Biomass-to-ethylene glycol is an effective means to achieve high-value utilisation of cellulose but is hindered by low conversion efficiency and poor catalyst activity and stability.Glucose and cellobiose are derivati...Biomass-to-ethylene glycol is an effective means to achieve high-value utilisation of cellulose but is hindered by low conversion efficiency and poor catalyst activity and stability.Glucose and cellobiose are derivatives of cellulose conversion to ethylene glycol,and it is found that studying the reaction process of both can help to understand the reaction mechanism of cellulose.It is desirable to develop a reusable,highly active catalyst to convert cellulose into ethylene glycol.This ideal catalyst might have one or more active sites described the conversion steps above.Here,we discuss the catalyst development of celluloseto-ethylene glycol,including tungsten,tin,lanthanide,and other transition metal catalysts,and special attention is given to the reaction mechanism and kinetics for preparing ethylene glycol from cellulose,and the economic advantages of biomass-to-ethylene glycol are briefly introduced.The insights given in this review will facilitate further development of efficient catalysts,for addressing the global energy crisis and climate change related to the use of fossil fuels.展开更多
Pyro-breaker is a fast-responding and high-reliable explosive-driven circuit breaker,which has been applied in several quench protection systems,such as International Thermonuclear Experimental Reactor and Experimenta...Pyro-breaker is a fast-responding and high-reliable explosive-driven circuit breaker,which has been applied in several quench protection systems,such as International Thermonuclear Experimental Reactor and Experimental Advanced Superconducting Tokamak.As an indispensable back-up switch,Pyro-breaker guarantees the reliability and safety of the system and avoids tremendous loss when quench happens.Electrical contact,a crucial part of an electrical device greatly determines the steady current capacity of a Pyro-breaker.However,due to the complexity of the model and the deficiency knowledge of the microstate of contact areas,an accurate calculation for contact resistance is difficult to acquire.A study of electrical contact in the design of a Pyro-breaker has been presented in this paper.An engineering calculation method is verified with experiments.Parameters are fitted for the presented model,which will be a significant theoretical basis for the future designing.展开更多
BACKGROUND The prognosis of gastric cancer is extremely poor.Metabolic reprogramming involving lipids has been associated with cancer occurrence and progression.AIM To illustrate fatty acid metabolic mechanisms in gas...BACKGROUND The prognosis of gastric cancer is extremely poor.Metabolic reprogramming involving lipids has been associated with cancer occurrence and progression.AIM To illustrate fatty acid metabolic mechanisms in gastric cancer,detect core genes,develop a prognostic model,and provide treatment options.METHODS Raw data from The Cancer Genome Atlas and Gene Expression Omnibus databases were collected and analyzed.Differentially expressed fatty acid metabolism genes were identified and incorporated into a risk model based on least absolute shrinkage and selection operator regression analysis.Then,patients from The Cancer Genome Atlas were assigned to high-and low-risk cohorts according to the mean value of the risk score as the threshold,which was verified in the Gene Expression Omnibus database.Relationships between chemotherapeutic sensitivity and tumor microenvironment features were assessed.RESULTS An integrated evaluation was performed in this study.Fatty acid metabolismrelated genes were used to construct the risk model.Patients classified into the high-risk cohort were considered to be resistant to chemotherapy based on results of the“pRRophetic”R package.Patients in the high-risk cohort were associated with type Ⅰ/Ⅱ interferon activation,increased inflammation level,immune cell infiltration,and tumor immune dysfunction based on the exclusion algorithm,indicating the potential benefit of immunotherapy in these patients.CONCLUSION We constructed a fatty acid-related risk score model to assess the comprehensive fatty acid features in gastric cancer and validated its vital role in prognosis,chemotherapy sensitivity,and immunotherapy.展开更多
The Sulige gas field is a typical low-pressure low-permeability tight sandstone gas reservoir. The reservoir has poor seepage capacity, strong heterogeneity, high mineralization of formation water and extremely scarce...The Sulige gas field is a typical low-pressure low-permeability tight sandstone gas reservoir. The reservoir has poor seepage capacity, strong heterogeneity, high mineralization of formation water and extremely scarce water resources on the site. These unfavorable factors have brought great difficulties to the on-site mining process. Now, a nano-composite green environmental protection slick water fracturing fluid system CQFR can be quickly dissolved because of the larger specific surface area, and the small molecular size makes the damage to the reservoir less than 5%, and the average drag reduction effect can reach more than 73%. It can quickly and well dissolve and maintain performance under high salinity conditions and fracturing flowback fluids. It responds well to the complex reservoir conditions on the construction site and makes the flowback fluid recyable, which greatly reduces the consumption of water resources on the construction site and effectively improves the construction efficiency and economic benefits.展开更多
