Abstract: A multistage centrifugal compressor capable of maintaining and improving efficiency while having a static flow path with a reduced outer diameter is provided. Each of return flow paths is provided with a plurality of return vanes disposed in a circular cascade form centered on a center line of a rotational shaft. Each of the return vanes is disposed as a leading vane (8A) and a trailing vane (8B). The trailing vanes are offset toward the pressure surface side of the leading vanes in a circumferential direction and provided so as to guide a flow from the pressure surface side of the leading vanes to negative pressure surfaces of the trailing vanes.

Abstract: A separator for an electricity storage device comprising a silane-modified polyolefin, wherein silane crosslinking reaction of the silane-modified polyolefin is initiated when it contacts with the electrolyte solution, as well as a method for producing the separator.

Abstract: A centrifugal compressor including: a diffuser in which a fluid flows in a centrifugal direction away from a rotary shaft; a return flow path which is provided downstream of the diffuser and in which fluid flowing in to a later-stage centrifugal impeller from the diffuser flows in a return direction back to the rotary shaft; a plurality of return vanes that are disposed in the shape of a circular vane centered on a centerline of the rotary shaft, and are installed in the return flow path; and a turning part, wherein an inlet blade angle (?) of an outlet guide vane provided to the downstream side, of the return vanes, is lying down more in the circumferential direction with respect to an inlet blade angle (?) of a inlet guide vane provided to the upstream side, of the return vanes (?<?).

Abstract: There is provided a method for producing a separator for an electricity storage device that includes a step of contacting a porous body formed from a silane-modified polyolefin-containing molded sheet with a base solution or acid solution, and a separator for an electricity storage device comprising a microporous film with a melted film rupture temperature of 180° C. to 220° C. as measured by thermomechanical analysis (TMA).

Abstract: A computer implemented method trains an image recognition model. A set of processor units creates a saliency map of an original image. The set of processor units superimposes the saliency map on the original image to form an augmented image, wherein the augmented image is used to train the image recognition model.

Abstract: A separator for an electricity storage device comprising a silane-modified polyolefin, wherein silane crosslinking reaction of the silane-modified polyolefin is initiated when it contacts with the electrolyte solution, as well as a method for producing the separator.

Abstract: A separator for an electricity storage device comprising a silane-modified polyolefin, wherein silane crosslinking reaction of the silane-modified polyolefin is initiated when it contacts with the electrolyte solution, as well as a method for producing the separator.

Abstract: A separator for an electricity storage device comprising a silane-modified polyolefin, wherein silane crosslinking reaction of the silane-modified polyolefin is initiated when it contacts with the electrolyte solution, as well as a method for producing the separator.

Abstract: A separator for an electricity storage device comprising a silane-modified polyolefin, wherein silane crosslinking reaction of the silane-modified polyolefin is initiated when it contacts with the electrolyte solution, as well as a method for producing the separator.

Abstract: There is provided a method for producing a separator for an electricity storage device that includes a step of contacting a porous body formed from a silane-modified polyolefin-containing molded sheet with a base solution or acid solution, and a separator for an electricity storage device comprising a microporous film with a melted film rupture temperature of 180° C. to 220° C. as measured by thermomechanical analysis (TMA).

Abstract: There is provided a method for producing a separator for an electricity storage device that includes a step of contacting a porous body formed from a silane-modified polyolefin-containing molded sheet with a base solution or acid solution, and a separator for an electricity storage device comprising a microporous film with a melted film rupture temperature of 180° C. to 220° C. as measured by thermomechanical analysis (TMA).

Abstract: A determination is made of an explanatory variable with respect to an objective variable. A subset of data from data to be analyzed is created, in response to setting the objective variable to be analyzed to perform analysis. Association analysis is applied to analysis results, in response to a number of analysis runs exceeding a predetermined number. An association rule is derived for the explanatory variable from a result of the association analysis. An explanatory variable having a relevance value greater than a threshold value with the objective variable in the data to be analyzed is selected. The selected explanatory variable is scored as an input using the association rule to determine whether the explanatory variable is to be added or removed.

Abstract: The purpose of the present invention is to provide: a safer polyolefin microporous membrane; a storage device separator, storage device assembly kit, and storage device using the polyolefin microporous membrane; and a storage device. In one embodiment, the polyolefin microporous membrane comprises at least one of each of layer A and layer B, polyolefin contained in at least one of layer A and layer B has one or more types of functional groups, and a crosslinked structure is formed by (1) the functional groups undergoing condensation reactions with each other, (2) the functional group reacting with a chemical substance inside the storage device, or (3) the functional group reacting with a different type of functional group, after accommodation in the storage device.

