15,370 results on '"Dong, LIU"'
Search Results
2. An Identification Method for Rotor Axis Orbits based on Enhanced Hierarchical Multivariate Fuzzy Entropy and Extreme Learning Machine
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Fei, Chen, Pengfei, Lan, Ting, Liu, Tingting, Zhang, Kun, Wang, Dong, Liu, Mao, Fan, Bin, Wang, and Fengjiao, Wu
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- 2024
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3. Research and Application of Windowing for High-Grade Steel Thick-Wall Casing in Ultradeep Wells
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Ming, Tang, Guangfu, Zhang, Shiming, He, Shuangning, Wang, Xiaosen, Liu, and Dong, Liu
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- 2024
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4. Glycodiversification of gentamicins through in vivo glycosyltransferase swapping enabled the creation of novel hybrid aminoglycoside antibiotics with potent activity and low ototoxicity
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Xinyun Jian, Cheng Wang, Shijuan Wu, Guo Sun, Chuan Huang, Chengbing Qiu, Yuanzheng Liu, Peter F. Leadlay, Dong Liu, Zixin Deng, Fuling Zhou, and Yuhui Sun
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Antibiotic ,Aminoglycoside biosynthesis ,Biosynthetic engineering ,Ototoxicity ,Therapeutics. Pharmacology ,RM1-950 - Abstract
Aminoglycosides (AGs) are a class of antibiotics with a broad spectrum of activity. However, their use is limited by safety concerns associated with nephrotoxicity and ototoxicity, as well as drug resistance. To address these issues, semi-synthetic approaches for modifying natural AGs have generated new generations of AGs, however, with limited types of modification due to significant challenges in synthesis. This study explores a novel approach that harness the bacterial biosynthetic machinery of gentamicins and kanamycins to create hybrid AGs. This was achieved by glycodiversification of gentamicins via swapping the glycosyltransferase (GT) in their producer with the GT from kanamycins biosynthetic pathway and resulted in the creation of a series of novel AGs, therefore referred to as genkamicins (GKs). The manipulation of the hybrid biosynthetic pathway enabled the targeted accumulation of different GK species and the isolation and characterization of six GK components. These compounds display retained antimicrobial activity against a panel of World Health Organization (WHO) critical priority pathogens, and GK-C2a, in particular, demonstrates low ototoxicity compared to clinical drugs in zebrafish embryos. This study provides a new strategy for diversifying the structure of AGs and a potential avenue for developing less toxic AG drugs to combat infectious diseases.
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- 2024
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5. Two near-chromosomal-level genomes of globally-distributed Macroascomycete based on single-molecule fluorescence and Hi-C methods
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Wei Liu, Xiaofei Shi, Yingli Cai, Wenhua Sun, Peixin He, Jesus Perez-Moreno, Dong Liu, and Fuqiang Yu
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Science - Abstract
Abstract Discinaceae holds significant importance within the Pezizales, representing a prominent group of macroascomycetes distributed globally. However, there is a dearth of genomic studies focusing on this family, resulting in gaps in our understanding of its evolution, development, and ecology. Here we utilized state-of-the-art genome assembly methodologies, incorporating third-generation single-molecule fluorescence and Hi-C-assisted methods, to elucidate the genomic landscapes of Gyromitra esculenta and Paragyromitra xinjiangensis. The genome sizes of two species were determined to be 47.10 Mb and 48.20 Mb, with 23 and 22 scaffolds, respectively. 10,438 and 11,469 coding proteins were identified, with functional annotations encompassing over 96.47% and 94.40%, respectively. Assessment of completeness using BUSCO revealed that 98.71% and 98.89% of the conserved proteins were identified. The application of comparative genomic technology has helped in identifying traits associated with of heterothallic life cycle traits and elucidating unique patterns of chromosomal evolution. Additionally, we identified potential saprotrophic nutritional modes and systematic phylogenetic relationships between the two species. Therefore, this study provides crucial genomic insights into the evolution, nutritional type, and ecological roles of species within the Pezizales.
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- 2024
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6. NAD+ metabolism and therapeutic strategies in cardiovascular diseases
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Chongxu Shi, Zhaozhi Wen, Yihang Yang, Linsheng Shi, and Dong Liu
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Nicotinamide adenine dinucleotide ,Atherosclerosis ,Cardiovascular diseases ,Vascular disorder ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Nicotinamide adenine dinucleotide (NAD+) is a central and pleiotropic metabolite involved in cellular energy metabolism, cell signaling, DNA repair, and protein modifications. Cardiovascular diseases (CVDs) are the leading cause of death worldwide. Metabolic stress and aging directly affect the cardiovascular system. Compelling data suggest that NAD + levels decrease with age, obesity, and hypertension, which are all notable risk factors for CVD. In addition, the therapeutic elevation of NAD + levels reduces chronic low-grade inflammation, reactivates autophagy and mitochondrial biogenesis, and enhances oxidative metabolism in vascular cells of humans and rodents with vascular disorders. In preclinical models, NAD + boosting can also expand the health span, prevent metabolic syndrome, and decrease blood pressure. Moreover, NAD + storage by genetic, pharmacological, or natural dietary NAD + -increasing strategies has recently been shown to be effective in improving the pathophysiology of cardiac and vascular health in different animal models, and human health. Here, we review and discuss NAD + -related mechanisms pivotal for vascular health and summarize recent experimental evidence in NAD + research directly related to vascular disease, including atherosclerosis, and coronary artery disease. Finally, we comparatively assess distinct NAD + precursors for their clinical efficacy and the efficiency of NAD + elevation in the treatment of major CVD. These findings may provide ideas for new therapeutic strategies to prevent and treat CVD in the clinic.
