Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable storage media for implementing a scalable, secure, efficient, and adaptable distributed digital ledger transaction network. Indeed, the disclosed systems can reduce storage and processing requirements, improve security of implementing computing devices and underlying digital assets, accommodate a wide variety of different digital programs (or “smart contracts”), and scale to accommodate billions of users and associated digital transactions. For example, the disclosed systems can utilize a host of features that improve storage, account/address management, digital transaction execution, consensus, and synchronization processes. The disclosed systems can also utilize a new programming language that improves efficiency and security of the distributed digital ledger transaction network.

Abstract: A system for low-count quantitative single-photon emission computed tomography (LC-QSPECT) is provided. The system is programmed to a) store a computer tomography (CT) scan of a subject being examining including a plurality of defined volumes of interest (VOIs) of the subject being examined; b) model a system matrix based on the stored CT, wherein the model describes the probability that photons emitted from each of the defined VOIs are detected in different projection bins, wherein a plurality of projection bins are defined around the subject and the defined VOIs; c) adjust the model with analysis of stray-radiation noise around the subject; d) detect, by the one or more sensors, one or more photons being emitted by an alpha-particle-emitting isotope; and e) execute the adjusted model with the one or more detected photons as inputs to determine a source VOI of the detected photons.

Abstract: A system for low-count quantitative single-photon emission computed tomography (LC-QSPECT) is provided. The system is programmed to a) store a computer tomography (CT) scan of a subject being examining including a plurality of defined volumes of interest (VOIs) of the subject being examined; b) model a system matrix based on the stored CT, wherein the model describes the probability that photons emitted from each of the defined VOIs are detected in different projection bins, wherein a plurality of projection bins are defined around the subject and the defined VOIs; c) adjust the model with analysis of stray-radiation noise around the subject; d) detect, by the one or more sensors, one or more photons being emitted by an alpha-particle-emitting isotope; and e) execute the adjusted model with the one or more detected photons as inputs to determine a source VOI of the detected photons.

Abstract: A system and method for improving the accuracy of human-object interaction tracking includes a unified tracking system. The tracking system uses an autoregressive architecture to process incoming image data and motion data in real-time and generates mesh states and a pose distribution. Post sampling leverages motion data to select optimal samples from the pose distribution.

Abstract: A computer system and method for providing single-photon emission tomography (SPECT) uptake data. A processor of the computer system is caused to receive SPECT data obtained from a SPECT acquisition, and quantify regional activity uptake of at least one isotope of a plurality of isotopes.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable storage media for implementing a scalable, secure, efficient, and adaptable distributed digital ledger transaction network. Indeed, the disclosed systems can reduce storage and processing requirements, improve security of implementing computing devices and underlying digital assets, accommodate a wide variety of different digital programs (or “smart contracts”), and scale to accommodate billions of users and associated digital transactions. For example, the disclosed systems can utilize a host of features that improve storage, account/address management, digital transaction execution, consensus, and synchronization processes. The disclosed systems can also utilize a new programming language that improves efficiency and security of the distributed digital ledger transaction network.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable storage media for implementing a scalable, secure, efficient, and adaptable distributed digital ledger transaction network. Indeed, the disclosed systems can reduce storage and processing requirements, improve security of implementing computing devices and underlying digital assets, accommodate a wide variety of different digital programs (or “smart contracts”), and scale to accommodate billions of users and associated digital transactions. For example, the disclosed systems can utilize a host of features that improve storage, account/address management, digital transaction execution, consensus, and synchronization processes. The disclosed systems can also utilize a new programming language that improves efficiency and security of the distributed digital ledger transaction network.

Abstract: A system for low-count quantitative single-photon emission computed tomography (LC-QSPECT) is provided. The system is programmed to a) store a computer tomography (CT) scan of a subject being examining including a plurality of defined volumes of interest (VOIs) of the subject being examined; b) model a system matrix based on the stored CT, wherein the model describes the probability that photons emitted from each of the defined VOIs are detected in different projection bins, wherein a plurality of projection bins are defined around the subject and the defined VOIs; c) adjust the model with analysis of stray-radiation noise around the subject; d) detect, by the one or more sensors, one or more photons being emitted by an alpha-particle-emitting isotope; and e) execute the adjusted model with the one or more detected photons as inputs to determine a source VOI of the detected photons.

