive trading reference information for carbon emissions trading. It provides technical support for reducing the carbon emission intensity of resource-based cities and also contributes to the development of resource-based cities.
    Keywords Computer applications to medicine. Medical informatics ; R858-859.7 ; Neurosciences. Biological psychiatry. Neuropsychiatry ; RC321-571
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Hindawi Limited
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Complex Contact Network of Patients at the Beginning of an Epidemic Outbreak

    Zhangbo Yang / Jiahao Zhang / Shanxing Gao / Hui Wang

    International Journal of Environmental Research and Public Health, Vol 19, Iss 689, p

    An Analysis Based on 1218 COVID-19 Cases in China

    2022  Volume 689

    Abstract: The spread of viruses essentially occurs through the interaction and contact between people, which is closely related to the network of interpersonal relationships. Based on the epidemiological investigations of 1218 COVID-19 cases in eight areas of ... ...

    Abstract The spread of viruses essentially occurs through the interaction and contact between people, which is closely related to the network of interpersonal relationships. Based on the epidemiological investigations of 1218 COVID-19 cases in eight areas of China, we use text analysis, social network analysis and visualization methods to construct a dynamic contact network of the epidemic. We analyze the corresponding demographic characteristics, network indicators, and structural characteristics of this network. We found that more than 65% of cases are likely to be infected by a strong relationship, and nearly 40% of cases have family members infected at the same time. The overall connectivity of the contact network is low, but there are still some clustered infections. In terms of the degree distribution, most cases’ degrees are concentrated between 0 and 2, which is relatively low, and only a few ones have a higher degree value. The degree distribution also conforms to the power law distribution, indicating the network is a scale-free network. There are 17 cases with a degree greater than 10, and these cluster infections are usually caused by local transmission. The first implication of this research is we find that the COVID-19 spread is closely related to social structures by applying computational sociological methods for infectious disease studies; the second implication is to confirm that text analysis can quickly visualize the spread trajectory at the beginning of an epidemic.
    Keywords COVID-19 ; social network analysis ; contact network ; dynamic network evolution ; Medicine ; R
    Subject code 338 ; 000
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: An Adaptive and Accurate Method for Rotational Angular Velocity Estimation of Rotor Targets via Fourier Coefficient Interpolation

    Wantian Wang / Jiahao Zhang / Hao Wu / Jin Meng

    Remote Sensing, Vol 14, Iss 4342, p

    2022  Volume 4342

    Abstract: As a special micro-motion feature of rotor targets, rotational angular velocity can provide a discriminant basis for target classification and recognition. In this paper, an adaptive and accurate method is proposed for estimating the rotational angular ... ...

    Abstract As a special micro-motion feature of rotor targets, rotational angular velocity can provide a discriminant basis for target classification and recognition. In this paper, an adaptive and accurate method is proposed for estimating the rotational angular velocity of rotor targets via a Fourier coefficient interpolation algorithm that is based on modified frequency index residue initialization. The negative frequency complex exponential signal component is removed at each iteration to eliminate the estimation bias caused by spectrum superposition and improve the estimation accuracy. The frequency index residue initialization is modified, based on a normalized Fourier spectrum, to improve the estimable range of the rotational angular velocity and reduce the computational complexity of the algorithm. The simulation results show that the estimation performance of the proposed method achieves the Cramér–Rao lower bound and outperforms state-of-the-art methods in terms of the estimable range and estimation accuracy of the rotational angular velocity.
    Keywords rotor target ; rotational angular velocity estimation ; Fourier coefficient interpolation ; frequency index residue ; parameter initialization ; Science ; Q
    Subject code 518
    Language English
    Publishing date 2022-09-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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