Time series prediction has always been an important problem in the field of machine learning.Among them,power load forecasting plays a crucial role in identifying the behavior of photovoltaic power plants and regulati...Time series prediction has always been an important problem in the field of machine learning.Among them,power load forecasting plays a crucial role in identifying the behavior of photovoltaic power plants and regulating their control strategies.Traditional power load forecasting often has poor feature extraction performance for long time series.In this paper,a new deep learning framework Residual Stacked Temporal Long Short-Term Memory(RST-LSTM)is proposed,which combines wavelet decomposition and time convolutional memory network to solve the problem of feature extraction for long sequences.The network framework of RST-LSTM consists of two parts:one is a stacked time convolutional memory unit module for global and local feature extraction,and the other is a residual combination optimization module to reduce model redundancy.Finally,this paper demonstrates through various experimental indicators that RST-LSTM achieves significant performance improvements in both overall and local prediction accuracy compared to some state-of-the-art baseline methods.展开更多
With 85% of the global oyster reefs destroyed, there is an urgent need for large scale restoration to benefit from the ecosystem services provided by biogenic oyster reefs and their associated biodiversity, including ...With 85% of the global oyster reefs destroyed, there is an urgent need for large scale restoration to benefit from the ecosystem services provided by biogenic oyster reefs and their associated biodiversity, including microorganisms that drive marine biogeochemical cycles. This experiment established a baseline for the monitoring of the bacterial and archaeal community associated with wild oysters, using samples from their immediate environment of the Voordelta, with cohabiting Crassostrea gigas and Ostrea edulis, Duikplaats with only C. gigas attached to rocks, and the Dansk Skaldyrcentre, with no onsite oysters. The microbial profiling was carried out through DNA analysis of samples collected from the surfaces of oyster shells and their substrate, the sediment and seawater. Following 16S rRNA amplicon sequencing and bioinformatics, alpha indices implied high species abundance and diversity in sediment but low abundance in seawater. As expected, Proteobacteria, Bacteroidetes, Firmicutes and Thaumarchaeota dominated the top 20 OTUs. In the Voordelta, OTUs related to Colwellia, Shewanella and Psychrobium differentiated the oysters collected from a reef with those attached to rocks. Duikplaats were distinct for sulfur-oxidizers Sulfurimonas and sulfate-reducers from the Sva 0081 sediment group. Archaea were found mainly in sediments and the oyster associated microbiome, with greater abundance at the reef site, consisting mostly of Thaumarchaeota from the family Nitrosopumilaceae. The oyster free site displayed archaea in sediments only, and algal bloom indicator microorganisms from the Rhodobacteraceae, Flavobacteriaceae family and genus [Polaribacter] huanghezhanensis, in addition to the ascidian symbiotic partner, Synechococcus. This study suggests site specific microbiome shifts, influenced by the presence of oysters and the type of substrate.展开更多
Paclobutrazol is a plant growth regulator and inhibitor of endogenous gibberellin synthesis.It is a powerful inhibitor of vegetative growth by changing the photosynthetic rate and plant hormone levels,thereby affectin...Paclobutrazol is a plant growth regulator and inhibitor of endogenous gibberellin synthesis.It is a powerful inhibitor of vegetative growth by changing the photosynthetic rate and plant hormone levels,thereby affecting plant growth and development.In this study,the effects of paclobutrazol on the model diatom Phaeodactylum tricornutum were investigated.Results show that 2.5-mg/L and 10-mg/L paclobutrazol significantly inhibited the algal growth by inhibiting chlorophyll synthesis,which affects photosynthesis.The antioxidant system,including catalase(CAT)and glutathione peroxidase(GPx)was severely damaged.Chrysolaminarin content was significantly elevated and doubled up to 127 mg/g dry cell weight(DCW)by 10-mg/L paclobutrazol treatment.In combination with transcriptomic analysis,paclobutrazol was demonstrated to play a regulatory role in the accumulation of chrysolaminarin and neutral lipids.展开更多
With various potential health-promoting bioactivities,genistein has great prospects in treatment of a series of complex diseases and metabolic syndromes such as cancer,diabetes,cardiovascular diseases,menopausal sympt...With various potential health-promoting bioactivities,genistein has great prospects in treatment of a series of complex diseases and metabolic syndromes such as cancer,diabetes,cardiovascular diseases,menopausal symptoms and so on.However,poor solubility and unsatisfactory bioavailability seriously limits its clinical application and market development.To optimize the solubility and bioavailability of genistein,the cocrystal of genistein and piperazine was prepared by grinding assisted with solvent based on the concept of cocrystal engineering.Using a series of analytical techniques including single-crystal X-ray diffraction,powder X-ray diffraction,Fourier transform infrared spectroscopy,differential scanning calorimetry and thermogravimetric analysis,the cocrystal was characterized and confirmed.Then,structure analysis on the basis of theoretical calculation and a series of evaluation on the stability,dissolution and bioavailability were carried out.The results indicated that the cocrystal of genistein and piperazine improved the solubility and bioavailability of genistein.Compared with the previous studies on the cocrystal of genistein,this is a systematic and comprehensive investigation from the aspects of preparation,characterization,structural analysis,stability,solubility and bioavailability evaluation.As a simple,efficient and green approach,cocrystal engineering can pave a new path to optimize the pharmaceutical properties of natural products for successful drug formulation and delivery.展开更多
基金funded by NARI Group’s Independent Project of China(Granted No.524609230125)the foundation of NARI-TECH Nanjing Control System Ltd.of China(Granted No.0914202403120020).
