Utilizing machine learning techniques for data-driven diagnosis of high temperature PEM fuel cells is beneficial and meaningful to the system durability. Nevertheless, ensuring the robustness of diagnosis remains a cr...Utilizing machine learning techniques for data-driven diagnosis of high temperature PEM fuel cells is beneficial and meaningful to the system durability. Nevertheless, ensuring the robustness of diagnosis remains a critical and challenging task in real application. To enhance the robustness of diagnosis and achieve a more thorough evaluation of diagnostic performance, a robust diagnostic procedure based on electrochemical impedance spectroscopy (EIS) and a new method for evaluation of the diagnosis robustness was proposed and investigated in this work. To improve the diagnosis robustness: (1) the degradation mechanism of different faults in the high temperature PEM fuel cell was first analyzed via the distribution of relaxation time of EIS to determine the equivalent circuit model (ECM) with better interpretability, simplicity and accuracy;(2) the feature extraction was implemented on the identified parameters of the ECM and extra attention was paid to distinguishing between the long-term normal degradation and other faults;(3) a Siamese Network was adopted to get features with higher robustness in a new embedding. The diagnosis was conducted using 6 classic classification algorithms—support vector machine (SVM), K-nearest neighbor (KNN), logistic regression (LR), decision tree (DT), random forest (RF), and Naive Bayes employing a dataset comprising a total of 1935 collected EIS. To evaluate the robustness of trained models: (1) different levels of errors were added to the features for performance evaluation;(2) a robustness coefficient (Roubust_C) was defined for a quantified and explicit evaluation of the diagnosis robustness. The diagnostic models employing the proposed feature extraction method can not only achieve the higher performance of around 100% but also higher robustness for diagnosis models. Despite the initial performance being similar, the KNN demonstrated a superior robustness after feature selection and re-embedding by triplet-loss method, which suggests the necessity of robustness evaluation for the machine learning models and the effectiveness of the defined robustness coefficient. This work hopes to give new insights to the robust diagnosis of high temperature PEM fuel cells and more comprehensive performance evaluation of the data-driven method for diagnostic application.展开更多
State of health(SOH)estimation of e-mobilities operated in real and dynamic conditions is essential and challenging.Most of existing estimations are based on a fixed constant current charging and discharging aging pro...State of health(SOH)estimation of e-mobilities operated in real and dynamic conditions is essential and challenging.Most of existing estimations are based on a fixed constant current charging and discharging aging profiles,which overlooked the fact that the charging and discharging profiles are random and not complete in real application.This work investigates the influence of feature engineering on the accuracy of different machine learning(ML)-based SOH estimations acting on different recharging sub-profiles where a realistic battery mission profile is considered.Fifteen features were extracted from the battery partial recharging profiles,considering different factors such as starting voltage values,charge amount,and charging sliding windows.Then,features were selected based on a feature selection pipeline consisting of filtering and supervised ML-based subset selection.Multiple linear regression(MLR),Gaussian process regression(GPR),and support vector regression(SVR)were applied to estimate SOH,and root mean square error(RMSE)was used to evaluate and compare the estimation performance.The results showed that the feature selection pipeline can improve SOH estimation accuracy by 55.05%,2.57%,and 2.82%for MLR,GPR and SVR respectively.It was demonstrated that the estimation based on partial charging profiles with lower starting voltage,large charge,and large sliding window size is more likely to achieve higher accuracy.This work hopes to give some insights into the supervised ML-based feature engineering acting on random partial recharges on SOH estimation performance and tries to fill the gap of effective SOH estimation between theoretical study and real dynamic application.展开更多
<b>Objective:</b> To investigate the bioinformatics of differentially expressed proteins in plasma in patients with acute cerebral infarction associated with H-type hypertension. <b>Methods:</b>...