Abstract: In an organic EL display device, a frame region provided outside a display region is provided with a damming wall extending on an outer periphery of the display region and a second lead-out wiring line extending across the damming wall from the display region side to an outside of the frame region. The damming wall includes a bank portion having a projecting shape and provided, in a part in which the second lead-out wiring line extends, on both sides in a direction in which the second lead-out wiring line extends with respect to a top portion of the damming wall. The bank portion is lower than a top portion of a second damming wall and forms, between the bank portion and the top portion, a trap portion having a recessed shape.

Abstract: A common electrode driver includes an inverting amplifier including a first resistor, a second resistor, and an operational amplifier, and a resistance ratio adjustment circuit that adjusts, in accordance with a length of one horizontal scan period, a resistance ratio being a ratio of a resistance value of the second resistor to a resistance value of the first resistor. A feedback voltage is provided to one end of the first resistor. The resistance ratio adjustment circuit sets the resistance ratio when second driving is performed, in which a length of one horizontal scan period is a second time longer than a first time, to be smaller than the resistance ratio when first driving is performed, in which a length of one horizontal scan period is the first time.

Abstract: A second connection wire is electrically connected to a first connection wire via a display-side contact portion and terminal-side contact portion in a bending section. The first connection wire and the second connection wire do not overlap each other at least partly between the display-side contact portion and terminal-side contact portion.

Abstract: The present disclosure provides a compound having a STING agonistic activity, which may be expected to be useful as an agent for the prophylaxis or treatment of STING-related diseases. The present disclosure relates to a compound represented by the formula (I): wherein each symbol is as defined in the description, or a salt thereof.

Abstract: Aspects for enabling private communications during a web conference are described. In an embodiment, one or more processors are configured for establishing a main channel for communication in a web conference comprising a plurality of users attending the web conference; transmitting main channel audio data to computing devices associated with the plurality of users; receiving a first sub-channel request comprising an invitation from a first user to at least a second user of the plurality of users; establishing a first sub-channel for communication in the web conference comprising the first user and at least the second user; generating first sub-channel audio data comprising reduced main channel audio data and first sub-channel input audio data comprising first user input audio data and second user input audio data; and transmitting the first sub-channel audio data to the first sub-channel.

Abstract: A computer-implemented method includes: selecting a web page from plural web pages being opened in a web browser; finding a similar page having similar content to the selected web page from the plural web pages; and closing the similar page in response to an operation by a user.

Abstract: A method, computer system, and a computer program product for digital image recognition determination using a learned model is provided. The present invention may include acquiring a first determination result by making a determination concerning first data, using a first learned model. The present invention may include selecting a partial region of the first data. The present invention may then include generating second data obtained by applying a first alteration process to the partial region. The present invention may also include acquiring a second determination result by making a determination concerning the second data, using a second learned model. The present invention may lastly include obtaining a final determination result based on the first determination result and the second determination result.

Abstract: A method, computer system, and a computer program product for predicting a variation of sequential blood glucose levels by using deep learning is provided. The present invention may include training a predictor associated with a user by using a deep learning network. The present invention may further include predicting a plurality of sequential blood glucose levels by the trained predictor based on at least one meal image, at least one time-period, and at least one set of data associated with a plurality of blood glucose levels of the user.

Abstract: Improved data pipelines are provided. A request to activate a first pipeline based on a first pipeline definition is received. The first pipeline is generated based on the first pipeline definition, wherein generating the first pipeline includes generating a reusable processing module at a first position within the first pipeline, and generating a downstream processing module at a second position within the first pipeline, where the downstream processing module selectively sends output data to the reusable processing module, such that data processed by the first data pipeline will be processed by the identified reusable processing module at least twice. The first pipeline is activated.

Abstract: A die head apparatus is provided with a front blade, a rear blade, a center blade, and an internal impurity removal space. The front blade and the center blade are configured to form a pool of a slurry. The internal impurity removal space is positioned between the center blade and the rear blade. A distance separating the rear blade and the substrate is set to be smaller than the distance separating the center blade and the substrate.

Abstract: Hidden data co-occurrence relationships may be detected by a computer-implemented method, including monitoring data processing events on one or more server computers, gathering co-occurrences between a plurality of the data processing events, and generating one or more lineages between a plurality of directories associated with the plurality of the data processing events based on the gathered co-occurrences.

