Abstract: Provided are an adenosine triphosphatase sarcoplasmic/endoplasmic reticulum Ca2+ transporting 2 (ATP2A2) gene-based molecular marker for identifying a chicken feed efficiency trait, and an identification method and use thereof. A nucleotide sequence of the molecular marker is shown in SEQ ID NO: 1, and a base at locus 926 in the nucleotide sequence is T or G. In the present application, by identifying a genotype of the molecular marker in a chicken genome and then selecting the chicken feed efficiency trait according to the genotype, a breeding method for early selection of the poultry feed efficiency trait is established. The method is simple, rapid, and low-cost, does not require special instruments, and is suitable for the needs of marker-assisted selection experiments.

Abstract: Intelligent lead-acid battery system capable of monitoring a parameter (e.g., voltage, temperature) of one or more battery cells of a lead-acid battery. In one implementation, the battery system includes a housing having a cells compartment, a battery monitoring system (BMS) compartment, and a wall disposed between the cells compartment and the BMS compartment. A first post and a second post are associated with a battery cell. The first post and the second post protrude through the wall between the cells compartment to the BMS compartment. A voltage sensor electrically couples to the first post and the second post to monitor the voltage of the battery cell. A temperature sensor can couple to the first or second or both posts. The intelligent AGM battery system can predict the battery module's state of health, state of charge, module status, power capability, life expectancy, etc.

Abstract: Intelligent lead-acid battery system capable of monitoring a parameter (e.g., voltage, temperature) of one or more battery cells of a lead-acid battery. In one implementation, the battery system includes a housing having a cells compartment, a battery monitoring system (BMS) compartment, and a wall disposed between the cells compartment and the BMS compartment. A first post and a second post are associated with a battery cell. The first post and the second post protrude through the wall between the cells compartment to the BMS compartment. A voltage sensor electrically couples to the first post and the second post to monitor the voltage of the battery cell. A temperature sensor can couple to the first or second or both posts. The intelligent AGM battery system can predict the battery module's state of health, state of charge, module status, power capability, life expectancy, etc.

Abstract: Intelligent lead-acid battery system capable of monitoring a parameter (e.g., voltage, temperature) of one or more battery cells of a lead-acid battery. In one implementation, the battery system includes a housing having a cells compartment, a battery monitoring system (BMS) compartment, and a wall disposed between the cells compartment and the BMS compartment. A first post and a second post are associated with a battery cell. The first post and the second post protrude through the wall between the cells compartment to the BMS compartment. A voltage sensor electrically couples to the first post and the second post to monitor the voltage of the battery cell. A temperature sensor can couple to the first or second or both posts. The intelligent AGM battery system can predict the battery module's state of health, state of charge, module status, power capability, life expectancy, etc.

Abstract: Intelligent lead-acid battery system capable of monitoring a parameter (e.g., voltage, temperature) of one or more battery cells of a lead-acid battery. In one implementation, the battery system includes a housing having a cells compartment, a battery monitoring system (BMS) compartment, and a wall disposed between the cells compartment and the BMS compartment. A first post and a second post are associated with a battery cell. The first post and the second post protrude through the wall between the cells compartment to the BMS compartment. A voltage sensor electrically couples to the first post and the second post to monitor the voltage of the battery cell. A temperature sensor can couple to the first or second or both posts. The intelligent AGM battery system can predict the battery module's state of health, state of charge, module status, power capability, life expectancy, etc.

Abstract: A mobile terminal is provided, including a housing (21) and a speaker (10). The speaker (10) includes a box (11) and a sound generation unit (12). The box (11) includes a first cover body (117), a second cover body (118), and a cover plate (13). A first chamber is formed between the sounding unit (12) and the inner bottom wall of the first cover body, and a sound hole (113) is disposed in the first cavity (111). A second cavity (112) is formed between the sound generation unit (12) and the second cover body (118). The sound generation unit (12) includes a diaphragm (123). A resonant cavity (114) with a through hole (116) on one side is formed in the first cover body (117), the cover plate (13) covers the through hole (116), and a microhole (115) is disposed. Airflow enters the second cavity (112) through the microhole (115).

Abstract: According to embodiments of the disclosure, a method and an apparatus for information processing are provided. The method includes determining a plurality of pending events from one or more media contents, at least two of the plurality of pending events having an event relationship. The method further includes determining an additional event set from the plurality of pending events based on an existing event set for constructing an event evolutionary graph, an additional event in the additional event set being different from an existing event in the existing event set. The method further includes updating the event evolutionary graph based on the additional event set. In this way, incremental updates of the event evolutionary graph can be realized, thereby improving the construction efficiency of the event evolutionary graph.

Abstract: According to embodiments of the present disclosure, a method and apparatus for information presenting are provided. The method includes presenting a first event evolutionary graph corresponding to a media content. The first event evolutionary graph includes at least a first node representing a first event, a second node representing a second event, and a first directed edge representing a first event relationship between the first event and the second event. The first event, the second event, and the first event relationship are determined from the media content. The method further includes presenting a second event evolutionary graph in association with the first event evolutionary graph. The second event evolutionary graph comprises at least a third node representing a third event. A first event factor of at least one event of the first event or the second event matches a second event factor of the third event.

Abstract: According to embodiments of the present disclosure, a method and device for information presenting are provided. The method includes receiving a query for an event evolutionary graph, the query indicating at least a target event to be searched. The method further includes presenting, as a result of the query, a target event evolutionary graph comprising a plurality of nodes and at least one directed edge connecting the plurality of nodes, the plurality of nodes representing the target event and one or more events associated with the target event respectively, and the at least one directed edge representing an event relationship between events represented by connected nodes respectively. The method further includes presenting, for at least one node in the plurality of nodes, time information of at least one event represented by the at least one node, respectively.

