Social dysfunction is a risk factor for several neuropsychiatric illnesses.Previous studies have shown that the lateral septum(LS)-related pathway plays a critical role in mediating social behaviors.Howeve r,the role ...Social dysfunction is a risk factor for several neuropsychiatric illnesses.Previous studies have shown that the lateral septum(LS)-related pathway plays a critical role in mediating social behaviors.Howeve r,the role of the connections between the LS and its downstream brain regions in social behavio rs remains unclea r.In this study,we conducted a three-chamber test using electrophysiological and chemogenetic approaches in mice to determine how LS projections to ventral CA1(vCA1)influence sociability.Our res ults showed that gamma-aminobutyric acid(GABA)-e rgic neuro ns were activated following social experience,and that social behavio rs were enhanced by chemogenetic modulation of these neurons.Moreover,LS GABAergic neurons extended their functional neural connections via vCA1 glutamatergic pyramidal neurons,and regulating LSGABA→vCA1Gluneural projections affected social behaviors,which were impeded by suppressing LSprojecting vCA1 neuronal activity or inhibiting GABAAreceptors in vCA1.These findings support the hypothesis that LS inputs to the vCA1 can control social prefe rences and social novelty behaviors.These findings provide new insights rega rding the neural circuits that regulate sociability.展开更多
With the help of the variable-coefficient generalized projected Ricatti equation expansion method,we present exact solutions for the generalized(2+1)-dimensional nonlinear Schrdinger equation with variable coefficie...With the help of the variable-coefficient generalized projected Ricatti equation expansion method,we present exact solutions for the generalized(2+1)-dimensional nonlinear Schrdinger equation with variable coefficients.These solutions include solitary wave solutions,soliton-like solutions and trigonometric function solutions.Among these solutions,some are found for the first time.展开更多
In order to solve the problem of low accuracy of construction project duration prediction, this paper proposes a CNN attention BP combination model </span><span style="font-family:"white-space:...In order to solve the problem of low accuracy of construction project duration prediction, this paper proposes a CNN attention BP combination model </span><span style="font-family:"white-space:normal;">project risk prediction model based on attention mechanism, one-dimensional </span><span style="font-family:"white-space:normal;">convolutional neural network (1d-cnn) and BP neural network. Firstly, the literature analysis method is used to select the risk evaluation index value of construction project, and the attention mechanism is used to determine the weight of risk factors on construction period prediction;then, BP neural network is used to predict the project duration, and accuracy, cross entropy loss function and F1 score are selected to comprehensively evaluate the performance of 1d-cnn-attention-bp combined model. The experimental results show that the duration risk prediction accuracy of the risk prediction model proposed in this paper is more than 90%, which can meet the risk prediction of construction projects with high accuracy.展开更多
以蛹虫草子实体为材料,经水提醇沉后获得沉淀样品 P 和上清样品 L,初步抗 HIV-1蛋白酶检测显示活性成份集中在样品 L 中.进一步利用大孔吸附树脂和高压液相对 L 进行分离纯化,并对纯化样品的体外抗HIV-1蛋白酶活性和抗 HIV-1逆转录酶活...以蛹虫草子实体为材料,经水提醇沉后获得沉淀样品 P 和上清样品 L,初步抗 HIV-1蛋白酶检测显示活性成份集中在样品 L 中.进一步利用大孔吸附树脂和高压液相对 L 进行分离纯化,并对纯化样品的体外抗HIV-1蛋白酶活性和抗 HIV-1逆转录酶活性进行了测定.结果显示,L 经大孔吸附树脂和高压液相分离纯化后得到三种物质均具有抗 HIV-1蛋白酶活性 f1,f2和 f3,其中 f1对 HIV-1蛋白酶抑制作用最强,比 L 提高了约29%;三种物质对 HIV-1逆转录酶均有一定的抑制作用.展开更多
基金supported by the National Natural Science Foundation of China,No.82171521(to CL)the Special Funds ofTaishan Scholars Project of Shandong Province,No.tsqn202211368(to CL)+2 种基金the Natural Science Foundation of Shandong Province,Nos.ZR2022YQ65(to CL),ZR2021MH073(to CL),ZR2019PH109(to WW)the Projects of Medical and Health Technology Development Program in Shandong Province,China,Nos.202003090720(to DZ),202003070728(to JL),2019 WS329(to DW)the Scientific Research Foundation of Binzhou Medical University,No.BY2018KJ21(to DW)。
文摘Social dysfunction is a risk factor for several neuropsychiatric illnesses.Previous studies have shown that the lateral septum(LS)-related pathway plays a critical role in mediating social behaviors.Howeve r,the role of the connections between the LS and its downstream brain regions in social behavio rs remains unclea r.In this study,we conducted a three-chamber test using electrophysiological and chemogenetic approaches in mice to determine how LS projections to ventral CA1(vCA1)influence sociability.Our res ults showed that gamma-aminobutyric acid(GABA)-e rgic neuro ns were activated following social experience,and that social behavio rs were enhanced by chemogenetic modulation of these neurons.Moreover,LS GABAergic neurons extended their functional neural connections via vCA1 glutamatergic pyramidal neurons,and regulating LSGABA→vCA1Gluneural projections affected social behaviors,which were impeded by suppressing LSprojecting vCA1 neuronal activity or inhibiting GABAAreceptors in vCA1.These findings support the hypothesis that LS inputs to the vCA1 can control social prefe rences and social novelty behaviors.These findings provide new insights rega rding the neural circuits that regulate sociability.
基金Supported by the Science Research Foundation of Zhanjiang Normal University(L0803)
文摘With the help of the variable-coefficient generalized projected Ricatti equation expansion method,we present exact solutions for the generalized(2+1)-dimensional nonlinear Schrdinger equation with variable coefficients.These solutions include solitary wave solutions,soliton-like solutions and trigonometric function solutions.Among these solutions,some are found for the first time.
文摘In order to solve the problem of low accuracy of construction project duration prediction, this paper proposes a CNN attention BP combination model </span><span style="font-family:"white-space:normal;">project risk prediction model based on attention mechanism, one-dimensional </span><span style="font-family:"white-space:normal;">convolutional neural network (1d-cnn) and BP neural network. Firstly, the literature analysis method is used to select the risk evaluation index value of construction project, and the attention mechanism is used to determine the weight of risk factors on construction period prediction;then, BP neural network is used to predict the project duration, and accuracy, cross entropy loss function and F1 score are selected to comprehensively evaluate the performance of 1d-cnn-attention-bp combined model. The experimental results show that the duration risk prediction accuracy of the risk prediction model proposed in this paper is more than 90%, which can meet the risk prediction of construction projects with high accuracy.
基金Supported by the Natural Science Foundation of Zhejiang Province under Grant Nos.Y604106, Y606128the Scientific Research Fund of Zhejiang Provincial Education Department of China under Grant No.20070568the Natural Science Foundation of Zhejiang Lishui University under Grant No.KY08003
文摘以蛹虫草子实体为材料,经水提醇沉后获得沉淀样品 P 和上清样品 L,初步抗 HIV-1蛋白酶检测显示活性成份集中在样品 L 中.进一步利用大孔吸附树脂和高压液相对 L 进行分离纯化,并对纯化样品的体外抗HIV-1蛋白酶活性和抗 HIV-1逆转录酶活性进行了测定.结果显示,L 经大孔吸附树脂和高压液相分离纯化后得到三种物质均具有抗 HIV-1蛋白酶活性 f1,f2和 f3,其中 f1对 HIV-1蛋白酶抑制作用最强,比 L 提高了约29%;三种物质对 HIV-1逆转录酶均有一定的抑制作用.
