Abstract: Systems and methods are provided for predicting microhardness properties of a weld that defines a weld joint between at least two workpieces. The system includes a processor programmed to: receive temperature data that includes temperature values each attributed to a corresponding one of a plurality of points of the weld at corresponding times during a welding process used to produce the weld, determine peak temperature values and cooling rate values for each of the points of the weld based on the temperature values, predict a three-dimensional (3D) distribution of microhardness values of the weld based on a machine learning method that evaluates the peak temperature values and the cooling rate values, and generate display data based on the 3D distribution of microhardness values.

Abstract: A computer-implemented method, computer program product and computer system are provided. A processor receives an indication of sensitive data in one or more files. A processor updates at least one bit in the virtual address space for the one or more files indicated to have sensitive data. A processor, in response to a program accessing the one or more files, evaluates a respective virtual address for the one or more files. A processor, in response to the at least one bit in the respective virtual address for the one or more files, marks intermediate data generated by the program as sensitive data.

Abstract: Described are an encoding method and system for ROAs. The encoding method includes the following steps: given a set of authorized IP prefixes an AS which are maintained with an IP address trie. By specifying a sequence of hanging levels on the IP address trie, it is divided into a set of non-overlapping sub-trees, each rooted at a hanging level. A node on a hanging level uniquely defines a sub-tree rooted at it, whose prefix can be encoded as the identifier of this sub-tree. All authorized prefixes covered by a sub-tree can be encoded into a bitmap of 2h bits, where h is the height of this sub-tree. Thus, the set of authorized IP prefixes of an AS is encoded into several tuples (identifier, bitmap).

Abstract: An approach for managing data set access based on data set relevance. The approach monitors data set access activities associated with a user. The approach detects access of a first data set by the user. The approach determines a group of data sets associated with the first data set based on a data set mapping associated with the user. The approach recalls one or more data sets of the group of data sets from a slower storage device to a faster storage device.

Abstract: In accordance with an embodiment, an energy storage system includes energy storage container that a temperature control system, a battery cluster, and a controller. The controller determines a specified temperature of the temperature control system corresponding to a maximum difference between an available capacity of the battery cluster and a power consumption of the temperature control system as a target temperature. The determination of the specified temperature is based on: a correspondence between the available capacity of the battery cluster and a plurality of different specified temperatures in a specified temperature set of the temperature control system, and a correspondence between the power consumption of the temperature control system and the plurality of different specified temperatures in the specified temperature set of the temperature control system. The temperature control system is configured to adjust a temperature inside the energy storage container to the target temperature.

Abstract: An osteotomy calibration method, calibration device, and an orthopedic surgery system are provided by present application. Firstly using the osteotomy calibration device to obtain the calculated position information of the current osteotomy plane, and then determining a position error between the calculated position information and a predetermined position information of a planned osteotomy plane, and if the position error exceeds a preset value, calculating and transmitting a relocation information to a robotic arm to control and relocate the robotic arm. By comparing and identifying the position error between the current osteotomy plane formed by the first osteotomy and the planned predetermined osteotomy plane, relocating the robotic arm, and performing a secondary correction of the osteotomy plane. In addition, by relocating the robotic arm and secondary correction of the osteotomy plane, additional bone nails which is to fix the navigation tool to the bone can be avoided.

Abstract: The invention relates to a method for microbial remediation of underground water petroleum hydrocarbon contamination by regulating soil buffer capability, which comprises detecting the soil particle size of contaminated site soil, dividing the contaminated site soil into coarse-grained soil and fine-grained soil; dividing the contaminated site soil into high buffer capacity soil and low buffer capacity soil; and adjusting the composition and ratio of a biostimulant solution added to the contaminated site soil based on the classification of the contaminated site soil. The detecting step includes classifying soil with a particle size between 0.075 mm and 60 mm and a mass greater than or equal to 50% of the total mass as coarse-grained soil; and classifying soil with a particle size not greater than 0.075 mm and a mass greater than or equal to 50% as fine-grained soil.

Abstract: The present invention relates to a groundwater circulation well system with pressure-adjustable hydrodynamic cavitation, including a circulation well body, a sucked and injected water circulation assembly and a hydrodynamic cavitator. The sucked and injected water circulation assembly is based on a water suction and injection pump. The hydrodynamic cavitator is provided, inside a vortex chamber, with a vortex water inlet column capable of changing a water passing aperture. The hydrodynamic cavitator is capable of changing a bubbling pressure and a breaking pressure of hydrodynamic cavitation bubbles in the vortex water inlet column. The hydrodynamic cavitator generates vortices in the circulation well body to accelerate uniform mixing of a remediation agent and the groundwater. Energy from collapsing and bursting of the hydrodynamic cavitation bubbles activates the remediation agent such that contaminants in the groundwater are efficiently degraded.

Abstract: A clustering device includes: an evaluation score calculation section configured to calculate an evaluation score or evaluation scores for evaluating a classification result; a batch process section configured to classify multiple element data into clusters with an optimum number of clusters, based on the evaluation scores respectively obtained for different number of clusters by assigning each of the multiple element data to one of the clusters; an update process section configured to assign newly added element data to a cluster that is closest to the newly added element data among the clusters into which the multiple element data are classified by the batch process section; and a determination section configured to determine validity of a classification result after assigning the newly added element data to the cluster, based on the evaluation score obtained by assigning the newly added element data to the cluster by the update process section.