文摘Time series prediction has always been an important problem in the field of machine learning.Among them,power load forecasting plays a crucial role in identifying the behavior of photovoltaic power plants and regulating their control strategies.Traditional power load forecasting often has poor feature extraction performance for long time series.In this paper,a new deep learning framework Residual Stacked Temporal Long Short-Term Memory(RST-LSTM)is proposed,which combines wavelet decomposition and time convolutional memory network to solve the problem of feature extraction for long sequences.The network framework of RST-LSTM consists of two parts:one is a stacked time convolutional memory unit module for global and local feature extraction,and the other is a residual combination optimization module to reduce model redundancy.Finally,this paper demonstrates through various experimental indicators that RST-LSTM achieves significant performance improvements in both overall and local prediction accuracy compared to some state-of-the-art baseline methods.
文摘With 85% of the global oyster reefs destroyed, there is an urgent need for large scale restoration to benefit from the ecosystem services provided by biogenic oyster reefs and their associated biodiversity, including microorganisms that drive marine biogeochemical cycles. This experiment established a baseline for the monitoring of the bacterial and archaeal community associated with wild oysters, using samples from their immediate environment of the Voordelta, with cohabiting Crassostrea gigas and Ostrea edulis, Duikplaats with only C. gigas attached to rocks, and the Dansk Skaldyrcentre, with no onsite oysters. The microbial profiling was carried out through DNA analysis of samples collected from the surfaces of oyster shells and their substrate, the sediment and seawater. Following 16S rRNA amplicon sequencing and bioinformatics, alpha indices implied high species abundance and diversity in sediment but low abundance in seawater. As expected, Proteobacteria, Bacteroidetes, Firmicutes and Thaumarchaeota dominated the top 20 OTUs. In the Voordelta, OTUs related to Colwellia, Shewanella and Psychrobium differentiated the oysters collected from a reef with those attached to rocks. Duikplaats were distinct for sulfur-oxidizers Sulfurimonas and sulfate-reducers from the Sva 0081 sediment group. Archaea were found mainly in sediments and the oyster associated microbiome, with greater abundance at the reef site, consisting mostly of Thaumarchaeota from the family Nitrosopumilaceae. The oyster free site displayed archaea in sediments only, and algal bloom indicator microorganisms from the Rhodobacteraceae, Flavobacteriaceae family and genus [Polaribacter] huanghezhanensis, in addition to the ascidian symbiotic partner, Synechococcus. This study suggests site specific microbiome shifts, influenced by the presence of oysters and the type of substrate.
基金Supported by the National Natural Science Foundation of China (Nos.31870027,42006125)the Guangdong Natural Science Foundation (No.2019B1515120062)。
文摘Paclobutrazol is a plant growth regulator and inhibitor of endogenous gibberellin synthesis.It is a powerful inhibitor of vegetative growth by changing the photosynthetic rate and plant hormone levels,thereby affecting plant growth and development.In this study,the effects of paclobutrazol on the model diatom Phaeodactylum tricornutum were investigated.Results show that 2.5-mg/L and 10-mg/L paclobutrazol significantly inhibited the algal growth by inhibiting chlorophyll synthesis,which affects photosynthesis.The antioxidant system,including catalase(CAT)and glutathione peroxidase(GPx)was severely damaged.Chrysolaminarin content was significantly elevated and doubled up to 127 mg/g dry cell weight(DCW)by 10-mg/L paclobutrazol treatment.In combination with transcriptomic analysis,paclobutrazol was demonstrated to play a regulatory role in the accumulation of chrysolaminarin and neutral lipids.
基金the National Natural Science Foundation of China(Grant No.22278443)CAMS Innovation Fund for Medical Sciences(Grant No.2022-I2M-1-015)the Chinese Pharmacopoeia Commission Drug Standard Promoting Fund(Grant No.2023Y11)for financial support.
文摘With various potential health-promoting bioactivities,genistein has great prospects in treatment of a series of complex diseases and metabolic syndromes such as cancer,diabetes,cardiovascular diseases,menopausal symptoms and so on.However,poor solubility and unsatisfactory bioavailability seriously limits its clinical application and market development.To optimize the solubility and bioavailability of genistein,the cocrystal of genistein and piperazine was prepared by grinding assisted with solvent based on the concept of cocrystal engineering.Using a series of analytical techniques including single-crystal X-ray diffraction,powder X-ray diffraction,Fourier transform infrared spectroscopy,differential scanning calorimetry and thermogravimetric analysis,the cocrystal was characterized and confirmed.Then,structure analysis on the basis of theoretical calculation and a series of evaluation on the stability,dissolution and bioavailability were carried out.The results indicated that the cocrystal of genistein and piperazine improved the solubility and bioavailability of genistein.Compared with the previous studies on the cocrystal of genistein,this is a systematic and comprehensive investigation from the aspects of preparation,characterization,structural analysis,stability,solubility and bioavailability evaluation.As a simple,efficient and green approach,cocrystal engineering can pave a new path to optimize the pharmaceutical properties of natural products for successful drug formulation and delivery.