<b>Objective:</b> To investigate the bioinformatics of differentially expressed proteins in plasma in patients with acute cerebral infarction associated with H-type hypertension. <b>Methods:</b> Gene chip public database (gene expression omnibus, GEO) GDS4521 chip data, in the chip in 30 cases of H patients with acute cerebral infarction with high blood pressure and age, gender, matching the 20 H hypertension patients as the research object, collects the mononuclear cells (PBMCs) is used to detect the gene chip, using the GO (gene Ontology, GO), protein function analysis tools such as KEGG, screening and analysis of enrichment of differentially expressed genes function and related signaling pathway. <b>Results:</b> 31 genes in PBMCs were significantly changed in h-type hypertension and H-type hypertension with acute cerebral infarction, 32 of which were increased and 2 of which were decreased. GO analysis showed that in terms of biological processes, the genes related to inflammatory response and neutrophil chemotaxis were the most. In terms of molecular function, chemokine activity-related genes are the most. KEGG signaling pathway analysis showed that the most differentially expressed genes were located in the TNF signaling pathway. <b>Conclusion:</b> H-type hypertension with acute cerebral infarction has a variety of functional proteins and signaling pathways changes, suggesting that inflammatory response in H-type hypertension with acute cerebral infarction recovery period may still play a role in the prognosis and reactivation of the disease.展开更多
Lithium-ion batteries are the most widely used energy storage devices,for which the accurate prediction of the remaining useful life(RUL)is crucial to their reliable operation and accident prevention.This work thoroug...Lithium-ion batteries are the most widely used energy storage devices,for which the accurate prediction of the remaining useful life(RUL)is crucial to their reliable operation and accident prevention.This work thoroughly investigates the developmental trend of RUL prediction with machine learning(ML)algorithms based on the objective screening and statistics of related papers over the past decade to analyze the research core and find future improvement directions.The possibility of extending lithium-ion battery lifetime using RUL prediction results is also explored in this paper.The ten most used ML algorithms for RUL prediction are first identified in 380 relevant papers.Then the general flow of RUL prediction and an in-depth introduction to the four most used signal pre-processing techniques in RUL prediction are presented.The research core of common ML algorithms is given first time in a uniform format in chronological order.The algorithms are also compared from aspects of accuracy and characteristics comprehensively,and the novel and general improvement directions or opportunities including improvement in early prediction,local regeneration modeling,physical information fusion,generalized transfer learning,and hardware implementation are further outlooked.Finally,the methods of battery lifetime extension are summarized,and the feasibility of using RUL as an indicator for extending battery lifetime is outlooked.Battery lifetime can be extended by optimizing the charging profile serval times according to the accurate RUL prediction results online in the future.This paper aims to give inspiration to the future improvement of ML algorithms in battery RUL prediction and lifetime extension strategy.展开更多
Objective:To evaluate the anatomical characteristics and patterns of neurovascular compression in patients suffering trigeminal neuralgia,using 3D high-resolution magnetic resonance imaging methods and fusion technolo...Objective:To evaluate the anatomical characteristics and patterns of neurovascular compression in patients suffering trigeminal neuralgia,using 3D high-resolution magnetic resonance imaging methods and fusion technologies.Methods:The analysis of the anatomy of the facial nerve,brain stem and the vascular structures related to this nerve was made in 100 consecutive patients for TN.3D high resolution MRI studies(3D SPGR,T1 enhanced 3D MP-RAGE and T2/T1 3D FIESTA) simultaneous visualization were used to assessed using the software 3D DOCTOR. Results:In 93 patients(93%),there were one or several locals of neurovascular compression (NVC).The superior cerebellar artery was involved in 71 cases(76%),the other vessels including the antero-inferior cerebellar artery,the basilar artery,the vertebral artery,and some venous structures.The mean distance between NVC and nerve origin site in the brainstem was(3.76±2.90) mm).In 39 patients(42%),the vascular compression was located proximally and in 42(45%) the compression was located distally.Nerve dislocation or distortion by the vessel was observed in 30 cases(32%).Conclusions:This 3D high resolution MRI and image fusion technology could be useful for diagnostic and therapeutic decisions in TN.展开更多
Cerebral hypoxia or ischemia results in cell death and cerebral edema, as well as other cellular reactions such as angiogenesis and the reestablishment of functional microvasculature to promote recovery from brain inj...Cerebral hypoxia or ischemia results in cell death and cerebral edema, as well as other cellular reactions such as angiogenesis and the reestablishment of functional microvasculature to promote recovery from brain injury. Vascular endothelial growth factor is expressed in the central nervous system after hypoxic/ischemic brain injury, and is involved in the process of brain repair via the regulation of angiogenesis, neurogenesis, neurite outgrowth, and cerebral edema, which all require vascular endothelial growth factor signaling. In this review, we focus on the role of the vascular endothelial growth factor signaling pathway in the response to hypoxic/ischemic brain injury, and discuss potential therapeutic interventions.展开更多