This study is aimed to classify degrees of diaphragma sellae (DS) descent into sella turcica according to the surgical field block caused by the descent and to construct predictive imaging criteria for the degree of d...This study is aimed to classify degrees of diaphragma sellae (DS) descent into sella turcica according to the surgical field block caused by the descent and to construct predictive imaging criteria for the degree of descent,and in addition,to determine whether there is any correlation between the degree of DS descent and the operative outcome (in the form of cerebrospinal fluid leak and/or presence of residual tumor).Totally,72 patients were enrolled in our study.Their clinical and radiological data as well as the high definition videos of operations were retrospectively reviewed.The degree of DS descent during the operation was classified into five degrees according to surgical field block caused by the descent.We investigated the correlation between these five degrees and the clinical findings,radiological findings as well as the surgical outcomes.We found that the most important determining factors of DS descent degree were the volume and the height of the tumor portion above diaphragma opening.On the other hand,the total tumor volume,the maximum tumor height and the morphological pattern according to Wilson's system (modified from Hardy) had no statistically significant correlation with DS degree of descent.Presence of residual tumor on postoperative magnetic resonance images was significantly correlated with Wilson's classification and with supradiaphragmatic tumor height.On the other hand,cerebrospinal fluid leak showed no statistically significant difference between variable degrees of DS descent.Volumetric data of the tumor portion above the diaphragma opening are more important than morphological data for prediction of surgical field block caused by descended DS.While DS prolapse significantly increases the difficulty of the operative procedure,residual tumor presence is mainly dependent on morphological classification,especially cavernous sinus invasion.展开更多
In order to test the superconducting magnet performance for the Comprehensive Research Facility for Fusion Technology(CRAFT)project of China,a power supply converter needs to be designed.In this paper,short circuits u...In order to test the superconducting magnet performance for the Comprehensive Research Facility for Fusion Technology(CRAFT)project of China,a power supply converter needs to be designed.In this paper,short circuits upstream and downstream of the direct current(DC)reactor are analyzed,and the thyristor style and the parallel number are determined by the limit analysis of junction temperature and fault current I^2t.On this basis,the over current and voltage verification of fast fuse are finished to protect the thyristor at fault cases by considering the short circuit of the bridge arm.Then,the resistor and capacitor parameters of thyristor snubber are committed to decreasing the reverse over voltage.These analysis results will be used as the preliminary design of high power magnet converter for CRAFT.展开更多
The multispectral remote sensing image(MS-RSI)is degraded existing multi-spectral camera due to various hardware limitations.In this paper,we propose a novel core tensor dictionary learning approach with the robust mo...The multispectral remote sensing image(MS-RSI)is degraded existing multi-spectral camera due to various hardware limitations.In this paper,we propose a novel core tensor dictionary learning approach with the robust modified Gaussian mixture model for MS-RSI restoration.First,the multispectral patch is modeled by three-order tensor and high-order singular value decomposition is applied to the tensor.Then the task of MS-RSI restoration is formulated as a minimum sparse core tensor estimation problem.To improve the accuracy of core tensor coding,the core tensor estimation based on the robust modified Gaussian mixture model is introduced into the proposed model by exploiting the sparse distribution prior in image.When applied to MS-RSI restoration,our experimental results have shown that the proposed algorithm can better reconstruct the sharpness of the image textures and can outperform several existing state-of-the-art multispectral image restoration methods in both subjective image quality and visual perception.展开更多
