Perovskite solar cells(PSCs)have emerged as a promising photovoltaic technology because of their high light absorption coefficient,long carrier diffusion distance,and tunable bandgap.However,PSCs face challenges such ...Perovskite solar cells(PSCs)have emerged as a promising photovoltaic technology because of their high light absorption coefficient,long carrier diffusion distance,and tunable bandgap.However,PSCs face challenges such as hysteresis effects and stability issues.In this study,we introduced a novel approach to improve film crystallization by leveraging 4-tert-butylpyridine(TBP)molecules,thereby enhancing the performance and stability of PSCs.Our findings demonstrate the effective removal of PbI_(2)from the perovskite surface through strong coordination with TBP molecules.Additionally,by carefully adjusting the concentration of the TBP solution,we achieved enhanced film crystallinity without disrupting the perovskite structure.The TBP-treated perovskite films exhibit a low defect density,improved crystallinity,and improved carrier lifetime.As a result,the PSCs manufactured with TBP treatment achieve power conversion efficiency(PCE)exceeding 24%.Moreover,we obtained the PCE of 21.39%for the 12.25 cm^(2)module.展开更多
The expansion of urban scale is the inevitable outcome during urbanization,and it has exacerbated the contradiction between urbanization,and resources and environment. Based on the environmental indicator data related...The expansion of urban scale is the inevitable outcome during urbanization,and it has exacerbated the contradiction between urbanization,and resources and environment. Based on the environmental indicator data related to the urbanization of Chongqing Municipality during the period 2000- 2012,this article uses regression analysis and ARIMA forecasting model to study the impact of rapid urbanization on the resources and environment. It is found that urbanization is significantly and positively correlated with the built-up area,the annual electricity consumption,domestic waste water discharge amount,and industrial waste gas emission,but significantly and negatively correlated with the industrial solid waste discharge amount; before 2020,along with the improvement of the level of urbanization in Chongqing,the degree of deterioration of the environment and resources will be further increased; after 2020,urbanization and ecological environment will be in a new round of balance,and the resources and environment will be improved.展开更多
Epithelial-mesenchymal transition(EMT)and proliferation play important roles in epithelial cancer formation and progression,but what molecules and how they trigger EMT is largely unknown.Here we performed spatial tran...Epithelial-mesenchymal transition(EMT)and proliferation play important roles in epithelial cancer formation and progression,but what molecules and how they trigger EMT is largely unknown.Here we performed spatial transcriptomic and functional analyses on samples of multistage esophageal squamous-cell carcinoma(ESCC)from mice and humans to decipher these critical issues.By investigating spatiotemporal gene expression patterns and cell–cell interactions,we demonstrated that the aberrant epithelial cell interaction via EFNB1-EPHB4 triggers EMT and cell cycle mediated by downstream SRC/ERK/AKT signaling.The aberrant epithelial cell interaction occurs within the basal layer at early precancerous lesions,which expands to the whole epithelial layer and strengthens along the cancer development and progression.Functional analysis revealed that the aberrant EFNB1-EPHB4 interaction is caused by overexpressedΔNP63 due to TP53 mutation,the culprit in human ESCC tumorigenesis.Our results shed new light on the role of TP53-TP63/ΔNP63-EFNB1-EPHB4 axis in EMT and cell proliferation in epithelial cancer formation.展开更多
This paper investigates the combination of laser-induced breakdown spectroscopy〔LIBS〕and deep convolutional neural networks〔CNNs〕to classify copper concentrate samples using pretrained CNN models through transfer ...This paper investigates the combination of laser-induced breakdown spectroscopy〔LIBS〕and deep convolutional neural networks〔CNNs〕to classify copper concentrate samples using pretrained CNN models through transfer learning.Four pretrained CNN models were compared.The LIBS profiles were augmented into 2D matrices.Three transfer learning methods were tried.All the models got a high classification accuracy of>92%,with the highest at 96.2%for VGG16.These results suggested that the knowledge learned from machine vision by the CNN models can accelerate the training process and reduce the risk of overfitting.The results showed that deep CNN and transfer learning have great potential for the classification of copper concentrates by portable LIBS.展开更多
This study investigates aberrant DNA methylations as potential diagnosis and prognosis markers for esophageal squamous-cell carcinoma(ESCC),which if diagnosed at advanced stages has<30%five-year survival rate.Compa...This study investigates aberrant DNA methylations as potential diagnosis and prognosis markers for esophageal squamous-cell carcinoma(ESCC),which if diagnosed at advanced stages has<30%five-year survival rate.Comparing genome-wide methylation sites of 91 ESCC and matched adjacent normal tissues,we identified 35,577 differentially methylated CpG sites(DMCs)and characterized their distribution patterns.展开更多
基金financial support from various entities,including the Foundation of Anhui Science and Technology University[HCYJ202201]the Anhui Science and Technology University’s Student Innovation and Entrepreneurship Training Program[S202310879115,202310879053]+4 种基金the Key Project of Natural Science Research in Anhui Science and Technology University[2021ZRZD07]the Chuzhou Science and Technology Project[2021GJ002]the Anhui Province Key Research and Development Program[202304a05020085]the Natural Science Research Project of Anhui Educational Committee[2023AH051877]The Opening Project of State Key Laboratory of Advanced Technology for Float Glass[2020KF06,2022KF06]。
文摘Perovskite solar cells(PSCs)have emerged as a promising photovoltaic technology because of their high light absorption coefficient,long carrier diffusion distance,and tunable bandgap.However,PSCs face challenges such as hysteresis effects and stability issues.In this study,we introduced a novel approach to improve film crystallization by leveraging 4-tert-butylpyridine(TBP)molecules,thereby enhancing the performance and stability of PSCs.Our findings demonstrate the effective removal of PbI_(2)from the perovskite surface through strong coordination with TBP molecules.Additionally,by carefully adjusting the concentration of the TBP solution,we achieved enhanced film crystallinity without disrupting the perovskite structure.The TBP-treated perovskite films exhibit a low defect density,improved crystallinity,and improved carrier lifetime.As a result,the PSCs manufactured with TBP treatment achieve power conversion efficiency(PCE)exceeding 24%.Moreover,we obtained the PCE of 21.39%for the 12.25 cm^(2)module.