Meningioma is a common intracranial tumor in adults.Pediatric cases account for approximately 1.5% of all intracranial meningiomas,and very few cases show malignant histological features.Primary pediatric malignant me...Meningioma is a common intracranial tumor in adults.Pediatric cases account for approximately 1.5% of all intracranial meningiomas,and very few cases show malignant histological features.Primary pediatric malignant meningioma in the cerebellopontine angle is extremely uncommon.Herein,we report a 2-yearold girl with malignant meningioma in the cerebellopontine angle.The clinical features,diagnosis,and treatment protocol are discussed.展开更多
Objective:To explore the inhihitive and apoptosis inductive effect of IL-24 genes on CD133^+laryngeal cancer cells in Hep-2 line.Methods:Human peripheral blood monocytes were isolated.The total RNA was extracted by us...Objective:To explore the inhihitive and apoptosis inductive effect of IL-24 genes on CD133^+laryngeal cancer cells in Hep-2 line.Methods:Human peripheral blood monocytes were isolated.The total RNA was extracted by using Trizol method and reverse transcripted into cDNA using RT-PCR method.Primers P1 and P2 was designed for the amplification of human IL-24 genes.After confirmation of agarose gel electrophoresis tests,TA was cloned into pMD19-T simple vector.Nhe Ⅰ and Xho Ⅰ double digesting human IL-24 and pIRES2-ZsGreen1 and eukaryotic expression vector were used to establish the pIRES2-ZsGreen1-hIL-24 vector,and detected by enzyme digestion and gene sequencing methods.Flow cytometry(FCM) was used to isolate CD133^+ cells from Hep-2 cells.CD133^+ cells were transfected with pIRES2-ZsGreen1-hIL-24 through liposome 2000.After detection,MTT and FCM were used to observe the effect of IL-24 gene on CD133^+ laryngeal cancer Hep-2 cells.Results:Lipotin mediated transfection of recombinant pIRES2-ZsGreen1-hIL-24 plasmid into CD133^+ Hep-2 could expressed IL-24 gene in cells stably.MTT results showed that IL-24 transfected group was significantly suppressed compared to empty vector group and control group(P<0.05);FCM results showed that the apoptosis rate of experimental group increased significantly compared to empty vector group and control group(P<0.05).Conclusions:IL-24 gene expressions can inhibit proliferation of CD133^+laryngeal cells in Hep-2 line and promote their apoptosis.展开更多
Column setup has been widely utilized in the petroleum and chemistry industries. However, with the fast progress of industries and the increasingly serious energy shortage, designing a new column setup with better per...Column setup has been widely utilized in the petroleum and chemistry industries. However, with the fast progress of industries and the increasingly serious energy shortage, designing a new column setup with better performance and higher capacity becomes more urgent. In order to improve column's capacity and expand operating condition, a new type of column tray named novel vertical spray packing(NVSP) tray was designed and experimented. The performances of the novel tray, including pressure drop, weeping, entrainment and tray efficiency, were tested in a plexiglass column. In addition, performances of the novel tray were compared with that of the sieve tray and the Glitsch V1 valve tray. Based on the experiment data, the mathematical correlations of pressure drop, weeping and entrainment for the novel tray were established by regression analysis method. A fundamental model of dry pressure drop of the novel tray was promoted at the form of sum mode. The results indicate that the novel tray has wider operating condition and better performance.展开更多
The Chinese sturgeon(Acipenser sinensis Gray,1835)is a large anadromous fish species,which is under considerable threat due to dramatic declines in population numbers.In the current study,population genetic diversity ...The Chinese sturgeon(Acipenser sinensis Gray,1835)is a large anadromous fish species,which is under considerable threat due to dramatic declines in population numbers.In the current study,population genetic diversity and individual reproductive success were assessed using nuclear microsatellite markers(simple sequence repeat,SSR)and complete mitochondrial(mt DNA)genome analysis of juveniles born in 2014.Results showed the existence of size polymorphism in the mt DNA genome of Chinese sturgeon,which was caused by a repeat motif.Population genetic diversity was high based on both SSR(Ho:0.728±0.211;He:0.779±0.122)and mt DNA genome analyses(H:0.876±0.0035;Pi:0.0011±0.0010).A positive inbreeding coefficient(FIS:0.066±0.143)was also found,indicating the occurrence of inbreeding.Reconstruction of sibling groups identified 11 mothers and 11 fathers involved in reproduction of Chinese sturgeons in 2014.Variance in individual reproductive success was not significant,with reproductive success of parent fish instead shown to be relatively even(P=0.997>0.05),thus suggesting the absence of sweepstakes reproductive success(SRS).These results indicate that,in regard to conservation,loss of genetic diversity due to the effects of SRS is not of particular concern.However,we must focus on having an adequate number of adults and suitable environmental conditions to ensure that fish can reproduce.展开更多
基金supported by the Chinese Scholarship Council(Nos.202208320055 and 202108320111)the support from the energy department of Aalborg University was acknowledged.
