Moiré superlattices are formed when overlaying two materials with a slight mismatch in twist angle or lattice constant. They provide a novel platform for the study of strong electronic correlations and non-trivia...Moiré superlattices are formed when overlaying two materials with a slight mismatch in twist angle or lattice constant. They provide a novel platform for the study of strong electronic correlations and non-trivial band topology, where emergent phenomena such as correlated insulating states, unconventional superconductivity, and quantum anomalous Hall effect are discovered. In this review, we focus on the semiconducting transition metal dichalcogenides(TMDs) based moiré systems that host intriguing flat-band physics. We first review the exfoliation methods of two-dimensional materials and the fabrication technique of their moiré structures. Secondly, we overview the progress of the optically excited moiré excitons, which render the main discovery in the early experiments on TMD moiré systems. We then introduce the formation mechanism of flat bands and their potential in the quantum simulation of the Hubbard model with tunable doping, degeneracies, and correlation strength. Finally, we briefly discuss the challenges and future perspectives of this field.展开更多
Defined as an association of acute cervical pain and calcifications in the peri-odontoid space, crowned dens syndrome (CDS) is a major imaging manifestation of “coronary”. CDS is a rare but under-recognized cause of...Defined as an association of acute cervical pain and calcifications in the peri-odontoid space, crowned dens syndrome (CDS) is a major imaging manifestation of “coronary”. CDS is a rare but under-recognized cause of severe neck pain in older adults. As such, it is often misdiagnosed. So, we review the literature with particular attention to the clinical and radiological aspects of this syndrome.展开更多
Increasing both clean water and green energy demands for survival and development are the grand challenges of our age.Here,we successfully fabricate a novel multifunctional 3D graphene-based catalytic membrane(3D-GCM)...Increasing both clean water and green energy demands for survival and development are the grand challenges of our age.Here,we successfully fabricate a novel multifunctional 3D graphene-based catalytic membrane(3D-GCM)with active metal nanoparticles(AMNs)loading for simultaneously obtaining the water purification and clean energy generation,via a“green”one-step laser scribing technology.The as-prepared 3D-GCM shows high porosity and uniform distribution with AMNs,which exhibits high permeated fluxes(over 100 L m^(−2) h^(−1))and versatile super-adsorption capacities for the removal of tricky organic pollutants from wastewater under ultra-low pressure-driving(0.1 bar).After adsorption saturating,the AMNs in 3D-GCM actuates the advanced oxidization process to self-clean the fouled membrane via the catalysis,and restores the adsorption capacity well for the next time membrane separation.Most importantly,the 3D-GCM with the welding of laser scribing overcomes the lateral shear force damaging during the long-term separation.Moreover,the 3D-GCM could emit plentiful of hot electrons from AMNs under light irradiation,realizing the membrane catalytic hydrolysis reactions for hydrogen energy generation.This“green”precision manufacturing with laser scribing technology provides a feasible technology to fabricate high-efficient and robust 3D-GCM microreactor in the tricky wastewater purification and sustainable clean energy production as well.展开更多
Two-dimensional(2D) materials, such as graphene, transition metal dichalcogenides(TMDs), black phosphorus(BP),and related derivatives, have attracted great attention due to their advantages of flexibility, strong ligh...Two-dimensional(2D) materials, such as graphene, transition metal dichalcogenides(TMDs), black phosphorus(BP),and related derivatives, have attracted great attention due to their advantages of flexibility, strong light–matter interaction,broadband absorption, and high carrier mobility, and have become a powerful contender for next-generation infrared photodetectors. However, since the thickness of 2D materials is on the order of nanometers, the absorption of 2D materials is very weak, which limits the detection performance of 2D materials-based infrared photodetectors. In order to solve this problem, scientific researchers have tried to use optimized device structures to combine with 2D materials for improving the performance of infrared photodetectors. In this review, we review the progress of room-temperature infrared photodetectors with hybrid structure based on 2D materials in recent years, focusing mainly on 2D–nD(n = 0, 1, 2) heterostructures, the integration between 2D materials and on-chip or plasmonic structure. Finally, we summarize the current challenges and point out the future development direction.展开更多
We developed a computational framework to identify common gene association sub-network. This framework combines graphical lasso model, graph product and a replicator equation based clique solver. We applied this metho...We developed a computational framework to identify common gene association sub-network. This framework combines graphical lasso model, graph product and a replicator equation based clique solver. We applied this method to find common stress responsive sub-networks from two related Deinococcus-Thermus bacterial species.展开更多
