20 results on '"Zhao, Honggang"'
Search Results
2. Using fish hard‐part microchemistry and genetics to quantify population impacts of low‐use lock‐and‐dam structures on the Alabama River.
- Author
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Kratina, Garret J., DeVries, Dennis R., Wright, Russell A., Peatman, Eric, Rider, Steven J., and Zhao, Honggang
- Abstract
Objective: We used two approaches, fish hard‐part microchemistry and genetics, to quantify effects of low‐use lock‐and‐dam structures on riverine fish movement. Each approach varied in temporal scope, with microchemistry addressing effects within a lifetime and genetics addressing effects across generations. Methods: Water samples and individuals of two species (Paddlefish Polyodon spathula and Smallmouth Buffalo Ictiobus bubalus) were collected from four river sections that were separated by three low‐use lock‐and‐dam structures on the Alabama River. Quarterly water samples were collected from 15 sites during 2017–2018, and concentrations of Sr, Ba, Mn, Mg, and Ca were quantified using mass spectrometry. Result: Water elemental signatures were spatially variable but temporally consistent. The Sr:Ca ratios in fish hard parts differed significantly among river sections for both species. Additionally, discriminant function analyses classified fish to their river capture section with accuracy between 55% and 74% for Paddlefish (errors nearly always assigned individuals to adjacent river sections) and 37–47% for Smallmouth Buffalo. Population genetic analyses included fish from each river section, as well as from Alabama River tributaries and a neighboring watershed. Genotyping‐by‐sequence techniques identified 1,889 and 3,737 single nucleotide polymorphisms postfiltering in Paddlefish and Smallmouth Buffalo, respectively, which we used to estimate population diversity indices and conduct differentiation analyses. Analysis of molecular variance, discriminant analysis of principal components, Bayesian clustering, and pairwise comparisons of FST values indicated no strong evidence for genetic divergence in either species among river sections. Conclusion: Within‐lifespan results based on hard‐part microchemistry suggested a potential for population isolation. However, longer‐term genetic effects were not apparent, possibly because the life span of these large and relatively long‐lived species means that few generations have passed since dam construction, and there could be sufficient mixing or population connectivity to prevent genetic divergence across river sections, particularly at the most downstream structure. Impact StatementPaddlefish and Smallmouth Buffalo showed evidence of population separation by Alabama River lock‐and‐dams via a within‐generation measure (chemical composition of fish jaw bones and ear stones) but not with a longer‐term metric (genetic isolation). Both species are long lived relative to the age of the dams; effects may be more apparent in shorter‐lived species. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
3. Using fish hard‐part microchemistry and genetics to quantify population impacts of low‐use lock‐and‐dam structures on the Alabama River
- Author
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Kratina, Garret J., DeVries, Dennis R., Wright, Russell A., Peatman, Eric, Rider, Steven J., and Zhao, Honggang
- Abstract
We used two approaches, fish hard‐part microchemistry and genetics, to quantify effects of low‐use lock‐and‐dam structures on riverine fish movement. Each approach varied in temporal scope, with microchemistry addressing effects within a lifetime and genetics addressing effects across generations. Water samples and individuals of two species (Paddlefish Polyodon spathulaand Smallmouth Buffalo Ictiobus bubalus) were collected from four river sections that were separated by three low‐use lock‐and‐dam structures on the Alabama River. Quarterly water samples were collected from 15 sites during 2017–2018, and concentrations of Sr, Ba, Mn, Mg, and Ca were quantified using mass spectrometry. Water elemental signatures were spatially variable but temporally consistent. The Sr:Ca ratios in fish hard parts differed significantly among river sections for both species. Additionally, discriminant function analyses classified fish to their river capture section with accuracy between 55% and 74% for Paddlefish (errors nearly always assigned individuals to adjacent river sections) and 37–47% for Smallmouth Buffalo. Population genetic analyses included fish from each river section, as well as from Alabama River tributaries and a neighboring watershed. Genotyping‐by‐sequence techniques identified 1,889 and 3,737 single nucleotide polymorphisms postfiltering in Paddlefish and Smallmouth Buffalo, respectively, which we used to estimate population diversity indices and conduct differentiation analyses. Analysis of molecular variance, discriminant analysis of principal components, Bayesian clustering, and pairwise comparisons of FSTvalues indicated no strong evidence for genetic divergence in either species among river sections. Within‐lifespan results based on hard‐part microchemistry suggested a potential for population isolation. However, longer‐term genetic effects were not apparent, possibly because the life span of these large and relatively long‐lived species means that few generations have passed since dam construction, and there could be sufficient mixing or population connectivity to prevent genetic divergence across river sections, particularly at the most downstream structure. Impact StatementPaddlefish and Smallmouth Buffalo showed evidence of population separation by Alabama River lock‐and‐dams via a within‐generation measure (chemical composition of fish jaw bones and ear stones) but not with a longer‐term metric (genetic isolation). Both species are long lived relative to the age of the dams; effects may be more apparent in shorter‐lived species. Paddlefish and Smallmouth Buffalo showed evidence of population separation by Alabama River lock‐and‐dams via a within‐generation measure (chemical composition of fish jaw bones and ear stones) but not with a longer‐term metric (genetic isolation). Both species are long lived relative to the age of the dams; effects may be more apparent in shorter‐lived species.