文摘Utilizing machine learning techniques for data-driven diagnosis of high temperature PEM fuel cells is beneficial and meaningful to the system durability. Nevertheless, ensuring the robustness of diagnosis remains a critical and challenging task in real application. To enhance the robustness of diagnosis and achieve a more thorough evaluation of diagnostic performance, a robust diagnostic procedure based on electrochemical impedance spectroscopy (EIS) and a new method for evaluation of the diagnosis robustness was proposed and investigated in this work. To improve the diagnosis robustness: (1) the degradation mechanism of different faults in the high temperature PEM fuel cell was first analyzed via the distribution of relaxation time of EIS to determine the equivalent circuit model (ECM) with better interpretability, simplicity and accuracy;(2) the feature extraction was implemented on the identified parameters of the ECM and extra attention was paid to distinguishing between the long-term normal degradation and other faults;(3) a Siamese Network was adopted to get features with higher robustness in a new embedding. The diagnosis was conducted using 6 classic classification algorithms—support vector machine (SVM), K-nearest neighbor (KNN), logistic regression (LR), decision tree (DT), random forest (RF), and Naive Bayes employing a dataset comprising a total of 1935 collected EIS. To evaluate the robustness of trained models: (1) different levels of errors were added to the features for performance evaluation;(2) a robustness coefficient (Roubust_C) was defined for a quantified and explicit evaluation of the diagnosis robustness. The diagnostic models employing the proposed feature extraction method can not only achieve the higher performance of around 100% but also higher robustness for diagnosis models. Despite the initial performance being similar, the KNN demonstrated a superior robustness after feature selection and re-embedding by triplet-loss method, which suggests the necessity of robustness evaluation for the machine learning models and the effectiveness of the defined robustness coefficient. This work hopes to give new insights to the robust diagnosis of high temperature PEM fuel cells and more comprehensive performance evaluation of the data-driven method for diagnostic application.
基金funded by China Scholarship Council.The fund number is 202108320111 and 202208320055。
文摘State of health(SOH)estimation of e-mobilities operated in real and dynamic conditions is essential and challenging.Most of existing estimations are based on a fixed constant current charging and discharging aging profiles,which overlooked the fact that the charging and discharging profiles are random and not complete in real application.This work investigates the influence of feature engineering on the accuracy of different machine learning(ML)-based SOH estimations acting on different recharging sub-profiles where a realistic battery mission profile is considered.Fifteen features were extracted from the battery partial recharging profiles,considering different factors such as starting voltage values,charge amount,and charging sliding windows.Then,features were selected based on a feature selection pipeline consisting of filtering and supervised ML-based subset selection.Multiple linear regression(MLR),Gaussian process regression(GPR),and support vector regression(SVR)were applied to estimate SOH,and root mean square error(RMSE)was used to evaluate and compare the estimation performance.The results showed that the feature selection pipeline can improve SOH estimation accuracy by 55.05%,2.57%,and 2.82%for MLR,GPR and SVR respectively.It was demonstrated that the estimation based on partial charging profiles with lower starting voltage,large charge,and large sliding window size is more likely to achieve higher accuracy.This work hopes to give some insights into the supervised ML-based feature engineering acting on random partial recharges on SOH estimation performance and tries to fill the gap of effective SOH estimation between theoretical study and real dynamic application.
文摘<b>Objective:</b> To investigate the bioinformatics of differentially expressed proteins in plasma in patients with acute cerebral infarction associated with H-type hypertension. <b>Methods:</b> Gene chip public database (gene expression omnibus, GEO) GDS4521 chip data, in the chip in 30 cases of H patients with acute cerebral infarction with high blood pressure and age, gender, matching the 20 H hypertension patients as the research object, collects the mononuclear cells (PBMCs) is used to detect the gene chip, using the GO (gene Ontology, GO), protein function analysis tools such as KEGG, screening and analysis of enrichment of differentially expressed genes function and related signaling pathway. <b>Results:</b> 31 genes in PBMCs were significantly changed in h-type hypertension and H-type hypertension with acute cerebral infarction, 32 of which were increased and 2 of which were decreased. GO analysis showed that in terms of biological processes, the genes related to inflammatory response and neutrophil chemotaxis were the most. In terms of molecular function, chemokine activity-related genes are the most. KEGG signaling pathway analysis showed that the most differentially expressed genes were located in the TNF signaling pathway. <b>Conclusion:</b> H-type hypertension with acute cerebral infarction has a variety of functional proteins and signaling pathways changes, suggesting that inflammatory response in H-type hypertension with acute cerebral infarction recovery period may still play a role in the prognosis and reactivation of the disease.