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- 2024
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7. The gene polymorphism and phenotype of RhD variants among blood donors in Chongqing
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Jingyi LIU, Danli CUI, Fang WANG, Meijun LI, Dong LIU, Xiaoyan XIE, Min CHEN, Weiyi FU, Dongyan YANG, and Qiaolin ZHANG
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rhd variants ,rhd gene ,single-molecule real-time sequencing(smrt) ,third generation sequencing(tgs) ,serology ,chongqing ,Diseases of the blood and blood-forming organs ,RC633-647.5 ,Medicine - Abstract
Objective To conduct Rh blood group serological testing and third-generation sequencing(TGS) on 22 RhD variant voluntary blood donors in Chongqing and explore the phenotypic distribution and genotyping of RhD variants in Chongqing. Methods From January to August 2023, individuals who participated in blood donation in our blood center were selected as the study objects. RhD variant phenotype identification was performed using routine serological methods. Once the RhD variants were identified, tests on different antigenic epitopes of RhD were conducted using a D-screen assay kit. Furthermore, after the genomic DNA from 22 RhD variant blood samples was extracted, imbraided primers design and multi-segment amplification and splicing were used to sequence the full-length RHD gene for TGS. The RHD gene sequence was analyzed using SnapGene software. Results Among the 22 RhD variants, 8 were DVI type 3 (36.36%), with the main mutation of RHD-CE (3-6)-D hybrid allele. Six cases (27.27%) showed partial weak D15 type, with the main mutation of c.845G>A. There were 6 cases of Asia type Del (27.27%), with the main mutation of c.1227G>A. One case was weak D17 type with a mutation of c.340C>T and 1 case speculated to be partial D (c.491A>T, p. Asp164Val, missense mutation). Conclusion The most common RhD variant phenotype among blood donors in Chongqing is DVI type 3, and the full-length haplotype sequence of RHD variant alleles can be obtained by Pacific Bioscience single-molecule real-time sequencing(SMRT).
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- 2024
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8. Causal associations of obstructive sleep apnea with Chronic Respiratory Diseases: a Mendelian Randomization study
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Ping-Yang Hong, Dong Liu, Ang Liu, Xin Su, Xiao-Bin Zhang, and Yi-Ming Zeng
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Obstructive sleep apnea ,Chronic respiratory diseases ,Mendelian randomization analysis ,Chronic obstructive pulmonary disease ,Diseases of the respiratory system ,RC705-779 - Abstract
Abstract Purpose This study aimed to elucidate the causal relationship between Obstructive Sleep Apnea (OSA) and Chronic Respiratory Diseases (CRDs), employing Mendelian Randomization (MR) to overcome limitations inherent in observational studies. Methods Utilizing a two-sample MR approach, this study analyzed genetic variants as instrumental variables to investigate the causal link between OSA and various CRDs, including chronic obstructive pulmonary disease (COPD), asthma, bronchiectasis, and idiopathic pulmonary fibrosis (IPF). Data were sourced from the FinnGen Consortium (OSA, n = 375,657) and UK Biobank, focusing on genome-wide associations between single-nucleotide polymorphisms (SNPs) and the diseases. Instrumental variables were selected based on strict criteria, and analyses included a random-effects inverse-variance weighted method supplemented by several sensitivity analyses. Results The study suggests a protective effect of OSA against COPD (OR = 0.819, 95% CI 0.722–0.929, P-value = 0.002), which becomes non-significant after adjusting for BMI, indicating a potential mediating role of BMI in the OSA-COPD nexus. No significant causal links were found between OSA and other CRDs (asthma, IPF, bronchiectasis) or between COPD, asthma, and OSA. Conclusions Our findings reveal a BMI-mediated protective effect of OSA on COPD, with no causal connections identified between OSA and other CRDs. These results emphasize the complex relationship between OSA, BMI, and COPD, guiding future clinical strategies and research directions, particularly in light of the study’s genetic analysis limitations.
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- 2024
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9. Probing the black holes in a dark matter halo of M87 using gravitational wave echoes
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Dong Liu, Yi Yang, and Zheng-Wen Long
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Astrophysics ,QB460-466 ,Nuclear and particle physics. Atomic energy. Radioactivity ,QC770-798 - Abstract
Abstract Variations at the event horizon structure of a black hole will emit the signals of the gravitational wave echoes associated with the ringdown of the binary black hole merger. In this work, combining mass model of M87 and Einasto profile for dark matter halo, we construct one formal solution of black holes in dark matter halo, and this solution includes the regular black hole for geometric parameter $$a < 2M$$ a < 2 M and the wormhole for $$a \ge 2M$$ a ≥ 2 M . Then, we test this solution under axial gravitational perturbation and calculate their quasinormal modes (QNM). Our results show that when geometric parameter $$a>2M$$ a > 2 M , a series of gravitational wave echoes appear after the QNM, and one distinctive feature of gravitational wave echoes is the double barrier. Besides, we also study the impacts of shape parameters $$\alpha $$ α of Einasto profile both on the QNM and gravitational wave echoes, and extract their frequencies using WKB method and Prony method. In principle, with the increasing of shape parameter $$\alpha $$ α , the frequencies of the QNM and gravitational wave echoes between the different shape parameters must be different. But now there is zero difference of the frequencies between shape parameter $$\alpha =0.18$$ α = 0.18 and $$\alpha =0.20$$ α = 0.20 . Zero difference is not allowed, so we give an upper limit for shape parameter $$\alpha $$ α , which is approximately $$\alpha
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- 2024
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10. Analysis of hepatitis B Virus Test results among blood donors in Chongqing, China
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Lan Wei, Min Chen, Fang Wang, Meijun Li, Dong Liu, Chengbing Xie, Dongyan Yang, Siyang Wen, and Yongzhu Xu
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Hepatitis B virus (HBV) ,Donors ,Nucleic acid testing ,Occult HBV infection ,Screening strategies ,Infectious and parasitic diseases ,RC109-216 - Abstract
Abstract Background Hepatitis B virus (HBV) infection is a major concern regarding blood safety in countries with a high HBV prevalence, such as China. We aimed to understand the prevalence of HBV infection among blood donors in Chongqing and provide an important basis for developing appropriate blood screening strategies. Methods Dual enzyme-linked immunosorbent assays (ELISAs) for hepatitis B surface antigen (HBsAg) were conducted in parallel with nucleic acid testing (NAT) of donors. All HBsAg-reactive and/or HBV DNA-positive blood samples were tested for HBsAg and hepatitis B DNA levels. Results A total of 117,927 blood donor samples were collected from the Chongqing Blood Center between April 2020 and November 2020. In total, 473 HBV-ineligible samples were retained for HBsAg and DNA confirmation. A total of 272 samples were confirmed to be HBsAg+, including 2 HBV DNA − and 270 HBV DNA + samples. A total of 201 donations were HBsAg−, including 72 HBV DNA − samples. The rate of HBV infection was 65.33% (309/473) in men, which was significantly higher than that in women (p
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- 2024
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11. Identifying enthesitis in the sacroiliac joints in patients with axial spondyloarthritis by readers of varying experience: impact of the learning progress
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Dong Liu, Jiaoshi Zhao, Churong Lin, Budian Liu, Jinwei Li, Yuxuan Zhang, Ou Jin, and Jieruo Gu
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MRI ,Enthesitis ,Spondyloarthritis ,Sacroiliac joint ,Experience and training ,Diseases of the musculoskeletal system ,RC925-935 - Abstract
Abstract Background This study aimed to investigate the accuracy of identifying enthesitis along with other inflammatory lesions and structural lesions on the MRI of the sacroiliac joints (SIJ) by readers of varying experience and how training sessions and workshops could help improve the accuracy. Methods A total of 224 patients with clinical diagnosis of axial spondyloarthritis who underwent SIJ MRI examinations were retrospectively included in this study. Three readers with 5 years, 3 years and 1 year of experience in musculoskeletal imaging were invited to review the SIJ MRI images independently, while the imaging reports of a senior radiologist (> 10 years’ experience) were used as reference. After the first round of image review, a training session and a workshop on the imaging of SIJ in spondyloarthritis were held and the three readers were asked to review the images in the second round. We calculated the accuracy of identifying inflammatory and structural lesions of the three readers as well as the intra-reader agreement. Results Enthesitis could be observed in 52.23% of the axial spondyloarthritis patients, while 81.58% of the patients with enthesitis were accompanied with bone marrow edema. All the three readers showed better accuracy at identifying structural lesions than inflammatory lesions. In the first round of image review, the three readers only correctly identified 15.07%, 2.94% and 0.74% of the enthesitis sites. After the training session and workshop, the accuracy rose to 61.03%, 39.34% and 20.22%. The intra-reader agreement of enthesitis calculated as Cohen’s kappa was 0.23, 0.034 and 0.014, respectively. Conclusion Readers with less experience in musculoskeletal imaging showed lower accuracy of identifying inflammatory lesions, notably enthesitis. Training sessions and workshops could help improve the diagnostic accuracy of the junior readers.
