Accurate diagnosis of fracture geometry and conductivity is of great challenge due to the complex morphology of volumetric fracture network. In this study, a DNN (deep neural network) model was proposed to predict fra...Accurate diagnosis of fracture geometry and conductivity is of great challenge due to the complex morphology of volumetric fracture network. In this study, a DNN (deep neural network) model was proposed to predict fracture parameters for the evaluation of the fracturing effects. Field experience and the law of fracture volume conservation were incorporated as physical constraints to improve the prediction accuracy due to small amount of data. A combined neural network was adopted to input both static geological and dynamic fracturing data. The structure of the DNN was optimized and the model was validated through k-fold cross-validation. Results indicate that this DNN model is capable of predicting the fracture parameters accurately with a low relative error of under 10% and good generalization ability. The adoptions of the combined neural network, physical constraints, and k-fold cross-validation improve the model performance. Specifically, the root-mean-square error (RMSE) of the model decreases by 71.9% and 56% respectively with the combined neural network as the input model and the consideration of physical constraints. The mean square error (MRE) of fracture parameters reduces by 75% because the k-fold cross-validation improves the rationality of data set dividing. The model based on the DNN with physical constraints proposed in this study provides foundations for the optimization of fracturing design and improves the efficiency of fracture diagnosis in tight oil and gas reservoirs.展开更多
Federated learning(FL)is a decentralized machine learning paradigm,which has significant advantages in protecting data privacy[1].However,FL is vulnerable to poisoning attacks that malicious participants perform attac...Federated learning(FL)is a decentralized machine learning paradigm,which has significant advantages in protecting data privacy[1].However,FL is vulnerable to poisoning attacks that malicious participants perform attacks by injecting dirty data or abnormal model parameters during the local model training and aim to manipulate the performance of the global model[2].展开更多
Constraint-induced movement therapy after cerebral ischemia stimulates axonal growth by decreasing expression levels of Nogo-A,RhoA,and Rho-associated kinase(ROCK)in the ischemic boundary zone.However,it remains uncle...Constraint-induced movement therapy after cerebral ischemia stimulates axonal growth by decreasing expression levels of Nogo-A,RhoA,and Rho-associated kinase(ROCK)in the ischemic boundary zone.However,it remains unclear if there are any associations between the Nogo-A/RhoA/ROCK pathway and angiogenesis in adult rat brains in pathological processes such as ischemic stroke.In addition,it has not yet been reported whether constraint-induced movement therapy can promote angiogenesis in stroke in adult rats by overcoming Nogo-A/RhoA/ROCK signaling.Here,a stroke model was established by middle cerebral artery occlusion and reperfusion.Seven days after stroke,the following treatments were initiated and continued for 3 weeks:forced limb use in constraint-induced movement therapy rats(constraint-induced movement therapy group),intraperitoneal infusion of fasudil(a ROCK inhibitor)in fasudil rats(fasudil group),or lateral ventricular injection of NEP1-40(a specific antagonist of the Nogo-66 receptor)in NEP1-40 rats(NEP1-40 group).Immunohistochemistry and western blot assay results showed that,at 2 weeks after middle cerebral artery occlusion,expression levels of RhoA and ROCK were lower in the ischemic boundary zone in rats treated with NEP1-40 compared with rats treated with ischemia/reperfusion or constraint-induced movement therapy alone.However,at 4 weeks after middle cerebral artery occlusion,expression levels of RhoA and ROCK in the ischemic boundary zone were markedly decreased in the NEP1-40 and constraint-induced movement therapy groups,but there was no difference between these two groups.Compared with the ischemia/reperfusion group,modified neurological severity scores and foot fault scores were lower and time taken to locate the platform was shorter in the constraint-induced movement therapy and fasudil groups at 4 weeks after middle cerebral artery occlusion,especially in the constraint-induced movement therapy group.Immunofluorescent staining demonstrated that fasudil promoted an immune response of