Based on the theory of collaborative innovation and the triple helix theory combined with the needs for innovative development in the modern manufacturing industry in Guangdong Province,the construction of open bases ...Based on the theory of collaborative innovation and the triple helix theory combined with the needs for innovative development in the modern manufacturing industry in Guangdong Province,the construction of open bases as education carriers by the governments was explored in terms of implement joint training for postgraduates in engineering through the integration of science-education and industry-education,to improve the practical innovation ability of postgraduates in engineering.The integration training mode has significantly improved the effectiveness of collaborative education and innovation,and it has become an important talent and intellectual support for Guangdong’s modern manufacturing industry.It has further advanced the theory and practice of joint training conducted by governments,industries,universities,and scientific research institutes.展开更多
The key to guaranteeing the quality of engineering graduate cultivation lies in establishing a dual mentorship model,involving both,universities and enterprises.By analyzing the existing problems in dual mentorship fo...The key to guaranteeing the quality of engineering graduate cultivation lies in establishing a dual mentorship model,involving both,universities and enterprises.By analyzing the existing problems in dual mentorship for engineering graduates,the open base for joint graduate cultivation in Foshan is taken as an example.Under the“2+2”diversified mentoring model constructed for engineering practice cultivation,an open base guarantees the implementation of the diversified mentoring model,while the diversified mentoring model improves the effectiveness of collaborative education between universities and enterprises.Strengthening the qualification examination of collaborative education and reinforcing the academic ability training of enterprise mentors are proposed as strategies for the problems faced in the implementation.展开更多
Taking college mathematics as an example,a questionnaire was designed for college mathematics teachers and students to fully comprehend the teaching situation.This paper mainly discusses the problems existing in the t...Taking college mathematics as an example,a questionnaire was designed for college mathematics teachers and students to fully comprehend the teaching situation.This paper mainly discusses the problems existing in the teaching of college mathematics and proposes the strategy of integrating PBL with curriculum ideological and political elements in college mathematics,so as to change the teaching process and improve the teaching quality.展开更多
The flawed engineering practice is considered the main factor that is affecting to the development quality of engineering postgraduates.Taking Foshan Base as an example,this paper has analyzed the operational pattern,...The flawed engineering practice is considered the main factor that is affecting to the development quality of engineering postgraduates.Taking Foshan Base as an example,this paper has analyzed the operational pattern,practice teaching model,and internal governance system of the open-ended base as a new system for engineering practice and proposed several suggestions for the reformation of engineering postgraduates based on the construction effect.展开更多
Indoor air pollution resulting from volatile organic compounds(VOCs),especially formaldehyde,is a significant health concern needed to predict indoor formaldehyde concentration(Cf)in green intelligent building design....Indoor air pollution resulting from volatile organic compounds(VOCs),especially formaldehyde,is a significant health concern needed to predict indoor formaldehyde concentration(Cf)in green intelligent building design.This study develops a thermal and wet coupling calculation model of porous fabric to account for the migration of formaldehyde molecules in indoor air and cotton,silk,and polyester fabric with heat flux in Harbin,Beijing,Xi’an,Shanghai,Guangzhou,and Kunming,China.The time-by-time indoor dry-bulb temperature(T),relative humidity(RH),and Cf,obtained from verified simulations,were collated and used as input data for the long short-term memory(LSTM)of the deep learning model that predicts indoor multivariate time series Cf from the secondary source effects of indoor fabrics(adsorption and release of formaldehyde).The trained LSTM model can be used to predict multivariate time series Cf at other emission times and locations.The LSTM-based model also predicted Cf with mean absolute percentage error(MAPE),symmetric mean absolute percentage error(SMAPE),mean absolute error(MAE),mean square error(MSE),and root mean square error(RMSE)that fell within 10%,10%,0.5,0.5,and 0.8,respectively.In addition,the characteristics of the input dataset,model parameters,the prediction accuracy of different indoor fabrics,and the uncertainty of the data set are analyzed.The results show that the prediction accuracy of single data set input is higher than that of temperature and humidity input,and the prediction accuracy of LSTM is better than recurrent neural network(RNN).The method’s feasibility was established,and the study provides theoretical support for guiding indoor air pollution control measures and ensuring human health and safety.展开更多
