In this study, artificially hatched Ocadia sinensis individuals were cultured for 60 months, to record the growth and development process and investigate the morphological characteristics between the sexes and individ...In this study, artificially hatched Ocadia sinensis individuals were cultured for 60 months, to record the growth and development process and investigate the morphological characteristics between the sexes and individual fecundity of O. sinensis. Results showed that the main morphological differences between male and female individuals are concentrated in secondary sexual characteristics ： female turtle individuals have flat or slightly prominent sternites, short tails, short length from anal pore to sternite trailing edge; male turtle individuals have concave sternites, relatively stout tails, large length from anal pore to sternite trailing edge. There were significant differences in the growth of male and female individuals, in the first 12 months, female individuals grew faster than male individuals, with greater carapace length, carapace width and weight, but the differences between male and female individuals were not significant; in the late stage, the growth rate of female individuals was much higher than that of male individuals; by the end of the experiment, the average weight of female individuals was 3.86 times of that of male individuals. Regression analysis of female fecundity showed that the clutch size of O. sinensis had significant regression relationship with carapace length and weight, the fertility of female individuals was improved with the increasing size （ carapace length and weight）.展开更多
In this study,the oil recovery from pumpkin seed with or without the presence of pigment was evaluated during the aqueous enzymatic extraction process(AEEP).Additionally,the interaction of pumpkin seed coat pigment-pr...In this study,the oil recovery from pumpkin seed with or without the presence of pigment was evaluated during the aqueous enzymatic extraction process(AEEP).Additionally,the interaction of pumpkin seed coat pigment-protochlorophyll(Pchl)with interfacial proteins(globulin-O/W,globulin-W,and albumin-W)during the aqueous extraction process was investigated.When Pchl was removed from pumpkin seeds,the yield of free oil was significantly increased by 50.71%after the first centrifugation.And the total oil recovery increased from 68.59%to 89.91%using enzymatic demulsification.Theβ-sheet percentage of globulin-O/W decreased by 5.6%with the presence of Pchl based on the circular dichroism spectra analysis.The particle size of globulin-W and albumin-W significantly increased in contrast to globulin-O/W.In addition,the increase of surface hydrophobicity and surface sulfhydryl group showed a conformational change of three protein extracts.Fluorescence spectra analyses showed that Pchl quenched the intrinsic fluorescence of globulin-W,albumin-W,and globulin-O/W in a static mode.Thermodynamic analyses indicated that the main force between Pchl and proteins was hydrophobic interactions.The hydrolysis efficiency of Papain was reduced during demulsification in AEEP with the presence of Pchl.Therefore,the removal of pumpkin seed coat pigments facilitated the aqueous extraction of seed oil by getting rid of the interaction of Pchl with its interfacial protein.展开更多
Ferroelectric tunnel junction(FTJ)has attracted considerable attention for its potential applications in nonvolatile memory and neuromorphic computing.However,the experimental exploration of FTJs with high ON/OFF rati...Ferroelectric tunnel junction(FTJ)has attracted considerable attention for its potential applications in nonvolatile memory and neuromorphic computing.However,the experimental exploration of FTJs with high ON/OFF ratios is a challenging task due to the vast search space comprising of ferroelectric and electrode materials,fabrication methods and conditions and so on.Here,machine learning(ML)is demonstrated to be an effective tool to guide the experimental search of FTJs with high ON/OFF ratios.A dataset consisting of 152 FTJ samples with nine features and one target attribute(i.e.,ON/OFF ratio)is established for ML modeling.Among various ML models,the gradient boosting classification model achieves the highest prediction accuracy.Combining the feature importance analysis based on this model with the association rule mining,it is extracted that the utilizations of{graphene/graphite(Gra)(top),LaNiO_(3)(LNO)(bottom)}and{Gra(top),Ca_(0.96)Ce_(0.04)MnO_(3)(CCMO)(bottom)}electrode pairs are likely to result in high ON/OFF ratios in FTJs.Moreover,two previously unexplored FTJs:Gra/BaTiO_(3)(BTO)/LNO and Gra/BTO/CCMO,are predicted to achieve ON/OFF ratios higher than 1000.Guided by the ML predictions,the Gra/BTO/LNO and Gra/BTO/CCMO FTJs are experimentally fabricated,which unsurprisingly exhibit≥1000 ON/OFF ratios(~8540 and~7890,respectively).This study demonstrates a new paradigm of developing high-performance FTJs by using ML.展开更多
基金Supported by Project of Science and Technology of Guangdong Province(2010B020410004)Project of Science and Technology for Universities and Research Institutes of Dongguan City(201010810113)
文摘In this study, artificially hatched Ocadia sinensis individuals were cultured for 60 months, to record the growth and development process and investigate the morphological characteristics between the sexes and individual fecundity of O. sinensis. Results showed that the main morphological differences between male and female individuals are concentrated in secondary sexual characteristics ： female turtle individuals have flat or slightly prominent sternites, short tails, short length from anal pore to sternite trailing edge; male turtle individuals have concave sternites, relatively stout tails, large length from anal pore to sternite trailing edge. There were significant differences in the growth of male and female individuals, in the first 12 months, female individuals grew faster than male individuals, with greater carapace length, carapace width and weight, but the differences between male and female individuals were not significant; in the late stage, the growth rate of female individuals was much higher than that of male individuals; by the end of the experiment, the average weight of female individuals was 3.86 times of that of male individuals. Regression analysis of female fecundity showed that the clutch size of O. sinensis had significant regression relationship with carapace length and weight, the fertility of female individuals was improved with the increasing size （ carapace length and weight）.
