Based on joint-innovation patent data from 2000 to 2016 in the Beijing-Tianjin-Hebei region of China,the purpose of this paper is to analyze how technological proximity affects university-industry collaborative innova...Based on joint-innovation patent data from 2000 to 2016 in the Beijing-Tianjin-Hebei region of China,the purpose of this paper is to analyze how technological proximity affects university-industry collaborative innovation in the Beijing-Tianjin-Hebei region.We adopt a 1:1 matching design to conduct an empirical study.The results show that the effect of technological proximity on the formation of collaborative innovation displays an inverted U-shape,and geographical proximity and institutional proximity play a positive role of forming a tie.Geographical proximity and institutional proximity as a coordination mechanism,have negatively influenced the relationship between technological proximity and the formation of university-industry collaborative innovation.Furthermore,university strength improves the possibility of collaborative innovation.These findings contributed to the understanding of the relationship between technological proximity and collaborative innovation.展开更多
Synthesis characteristics of the electro-hydraulic servo valve are key factors to determine eligibility of the hydraulic production. Testing all synthesis characteristics of the electro-hydraulic servo valve after ass...Synthesis characteristics of the electro-hydraulic servo valve are key factors to determine eligibility of the hydraulic production. Testing all synthesis characteristics of the electro-hydraulic servo valve after assembling leads to high repair rate and reject rate, so accurate prediction for the synthesis characteristics in the industrial production is particular important in decreasing the repair rate and the reject rate of the product. However, the research in forecasting synthesis characteristics of the electro-hydraulic servo valve is rare. In this work, a hybrid prediction method was proposed based on rough set（RS） and adaptive neuro-fuzzy inference system（ANFIS） in order to predict synthesis characteristics of electro-hydraulic servo valve. Since the geometric factors affecting the synthesis characteristics of the electro-hydraulic servo valve are from workers＇ experience, the inputs of the prediction method are uncertain. RS-based attributes reduction was used as the preprocessor, and then the exact geometric factors affecting the synthesis characteristics of the electro-hydraulic servo valve were obtained. On the basis of the exact geometric factors, ANFIS was used to build the final prediction model. A typical electro-hydraulic servo valve production was used to demonstrate the proposed prediction method. The prediction results showed that the proposed prediction method was more applicable than the artificial neural networks（ANN） in predicting the synthesis characteristics of electro-hydraulic servo valve, and the proposed prediction method was a powerful tool to predict synthesis characteristics of the electro-hydraulic servo valve. Moreover, with the use of the advantages of RS and ANFIS, the highly effective forecasting framework in this study can also be applied to other problems involving synthesis characteristics forecasting.展开更多
Kissing molars (KMs) is a condition of occlusal molar surfaces in a single follicular space with roots extending in opposite directions. Here, we have reported a case of KMs in a 58-year-old woman. The patient complai...Kissing molars (KMs) is a condition of occlusal molar surfaces in a single follicular space with roots extending in opposite directions. Here, we have reported a case of KMs in a 58-year-old woman. The patient complained of pain in the right mandibular molar region and was diagnosed with KMs consisting of the right mandibular second and third molars. Because of the patient’s pain having subsided at the time of the visit and her unwillingness to undergo tooth extraction, the patient was followed up. KMs is classified into three classes (I-III) and is either true-KMs or pseudo-KMs and presents with or without cystic variants of dental follicles. The presents as true-KMs class II without a cystic variant. With reference to the literature and based on our analysis, the mean age of patients affected by this specific case of KMs is 31.7 years and unilateral KMs is relatively more common (85.7%). Histopathological findings of dentigerous cysts are more often indicated (42.9%). The treatment policy for KMs should therefore be based on the classification of KMs. Importantly, the focus should be on preserving the first and second molars as much as possible. The treatment approach, such as the employment of surgical removal or orthodontics, should be determined by considering the associated factors such as the crowns, tissues, and age of the patient.展开更多
Liver fibrosis is a significant health burden,marked by the consistent deposition of collagen.Unfortunately,the currently available treatment approaches for this condition are far from optimal.Lysyl oxidase-like prote...Liver fibrosis is a significant health burden,marked by the consistent deposition of collagen.Unfortunately,the currently available treatment approaches for this condition are far from optimal.Lysyl oxidase-like protein 2(LOXL2)secreted by hepatic stellate cells(HSCs)is a crucial player in the cross-linking of matrix collagen and is a significant target for treating liver fibrosis.Mesenchymal stem cell-derived small extracellular vesicles(MSC-sEVs)have been proposed as a potential treatment option for chronic liver disorders.Previous studies have found that MSC-sEV can be used for microRNA delivery into target cells or tissues.It is currently unclear whether microRNA-4465(miR-4465)can target LOXL2 and inhibit HSC activation.Additionally,it is uncertain whether MSC-sEV can be utilized as a gene therapy vector to carry miR-4465 and effectively inhibit the progression of liver fibrosis.This study explored the effect of miR-4465-modified MSC-sEV(MSC-sEVmiR-4465)on LOXL2 expression and liver fibrosis development.The results showed that miR-4465 can bind specifically to the promoter of the LOXL2 gene in HSC.Moreover,MSC-sEVmiR-4465 inhibited HSC activation and collagen expression by downregulating LOXL2 expression in vitro.MSC-sEVmiR-4465 injection could reduce HSC activation and collagen deposition in the CCl4-induced mouse model.MSC-sEVmiR-4465 mediating via LOXL2 also hindered the migration and invasion of HepG2 cells.In conclusion,we found that MSC-sEV can deliver miR-4465 into HSC to alleviate liver fibrosis via altering LOXL2,which might provide a promising therapeutic strategy for liver diseases.展开更多