Massive Open Online Course(MOOC)has become a popular way of online learning used across the world by millions of people.Meanwhile,a vast amount of information has been collected from the MOOC learners and institutions...Massive Open Online Course(MOOC)has become a popular way of online learning used across the world by millions of people.Meanwhile,a vast amount of information has been collected from the MOOC learners and institutions.Based on the educational data,a lot of researches have been investigated for the prediction of the MOOC learner’s final grade.However,there are still two problems in this research field.The first problem is how to select the most proper features to improve the prediction accuracy,and the second problem is how to use or modify the data mining algorithms for a better analysis of the MOOC data.In order to solve these two problems,an improved random forests method is proposed in this paper.First,a hybrid indicator is defined to measure the importance of the features,and a rule is further established for the feature selection;then,a Clustering-Synthetic Minority Over-sampling Technique(SMOTE)is embedded into the traditional random forests algorithm to solve the class imbalance problem.In experiment part,we verify the performance of the proposed method by using the Canvas Network Person-Course(CNPC)dataset.Furthermore,four well-known prediction methods have been applied for comparison,where the superiority of our method has been proved.展开更多
Objective:To investigate the inhibition effect of siRNA interference on NGF induced by inflammatory factor IL-6,and JUL—1 so as to provide novel targets for clinical treatment of discogenic low back pain.Methods:The ...Objective:To investigate the inhibition effect of siRNA interference on NGF induced by inflammatory factor IL-6,and JUL—1 so as to provide novel targets for clinical treatment of discogenic low back pain.Methods:The intervertebral disc nucleus and annulus fibrosus cells of rats were separated-The cells were co-cultured with different concentrations(10 nmol/L,20nmol/L,50 nmol/L,100 nmol/L)of IL-6 and IL-1β.The NGF-siRNA was leaded into the cocultured cells with its import ability assessed by flow cytometry instrument tests,hefore and after which the NCF mRNA expression was detected by real-time Q-PCR and the NGF content was detected by ELISA.Results:Flow cytometry instrument test results showed that the NGFsiRNA cell conversion rate was 99.8%.Real-time Q-PCR detection results showed that compared with negative control group,the NGF mRNA expression of co-cultured cells treated by 10 nmol/L,20 nmol/L,50 nmol/L,100 nmol/L IL-6 and IL-1βwere respectively raised 3.4,3.7,4.7,3.7 times which were all significantly down-regulated after the import of NGF-siRNA.EILSA detection results showed that compared with negative control group,the NGF content of cocultured medium treated by 10 nmol/L,20 nmol/L,50 nmol/L,100 nmol/L I-L6 and IL-1βwere respectively raised 2.9,3.3,4.5,7.4 times which were all significantly decreased after the import of NGF-siRNA.Conclusions:These molecular biological results suggest that inflammatory factor IL-6 and IL-1βcould stimulate NCF on intervertebral disc cells in vitro culture model and its efficiency is concentration dependent,while siRNA interference can inhibit the stimulation effect of IL-6 and IL-1βon intervertebral disc cell,which provides a new targets for the clinical treatment of discogenic low back pain.展开更多
基金supported by the National Natural Science Foundation of China(51976112,52206264)special Project Fund of“Taishan Scholar”of Shandong Province(tsqn202103066)Natural Science Foundation of Shandong Province(ZR2022ME109)。
文摘Biomass-to-ethylene glycol is an effective means to achieve high-value utilisation of cellulose but is hindered by low conversion efficiency and poor catalyst activity and stability.Glucose and cellobiose are derivatives of cellulose conversion to ethylene glycol,and it is found that studying the reaction process of both can help to understand the reaction mechanism of cellulose.It is desirable to develop a reusable,highly active catalyst to convert cellulose into ethylene glycol.This ideal catalyst might have one or more active sites described the conversion steps above.Here,we discuss the catalyst development of celluloseto-ethylene glycol,including tungsten,tin,lanthanide,and other transition metal catalysts,and special attention is given to the reaction mechanism and kinetics for preparing ethylene glycol from cellulose,and the economic advantages of biomass-to-ethylene glycol are briefly introduced.The insights given in this review will facilitate further development of efficient catalysts,for addressing the global energy crisis and climate change related to the use of fossil fuels.
文摘Pyro-breaker is a fast-responding and high-reliable explosive-driven circuit breaker,which has been applied in several quench protection systems,such as International Thermonuclear Experimental Reactor and Experimental Advanced Superconducting Tokamak.As an indispensable back-up switch,Pyro-breaker guarantees the reliability and safety of the system and avoids tremendous loss when quench happens.Electrical contact,a crucial part of an electrical device greatly determines the steady current capacity of a Pyro-breaker.However,due to the complexity of the model and the deficiency knowledge of the microstate of contact areas,an accurate calculation for contact resistance is difficult to acquire.A study of electrical contact in the design of a Pyro-breaker has been presented in this paper.An engineering calculation method is verified with experiments.Parameters are fitted for the presented model,which will be a significant theoretical basis for the future designing.
