Abstract: The present disclosure relates to DNA-peptide hybrid molecules. In some embodiments, the DNA-peptide hybrid molecules comprise target-specific binding peptides which selectively bind to SARS-COV-2 surface glycoprotein. Methods of using DNA-peptide hybrid molecules in the treatment of SARS-COV-2 infection are also provided.

Abstract: The present disclosure relates to DNA nanocarriers and methods of use for stimulating an immune response in a host. In some embodiments, the DNA nanocarriers comprise SARS-CoV-2 surface glycoprotein.

Abstract: Environment-friendly reinforced foam for underground hydrogen storage and a preparation method thereof. The reinforced foam includes hydrogen and a liquid phase, where the liquid phase is an aqueous solution of a foaming agent, a foam stabilizer, a pH regulator and a particle cosolvent; and the foam stabilizer is a compounded system composed of 0-dimensional nanomaterial and 1-dimensional nanomaterial at a mass ratio of 2-5:1. In the reinforced foam of the present disclosure, the 0-dimensional and the 1-dimensional nanomaterials are compounded to form a nano-armor layer, which improves the stability of foam and the interfacial viscoelasticity of a liquid film by synergistic reinforcement, and inhibits the viscous fingering, escape and leakage of hydrogen in a reservoir, thereby not only being beneficial to improving the mobility of hydrogen, but also increasing the safety of hydrogen underground storage.

Abstract: An infinitely expandable modular visual device for simulation of flow in porous media, including a simulation component, a fluid conveying component, and an image acquisition component; the simulation component includes a plurality of simulation units forming at least one layer of simulation unit array, the simulation unit includes a mounting base and a microscopic visualization model including a chip cover and a chip carrier having a porous media region and covered by the chip cover; the mounting bases of respective simulation units are connected to each other, the porous media regions of adjacent simulation units are communicated with each other; the fluid conveying component includes an injection-production pipeline communicated with the simulation units and configured to introduce the simulation fluid into the porous media region; the image acquisition component includes an image sensor facing the simulation unit for acquiring images of fluid flow in porous media.

Abstract: There is provided a system and method for determining individualized head related transfer functions (HRTF) for a user. The method including: receiving measurement data from the user, the measurement data generated by repeatedly emitting an audible reference sound at positions in space around the user and, during each emission, recording sounds received near each ear of the user, the measurement data including, for each emission, the recorded sounds and positional information of the emission; determining the individualized HRTF by updating a decoder of a trained generative artificial neural network model, the decoder receives the measurement data as input, the trained generative artificial neural network model including an encoder and the decoder, the generative artificial neural network model is trained using data gathered from a plurality of test subjects with known spectral representations and directions for associated HRTFs at different positions in space; and outputting the individualized HRTF.

Abstract: An aqueous carbon dioxide foam stabilized by organic Janus nanosheets, a preparation method and application thereof. The preparation method can be provided as: S1: subjecting molecules with hydrophobic tail to spontaneous and ordered arrangement in a mixture of ethanol and water; S2: adding molecules with hydrophilic head to the solution of S1, and adjusting a pH value to 6.0-6.5 to perform a synthesis of organic Janus nanosheet monomers; S3: adding ethanol to the solution of S2, and adjusting the pH value to 6.0-6.5 to perform a heating reflux; then adjusting the pH value to 7.0-8.0, and adding sodium ethylate, adjusting a temperature to 70-85° C. to perform a reaction under an inert atmosphere, and then adjusting the pH to 8.0-9.0, and stirring to be completely dissolved. The aqueous CO2 foam is prepared from CO2 and a liquid phase.

Abstract: Environment-friendly reinforced foam for underground hydrogen storage and a preparation method thereof. The reinforced foam includes hydrogen and a liquid phase, where the liquid phase is an aqueous solution of a foaming agent, a foam stabilizer, a pH regulator and a particle cosolvent; and the foam stabilizer is a compounded system composed of 0-dimensional nanomaterial and 1-dimensional nanomaterial at a mass ratio of 2-5:1. In the reinforced foam of the present disclosure, the 0-dimensional and the 1-dimensional nanomaterials are compounded to form a nano-armor layer, which improves the stability of foam and the interfacial viscoelasticity of a liquid film by synergistic reinforcement, and inhibits the viscous fingering, escape and leakage of hydrogen in a reservoir, thereby not only being beneficial to improving the mobility of hydrogen, but also increasing the safety of hydrogen underground storage.

Abstract: A method for performing hash code calculations may calculate, during a write operation for a data block, a hash code for an occupied portion of the data block, insert, during the write operation, a marker into the data block, calculate, during a read operation for the data block, a hash code for the occupied portion of the data block, search, during the read operation, for the marker in the data block, and terminate the hash code calculation in response to finding the marker.

Abstract: The embodiments of the present disclosure relate to a thermally-insulated conduit (TIC) for use in conducting fluids from a first location to a second location. The TIC a metal conduit; and at least a first layer of a thermal-insulation material (TIM) that is operatively coupled to the metal conduit for preventing transfer of some, substantially most or all thermal energy between inside the conduit and outside the conduit.

Abstract: A storage device is disclosed. The storage device may include a first storage. The first storage may include a primary firmware slot to store a first firmware, a secondary firmware slot to store a second firmware, a primary file system slot to store an existing file system, and a secondary file system slot. The storage device may include a processor configured to execute the first firmware or the second firmware. The storage device may include a second storage for user data, the second storage configured to use the existing file system. The second firmware may include a tag indicating that the second firmware is subject to bootup activation.