Background Breast cancer has the highest prevalence among all cancers in women globally.The classification of histopathological images in the diagnosis of breast cancers is an area of clinical concern.In computer-aide...Background Breast cancer has the highest prevalence among all cancers in women globally.The classification of histopathological images in the diagnosis of breast cancers is an area of clinical concern.In computer-aided diagnosis,most traditional classification models use a single network to extract features,although this approach has significant limitations.Moreover,many networks are trained and optimized on patient-level datasets,ignoring lower-level data labels.Methods This paper proposed a deep ensemble model based on image-level labels for the binary classification of breast histopathological images of benign and malignant lesions.First,the BreaKHis dataset was randomly divided into training,validation,and test sets.Then,data augmentation techniques were used to balance the numbers of benign and malignant samples.Third,based on their transfer learning performance and the complementarity between networks,VGG16,Xception,ResNet50,and DenseNet201 were selected as base classifiers.Results In a ensemble network model with accuracy as the weight,the image-level binary classification achieved an accuracy of 98.90%.To verify the capabilities of our method,it was experimentally compared with the latest transformer and multilayer perception(MLP)models on the same dataset.Our ensemble model showed a 5%-20%advantage,emphasizing its far-reaching abilities in classification tasks.Conclusions This research focuses on improving the performance of a classification model with an ensemble algorithm.Transfer learning has an essential role in classification of small datasets,improving training speed and accuracy.Our model may outperform many existing approaches with respect to accuracy and has applications in the field of auxiliary medical diagnosis.展开更多
In order to overcome the problems of power flow control and fault current limiting in multi-terminal high voltage direct current(MTDC)grids,this paper proposes a modular multi-terminal DC power flow controller(MM-DCPF...In order to overcome the problems of power flow control and fault current limiting in multi-terminal high voltage direct current(MTDC)grids,this paper proposes a modular multi-terminal DC power flow controller(MM-DCPFC)with fault current limiting function.The topology structure,operation principle,and equivalent circuit of MM-DCPFC are introduced,and such a structure has the advantages of modularity and scalability.The power balance mechanism is studied and a hierarchical power balance control strategy is proposed.The results show that MM-DCPFC can achieve internal power exchange,which avoids the use of external power supply.The fault characteristics of MM-DCPFC are analyzed,fault current limiting and self-protection methods are proposed,and the factors affecting the current limiting capability are studied.The simulation models are established in PLECS,and the simulation results verify the effectiveness of MM-DCPFC in power flow control,fault current limiting,and scalability.In addition,a prototype is developed to validate the function and control method of MM-DCPFC.展开更多
To establish a data literacy evaluation system for social science scholars is a part of transformation to data-intensive scientific research paradigm in social science.Based on the literature review of data literacy a...To establish a data literacy evaluation system for social science scholars is a part of transformation to data-intensive scientific research paradigm in social science.Based on the literature review of data literacy and survey of social science data management features,this paper analyzed the elements of data literacy of social science scholars.The data literacy of social science scholars ma inly consists of data awareness level,data discovery and access ability,data management and organization ability,data processing and analysis ability,data utilization and preservation ability,and data ethics level.Each of these primary indexes has several secondary indexes.It constructed the evaluation system of social science scholars data literacy.The weights of the primary and secondary indexes in the system were calculated by applying AHP.The data literacy evaluation system for social science scholars can provide a reference for assessing and promoting social science scholars'data literacy ability in China.展开更多
Cisplatin is a widely applied therapeutics for the treatment of osteosarcoma.However,its clinical applications have been hindered due to low efficacy and bioavailability,and particularly frequent emergence of reactive...Cisplatin is a widely applied therapeutics for the treatment of osteosarcoma.However,its clinical applications have been hindered due to low efficacy and bioavailability,and particularly frequent emergence of reactive oxygen species(ROS)-decrease induced drug resistance.The transcription factor NF-E2-related factor 2(Nrf2)is increased in cancer patients and induces poor outcome in osteosarcoma treatment,making it a novel target to improve the efficacy of chemotherapy.Herein,a hyaluronidase-responsive multi-layer liposome(HLCN)for co-delivery of cisplatin and Nrf2 siRNA(siNrf2)is developed.It is composed of Vpr52-96 modified liposome covered with hyaluronic acid(HA).HLCN selectively accumulates in osteosarcoma by targeting tumor-specific CD44,and can be degraded by endosomal hyaluronidase to generate cationic liposome,which promotes the endosomal escape of Vpr52-96,cisplatin and siNrf2.HLCN can effectively decrease Nrf2 level,promote ROS generation,activate itochondrial apoptotic pathway,and consequently enhance anticancer efficacy of cisplatin.Particularly,HLCN shows high cytotoxicity to osteosarcoma cells with an IC50 value of about 1µM,which is four-fold lower than liposomal cisplatin(IC504µM),indicating that Nrf2 silence can significantly improve cisplatin sensitivity in cancer cells.Importantly,HLCN can remarkably inhibit tumor growth in the xenograft osteosarcoma mice with minimal systemic adverse effects.Therefore,this novel stimuli-responsive combination therapy of cisplatin and siNrf2 provides a promising strategy for the treatment of osteosarcoma.展开更多