基金Supported by the Fundamental Research Funds for the Central Universities(SWU1409276)National Undergraduate Innovative Training Program(201310635072)
文摘The expansion of urban scale is the inevitable outcome during urbanization,and it has exacerbated the contradiction between urbanization,and resources and environment. Based on the environmental indicator data related to the urbanization of Chongqing Municipality during the period 2000- 2012,this article uses regression analysis and ARIMA forecasting model to study the impact of rapid urbanization on the resources and environment. It is found that urbanization is significantly and positively correlated with the built-up area,the annual electricity consumption,domestic waste water discharge amount,and industrial waste gas emission,but significantly and negatively correlated with the industrial solid waste discharge amount; before 2020,along with the improvement of the level of urbanization in Chongqing,the degree of deterioration of the environment and resources will be further increased; after 2020,urbanization and ecological environment will be in a new round of balance,and the resources and environment will be improved.
基金funded by the National Natural Science Foundation of China(81988101 to D.L.and to C.W.)National Key Research and Development Program of China(2021YFC2501000 to D.L.)+1 种基金Medical and Health Technology Innovation Project of Chinese Academy of Medical Sciences(2021-I2M-1-013 to D.L.and to C.W.,2022-I2M-2-003 and 2022-I2M-JB-002 to D.L.)Beijing Outstanding Young Scientist Program(BJJWZYJH01201910023027 to C.W.).
文摘Epithelial-mesenchymal transition(EMT)and proliferation play important roles in epithelial cancer formation and progression,but what molecules and how they trigger EMT is largely unknown.Here we performed spatial transcriptomic and functional analyses on samples of multistage esophageal squamous-cell carcinoma(ESCC)from mice and humans to decipher these critical issues.By investigating spatiotemporal gene expression patterns and cell–cell interactions,we demonstrated that the aberrant epithelial cell interaction via EFNB1-EPHB4 triggers EMT and cell cycle mediated by downstream SRC/ERK/AKT signaling.The aberrant epithelial cell interaction occurs within the basal layer at early precancerous lesions,which expands to the whole epithelial layer and strengthens along the cancer development and progression.Functional analysis revealed that the aberrant EFNB1-EPHB4 interaction is caused by overexpressedΔNP63 due to TP53 mutation,the culprit in human ESCC tumorigenesis.Our results shed new light on the role of TP53-TP63/ΔNP63-EFNB1-EPHB4 axis in EMT and cell proliferation in epithelial cancer formation.
基金supported by the Open Foundation of Key Laboratory of Laser Device Technology,China North Industries Group Corporation Limited(No.KLLDT202109)the National Natural Science Foundation of China(No.62175150)the Oceanic Interdisciplinary Program of Shanghai Jiao Tong University(No.SL2021ZD103)。
文摘This paper investigates the combination of laser-induced breakdown spectroscopy〔LIBS〕and deep convolutional neural networks〔CNNs〕to classify copper concentrate samples using pretrained CNN models through transfer learning.Four pretrained CNN models were compared.The LIBS profiles were augmented into 2D matrices.Three transfer learning methods were tried.All the models got a high classification accuracy of>92%,with the highest at 96.2%for VGG16.These results suggested that the knowledge learned from machine vision by the CNN models can accelerate the training process and reduce the risk of overfitting.The results showed that deep CNN and transfer learning have great potential for the classification of copper concentrates by portable LIBS.
基金Supported by National Natural Science Foundation of China(81988101 to D.L.and C.W.)National Science Fund for Distinguished Young Scholars(81725015 to C.W.)+2 种基金Chinese Academy Medical Sciences Innovation Fund for Medical Sciences(2021-I2M-1-013 to D.L.,C.W.and W.T.,2019-I2M-2-001 to D.L and C.W.)Beijing Outstanding Young Scientist Program(BJJWZYJH01201910023027 to C.W.)the National Key R&D Program of China(2021YFC2502000 to Y.L.).
文摘This study investigates aberrant DNA methylations as potential diagnosis and prognosis markers for esophageal squamous-cell carcinoma(ESCC),which if diagnosed at advanced stages has<30%five-year survival rate.Comparing genome-wide methylation sites of 91 ESCC and matched adjacent normal tissues,we identified 35,577 differentially methylated CpG sites(DMCs)and characterized their distribution patterns.
