The immunocytes microglia in the central nervous system （CNS） were reported to play a crucial role in neurodegeneration. As a member of P2 receptors family, purinoceptor P2Y6 has attracted much attention recently. P...The immunocytes microglia in the central nervous system （CNS） were reported to play a crucial role in neurodegeneration. As a member of P2 receptors family, purinoceptor P2Y6 has attracted much attention recently. Previous studies showed that purinoceptor P2Y6 mainly contributed to microglia activation and their later phagocytosis in CNS, while in immune system, it participated in the secretion of interleukin （IL）-8 from monocytes and macrocytes. So there raises a question： whether purinoceptor P2Y6 also takes part in neuroinflammation？ Thus, this review mainly concerns about the properties and roles of purinoceptor P2Y6, including （1） structure of purinoceptor P2Y6; （2） distribution and properties of purinoceptor P2Y6; （3） relationships between purinoceptor P2Y6 and microglia; （4） relationships between purinoceptor P2Y6 and immunoinflammation. It＇s proposed that purinoceptor P2Y6 may play a role in neuroinflammation in CNS, although further research is still required.展开更多
Eu3＋ activated Ca4Yt（SiO4）60 phosphors were prepared by combustion synthesis method, and their morphologies and lu- minescent properties were investigated. Field scanning electron microscopy （FSEM） confirmed that...Eu3＋ activated Ca4Yt（SiO4）60 phosphors were prepared by combustion synthesis method, and their morphologies and lu- minescent properties were investigated. Field scanning electron microscopy （FSEM） confirmed that the crystallite sizes of nanoparti- cles with narrow diameter ranging from 30 to 60 rim. The excitation spectra of CaaY6（SiO4）60：Etl3＋ showed that there existed two strong excitation bands at around 399 nm （TFo----~SL6） and 469 nm （TF0---＊SD2）, which were consistent with the output wavelengths of near-UV and blue LEDs, respectively. The emission spectra of Ca4Y6（SiO4）60：Eu3＋ were dominant by a red peak located at 614 nm due to the 5Do→7TF2 transition of Eu3＋. With the increase of Eu3＋concentration, the luminescence intensity of the red phosphor reached maximum and then decreased. The optimum concentration for Eug＋in Ca4Y6（SiO4）60 was 21 mol.%.展开更多
With advances in material science and a more in-depth understanding of device engineering,the power conversion efficiency(PCE)of solution-processed organic photovoltaic(OPV)cells have significantly boosted in the past...With advances in material science and a more in-depth understanding of device engineering,the power conversion efficiency(PCE)of solution-processed organic photovoltaic(OPV)cells have significantly boosted in the past few years.In 2019,a high PCE of 15.7%was achieved in the OPV cells adopting a wide bandgap polymer PM6 and a new emerging non-fullerene acceptor Y6.Such outstanding performance has attracted lots of research attention,driving considerable efforts to improve or take advantage of the high-performance PM6:Y6-based system.In this review,we first concentrate on the structural characteristics of PM6 and Y6 with the focus on understanding why their combination for OPV application can obtain such high efficiency.We also update the recent progress in highly efficient PM6:Y6-based OPV cells via various optimizing strategies.Then we summarize the other applications of the PM6:Y6-based system in semi-transparent,flexible or lay e-by-layer devices.The prospects for future OPV studies will be suggested in the end.展开更多
为了探究饮用乳双歧杆菌Y6活菌型发酵乳对消化功能障碍人群肠道健康的影响,本文进行了一项膳食干预试验。选择具有消化功能问题的受试者,每天饮用200 mL Y6活菌型发酵乳,持续4周。分别在干预前后进行临床评分,同时利用Illumina PE300测...为了探究饮用乳双歧杆菌Y6活菌型发酵乳对消化功能障碍人群肠道健康的影响,本文进行了一项膳食干预试验。选择具有消化功能问题的受试者,每天饮用200 mL Y6活菌型发酵乳,持续4周。分别在干预前后进行临床评分,同时利用Illumina PE300测序平台,对受试者粪便微生物的16S rDNA PCR产物片段进行高通量测序,使用气相色谱测定了粪便中短链脂肪酸(SCFAs)的含量。结果表明,饮用Y6活菌型发酵乳对消化功能障碍导致的临床症状有极显著的改善作用(P<0.01);高通量测序结果显示,Y6活菌型发酵乳的干预对人体肠道微生物群的组成影响显著,但对物种多样性和丰富度没有明显改变,其中有益菌Akkermansia、Collinsella和Erysipelotrichacee_UCG_003属的相对丰度增加,有害菌Lachnoclostridium属的相对丰富度减少;肠道内SCFAs(乙酸、丙酸和丁酸)含量显著增加(P<0.05)。乳双歧杆菌Y6活菌型发酵乳的干预可以显著改善消化功能障碍人群的肠道健康,为Y6菌株的应用提供理论依据。展开更多
Organic solar cells(OSCs)are a promising photovoltaic technology for practical applications.However,the design and synthesis of donor materials molecules based on traditional experimental trial-anderror methods are of...Organic solar cells(OSCs)are a promising photovoltaic technology for practical applications.However,the design and synthesis of donor materials molecules based on traditional experimental trial-anderror methods are often complex and expensive in terms of money and time.Machine learning(ML)can effectively learn from data sets and build reliable models to predict the performance of materials with reasonable accuracy.Y6 has become the landmark high-performance OSC acceptor material.We collected the power conversion efficiency(PCE)of small molecular donors and polymer donors based on the Y6 acceptor and calculated their molecule structure descriptors.Then we used six types of algorithms to develop models and compare the predictive performance with the coefficient of determination(R^(2))and Pearson correlation coefficient(r)as the metrics.Among them,decision tree-based algorithms showed excellent predictive capability,especially the Gradient Boosting Regression Tree(GBRT)models based on small molecular donors and polymer donors exhibited that the values of R2are 0.84 and 0.69 for the testing set,respectively.Our work provides a strategy to predict PCEs rapidly,and discovers the influence of the descriptors,thereby being expected to screen high-performance donor material molecules.展开更多