Owing to their high surface area,stable structure and easy fabrication,composite nanomaterials with encapsulation structures have attracted considerable research interest as sensing materials to detect volatile organi...Owing to their high surface area,stable structure and easy fabrication,composite nanomaterials with encapsulation structures have attracted considerable research interest as sensing materials to detect volatile organic compounds.Herein,a hydrothermal route is designed to prepare foam shapedα-MoO_(3)@SnS_(2)nanosheets that exhibit excellent sensing performance for triethylamine(TEA).The developed sensor,based onα-MoO_(3)@SnS_(2)nanosheets,displays a high response of 114.9 for 100 ppm TEA at a low working temperature of 175℃with sensitivity higher than many other reported sensors.In addition,the device shows a wide concentration detection range(from 500 ppb to 500 ppm),good stability after exposure to air for 80 days,and excellent selectivity.The superior sensing characteristics of the developed sensor are attributed to the high crystallinity ofα-MoO_(3)/SnS_(2),excessive and accessible active sites provided by the good permeability of porous SnS_(2)shells,and the excellent conductivity of the encapsulation heterojunction structure.Thus,the foam shapedα-MoO_(3)@SnS_(2)nanosheets presented herein have promising practical applications in TEA gas sensing devices.展开更多
Alfalfa is a perennial herbaceous forage legume that is remarkably and negatively affected by monocropping.However,the contribution of the changes in bacterial communities to soil sickness in alfalfa have not been elu...Alfalfa is a perennial herbaceous forage legume that is remarkably and negatively affected by monocropping.However,the contribution of the changes in bacterial communities to soil sickness in alfalfa have not been elucidated.Therefore,we investigated bacterial community structures in response to monocropped alfalfa along the chronosequence.Continuous cropping remarkably reduced bacterial alpha diversity and altered community structures,and soil pH,total P and available P were strongly associated with the changes of bacterial diversity and community structures.Intriguingly,10 years of monocropped alfalfa might be a demarcation point separating soil bacterial community structures into two obvious groups that containing soil samples collected in less and more than 10 years.The relative abundances of copiotrophic bacteria of Actinobacteria and Gammaproteobacteria significantly increased with the extension of continuous cropping years,while the oligotrophic bacteria of Armatimonadetes,Chloroflexi,Firmicutes and Gemmatimonadetes showed the opposite changing patterns.Among those altered phyla,Actinobacteria,Chloroflexi,Alphaproteobacteria and Acidobacteria were the most important bacteria which contributed 50.86%of the community variations. Additionally, the relative abundances of nitrogen fixation bacteria ofBradyrhizobium and Mesorhizobium obviously increased with continuous cropping years, while theabundances of Arthrobacter, Bacillus, Burkholderiaceae and Microbacterium with potential functionsof solubilizing phosphorus and potassium remarkably decreased after long-term continuouscropping. Furthermore, bacterial cooccurrence patterns were significantly influenced by continuouscropping years, with long-term monocropped alfalfa simplifying the complexity of the cooccurrencenetworks. These findings enhanced our understandings and provided references for forecasting howsoil bacterial communities responds to monocropped alfalfa.展开更多
基金supported by the National Natural Science Foundation of China(Grant Nos.62022089,12174439,11874405,52272135,62274010,61971035)the National Key Research and Development Program of China(Grant Nos.2019YFA0308000,2021YFA1401300,2021YFA1401800,2018YFA0704200,2021YFA1400100,2020YFA0308800)+2 种基金Chongqing Outstanding Youth Fund(Grant No.2021ZX0400005)Beijing Institute of Technology Science and Technology Innovation Program Innovative Talent Science and Technology Funding SpecialProgram(No.2022CX01022)the Strategic Priority Research Program(B)of the Chinese Academy of Sciences(Grant Nos.XDB33000000)。
文摘Moiré superlattices are formed when overlaying two materials with a slight mismatch in twist angle or lattice constant. They provide a novel platform for the study of strong electronic correlations and non-trivial band topology, where emergent phenomena such as correlated insulating states, unconventional superconductivity, and quantum anomalous Hall effect are discovered. In this review, we focus on the semiconducting transition metal dichalcogenides(TMDs) based moiré systems that host intriguing flat-band physics. We first review the exfoliation methods of two-dimensional materials and the fabrication technique of their moiré structures. Secondly, we overview the progress of the optically excited moiré excitons, which render the main discovery in the early experiments on TMD moiré systems. We then introduce the formation mechanism of flat bands and their potential in the quantum simulation of the Hubbard model with tunable doping, degeneracies, and correlation strength. Finally, we briefly discuss the challenges and future perspectives of this field.