- Published
- 2023
- Full Text
- View/download PDF
4. Serum Lipidomic Analysis Reveals Biomarkers and Metabolic Pathways of Thyroid Dysfunction.
- Author
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Dong, Hua, Zhou, Wenjie, Yan, Xingxu, Zhao, Huan, Zhao, Honggang, Jiao, Yan, Sun, Guijiang, Li, Yubo, and Zhang, Zuncheng
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- 2023
- Full Text
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5. Clinical diagnostic performance of a fully automated TSI immunoassay vs. that of an automated anti-TSHR immunoassay for Graves’ disease: a Chinese multicenter study
- Author
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Cheng, Xinqi, Chai, Xiaofeng, Ma, Chaochao, Jia, Qiang, Zhao, Honggang, Dong, Zuoliang, Zhang, Zuncheng, Hu, Yingying, Song, Ailing, Yang, Guohua, Qiu, Ling, and Lian, Xiaolan
- Abstract
Background: Both thyroid-stimulating immunoglobulins immunoassay (TSI IA) and thyrotrophin receptor antibody immunoassay (TRAb IA) are commonly used for the diagnosis of Graves’ disease (GD). The aim of the present study was to compare the clinical diagnostic performance of these two methods. Methods: Sera were obtained from 1103 subjects presenting a variety of clinical conditions from three centers: 100 subjects with untreated GD, 200 with treated GD, 62 with autoimmune thyroid disease(AIT), 216 with other thyroid diseases (OTHER-T), 214 with non-thyroid autoimmune diseases (NTAD), 191 with other diseases (OD), and 120 healthy subjects (HS). Both TSI and TRAb IAs were performed for all 1013 serum samples. Bioassay was performed for 86 samples whose TSI results were inconsistent the TRAb assay results. Results: Comparing untreated GD patients with the control groups (AIT, NTAD, OTHER-T, OD, and HS) resulted in an area under the curve (AUC) of 0.992 for the TSI IA and 0.989 for the TRAb IA with no statistically significant difference observed between these AUC values (P?=?0.2733). The best TSI CDP (clinical decision point) value was 0.42?IU/L. The differences in sensitivity (100% vs. 95%, P?=?0.7991) and specificity (97.1% vs. 97.6%, P?=?0.9426) between the TSI and TRAb IA were not statistically significant. TSI IA had a higher agreement with the TSI bioassay than TRAb IA. Conclusion: The clinical diagnostic performance of the TSI IA for diagnosing Graves’ disease was very similar to that of the TRAb IA. TSI IA can be used to diagnose GD in the Chinese.