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- 2024
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12. Construction and validation of predictive models for intravenous immunoglobulin–resistant Kawasaki disease using an interpretable machine learning approach
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Linfan Deng, Jian Zhao, Ting Wang, Bin Liu, Jun Jiang, Peng Jia, Dong Liu, and Gang Li
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kawasaki disease ,machine learning ,intravenous immunoglobulin resistance ,shapley additive explanations ,Pediatrics ,RJ1-570 - Abstract
Background Intravenous immunoglobulin (IVIG)-resistant Kawasaki disease is associated with coronary artery lesion development. Purpose This study aimed to explore the factors associated with IVIG-resistance and construct and validate an interpretable machine learning (ML) prediction model in clinical practice. Methods Between December 2014 and November 2022, 602 patients were screened and risk factors for IVIG-resistance investigated. Five ML models are used to establish an optimal prediction model. The SHapley Additive exPlanations (SHAP) method was used to interpret the ML model. Results Na+, hemoglobin (Hb), C-reactive protein (CRP), and globulin were independent risk factors for IVIG-resistance. A nonlinear relationship was identified between globulin level and IVIG-resistance. The XGBoost model exhibited excellent performance, with an area under the receiver operating characteristic curve of 0.821, accuracy of 0.748, sensitivity of 0.889, and specificity of 0.683 in the testing set. The XGBoost model was interpreted globally and locally using the SHAP method. Conclusion Na+, Hb, CRP, and globulin levels were independently associated with IVIG-resistance. Our findings demonstrate that ML models can reliably predict IVIG-resistance. Moreover, use of the SHAP method to interpret the established XGBoost model's findings would provide evidence of IVIG-resistance and guide the individualized treatment of Kawasaki disease.
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- 2024
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13. Cell fate decision by a morphogen-transcription factor-chromatin modifier axis
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Jin Ming, Lihui Lin, Jiajun Li, Linlin Wu, Shicai Fang, Tao Huang, Yu Fu, Dong Liu, Wenhui Zhang, Chen Li, Yongzheng Yang, Yi Huang, Yue Qin, Junqi Kuang, Xingnan Huang, Liman Guo, Xiaofei Zhang, Jing Liu, Jiekai Chen, Chengchen Zhao, Bo Wang, and Duanqing Pei
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Science - Abstract
Abstract Cell fate decisions remain poorly understood at the molecular level. Embryogenesis provides a unique opportunity to analyze molecular details associated with cell fate decisions. Works based on model organisms have provided a conceptual framework of genes that specify cell fate control, for example, transcription factors (TFs) controlling processes from pluripotency to immunity1. How TFs specify cell fate remains poorly understood. Here we report that SALL4 relies on NuRD (nucleosome-remodeling and deacetylase complex) to interpret BMP4 signal and decide cell fate in a well-controlled in vitro system. While NuRD complex cooperates with SALL4 to convert mouse embryonic fibroblasts or MEFs to pluripotency, BMP4 diverts the same process to an alternative fate, PrE (primitive endoderm). Mechanistically, BMP4 signals the dissociation of SALL4 from NuRD physically to establish a gene regulatory network for PrE. Our results provide a conceptual framework to explore the rich landscapes of cell fate choices intrinsic to development in higher organisms involving morphogen-TF-chromatin modifier pathways.
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- 2024
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14. Gca-pvt-net: group convolutional attention and PVT dual-branch network for oracle bone drill chisel segmentation
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Guoqi Liu, Yiping Yang, Xueshan Li, Dong Liu, Linyuan Ru, and Yanbiao Han
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Oracle bone drill chisel segmentation ,Transformer ,Convolutional neural networks ,Pyramid vision transformer ,Fine Arts ,Analytical chemistry ,QD71-142 - Abstract
Abstract Oracle bones (Obs) are a significant carrier of the shang dynasty civilization, primarily consisting of tortoise shells and animal bones, through the study of which we can gain a deeper understanding of the political, economic, religious, and cultural aspects of the shang dynasty. The oracle bone drill chisel (Obdc) is considered an essential non-textual material. The segmentation of Obdc assists archaeologists determine the approximate age of the Obs, which possesses considerable research value. However, the breakage of thousands of years of underground buried Obs, the blurring of the edges of the area burned by the Obdc, the different shapes, and the inconsistent number have brought challenges to the accurate segmentation of the Obdc. In this article, we propose a group convolutional attention and pvt dual-branch network (GCA-PVT-Net) for Obdc segmentation. To our knowledge, this paper is the first to research the automatic segmentation of Obdc. It is a hybrid Convolutional neural network (CNN) and Transformer framework. The work offers the following contributions: (1) The Obdc images are labeled based on the delineation criteria of different drill chisel (DC) shapes to create the Obdc dataset. (2) A convolutional attention module (CAM) is proposed as both an encoder and decoder. The feature extraction process, which effectively integrates global and local information, ensures better modeling of long-term correlations in images while preserving details. (3) A channel feature aggregation module (CFAM) is designed to enhance the effective integration of channel features, enabling feature fusion across various branches and at different levels. (4) The edge deep supervision strategy is applied to smooth the jagged edge of the predicted images at the decoder’s end. Extensive experiments on the Obdc dataset show that GCA-PVT-Net outperforms other state-of-the-art (SOTA) methods. The comparative experimental results show that the edge accuracy and segmentation accuracy of the model reach the top 1.