Insect pest control is considered as a significant factor in the yield of commercial crops.Thus,to avoid economic losses,we need a valid method for insect pest recognition.In this paper,we proposed a feature fusion re...Insect pest control is considered as a significant factor in the yield of commercial crops.Thus,to avoid economic losses,we need a valid method for insect pest recognition.In this paper,we proposed a feature fusion residual block to perform the insect pest recognition task.Based on the original residual block,we fused the feature from a previous layer between two 11 convolution layers in a residual signal branch to improve the capacity of the block.Furthermore,we explored the contribution of each residual group to the model performance.We found that adding the residual blocks of earlier residual groups promotes the model performance significantly,which improves the capacity of generalization of the model.By stacking the feature fusion residual block,we constructed the Deep Feature Fusion Residual Network(DFF-ResNet).To prove the validity and adaptivity of our approach,we constructed it with two common residual networks(Pre-ResNet and Wide Residual Network(WRN))and validated these models on the Canadian Institute For Advanced Research(CIFAR)and Street View House Number(SVHN)benchmark datasets.The experimental results indicate that our models have a lower test error than those of baseline models.Then,we applied our models to recognize insect pests and obtained validity on the IP102 benchmark dataset.The experimental results show that our models outperform the original ResNet and other state-of-the-art methods.展开更多
Offensive language detection has received important attention and plays a crucial role in promoting healthy communication on social platforms,as well as promoting the safe deployment of large language models.Training ...Offensive language detection has received important attention and plays a crucial role in promoting healthy communication on social platforms,as well as promoting the safe deployment of large language models.Training data is the basis for developing detectors;however,the available offense-related dataset in Chinese is severely limited in terms of data scale and coverage when compared to English resources.This significantly affects the accuracy of Chinese offensive language detectors in practical applications,especially when dealing with hard cases or out-of-domain samples.To alleviate the limitations posed by available datasets,we introduce AugCOLD(Augmented Chinese Offensive Language Dataset),a large-scale unsupervised dataset containing 1 million samples gathered by data crawling and model generation.Furthermore,we employ a multiteacher distillation framework to enhance detection performance with unsupervised data.That is,we build multiple teachers with publicly accessible datasets and use them to assign soft labels to AugCOLD.The soft labels serve as a bridge for knowledge to be distilled from both AugCOLD and multiteacher to the student network,i.e.,the final offensive detector.We conduct experiments on multiple public test sets and our well-designed hard tests,demonstrating that our proposal can effectively improve the generalization and robustness of the offensive language detector.展开更多
Three-dimensional(3D)printing of carbon fiber-reinforced thermoplastic composites(CFRTPs)provides an ef-fective method for manufacturing the CFRTPs parts with complex structures.To increase the mechanical per-formance...Three-dimensional(3D)printing of carbon fiber-reinforced thermoplastic composites(CFRTPs)provides an ef-fective method for manufacturing the CFRTPs parts with complex structures.To increase the mechanical per-formance of these parts,a 3D printing technology for short-continuous carbon fiber synchronous-reinforced thermoplastic composites(S/C-CFRTPs)has been proposed.However,the synchronous reinforcement that ex-isted only at particular positions led to a limited improvement in the mechanical performance of the 3D-printed S/C-CFRTP part,which made it challenging to meet the engineering requirements.To solve this problem,two methods for achieving synchronous reinforcement at all the positions of the 3D-printed S/C-CFRTP part are pro-posed.To determine a suitable printing process for the S/C-CFRTP part,a comprehensive comparison between the two methods was conducted through theoretical analysis and experimental verification,involving the print-ing mechanism,fiber content,impregnation percentage,and mechanical performance.The results indicated that the towpreg extrusion process was suitable for manufacturing the 3D-printed S/C-CFRTP part.Compared with the in situ impregnation process,the towpreg extrusion process led to a fiber content increase of approximately 7%and void rate reduction of approximately 6%,resulting in 19%and 20%increases in the tensile and flexural strengths of the 3D-printed S/C-CFRTPs,respectively.Additionally,an optimized process parameter setting for fabricating an S/C-CFRTP prepreg filament with excellent mechanical performance was proposed.The findings of this study can provide a new approach for further improving the mechanical performance of the 3D-printed advanced composites.展开更多
From the viewpoints of both fuzzy system and fuzzy reasoning, a new fuzzy reasoning method which contains the α- triple I restriction method as its particular case is proposed. The previous α-triple I restriction pr...From the viewpoints of both fuzzy system and fuzzy reasoning, a new fuzzy reasoning method which contains the α- triple I restriction method as its particular case is proposed. The previous α-triple I restriction principles are improved, and then the optimal restriction solutions of this new method are achieved, especially for seven familiar implications. As its special case, the corresponding results of α-triple I restriction method are obtained and improved. Lastly, it is found by examples that this new method is more reasonable than the α-triple I restriction method.展开更多