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- 2021
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6. Modal interaction-enhanced prompt learning by transformer decoder for vision-language models
- Author
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Liu, Mingyue, Zhao, Honggang, Ma, Longfei, and Li, Mingyong
- Abstract
In the current multimodal retrieval field, CoOp is the preferred approach among many models due to its simplicity and powerful adaptive capability. However, CoOp focuses primarily on optimizing prompts to perform contrast learning, without considering image-text interactions and the impact on the model when visual information is incorporated into the prompts. In this work, we propose a prompt tuning method for simulating image-text interaction based on CoOp: Decoding context optimization (DeCoOp). Through extensive experiments on 11 image classification datasets, seven datasets under the few-shot setting and all 11 datasets under the zero-shot setting are ahead of CoOp in our method. Experiments on four target datasets of ImageNet show a model performance improvement of more than 10%, demonstrating that our approach substantially outperforms the baseline model CoOp in terms of point domain generalization and robustness. In addition, ablation experiments performed on three representative datasets confirmed the effectiveness and further improvement of the accuracy of DeCoOp. Finally, experiments are performed on 11 datasets using different visual backbones, and it is not difficult to find that the gap between our approach and handcrafted prompts is large in all architectures and shows better performance than CoOp.
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- 2023
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7. Multi-scene LoRa positioning algorithm based on Kalman filter and its implementation on NS3.
- Author
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Chen, Mingyao, Zhao, Honggang, Shi, Chen, Chen, Xiaoyu, and Niu, Dezhi
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KALMAN filtering ,INTERNET of things ,ALGORITHMS ,SCALABILITY ,CLOCKS & watches - Abstract
In recent years, LoRa positioning technology has been favored by researchers of the Internet of Things because of its wide coverage, low power consumption, low cost and applicability to indoor and outdoor positioning. However, the positioning process is susceptible to interference, fading, clock accuracy and other factors. The fine-grained positioning accuracy is generally only in the range of 20 ∼ 200 m, which is still far from the actual application requirements. At present, there are many physical experiments in the research of LoRa positioning, whose scalability is insufficient. The simulation research on LoRa positioning uses more commercial software, and there are few simulation experiments based on simulation platforms with high open source and good portability. Therefore, this paper proposes a multi-scene LoRa positioning algorithm based on Kalman filter. The positioning process is implemented in the open-source NS-3 network simulator, and Kalman filter is used to improve LoRa positioning accuracy. The simulation results show that the improved LoRaWAN module can well support the implementation of LoRa positioning in various scenarios, and Kalman filter can significantly improve the positioning accuracy. In addition, the fluctuation of positioning error after filtering is greatly reduced. By improving the LoRaWAN module, it not only realizes the positioning simulation of fixed node scenario, moving node scenario and different number of gateways scenario, but also provides a platform for the follow-up research of LoRa positioning. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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8. Improved Understanding of the Alteration of Molecular Compositions by Severe to Extreme Biodegradation: A Case Study from the Carboniferous Oils in the Eastern Chepaizi Uplift, Junggar Basin, Northwest China.
- Author
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Chang, Xiangchun, Zhao, Honggang, He, Wenxiang, Xu, Yaohui, Xu, Youde, and Wang, Yue
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- 2018
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9. Improved Understanding of the Alteration of Molecular Compositions by Severe to Extreme Biodegradation: A Case Study from the Carboniferous Oils in the Eastern Chepaizi Uplift, Junggar Basin, Northwest China
- Author
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Chang, Xiangchun, Zhao, Honggang, He, Wenxiang, Xu, Yaohui, Xu, Youde, and Wang, Yue
- Abstract