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- 2024
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15. Engineering mouse cell fate controller by rational design
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Tao Huang, Dong Liu, Xiaomin Wang, Junqi Kuang, Manqi Wu, Beibei Wang, Zechuan Liang, Yixin Fan, Bo Chen, Zhaoyi Ma, Yu Fu, Wenhui Zhang, Jin Ming, Yue Qin, Chengchen Zhao, Bo Wang, and Duanqing Pei
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Science - Abstract
Abstract Cell fate is likely regulated by a common machinery, while components of this machine remain to be identified. Here we report the design and testing of engineered cell fate controller NanogBiD, fusing BiD or BRG1 interacting domain of SS18 with Nanog. NanogBiD promotes mouse somatic cell reprogramming efficiently in contrast to the ineffective native protein under multiple testing conditions. Mechanistic studies further reveal that it facilitates cell fate transition by recruiting the intended Brg/Brahma-associated factor (BAF) complex to modulate chromatin accessibility and reorganize cell state specific enhancers known to be occupied by canonical Nanog, resulting in precocious activation of multiple genes including Sall4, miR-302, Dppa5a and Sox15 towards pluripotency. Although we have yet to test our approach in other species, our findings suggest that engineered chromatin regulators may provide much needed tools to engineer cell fate in the cells as drugs era.
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- 2024
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16. Probing black holes in a dark matter spike of M87 using quasinormal modes
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Dong Liu, Yi Yang, and Zheng-Wen Long
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Astrophysics ,QB460-466 ,Nuclear and particle physics. Atomic energy. Radioactivity ,QC770-798 - Abstract
Abstract Dark matter density can be significantly enhanced by the supermassive black hole at the galactic center, leading to a structure called dark matter spike. Dark matter spike may change the spacetime properties of black holes that constitute deviations from GR black holes. Based on these interesting background, we construct a set of solutions of black holes in a dark matter spike under the Newtonian approximation and full relativity. Combining the mass model of M87, we study the quasinormal modes of black holes in the scalar field and axial gravitational perturbation, then compared them with Schwarzschild black hole. Besides, the impacts of dark matter on the quasinormal mode of black holes have been studied in depth. In particular, in the axial gravitational perturbation, our results show that the impacts of dark matter spike on the quasinormal mode of black holes can reach up to $$10^{-4}$$ 10 - 4 . These new features from quasinormal mode of black holes under the Newtonian approximation and full relativity may provide some help for the establishment of the final dark matter model, and provide a new thought for the indirect detection of dark matter.
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- 2024
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17. FSRW: fuzzy logic-based whale optimization algorithm for trust-aware routing in IoT-based healthcare
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Hui Xu, Wei-dong Liu, Lu Li, Deng-ju Yao, and Lin Ma
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Internet of Things ,Healthcare ,Routing ,Fuzzy logic ,Whale optimization algorithm ,Medicine ,Science - Abstract
Abstract The Internet of Things (IoT) is an extensive system of interrelated devices equipped with sensors to monitor and track real world objects, spanning several verticals, covering many different industries. The IoT's promise is capturing interest as its value in healthcare continues to grow, as it can overlay on top of challenges dealing with the rising burden of chronic disease management and an aging population. To address difficulties associated with IoT-enabled healthcare, we propose a secure routing protocol that combines a fuzzy logic system and the Whale Optimization Algorithm (WOA) hierarchically. The suggested method consists of two primary approaches: the fuzzy trust strategy and the WOA-inspired clustering methodology. The first methodology plays a critical role in determining the trustworthiness of connected IoT equipment. Furthermore, a WOA-based clustering framework is implemented. A fitness function assesses the likelihood of IoT devices acting as cluster heads. This formula considers factors such as centrality, range of communication, hop count, remaining energy, and trustworthiness. Compared with other algorithms, the proposed method outperformed them in terms of network lifespan, energy usage, and packet delivery ratio by 47%, 58%, and 17.7%, respectively.
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- 2024
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18. Joint effect of atrial fibrillation and obesity on mortality in critically ill patients
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Hong-Da Zhang, Lei Ding, Li-Jie Mi, Ai-Kai Zhang, Yuan-Dong Liu, Fu-Hua Peng, Xin-Xin Yan, Yu-Jing Shen, and Min Tang
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Atrial fibrillation ,Obesity ,Mortality ,Intensive care unit ,Nutritional diseases. Deficiency diseases ,RC620-627 - Abstract
Abstract Background The interplay between atrial fibrillation (AF) and obesity on mortality in critically ill patients warrants detailed exploration, given their individual impacts on patient prognosis. This study aimed to assess the associations between AF, obesity, and 1-year mortality in a critically ill population. Methods Utilizing data from the Medical Information Mart for Intensive Care (MIMIC)-IV database, we conducted a retrospective analysis of adult patients admitted to the intensive care unit. The primary endpoint was 1-year mortality, analyzed through Cox regression with hazard ratio (HR) and Kaplan-Meier survival methods. Results The study included 25,654 patients (median age 67.0 years, 40.6% female), with 39.0% having AF and 36.1% being obese. Multivariate COX regression analysis revealed that AF was associated with a 14.7% increase in the risk of 1-year mortality (p
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- 2024
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19. Population structure and selection signal analysis of indigenous sheep from the southern edge of the Taklamakan Desert
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Zhi-peng Han, Rui-zhi Yang, Wen Zhou, Lu-lu Zhang, Jie-ru Wang, Chun-jie Liu, and Shu-dong Liu
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Taklamakan desert ,Native sheep ,Population structure ,Selection signals ,Adaptability ,Biotechnology ,TP248.13-248.65 ,Genetics ,QH426-470 - Abstract
Abstract Analyzing the genetic diversity and selection characteristics of sheep (Ovis aries) holds significant value in understanding their environmental adaptability, enhancing breeding efficiency, and achieving effective conservation and rational utilization of genetic resources. In this study, we utilized Illumina Ovine SNP 50 K BeadChip data from four indigenous sheep breeds from the southern margin of the Taklamakan Desert (Duolang sheep: n = 36, Hetian sheep: n = 74, Kunlun sheep: n = 27, Qira black sheep: n = 178) and three foreign meat sheep breeds (Poll Dorset sheep: n = 105, Suffolk sheep: n = 153, Texel sheep: n = 150) to investigate the population structure, genetic diversity, and genomic signals of positive selection within the indigenous sheep. According to the Principal component analysis (PCA), the Neighbor-Joining tree (NJ tree), and Admixture, we revealed distinct clustering patterns of these seven sheep breeds based on their geographical distribution. Then used Cross Population Extended Haplotype Homozygosity (XP-EHH), Fixation Index (FST), and Integrated Haplotype Score (iHS), we identified a collective set of 32 overlapping genes under positive selection across four indigenous sheep breeds. These genes are associated with wool follicle development and wool traits, desert environmental adaptability, disease resistance, reproduction, and high-altitude adaptability. This study reveals the population structure and genomic selection characteristics in the extreme desert environments of native sheep breeds from the southern edge of the Taklimakan Desert, providing new insights into the conservation and sustainable use of indigenous sheep genetic resources in extreme environments. Additionally, these findings offer valuable genetic resources for sheep and other mammals to adapt to global climate change.