文摘Defined as an association of acute cervical pain and calcifications in the peri-odontoid space, crowned dens syndrome (CDS) is a major imaging manifestation of “coronary”. CDS is a rare but under-recognized cause of severe neck pain in older adults. As such, it is often misdiagnosed. So, we review the literature with particular attention to the clinical and radiological aspects of this syndrome.
基金supported by the National Scientific Foundation of China(No.61974050,61704061,51805184,61974049)Key Laboratory of Non-ferrous Metals and New Materials Processing Technology of Ministry of Education/Guangxi Key Laboratory of Optoelectronic Materials and Devices open Fund(20KF-9)+2 种基金the Natural Science Foundation of Hunan Province of China(No.2018TP2003)Excellent youth project of Hunan Provincial Department of Education(No.18B111)State Key Laboratory of Crop Germplasm Innovation and Resource Utilization(No.17KFXN02).The authors thank the technical support from Analytical and Testing Center at Huazhong University of Science and Technology.
文摘Increasing both clean water and green energy demands for survival and development are the grand challenges of our age.Here,we successfully fabricate a novel multifunctional 3D graphene-based catalytic membrane(3D-GCM)with active metal nanoparticles(AMNs)loading for simultaneously obtaining the water purification and clean energy generation,via a“green”one-step laser scribing technology.The as-prepared 3D-GCM shows high porosity and uniform distribution with AMNs,which exhibits high permeated fluxes(over 100 L m^(−2) h^(−1))and versatile super-adsorption capacities for the removal of tricky organic pollutants from wastewater under ultra-low pressure-driving(0.1 bar).After adsorption saturating,the AMNs in 3D-GCM actuates the advanced oxidization process to self-clean the fouled membrane via the catalysis,and restores the adsorption capacity well for the next time membrane separation.Most importantly,the 3D-GCM with the welding of laser scribing overcomes the lateral shear force damaging during the long-term separation.Moreover,the 3D-GCM could emit plentiful of hot electrons from AMNs under light irradiation,realizing the membrane catalytic hydrolysis reactions for hydrogen energy generation.This“green”precision manufacturing with laser scribing technology provides a feasible technology to fabricate high-efficient and robust 3D-GCM microreactor in the tricky wastewater purification and sustainable clean energy production as well.
基金Project supported by the National Natural Science Foundation of China(Grant No.61704061)
文摘Two-dimensional(2D) materials, such as graphene, transition metal dichalcogenides(TMDs), black phosphorus(BP),and related derivatives, have attracted great attention due to their advantages of flexibility, strong light–matter interaction,broadband absorption, and high carrier mobility, and have become a powerful contender for next-generation infrared photodetectors. However, since the thickness of 2D materials is on the order of nanometers, the absorption of 2D materials is very weak, which limits the detection performance of 2D materials-based infrared photodetectors. In order to solve this problem, scientific researchers have tried to use optimized device structures to combine with 2D materials for improving the performance of infrared photodetectors. In this review, we review the progress of room-temperature infrared photodetectors with hybrid structure based on 2D materials in recent years, focusing mainly on 2D–nD(n = 0, 1, 2) heterostructures, the integration between 2D materials and on-chip or plasmonic structure. Finally, we summarize the current challenges and point out the future development direction.
文摘We developed a computational framework to identify common gene association sub-network. This framework combines graphical lasso model, graph product and a replicator equation based clique solver. We applied this method to find common stress responsive sub-networks from two related Deinococcus-Thermus bacterial species.
基金The Guangdong Provincial Postgraduate Education Innovation Program and the Guangdong Provincial Philosophy and Social Science Planning 2022“Talent Research Special,”“Research on the Institutional System of High-quality Engineering Master’s Training Bases in the Deep Integration of Production and Education”(Project Number:2021JGXM103)。
文摘Based on the theory of collaborative innovation and the triple helix theory combined with the needs for innovative development in the modern manufacturing industry in Guangdong Province,the construction of open bases as education carriers by the governments was explored in terms of implement joint training for postgraduates in engineering through the integration of science-education and industry-education,to improve the practical innovation ability of postgraduates in engineering.The integration training mode has significantly improved the effectiveness of collaborative education and innovation,and it has become an important talent and intellectual support for Guangdong’s modern manufacturing industry.It has further advanced the theory and practice of joint training conducted by governments,industries,universities,and scientific research institutes.
