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| 1 | Effect of Saccharomyces cerevisiae on alfalfa nutrient degradation characteristics and rumen microbial populations of steers fed diets with different concentrate-to-forage ratios显示文摘Live yeast(Saccharomyces cerevisiae) constitutes an effective additive for animal production;its probiotic effect may be related to the concentrate-to-forage ratio(CTFR).The objective of this study was to assess the effects of S.cerevisiae(SC) on fiber degradation and rumen microbial populations in steers fed diets with different levels of dietary concentrate.Ten Simmental × Local crossbred steers(450 ± 50 kg BW) were assigned to a control group or an SC group.Both groups were fed the same basal diet but the SC group received SC supplementation(8 × 10~9 cfu/h/d through the ruminal fistula)following a two-period crossover design.Each period consisted of four phases,each of which lasted 17 d:10 d for dietary adaptation,6 d for degradation study,and 1 d for rumen sample collection.From the 1^(st) to the 4^(th) phase,steers were fed in a stepwise fashion with increasing CTFRs,i.e.,30:70,50:50,70:30,and 90:10.The kinetics of dry matter and fiber degradation of alfalfa pellets were evaluated;the rumen microbial populations were detected using real-time PCR.The results revealed no significant(P> 0.05) interactions between dietary CTFR and SC for most parameters.Dietary CTFR had a significant effect(P< 0.01) on degradation characteristics of alfalfa pellets and the copies of rumen microorganism;the increasing concentrate level resulted in linear,quadratic or cubic variation trend for these parameters.SC supplementation significantly(P< 0.05) affected dry matter(DM) and neutral detergent fiber(NDF)degradation rates(c_(DM),c_(NDF)) and NDF effective degradability(ED_(NDF)).Compared with the control group,there was an increasing trend of rumen fungi and protozoa in SC group(P < 0.1);copies of total bacteria in SC group were significantly higher(P< 0.05).Additionally,percentage of Ruminobacter amylophilus was significantly lower(P< 0.05)but percentage of Selenomonas ruminantium was significantly higher(P< 0.05) in the SC group.In a word,dietary CTFR had a significant effect on degradation characteristics of forage and rumen microbial population.S.cerevisiae had positive effects on DM and NDF degradation rate or effective degradability of forage;S.cerevisiae increased rumen total bacteria,fungi,protozoa,and lactate-utilizing bacteria but reduced starch-degrading and lactate-producing bacteria. | Gengzhi Ding Ying Chang Liping Zhao Zhenming Zhou Liping Ren Qingxiang Meng | 2014 | Journal of Animal Science and Biotechnology2014，5，4： | 15 |
| 2 | Fracture of two three-dimensional parallel internal cracks in brittle solid under ultrasonic fracturing显示文摘Similar to hydraulic fracturing(HF), the coalescence and fracture of cracks are induced within a rock under the action of an ultrasonic field, known as ultrasonic fracturing(UF). Investigating UF is important in both hard rock drilling and oil and gas recovery. A three-dimensional internal laser-engraved crack(3D-ILC) method was introduced to prefabricate two parallel internal cracks within the samples without any damage to the surface. The samples were subjected to UF. The mechanism of UF was elucidated by analyzing the characteristics of fracture surfaces. The crack propagation path under different ultrasonic parameters was obtained by numerical simulation based on the Paris fatigue model and compared to the experimental results of UF. The results show that the 3D-ILC method is a powerful tool for UF research.Under the action of an ultrasonic field, the fracture surface shows the characteristics of beach marks and contains powder locally, indicating that the UF mechanism includes high-cycle fatigue fracture, shear and friction, and temperature load. The two internal cracks become close under UF. The numerical result obtained by the Paris fatigue model also shows the attraction of the two cracks, consistent with the test results. The 3D-ILC method provides a new tool for the experimental study of UF. Compared to the conventional numerical methods based on the analysis of stress-strain and plastic zone, numerical simulation can be a good alternative method to obtain the crack path under UF. | Haijun Wang Hanzhang Li Lei Tang Xuhua Ren Qingxiang Meng Chun Zhu | 2022 | Journal of Rock Mechanics and Geotechnical Engineering2022，14，3： | 4 |