基金funded by China Scholarship Council,The fund numbers are 202108320111,202208320055。
文摘Lithium-ion batteries are the most widely used energy storage devices,for which the accurate prediction of the remaining useful life(RUL)is crucial to their reliable operation and accident prevention.This work thoroughly investigates the developmental trend of RUL prediction with machine learning(ML)algorithms based on the objective screening and statistics of related papers over the past decade to analyze the research core and find future improvement directions.The possibility of extending lithium-ion battery lifetime using RUL prediction results is also explored in this paper.The ten most used ML algorithms for RUL prediction are first identified in 380 relevant papers.Then the general flow of RUL prediction and an in-depth introduction to the four most used signal pre-processing techniques in RUL prediction are presented.The research core of common ML algorithms is given first time in a uniform format in chronological order.The algorithms are also compared from aspects of accuracy and characteristics comprehensively,and the novel and general improvement directions or opportunities including improvement in early prediction,local regeneration modeling,physical information fusion,generalized transfer learning,and hardware implementation are further outlooked.Finally,the methods of battery lifetime extension are summarized,and the feasibility of using RUL as an indicator for extending battery lifetime is outlooked.Battery lifetime can be extended by optimizing the charging profile serval times according to the accurate RUL prediction results online in the future.This paper aims to give inspiration to the future improvement of ML algorithms in battery RUL prediction and lifetime extension strategy.
基金supported by Haikou Key Science and Technology Project (2012-075)Haikou Science Technology Information Bureau(2009-049-1)Science Foundation of Haikou Health Bureau(2010-SWY-13-058)
文摘Objective:To evaluate the anatomical characteristics and patterns of neurovascular compression in patients suffering trigeminal neuralgia,using 3D high-resolution magnetic resonance imaging methods and fusion technologies.Methods:The analysis of the anatomy of the facial nerve,brain stem and the vascular structures related to this nerve was made in 100 consecutive patients for TN.3D high resolution MRI studies(3D SPGR,T1 enhanced 3D MP-RAGE and T2/T1 3D FIESTA) simultaneous visualization were used to assessed using the software 3D DOCTOR. Results:In 93 patients(93%),there were one or several locals of neurovascular compression (NVC).The superior cerebellar artery was involved in 71 cases(76%),the other vessels including the antero-inferior cerebellar artery,the basilar artery,the vertebral artery,and some venous structures.The mean distance between NVC and nerve origin site in the brainstem was(3.76±2.90) mm).In 39 patients(42%),the vascular compression was located proximally and in 42(45%) the compression was located distally.Nerve dislocation or distortion by the vessel was observed in 30 cases(32%).Conclusions:This 3D high resolution MRI and image fusion technology could be useful for diagnostic and therapeutic decisions in TN.
基金supported by the National Natural Science Foundation of China,No.81401238,81330016,31171020,81172174 and 81270724the grants from Ministry of Education of China,No.313037,20110181130002+2 种基金a grant from State Commission of Science Technology of China,No.2012BAI04B04the grants from Science and Technology Bureau of Sichuan Province of China,No.2012SZ0010,2014FZ0113,2014SZ0149a grant from Clinical Discipline Program(Neonatology)from the Ministry of Health of China,No.1311200003303
文摘Cerebral hypoxia or ischemia results in cell death and cerebral edema, as well as other cellular reactions such as angiogenesis and the reestablishment of functional microvasculature to promote recovery from brain injury. Vascular endothelial growth factor is expressed in the central nervous system after hypoxic/ischemic brain injury, and is involved in the process of brain repair via the regulation of angiogenesis, neurogenesis, neurite outgrowth, and cerebral edema, which all require vascular endothelial growth factor signaling. In this review, we focus on the role of the vascular endothelial growth factor signaling pathway in the response to hypoxic/ischemic brain injury, and discuss potential therapeutic interventions.