基金supported by Guangdong Graduate Innovation Program(Project Number:2021JGXM103)the 2022“Talent Research Project”of Guangdong Philosophy and Social Science Planning.
文摘The key to guaranteeing the quality of engineering graduate cultivation lies in establishing a dual mentorship model,involving both,universities and enterprises.By analyzing the existing problems in dual mentorship for engineering graduates,the open base for joint graduate cultivation in Foshan is taken as an example.Under the“2+2”diversified mentoring model constructed for engineering practice cultivation,an open base guarantees the implementation of the diversified mentoring model,while the diversified mentoring model improves the effectiveness of collaborative education between universities and enterprises.Strengthening the qualification examination of collaborative education and reinforcing the academic ability training of enterprise mentors are proposed as strategies for the problems faced in the implementation.
基金Innovation Project of Outstanding Talents Training of West Anhui College(Project Number:WXXY2020002)Anhui Province Demonstration Grassroots Teaching Organization Project(Project Number:2020SJSFJX22403)+2 种基金Curriculum Ideological and Political Construction Research Project of Anhui Province(Project Number:2020KCSZYJXM253)Ideological and Political Demonstration Course of Anhui Province(Project Number:2020SZSFKC0940)Ideological and Political Demonstration Course of Anhui Province(Project Number:2020SZSFKC0907)。
文摘Taking college mathematics as an example,a questionnaire was designed for college mathematics teachers and students to fully comprehend the teaching situation.This paper mainly discusses the problems existing in the teaching of college mathematics and proposes the strategy of integrating PBL with curriculum ideological and political elements in college mathematics,so as to change the teaching process and improve the teaching quality.
基金supported by Guangdong Province Graduate Education Innovation Program(2021JGXM103)the 2020“Research on Talents”Project by the Guangdong Planning Office of Philosophy and Social Science.
文摘The flawed engineering practice is considered the main factor that is affecting to the development quality of engineering postgraduates.Taking Foshan Base as an example,this paper has analyzed the operational pattern,practice teaching model,and internal governance system of the open-ended base as a new system for engineering practice and proposed several suggestions for the reformation of engineering postgraduates based on the construction effect.
基金This work was supported by the National Natural Science Foundation of China(52278129)the Key Scientific and Technological Innovation Team of Shaanxi Province(2023-CX-TD-29)Xiaohu Yang greatly acknowledged the support by the K.C.Wong Education Foundation.
文摘Indoor air pollution resulting from volatile organic compounds(VOCs),especially formaldehyde,is a significant health concern needed to predict indoor formaldehyde concentration(Cf)in green intelligent building design.This study develops a thermal and wet coupling calculation model of porous fabric to account for the migration of formaldehyde molecules in indoor air and cotton,silk,and polyester fabric with heat flux in Harbin,Beijing,Xi’an,Shanghai,Guangzhou,and Kunming,China.The time-by-time indoor dry-bulb temperature(T),relative humidity(RH),and Cf,obtained from verified simulations,were collated and used as input data for the long short-term memory(LSTM)of the deep learning model that predicts indoor multivariate time series Cf from the secondary source effects of indoor fabrics(adsorption and release of formaldehyde).The trained LSTM model can be used to predict multivariate time series Cf at other emission times and locations.The LSTM-based model also predicted Cf with mean absolute percentage error(MAPE),symmetric mean absolute percentage error(SMAPE),mean absolute error(MAE),mean square error(MSE),and root mean square error(RMSE)that fell within 10%,10%,0.5,0.5,and 0.8,respectively.In addition,the characteristics of the input dataset,model parameters,the prediction accuracy of different indoor fabrics,and the uncertainty of the data set are analyzed.The results show that the prediction accuracy of single data set input is higher than that of temperature and humidity input,and the prediction accuracy of LSTM is better than recurrent neural network(RNN).The method’s feasibility was established,and the study provides theoretical support for guiding indoor air pollution control measures and ensuring human health and safety.
基金supported by the National Natural Science Foundation of China(Grant No.61806047).