| 3 | APHIDSim: A population dynamics model for wheat aphids based on swallowtail catastrophe theory显示文摘 | M.K.D.K. Piyaratne Huiyan Zhao Qingxiang Meng | 2013 | Ecological Modelling2013，，： | 1 |
| 4 | Nanopolyphenol rejuvenates microglial surveillance of multiple misfolded proteins through metabolic reprogramming显示文摘Microglial surveillance plays an essential role in clearing misfolded proteins such as amyloid-beta,tau,andα-synuclein aggregates in neurodegenerative diseases.However,due to the complex structure and ambiguous pathogenic species of the misfolded proteins,a universal approach to remove the misfolded proteins remains unavailable.Here,we found that a polyphenol,α-mangostin,reprogrammed metabolism in the disease-associated microglia through shifting glycolysis to oxidative phosphorylation,which holistically rejuvenated microglial surveillance capacity to enhance microglial phagocytosis and autophagy-mediated degradation of multiple misfolded proteins.Nanoformulation ofα-mangostin efficiently deliveredα-mangostin to microglia,relieved the reactive status and rejuvenated the misfolded-proteins clearance capacity of microglia,which thus impressively relieved the neuropathological changes in both Alzheimer’s disease and Parkinson’s disease model mice.These findings provide direct evidences for the concept of rejuvenating microglial surveillance of multiple misfolded proteins through metabolic reprogramming,and demonstrate nanoformulatedα-mangostin as a potential and universal therapy against neurodegenerative diseases. | Dayuan Wang Xiao Gu Xinyi Ma Jun Chen Qizhi Zhang Zhihua Yu Juan Li Meng Hu Xiaofang Tan Yuyun Tang Jianrong Xu Minjun Xu Qingxiang Song Huahua Song Gan Jiang Zaiming Tang Xiaoling Gao Hongzhuan Chen | 2023 | Acta Pharmaceutica Sinica B2023，13，2： | 1 |
| 5 | A population dynamics model for wheat aphids based on swallowtail catastrophe theory显示文摘 | Piyaratne M K D K Zhao Huiyan Meng Qingxiang | 2013 | Ecological Modeling2013，，253： | 1 |
| 6 | A Novel Hybrid Intelligent Prediction Model for Valley Deformation: A Case Study in Xiluodu Reservoir Region, China显示文摘The narrowing deformation of reservoir valley during the initial operation period threatens the long-term safety of the dam,and an accurate prediction of valley deformation(VD)remains a challenging part of risk mitigation.In order to enhance the accuracy of VD prediction,a novel hybrid model combining Ensemble empirical mode decomposition based interval threshold denoising(EEMD-ITD),Differential evolutions—Shuffled frog leaping algorithm(DE-SFLA)and Least squares support vector machine(LSSVM)is proposed.The non-stationary VD series is firstly decomposed into several stationary subseries by EEMD;then,ITD is applied for redundant information denoising on special sub-series,and the denoised deformation is divided into the trend and periodic deformation components.Meanwhile,several relevant triggering factors affecting the VD are considered,from which the input features are extracted by Grey relational analysis(GRA).After that,DE-SFLA-LSSVM is separately performed to predict the trend and periodic deformation with the optimal inputs.Ultimately,the two individual forecast components are reconstructed to obtain the final predicted values.Two VD series monitored in Xiluodu reservoir region are utilized to verify the proposed model.The results demonstrate that:(1)Compared with Discrete wavelet transform(DWT),better denoising performance can be achieved by EEMD-ITD;(2)Using GRA to screen the optimal input features can effectively quantify the deformation response relationship to the triggering factors,and reduce the model complexity;(3)The proposed hybrid model in this study displays superior performance on some compared models(e.g.,LSSVM,Backward Propagation neural network(BPNN),and DE-SFLA-BPNN)in terms of forecast accuracy. | Mengcheng Sun Weiya Xu Huanling Wang Qingxiang Meng Long Yan Wei-Chau Xie | 2021 | Computers, Materials & Continua2021，，1： | 1 |
