Accurate estimation of the remaining useful life(RUL)and health state for rollers is of great significance to hot rolling production.It can provide decision support for roller management so as to improve the productiv...Accurate estimation of the remaining useful life(RUL)and health state for rollers is of great significance to hot rolling production.It can provide decision support for roller management so as to improve the productivity of the hot rolling process.In addition,the RUL prediction for rollers is helpful in transitioning from the current regular maintenance strategy to conditional-based maintenance.Therefore,a new method that can extract coarse-grained and fine-grained features from batch data to predict the RUL of the rollers is proposed in this paper.Firstly,a new deep learning network architecture based on recurrent neural networks that can make full use of the extracted coarsegrained fine-grained features to estimate the heath indicator(HI)is developed,where the HI is able to indicate the health state of the roller.Following that,a state-space model is constructed to describe the HI,and the probabilistic distribution of RUL can be estimated by extrapolating the HI degradation model to a predefined failure threshold.Finally,application to a hot strip mill is given to verify the effectiveness of the proposed methods using data collected from an industrial site,and the relatively low RMSE and MAE values demonstrate its advantages compared with some other popular deep learning methods.展开更多
Peptides are a particular molecule class with inherent attributes of some small-molecule drugs and macromolecular biologics,thereby inspiring continuous searches for peptides with therapeutic and/or agrochemical poten...Peptides are a particular molecule class with inherent attributes of some small-molecule drugs and macromolecular biologics,thereby inspiring continuous searches for peptides with therapeutic and/or agrochemical potentials.However,the success rate is decreasing,presumably because many interesting but less-abundant peptides are so scarce or labile that they are likely‘overlooked’during the characterization effort.Here,we present the biochemical characterization and druggability improvement of an unprecedented minor fungal RiPP(ribosomally synthesized and post-translationally modified peptide),named acalitide,by taking the relevant advantages of metabolomics approach and disulfide-bridged substructure which is more frequently imprinted in the marketed peptide drug molecules.Acalitide is biosynthetically unique in the macrotricyclization via two disulfide bridges and a protease(AcaB)-catalyzed lactamization of AcaA,an unprecedented precursor peptide.Such a biosynthetic logic was successfully re-edited for its sample supply renewal to facilitate the identification of the in vitro and in vivo antiparkinsonian efficacy of acalitide which was further confirmed safe and rendered brain-targetable by the liposome encapsulation strategy.Taken together,the work updates the mining strategy and biosynthetic complexity of RiPPs to unravel an antiparkinsonian drug candidate valuable for combating Parkinson’s disease that is globally prevailing in an alarming manner.展开更多
A novel alkaloid, chartrenoline(1), featuring an unusual 6/6/5/5-tetracyclic nucleus, was isolated from a marine Streptomyces chartreusis NA02069. The structure of 1 including its absolute configurations was establish...A novel alkaloid, chartrenoline(1), featuring an unusual 6/6/5/5-tetracyclic nucleus, was isolated from a marine Streptomyces chartreusis NA02069. The structure of 1 including its absolute configurations was established by extensive analyses of its high resolution mass, NMR and single-crystal X-ray diffraction data. A plausible biosynthetic pathway for chartrenoline(1) is proposed.展开更多
Spirobisnaphthalenes comprise a relatively rare family of natural products that are normally isolated from fungi and occasionally from plants.Here we reported the discovery of seven new preussomerintype spirobisnaphth...Spirobisnaphthalenes comprise a relatively rare family of natural products that are normally isolated from fungi and occasionally from plants.Here we reported the discovery of seven new preussomerintype spirobisnaphthalenes,preussomerins YT1-YT7(1-7),and seven known ones(8-14),from the endophytic fungus Edenia gomezpompae,enriching the structural diversity of this family of natural products.Their structures were established by 1 D and 2 D NMR spectroscopy,HRESIMS analysis and comparison with previously reported compounds,with the absolute configurations of compounds 1 and2 being further confirmed by single-crystal X-ray diffraction using Cu Ka radiation.The antiinflammatory activities of all isolates were assessed by measuring the production of NO in LPS-induced RAW264.7 macrophage cells.Among them,compounds 8 and 13 exhibited potent inhibitory activities on the production of NO,with IC50 values of 2.61 and 1.32μmol/L,respectively.展开更多
Dear Editor,Gastric cancer(GC)is one of the most common malignant tumors of the digestive system and the second leading cause of cancer death worldwide1.Despite the gradually declining morbidity and mortality,GC still...Dear Editor,Gastric cancer(GC)is one of the most common malignant tumors of the digestive system and the second leading cause of cancer death worldwide1.Despite the gradually declining morbidity and mortality,GC still burdens many countries in East Asia1.Understanding the GC pathological process is vital for the successful diagnosis,treatment and prevention of this disease.展开更多
基金the Natural Science Foundation of China(NSFC)(61873024,61773053)the China Central Universities of USTB(FRF-TP-19-049A1Z)the National Key RD Program of China(2017YFB0306403)。
文摘Accurate estimation of the remaining useful life(RUL)and health state for rollers is of great significance to hot rolling production.It can provide decision support for roller management so as to improve the productivity of the hot rolling process.In addition,the RUL prediction for rollers is helpful in transitioning from the current regular maintenance strategy to conditional-based maintenance.Therefore,a new method that can extract coarse-grained and fine-grained features from batch data to predict the RUL of the rollers is proposed in this paper.Firstly,a new deep learning network architecture based on recurrent neural networks that can make full use of the extracted coarsegrained fine-grained features to estimate the heath indicator(HI)is developed,where the HI is able to indicate the health state of the roller.Following that,a state-space model is constructed to describe the HI,and the probabilistic distribution of RUL can be estimated by extrapolating the HI degradation model to a predefined failure threshold.Finally,application to a hot strip mill is given to verify the effectiveness of the proposed methods using data collected from an industrial site,and the relatively low RMSE and MAE values demonstrate its advantages compared with some other popular deep learning methods.