nerve-regeneration-related markers(BrdU in combination with CD31(platelet endothelial cell adhesion molecule),Nestin,doublecortin,NeuN,and glial fibrillary acidic protein)in the subventricular zone and ischemic boundary zone ipsilateral to the infarct.After 3 weeks of constraint-induced movement therapy,the number of regenerated nerve cells was noticeably increased,and was accompanied by an increased immune response of tight junctions(claudin-5),a pericyte marker(a-smooth muscle actin),and vascular endothelial growth factor receptor 2.Taken together,the results demonstrate that,compared with fasudil,constraint-induced movement therapy led to stronger angiogenesis and nerve regeneration ability and better nerve functional recovery at 4 weeks after cerebral ischemia/reperfusion.In addition,constraint-induced movement therapy has the same degree of inhibition of RhoA and ROCK as NEP1-40.Therefore,constraint-induced movement therapy promotes angiogenesis and neurogenesis after cerebral ischemia/reperfusion injury,at least in part by overcoming the Nogo-A/RhoA/ROCK signaling pathway.All protocols were approved by the Institutional Animal Care and Use Committee of China Medical University,China on December 9,2015(approval No.2015 PS326 K).展开更多
The phenomenon of phase transition in constraint satisfaction problems (CSPs) plays a crucial role in the field of artificial intelligence and computational complexity theory. In this paper, we propose a new random CS...The phenomenon of phase transition in constraint satisfaction problems (CSPs) plays a crucial role in the field of artificial intelligence and computational complexity theory. In this paper, we propose a new random CSP called d-p-RB model, which is a generalization of RB model on domain size d and constraint tightness p. In this model, the variable domain size d?Ε [ nα, nny], and all constraints are uniformly divided into several groups with different constraint tightness p. It is proved by the second moment method that the d-p-RB model undergoes phase transition from a region where almost all instances are satisfiable to a region where almost all instances are unsatisfiable as the control parameter increases. Moreover, the threshold value at which the phase transition occurs is located exactly.展开更多
The dynamical cluster-decay model (DCM) is employed to investigate the decay of ^(6870)Ge~* compound nuclei formed respectively via tightly (~4He) and loosely (~6He) bound projectiles, using ^(64)Zn target. The study ...The dynamical cluster-decay model (DCM) is employed to investigate the decay of ^(6870)Ge~* compound nuclei formed respectively via tightly (~4He) and loosely (~6He) bound projectiles, using ^(64)Zn target. The study is carried out over a wide energy range (E_(c.m.)～5 MeV to 16 MeV) by including the quadrupole deformations (β_(2i)) and optimum orientations (θ_i^(opt)) of the decaying fragments. The fusion cross-sections, obtained by adding various evaporation channels show nice agreement with the experimental data for ~4He+^(64)Zn reaction. The contribution from competing compound inelastic scattering channel is also analyzed particularly for ^(68)Ge~* nucleus at above barrier energies. On the other hand,the decrement in the fusion cross-sections of ^(70)Ge~* nuclear system is addressed by presuming that ^(65)Zn ER is formed via two different modes:(i) the αn evaporation of ^(70Ge)~* nucleus, and(ii) 1n-evaporation of ^(66)Zn~*nuclear system,formed via breakup and 2n-transfer channels due to halo structure of the ~6He projectile. Besides this, the suppression in2 np evaporation cross-sections suggests the contribution of another breakup and transfer process of ~6He i.e. ~4He+ ^(64)Zn.The contribution of breakup+transfer channels for ~6He+^(64)Zn reaction is duly addressed by applying relevant energy corrections due to the breakup of "~6He" projectile into 2n and ~4He. In addition to this, the barrier lowering, angular momentum and energy dependence effects are also explored in view of the dynamics of chosen reactions.展开更多
对2300 mm CVC六辊冷轧机轧制3102合金空调箔边紧问题进行分析研究,主要因为轧辊边部散热大,热凸度不均,导致边紧肋松缺陷。通过调整输入宽度,增加板型辊测量环覆盖率,调整前后张力,增大C4和A16板形目标曲线系数,有效改善边紧肋松板形缺...对2300 mm CVC六辊冷轧机轧制3102合金空调箔边紧问题进行分析研究,主要因为轧辊边部散热大,热凸度不均,导致边紧肋松缺陷。通过调整输入宽度,增加板型辊测量环覆盖率,调整前后张力,增大C4和A16板形目标曲线系数,有效改善边紧肋松板形缺陷,并将裂变宽度由10 mm控制到5 mm以内,提高了空调箔坯料成品率。展开更多
基金supported by the National Natural Science Foundation of China(Grant No.52174044,52004302)Science Foundation of China University of Petroleum,Beijing(No.ZX20200134,2462021YXZZ012)the Strategic Cooperation Technology Projects of CNPC and CUPB(ZLZX 2020-01-07).