| 7 | A hybrid artificial bee colony algorithm and support vector machine for predicting blast-induced ground vibration显示文摘Because nearby construction has harmful effects,precisely predicting blast-induced ground vibration is critical.In this paper,a hybrid artificial bee colony(ABC)and support vector machine(SVM)model was proposed for predicting the value of peak particle velocity(PPV),which is used to describe blast-induced ground vibration.To construct the model,5 potentially relevant factors,including controllable and uncontrollable parameters,were considered as input parameters,and PPV was set as the output parameter.Forty-five samples were recorded from the Hongling lead-zinc mine.An ABC-SVM model was developed and trained on 35 samples via 5-fold cross-validation(CV).A testing set(10 samples)was used to evaluate the prediction performance of the ABC-SVM model.SVM and four empirical models(United States Bureau of Mines(USBM),Amraseys-Hendron(A-H),Langefors-Kihstrom(L-K),and Central Mining Research Institute(CMRI))also were introduced for comparison.Next,the performances of the models were analyzed by using 3 statistical parameters:the correlation coefficient(R2),root-mean-square error(RMSE),and variance accounted for(VAF).ABC-SVM had the highest R2 and VAF values followed by the SVM,A-H,USBM,CMRI,and L-K methods.The results demonstrated that ABC-SVM outperformed SVM and the empirical predictors for predicting PPV.Moreover,the best results from the R2,RMSE,and VAF indices were 0.9628,0.2737,and 96.05%for the ABC-SVM model.The sensitivities of the parameters also were investigated,and the height difference between the blast point and the monitoring station was found to be the parameter that had the most influence on PPV. | Zhu Chun Xu Yingze Wu Yongxin He Manchao Zhu Chuanqi Meng Qingxiang Lin Yun | 2022 | Earthquake Engineering and Engineering Vibration2022，21，4： | 1 |
| 8 | A quinoline based fluorescent probe that can distinguish zinc(II) from cadmium(II) in water显示文摘 | Yulei Cai Xiangming Meng Shuxin Wang Manzhou Zhu Zhongwen Pan QingXiang Guo | 2012 | Tetrahedron Letters2012，，： | 1 |
| 9 | Recent advances in surface endothelialization of the magnesium alloy stent materials显示文摘Magnesium and its alloy have good mechanical properties and biodegradability,and have become the hotspot of the next-generation biodegradable vascular stent materials.However,their rapid degradation in vivo and poor biocompatibility are still the bottlenecks of clinical applications for the cardiovascular stents.In particular,how to induce the repair and regeneration of the vascular endothelial with normal physiological functions on the surface of the magnesium alloy stent materials represents the key to its clinical application in the field of cardiovascular stents.It has been believed that it is an ideal way to completely solve the postoperative complications through constructing the multifunctional anti-corrosive bioactive coating on the magnesium alloy surface to induce the formation of vascular endothelium with normal physiological functions.However,how to construct a corrosion-resistant multifunctional bioactive coating with the good endothelial regeneration abilities on the magnesium alloy surface still faces a great challenge.This paper mainly focused on highlighting and summarizing the recent advances in the surface endothelialization of the magnesium alloy materials for the vascular stent,including the bio-inert coating,in-situ immobilization of bioactive molecules on the surface,polymer coating loaded with bioactive factors,novel multifunctional polymer coating,bioactive micropatterns,bioactive layer with glycocalyx-like structure,NO-releasing coating and bioactive sol-gel coating.The advantages and disadvantages of these strategies were discussed and analyzed.Finally,in the senses of future development and clinical application,this paper analyzed and summarized the development direction and prospect of surface endothelialization of the magnesium alloy vascular stents.It is anticipated that this review can give the new cues to the surface endothelialization of the cardiovascular magnesium alloy stents and promote future advancements in this field. | Changjiang Pan Xuhui Liu Qingxiang Hong Jie Chen Yuxin Cheng Qiuyang Zhang Lingjie Meng Juan Dai Zhongmei Yang Lingren Wang | 2023 | Journal of Magnesium and Alloys2023，11，1： | 1 |
