High-resolution flow field data has important applications in meteorology,aerospace engineering,high-energy physics and other fields.Experiments and numerical simulations are two main ways to obtain high-resolution fl...High-resolution flow field data has important applications in meteorology,aerospace engineering,high-energy physics and other fields.Experiments and numerical simulations are two main ways to obtain high-resolution flow field data,while the high experiment cost and computing resources for simulation hinder the specificanalysis of flow field evolution.With the development of deep learning technology,convolutional neural networks areused to achieve high-resolution reconstruction of the flow field.In this paper,an ordinary convolutional neuralnetwork and a multi-time-path convolutional neural network are established for the ablative Rayleigh-Taylorinstability.These two methods can reconstruct the high-resolution flow field in just a few seconds,and further greatlyenrich the application of high-resolution reconstruction technology in fluid instability.Compared with the ordinaryconvolutional neural network,the multi-time-path convolutional neural network model has smaller error and canrestore more details of the flow field.The influence of low-resolution flow field data obtained by the two poolingmethods on the convolutional neural networks model is also discussed.展开更多
Roes of yellowfin tuna （Thunnus albacares） and red snapper （Lutjanus champecanus） are considered as abundant and underutilized by-product in Indonesia. The production of roe protein concentrate （RPC） is expected...Roes of yellowfin tuna （Thunnus albacares） and red snapper （Lutjanus champecanus） are considered as abundant and underutilized by-product in Indonesia. The production of roe protein concentrate （RPC） is expected to increase the economic value and potency of their usage. Tuna and red snapper RPC was defatted using etano195% with one, two, three and four times of repetition. Both RPC made with four times repetition of defatting had the highest protein content （79.90% and 80.72%）, showed high emulsion activity （97.46% and 99.62%） and emulsion stability （97.10% and 99.48%）, and decreased the interfacial tension of 51% and 55.9%, respectively. Mayonnaise was made with 0, 25, 50, 75 and 100% substitution level of each RPC with four times repetition ofdefatting. The physical, chemical and organoleptic properties of mayonnaise were studied. The best mayonnaise formulation was obtained from 50% substitution level of tuna and red snapper RPC. Mayonnaise with tuna and red snapper RPC had good viscosity （5,920 cPs and 5,845 cPs）, high emulsion stability （90.5% and 91.73%） and small fat globule size （±2.5 lam and ± 2.25 lam）, respectively. These mayonnaises also showed high score of spreadability and low intense of fishy odor. However they still had quite strong of fishy flavor based on scoring test.展开更多
The function of the unemployment insurance funds arc： ensuring the basic life and stabling employment, preventing unemployment and promoting employment, on the one hand, it guarantee basic livings of the unemploycd, ...The function of the unemployment insurance funds arc： ensuring the basic life and stabling employment, preventing unemployment and promoting employment, on the one hand, it guarantee basic livings of the unemploycd, in order to reduce the impact on the individual and society. On the other hand, it also has a function of stabling employment, preventing unemployment and promoting unemployed again obtain employment. In recent years, however, the unemployment insurance fund revenue has been greater than its expenditure, balance funds become more and more, it not only faces a risk of depreciation, also will cause the waste of funds. Therefore, improve the utilization rate of the uncmployment insurance fund itself and expand the function of the unemployment insurance fund, realize the sustainable development of unemployment insurance funds is great significance.展开更多
Aims Anthropogenic climate change is predicted to increase mean temperatures and rainfall seasonality.How tropical rainforest species will respond to this climate change remains uncertain.Here,we analysed the effects ...Aims Anthropogenic climate change is predicted to increase mean temperatures and rainfall seasonality.How tropical rainforest species will respond to this climate change remains uncertain.Here,we analysed the effects of a 4-year experimental throughfall exclusion(TFE)on an Australian endemic palm(Normambya normanbyi)in the Daintree rainforest of North Queensland,Australia.We aimed to understand the impact of a simulated reduction in rainfall on the species’physiological processes and fruiting phenology.Methods We examined the fruiting phenology and ecophysiology of this locally abundant palm to determine the ecological responses of the species to drought.Soil water availability was reduced overall by~30%under a TFE experiment,established in May 2015.We monitored monthly fruiting activity for 8 years in total(2009–2018),including 4 years prior to the onset of the TFE.In the most recent year of the study,we measured physiological parameters including photosynthetic rate,stomatal conductance and carbon stable isotopes(δ13C,an integrated measure of water use efficiency)from young and mature leaves in both the dry and wet seasons.Important Findings We determined that the monthly fruiting activity of all palms was primarily driven by photoperiod,mean solar radiation and mean temperature.However,individuals exposed to lower soil moisture in the TFE decreased significantly in fruiting activity,photosynthetic rate and stomatal conductance.We found that these measures of physiological performance were affected by the TFE,season and the interaction of the two.Recovery of fruiting activity in the TFE palms was observed in 2018,when there was an increase in shallow soil moisture compared with previous years in the treatment.Our findings suggest that palms,such as the N.normanbyi,will be sensitive to future climate change with long-term monitoring recommended to determine population-scale impacts.展开更多
基金National Natural Science Foundation of China(1180500311947102+4 种基金12004005)Natural Science Foundation of Anhui Province(2008085MA162008085QA26)University Synergy Innovation Program of Anhui Province(GXXT-2022-039)State Key Laboratory of Advanced Electromagnetic Technology(Grant No.AET 2024KF006)。
文摘High-resolution flow field data has important applications in meteorology,aerospace engineering,high-energy physics and other fields.Experiments and numerical simulations are two main ways to obtain high-resolution flow field data,while the high experiment cost and computing resources for simulation hinder the specificanalysis of flow field evolution.With the development of deep learning technology,convolutional neural networks areused to achieve high-resolution reconstruction of the flow field.In this paper,an ordinary convolutional neuralnetwork and a multi-time-path convolutional neural network are established for the ablative Rayleigh-Taylorinstability.These two methods can reconstruct the high-resolution flow field in just a few seconds,and further greatlyenrich the application of high-resolution reconstruction technology in fluid instability.Compared with the ordinaryconvolutional neural network,the multi-time-path convolutional neural network model has smaller error and canrestore more details of the flow field.The influence of low-resolution flow field data obtained by the two poolingmethods on the convolutional neural networks model is also discussed.