文摘Background Breast cancer has the highest prevalence among all cancers in women globally.The classification of histopathological images in the diagnosis of breast cancers is an area of clinical concern.In computer-aided diagnosis,most traditional classification models use a single network to extract features,although this approach has significant limitations.Moreover,many networks are trained and optimized on patient-level datasets,ignoring lower-level data labels.Methods This paper proposed a deep ensemble model based on image-level labels for the binary classification of breast histopathological images of benign and malignant lesions.First,the BreaKHis dataset was randomly divided into training,validation,and test sets.Then,data augmentation techniques were used to balance the numbers of benign and malignant samples.Third,based on their transfer learning performance and the complementarity between networks,VGG16,Xception,ResNet50,and DenseNet201 were selected as base classifiers.Results In a ensemble network model with accuracy as the weight,the image-level binary classification achieved an accuracy of 98.90%.To verify the capabilities of our method,it was experimentally compared with the latest transformer and multilayer perception(MLP)models on the same dataset.Our ensemble model showed a 5%-20%advantage,emphasizing its far-reaching abilities in classification tasks.Conclusions This research focuses on improving the performance of a classification model with an ensemble algorithm.Transfer learning has an essential role in classification of small datasets,improving training speed and accuracy.Our model may outperform many existing approaches with respect to accuracy and has applications in the field of auxiliary medical diagnosis.
基金supported in part by National Key R&D Program of China(No.2018YFB0904600)National Natural Science Foundation of China(No.51807053)。
文摘In order to overcome the problems of power flow control and fault current limiting in multi-terminal high voltage direct current(MTDC)grids,this paper proposes a modular multi-terminal DC power flow controller(MM-DCPFC)with fault current limiting function.The topology structure,operation principle,and equivalent circuit of MM-DCPFC are introduced,and such a structure has the advantages of modularity and scalability.The power balance mechanism is studied and a hierarchical power balance control strategy is proposed.The results show that MM-DCPFC can achieve internal power exchange,which avoids the use of external power supply.The fault characteristics of MM-DCPFC are analyzed,fault current limiting and self-protection methods are proposed,and the factors affecting the current limiting capability are studied.The simulation models are established in PLECS,and the simulation results verify the effectiveness of MM-DCPFC in power flow control,fault current limiting,and scalability.In addition,a prototype is developed to validate the function and control method of MM-DCPFC.
基金the funding by the National Natural Science Foundation of China(61704061 and 61974050)the financial support from the National Natural Science Foundation of China(11674119,11690030,and 11690032)+1 种基金the financial support from the National Natural Science Foundation of China(61905266)Shanghai Sailing Program(19YF1454600)。
基金This research is supported by Chinese National Social Science Key Grant Funding"Big Data-Driven Cloud Platform Construction and Intelligent Service of Science and Education Eval-uation".
文摘To establish a data literacy evaluation system for social science scholars is a part of transformation to data-intensive scientific research paradigm in social science.Based on the literature review of data literacy and survey of social science data management features,this paper analyzed the elements of data literacy of social science scholars.The data literacy of social science scholars ma inly consists of data awareness level,data discovery and access ability,data management and organization ability,data processing and analysis ability,data utilization and preservation ability,and data ethics level.Each of these primary indexes has several secondary indexes.It constructed the evaluation system of social science scholars data literacy.The weights of the primary and secondary indexes in the system were calculated by applying AHP.The data literacy evaluation system for social science scholars can provide a reference for assessing and promoting social science scholars'data literacy ability in China.
基金This work was supported by the National Key Research and Development Program of China(No.2019YFA0802800)the Key Research and Development Program of Jiangsu Provincial Department of Science and Technology of China(No.BE2019002)+5 种基金the Medical Key Young Talents Programs of Jiangsu Province(No.QNRC2016915)the“The Six Top Talents”of Jiangsu Province(No.WSW-112)the Fundamental Research Funds for the Central Universities(No.021314380120)the National Key Research and Development Program of China(No.2018YFB1105400)National Natural Science Foundation of China(No.21708019)Natural Science Foundation of Jiangsu(No.BK20170987).
文摘Cisplatin is a widely applied therapeutics for the treatment of osteosarcoma.However,its clinical applications have been hindered due to low efficacy and bioavailability,and particularly frequent emergence of reactive oxygen species(ROS)-decrease induced drug resistance.The transcription factor NF-E2-related factor 2(Nrf2)is increased in cancer patients and induces poor outcome in osteosarcoma treatment,making it a novel target to improve the efficacy of chemotherapy.Herein,a hyaluronidase-responsive multi-layer liposome(HLCN)for co-delivery of cisplatin and Nrf2 siRNA(siNrf2)is developed.It is composed of Vpr52-96 modified liposome covered with hyaluronic acid(HA).HLCN selectively accumulates in osteosarcoma by targeting tumor-specific CD44,and can be degraded by endosomal hyaluronidase to generate cationic liposome,which promotes the endosomal escape of Vpr52-96,cisplatin and siNrf2.HLCN can effectively decrease Nrf2 level,promote ROS generation,activate itochondrial apoptotic pathway,and consequently enhance anticancer efficacy of cisplatin.Particularly,HLCN shows high cytotoxicity to osteosarcoma cells with an IC50 value of about 1µM,which is four-fold lower than liposomal cisplatin(IC504µM),indicating that Nrf2 silence can significantly improve cisplatin sensitivity in cancer cells.Importantly,HLCN can remarkably inhibit tumor growth in the xenograft osteosarcoma mice with minimal systemic adverse effects.Therefore,this novel stimuli-responsive combination therapy of cisplatin and siNrf2 provides a promising strategy for the treatment of osteosarcoma.