Gap debris as discharge product is closely related to machining process in electrical discharge machining（EDM）. A lot of recent researches have focused on the relationship among debris size, surfaces texture, remove...Gap debris as discharge product is closely related to machining process in electrical discharge machining（EDM）. A lot of recent researches have focused on the relationship among debris size, surfaces texture, remove rate, and machining stability. The study on statistical distribution of debris size contributes to the research, but it is still superficial currently. In order to obtain the distribution law of the debris particle size, laser particle size analyzer（LPSA） combined with scanning electron microscope（SEM） is used to analyze the EDM debris size. Firstly, the heating dried method is applied to obtain the debris particles. Secondly, the measuring range of LPSA is determined as 0.5–100 μm by SEM observation, and the frequency distribution histogram and the cumulative frequency distribution scattergram of debris size are obtained by using LPSA. Thirdly, according to the distribution characteristic of the frequency distribution histogram, the statistical distribution functions of lognormal, exponentially modified Gaussian（EMG）, Gamma and Weibull are chosen to achieve curve fitting of the histogram. At last, the distribute law of the debris size is obtained by fitting results. Experiments with different discharge parameters are carried out on an EDM machine designed by the authors themselves, and the machining conditions are tool electrode of red-copper material, workpiece of ANSI 1045 material and working fluid of de-ionized water. The experimental results indicate that the debris sizes of all experiment sample truly obey the Weibull distribution. The obtained distribution law is significantly important for all the models established based on the debris particle size.展开更多
A novel supramolecular graft copolymer （SGP） composed of viologen-containing copolymer （P（DMA-co- diEV）） as the main chain and Np ended PNIPAM （Np-PNIPAm） as the grafts is prepared （DMA： N,N- dimethylacryami...A novel supramolecular graft copolymer （SGP） composed of viologen-containing copolymer （P（DMA-co- diEV）） as the main chain and Np ended PNIPAM （Np-PNIPAm） as the grafts is prepared （DMA： N,N- dimethylacryamide, diEV： ethylviologen dimer, Np： naphthalene, PNIPAM： poly（N-isopropylacrylamide））. The grafting is based on the triple complexation among a host of cucurbit[8]uril （CB[8]） and two guests of diEV and Np, which is characterized by UV-vis spectra and ITC. Temperature sensitive property of PNIPAm moiety allows SGP to self-assemble into non-covalently connected micelle （NCCM） at high temperature. The micelles are sensitive to reducing agents, for example Na2S203, which breaks the current inclusion complex pair and induces aggregation.展开更多
Understanding people's emotions through natural language is a challenging task for intelligent systems based on Internet of Things(Io T). The major difficulty is caused by the lack of basic knowledge in emotion ex...Understanding people's emotions through natural language is a challenging task for intelligent systems based on Internet of Things(Io T). The major difficulty is caused by the lack of basic knowledge in emotion expressions with respect to a variety of real world contexts. In this paper, we propose a Bayesian inference method to explore the latent semantic dimensions as contextual information in natural language and to learn the knowledge of emotion expressions based on these semantic dimensions. Our method synchronously infers the latent semantic dimensions as topics in words and predicts the emotion labels in both word-level and document-level texts. The Bayesian inference results enable us to visualize the connection between words and emotions with respect to different semantic dimensions. And by further incorporating a corpus-level hierarchy in the document emotion distribution assumption, we could balance the document emotion recognition results and achieve even better word and document emotion predictions. Our experiment of the wordlevel and the document-level emotion predictions, based on a well-developed Chinese emotion corpus Ren-CECps, renders both higher accuracy and better robustness in the word-level and the document-level emotion predictions compared to the state-of-theart emotion prediction algorithms.展开更多
In this paper, a novel electrically conductive alumina/nano-carbon network (NCN) composite material was used as an electro- catalyst carrier. A NiCu/Al2O3 /NCN composite electrode was prepared by electrodepositing NiC...In this paper, a novel electrically conductive alumina/nano-carbon network (NCN) composite material was used as an electro- catalyst carrier. A NiCu/Al2O3 /NCN composite electrode was prepared by electrodepositing NiCu particles onto the surface of the conductive alumina/NCN composite. Morphology, composition, crystalline structure and electrochemical properties of the NiCu/Al2O3 /NCN composite electrode were investigated. The results showed that NiCu particles can be deposited onto the surface of the alumina/NCN composite by a coelectrodeposition method. NiCu particles in the form of solid solution with face-centered cubic (fcc) structure were relatively uniformly distributed over the carbon layer of the conductive ceramic between alumina grains. As-resulted NiCu/Al2O3 /NCN composite electrode had a remarkably enhanced electrochemical activity and high stabilization for oxygen evolution reaction, which indicated its potential application with enhanced performance to oxygen evolution reaction (OER). Moreover, based on the electrochemical measurement, the mechanism of the OER on the NiCu/Al2O3 /NCN composite electrode was discussed.展开更多