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- 2024
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20. Survival prediction using apparent diffusion coefficient values in recurrent glioblastoma under bevacizumab treatment: an updated systematic review and meta-analysis
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Dong Liu and Zhangyu Li
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glioblastoma ,bevacizumab treatment ,apparent diffusion coefficient ,overall survival ,progression-free survival ,Medical physics. Medical radiology. Nuclear medicine ,R895-920 - Abstract
Bevacizumab is a common strategy for the treatment of recurrent glioblastoma. Survival status is a crucial issue for patients with recurrent glioblastoma, and the apparent diffusion coefficient (ADC) values of the lower Gaussian curve have been reported to have the potential to predict prognosis in recurrent glioblastoma. In the present study, we aimed to clarify the survival prediction of ADC values in patients with recurrent glioblastoma receiving bevacizumab treatment through a systematic review and meta-analysis of randomized clinical trials, comparing ADC values higher than the cut-off values with those lower than the cut-off values to determine which type of ADC values can be associated with significant survival benefits. Different survival indicators were analyzed, including overall survival (OS) and progression-free survival (PFS). Ten studies with a total of 782 patients with recurrent glioblastoma were included. The focused outcomes were OS and PFS. Our results showed that ADC values lower than the cut-off values were associated with significant benefits for OS status compared with ADC values higher than the cut-off values. Similar significant benefits were observed for PFS. The meta-analysis results suggest that ADC values lower than the cut-off values might be associated with significant benefits for OS and PFS when compared with ADC values higher than the cut-off values. However, bias in relation to the different stages of recurrent glioblastoma and different types, doses, and regimens of bevacizumab should not be ignored.
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- 2024
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21. Association between atherogenic index of plasma and gestational diabetes mellitus: a prospective cohort study based on the Korean population
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Juan Zhang, Yaoyu Suo, Li Wang, Dong Liu, Yue Jia, Yajuan Fu, Weining Fan, and Yideng Jiang
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Gestational diabetes mellitus ,Predictors ,Atherogenic index of plasma ,Cohort study ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Abstract Background Atherogenic index of plasma (AIP) is a non-traditional lipid parameter that can reflect the burden of atherosclerosis. A lipid profile resembling atherosclerosis emerged during pregnancy. Although lipid metabolism is pivotal in diabetes pathogenesis, there is no evidence linking AIP to gestational diabetes mellitus (GDM). Therefore, our objective was to explore the relationship between AIP and GDM and assess AIP's predictive capability for GDM. Methods This was a secondary analysis based on data from a prospective cohort study in Korea involving 585 single pregnant women. AIP was calculated as log10 (TG/HDL). We examined the relationship between AIP and GDM using logistic regression models, curve fitting, sensitivity analyses, and subgroup analyses. Receiver operating characteristic (ROC) analysis was also used to determine the ability of AIP to predict GDM. Results The average age of the participants was 32.06 ± 3.76 years. The AIP was 0.24 ± 0.20 on average. The GDM incidence was 6.15%. After adjustment for potentially confounding variables, AIP showed a positive linear relationship with GDM (P for non-linearity: 0.801, OR 1.58, 95% CI 1.27–1.97). The robustness of the connection between AIP and GDM was demonstrated by sensitivity analyses and subgroup analyses. An area under the ROC curve of 0.7879 (95% CI 0.7087–0.8671) indicates that AIP is an excellent predictor of GDM. With a specificity of 75.41% and sensitivity of 72.22%, the ideal AIP cut-off value for identifying GDM was 0.3557. Conclusions This study revealed that the AIP at 10–14 weeks of gestation was independently and positively correlated with GDM risk. AIP could serve as an early screening and monitoring tool for pregnant women at high risk of GDM, thereby optimizing GDM prevention strategies. Trial registration ClinicalTrials.gov registration no. NCT02276144. Graphical abstract
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- 2024
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22. Pig blastocyst-like structure models from embryonic stem cells
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Jinzhu Xiang, Hanning Wang, Bingbo Shi, Jiajun Li, Dong Liu, Kaipeng Wang, Zhuangfei Wang, Qiankun Min, Chengchen Zhao, and Duanqing Pei
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Cytology ,QH573-671 - Abstract
Abstract Pluripotent stem cells have the potential to generate embryo models that can recapitulate developmental processes in vitro. Large animals such as pigs may also benefit from stem-cell-based embryo models for improving breeding. Here, we report the generation of blastoids from porcine embryonic stem cells (pESCs). We first develop a culture medium 4FIXY to derive pESCs. We develop a 3D two-step differentiation strategy to generate porcine blastoids from the pESCs. The resulting blastoids exhibit similar morphology, size, cell lineage composition, and single-cell transcriptome characteristics to blastocysts. These porcine blastoids survive and expand for more than two weeks in vitro under two different culture conditions. Large animal blastoids such as those derived from pESCs may enable in vitro modeling of early embryogenesis and improve livestock species’ breeding practices.