文摘Accurate diagnosis of fracture geometry and conductivity is of great challenge due to the complex morphology of volumetric fracture network. In this study, a DNN (deep neural network) model was proposed to predict fracture parameters for the evaluation of the fracturing effects. Field experience and the law of fracture volume conservation were incorporated as physical constraints to improve the prediction accuracy due to small amount of data. A combined neural network was adopted to input both static geological and dynamic fracturing data. The structure of the DNN was optimized and the model was validated through k-fold cross-validation. Results indicate that this DNN model is capable of predicting the fracture parameters accurately with a low relative error of under 10% and good generalization ability. The adoptions of the combined neural network, physical constraints, and k-fold cross-validation improve the model performance. Specifically, the root-mean-square error (RMSE) of the model decreases by 71.9% and 56% respectively with the combined neural network as the input model and the consideration of physical constraints. The mean square error (MRE) of fracture parameters reduces by 75% because the k-fold cross-validation improves the rationality of data set dividing. The model based on the DNN with physical constraints proposed in this study provides foundations for the optimization of fracturing design and improves the efficiency of fracture diagnosis in tight oil and gas reservoirs.
基金This work was supported by the MoST Science and Technology Innovation Project of Xiong'an(2022XAGG0115)the National Natural Science Foundation of China(Grant Nos.62202011,62172010).
文摘Federated learning(FL)is a decentralized machine learning paradigm,which has significant advantages in protecting data privacy[1].However,FL is vulnerable to poisoning attacks that malicious participants perform attacks by injecting dirty data or abnormal model parameters during the local model training and aim to manipulate the performance of the global model[2].
基金supported by the National Natural Science Foundation of China(General Program),No.81771271(to JF)
文摘Constraint-induced movement therapy after cerebral ischemia stimulates axonal growth by decreasing expression levels of Nogo-A,RhoA,and Rho-associated kinase(ROCK)in the ischemic boundary zone.However,it remains unclear if there are any associations between the Nogo-A/RhoA/ROCK pathway and angiogenesis in adult rat brains in pathological processes such as ischemic stroke.In addition,it has not yet been reported whether constraint-induced movement therapy can promote angiogenesis in stroke in adult rats by overcoming Nogo-A/RhoA/ROCK signaling.Here,a stroke model was established by middle cerebral artery occlusion and reperfusion.Seven days after stroke,the following treatments were initiated and continued for 3 weeks:forced limb use in constraint-induced movement therapy rats(constraint-induced movement therapy group),intraperitoneal infusion of fasudil(a ROCK inhibitor)in fasudil rats(fasudil group),or lateral ventricular injection of NEP1-40(a specific antagonist of the Nogo-66 receptor)in NEP1-40 rats(NEP1-40 group).Immunohistochemistry and western blot assay results showed that,at 2 weeks after middle cerebral artery occlusion,expression levels of RhoA and ROCK were lower in the ischemic boundary zone in rats treated with NEP1-40 compared with rats treated with ischemia/reperfusion or constraint-induced movement therapy alone.However,at 4 weeks after middle cerebral artery occlusion,expression levels of RhoA and ROCK in the ischemic boundary zone were markedly decreased in the NEP1-40 and constraint-induced movement therapy groups,but there was no difference between these two groups.Compared with the ischemia/reperfusion group,modified neurological severity scores and foot fault scores were lower and time taken to locate the platform was shorter in the constraint-induced movement therapy and fasudil groups at 4 weeks after middle cerebral artery