Biodegraded oils have been widely discovered throughout the world, whereas the alteration of the molecular composition of oils at extreme levels (>PM8) has been insufficiently documented. A suite of crude oils from Carboniferous volcanic reservoirs in the eastern Chepaizi Uplift, Junggar Basin, experienced severe to extreme biodegradation (from PM6+ to PM9+), which provided an ideal case for the present study. This investigation showed that the variations in molecular composition were not strictly consistent with their stepwise fashion in established schemes. The idea that 25-norhopanes are derived from hopanes was confirmed by the sharp decreases in the C29hopane/gammacerane (C29H/G) and C30hopane/gammacerane (C30H/G) values at the level of extreme biodegradation, which were associated with the increases in their counterparts of C2825-norhopane/gammacerane (C2825-NH/G) and C2925-norhopane/gammacerane (C2925-NH/G). 25-Norhopanes were also biodegraded at an extreme level, with C2925-NH being more susceptible than C2825-NH. The preferential biodegradation of individual homohopanes by carbon number occurred at an extreme level, whereas C29H featured more bioresistance than C30H and shared a similar susceptibility to biodegradation as 18α-30-norneohopane (C29Ts). The formation of 22Risomers for 25-norhopanes seemed to be favored over that of 22Sisomers, although the 22Sisomer was degraded faster that the 22Repimer for the C31, C32, and C33homohopanes. However, the constant values of 22S/(22S+ 22R) for the C34homohopane implied no preferential biodegradation of 22Sor 22Risomers for this extended hopane. Lower molecular weight tricyclic terpanes (TTs) were preferentially removed at extreme biodegradation levels, and the late eluting stereoisomers were degraded faster than the early eluting stereoisomers for C26TT, C28TT, and C29TT. C24tetracyclic terpane (C24Tet) is much more resistant to biodegradation than TTs. Pregnanes have a similar susceptibility to biodegradation as gammacerane, but they are more resistant than C23TT. The biodegradation of regular steranes was characterized by their faster depletion than diasteranes and the preferential depletion of C27regular sterane to the C29homologue and the 20Risomers to the 20Sisomers. At the extreme level, even C20and C21triaromatic steroids (TAS) were distinctively reduced, coexisting with the relatively highly degraded steranes and terpanes, although water washing can also be responsible for the decreases in (C20+ C21)-TAS/C26–28-TAS values.
- Published
- 2018
- Full Text
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10. Modeling of true triaxial strength of rocks based on optimized genetic programming.
- Author
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Yu, Beichen, Zhang, Dongming, Xu, Bin, Liu, Yubing, Zhao, Honggang, and Wang, Chongyang
- Subjects
MULTIPLE regression analysis ,STRENGTH training ,SOFT computing ,ROCK mechanics ,REGRESSION analysis ,PREDICTION models ,GENETIC programming - Abstract
The strength of a rock is the main factor affecting the stability of an engineered rock mass. As laboratory testing requires sophisticated equipment and considerable time to determine rock strength, prediction models are needed for establishing rock strength criteria. Genetic programming (GP) is a soft computing technology often used to address rock mechanics and engineering challenges. However, GP also has limitations, such as a long running time, complex individual growth without a corresponding fitness improvement, and difficulty in finding the optimal solution. Therefore, we conducted this study by applying a dynamic restriction on individual size, local search of the neighborhood of the optimal individual, and multithreaded evaluation to optimize GP and guarantee the accuracy of the results and to build a prediction model for the true triaxial strength involving different rock types. The results showed that the restriction dynamically changes to restrict the redundant bloat of strength individuals without a corresponding fitness improvement; using local search rules can effectively find individuals with high fitness, so the strength predicted by the system was in good agreement with the measured strength. We also found the predicted strength was suitable for fitting the rock strength criteria. Using this multithreaded evaluation sped up the operation of the algorithm and produced accurate predictions; and for complex problems, increasing the threads had a more pronounced effect on the runtime and fitness improvements. Based on the Sobol global sensitivity analysis, we analyzed the influence of each prediction parameter on the true triaxial strength of rocks. Combined with the statistical assessment indices involving sum of the absolute error, mean, a 10- index , and regression determination coefficient, the predictions of the optimized GP model that we established in this study were more accurate than those of multiple regression analysis. • GP is improved by local search, dynamic restriction, and multithreaded evaluation. • True triaxial strength model of rocks is constructed by the optimized GP. • Local search effectively finds individual with high fitness and accurate prediction. • Multithreaded show a pronounced effect on the runtime and fitness improvements. • The optimized GP model is more accurate than multiple regression model. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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11. Hepatic transcriptomic and metabolic responses of hybrid striped bass (Morone saxatilis × Morone chrysops) to acute and chronic hypoxic insult.
