Abstract: A server and a server management system therefor, relating to the field of servers. The server management system is used for managing a server. The server management system may assist two CPUs to start, and may receive PCIe signals sent by the two CPUs, so as to display an operating system interface. The server management system may also send a received keyboard and mouse instruction to a CPU currently in communication with a gating switch (3) by means of a USB controller (2), thereby implementing use of the keyboard and mouse. Moreover, when the USB controller (2) performs mutual conversion between a USB signal and a PCIe signal, communication with the CPU currently in communication with the gating switch (3) may be implemented by means of a first USB interface (4).

Abstract: The present disclosure provides a cancer treatment method by using the combination of E10A and PD1 monoclonal antibody. This present disclosure adopts the combined application of recombinant human endostatin adenovirus and PD1 antibody, and it is found that it has a synergistic effect. The combined application can obviously inhibit the growth and proliferation of tumors, and has a good tumor inhibition rate, which is for the development of new tumor-targeted medicines.

Abstract: Provided herein are agents that modulate histone acetylation and pathways downstream thereof, and methods for the treatment and prevention of organ injury therewith. In particular, provided herein are combinations of histone deacetylase (HDAC) inhibitors, bromodomain and extraterminal-containing protein family (BET) inhibitors, promoters of histone acetyl transferase (HAT) activity, mineralocorticoid receptor (MR) antagonists, nuclear factor erythroid 2-related factor 2 (NRF2) activators, and/or aldehyde dehydrogenase (ALDH) agonists, and methods of use thereof for the treatment and prevention of heart injury.

Abstract: An intelligent forecasting system that includes sources of financial and non-financial input data and a user interface generator for generating user interfaces having window elements that display the input data. The window element includes a persistent navigation pane element having vertically stacked actuatable navigation soft buttons for accessing one or more portions of an intelligent forecasting. The navigation soft buttons include, among other buttons, an Outlier Treatment soft button for processing the input data by applying thereto a statistical processing model to detect outliers in the input data, a Model Selection soft button for selecting a statistical forecasting model to apply to the input data, a Signal Explorer soft button for selecting a signal transformation method for transforming the input data, a Model Prediction soft button for selecting one of the statistical forecasting models to apply to the input data, and a Simple Prediction soft button for automatically generating forecasts.

Abstract: A data processing method, an electronic device and a computer storage medium, related to the field of artificial intelligence such as deep learning and big data, are provided. The method includes: extracting, in submission information of a current test task, a first sub-directory in which a dependent package required for constructing a model is located; and obtaining the dependent package from a local storage module, in a case where the first sub-directory is as same as a second sub-directory in submission information for a historical test task. Thereby, efficiency of acquiring the dependent package can be increased and execution efficiency of a process for constructing models according to the dependent package is further increased.

Abstract: An electrical assembly is provided with a housing with an opening. An electrical terminal assembly is received within the housing. A cover is in cooperation with the housing to enclose the opening. An interference projection extends from a terminal position assurance assembly (TPA) or the cover and is in cooperation with the other of the TPA or the cover to prevent the cover from enclosing the opening of the housing when the electrical terminal assembly is improperly installed in the housing.

Abstract: Provided is a heat absorption and heat insulation structure for a battery module, including: a wrappage, having a first cavity therein; and a heat absorbing agent, disposed in the first cavity, the heat absorbing agent being capable of absorbing heat to generate gas. By applying the technical solution of the present disclosure, after the heat absorption and heat insulation structure is disposed between two adjacent battery cells, if one battery cell experiences thermal runaway, heat generated by the battery cell can be conducted to the heat absorbing agent of the wrappage. The heat absorbing agent will vaporize after absorbing the heat, and the generated gas may carry a large amount of heat to the outside of the battery module, thereby preventing the damaged battery cell from transferring a large amount of heat to the adjacent battery cell and causing further damage.

Abstract: An electrical assembly is provided with a housing with an opening. An electrical terminal assembly is received within the housing. A cover is in cooperation with the housing to enclose the opening. An interference projection extends from a terminal position assurance assembly (TPA) or the cover and is in cooperation with the other of the TPA or the cover to prevent the cover from enclosing the opening of the housing when the electrical terminal assembly is improperly installed in the housing.

Abstract: Systems, methods, and other embodiments associated with analyzing utility data to identify diversion of a utility resource within a distribution system of a utility provider are described. In one embodiment, a method includes analyzing, by at least a processor of a computer, the utility data based, at least in part, on diversion rules to identify characteristics that correlate with diversion of the utility resource. The utility data is data from multiple independent sources of the utility provider. The example method may also include calculating a theft score that identifies a likelihood that the utility resource is being diverted from a location in a geographic area based, at least in part, on the identified characteristics.