Abstract: The present disclosure relates to the field of optical lenses, and discloses a camera optical lens sequentially including five lenses from an object side to an image side: a first lens having positive refractive power, a second lens having negative refractive power, a third lens having positive refractive power, a fourth lens having refractive power, and a fifth lens having negative refractive power; and following relational expressions are satisfied: 0.50?(R5+R6)/(R5-R6)?0.81, ?4.00?(f2+f5)/f??2.50, 0.60?d9/d8?2.00, 2.80?R9/R10?6.00, and ?8.00?(R7+R8)/f??4.00. The camera optical lens provided by the present disclosure can satisfy the design requirements of large aperture, ultra-thinness and wide angle.

Abstract: The present disclosure relates to the field of optical lenses, and discloses a camera optical lens sequentially including seven lenses from an object-side to an image-side: a first lens having positive refractive power, a second lens having negative refractive power, a third lens having negative refractive power, a fourth lens having positive refractive power, a fifth lens having negative refractive power, a sixth lens having positive refractive power, and a seventh lens having negative refractive power; and the following relational expressions are satisfied: ?18.000?f1/f+f2/f+f3/f??8.000; ?1.800?f4/f+f5/f+f6/f+f7/f??0.600; ?0.080?d0/d1??0.050.

Abstract: The present disclosure relates to the field of optical lens, and discloses a camera optical lens, including from an object side to an image side: a first lens having positive refractive power, a second lens having negative refractive power, a third lens having negative refractive power, a fourth lens having positive refractive power, a fifth lens having negative refractive power, a sixth lens having positive refractive power, and a seventh lens having negative refractive power; and the following relational expressions are satisfied: ?0.300?Sin(A1.0out14)*R14/f7?0.003; 1.05?(f1+f2+f3+f4)/(f5+f6+f7)?2.30; ?1.40?Sin(A0.8out8)*R8/f4?0.10.

Abstract: The present disclosure relates to the field of optical lenses, and discloses a camera optical lens. The camera optical lens sequentially includes seven lenses from an object-side surface to an image side: a first lens having positive refractive power, a second lens having negative refractive power, a third lens having negative refractive power, a fourth lens having positive refractive power, a fifth lens having negative refractive power, a sixth lens having positive refractive power, and a seventh lens having negative refractive power; and the following relational expressions are satisfied: 0.20?H0.6r9/IH?0.30; 16.00?f1/H0.6r1*tan(semi-FOV)?30.00; ?6.00?(H0.6r14/d13)*(f7/f)??3.00.

Abstract: The present disclosure relates to the field of optical lenses, and discloses a camera optical lens sequentially including seven lenses from an object side to an image side: a first lens having positive refractive power, a second lens having negative refractive power, a third lens having negative refractive power, a fourth lens having positive refractive power, a fifth lens having negative refractive power, a sixth lens having positive refractive power, and a seventh lens having negative refractive power; and the following relational expressions are satisfied: 0.9 ? d ? 1 1.5 / d ? 13 1.5 ? 1.7 ; ? 1. ? ( d ? 3 1.5 + d ? 5 1.5 + d ? 7 1.5 ) / ( d ? 9 1.5 + d ? 11 1.5 ) ? 1.8 ; ? 1.1 ? d ? 1 ? 3 1.5 / d ? 13 ? 2 . 0 ? 0 .

Abstract: A method for the prognosis of response to treatment for a patient suffering from cancer, the method comprising: measuring the expression of at least one immune marker in a leukocyte sample taken from the patient with cancer; classifying the patient sample into (i) sustainable responders (SR) to selective internal radiation therapy (SIRT) or (ii) transient/non-responders (TR/NR) to (SIRT) based on expression of the at least one immune marker in relation to a predetermined value and treating sustainable responders (SR) to SIRT or SIRT or a composition comprising SIRT and an immunotherapy. In a preferred embodiment, the method is for the prognosis of response to treatment of a Hepatocellular carcinoma (HCC) patient comprising detecting the co-expression of PD-1 or Tim-3 with CCR5; or expression of PD-1, Tim-3, CXCR6, or combinations thereof in a leukocyte sample taken from the patient.

Abstract: A method for the prognosis of response to treatment for a patient suffering from cancer, the method comprising: measuring the expression of at least one immune marker in a leukocyte sample taken from the patient with cancer; classifying the patient sample into (i) sustainable responders (SR) to selective internal radiation therapy (SIRT) or (ii) transient/non-responders (TR/NR) to (SIRT) based on expression of the at least one immune marker in relation to a predetermined value and treating sustainable responders (SR) to SIRT or SIRT or a composition comprising SIRT and an immunotherapy. In a preferred embodiment, the method is for the prognosis of response to treatment of a Hepatocellular carcinoma (HCC) patient comprising detecting the co-expression of PD-1 or Tim-3 with CCR5; or expression of PD-1, Tim-3, CXCR6, or combinations thereof in a leukocyte sample taken from the patient.

Abstract: The present disclosure provides an event extraction method, an event extraction device and an electronic device, and it relates to the field of computer data processing, in particular to the field of knowledge graph. The event extraction method includes: acquiring text information; determining a plurality of pieces of question information ranked in a sequential order in accordance with the text information; and inputting vector information for each piece of question information into an extraction model in accordance with the sequential order to acquire extraction information for each piece of question information.