- Author
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Beck, Benjamin H., Fuller, S. Adam, Li, Chao, Green, Bartholomew W., Zhao, Honggang, Rawles, Steven D., Webster, Carl D., and Peatman, Eric
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STRIPED bass ,HYBRID bass ,BASSES (Fish) ,HYPOXEMIA ,PHENOTYPES - Abstract
Striped bass ( Morone saxatilis ), white bass ( Morone chrysops ), and their hybrid are an important group of fish prized for recreational angling in the United States, and there and abroad as a high-value farmed fish. Regardless of habitat, it is not uncommon for fish of the genus Morone to encounter and cope with conditions of scarce oxygen availability. Previously, we determined that hybrid striped bass reared under conditions of chronic hypoxia exhibited reduced feed intake, lower lipid and nutrient retention, and poor growth. To better understand the molecular mechanisms governing these phenotypes, in the present study, we examined the transcriptomic profiles of hepatic tissue in hybrid striped bass exposed to chronic hypoxia (90 days at 25% oxygen saturation) and acute hypoxia (6 h at 25% oxygen saturation). Using high-throughput RNA-seq, we found that over 1400 genes were differentially expressed under disparate oxygen conditions, with the vast majority of transcriptional changes occurring in the acute hypoxia treatment. Gene pathway and bioenergetics analyses revealed hypoxia-mediated perturbation of genes and gene networks related to lipid metabolism, cell death, and changes in hepatic mitochondrial content and cellular respiration. This study offers a more comprehensive view of the temporal and tissue-specific transcriptional changes that occur during hypoxia, and reveals new and shared mechanisms of hypoxia tolerance in teleosts. [ABSTRACT FROM AUTHOR]
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- 2016
- Full Text
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12. A Green Approach to the Synthesis of Reduced Graphene Oxide using Sodium Humate
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Xiang, Ning, Huang, Jiguo, Zhao, Honggang, Liu, Chengjia, and Liu, Xingjuan
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A green and simple chemistry approach was demonstrated to prepare reduced graphene oxide (rGO) using sodium humate (SH) as the reducing agent. Without using toxic and harmful chemicals, this method is environmentally friendly and suitable for the large-scale production of graphene. At first, the improved Hummers method to oxidize graphite for the synthesis of graphene oxide (GO) was applied, and then the as-prepared GO was reduced by SH to form rGO. Characterization was performed using Fourier transform infrared spectroscopy (FT-IR), X-ray diffraction (XRD), scanning electron microscope (SEM), energy dispersive X-ray spectroscopy (EDX), X-ray photoelectron spectrometry (XPS) and Raman spectra. The intensity ratio of the D and G band (ID/IG) of GO after reduction with SH increases from 0.96 (GO) to 1.11 (rGO), the results obtained from the Raman spectra proved high purity of the final products.
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- 2016
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13. Dose‐Related Influence of Chronic Alcohol Consumption on Cerebral Ischemia/Reperfusion Injury
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Zhao, Honggang, Mayhan, William G., Arrick, Denise M., Xiong, Wanfen, and Sun, Hong
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Background: We examined the dose‐related influence of alcohol consumption on cerebral ischemia/reperfusion (I/R) injury and the potential mechanism that accounts for the disparate effects of high‐dose and low‐dose alcohol consumption on cerebral I/R injury.
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- 2011
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14. Alcohol‐Induced Exacerbation of Ischemic Brain Injury: Role of NAD(P)H Oxidase
- Author
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Zhao, Honggang, Mayhan, William G., Arrick, Denise M., Xiong, Wanfen, and Sun, Hong
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Background: Chronic alcohol consumption increases ischemic stroke and exacerbates ischemic brain injury. We determined the role of NAD(P)H oxidase in exacerbated ischemic brain injury during chronic alcohol consumption.
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- 2010
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15. Solution Behavior of Perfluoroalkanes and Perfluoroalkylalkane Surfactants in n-Octane
- Author
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Morgado, Pedro, Tomás, Rogério, Zhao, Honggang, Carolina dos Ramos, M., J. Blas, Felipe, McCabe, Clare, and J. M. Filipe, Eduardo
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Apparent molal volumes of a number of n-perfluoroalkanes (PA) and perfluoroalkylalkanes (PFAA) in n-octane have been measured at 298.15 K as a function of composition. The corresponding partial molal volumes at infinite dilution have been obtained by extrapolating the apparent molal volumes to zero composition. The results were interpreted using the hetero-SAFT-VR equation of state. The perfluoroalkylalkanes were modeled as heterosegmented diblock chains, and the cross interactions, both intra- and intermolecular, were characterized using parameters developed in earlier studies of alkane perfluoroalkane mixtures. Through this strategy, a fully predictive approach has been developed that is able to accurately predict the volumetric behavior of the solutions of perfluoroalkylalkanes studied, without fitting to any experimental data for perfluoroalkylalkanes.