This study clarified the characteristic autonomic nervous activity of institutionalized elders diagnosed with dementia using Hasegawa’s Dementia Scale-Revised. Twenty-six healthy adult persons (HPs) in their 20 s - 4...This study clarified the characteristic autonomic nervous activity of institutionalized elders diagnosed with dementia using Hasegawa’s Dementia Scale-Revised. Twenty-six healthy adult persons (HPs) in their 20 s - 40 s met the inclusion criteria, and 16 persons (27.6 ± 8.2 years old) completed the research procedure. Of 70 persons with dementia (PDs) residing at the one geriatric health services facilities, only 24 persons met the inclusion criteria, and only nine (N = 9, 83.44 ± 9.45 years old) completed the procedure. Actigraph and ambulatory electrocardiographic instruments measuring autonomic nervous activity were attached to the subjects for 24 hours. Activities and behaviors of PDs and HPs were observed by clinically experienced staff nurses and care workers. High frequency (HF) power indicating parasympathetic activity and LF/HF ratio indicating sympathetic activity were calculated. When awake, PDs’ LF/HF ratio was significantly lower than HP’s (Z = -2.60, p < 0.01), showing significant differences in the LF/HF ratios between waking and sleeping, more than those of the PDs (p < 0.001). Similarly, when awake, significant positive correlations were observed in the LF/HF ratio and actigraph activity count (AC) in 11 HPs and 3 PDs (range r = 0.17 to 0.49, p < 0.05);however, significant negative correlation was found in HF and AC of 12 HPs and 3 PDs (range r = -0.55 to -0.18, p < 0.05). While sleeping, significant positive correlations were observed in LF/HF and AC of 3 HPs and 1 PD (range r = 0.35 to 0.42, p < 0.05) and significant negative correlation was found in the HF and AC of 1 HP (r= -0.32, p < 0.001) and 1 PD (r = -0.32, p < 0.05). The mean value of LF/HF in a wakeful state was significantly lower for PDs than HPs. Combined results of behavioral observation, actigrapy and heart rate variability (HRV) analyses suggested that PDs showed positive correlations between LF/HF and AC in a wakeful state. Compared to those who showed no positive correlation, they did not require much nursing care.展开更多
Background. Depth of submucosal invasion (SM depth) in submucosal invasive colorectal carcinoma (SICC) is considered an important predictive factor for lymph node metastasis.However, no nationwide reports have clarifi...Background. Depth of submucosal invasion (SM depth) in submucosal invasive colorectal carcinoma (SICC) is considered an important predictive factor for lymph node metastasis.However, no nationwide reports have clarified the relationship between SM depth and rate of lymph node metastasis. Our aim was to investigate the correlations between lymph node metastasis and SM depth in SICC. Methods. SM depth was measured for 865 SICCs that were surgically resected at six institutions throughout Japan. For pedunculated SICC, the level 2 line according to Haggitt s classification was used as baseline and the SM depth was measured from this baseline to the deepest portion in the submucosa. When the deepest portion of invasion was limited to above the baseline, the case was defined as a head invasion. For nonpedunculated SICC, when the muscularis mucosae could be identified, the muscularis mucosae was used as baseline and the vertical distance from this line to the deepest portion of invasion represented SM depth.When the muscularis mucosae could not be identified due to carcinomatous invasion, the superficial aspect of the SICC was used as baseline, and the vertical distance from this line to the deepest portion was determined. Results. For pedunculated SICC, rate of lymph node metastasis was 0% in head invasion cases and stalk invasion cases with SM depth < 3000 μ if lymphatic invasion was negative. For nonpedunculated SICC, rate of lymph node metastasis was also 0% if SM depth was < 1000μ . Conclusions. These results clarified rates of lymph node metastasis in SICC according to SM depth, and may contribute to defining therapeutic strategies for SICC.展开更多
In precision machining of complex curved surface parts with high performance, geometry accuracy is not the only constraint, but the performance should also be met. Performance of this kind of parts is closely related ...In precision machining of complex curved surface parts with high performance, geometry accuracy is not the only constraint, but the performance should also be met. Performance of this kind of parts is closely related to the geometrical and physical parameters, so the final actual size and shape are affected by multiple source constraints, such as geometry, physics, and performance. These parts are rather difficult to be manufactured and new manufacturing method according to performance requirement is urgently needed. Based on performance and manufacturing requirements for complex curved surface parts, a new classification method is proposed, which divided the complex curved surface parts into two categories： surface re-design complex curved surface parts with multi-source constraints（PRCS） and surface unique complex curved surface parts with pure geometric constraints（PUCS）. A correlation model is constructed between the performance and multi-source constraints for PRCS, which reveals the correlation between the performance and multi-source constraints. A re-design method is also developed. Through solving the correlation model of the typical paws performance-associated surface, the mapping relation between the performance-associated surface and the related removal amount is obtained. The explicit correlation model and the method for the corresponding related removal amount of the performance-associated surface are built based on the classification of surface re-design complex curved surface parts with multi-source constraints. Research results have been used in the actual processing of the typical parts such as radome, common bottom components, nozzle, et al., which shows improved efficiency and accuracy of the precision machining for the surface re-design parts with complex curved surface.展开更多
基金This work was supported by the National Social Science Foundation of China(grant number 13AZD015)Key Project of Philosophy and Social Sciences Research,Ministry of Education of PRC(grant number 15JZD017)National Natural Science Foundation of China(grant number 71373158).
