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1دورية أكاديمية
المؤلفون: Bi Chen, Hong Zeng, Fan Yang, Yafei Yang, Zhi Qiao, Xiaoli Zhao, Li Wang, Fengchang Wu
المصدر: Biochar, Vol 6, Iss 1, Pp 1-24 (2024)
مصطلحات موضوعية: Sludge, Biochar modification, Resource utilization, Carbon neutral, Circular economy, Environmental sciences, GE1-350, Agriculture
الوصف: Abstract Waste activated sludge (WAS) is attracting attention for its energy and resource potential. Anaerobic digestion (AD) can be used to efficiently recover energy resources and stabilize pollutants in WAS, with biochar emerging as an ideal additive to boost this process. However, the low abundance of surface functional groups and small pore structure of raw biochar may limit its performance in the AD of WAS. These limitations can be overcome by using functional biochar. In this review, the preparation and modification methods for functional biochar and its role in the AD of WAS are systematically summarized and discussed. Notably, the role of functional biochar in electron transfer, buffering effects, microbial immobilization, alleviation of inhibitory effects, and functional microbial modulation are analyzed. Additionally, the impacts of biochar on digestate utilization, pollutant removal, and carbon fixation are discussed. Special attention is given to functional biochar for its ability to promote circular economy and carbon neutrality. Finally, future perspectives on the use of functional biochar in the AD of WAS are presented. The aim of this review is to provide insights into the application of functional biochar in the AD of WAS from the perspective of performance improvement, resource utilization, and circular economy. Graphical Abstract
وصف الملف: electronic resource
العلاقة: https://doaj.org/toc/2524-7867Test
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2دورية أكاديمية
المؤلفون: Shangkun Zhao, Zhi Qiao, Roman Pfeifer, Hans-Christoph Pape, Keya Mao, Hai Tang, Bin Meng, Songfeng Chen, Hongjian Liu
المصدر: European Journal of Medical Research, Vol 29, Iss 1, Pp 1-12 (2024)
مصطلحات موضوعية: Fracture healing, Bone, Senescence, SASP, Senolytics, Medicine
الوصف: Abstract The senescence-associated secretory phenotype (SASP) is a generic term for the secretion of cytokines, such as pro-inflammatory factors and proteases. It is a crucial feature of senescent cells. SASP factors induce tissue remodeling and immune cell recruitment. Previous studies have focused on the beneficial role of SASP during embryonic development, wound healing, tissue healing in general, immunoregulation properties, and cancer. However, some recent studies have identified several negative effects of SASP on fracture healing. Senolytics is a drug that selectively eliminates senescent cells. Senolytics can inhibit the function of senescent cells and SASP, which has been found to have positive effects on a variety of aging-related diseases. At the same time, recent data suggest that removing senescent cells may promote fracture healing. Here, we reviewed the latest research progress about SASP and illustrated the inflammatory response and the influence of SASP on fracture healing. This review aims to understand the role of SASP in fracture healing, aiming to provide an important clinical prevention and treatment strategy for fracture. Clinical trials of some senolytics agents are underway and are expected to clarify the effectiveness of their targeted therapy in the clinic in the future. Meanwhile, the adverse effects of this treatment method still need further study.
وصف الملف: electronic resource
العلاقة: https://doaj.org/toc/2047-783XTest
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3دورية أكاديمية
المؤلفون: Xianbo Shi, Zhi Qiao, Paresh Pradhan, Peifan Liu, Lahsen Assoufid, Kwang-Je Kim, Yuri Shvyd'ko
المصدر: Journal of Synchrotron Radiation, Vol 30, Iss 6, Pp 1100-1107 (2023)
مصطلحات موضوعية: wavefront sensing, crystal diffraction, coded mask, phase error, at-wavelength metrology, Nuclear and particle physics. Atomic energy. Radioactivity, QC770-798, Crystallography, QD901-999
الوصف: The advent of next-generation synchrotron radiation sources and X-ray free-electron lasers calls for high-quality Bragg-diffraction crystal optics to preserve the X-ray beam coherence and wavefront. This requirement brings new challenges in characterizing crystals in Bragg diffraction in terms of Bragg-plane height errors and wavefront phase distortions. Here, a quantitative methodology to characterize crystal optics using a state-of-the-art at-wavelength wavefront sensing technique and statistical analysis is proposed. The method was tested at the 1-BM-B optics testing beamline at the Advanced Photon Source for measuring silicon and diamond crystals in a self-referencing single-crystal mode and an absolute double-crystal mode. The phase error sensitivity of the technique is demonstrated to be at the λ/100 level required by most applications, such as the characterization of diamond crystals for cavity-based X-ray free-electron lasers.