Abstract: Disclosed is a method for continuously producing polyaluminum chloride from aluminum slag, comprising: blending the aluminum slag with water into a slurry in a mixing tank; pumping the slurry and a sodium hydroxide solution into a first mixing reactor; introducing the mixture obtained in the first mixing reactor into a second mixing reactor and pumping hydrochloric acid into the second mixing reactor; and filtering the resulting mixture and allowing filtrate for ripening, polymerization and sedimentation to obtain liquid polyaluminum chloride; wherein each of the reactors is pipeline-shaped, arranged horizontally and provided with a spiral conveyor shaft inside which is arranged horizontally and configured to stir and convey the mixture in a pipeline. This method realizes a continuous treatment of aluminum slag together with a continuous recovery of ammonia nitrogen and produces PAC, thereby achieving resourceful utilization and improved operability.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable storage media for implementing a scalable, secure, efficient, and adaptable distributed digital ledger transaction network. Indeed, the disclosed systems can reduce storage and processing requirements, improve security of implementing computing devices and underlying digital assets, accommodate a wide variety of different digital programs (or “smart contracts”), and scale to accommodate billions of users and associated digital transactions. For example, the disclosed systems can utilize a host of features that improve storage, account/address management, digital transaction execution, consensus, and synchronization processes. The disclosed systems can also utilize a new programming language that improves efficiency and security of the distributed digital ledger transaction network.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable storage media for implementing a scalable, secure, efficient, and adaptable distributed digital ledger transaction network. Indeed, the disclosed systems can reduce storage and processing requirements, improve security of implementing computing devices and underlying digital assets, accommodate a wide variety of different digital programs (or “smart contracts”), and scale to accommodate billions of users and associated digital transactions. For example, the disclosed systems can utilize a host of features that improve storage, account/address management, digital transaction execution, consensus, and synchronization processes. The disclosed systems can also utilize a new programming language that improves efficiency and security of the distributed digital ledger transaction network.

Abstract: Particular data is selected from a members-based dataset to provide a resultant training corpus. A first neural network receives that training corpus and generates a first trained machine learning model. That first trained machine learning model can predict member engagement score values for each of a plurality of candidate variable values. The aforementioned training corpus can also be provided to a second neural network to generate a second trained machine learning model. That second trained machine learning model can then be used to predict member engagement score values for each of a plurality of initial-state variable values. The aforementioned member engagement score values for each of the plurality of candidate variable values can then be consolidated with the member engagement score values for each of a plurality of initial-state variable values to thereby provide resultant consolidated member engagement score values.

Abstract: A process for producing catalytic cracking gasoline includes the following steps: i) subjecting a heavy feedstock oil to a catalytic cracking reaction in the presence of a first catalytic cracking catalyst to obtain a first reaction product; ii) subjecting a hydrogenated cycle oil to a catalytic cracking reaction in the presence of a second catalytic cracking catalyst to obtain a second reaction product; iii) separating a mixture of the first reaction product and the second reaction product to obtain a catalytic cracking gasoline and a catalytic cracking light cycle oil; iv) subjecting the catalytic cracking light cycle oil or a fraction thereof to hydrogenation to obtain a hydrogenated product; and v) recycling the hydrogenated product to the step ii) as the hydrogenated cycle oil.

Abstract: A catalytic cracking process includes the following steps: i) subjecting a heavy feedstock oil to flail catalytic cracking; ii) separating the catalytic cracking reaction product obtained from step i) to obtain a catalytic cracking gasoline and a catalytic cracking light cycle oil; iii) splitting the catalytic cracking gasoline to obtain a light gasoline fraction, a medium gasoline fraction and a heavy gasoline fraction; iv) subjecting the catalytic cracking light cycle oil to hydrogenation to obtain a hydrogenated light cycle oil); v) mixing a portion of the light gasoline fraction with at least a portion of the hydrogenated light cycle oil to obtain a mixed fraction; vi) subjecting the mixed fraction to catalytic cracking; and vii) subjecting a portion of the medium gasoline fraction to flail catalytic cracking. The process is capable of producing more catalytic cracking gasoline, reducing the olefin content of the catalytic cracking gasoline, and increasing its octane number.

Abstract: The present disclosure relates to a process for producing catalytic cracking gasoline comprising the following steps: i) subjecting a heavy feedstock oil to a catalytic cracking reaction in the presence of a first catalytic cracking catalyst to obtain a first reaction product; ii) subjecting a hydrogenated cycle oil to a catalytic cracking reaction in the presence of a second catalytic cracking catalyst to obtain a second reaction product; iii) separating a mixture of the first reaction product and the second reaction product to obtain a catalytic cracking gasoline and a catalytic cracking light cycle oil; iv) subjecting the catalytic cracking light cycle oil or a fraction thereof to hydrogenation to obtain a hydrogenated product; and v) recycling the hydrogenated product to the step ii) as the hydrogenated cycle oil. The present disclosure also relates to a catalytic cracking system for carrying out the process.

Abstract: The present disclosure relates to a catalytic cracking process comprising the following steps: i) subjecting a heavy feedstock oil to a catalytic cracking reaction to obtain a catalytic cracking reaction product; ii) separating the catalytic cracking reaction product to obtain a catalytic cracking gasoline and a catalytic cracking light cycle oil; iii) splitting the catalytic cracking gasoline to obtain a light gasoline fraction, a medium gasoline fraction and a heavy gasoline fraction; iv) subjecting the catalytic cracking light cycle oil to hydrogenation to obtain a hydrogenated light cycle oil); v) mixing a portion of the light gasoline fraction with at least a portion of the hydrogenated light cycle oil to obtain a mixed fraction; vi) subjecting the mixed fraction to a catalytic cracking reaction; and vii) subjecting a portion of the medium gasoline fraction to a catalytic cracking reaction.