文摘Meningioma is a common intracranial tumor in adults.Pediatric cases account for approximately 1.5% of all intracranial meningiomas,and very few cases show malignant histological features.Primary pediatric malignant meningioma in the cerebellopontine angle is extremely uncommon.Herein,we report a 2-yearold girl with malignant meningioma in the cerebellopontine angle.The clinical features,diagnosis,and treatment protocol are discussed.
基金supported by Jilin Province Natural Science Foundation of China.No:20130101151JCChinese Ministry of Education Projects of Doctoral New Teachers.No:20120061120092
文摘Objective:To explore the inhihitive and apoptosis inductive effect of IL-24 genes on CD133^+laryngeal cancer cells in Hep-2 line.Methods:Human peripheral blood monocytes were isolated.The total RNA was extracted by using Trizol method and reverse transcripted into cDNA using RT-PCR method.Primers P1 and P2 was designed for the amplification of human IL-24 genes.After confirmation of agarose gel electrophoresis tests,TA was cloned into pMD19-T simple vector.Nhe Ⅰ and Xho Ⅰ double digesting human IL-24 and pIRES2-ZsGreen1 and eukaryotic expression vector were used to establish the pIRES2-ZsGreen1-hIL-24 vector,and detected by enzyme digestion and gene sequencing methods.Flow cytometry(FCM) was used to isolate CD133^+ cells from Hep-2 cells.CD133^+ cells were transfected with pIRES2-ZsGreen1-hIL-24 through liposome 2000.After detection,MTT and FCM were used to observe the effect of IL-24 gene on CD133^+ laryngeal cancer Hep-2 cells.Results:Lipotin mediated transfection of recombinant pIRES2-ZsGreen1-hIL-24 plasmid into CD133^+ Hep-2 could expressed IL-24 gene in cells stably.MTT results showed that IL-24 transfected group was significantly suppressed compared to empty vector group and control group(P<0.05);FCM results showed that the apoptosis rate of experimental group increased significantly compared to empty vector group and control group(P<0.05).Conclusions:IL-24 gene expressions can inhibit proliferation of CD133^+laryngeal cells in Hep-2 line and promote their apoptosis.
基金Supported by the Central College Research Fund(JL1101)the National Natural Science Foundation of China(21121064,21076008)
文摘Column setup has been widely utilized in the petroleum and chemistry industries. However, with the fast progress of industries and the increasingly serious energy shortage, designing a new column setup with better performance and higher capacity becomes more urgent. In order to improve column's capacity and expand operating condition, a new type of column tray named novel vertical spray packing(NVSP) tray was designed and experimented. The performances of the novel tray, including pressure drop, weeping, entrainment and tray efficiency, were tested in a plexiglass column. In addition, performances of the novel tray were compared with that of the sieve tray and the Glitsch V1 valve tray. Based on the experiment data, the mathematical correlations of pressure drop, weeping and entrainment for the novel tray were established by regression analysis method. A fundamental model of dry pressure drop of the novel tray was promoted at the form of sum mode. The results indicate that the novel tray has wider operating condition and better performance.
基金This study was funded by the National Key R&D Program of China(2018YFD0900801)Strategic Priority Research Program of Chinese Academy of Sciences(XDB31040000)+1 种基金Follow-Up Work of the Three Gorges Project(2136902)and Sino BON-Inland Water Fish Diversity Observation Network。
文摘The Chinese sturgeon(Acipenser sinensis Gray,1835)is a large anadromous fish species,which is under considerable threat due to dramatic declines in population numbers.In the current study,population genetic diversity and individual reproductive success were assessed using nuclear microsatellite markers(simple sequence repeat,SSR)and complete mitochondrial(mt DNA)genome analysis of juveniles born in 2014.Results showed the existence of size polymorphism in the mt DNA genome of Chinese sturgeon,which was caused by a repeat motif.Population genetic diversity was high based on both SSR(Ho:0.728±0.211;He:0.779±0.122)and mt DNA genome analyses(H:0.876±0.0035;Pi:0.0011±0.0010).A positive inbreeding coefficient(FIS:0.066±0.143)was also found,indicating the occurrence of inbreeding.Reconstruction of sibling groups identified 11 mothers and 11 fathers involved in reproduction of Chinese sturgeons in 2014.Variance in individual reproductive success was not significant,with reproductive success of parent fish instead shown to be relatively even(P=0.997>0.05),thus suggesting the absence of sweepstakes reproductive success(SRS).These results indicate that,in regard to conservation,loss of genetic diversity due to the effects of SRS is not of particular concern.However,we must focus on having an adequate number of adults and suitable environmental conditions to ensure that fish can reproduce.