Abstract: Intelligent lead-acid battery system capable of monitoring a parameter (e.g., voltage, temperature) of one or more battery cells of a lead-acid battery. In one implementation, the battery system includes a housing having a cells compartment, a battery monitoring system (BMS) compartment, and a wall disposed between the cells compartment and the BMS compartment. A first post and a second post are associated with the battery cell. The first post and the second post protrude through the wall between the cells compartment to the BMS compartment. A voltage sensor electrically couples to the first post and the second post to monitor the voltage of the battery cell. A temperature sensor can couple to the first or second or both posts. The intelligent AGM battery system can predict the battery module's state of health, state of charge, module status, power capability, life expectancy, etc.

Abstract: Embodiments of the present disclosure provide a data processing method and an electronic device, which relate to the computer field. The method includes: acquiring a time-series dataset, the time-series dataset comprising multiple time-series data items each comprising a time and multiple attribute parameters corresponding thereto; acquiring a target attribute parameter being at least one of the multiple attribute parameters; determining, based on a time-series model, at least one influence factor of the target attribute parameter, the at least one influence factor indicating at least one attribute parameter influencing the target attribute parameter and at least one time corresponding to the at least one attribute parameter; and outputting the at least one influence factor. As such, according to the embodiments of the present disclosure, for a target attribute parameter, at least one influence factor can be determined based on a time-series dataset and a time-series model.

Abstract: According to the embodiments of the present disclosure, method and device for information processing are provided. This method comprises determining a group of target factors for a target object based on an unstructured text set about the target object. Each target factor represents an aspect of the target object. This method also comprises determining a causal-outcome event pair comprising a causal event and outcome event by analyzing the text in the text set. This method further comprises determining, based on the causal-outcome event pair, a first causality between a first factor in the group of target factors and a second factor of the target object. This scheme helps to improve the mining of causalities among the target object, thereby facilitating the improvement of the target object.

Abstract: Implementations of the present disclosure relate to a method, system and program product for determining a causality between a plurality of variables.

Abstract: According to the embodiments of the present disclosure, a method, apparatus, device, and storage media for information processing are provided. The method comprises extracting a plurality of keywords from an unstructured text set for a target object. The method comprises grouping at least a portion of the plurality of keywords based on semantics of the plurality of keywords. The method further comprises determining a target factor corresponding to a group of keywords based on a result of the grouping. The target factor represents an aspect of the target object. As such, new factors that affect the target object can be identified.

Abstract: The present disclosure provides a method for pose determination. The method may include obtaining a first pose of a subject at a first time point. The method may further include retrieving one or more first features associated with a road from a database. The road may be viewable by the subject at the first pose and at the first time point. The method may further include obtaining an image captured by the subject at a second time point. The method may further include extracting one or more second features associated with the road from the image. The method may also include determining a second pose of the subject at the second time point at least based on comparing the one or more first features associated with the road with the one or more second features associated with the road.

Abstract: Embodiments of the present disclosure relate to a data processing method and an electronic device, and relate to a field of computers. The method comprises: acquiring data to be processed, the data to be processed indicating at least one of: first state information, a first action, and second state information after executing the first action when the first state information is satisfied; determining result data based on the data to be processed using a trained data generation model, the result data indicating third state information after executing a second action when the first state information is satisfied, and the data generation model being obtained based on a training set and a causal model corresponding to at least one data item in the training set; and outputting the result data.

Abstract: Embodiments of the disclosure provide methods and systems for positioning a vehicle. The system may include a communication interface configured to receive a set of point cloud data with respect to a scene captured under a first lighting condition by at least one sensor. The system may further include a storage configured to store the set of point cloud data, and a processor. The processor may be configured to simulate illumination of the scene under a second lighting condition different from the first lighting condition based on the set of point cloud data, modify the set of point cloud data based on the simulated illumination of the scene under the second lighting condition, and position the vehicle under the second lighting condition based on the modified set of point cloud data.

Abstract: Embodiments of the present disclosure relate to an information processing method and an electronic device and relate to a computer field. The method comprises: obtaining input information from a user, the input information at least indicating at least one of: attribute information of at least one target object, or information of a current perception category of the at least one target object; determining a target decision for the at least one target object based on the input information using a trained decision model; and outputting the target decision. In this way, the embodiments of the present disclosure can output a target decision corresponding to the input information of the user based on the trained decision model, so as to provide a reference to the user for decision making and facilitate the user to maintain the perception category of the target object.

Abstract: A method, device and system for estimating causality among observed variables are provided. In response to receiving observation data of a plurality of observed variables, a causality objective function is determined, based on fitting inconsistencies when fitting is performed using the observed variables and a sparse constraint for a causal network structure. The fitting inconsistencies are adjusted based on weighting factors of the observed variables, wherein a weighting factor of an observed variable indicates a minimum underestimate value of cost required for fitting a target variable using all other observed variables than the above observed variable. Then, the causality among the plurality of observed variables is estimated by using the observations data to optimally solve the causality objective function through sparse causal reasoning under a directed acyclic graph constraint.

Abstract: A mobile terminal is provided, including a housing (21) and a speaker (10). The speaker (10) includes a box (11) and a sound generation unit (12). The box (11) includes a first cover body (117), a second cover body (118), and a cover plate (13). A first chamber is formed between the sounding unit (12) and the inner bottom wall of the first cover body, and a sound hole (113) is disposed in the first cavity (111). A second cavity (112) is formed between the sound generation unit (12) and the second cover body (118). The sound generation unit (12) includes a diaphragm (123). A resonant cavity (114) with a through hole (116) on one side is formed in the first cover body (117), the cover plate (13) covers the through hole (116), and a microhole (115) is disposed. Airflow enters the second cavity (112) through the microhole (115).