occlusion,especially in the constraint-induced movement therapy group.Immunofluorescent staining demonstrated that fasudil promoted an immune response of nerve-regeneration-related markers(BrdU in combination with CD31(platelet endothelial cell adhesion molecule),Nestin,doublecortin,NeuN,and glial fibrillary acidic protein)in the subventricular zone and ischemic boundary zone ipsilateral to the infarct.After 3 weeks of constraint-induced movement therapy,the number of regenerated nerve cells was noticeably increased,and was accompanied by an increased immune response of tight junctions(claudin-5),a pericyte marker(a-smooth muscle actin),and vascular endothelial growth factor receptor 2.Taken together,the results demonstrate that,compared with fasudil,constraint-induced movement therapy led to stronger angiogenesis and nerve regeneration ability and better nerve functional recovery at 4 weeks after cerebral ischemia/reperfusion.In addition,constraint-induced movement therapy has the same degree of inhibition of RhoA and ROCK as NEP1-40.Therefore,constraint-induced movement therapy promotes angiogenesis and neurogenesis after cerebral ischemia/reperfusion injury,at least in part by overcoming the Nogo-A/RhoA/ROCK signaling pathway.All protocols were approved by the Institutional Animal Care and Use Committee of China Medical University,China on December 9,2015(approval No.2015 PS326 K).
文摘The phenomenon of phase transition in constraint satisfaction problems (CSPs) plays a crucial role in the field of artificial intelligence and computational complexity theory. In this paper, we propose a new random CSP called d-p-RB model, which is a generalization of RB model on domain size d and constraint tightness p. In this model, the variable domain size d?Ε [ nα, nny], and all constraints are uniformly divided into several groups with different constraint tightness p. It is proved by the second moment method that the d-p-RB model undergoes phase transition from a region where almost all instances are satisfiable to a region where almost all instances are unsatisfiable as the control parameter increases. Moreover, the threshold value at which the phase transition occurs is located exactly.
基金Supported by CSIR-Scheme No.03(1341)/15/EMR-IIthe University Grants Commission(UGC),in the form of Maulana Azad National Fellowship(MANF)
文摘The dynamical cluster-decay model (DCM) is employed to investigate the decay of ^(6870)Ge~* compound nuclei formed respectively via tightly (~4He) and loosely (~6He) bound projectiles, using ^(64)Zn target. The study is carried out over a wide energy range (E_(c.m.)～5 MeV to 16 MeV) by including the quadrupole deformations (β_(2i)) and optimum orientations (θ_i^(opt)) of the decaying fragments. The fusion cross-sections, obtained by adding various evaporation channels show nice agreement with the experimental data for ~4He+^(64)Zn reaction. The contribution from competing compound inelastic scattering channel is also analyzed particularly for ^(68)Ge~* nucleus at above barrier energies. On the other hand,the decrement in the fusion cross-sections of ^(70)Ge~* nuclear system is addressed by presuming that ^(65)Zn ER is formed via two different modes:(i) the αn evaporation of ^(70Ge)~* nucleus, and(ii) 1n-evaporation of ^(66)Zn~*nuclear system,formed via breakup and 2n-transfer channels due to halo structure of the ~6He projectile. Besides this, the suppression in2 np evaporation cross-sections suggests the contribution of another breakup and transfer process of ~6He i.e. ~4He+ ^(64)Zn.The contribution of breakup+transfer channels for ~6He+^(64)Zn reaction is duly addressed by applying relevant energy corrections due to the breakup of "~6He" projectile into 2n and ~4He. In addition to this, the barrier lowering, angular momentum and energy dependence effects are also explored in view of the dynamics of chosen reactions.
文摘对2300 mm CVC六辊冷轧机轧制3102合金空调箔边紧问题进行分析研究,主要因为轧辊边部散热大,热凸度不均,导致边紧肋松缺陷。通过调整输入宽度,增加板型辊测量环覆盖率,调整前后张力,增大C4和A16板形目标曲线系数,有效改善边紧肋松板形缺陷,并将裂变宽度由10 mm控制到5 mm以内,提高了空调箔坯料成品率。
