Abstract: A one-step method for preparing a magnetic magnesium-iron layered double hydroxide (LDH)-biochar composite material and use thereof provided. Biomass, as a substrate, is placed in a ferric salt solution, magnesium hydroxide is added, the materials are fully stirred and aged for a certain time, the aged materials are dried to obtain a magnesium-iron LDH-biomass, and the magnetic magnesium-iron LDH-biochar composite material is obtained after pyrolysis. The method solves problems of uncontrollable reaction and low crystallinity of products in preparing LDH using a coprecipitation method, reduces the amount of drugs, omits a step of adjusting a pH with an alkaline solution, improves yield and reduces a cost. The obtained magnetic magnesium-iron LDH-biochar composite material exhibits an excellent performance in adsorbing phosphate in water and can be recovered by an external magnetic field. Thus, an important method is provided for preparing LDH and the composite thereof.

Abstract: In one example, a method for prediction future network anomaly events is disclosed. The method includes generating a machine learning model for a computer communication network. Generation of the machine learning model can be by applying a historical set of time series data metrics of the computer communication network to train the machine learning model. The method may determine a data metric threshold that indicates a limit for future data metrics associated with the computer communication network. The method may analyze current data metrics associated with the computer communication network, and predict a future time when the data metrics associated with the computer communication network will meet or exceed the data metric threshold value. The method may flag the prediction of the future time to avoid a network anomaly.

Abstract: In one example of the present disclosure, a method for determining false positive and active indications is disclosed. The method may apply anomaly network event data to a machine learning model. The machine learning model is trained with historic and correlated anomaly network event data. The method then determines which one of the anomaly network event data is a false positive indication and which one is an active indication.

Abstract: In one example of the present disclosure, a method for determining false positive and active indications is disclosed. The method may apply anomaly network event data to a machine learning model. The machine learning model is trained with historic and correlated anomaly network event data. The method then determines which one of the anomaly network event data is a false positive indication and which one is an active indication.

Abstract: In one example, a method for prediction future network anomaly events is disclosed. The method includes generating a machine learning model for a computer communication network. Generation of the machine learning model can be by applying a historical set of time series data metrics of the computer communication network to train the machine learning model. The method may determine a data metric threshold that indicates a limit for future data metrics associated with the computer communication network. The method may analyze current data metrics associated with the computer communication network, and predict a future time when the data metrics associated with the computer communication network will meet or exceed the data metric threshold value. The method may flag the prediction of the future time to avoid a network anomaly.

Abstract: In one example of the present disclosure, a method for determining false positive and active indications is disclosed. The method may apply anomaly network event data to a machine learning model. The machine learning model is trained with historic and correlated anomaly network event data. The method then determines which one of the anomaly network event data is a false positive indication and which one is an active indication.

Abstract: A one-step method for preparing a magnetic magnesium-iron layered double hydroxide (LDH)-biochar composite material and use thereof provided. Biomass, as a substrate, is placed in a ferric salt solution, magnesium hydroxide is added, the materials are fully stirred and aged for a certain time, the aged materials are dried to obtain a magnesium-iron LDH-biomass, and the magnetic magnesium-iron LDH-biochar composite material is obtained after pyrolysis. The method solves problems of uncontrollable reaction and low crystallinity of products in preparing LDH using a coprecipitation method, reduces the amount of drugs, omits a step of adjusting a pH with an alkaline solution, improves yield and reduces a cost. The obtained magnetic magnesium-iron LDH-biochar composite material exhibits an excellent performance in adsorbing phosphate in water and can be recovered by an external magnetic field. Thus, an important method is provided for preparing LDH and the composite thereof.

Abstract: A method for payment device issuance, lifecycle management, and use may include a financial institution computer program: issuing a numberless, physical first financial instrument that is restricted to in-person transactions having a first primary account number (PAN) stored in a chip to a customer; issuing a digital, second financial instrument to an electronic wallet for the customer having a second PAN that is different from the first PAN; receiving a notification that the first financial instrument or the second financial instrument has been lost or compromised; in response to the first financial instrument being lost/compromised, reissuing the first financial instrument with a third PAN, wherein the second PAN for the second financial instrument is unchanged; and in response to the second financial instrument being lost/compromised, reissuing the second financial instrument with a fourth PAN, wherein the first PAN for the first financial instrument is unchanged.

Abstract: Disclosed is a method of preparing a carbon quantum dot from soybean dregs by hydrothermal synthesis, including: mixing the soybean dregs with water, and subjecting the reaction mixture under heating at 100-500° C. in an autoclave for reaction; cooling the reaction mixture when the reaction is completed, and removing insoluble substances from the reaction mixture; and dialyzing the reaction mixture, and lyophilizing the dialyzed product to produce the carbon quantum dot. The invention further provides the carbon quantum dot prepared by the above method and a use thereof in the detection of Fe3+ and Hg2+ in water, where the lowest detection limit can reach 30 nmol/L and the detection range is 0.1-50 ?mol/L.

Abstract: A biomass gas-carbon co-production reactor includes: multiple downward bed pyrolysis zones, a gas-solid separation zone, an activated carbon activation zone, and a secondary pyrolysis reaction zone; wherein the activated carbon activation zone communicates with the gas-solid separation zone and the secondary pyrolysis reaction zone; tops of the downward bed pyrolysis zones penetrate through a top of the gas-solid separation zone, and a heat carrier inlet and a raw material inlet are symmetrically arranged on a left side and a right side of each of the downward bed pyrolysis zones; bottoms of the downward bed pyrolysis zones are located inside the secondary pyrolysis reaction zone for communicating; a fluidizing air inlet is provided at a bottom of the secondary pyrolysis reaction zone, and an activated gas inlet is provided at a top of the secondary pyrolysis reaction zone; an activated carbon outlet is provided on the gas-solid separation zone.

Abstract: Disclosed is a method of preparing a carbon quantum dot from soybean dregs by hydrothermal synthesis, including: mixing the soybean dregs with water, and subjecting the reaction mixture under heating at 100-500° C. in an autoclave for reaction; cooling the reaction mixture when the reaction is completed, and removing insoluble substances from the reaction mixture; and dialyzing the reaction mixture, and lyophilizing the dialyzed product to produce the carbon quantum dot. The invention further provides the carbon quantum dot prepared by the above method and a use thereof in the detection of Fe3+ and Hg2+ in water, where the lowest detection limit can reach 30 nmol/L and the detection range is 0.1-50 ?mol/L.

Abstract: A biomass gas-carbon co-production reactor includes: multiple downward bed pyrolysis zones, a gas-solid separation zone, an activated carbon activation zone, and a secondary pyrolysis reaction zone; Wherein the activated carbon activation zone communicates with the gas-solid separation zone and the secondary pyrolysis reaction zone; tops of the downward bed pyrolysis zones penetrate through a top of the gas-solid separation zone, and a heat carrier inlet and a raw material inlet are symmetrically arranged on a left side and a right side of each of the downward bed pyrolysis zones; bottoms of the downward bed pyrolysis zones are located inside the secondary pyrolysis reaction zone for communicating; a fluidizing air inlet is provided at a bottom of the secondary pyrolysis reaction zone, and an activated gas inlet is provided at a top of the secondary pyrolysis reaction zone; an activated carbon outlet is provided on the gas-solid separation zone.