基金supported by the Key Scientific Research Innovation Program of Shanghai Municipal Education Commission,China (No.082260)
文摘The immunocytes microglia in the central nervous system （CNS） were reported to play a crucial role in neurodegeneration. As a member of P2 receptors family, purinoceptor P2Y6 has attracted much attention recently. Previous studies showed that purinoceptor P2Y6 mainly contributed to microglia activation and their later phagocytosis in CNS, while in immune system, it participated in the secretion of interleukin （IL）-8 from monocytes and macrocytes. So there raises a question： whether purinoceptor P2Y6 also takes part in neuroinflammation？ Thus, this review mainly concerns about the properties and roles of purinoceptor P2Y6, including （1） structure of purinoceptor P2Y6; （2） distribution and properties of purinoceptor P2Y6; （3） relationships between purinoceptor P2Y6 and microglia; （4） relationships between purinoceptor P2Y6 and immunoinflammation. It＇s proposed that purinoceptor P2Y6 may play a role in neuroinflammation in CNS, although further research is still required.
基金Project supported by National Natural Science Foundation of China （91123019）
文摘Eu3＋ activated Ca4Yt（SiO4）60 phosphors were prepared by combustion synthesis method, and their morphologies and lu- minescent properties were investigated. Field scanning electron microscopy （FSEM） confirmed that the crystallite sizes of nanoparti- cles with narrow diameter ranging from 30 to 60 rim. The excitation spectra of CaaY6（SiO4）60：Etl3＋ showed that there existed two strong excitation bands at around 399 nm （TFo----~SL6） and 469 nm （TF0---＊SD2）, which were consistent with the output wavelengths of near-UV and blue LEDs, respectively. The emission spectra of Ca4Y6（SiO4）60：Eu3＋ were dominant by a red peak located at 614 nm due to the 5Do→7TF2 transition of Eu3＋. With the increase of Eu3＋concentration, the luminescence intensity of the red phosphor reached maximum and then decreased. The optimum concentration for Eug＋in Ca4Y6（SiO4）60 was 21 mol.%.
基金supported by the National Natural Science Foundation of China(22005024,51873007,51961165102 and 21835006)。
文摘With advances in material science and a more in-depth understanding of device engineering,the power conversion efficiency(PCE)of solution-processed organic photovoltaic(OPV)cells have significantly boosted in the past few years.In 2019,a high PCE of 15.7%was achieved in the OPV cells adopting a wide bandgap polymer PM6 and a new emerging non-fullerene acceptor Y6.Such outstanding performance has attracted lots of research attention,driving considerable efforts to improve or take advantage of the high-performance PM6:Y6-based system.In this review,we first concentrate on the structural characteristics of PM6 and Y6 with the focus on understanding why their combination for OPV application can obtain such high efficiency.We also update the recent progress in highly efficient PM6:Y6-based OPV cells via various optimizing strategies.Then we summarize the other applications of the PM6:Y6-based system in semi-transparent,flexible or lay e-by-layer devices.The prospects for future OPV studies will be suggested in the end.
基金financially supported by the National Natural Science Foundation of China(21776067)the Hunan Provincial Distinguished Young Scholars Foundation of China(2020JJ2014)+1 种基金the Hunan Provincial Natural Science Foundation of China(2022JJ30239)the Key Project of Hunan Provincial Education Department,China,No.22A0328。
文摘Organic solar cells(OSCs)are a promising photovoltaic technology for practical applications.However,the design and synthesis of donor materials molecules based on traditional experimental trial-anderror methods are often complex and expensive in terms of money and time.Machine learning(ML)can effectively learn from data sets and build reliable models to predict the performance of materials with reasonable accuracy.Y6 has become the landmark high-performance OSC acceptor material.We collected the power conversion efficiency(PCE)of small molecular donors and polymer donors based on the Y6 acceptor and calculated their molecule structure descriptors.Then we used six types of algorithms to develop models and compare the predictive performance with the coefficient of determination(R^(2))and Pearson correlation coefficient(r)as the metrics.Among them,decision tree-based algorithms showed excellent predictive capability,especially the Gradient Boosting Regression Tree(GBRT)models based on small molecular donors and polymer donors exhibited that the values of R2are 0.84 and 0.69 for the testing set,respectively.Our work provides a strategy to predict PCEs rapidly,and discovers the influence of the descriptors,thereby being expected to screen high-performance donor material molecules.