文摘Roes of yellowfin tuna （Thunnus albacares） and red snapper （Lutjanus champecanus） are considered as abundant and underutilized by-product in Indonesia. The production of roe protein concentrate （RPC） is expected to increase the economic value and potency of their usage. Tuna and red snapper RPC was defatted using etano195% with one, two, three and four times of repetition. Both RPC made with four times repetition of defatting had the highest protein content （79.90% and 80.72%）, showed high emulsion activity （97.46% and 99.62%） and emulsion stability （97.10% and 99.48%）, and decreased the interfacial tension of 51% and 55.9%, respectively. Mayonnaise was made with 0, 25, 50, 75 and 100% substitution level of each RPC with four times repetition ofdefatting. The physical, chemical and organoleptic properties of mayonnaise were studied. The best mayonnaise formulation was obtained from 50% substitution level of tuna and red snapper RPC. Mayonnaise with tuna and red snapper RPC had good viscosity （5,920 cPs and 5,845 cPs）, high emulsion stability （90.5% and 91.73%） and small fat globule size （±2.5 lam and ± 2.25 lam）, respectively. These mayonnaises also showed high score of spreadability and low intense of fishy odor. However they still had quite strong of fishy flavor based on scoring test.
文摘The function of the unemployment insurance funds arc： ensuring the basic life and stabling employment, preventing unemployment and promoting employment, on the one hand, it guarantee basic livings of the unemploycd, in order to reduce the impact on the individual and society. On the other hand, it also has a function of stabling employment, preventing unemployment and promoting unemployed again obtain employment. In recent years, however, the unemployment insurance fund revenue has been greater than its expenditure, balance funds become more and more, it not only faces a risk of depreciation, also will cause the waste of funds. Therefore, improve the utilization rate of the uncmployment insurance fund itself and expand the function of the unemployment insurance fund, realize the sustainable development of unemployment insurance funds is great significance.
基金supported by grants from the Skyrail Rainforest Foundation(http://www.skyrailfoundation.org/)Wet Tropics Management Authority(https://www.wettropics.gov.au)to N.V.,and Australian Research Council grants(FT130101319,DP130104092)to S.L.
文摘Aims Anthropogenic climate change is predicted to increase mean temperatures and rainfall seasonality.How tropical rainforest species will respond to this climate change remains uncertain.Here,we analysed the effects of a 4-year experimental throughfall exclusion(TFE)on an Australian endemic palm(Normambya normanbyi)in the Daintree rainforest of North Queensland,Australia.We aimed to understand the impact of a simulated reduction in rainfall on the species’physiological processes and fruiting phenology.Methods We examined the fruiting phenology and ecophysiology of this locally abundant palm to determine the ecological responses of the species to drought.Soil water availability was reduced overall by~30%under a TFE experiment,established in May 2015.We monitored monthly fruiting activity for 8 years in total(2009–2018),including 4 years prior to the onset of the TFE.In the most recent year of the study,we measured physiological parameters including photosynthetic rate,stomatal conductance and carbon stable isotopes(δ13C,an integrated measure of water use efficiency)from young and mature leaves in both the dry and wet seasons.Important Findings We determined that the monthly fruiting activity of all palms was primarily driven by photoperiod,mean solar radiation and mean temperature.However,individuals exposed to lower soil moisture in the TFE decreased significantly in fruiting activity,photosynthetic rate and stomatal conductance.We found that these measures of physiological performance were affected by the TFE,season and the interaction of the two.Recovery of fruiting activity in the TFE palms was observed in 2018,when there was an increase in shallow soil moisture compared with previous years in the treatment.Our findings suggest that palms,such as the N.normanbyi,will be sensitive to future climate change with long-term monitoring recommended to determine population-scale impacts.