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- 2024
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23. Neutrophil percentage-to-albumin ratio is a potential marker of intravenous immunoglobulin resistance in Kawasaki disease
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Linfan Deng, Ting Wang, Yan Duan, Bin Liu, Jun Jiang, Dong Liu, and Gang Li
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Medicine ,Science - Abstract
Abstract Intravenous immunoglobulin (IVIG) resistance in Kawasaki disease (KD) was associated with coronary artery lesions. Neutrophil percentage-to-albumin ratio (NPAR) is an index of mortality in several inflammatory diseases. This study focused on the association of NPAR with IVIG- resistance in KD. Clinical and laboratory data of 438 children with KD before IVIG treatment were retrospectively analyzed. Notably, high NPAR was associated with older age, high WBC, NP, ALT, total bilirubin and CRP, as well as with high the incidence of IVIG-resistance, and with low hemoglobin (Hb), PLT, ALB and sodium levels. NPAR (OR: 2.366, 95% CI: 1.46–3.897, p = 0.001) and Hb (OR: 0.967, 95% CI: 0.944–0.989, p = 0.004) were independent risk factors for IVIG-resistance. NPAR showed linear relation with IVIG-resistance (p for nonlinear = 0.711) and the nonlinear correlation was found between IVIG-resistance and Hb (p for nonlinear = 0.002). The predictive performance of NPAR was superior to Beijing model (z = 2.193, p = 0.028), and not inferior to Chongqing model (z = 0.983, p = 0.326) and the combination of NPAR and Hb (z = 1.912, p = 0.056). These findings revealed that NPAR is a reliable predictor of IVIG-resistance.
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- 2024
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24. IOCSegFormer: Enhancing Wheat Ears Counting in Field Conditions Through Augmented Local Features.
- Author
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Hualei Shen, Yilong Peng, Jie Zhang, Hecang Zang, Meng Zhou, Guoqiang Li, and Dong Liu
- Published
- 2024
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25. GSDPI: An Integrated Feature Extraction Framework for Predicting Novel Drug-Protein Interaction.
- Author
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Yun Zhou, Yiran Ma, Dong Liu, Jiangli Shang, and Wei Wang
- Published
- 2024
- Full Text
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26. A Novel World Knowledge Aware Universal Representations of Design Patterns Based on Pre-trained Language Models.
- Author
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Dongzhen Wen, Dong Liu, Zheng Yao, He Jiang, and Hongfei Lin
- Published
- 2024
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27. ETVKT: Enhanced Training Vector for Knowledge Tracing.
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Dong Liu, Lintao Guo, Xurui Zhang, and Yongbo Li
- Published
- 2024
- Full Text
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28. MDGAE-DTI: Drug-Target Interactions Prediction Based on Multi-information Integration and Graph Auto-Encoder.
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Wei Wang, Huiru Liang, Shihao Liang, Dong Liu, Hongjun Zhang, Jiangli Shang, Yun Zhou, and Xianfang Wang
- Published
- 2024
- Full Text
- View/download PDF
29. MFFDTA: A Multimodal Feature Fusion Framework for Drug-Target Affinity Prediction.
- Author
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Wei Wang, Ziwen Su, Dong Liu, Hongjun Zhang, Jiangli Shang, Yun Zhou, and Xianfang Wang
- Published
- 2024
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30. Beimingwu: A Learnware Dock System.
- Author
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Zhi-Hao Tan, Jian-Dong Liu, Xiao-Dong Bi, Peng Tan, Qin-Cheng Zheng, Hai-Tian Liu, Yi Xie, Xiao-Chuan Zou, Yang Yu 0001, and Zhi-Hua Zhou
- Published
- 2024
- Full Text
- View/download PDF
31. Deep Fusion of Shifted MLP and CNN for Medical Image Segmentation.
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Chengyu Yuan, Hao Xiong 0001, Guoqing Shangguan, Hualei Shen, Dong Liu, Haojie Zhang, Zhonghua Liu, Kun Qian 0003, Bin Hu 0001, Björn W. Schuller, Yoshiharu Yamamoto, and Shlomo Berkovsky
- Published
- 2024
- Full Text
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32. Object-Centric Instruction Augmentation for Robotic Manipulation.
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Junjie Wen, Yichen Zhu, Minjie Zhu, Jinming Li, Zhiyuan Xu, Zhengping Che, Chaomin Shen, Yaxin Peng, Dong Liu, Feifei Feng, and Jian Tang 0008
- Published
- 2024
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33. Language-Conditioned Robotic Manipulation with Fast and Slow Thinking.
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Minjie Zhu, Yichen Zhu, Jinming Li, Junjie Wen, Zhiyuan Xu, Zhengping Che, Chaomin Shen, Yaxin Peng, Dong Liu, Feifei Feng, and Jian Tang 0008
- Published
- 2024
- Full Text
- View/download PDF
34. Content-adaptive Variable Resolution Framework for Intra Coding.
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Jiyu Xie, Li Li 0040, Dong Liu 0002, and Houqiang Li
- Published
- 2024
- Full Text
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35. Strengthening Critical Power Network Branches for Cascading Failure Mitigation.
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Biwei Li, Dong Liu 0012, Junyuan Fang, Xi Zhang 0007, and Chi K. Tse
- Published
- 2024
- Full Text
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36. DMOFC: Discrimination Metric-Optimized Feature Compression.
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Changsheng Gao, Yiheng Jiang, Li Li, Dong Liu, and Feng Wu
- Published
- 2024
- Full Text
- View/download PDF
37. Practical Learned Image Compression with Online Encoder Optimization.
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Haotian Zhang, Feihong Mei, Junqi Liao, Li Li 0040, Houqiang Li, and Dong Liu 0002
- Published
- 2024
- Full Text
- View/download PDF
38. CTO-SLAM: Contour Tracking for Object-Level Robust 4D SLAM.
- Author
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Xiaohan Li, Dong Liu, and Jun Wu
- Published
- 2024
- Full Text
- View/download PDF
39. Arbitrary-Scale Video Super-resolution Guided by Dynamic Context.
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Cong Huang, Jiahao Li, Lei Chu, Dong Liu, and Yan Lu
- Published
- 2024
- Full Text
- View/download PDF
40. Towards Making Learnware Specification and Market Evolvable.
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Jian-Dong Liu, Zhi-Hao Tan, and Zhi-Hua Zhou
- Published
- 2024
- Full Text
- View/download PDF
41. Generalizable Fourier Augmentation for Unsupervised Video Object Segmentation.
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Huihui Song, Tiankang Su, Yuhui Zheng, Kaihua Zhang, Bo Liu, and Dong Liu