Abstract: The disclosure discloses a composition containing melatonin as an effective ingredient, and its application in improving DHI production performance and improving milk quality. The composition containing melatonin as an effective ingredient according to the present disclosure can significantly reduce the somatic cell count in milk and improve milk quality. Under the conditions of different seasons, ages, and lactation periods, the administration of the composition containing melatonin as an active ingredient according to the present disclosure can significantly reduce the somatic cell score of cow milk (p<0.01), increase the protein content and lactose content in milk, and meanwhile reduce the fat content and urea nitrogen content in milk. In summary, the composition containing melatonin as an effective ingredient according to the present disclosure can improve the quality of milk and increase the efficiency of dairy cow breeding.

Abstract: The present disclosure belongs to the field of environmental protection and relates to a method for remediating groundwater chlorophenols organic contamination. The method includes determining a location of a contamination source; setting up an injection well based on the location of the contamination source; and injecting a remediation reagent into groundwater in a to-be-remediated region through the injection well so as to degrade chlorophenols organic contamination in the groundwater in the to-be-remediated region.

Abstract: Embodiments of the present invention provide a computer system a computer program product, and a method that comprises converting received data from a time-based domain to a frequency-based domain using a signal processing algorithm; identifying transactional noise within the converted data by identifying contextual factors based on a determined pattern, wherein the transactional noise is data associated with an identified fraudulent transaction; filtering the identified transactional noise by removing datapoints within the converted data that reaches a predetermined threshold of signal strength using the signal processing algorithm; and generating a line graph depicting removal of the data that is indicative of the identified transactional noise from the converted data.

Abstract: The invention relates to a method for microbial remediation of underground water petroleum hydrocarbon contamination by regulating soil buffer capability, which comprises detecting the soil particle size of contaminated site soil, dividing the contaminated site soil into coarse-grained soil and fine-grained soil; dividing the contaminated site soil into high buffer capacity soil and low buffer capacity soil; and adjusting the composition and ratio of a biostimulant solution added to the contaminated site soil based on the classification of the contaminated site soil. The detecting step includes classifying soil with a particle size between 0.075 mm and 60 mm and a mass greater than or equal to 50% of the total mass as coarse-grained soil; and classifying soil with a particle size not greater than 0.075 mm and a mass greater than or equal to 50% as fine-grained soil.

Abstract: A power switch circuit includes a switch circuit, a solar photovoltaic panel and a detection circuit and connected with the solar photovoltaic panel and the switch circuit respectively. The solar photovoltaic panel is configured to provide an electrical signal to the detection circuit, the detection circuit is configured to detect whether the power in the electric signal exceeds a preset threshold, and when the power exceeds the preset threshold, the detection circuit outputs a first control signal to the switch circuit to turn on the switch circuit; when the switch circuit is turned on, the solar photovoltaic panel supplies power to the load through the switch circuit, and the switch circuit feeds back a second control signal to the detection circuit so that the detection circuit stops working.

Abstract: An energy storage system, a battery monitoring method, and an energy storage device, to improve precision and stability of the energy storage system. The system includes: a battery module, a temperature sensor, and a battery monitoring unit. The battery module includes at least two battery areas. The temperature sensor is disposed in each battery area. The battery monitoring unit determines, based on a plurality of temperature signals sent by temperature sensors, a first battery area corresponding to an abnormal temperature signal that reaches a first preset temperature threshold. When an adjacent temperature signal of a second battery area that is connected to the first battery area is greater than a second preset temperature threshold, rated power of the battery module is reduced.

Abstract: A method, computer system, and a computer program product for labeling optimization is provided. The present invention may include receiving a plurality of labeled historical transaction timeline image clusters based on a plurality of historical transaction timeline images clustered using unsupervised machine learning. The present invention may further include training an image recognition model using supervised machine learning based on the received plurality of labeled historical transaction timeline image clusters. The present invention may also include receiving, by the trained image recognition model, a current transaction timeline image. The present invention may further include assigning a corresponding label to the received current transaction timeline image based on matching the received current transaction timeline image to one of the received plurality of labeled historical transaction timeline image clusters.

Abstract: The present invention discloses a method for constructing and optimizing a molecular structure model of lignite, comprising: collecting and processing a lignite sample, analyzing a lignite experimental sample, calculating the number of carbon atoms in lignite and the number of carbon atoms in other parameters, obtaining the sizes of aromatic clusters, and determining the composition features and number of aromatic structural units in lignite; calculating the total number of carbon atoms and the number of aliphatic carbon atoms in lignite; obtaining the categories and number of oxygen-containing functional groups in lignite based on the contents of aromatic hydrocarbon, aliphatic hydrocarbon and various oxygen-containing functional groups, and designing the structural forms of nitrogen and sulfur; constructing a molecular structure model of lignite.

Abstract: An SOC estimation method includes calculate an electric quantity value of fixed step size for the mobile power supply, and then sequentially superimpose a unit electric quantity step by step to calculate an accumulated electric quantity from the last moment of SOC change, then compare the absolute value of the accumulated electric quantity with the electric quantity value of the fixed step size to determine whether the SOC value is added/subtracted the fixed step size or kept unchanged, and acquire an initial value of the accumulated electric quantity at the next moment. In above method, the division operation can be replaced by “if judgment” and addition/subtraction operations in actual programming, which greatly reduces the calculation amount for SOC estimation, thereby greatly reducing requirements for chip operational power and peripheral resources and equipment energy consumption, improving the speed and computing stability of SOC estimation.

Abstract: Disclosed is a catalyst for preparing 2,3,3,3-tetrafluoropropene by gas-phase hydrodechlorination, which solves the problem of the high costs and easy deactivation of traditional chlorofluorocarbon hydrodechlorination catalysts. The disclosed catalyst is characterized in consisting of an active component and a carrier, wherein the active component is a combination of one or more of the metals: Ni, Mo, W, Co, Cr, Cu, Ce, La, Mn and Fe. The catalyst in the present invention has excellent performance, high activity, good stability and a low reaction temperature, effectively reduces reaction energy consumption, and has industrial application value.