Abstract: A method for performing hash code calculations may include calculating, during a write operation for a data block, a hash code for an occupied portion of the data block, inserting, during the write operation, a marker into the data block, calculating, during a read operation for the data block, a hash code for the occupied portion of the data block, searching, during the read operation, for the marker in the data block, and terminating the hash code calculation in response to finding the marker. A system may include a first interface configured to receive data blocks, a second interface configured to transmit data blocks, and hash logic coupled between the first and second interfaces, wherein the hash logic is configured to calculate a hash code for the occupied portion of a data block received through the first interface, and insert a marker in an unoccupied portion of the data block.

Abstract: A storage device is disclosed. The storage device may include a first storage. The first storage may include a primary firmware slot to store a first firmware, a secondary firmware slot to store a second firmware, a primary file system slot to store an existing file system, and a secondary file system slot. The storage device may include a processor configured to execute the first firmware or the second firmware. The storage device may include a second storage for user data, the second storage configured to use the existing file system. The second firmware may include a tag indicating that the second firmware is subject to bootup activation.

Abstract: A method for performing hash code calculations may include calculating, during a write operation for a data block, a hash code for an occupied portion of the data block, inserting, during the write operation, a marker into the data block, calculating, during a read operation for the data block, a hash code for the occupied portion of the data block, searching, during the read operation, for the marker in the data block, and terminating the hash code calculation in response to finding the marker. A system may include a first interface configured to receive data blocks, a second interface configured to transmit data blocks, and hash logic coupled between the first and second interfaces, wherein the hash logic is configured to calculate a hash code for the occupied portion of a data block received through the first interface, and insert a marker in an unoccupied portion of the data block.

Abstract: Systems and methods are provided for automatedly troubleshooting a computing application (e.g., a cloud-based computing application). An application domain of the computing application is modeled as a two-dimensional array of cells, a first dimension of the array representing components or microservices of the application domain, and a second dimension of the array representing states of the components or microservices, the array including paths between pairs of cells in the array. A troubleshooting goal is defined as a target state of the application domain, the target state corresponding to a target cell in the array. An initial state of the application domain is also provided, the initial state corresponding to an initial cell in the array. A reinforcement-learning-trained machine-learning algorithm can determine a solution path in the array between the initial cell and the target cell. Divergence between a failure case and a solution path indicates a probable failure cause.

Abstract: The disclosure provides a low-dose image reconstruction method and system based on prior anatomical structure difference.

Abstract: The present disclosure discloses a method and a system for generating a composite PET-CT image based on a non-attenuation-corrected PET image. The method includes: constructing a first generative adversarial network and a second generative adversarial network; obtaining a mapping relationship between a non-attenuation-corrected PET image and an attenuation-corrected PET image by training the first generative adversarial network; obtaining a mapping relationship between the attenuation-corrected PET image and a CT image by training the second generative adversarial network; and generating the composite PET-CT image by utilizing the obtained mapping relationships. According to the present disclosure, a high-quality PET-CT image can be directly composited from a non-attenuation-corrected PET image, and medical costs can be reduced for patients, and radiation doses applied to the patients in examination processes can be minimized.

Abstract: Systems and methods are provided for automatedly troubleshooting a computing application (e.g., a cloud-based computing application). An application domain of the computing application is modeled as a two-dimensional array of cells, a first dimension of the array representing components or microservices of the application domain, and a second dimension of the array representing states of the components or microservices, the array including paths between pairs of cells in the array. A troubleshooting goal is defined as a target state of the application domain, the target state corresponding to a target cell in the array. An initial state of the application domain is also provided, the initial state corresponding to an initial cell in the array. A reinforcement-learning-trained machine-learning algorithm can determine a solution path in the array between the initial cell and the target cell. Divergence between a failure case and a solution path indicates a probable failure cause.

Abstract: According to one general aspect, an apparatus may include a storage element configured to store both data and metadata, wherein each piece of data is associated with and stored with a corresponding piece of metadata. The apparatus may include a controller processor. The controller processor may be configured to, in response to a piece of data being written to the apparatus: generate a piece of metadata that includes a set of parameters to facilitate a at least partial repair of a block information map, and embed the piece of metadata with the corresponding piece of data.

Abstract: Systems and methods are provided for automatedly troubleshooting a computing application (e.g., a cloud-based computing application). An application domain of the computing application is modeled as a two-dimensional array of cells, a first dimension of the array representing components or microservices of the application domain, and a second dimension of the array representing states of the components or microservices, the array including paths between pairs of cells in the array. A troubleshooting goal is defined as a target state of the application domain, the target state corresponding to a target cell in the array. An initial state of the application domain is also provided, the initial state corresponding to an initial cell in the array. A reinforcement-learning-trained machine-learning algorithm can determine a solution path in the array between the initial cell and the target cell. Divergence between a failure case and a solution path indicates a probable failure cause.

Abstract: The present disclosure discloses a method and a system for generating a composite PET-CT image based on a non-attenuation-corrected PET image. The method includes: constructing a first generative adversarial network and a second generative adversarial network; obtaining a mapping relationship between a non-attenuation-corrected PET image and an attenuation-corrected PET image by training the first generative adversarial network; obtaining a mapping relationship between the attenuation-corrected PET image and a CT image by training the second generative adversarial network; and generating the composite PET-CT image by utilizing the obtained mapping relationships. According to the present disclosure, a high-quality PET-CT image can be directly composited from a non-attenuation-corrected PET image, and medical costs can be reduced for patients, and radiation doses applied to the patients in examination processes can be minimized.