- Published
- 2024
- Full Text
- View/download PDF
42. Offline and Online Optical Flow Enhancement for Deep Video Compression.
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Chuanbo Tang, Xihua Sheng, Zhuoyuan Li, Haotian Zhang, Li Li 0040, and Dong Liu 0002
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- 2024
- Full Text
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43. Mechanism of irreversible energy loss in impeller of contra-rotating axial fan
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Yongping CHEN, Ronghua LIU, Shiqiang CHEN, Shixian WU, Dong LIU, Yangyi LI, and Wenqing PENG
- Subjects
contra-rotating axial fan ,impeller ,irreversible energy loss ,entropy production theory ,flow characteristic ,Geology ,QE1-996.5 ,Mining engineering. Metallurgy ,TN1-997 - Abstract
With the urgent need of energy saving and consumption reduction in today's world, the topic of increasing the energy conversion efficiency of ventilation fans has been attracted a lot of attentions, it has become a key issue in the field of ventilation. The understanding on the evolution mechanism of irreversible energy loss in impeller is the premise and basis for realizing the efficient energy conversion of ventilation fans. At present, the irreversible energy loss mechanism in impeller is still lack of research. Therefore, the internal flow field of the contra-rotating axial fan at different flowrates is obtained by numerical simulation and experimental methods. A theoretical model of irreversible energy loss in impeller of ventilation fans is established based on entropy production theory, and the relationship between the irreversible energy loss in impeller and the flow field parameters is clarified. A quantitative analysis is conducted on different types of energy loss in impeller, and the spatial evolution law and causes of energy loss are clarified by combining with the flow characteristics in impeller. The results show that the entropy production method is reliable in calculating the irreversible energy loss in impeller. Direct viscous dissipation loss and wall friction loss are important components of energy loss, while turbulent dissipation is the main cause of energy loss, accounting for 60% to 80% of the total energy loss. For the front impeller, the energy loss caused by turbulent dissipation reaches the minimum at 1.0 QBEP, while the energy loss of the rear impeller increases with the decrease of flowrate. The energy loss is mainly concentrated in the region of Span=0.6−1.0, reaching 70% of the total energy loss at optimal flow condition. The spiral vortex caused by blade tip leakage flow and overflow of blade leading edge, backflow in impeller, flow separation at blade pressure and suction surface, and blade trailing edge wake will cause energy loss. The high energy loss region caused by flow separation and wake is relatively small, and the energy loss is relatively limited. However, the vortex and backflow significantly affect the flow in impeller, ultimately leading to a significant energy loss in the region near the blade tip. The research results can provide a reference for the evaluation of irreversible energy loss of ventilation fans.
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- 2024
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44. Recent advances of fundamentals and clinical researches of cholemic nephropathy
- Author
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Tian-ze Shang, Cheng-liang Zhang, and Dong Liu
- Subjects
cholemic nephropathy ,bile cast ,advanced liver disease ,jaundice ,acute renal dysfunction ,Internal medicine ,RC31-1245 - Abstract
Cholemic nephropathy (CN) is a disease with renal dysfunction as a major manifestation in patients with advanced chronic liver disease complicated with severe jaundice. Currently no effective non-invasive diagnostic modality is available for CN. Renal biopsy has been a gold standard for its clinical diagnosis. Furthermore, it is frequently misdiagnosed or confused with hepatorenal syndrome so that patient prognosis remains poor. The overall objective of clinical management is lowering a high level of bilirubin and blunting renal injury. If drug therapy fails, artificial liver systems may be employed for improving renal function. The underlying pathological mechanisms of CN have not been fully elucidated. However, recent studies implied that the development of disease was correlated closely with abnormal renal transporters, oxidative stress and inflammatory responses. Based upon previous studies, the authors summarized the latest researches on CN through focusing upon clinical diagnosis, potential pathogenesis and therapeutic strategies for providing theoretical rationales for advanced researches and clinical interventions of CN.
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- 2024
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45. Possible adverse events of imidazole antifungal drugs during treatment of vulvovaginal candidiasis: analysis of the FDA Adverse Event Reporting System
- Author
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Tianyu Zhou, Chongze Chen, Xiaowei Chen, Bin Wang, Feng Sun, Wanfang Li, Dong Liu, and Hongtao Jin
- Subjects
Medicine ,Science - Abstract
Abstract Azole antifungal drugs are commonly used to treat vulvovaginal candidiasis (VVC). The nephrotoxicity and developmental toxicity of azole drugs have not been systematically analyzed in the real world. We used the FDA Adverse Event Reporting System (FAERS) to investigate the adverse events (AEs) associated with imidazole therapy for VVC. FAERS data (from quarter 1 2004 to quarter 3 2022) were retrieved using OpenVigil 2.1, and AEs were retrieved and standardized according to the Medical Dictionary for Regulatory Activities (MedDRA). In the top 10 System Organ Class (SOC), all four drugs have been found to have kidney and urinary system diseases and pregnancy. We found significant signals, including clotrimazole [bladder transitional cell carcinoma, (report odds ratio, ROR = 291.66)], [fetal death, (ROR = 10.28)], ketoconazole[nephrogenic anemia (ROR = 22.1)], [premature rupture of membranes (ROR = 22.91 46.45, 11, 3)], Miconazole[hematuria (ROR = 19.03)], [neonatal sepsis (ROR = 123.71)], [spontaneous abortion (ROR = 5.98)], Econazole [acute kidney injury (ROR = 4.41)], [spontaneous abortion (ROR = 19.62)]. We also discovered new adverse reactions that were not reported. Therefore, when using imidazole drugs for treatment, it is necessary to closely monitor the patient's renal function, pay attention to the developmental toxicity of the fetus during pregnancy, and be aware of potential adverse reactions that may occur.