| 10 | Qinghai-tibetan plateau peatland sustainable utilization under anthropogenic disturbances and climate change显示文摘Often referred to as the“Third Pole,”China’s Qinghai-Tibetan Plateau developed large amounts of peatland owing to its unique alpine environment.As a renewable resource,peat helps to regulate the climate as well as performing other important functions.However,in recent years,intensifying climate change and anthropogenic disturbances have resulted in peatland degradation and consequently made sustainable development of peatland more difficult.This review summarizes peatland ecological and economic functions,including carbon sequestration,biodiversity conservation,energy supplies,and ecotourism.It identifies climate change and anthropogenic disturbances as the two key factors attributing to peatland degradation and ecosystem carbon loss.Current problems in environmental degradation and future challenges in peatland management under the effects of global warming are also discussed and highlighted. | Gang Yang Changhui Peng Huai Chen Faqin Dong Ning Wu Yanzheng Yang Yao Zhang Dan Zhu Yixin He Shengwei Shi Xiaoyang Zeng Tingting Xi Qingxiang Meng Qiuan Zhu | 2017 | Ecosystem Health and Sustainability2017，3，3： | 1 |
| 11 | The shape effect of reconstituted high-density lipoprotein nanocarriers on brain delivery and Aβ clearance显示文摘 | Huahua Song Xinyi Ma Jianrong Xu Qingxiang Song Meng Hu Xiao Gu Qian Zhang Lina Hou Lepei Chen Yukun Huang Ping Yu Dayuan Wang Gan Jiang Meng Huang Jun Chen Hongzhuan Chen Xiaoling Gao | 2018 | Nano Research2018，11，10： | 1 |
| 12 | Toward Interoperable Multi‑hazard Modeling: A Disaster Management System for Disaster Model Service Chain显示文摘A natural hazard-related disaster event often causes a series of secondary disasters, forming a disaster chain. Modeling the evolution of disaster chains in multihazard scenarios is crucial for risk governance and urban resilience. However, existing multi-hazard models are limited by complex model design and fixed disaster types, making it impossible to ensure flexible reactions to complex and diverse scenarios. This study presents a disaster management system for disaster model service chain(DMSC) to implement interoperable multi-hazard modeling. To achieve efficient model interaction in the DMSC, a management module is designed to normalize heterogeneous single-hazard models based on disaster system theory and the Open Geospatial Consortium standards, enabling them to be accessible,reusable, and interoperable. The normalized models are then adaptively orchestrated through an orchestration module to establish optimal executable DMSCs for different multihazard scenarios. Taking an earthquake disaster chain as a case study, we demonstrate that the disaster management system shows stable and flexible performance for multihazard modeling. | Wenyu Jiang Fei Wang Xiaocui Zheng Xinxin Zheng Xiaohui Qiao Xin Li Qingxiang Meng | 2022 | International Journal of Disaster Risk Science2022，13，6： | 0 |
| 13 | RB-DEM Modeling and Simulation of Non-Persisting Rough Open Joints Based on the IFS-Enhanced Method显示文摘When the geological environment of rock masses is disturbed,numerous non-persisting open joints can appear within it.It is crucial to investigate the effect of open joints on the mechanical properties of rock mass.However,it has been challenging to generate realistic open joints in traditional experimental tests and numerical simulations.This paper presents a novel solution to solve the problem.By utilizing the stochastic distribution of joints and an enhanced-fractal interpolation system(IFS)method,rough curves with any orientation can be generated.The Douglas-Peucker algorithm is then applied to simplify these curves by removing unnecessary points while preserving their fundamental shape.Subsequently,open joints are created by connecting points that move to both sides of rough curves based on the aperture distribution.Mesh modeling is performed to construct the final mesh model.Finally,the RB-DEM method is applied to transform the mesh model into a discrete element model containing geometric information about these open joints.Furthermore,this study explores the impacts of rough open joint orientation,aperture,and number on rock fracture mechanics.This method provides a realistic and effective approach for modeling and simulating these non-persisting open joints. | Hangtian Song Xudong Chen Chun Zhu Qian Yin Wei Wang Qingxiang Meng | 2024 | Computer Modeling in Engineering & Sciences2024，139，4： | 0 |
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