基金This research was financially supported by National Key R&D Program Project(2021YFD2100301)Key R&D Program Project of Xinjiang Autonomous Region(2022A02009).
文摘In this study,the oil recovery from pumpkin seed with or without the presence of pigment was evaluated during the aqueous enzymatic extraction process(AEEP).Additionally,the interaction of pumpkin seed coat pigment-protochlorophyll(Pchl)with interfacial proteins(globulin-O/W,globulin-W,and albumin-W)during the aqueous extraction process was investigated.When Pchl was removed from pumpkin seeds,the yield of free oil was significantly increased by 50.71%after the first centrifugation.And the total oil recovery increased from 68.59%to 89.91%using enzymatic demulsification.Theβ-sheet percentage of globulin-O/W decreased by 5.6%with the presence of Pchl based on the circular dichroism spectra analysis.The particle size of globulin-W and albumin-W significantly increased in contrast to globulin-O/W.In addition,the increase of surface hydrophobicity and surface sulfhydryl group showed a conformational change of three protein extracts.Fluorescence spectra analyses showed that Pchl quenched the intrinsic fluorescence of globulin-W,albumin-W,and globulin-O/W in a static mode.Thermodynamic analyses indicated that the main force between Pchl and proteins was hydrophobic interactions.The hydrolysis efficiency of Papain was reduced during demulsification in AEEP with the presence of Pchl.Therefore,the removal of pumpkin seed coat pigments facilitated the aqueous extraction of seed oil by getting rid of the interaction of Pchl with its interfacial protein.
基金The authors would like to thank the National Natural Science Foundation of China(Nos.92163210,U1932125,52172143,12174347,61874158 and 92164109)Science and Technology Program of GuangZhou(No.2019050001)Natural Science of Guangdong Province(No.2020A1515010996).
文摘Ferroelectric tunnel junction(FTJ)has attracted considerable attention for its potential applications in nonvolatile memory and neuromorphic computing.However,the experimental exploration of FTJs with high ON/OFF ratios is a challenging task due to the vast search space comprising of ferroelectric and electrode materials,fabrication methods and conditions and so on.Here,machine learning(ML)is demonstrated to be an effective tool to guide the experimental search of FTJs with high ON/OFF ratios.A dataset consisting of 152 FTJ samples with nine features and one target attribute(i.e.,ON/OFF ratio)is established for ML modeling.Among various ML models,the gradient boosting classification model achieves the highest prediction accuracy.Combining the feature importance analysis based on this model with the association rule mining,it is extracted that the utilizations of{graphene/graphite(Gra)(top),LaNiO_(3)(LNO)(bottom)}and{Gra(top),Ca_(0.96)Ce_(0.04)MnO_(3)(CCMO)(bottom)}electrode pairs are likely to result in high ON/OFF ratios in FTJs.Moreover,two previously unexplored FTJs:Gra/BaTiO_(3)(BTO)/LNO and Gra/BTO/CCMO,are predicted to achieve ON/OFF ratios higher than 1000.Guided by the ML predictions,the Gra/BTO/LNO and Gra/BTO/CCMO FTJs are experimentally fabricated,which unsurprisingly exhibit≥1000 ON/OFF ratios(~8540 and~7890,respectively).This study demonstrates a new paradigm of developing high-performance FTJs by using ML.