Abstract: A first user input event initiating a transition of a GUI from a first state to a second state is generated in response to detecting a first user input received by the GUI. A first spatial location in the GUI selected by the first user input can be identified. A second user input event is generated in response to detecting a second user input received by the GUI while the GUI is in the second state. A second spatial location in the GUI selected by the second user input can be identified. A level of discontinuity between the first user input and the second user input can be determined. If the level of discontinuity does not exceed a threshold value, at least one user input event handling process can be selected to process the second user input event based on the level of discontinuity not exceeding the discontinuity threshold value.

Abstract: A method, computer system, and computer program product for predicting an occurrence of a symptom in a patient are provided. The embodiment may include reading, into a memory, a plurality of time-series prediction models used for predicting the occurrence of the symptom, wherein the time-series prediction models were trained in advance using plural data sets of training data obtained from a plurality of patients, each training data comprising prodrome data and data associated with the occurrence of the symptom. The embodiment may also include selecting at least one time-series prediction model from the time-series prediction models using historical data sets of prodrome data obtained from a patient and data associated with the occurrence of the symptom. The embodiment may further include inputting, to the at least one selected time-series prediction model, current prodrome data obtained from the patient to output a result predicting the occurrence of the symptom.

Abstract: A method, computer system, and a computer program product for digital image recognition determination using a learned model is provided. The present invention may include acquiring a first determination result by making a determination concerning first data, using a first learned model. The present invention may include selecting a partial region of the first data. The present invention may then include generating second data obtained by applying a first alteration process to the partial region. The present invention may also include acquiring a second determination result by making a determination concerning the second data, using a second learned model. The present invention may lastly include obtaining a final determination result based on the first determination result and the second determination result.

Abstract: A method, system and computer program product for assisting users to execute content in a user's computing environment. A user copying and pasting content from a first electronic document is detected, where the content is set as a first character string. Furthermore, the modification of the copied content is detected, where the modification includes modification of parameters of the user's computing environment to implement execution of the copied content and the modified copied content is set as a second character string. The first and second character strings as well as the modification points are registered in a repository. The modification points include the modified parameters of the first user's computing environment. By matching the character string copied by a second user from a second electronic document with one of the registered character strings, the second user may be presented with the modification points associated with the matching character string.

Abstract: A method, computer system, and a computer program product for predicting a variation of sequential blood glucose levels by using deep learning is provided. The present invention may include training a predictor associated with a user by using a deep learning network. The present invention may further include predicting a plurality of sequential blood glucose levels by the trained predictor based on at least one meal image, at least one time-period, and at least one set of data associated with a plurality of blood glucose levels of the user.

Abstract: Provided is a method, wherein the system includes an existing pipeline having at least one processing module that is activated and information relating to the existing pipeline. The system operating method includes detecting a processing module to be shared that is shared with the existing pipeline, among the processing modules included in a new pipeline that is newly activated or in an activated pipeline that is already activated; and connecting a non-shared processing module that is not the processing module to be shared, among the processing modules included in the new pipeline or in the activated pipeline, to a shared processing module corresponding to the processing module to be shared in the existing pipeline.

Abstract: A die head apparatus is provided with a front blade, a rear blade, a center blade, and an internal impurity removal space. The front blade and the center blade are configured to form a pool of a slurry. The internal impurity removal space is positioned between the center blade and the rear blade. A distance separating the rear blade and the substrate is set to be smaller than the distance separating the center blade and the substrate.

Abstract: Hidden data co-occurrence relationships may be detected by a computer-implemented method, including monitoring data processing events on one or more server computers, gathering co-occurrences between a plurality of the data processing events, and generating one or more lineages between a plurality of directories associated with the plurality of the data processing events based on the gathered co-occurrences.

Abstract: A method, system and computer program product for assisting users to execute content in a user's computing environment. A user copying and pasting content from a first electronic document is detected, where the content is set as a first character string. Furthermore, the modification of the copied content is detected, where the modification includes modification of parameters of the user's computing environment to implement execution of the copied content and the modified copied content is set as a second character string. The first and second character strings as well as the modification points are registered in a repository. The modification points include the modified parameters of the first user's computing environment. By matching the character string copied by a second user from a second electronic document with one of the registered character strings, the second user may be presented with the modification points associated with the matching character string.