وصف الملف: electronic resource
العلاقة: http://scripts.iucr.org/cgi-bin/paper?S1600577523007531Test; https://doaj.org/toc/1600-5775Test
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4دورية أكاديمية
المؤلفون: Bin Luo, Zujun Que, Xinyi Lu, Dan Qi, Zhi Qiao, Yun Yang, Fangfang Qian, Yi Jiang, Yan Li, Ronghu Ke, Xiaoyun Shen, Hua Xiao, Hegen Li, Erxi Wu, Jianhui Tian
المصدر: Biological Procedures Online, Vol 25, Iss 1, Pp 1-17 (2023)
مصطلحات موضوعية: Exosomes, Proteomics, Biomarkers, Non-small cell lung cancer (NSCLC), Metastasis, Medicine (General), R5-920, Biology (General), QH301-705.5
الوصف: Abstract Background Non-small cell lung cancer (NSCLC) remains a leading cause of cancer-related deaths worldwide, primarily due to its propensity for metastasis. Patients diagnosed with localized primary cancer have higher survival rates than those with metastasis. Thus, it is imperative to discover biomarkers for the early detection of NSCLC and the timely prediction of tumor metastasis to improve patient outcomes. Methods Here, we utilized an integrated approach to isolate and characterize plasma exosomes from NSCLC patients as well as healthy individuals. We then conducted proteomics analysis and parallel reaction monitoring to identify and validate the top-ranked proteins of plasma exosomes. Results Our study revealed that the proteome in exosomes from NSCLC patients with metastasis was distinctly different from that from healthy individuals. The former had larger diameters and lower concentrations of exosomes than the latter. Furthermore, among the 1220 identified exosomal proteins, we identified two distinct panels of biomarkers. The first panel of biomarkers (FGB, FGG, and VWF) showed potential for early NSCLC diagnosis and demonstrated a direct correlation with the survival duration of NSCLC patients. The second panel of biomarkers (CFHR5, C9, and MBL2) emerged as potential biomarkers for assessing NSCLC metastasis, of which CFHR5 alone was significantly associated with the overall survival of NSCLC patients. Conclusions These findings underscore the potential of plasma exosomal biomarkers for early NSCLC diagnosis and metastasis prediction. Notably, CFHR5 stands out as a promising prognostic indicator for NSCLC patients. The clinical utility of exosomal biomarkers offers the potential to enhance the management of NSCLC.
وصف الملف: electronic resource
العلاقة: https://doaj.org/toc/1480-9222Test
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5دورية أكاديمية
المؤلفون: Haonan Fan, Zhi Qiao, Jitian Li, Guowei Shang, Chunfeng Shang, Songfeng Chen, Zikuan Leng, Huifang Su, Hongwei Kou, Hongjian Liu
المصدر: Heliyon, Vol 10, Iss 4, Pp e25538- (2024)
مصطلحات موضوعية: Cellular senescence, Osteoporosis, Senescence-associated secretory phenotype (SASP), Science (General), Q1-390, Social sciences (General), H1-99
الوصف: The worldwide elderly population is on the rise, and aging is a major osteoporosis risk factor. Senescent cells accumulation can have a detrimental effect the body as we age. The senescence-associated secretory phenotype (SASP), an essential cellular senescence hallmark, is an important mechanism connecting cellular senescence to osteoporosis. This review describes in detail the characteristics of SASPs and their regulatory agencies, and shed fresh light on how SASPs from different senescent cells contribute to osteoporosis development. Furthermore, we summarized various innovative therapy techniques that target SASPs to lower the burden of osteoporosis in the elderly and discussed the potential challenges of SASPs-based therapy for osteoporosis as a new clinical trial.