基金co-financed by the NSFC(81991524,81991523,and 22193071,China)MOST grants(STI2030-Major Project-2022ZD0211804,China).
文摘Peptides are a particular molecule class with inherent attributes of some small-molecule drugs and macromolecular biologics,thereby inspiring continuous searches for peptides with therapeutic and/or agrochemical potentials.However,the success rate is decreasing,presumably because many interesting but less-abundant peptides are so scarce or labile that they are likely‘overlooked’during the characterization effort.Here,we present the biochemical characterization and druggability improvement of an unprecedented minor fungal RiPP(ribosomally synthesized and post-translationally modified peptide),named acalitide,by taking the relevant advantages of metabolomics approach and disulfide-bridged substructure which is more frequently imprinted in the marketed peptide drug molecules.Acalitide is biosynthetically unique in the macrotricyclization via two disulfide bridges and a protease(AcaB)-catalyzed lactamization of AcaA,an unprecedented precursor peptide.Such a biosynthetic logic was successfully re-edited for its sample supply renewal to facilitate the identification of the in vitro and in vivo antiparkinsonian efficacy of acalitide which was further confirmed safe and rendered brain-targetable by the liposome encapsulation strategy.Taken together,the work updates the mining strategy and biosynthetic complexity of RiPPs to unravel an antiparkinsonian drug candidate valuable for combating Parkinson’s disease that is globally prevailing in an alarming manner.
基金financially supported by the National Natural Science Foundation of China(Nos.81522042,21572100,81773591,81421091,81500059,81673333,21672101,21761142001,21661140001,J1210026,and J1103512)Natural Science Foundation of Jiangsu Province(No.BK20151397)Fundamental Research Funds for the Central Universities(No.020814380092)
文摘A novel alkaloid, chartrenoline(1), featuring an unusual 6/6/5/5-tetracyclic nucleus, was isolated from a marine Streptomyces chartreusis NA02069. The structure of 1 including its absolute configurations was established by extensive analyses of its high resolution mass, NMR and single-crystal X-ray diffraction data. A plausible biosynthetic pathway for chartrenoline(1) is proposed.
基金financially supported by MOST(Nos.2018YFA0902000 and 2018YFC1706200)National Natural Science Foundation of China(Nos.81925033,21861142005,81773591,21761142001,81673333 and 21661140001)+1 种基金the Central Public-interest Scientific Institution Basal Research Fund for CATAS-ITBB(Nos.1630052020032,19CXTD-32 and 1630052019011)the Hainan Provincial Basic and Applied Basic Research Fund for High-Level Talents in Natural Science(No.2019RC306)。
文摘Spirobisnaphthalenes comprise a relatively rare family of natural products that are normally isolated from fungi and occasionally from plants.Here we reported the discovery of seven new preussomerintype spirobisnaphthalenes,preussomerins YT1-YT7(1-7),and seven known ones(8-14),from the endophytic fungus Edenia gomezpompae,enriching the structural diversity of this family of natural products.Their structures were established by 1 D and 2 D NMR spectroscopy,HRESIMS analysis and comparison with previously reported compounds,with the absolute configurations of compounds 1 and2 being further confirmed by single-crystal X-ray diffraction using Cu Ka radiation.The antiinflammatory activities of all isolates were assessed by measuring the production of NO in LPS-induced RAW264.7 macrophage cells.Among them,compounds 8 and 13 exhibited potent inhibitory activities on the production of NO,with IC50 values of 2.61 and 1.32μmol/L,respectively.
基金supported by the China Postdoctoral Science Foundation(No.2018M642211)the Chinese Science and Technology Major Project of China(2015ZX09102023-003)+1 种基金the Natural Science Foundation of Jiangsu Province(No.BE2016737)the Research and Development Fund of Kangda College,Nanjing Medical University(No.KD2017KYJJZD011).
文摘Dear Editor,Gastric cancer(GC)is one of the most common malignant tumors of the digestive system and the second leading cause of cancer death worldwide1.Despite the gradually declining morbidity and mortality,GC still burdens many countries in East Asia1.Understanding the GC pathological process is vital for the successful diagnosis,treatment and prevention of this disease.