Abstract: The purpose of the present disclosure is to provide: a safer polyolefin microporous membrane; an electricity storage device separator, electricity storage device assembly kit, and electricity storage device using the polyolefin microporous membrane; and an electricity storage device. In one embodiment, the polyolefin microporous membrane comprises at least one of each of a layer A and a layer B, a polyolefin contained in at least one of the layer A and the layer B has one or more types of functional groups, and a crosslinked structure is formed by (1) the functional groups undergoing condensation reactions with each other, (2) the functional group reacting with a chemical substance inside the electricity storage device, or (3) the functional group reacting with a different type of functional group, after accommodation in the electricity storage device.

Abstract: A determination is made of an explanatory variable with respect to an objective variable. A subset of data from data to be analyzed is created, in response to setting the objective variable to be analyzed to perform analysis. Association analysis is applied to analysis results, in response to a number of analysis runs exceeding a predetermined number. An association rule is derived for the explanatory variable from a result of the association analysis. An explanatory variable having a relevance value greater than a threshold value with the objective variable in the data to be analyzed is selected. The selected explanatory variable is scored as an input using the association rule to determine whether the explanatory variable is to be added or removed.

Abstract: In an approach to improving accuracy through weak model aggregation, one or more computer processors generating a plurality of hyperparameter sets, wherein each hyperparameter set in the plurality of hyperparameter sets contains one or more hyperparameters varied to increase over-training in one or more models, wherein over-training includes overfitting or underfitting. The one or more computer processors create a plurality of weak models utilizing a created bootstrap dataset in a plurality of created bootstrap datasets, a corresponding extracted explanatory variable set, and a corresponding hyperparameter set in the generated plurality of hyperparameter sets, wherein each weak model in a created plurality of weak models shares at least the created bootstrap dataset, the extracted explanatory variable set, the generated hyperparameter set, a machine learning technique, or a model architecture.

Abstract: Reducing noise during association analysis is provided. An association model is generated having a support value with respect to original data greater than a predefined minimum support value threshold level. A number of association rules corresponding to the association model are identified. It is determined whether the number of association rules corresponding to the association model is less than a predefined maximum number of association rules. In response to determining that the number of association rules corresponding to the association model is greater than the predefined maximum number of association rules, inverted data of the original data is generated. Another association model is generated having the support value with respect to the original data and the inverted data greater than the predefined minimum support value threshold level.

Abstract: In an approach to improving accuracy through weak model aggregation, one or more computer processors generating a plurality of hyperparameter sets, wherein each hyperparameter set in the plurality of hyperparameter sets contains one or more hyperparameters varied to increase over-training in one or more models, wherein over-training includes overfitting or underfitting. The one or more computer processors create a plurality of weak models utilizing a created bootstrap dataset in a plurality of created bootstrap datasets, a corresponding extracted explanatory variable set, and a corresponding hyperparameter set in the generated plurality of hyperparameter sets, wherein each weak model in a created plurality of weak models shares at least the created bootstrap dataset, the extracted explanatory variable set, the generated hyperparameter set, a machine learning technique, or a model architecture.

Abstract: A determination is made of an explanatory variable with respect to an objective variable. A subset of data from data to be analyzed is created, in response to setting the objective variable to be analyzed to perform analysis. Association analysis is applied to analysis results, in response to a number of analysis runs exceeding a predetermined number. An association rule is derived for the explanatory variable from a result of the association analysis. An explanatory variable having a relevance value greater than a threshold value with the objective variable in the data to be analyzed is selected. The selected explanatory variable is scored as an input using the association rule to determine whether the explanatory variable is to be added or removed.

Abstract: Reducing noise during association analysis is provided. An association model is generated having a support value with respect to original data greater than a predefined minimum support value threshold level. A number of association rules corresponding to the association model are identified. It is determined whether the number of association rules corresponding to the association model is less than a predefined maximum number of association rules. In response to determining that the number of association rules corresponding to the association model is greater than the predefined maximum number of association rules, inverted data of the original data is generated. Another association model is generated having the support value with respect to the original data and the inverted data greater than the predefined minimum support value threshold level.