وصف الملف: electronic resource
العلاقة: http://www.sciencedirect.com/science/article/pii/S240584402401569XTest; https://doaj.org/toc/2405-8440Test
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6دورية أكاديمية
المؤلفون: Xinyu Li, Zhi Qiao, Gang Wan, Sisi Zhu, Zhongxin Zhao, Xinnan Fan, Pengfei Shi, Jin Wan
المصدر: Sensors, Vol 24, Iss 11, p 3589 (2024)
مصطلحات موضوعية: deep learning, image dehazing, depth information, bilateral grid, Chemical technology, TP1-1185
الوصف: In adverse foggy weather conditions, images captured are adversely affected by natural environmental factors, resulting in reduced image contrast and diminished visibility. Traditional image dehazing methods typically rely on prior knowledge, but their efficacy diminishes in practical, complex environments. Deep learning methods have shown promise in single-image dehazing tasks, but often struggle to fully leverage depth and edge information, leading to blurred edges and incomplete dehazing effects. To address these challenges, this paper proposes a deep-guided bilateral grid feature fusion dehazing network. This network extracts depth information through a dedicated module, derives bilateral grid features via Unet, employs depth information to guide the sampling of bilateral grid features, reconstructs features using a dedicated module, and finally estimates dehazed images through two layers of convolutional layers and residual connections with the original images. The experimental results demonstrate the effectiveness of the proposed method on public datasets, successfully removing fog while preserving image details.
وصف الملف: electronic resource
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7دورية أكاديمية
المؤلفون: Huiqiang Xu, Shengcheng Cui, Zhi Qiao, Xiaodan Liu, Shizhi Yang, Heli Wei
المصدر: Remote Sensing, Vol 16, Iss 11, p 1884 (2024)
مصطلحات موضوعية: numerical model, stratospheric airships, detection bands, detection probability, Science
الوصف: This study proposes a numerical model to simulate the thermal characteristics of stratospheric airships (SA). This model introduces a simple yet accurate method for the selection of the optical bands for target detection based on multispectral features. The key to this model is the selection of the spectral bands in which a significant radiation difference exists between the target and its surrounding background. Using the signal-to-noise ratio (SNR), detection probability, and false alarm rate as model evaluation metrics, and based on the analysis of the radiation differences between the target and atmospheric background, it is found that there are two narrow bands possible for SA detection: one with a central wavelength of 8.83 µm and a bandwidth of 0.35 µm and the other with a central wavelength of 11.51 µm and a bandwidth of 0.34 µm. Further numerical simulations and theoretical analyses under varying space environments demonstrate that considerable detection potential can be achieved; thus, the presented optical detection model is useful for the night detection of SA targets.
وصف الملف: electronic resource
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8دورية أكاديمية
المؤلفون: Wenguang Yu, Qi Wang, Zhi Qiao
المصدر: Frontiers in Public Health, Vol 11 (2024)
مصطلحات موضوعية: mutual aid, aging care, time for care, the size of the care group, overlapping generations model, Public aspects of medicine, RA1-1270
الوصف: BackgroundChina has entered an aging society and will likely become the fastest-aging country in the world. The demand for aging care services has greatly increased. In recent years, the model of mutual aid for aging care has met the needs of older adults, especially those in rural areas. In this case, how much time should be spent on mutual aid for the older adult in terms of time and how much influence the size of the group has in terms of space are two very important questions when studying mutual aid for aging care.MethodsAn overlapping generations model is built in this article, which includes representative agents, representative enterprises, the endowment insurance system constructed by the government, and the behavior of representative agents in mutual aid for aging care under the background of active aging.ResultsIn the base case, the optimal proportion of time to participate in the mutual aid group is 9.31%, and the optimal proportion of time is influenced by the benchmark time of care and the size of the care group. With the increase in the benchmark time of care, the optimal proportion of time increases correspondingly, but the increase is decreasing. With the increase in the size of the care group, the optimal proportion of time decreases, but after the size reaches 4 or 5, the impact becomes very small. When parents' psychological preference coefficient changes from 0.1 to 0.9, that is, when parents change from introverted to extroverted personalities, the optimal proportion of time and parents' utility will also change.ConclusionFor children who usually take care of their parents for a long benchmark time, the optimal time to participate in the mutual aid group based on personal utility maximization is also long. Second, as the size of the group increases, the time for representative agents to participate in the mutual aid group gradually decreases. In addition, the model of mutual aid for aging care is highly correlated with parents' personalities, and extrovert parents benefit more from this model.