文摘Based on joint-innovation patent data from 2000 to 2016 in the Beijing-Tianjin-Hebei region of China,the purpose of this paper is to analyze how technological proximity affects university-industry collaborative innovation in the Beijing-Tianjin-Hebei region.We adopt a 1:1 matching design to conduct an empirical study.The results show that the effect of technological proximity on the formation of collaborative innovation displays an inverted U-shape,and geographical proximity and institutional proximity play a positive role of forming a tie.Geographical proximity and institutional proximity as a coordination mechanism,have negatively influenced the relationship between technological proximity and the formation of university-industry collaborative innovation.Furthermore,university strength improves the possibility of collaborative innovation.These findings contributed to the understanding of the relationship between technological proximity and collaborative innovation.
基金supported by National Natural Science Foundation of China(Grant No.50835001)Research and Innovation Teams Foundation Project of Ministry of Education of China(Grant No.IRT0610)Liaoning Provincial Key Laboratory Foundation Project of China(Grant No.20060132)
文摘Synthesis characteristics of the electro-hydraulic servo valve are key factors to determine eligibility of the hydraulic production. Testing all synthesis characteristics of the electro-hydraulic servo valve after assembling leads to high repair rate and reject rate, so accurate prediction for the synthesis characteristics in the industrial production is particular important in decreasing the repair rate and the reject rate of the product. However, the research in forecasting synthesis characteristics of the electro-hydraulic servo valve is rare. In this work, a hybrid prediction method was proposed based on rough set（RS） and adaptive neuro-fuzzy inference system（ANFIS） in order to predict synthesis characteristics of electro-hydraulic servo valve. Since the geometric factors affecting the synthesis characteristics of the electro-hydraulic servo valve are from workers＇ experience, the inputs of the prediction method are uncertain. RS-based attributes reduction was used as the preprocessor, and then the exact geometric factors affecting the synthesis characteristics of the electro-hydraulic servo valve were obtained. On the basis of the exact geometric factors, ANFIS was used to build the final prediction model. A typical electro-hydraulic servo valve production was used to demonstrate the proposed prediction method. The prediction results showed that the proposed prediction method was more applicable than the artificial neural networks（ANN） in predicting the synthesis characteristics of electro-hydraulic servo valve, and the proposed prediction method was a powerful tool to predict synthesis characteristics of the electro-hydraulic servo valve. Moreover, with the use of the advantages of RS and ANFIS, the highly effective forecasting framework in this study can also be applied to other problems involving synthesis characteristics forecasting.
文摘Kissing molars (KMs) is a condition of occlusal molar surfaces in a single follicular space with roots extending in opposite directions. Here, we have reported a case of KMs in a 58-year-old woman. The patient complained of pain in the right mandibular molar region and was diagnosed with KMs consisting of the right mandibular second and third molars. Because of the patient’s pain having subsided at the time of the visit and her unwillingness to undergo tooth extraction, the patient was followed up. KMs is classified into three classes (I-III) and is either true-KMs or pseudo-KMs and presents with or without cystic variants of dental follicles. The presents as true-KMs class II without a cystic variant. With reference to the literature and based on our analysis, the mean age of patients affected by this specific case of KMs is 31.7 years and unilateral KMs is relatively more common (85.7%). Histopathological findings of dentigerous cysts are more often indicated (42.9%). The treatment policy for KMs should therefore be based on the classification of KMs. Importantly, the focus should be on preserving the first and second molars as much as possible. The treatment approach, such as the employment of surgical removal or orthodontics, should be determined by considering the associated factors such as the crowns, tissues, and age of the patient.
基金supported by the National Natural Science Foundation of China(No.82272421)the Jiangsu Provincial Key Research and Development Program(No.BE2021690)+2 种基金the Changzhou's 14th Five-year Plan Project to Train Highlevel Health Professionals(No.2022CZLJ027)the Scientific Project of Jiangsu Health Commission(No.Z2020038)the Changzhou Sci&Tech Program(No.CJ20220164),China.