基金financially supported by the National Natural Science Foundation of China(No.51227804)funded by the Postdoctoral Scientific Research Foundation of Qingdao,National College Students Innovation and Entrepreneurship Training Program of China(No.G201911065028)+3 种基金College Students Innovation and Entrepreneurship Training Program of Qingdao University(Nos.X201911065058,X202011065056)Natural Science Foundation of Shandong Province(No.ZR2019YQ24)Taishan Scholars and Young Experts Program of Shandong Province(No.tsqn202103057)the Qingchuang Talents Induction Program of Shandong Higher Education Institution(Research and Innovation Team of Structural-Functional Polymer Composites)。
文摘Owing to their high surface area,stable structure and easy fabrication,composite nanomaterials with encapsulation structures have attracted considerable research interest as sensing materials to detect volatile organic compounds.Herein,a hydrothermal route is designed to prepare foam shapedα-MoO_(3)@SnS_(2)nanosheets that exhibit excellent sensing performance for triethylamine(TEA).The developed sensor,based onα-MoO_(3)@SnS_(2)nanosheets,displays a high response of 114.9 for 100 ppm TEA at a low working temperature of 175℃with sensitivity higher than many other reported sensors.In addition,the device shows a wide concentration detection range(from 500 ppb to 500 ppm),good stability after exposure to air for 80 days,and excellent selectivity.The superior sensing characteristics of the developed sensor are attributed to the high crystallinity ofα-MoO_(3)/SnS_(2),excessive and accessible active sites provided by the good permeability of porous SnS_(2)shells,and the excellent conductivity of the encapsulation heterojunction structure.Thus,the foam shapedα-MoO_(3)@SnS_(2)nanosheets presented herein have promising practical applications in TEA gas sensing devices.
基金This work was supported by grants from National Key Research and Development Program of China(2017YFD0200604)Key Research Program of Frontier Sciences,CAS(ZDBS-LYDQC017)+5 种基金the National Natural Science Foundation of China(41671251)Earmarked Fund for China Agriculture Research System(CR34)Heilongjiang Provincial Natural Science Foundation of China(D2018009)the Grass-field Rotation Scientist Studio of Heilongjiang Province(202004)Outstanding Youth Fund of Heilongjiang Academy of Agricultural Sciences(2020JCQN003)Youth Innovation Promotion Association,CAS(2017276).
文摘Alfalfa is a perennial herbaceous forage legume that is remarkably and negatively affected by monocropping.However,the contribution of the changes in bacterial communities to soil sickness in alfalfa have not been elucidated.Therefore,we investigated bacterial community structures in response to monocropped alfalfa along the chronosequence.Continuous cropping remarkably reduced bacterial alpha diversity and altered community structures,and soil pH,total P and available P were strongly associated with the changes of bacterial diversity and community structures.Intriguingly,10 years of monocropped alfalfa might be a demarcation point separating soil bacterial community structures into two obvious groups that containing soil samples collected in less and more than 10 years.The relative abundances of copiotrophic bacteria of Actinobacteria and Gammaproteobacteria significantly increased with the extension of continuous cropping years,while the oligotrophic bacteria of Armatimonadetes,Chloroflexi,Firmicutes and Gemmatimonadetes showed the opposite changing patterns.Among those altered phyla,Actinobacteria,Chloroflexi,Alphaproteobacteria and Acidobacteria were the most important bacteria which contributed 50.86%of the community variations. Additionally, the relative abundances of nitrogen fixation bacteria ofBradyrhizobium and Mesorhizobium obviously increased with continuous cropping years, while theabundances of Arthrobacter, Bacillus, Burkholderiaceae and Microbacterium with potential functionsof solubilizing phosphorus and potassium remarkably decreased after long-term continuouscropping. Furthermore, bacterial cooccurrence patterns were significantly influenced by continuouscropping years, with long-term monocropped alfalfa simplifying the complexity of the cooccurrencenetworks. These findings enhanced our understandings and provided references for forecasting howsoil bacterial communities responds to monocropped alfalfa.