文摘BACKGROUND The prognosis of gastric cancer is extremely poor.Metabolic reprogramming involving lipids has been associated with cancer occurrence and progression.AIM To illustrate fatty acid metabolic mechanisms in gastric cancer,detect core genes,develop a prognostic model,and provide treatment options.METHODS Raw data from The Cancer Genome Atlas and Gene Expression Omnibus databases were collected and analyzed.Differentially expressed fatty acid metabolism genes were identified and incorporated into a risk model based on least absolute shrinkage and selection operator regression analysis.Then,patients from The Cancer Genome Atlas were assigned to high-and low-risk cohorts according to the mean value of the risk score as the threshold,which was verified in the Gene Expression Omnibus database.Relationships between chemotherapeutic sensitivity and tumor microenvironment features were assessed.RESULTS An integrated evaluation was performed in this study.Fatty acid metabolismrelated genes were used to construct the risk model.Patients classified into the high-risk cohort were considered to be resistant to chemotherapy based on results of the“pRRophetic”R package.Patients in the high-risk cohort were associated with type Ⅰ/Ⅱ interferon activation,increased inflammation level,immune cell infiltration,and tumor immune dysfunction based on the exclusion algorithm,indicating the potential benefit of immunotherapy in these patients.CONCLUSION We constructed a fatty acid-related risk score model to assess the comprehensive fatty acid features in gastric cancer and validated its vital role in prognosis,chemotherapy sensitivity,and immunotherapy.
文摘The Sulige gas field is a typical low-pressure low-permeability tight sandstone gas reservoir. The reservoir has poor seepage capacity, strong heterogeneity, high mineralization of formation water and extremely scarce water resources on the site. These unfavorable factors have brought great difficulties to the on-site mining process. Now, a nano-composite green environmental protection slick water fracturing fluid system CQFR can be quickly dissolved because of the larger specific surface area, and the small molecular size makes the damage to the reservoir less than 5%, and the average drag reduction effect can reach more than 73%. It can quickly and well dissolve and maintain performance under high salinity conditions and fracturing flowback fluids. It responds well to the complex reservoir conditions on the construction site and makes the flowback fluid recyable, which greatly reduces the consumption of water resources on the construction site and effectively improves the construction efficiency and economic benefits.
文摘This study is aimed to classify degrees of diaphragma sellae (DS) descent into sella turcica according to the surgical field block caused by the descent and to construct predictive imaging criteria for the degree of descent,and in addition,to determine whether there is any correlation between the degree of DS descent and the operative outcome (in the form of cerebrospinal fluid leak and/or presence of residual tumor).Totally,72 patients were enrolled in our study.Their clinical and radiological data as well as the high definition videos of operations were retrospectively reviewed.The degree of DS descent during the operation was classified into five degrees according to surgical field block caused by the descent.We investigated the correlation between these five degrees and the clinical findings,radiological findings as well as the surgical outcomes.We found that the most important determining factors of DS descent degree were the volume and the height of the tumor portion above diaphragma opening.On the other hand,the total tumor volume,the maximum tumor height and the morphological pattern according to Wilson's system (modified from Hardy) had no statistically significant correlation with DS degree of descent.Presence of residual tumor on postoperative magnetic resonance images was significantly correlated with Wilson's classification and with supradiaphragmatic tumor height.On the other hand,cerebrospinal fluid leak showed no statistically significant difference between variable degrees of DS descent.Volumetric data of the tumor portion above the diaphragma opening are more important than morphological data for prediction of surgical field block caused by descended DS.While DS prolapse significantly increases the difficulty of the operative procedure,residual tumor presence is mainly dependent on morphological classification,especially cavernous sinus invasion.
基金supported by the National Key R&D Program of China(No.2017YFE0300504)Comprehensive Research Facility for Fusion Technology(No.2018-00005273-01-001228).
文摘In order to test the superconducting magnet performance for the Comprehensive Research Facility for Fusion Technology(CRAFT)project of China,a power supply converter needs to be designed.In this paper,short circuits upstream and downstream of the direct current(DC)reactor are analyzed,and the thyristor style and the parallel number are determined by the limit analysis of junction temperature and fault current I^2t.On this basis,the over current and voltage verification of fast fuse are finished to protect the thyristor at fault cases by considering the short circuit of the bridge arm.Then,the resistor and capacitor parameters of thyristor snubber are committed to decreasing the reverse over voltage.These analysis results will be used as the preliminary design of high power magnet converter for CRAFT.