文摘Liver fibrosis is a significant health burden,marked by the consistent deposition of collagen.Unfortunately,the currently available treatment approaches for this condition are far from optimal.Lysyl oxidase-like protein 2(LOXL2)secreted by hepatic stellate cells(HSCs)is a crucial player in the cross-linking of matrix collagen and is a significant target for treating liver fibrosis.Mesenchymal stem cell-derived small extracellular vesicles(MSC-sEVs)have been proposed as a potential treatment option for chronic liver disorders.Previous studies have found that MSC-sEV can be used for microRNA delivery into target cells or tissues.It is currently unclear whether microRNA-4465(miR-4465)can target LOXL2 and inhibit HSC activation.Additionally,it is uncertain whether MSC-sEV can be utilized as a gene therapy vector to carry miR-4465 and effectively inhibit the progression of liver fibrosis.This study explored the effect of miR-4465-modified MSC-sEV(MSC-sEVmiR-4465)on LOXL2 expression and liver fibrosis development.The results showed that miR-4465 can bind specifically to the promoter of the LOXL2 gene in HSC.Moreover,MSC-sEVmiR-4465 inhibited HSC activation and collagen expression by downregulating LOXL2 expression in vitro.MSC-sEVmiR-4465 injection could reduce HSC activation and collagen deposition in the CCl4-induced mouse model.MSC-sEVmiR-4465 mediating via LOXL2 also hindered the migration and invasion of HepG2 cells.In conclusion,we found that MSC-sEV can deliver miR-4465 into HSC to alleviate liver fibrosis via altering LOXL2,which might provide a promising therapeutic strategy for liver diseases.
基金partially supported by the Research Clusters Program of Tokushima University and JSPS KAKENHI(No.19K20345)
文摘Insect pest control is considered as a significant factor in the yield of commercial crops.Thus,to avoid economic losses,we need a valid method for insect pest recognition.In this paper,we proposed a feature fusion residual block to perform the insect pest recognition task.Based on the original residual block,we fused the feature from a previous layer between two 11 convolution layers in a residual signal branch to improve the capacity of the block.Furthermore,we explored the contribution of each residual group to the model performance.We found that adding the residual blocks of earlier residual groups promotes the model performance significantly,which improves the capacity of generalization of the model.By stacking the feature fusion residual block,we constructed the Deep Feature Fusion Residual Network(DFF-ResNet).To prove the validity and adaptivity of our approach,we constructed it with two common residual networks(Pre-ResNet and Wide Residual Network(WRN))and validated these models on the Canadian Institute For Advanced Research(CIFAR)and Street View House Number(SVHN)benchmark datasets.The experimental results indicate that our models have a lower test error than those of baseline models.Then,we applied our models to recognize insect pests and obtained validity on the IP102 benchmark dataset.The experimental results show that our models outperform the original ResNet and other state-of-the-art methods.
基金supported by the National Science Foundation for Distinguished Young Scholars(with No.62125604)the NSFC projects(Key project with No.61936010 and regular project with No.61876096)+1 种基金supported by the Guoqiang Institute of Tsinghua University,with Grant No.2019GQG1 and 2020GQG0005sponsored by Tsinghua-Toyota Joint Research Fund.
文摘Offensive language detection has received important attention and plays a crucial role in promoting healthy communication on social platforms,as well as promoting the safe deployment of large language models.Training data is the basis for developing detectors;however,the available offense-related dataset in Chinese is severely limited in terms of data scale and coverage when compared to English resources.This significantly affects the accuracy of Chinese offensive language detectors in practical applications,especially when dealing with hard cases or out-of-domain samples.To alleviate the limitations posed by available datasets,we introduce AugCOLD(Augmented Chinese Offensive Language Dataset),a large-scale unsupervised dataset containing 1 million samples gathered by data crawling and model generation.Furthermore,we employ a multiteacher distillation framework to enhance detection performance with unsupervised data.That is,we build multiple teachers with publicly accessible datasets and use them to assign soft labels to AugCOLD.The soft labels serve as a bridge for knowledge to be distilled from both AugCOLD and multiteacher to the student network,i.e.,the final offensive detector.We conduct experiments on multiple public test sets and our well-designed hard tests,demonstrating that our proposal can effectively improve the generalization and robustness of the offensive language detector.
基金supported by National Natural Science Foundation of China(Grant No.52130506)Dalian Municipal Science and Technology Innovation Foundation of China(Grant Nos.2021RD08,2022JJ12GX027).
文摘Three-dimensional(3D)printing of carbon fiber-reinforced thermoplastic composites(CFRTPs)provides an ef-fective method for manufacturing the CFRTPs parts with complex structures.To increase the mechanical per-formance of these parts,a 3D printing technology for short-continuous carbon fiber synchronous-reinforced thermoplastic composites(S/C-CFRTPs)has been proposed.However,the synchronous reinforcement that ex-isted only at particular positions led to a limited improvement in the mechanical performance of the 3D-printed S/C-CFRTP part,which made it challenging to meet the engineering requirements.To solve this problem,two methods for achieving synchronous reinforcement at all the positions of the 3D-printed S/C-CFRTP part are pro-posed.To determine a suitable printing process for the S/C-CFRTP part,a comprehensive comparison between the two methods was conducted through theoretical analysis and experimental verification,involving the print-ing mechanism,fiber content,impregnation percentage,and mechanical performance.The results indicated that the towpreg extrusion process was suitable for manufacturing the 3D-printed S/C-CFRTP part.Compared with the in situ impregnation process,the towpreg extrusion process led to a fiber content increase of approximately 7%and void rate reduction of approximately 6%,resulting in 19%and 20%increases in the tensile and flexural strengths of the 3D-printed S/C-CFRTPs,respectively.Additionally,an optimized process parameter setting for fabricating an S/C-CFRTP prepreg filament with excellent mechanical performance was proposed.The findings of this study can provide a new approach for further improving the mechanical performance of the 3D-printed advanced composites.