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- 2007
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16. Elevation of NMDAR after transplantation of neural stem cells
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Zhang, Huanqing, Lu, Aili, Zhao, Honggang, Li, Ke, Song, Shujuan, Yan, Jie, Zhang, Weiwei, Wang, Shuling, and Li, Linsong
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Cognitive deficits could be alleviated by transplantation of neural stem cells in animals. Grafted cells may differentiate into neurons, thereby improving animal cognition. Alternatively, grafted cells may provide neurotrophic factors to modify neuronal functions and to alleviate cognitive deficits. To test which mechanism is underlying this recovery process, senescence-accelerated mice were transplanted with human neural stem cells into the hippocampus. The effect of cell transplantation was assessed in the Morris water maze. The survival and differentiation of grafted cells and the expression of NMDA receptors were examined. The data suggested that in addition to the neural differentiation of grafted neural stem cells, up-regulation of NMDA receptors after transplantation also contributed to the alleviation of cognitive deficits in this animal model.
- Published
- 2004
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17. Modeling study of sandstone permeability under true triaxial stress based on backpropagation neural network, genetic programming, and multiple regression analysis.
- Author
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Yu, Beichen, Zhao, Honggang, Tian, Jiabao, Liu, Chao, Song, Zhenlong, Liu, Yubing, and Li, Minghui
- Subjects
GENETIC programming ,PERMEABILITY ,SANDSTONE ,STRESS-strain curves ,MULTIPLE regression analysis ,GAS reservoirs ,REGRESSION analysis - Abstract
Permeability evolution of sandstone is of great significance in the development of tight sandstone gas reservoirs. Traditional laboratory tests have the disadvantages of high cost and long testing time. Therefore, the present study employed use artificial intelligence systems, i.e., backpropagation neural network (BPNN), genetic programming (GP), and multiple regression analysis to construct prediction models of sandstone permeability based on the coupling effect of true triaxial stress field and pore pressure. The results showed that the permeability prediction obtained from the systems fit well with the experimental data, and evidenced that permeability increased with pore pressure and decreased with increase in principal stress. Sensitivity analysis showed that the pore pressure has the greatest influence on sandstone permeability under different true triaxial stress. The effect of anisotropic principal stress on permeability exhibited σ 1 > σ 2 > σ 3 under fixed pore pressure. Further assessment based on a combination of five evaluation indexes showed that the prediction accuracy of the BPNN model was better. • The permeability prediction models are built by BPNN, GP, and regression analysis. • The permeability prediction data fit well with the experimental data. • The pore pressure has the greatest influence on sandstone permeability. • Under true triaxial stress, the influence on permeability follows σ 1 > σ 2 > σ 3. • The BPNN model is more accurate than the GP and multiple regression models. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
18. Mechanical response of permeability evolution to anisotropic structure of reservoir rock under true triaxial stress path
- Author
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Liu, Chao, Song, Zhenlong, Zhang, Dongming, and Zhao, Honggang
- Abstract
Abstract: In unconventional natural gas development, the true triaxial stress field and anisotropic structure plane play an important role in the deformation and permeability evolution of reservoir rocks. In this research, the true triaxial experiments of sandstone, shale and coal with their own unique structural characteristics under the identical mean principal stress (p) and generalized shear stress (q) are performed. The results show that the volumetric strain of sandstone is not affected by the stress path within the elastic range. However, that of shale is closely related to the deformation of shale bedding. The stress path of shale has a significant impact on its deformation behavior and permeability evolution. Interestingly, the sandstone permeability is strongly dependent on the shear behavior under fixed pand q, i.e., it increases with the increasing generalized shear strain. The frictional sliding between sandstone particles induced by shear effect plays an important role in promoting the permeability. For shales, the stress normal to bedding planes plays an important role in permeability evolution, which is stronger than the frictional sliding effect between shale particles. The permeability of coal evolves between sandstones and shales, which is related to its unique cleat system. To avoid neglecting the important factors affecting permeability evolution in unconventional natural gas extraction, the permeability model should be selected according to the structural characteristics of reservoir rocks. Article highlights:
Frictional sliding between particles determines the sandstone permeability.