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- 2024
- Full Text
- View/download PDF
46. Low muscle density in children with osteogenesis imperfecta using opportunistic low-dose chest CT: a case-control study
- Author
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Yi Yuan, Yun-feng Xu, Chao Feng, Yan-dong Liu, Wen-shuang Zhang, Peng-ju Huang, Kang-kang Ma, Feng-yun Zhou, Zi-tong Cheng, Zheng Yang, Ling Wang, and Xiao-guang Cheng
- Subjects
Osteogenesis imperfecta ,Child ,Computed tomography ,Muscles ,Diseases of the musculoskeletal system ,RC925-935 - Abstract
Abstract Background The aim of the study was to investigate the muscle differences in children with osteogenesis imperfecta (OI) using opportunistic low-dose chest CT and to compare different methods for the segmentation of muscle in children. Methods This single center retrospective study enrolled children with OI and controls undergoing opportunistic low-dose chest CT obtained during the COVID pandemic. From the CT images, muscle size (cross-sectional area) and density (mean Hounsfield Units [HU]) of the trunk muscles were measured at the mid-T4 and the mid-T10 level using two methods, the fixed thresholds and the Gaussian mixture model. The Bland-Altman method was also used to compute the strength of agreement between two methods. Comparison of muscle results between OI and controls were analyzed with Student t tests. Results 20 children with OI (mean age, 9.1 ± 3.3 years, 15 males) and 40 age- and sex-matched controls were enrolled. Mean differences between two methods were good. Children with OI had lower T4 and T10 muscle density than controls measured by the fixed thresholds (41.2 HU vs. 48.0 HU, p
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- 2024
- Full Text
- View/download PDF
47. Molecular ferroelectric with low-magnetic-field magnetoelectricity at room temperature
- Author
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Zhao-Bo Hu, Xinyu Yang, Jinlei Zhang, Ling-Ao Gui, Yi-Fan Zhang, Xiao-Dong Liu, Zi-Han Zhou, Yucheng Jiang, Yi Zhang, Shuai Dong, and You Song
- Subjects
Science - Abstract
Abstract Magnetoelectric materials, which encompass coupled magnetic and electric polarizabilities within a single phase, hold great promises for magnetic controlled electronic components or electric-field controlled spintronics. However, the realization of ideal magnetoelectric materials remains tough due to the inborn competion between ferroelectricity and magnetism in both levels of symmetry and electronic structure. Herein, we introduce a methodology for constructing single phase paramagnetic ferroelectric molecule [TMCM][FeCl4], which shows low-magnetic-field magnetoelectricity at room temperature. By applying a low magnetic field (≤1 kOe), the halogen Cl‧‧‧Cl distance and the volume of [FeCl4]− anions could be manipulated. This structural change causes a characteristic magnetostriction hysteresis, resulting in a substantial deformation of ~10−4 along the a-axis under an in-plane magnetic field of 2 kOe. The magnetostrictive effect is further qualitatively simulated by density functional theory calculations. Furthermore, this mechanical deformation significantly dampens the ferroelectric polarization by directly influencing the overall dipole configuration. As a result, it induces a remarkable α 31 component (~89 mV Oe−1 cm−1) of the magnetoelectric tensor. And the magnetoelectric coupling, characterized by the change of polarization, reaches ~12% under 40 kOe magnetic field. Our results exemplify a design methodology that enables the creation of room-temperature magnetoelectrics by leveraging the potent effects of magnetostriction.
- Published
- 2024
- Full Text
- View/download PDF
48. Combined impact of sleep and obesity on female infertility in the NHANES 2017–2020
- Author
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Zhe Wang, Yun-Hui Lai, Song-Yu Huang, Yu-Dong Liu, and Shi-Ling Chen
- Subjects
Trouble sleeping/sleep duration ,Overweight/obesity/ abdominal obesity ,Female infertility ,Combined effects ,Gynecology and obstetrics ,RG1-991 ,Public aspects of medicine ,RA1-1270 - Abstract
Abstract Background Sleep health and obesity may affect the risk of female infertility. However, few studies focused on the interaction of obesity and sleep health on the female infertility risk. This study aimed to evaluate the combined impact of trouble sleeping / sleep duration and overweight/obesity/ abdominal obesity on the risk of female infertility. Methods The data for this cross-sectional study was obtained from National Health and Nutritional Examination Survey, which provided information on trouble sleeping, sleep duration, overweight/obesity, abdominal obesity, and confounding factors. Adopted weighted univariate and multivariate logistic regression models to explore the relationship between trouble sleeping, sleep duration, overweight/obesity, abdominal obesity, and the risk of infertility, respectively, and the combined effect of trouble sleeping and overweight/obesity, trouble sleeping and abdominal obesity, sleep duration and overweight/obesity, sleep duration and abdominal obesity, on the female infertility risk. Results This study included a total of 1,577 women, and 191 were diagnosed with infertility. Women with infertility had a higher proportion of people with overweight/obesity, abdominal obesity, sleep duration ≤ 7 h and trouble sleeping than those with non-infertility. The result indicated that trouble sleeping [odds ratio (OR) = 2.25, 95% confidence intervals (CI): 1.49–3.39], sleep duration ≤ 7 h (OR = 1.59, 95% CI: 1.03–2.48), and the combined impact of abdominal obesity and trouble sleeping (OR = 2.18, 95% CI: 1.28–3.72), abdominal obesity and sleep duration ≤ 7 h (OR = 2.00, 95% CI: 1.17–3.40), overweight/obesity and trouble sleeping (OR = 2.29, 95% CI: 1.24–4.26), and overweight/obesity and sleep duration ≤ 7 h (OR = 1.88, 95% CI: 1.01–3.49) were associated with increased odds of infertility, respectively. Conclusion There was combined effects of trouble sleeping/sleep duration ≤ 7 h and overweight/obesity/ abdominal obesity on increased odds of female infertility.
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- 2024
- Full Text
- View/download PDF
49. Seasonal response of nitrogen exchange fluxes to crab disturbance at sediment–water interface in coastal tidal wetlands
- Author
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Guo-fen Hua, Shang-qing Liu, Xiang-dong Liu, Jin-li Li, Yue Fang, Wen-ting Xie, and Xiang Xu
- Subjects
Coastal tidal flat wetland ,Crab disturbance ,Nitrogen flux ,Nitrification ,Denitrification ,Sediment–water interface ,River, lake, and water-supply engineering (General) ,TC401-506 - Abstract
Coastal wetlands are hotspots for nitrogen (N) cycling, and crab burrowing is known to transform N in intertidal marsh soils. However, the underlying mechanisms remain unclear. This study conducted field experiments and used indoor control test devices to investigate the seasonal response of nitrogen to crab disturbance at the sediment–water interface in coastal tidal flat wetlands. The results showed that crab disturbance exhibited significant seasonality with large seasonal differences in cave density and depth. Due to crab disturbance, nitrogen fluxes at the sediment–water interface were much greater in the box with crabs than in the box without crabs. In summer, NH4+-N showed a positive flux from the sediment to the overlying water, but NO2−-N and NO3−-N showed positive fluxes from the sediment to the overlying water only in early stages. In winter, NH4+-N showed a positive flux from the sediment to the overlying water, but NO2−-N and NO3−-N both exhibited positive and negative fluxes. These results indicated that the presence of crab burrows can cause the aerobic layer to move downward by approximately 8–15 cm in summer and directly promote nitrification at the sediment surface.
- Published
- 2024
- Full Text
- View/download PDF
50. Tolerance of Perovskite Solar Cells to Electrostatic Discharge in Martian Dust Activities
- Author
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Dong Liu, Xianyuan Jiang, Zhongchen Wu, Xianyang Sun, and Ying-Bo Lu
- Subjects
Chemistry ,QD1-999 - Published
- 2024
- Full Text
- View/download PDF
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