基金supported by the National Natural Science Foundation of China (61105076 61070124)+2 种基金the National High Technology Research and Development Program of China (863 Program) (2012AA011103)the Open Project of State Key Laboratory of Virtual Reality Technology and Systems of China (BUAA-VR-10KF-5)the Fundamental Research Funds for the Central Universities (2011HGZY0004)
文摘From the viewpoints of both fuzzy system and fuzzy reasoning, a new fuzzy reasoning method which contains the α- triple I restriction method as its particular case is proposed. The previous α-triple I restriction principles are improved, and then the optimal restriction solutions of this new method are achieved, especially for seven familiar implications. As its special case, the corresponding results of α-triple I restriction method are obtained and improved. Lastly, it is found by examples that this new method is more reasonable than the α-triple I restriction method.
基金supported by Research Fund for the Doctoral Program of Ministry of Education of China(Grant No.20090041110031)National Natural Science Foundation of China(Grant No.50575033)
文摘Gap debris as discharge product is closely related to machining process in electrical discharge machining（EDM）. A lot of recent researches have focused on the relationship among debris size, surfaces texture, remove rate, and machining stability. The study on statistical distribution of debris size contributes to the research, but it is still superficial currently. In order to obtain the distribution law of the debris particle size, laser particle size analyzer（LPSA） combined with scanning electron microscope（SEM） is used to analyze the EDM debris size. Firstly, the heating dried method is applied to obtain the debris particles. Secondly, the measuring range of LPSA is determined as 0.5–100 μm by SEM observation, and the frequency distribution histogram and the cumulative frequency distribution scattergram of debris size are obtained by using LPSA. Thirdly, according to the distribution characteristic of the frequency distribution histogram, the statistical distribution functions of lognormal, exponentially modified Gaussian（EMG）, Gamma and Weibull are chosen to achieve curve fitting of the histogram. At last, the distribute law of the debris size is obtained by fitting results. Experiments with different discharge parameters are carried out on an EDM machine designed by the authors themselves, and the machining conditions are tool electrode of red-copper material, workpiece of ANSI 1045 material and working fluid of de-ionized water. The experimental results indicate that the debris sizes of all experiment sample truly obey the Weibull distribution. The obtained distribution law is significantly important for all the models established based on the debris particle size.
基金Ministry of Science and Technology of China(Nos. 2011CB932503 and 2009CB930402)National Natural Science Foundation of China(No.91227203) are acknowledged for their financial support
文摘A novel supramolecular graft copolymer （SGP） composed of viologen-containing copolymer （P（DMA-co- diEV）） as the main chain and Np ended PNIPAM （Np-PNIPAm） as the grafts is prepared （DMA： N,N- dimethylacryamide, diEV： ethylviologen dimer, Np： naphthalene, PNIPAM： poly（N-isopropylacrylamide））. The grafting is based on the triple complexation among a host of cucurbit[8]uril （CB[8]） and two guests of diEV and Np, which is characterized by UV-vis spectra and ITC. Temperature sensitive property of PNIPAm moiety allows SGP to self-assemble into non-covalently connected micelle （NCCM） at high temperature. The micelles are sensitive to reducing agents, for example Na2S203, which breaks the current inclusion complex pair and induces aggregation.
基金supported in part by the National Natural Science Foundation of China(NSFC)Key Program(61573094)Fundamental Research Funds for the Central Universities(N140402001)
文摘Understanding people's emotions through natural language is a challenging task for intelligent systems based on Internet of Things(Io T). The major difficulty is caused by the lack of basic knowledge in emotion expressions with respect to a variety of real world contexts. In this paper, we propose a Bayesian inference method to explore the latent semantic dimensions as contextual information in natural language and to learn the knowledge of emotion expressions based on these semantic dimensions. Our method synchronously infers the latent semantic dimensions as topics in words and predicts the emotion labels in both word-level and document-level texts. The Bayesian inference results enable us to visualize the connection between words and emotions with respect to different semantic dimensions. And by further incorporating a corpus-level hierarchy in the document emotion distribution assumption, we could balance the document emotion recognition results and achieve even better word and document emotion predictions. Our experiment of the wordlevel and the document-level emotion predictions, based on a well-developed Chinese emotion corpus Ren-CECps, renders both higher accuracy and better robustness in the word-level and the document-level emotion predictions compared to the state-of-theart emotion prediction algorithms.
文摘In this paper, a novel electrically conductive alumina/nano-carbon network (NCN) composite material was used as an electro- catalyst carrier. A NiCu/Al2O3 /NCN composite electrode was prepared by electrodepositing NiCu particles onto the surface of the conductive alumina/NCN composite. Morphology, composition, crystalline structure and electrochemical properties of the NiCu/Al2O3 /NCN composite electrode were investigated. The results showed that NiCu particles can be deposited onto the surface of the alumina/NCN composite by a coelectrodeposition method. NiCu particles in the form of solid solution with face-centered cubic (fcc) structure were relatively uniformly distributed over the carbon layer of the conductive ceramic between alumina grains. As-resulted NiCu/Al2O3 /NCN composite electrode had a remarkably enhanced electrochemical activity and high stabilization for oxygen evolution reaction, which indicated its potential application with enhanced performance to oxygen evolution reaction (OER). Moreover, based on the electrochemical measurement, the mechanism of the OER on the NiCu/Al2O3 /NCN composite electrode was discussed.