Stress normal to bedding planes plays an important role in shale permeability.
The permeability of coal is related to its unique cleat system.
- Published
- 2021
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19. Experimental study on the anisotropy of the effective stress coefficient of sandstone under true triaxial stress.
- Author
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Yu, Beichen, Liu, Chao, Zhang, Dongming, Zhao, Honggang, Li, Minghui, Liu, Yubing, Yu, Guo, and Li, Haitao
- Subjects
ANISOTROPY ,SANDSTONE ,PORE fluids ,PERMEABILITY ,CLAY minerals ,SEEPAGE - Abstract
The effective stress principle plays an important role in the study of the permeability evolution and mechanical behavior of coal and rocks. A key to evaluating the effective stress is determining the evolution of the effective stress coefficient α. However, conventional triaxial stress-path tests are not suitable for reproducing the actual stress state of coal and rocks and thus determining the effective stress coefficient. Therefore, this study was conducted to investigate the anisotropic characteristics of the effective stress coefficient for sandstone under different true triaxial stress and pore pressure conditions. The results show that the effective stress coefficient exhibits anisotropy due to the different principal strains in three directions and the anisotropy of pore structure, and it is closely linked with the pore pressure and principal stress. An increase in pore pressure causes sandstone particles that block the seepage channel to migrate, which reduces the sensitivity of permeability to principal stress, increasing the effective stress coefficient. When principal stress increases, pores and fractures are compressed, which reduces the sensitivity of permeability to pore pressure, resulting in a decrease in α. However, as principal stress continues to increase, effective stress coefficients can increase in the directions of major and intermediate principal stresses, while an α 3 beyond unity appears in the direction of minor principal stress. This is related to the pore fluid flowing through highly compressible clay aggregates, in which the pore area is large, and the sensitivity of permeability to pore pressure is enhanced. The effective stress coefficient increases with an increase in permeability due to the effect of porosity. A new formula for calculating the volumetric strain of a linear elastic isotropic porous medium is established based on the anisotropy of the effective stress coefficient, which can be applied to experimental results. • Effective stress coefficient α exhibits anisotropy under true triaxial stress. • α increases with an increase in pore pressure. • α decreases first and then increases as the principal stress increases. • Clay minerals between quartz grains can increase α , even beyond unity. • As the permeability increases, α also increases due to the effect of porosity. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
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20. Physiology and immunology of mucosal barriers in catfish (Ictalurus spp.)
- Author
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Peatman, Eric, Lange, Miles, Zhao, Honggang, and Beck, Benjamin H
- Abstract
The mucosal barriers of catfish (Ictalurus spp) constitute the first line of defense against pathogen invasion while simultaneously carrying out a diverse array of other critical physiological processes, including nutrient adsorption, osmoregulation, waste excretion, and environmental sensing. Catfish depend more heavily on mucosal barriers than their terrestrial counterparts as they are continuously interacting with the aquatic microbiota. Our understanding of these barriers, while growing, is still limited relative to that of mammalian model systems. Nevertheless, a combination of molecular and cellular studies in catfish over the last few decades, and particularly within the last few years, has helped to elucidate many of the primary actors and pathways critical to their mucosal health. Here we describe aspects of innate and adaptive immune responses in the primary mucosal tissues (skin, gill, and intestine) of catfish, focusing on mucus-driven responses, pathogen recognition, soluble mediators, and immunoglobulin and T-cell derived immunity. Modulation of mucosal barriers will be critical moving forward for crafting better diets, improving vaccine delivery, enhancing water quality, and ensuring sustainable production practices in catfish.
- Published
- 2015
- Full Text
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