Abstract: An event argument extraction (EAE) method, an EAE apparatus and an electronic device, relates to the technical field of knowledge graphs. A specific implementation scheme includes acquiring a to-be-extracted event content; and performing argument extraction on the to-be-extracted event content based on a trained EAE model, to obtain a target argument of the to-be-extracted event content; where the trained EAE model is obtained by training a pre-trained model with event news annotation data and a weight of each argument annotated in the event news annotation data.

Abstract: A method for extracting an event from a text including obtaining an input text; inputting the input text into a model for extracting trigger words to obtain a trigger word extraction result of the input text; inputting the input text and the trigger word extraction result into a model for extracting arguments to obtain an argument extraction result of the input text; and obtaining an event extraction result of the input text according to the trigger word extraction result and the argument extraction result.

Abstract: A method and apparatus for generating information are disclosed. An implementation of the method includes: receiving a target text, the target text including an objective and descriptive information of the objective; performing a dependency syntax parsing on the target text to generate a dependency tree of the target text; matching predetermined syntactic structure tree with the dependency tree to obtain at least one triple, a triple including a subject, a predicate, and an object; and determining, based on words contained in a triple among the at least one triple and a predetermined weight of the syntactic structure tree matched to obtain the triple, a target triple among the at least one triple.

Abstract: The present disclosure provides an event extraction method and apparatus, and a storage medium. The method includes: obtaining an event description text; determining at least one candidate event type according to the event description text, wherein the candidate event type corresponds to a set of query sentences; and extracting a corresponding event element from the event description text according to the query sentence.

Abstract: The disclosure provides a method for extracting an event from a text, an electronic device and a storage medium, relate to fields of knowledge graph, deep learning, and natural language processing. The method includes: obtaining an input text; inputting the input text into a model for extracting trigger words to obtain a trigger word extraction result of the input text; inputting the input text and the trigger word extraction result into a model for extracting arguments to obtain an argument extraction result of the input text; and obtaining an event extraction result of the input text according to the trigger word extraction result and the argument extraction result.

Abstract: A method for the prognosis of response to treatment for a patient suffering from cancer, the method comprising: measuring the expression of at least one immune marker in a leukocyte sample taken from the patient with cancer; classifying the patient sample into (i) sustainable responders (SR) to selective internal radiation therapy (SIRT) or (ii) transient/non-responders (TR/NR) to (SIRT) based on expression of the at least one immune marker in relation to a predetermined value and treating sustainable responders (SR) to SIRT or SIRT or a composition comprising SIRT and an immunotherapy. In a preferred embodiment, the method is for the prognosis of response to treatment of a Hepatocellular carcinoma (HCC) patient comprising detecting the co-expression of PD-1 or Tim-3 with CCR5; or expression of PD-1, Tim-3, CXCR6, or combinations thereof in a leukocyte sample taken from the patient.

Abstract: The present disclosure provides an event extraction method, an event extraction device and an electronic device, and it relates to the field of computer data processing, in particular to the field of knowledge graph. The event extraction method includes: acquiring text information; determining a plurality of pieces of question information ranked in a sequential order in accordance with the text information; and inputting vector information for each piece of question information into an extraction model in accordance with the sequential order to acquire extraction information for each piece of question information.

Abstract: An event argument extraction (EAE) method, an EAE apparatus and an electronic device, relates to the technical field of knowledge graphs. A specific implementation scheme includes acquiring a to-be-extracted event content; and performing argument extraction on the to-be-extracted event content based on a trained EAE model, to obtain a target argument of the to-be-extracted event content; where the trained EAE model is obtained by training a pre-trained model with event news annotation data and a weight of each argument annotated in the event news annotation data.

Abstract: Embodiments of the present disclosure provide a method for determining causality, an apparatus for determining causality, an electronic device and a storage medium, and relates to a field of knowledge graph technologies. The method includes: obtaining event words expressing individual events and related words adjacent to the event words in a target text; inputting the event words and the related words into a graph neural network; and determining whether there is a causal relationship between any two events through the graph neural network.

Abstract: The present disclosure provides a method for generating an event theme, belonging to a field of knowledge graph technologies and a field of deep learning technologies. Pieces of event information in an associated relation are obtained. Entity information and an event type of each piece of event information are obtained. Target event information having representative attributes is obtained from the pieces of event information. A theme template matching the event type of the target event information is selected from a theme template collection. The entity information and the event type of the target event information are added into the theme template to generate a theme of the pieces of event information.

Abstract: An event argument extraction method, an event argument extraction apparatus and an electronic device are disclosed, which relate to the field of artificial intelligence. A specific implementation is: acquiring to-be-extracted event content; and performing an argument extraction on the to-be-extracted event content based on a trained event argument extraction model, to acquire an target argument of the to-be-extracted event content; where, the trained event argument extraction model is acquired by training an intermediate extraction model by using event news annotation data, and the intermediate extraction model is acquired by training a pre-trained model by using event news samples and reading comprehension data.

Abstract: Enterprise administrators in a cloud-based environment including a cloud-based server and a repository can selectively impose permissions on items (e.g., files and folders) marked for synchronization (“sync items”). The sync items can be synchronized with the client devices of users by downloading the items along with the permission attributes from the cloud-based server. However, the permissions on those sync items means that any unpermitted changes to the local copies of the sync items do not get uploaded to the cloud-based server. A synchronization client on the client devices detects any changes made locally to the sync items that are not consistent with the permission attributes, and repairs those changes so that the sync items are restored to their most recent states. This ensures that any unauthorized changes made to sync items remain local and do not propagate by the synchronization process to other users.