文摘This study clarified the characteristic autonomic nervous activity of institutionalized elders diagnosed with dementia using Hasegawa’s Dementia Scale-Revised. Twenty-six healthy adult persons (HPs) in their 20 s - 40 s met the inclusion criteria, and 16 persons (27.6 ± 8.2 years old) completed the research procedure. Of 70 persons with dementia (PDs) residing at the one geriatric health services facilities, only 24 persons met the inclusion criteria, and only nine (N = 9, 83.44 ± 9.45 years old) completed the procedure. Actigraph and ambulatory electrocardiographic instruments measuring autonomic nervous activity were attached to the subjects for 24 hours. Activities and behaviors of PDs and HPs were observed by clinically experienced staff nurses and care workers. High frequency (HF) power indicating parasympathetic activity and LF/HF ratio indicating sympathetic activity were calculated. When awake, PDs’ LF/HF ratio was significantly lower than HP’s (Z = -2.60, p < 0.01), showing significant differences in the LF/HF ratios between waking and sleeping, more than those of the PDs (p < 0.001). Similarly, when awake, significant positive correlations were observed in the LF/HF ratio and actigraph activity count (AC) in 11 HPs and 3 PDs (range r = 0.17 to 0.49, p < 0.05);however, significant negative correlation was found in HF and AC of 12 HPs and 3 PDs (range r = -0.55 to -0.18, p < 0.05). While sleeping, significant positive correlations were observed in LF/HF and AC of 3 HPs and 1 PD (range r = 0.35 to 0.42, p < 0.05) and significant negative correlation was found in the HF and AC of 1 HP (r= -0.32, p < 0.001) and 1 PD (r = -0.32, p < 0.05). The mean value of LF/HF in a wakeful state was significantly lower for PDs than HPs. Combined results of behavioral observation, actigrapy and heart rate variability (HRV) analyses suggested that PDs showed positive correlations between LF/HF and AC in a wakeful state. Compared to those who showed no positive correlation, they did not require much nursing care.
文摘Background. Depth of submucosal invasion (SM depth) in submucosal invasive colorectal carcinoma (SICC) is considered an important predictive factor for lymph node metastasis.However, no nationwide reports have clarified the relationship between SM depth and rate of lymph node metastasis. Our aim was to investigate the correlations between lymph node metastasis and SM depth in SICC. Methods. SM depth was measured for 865 SICCs that were surgically resected at six institutions throughout Japan. For pedunculated SICC, the level 2 line according to Haggitt s classification was used as baseline and the SM depth was measured from this baseline to the deepest portion in the submucosa. When the deepest portion of invasion was limited to above the baseline, the case was defined as a head invasion. For nonpedunculated SICC, when the muscularis mucosae could be identified, the muscularis mucosae was used as baseline and the vertical distance from this line to the deepest portion of invasion represented SM depth.When the muscularis mucosae could not be identified due to carcinomatous invasion, the superficial aspect of the SICC was used as baseline, and the vertical distance from this line to the deepest portion was determined. Results. For pedunculated SICC, rate of lymph node metastasis was 0% in head invasion cases and stalk invasion cases with SM depth < 3000 μ if lymphatic invasion was negative. For nonpedunculated SICC, rate of lymph node metastasis was also 0% if SM depth was < 1000μ . Conclusions. These results clarified rates of lymph node metastasis in SICC according to SM depth, and may contribute to defining therapeutic strategies for SICC.
基金supported by Key Program of National Natural Science Foundation of China(Grant No.50835001)Program for New Century Excellent Talents in University,China(Grant No.NCET-13-0081)
文摘In precision machining of complex curved surface parts with high performance, geometry accuracy is not the only constraint, but the performance should also be met. Performance of this kind of parts is closely related to the geometrical and physical parameters, so the final actual size and shape are affected by multiple source constraints, such as geometry, physics, and performance. These parts are rather difficult to be manufactured and new manufacturing method according to performance requirement is urgently needed. Based on performance and manufacturing requirements for complex curved surface parts, a new classification method is proposed, which divided the complex curved surface parts into two categories： surface re-design complex curved surface parts with multi-source constraints（PRCS） and surface unique complex curved surface parts with pure geometric constraints（PUCS）. A correlation model is constructed between the performance and multi-source constraints for PRCS, which reveals the correlation between the performance and multi-source constraints. A re-design method is also developed. Through solving the correlation model of the typical paws performance-associated surface, the mapping relation between the performance-associated surface and the related removal amount is obtained. The explicit correlation model and the method for the corresponding related removal amount of the performance-associated surface are built based on the classification of surface re-design complex curved surface parts with multi-source constraints. Research results have been used in the actual processing of the typical parts such as radome, common bottom components, nozzle, et al., which shows improved efficiency and accuracy of the precision machining for the surface re-design parts with complex curved surface.