وصف الملف: electronic resource
العلاقة: https://www.frontiersin.org/articles/10.3389/fpubh.2023.1196411/fullTest; https://doaj.org/toc/2296-2565Test
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9دورية أكاديمية
المؤلفون: Yue Qu, Boyu Zhang, Han Xu, Zhi Qiao, Luo Liu
المصدر: Remote Sensing, Vol 16, Iss 6, p 949 (2024)
مصطلحات موضوعية: cropland monitoring, long time series, Google Earth Engine, deep learning, Landsat, Science
الوصف: Timely and accurate acquisition of spatial distribution and changes in cropland is of significant importance for food security and ecological preservation. Most studies that monitor long-term changes in cropland tend to overlook the rationality in the process of cropland evolution, and there are conflicts between the interannual cropland data, so they cannot be used to analyze land use change. This study focuses on the rationality of annual identification results for cropland, considering the long-term evolution and short-term variations influenced by natural environmental changes and human activities. An approach for annual monitoring of cropland based on long time series and deep learning is also proposed. We acquired imagery related to cropland’s vegetation lush period (VLP) and vegetation differential period (VDP) from Landsat images on the Google Earth Engine (GEE) platform and used the ResUNet-a structural model for training. Finally, a long-time-series cropland correction algorithm based on LandTrendr is introduced, and interannual cropland maps of Guangdong Province from 1991 to 2020 were generated. Evaluating the cropland monitoring results in Guangdong Province every five years, we found an overall accuracy of 0.91–0.93 and a kappa coefficient of 0.80–0.83. Our results demonstrate good consistency with agricultural statistical data. Over the past 30 years, the total cropland area in Guangdong Province has undergone three phases: a decrease, significant decrease, and stabilization. Significant regional variations have also been observed. Our approach can be applied to long-time-series interannual cropland monitoring in the southern regions of China, providing valuable data support for the further implementation of cropland protection.
وصف الملف: electronic resource
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10دورية أكاديمية
المؤلفون: Zhi Qiao, Fuhui Zhang, He Lu, Yan Xu, Guibin Zhang
المصدر: International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-12 (2023)
مصطلحات موضوعية: Knowledge graph, Semantic relevance, Text semantic enhancement, Deep learning, Electronic medical record, Electronic computers. Computer science, QA75.5-76.95
الوصف: Abstract This paper studies the extraction of information from unstructured text data of medical literature and electronic medical records in the field of medicine, and proposes a TCM-KR method of knowledge reasoning based on electronic medical records to enhance association rules, and carries out a study on association characteristics in the field of the electronic medical record. This method abstracts the word bag representation mode of text semantics from the unstructured data representation and integrates the correlation information of the knowledge graph of the medicine domain. The method based on a graph convolutional network was used to predict the unknown associations' relations between viscera, channel tropism, and channel distribution. The experimental results show that the TCM-KR method can efficiently infer a large amount of high-quality triple knowledge from the unstructured text data of medicine, and predict the correlation characteristics of Syndromes-Viscera, Chinese medicinal-Channel tropism, Acupoints-Channel distribution in treating lumbar intervertebral disc prolapse and provide a dedicated machine learning model and guidance for clinical diagnosis and treatment.
وصف الملف: electronic resource
العلاقة: https://doaj.org/toc/1875-6883Test