基金This work was supported by the Project of Shandong Province Higher Educational Science and Technology Program[KJ2018BAN047,Geng,L.]National Natural Science Foundation of China[61801222,Fu,P.]+2 种基金Fundamental Research Funds for the Central Universities[30919011230,Fu,P.]Science and Technology Innovation Program for Distributed Young Talents of Shandong Province Higher Education Institutions[2019KJN045,Guo,Q.]Shandong Provincial Key Laboratory of Network Based Intelligent Computing[http://nbic.ujn.edu.cn/].
文摘The multispectral remote sensing image(MS-RSI)is degraded existing multi-spectral camera due to various hardware limitations.In this paper,we propose a novel core tensor dictionary learning approach with the robust modified Gaussian mixture model for MS-RSI restoration.First,the multispectral patch is modeled by three-order tensor and high-order singular value decomposition is applied to the tensor.Then the task of MS-RSI restoration is formulated as a minimum sparse core tensor estimation problem.To improve the accuracy of core tensor coding,the core tensor estimation based on the robust modified Gaussian mixture model is introduced into the proposed model by exploiting the sparse distribution prior in image.When applied to MS-RSI restoration,our experimental results have shown that the proposed algorithm can better reconstruct the sharpness of the image textures and can outperform several existing state-of-the-art multispectral image restoration methods in both subjective image quality and visual perception.
基金supported by the National Natural Science Foundation of China under Grant No.61801222in part supported by the Fundamental Research Funds for the Central Universities under Grant No.30919011230in part supported by the Jiangsu Provincial Department of Education Degree and Graduate Education Research Fund under Grant No.JGZD18_012.
文摘Massive Open Online Course(MOOC)has become a popular way of online learning used across the world by millions of people.Meanwhile,a vast amount of information has been collected from the MOOC learners and institutions.Based on the educational data,a lot of researches have been investigated for the prediction of the MOOC learner’s final grade.However,there are still two problems in this research field.The first problem is how to select the most proper features to improve the prediction accuracy,and the second problem is how to use or modify the data mining algorithms for a better analysis of the MOOC data.In order to solve these two problems,an improved random forests method is proposed in this paper.First,a hybrid indicator is defined to measure the importance of the features,and a rule is further established for the feature selection;then,a Clustering-Synthetic Minority Over-sampling Technique(SMOTE)is embedded into the traditional random forests algorithm to solve the class imbalance problem.In experiment part,we verify the performance of the proposed method by using the Canvas Network Person-Course(CNPC)dataset.Furthermore,four well-known prediction methods have been applied for comparison,where the superiority of our method has been proved.
基金supported by Shandong Province Natural Science Foundation(28172a2)
文摘Objective:To investigate the inhibition effect of siRNA interference on NGF induced by inflammatory factor IL-6,and JUL—1 so as to provide novel targets for clinical treatment of discogenic low back pain.Methods:The intervertebral disc nucleus and annulus fibrosus cells of rats were separated-The cells were co-cultured with different concentrations(10 nmol/L,20nmol/L,50 nmol/L,100 nmol/L)of IL-6 and IL-1β.The NGF-siRNA was leaded into the cocultured cells with its import ability assessed by flow cytometry instrument tests,hefore and after which the NCF mRNA expression was detected by real-time Q-PCR and the NGF content was detected by ELISA.Results:Flow cytometry instrument test results showed that the NGFsiRNA cell conversion rate was 99.8%.Real-time Q-PCR detection results showed that compared with negative control group,the NGF mRNA expression of co-cultured cells treated by 10 nmol/L,20 nmol/L,50 nmol/L,100 nmol/L IL-6 and IL-1βwere respectively raised 3.4,3.7,4.7,3.7 times which were all significantly down-regulated after the import of NGF-siRNA.EILSA detection results showed that compared with negative control group,the NGF content of cocultured medium treated by 10 nmol/L,20 nmol/L,50 nmol/L,100 nmol/L I-L6 and IL-1βwere respectively raised 2.9,3.3,4.5,7.4 times which were all significantly decreased after the import of NGF-siRNA.Conclusions:These molecular biological results suggest that inflammatory factor IL-6 and IL-1βcould stimulate NCF on intervertebral disc cells in vitro culture model and its efficiency is concentration dependent,while siRNA interference can inhibit the stimulation effect of IL-6 and IL-1βon intervertebral disc cell,which provides a new targets for the clinical treatment of discogenic low back pain.