Abstract: Described herein are BBB-transporting fusion proteins, polynucleotides encoding the fusion proteins and mammalian cells genetically modified to express and secrete the fusion proteins, as well as compositions, implantable devices and device preparations comprising the fusion proteins or genetically modified cells secreting the fusion proteins, and methods of making and using the same for treating various CNS diseases and conditions, e.g., any mucopolysaccharidosis type with CNS manifestations.

Abstract: The spin-orbit torque-based random number generator includes a spin torque generation layer including a first spin torque layer and a second spin torque layer, a magnetization-free layer, a tunnel barrier layer, and a magnetization pinned layer, wherein the second spin torque layer is disposed between the magnetization-free layer and the first spin torque layer and generates field-like torque (FLT) and damping-like torque (DLT) related to the magnetization direction of the magnetization-free layer; the first spin torque layer adjusts a torque ratio according to the size of field-like torque to the size of damping-like torque in conjunction with the thickness of the second spin torque layer; in the magnetization-free layer, a magnetization direction is randomly aligned up or down based on the adjusted torque ratio; and a random number is generated based on current that is switched and output based on the randomly aligned magnetization direction.

Abstract: Disclosed herein is an apparatus and method for searching for a neural network architecture. The apparatus calculates operator selection probability variables for respective layers based on candidate operators included in the respective layers in a supernet learning framework in which multiple layers are sequentially connected, calculates the result values of the multiple layers based on the operator selection probability variables, and selects any one of the candidate operators included in the multiple layers based on the result values.

Abstract: The present disclosure relates to a method for reconstructing a three-dimensional model based on a multi-view image and a device therefor. A method for reconstructing a three-dimensional model according to an embodiment of the present disclosure may include obtaining n (n>1) multi-view images, and a first two-dimensional feature map and a first three-dimensional feature map, based on n depth maps for the n multi-view images; estimating a mesh through occupancy prediction based on the first two-dimensional feature map and the first three-dimensional feature map; and applying a texture estimated based on a second two-dimensional feature map and a second three-dimensional feature map obtained based on the n multi-view images and the n depth maps to the estimated mesh to obtain a texture-applied final model.

Abstract: A method of a base station may comprise: receiving, from a location management function (LMF) device, location information request common information elements (IEs) including indication information on a location information reporting type and reporting criteria information on reporting criteria according to the location information reporting type; providing, to a terminal, the location information request common IEs including the indication information and the reporting criteria information; receiving, from the terminal, a location information report according to the indication information and the reporting criteria information; and providing the received location information report to the LMF device.

Abstract: The current disclosure describes simplified methods of preparing cells for patient infusion where the simplified methods result utilize less steps than conventional methods, decreasing required manipulation steps and reducing the time between beginning of cell manipulation for administration and ultimate administration to a patient. Methods of cryopreserving, thawing, and diluting cells and kits for practicing the methods are also provided herein.

Abstract: A chip testing method and apparatus are provided, and the method includes: providing a plurality of chips, each of the chips including an input pin, an output pin, and a state machine circuit; connecting the input pin of each of the chips to a same input start module which outputs a start signal to each of the chips to start the state machine circuits; configuring the state machine circuit of each of the chips to output a test excitation to test the chips and obtain a test result; and connecting the output pin of each of the chips to a same testing module which outputs the test result of each of the chips.

Abstract: There is provided a DRAM including a plurality of mats composed of cell arrays, comprising: a first mat including a first cell array that is aligned by first bitlines and first wordlines; a second mat including a second cell array that is adjacent to the first mat and aligned by second bitlines and second wordlines; and a bitline sense amplifier shared by the first bitlines of the first mat and the second bitlines of the second mat, wherein the bitline sense amplifier connected to the first mat is shared only with the second mat.

Abstract: A method and device for generating and displaying interactive 3D content are disclosed. According to one embodiment of the present disclosure, a method of generating and displaying interactive 3D content performed by a device may include receiving sensing data on a user's body from at least one sensor attached to the user's body; obtaining feature data related to the user's body and movement based on the sensing data; obtaining a content level or difficulty matching the user by inputting feature data and 3D (dimension) content into an artificial intelligence (AI) model; setting a level or difficulty of the 3D content according to the obtained content level or difficulty; and uploading the 3D content to a display terminal worn by the user.

Abstract: A particle that includes a core and one or more layers. The core includes a fertilizer element. The one or more layers may include a polycation polymer and/or a polyanion polymer. Compositions include a plurality of particles and methods of using the particles and compositions containing the same.

Abstract: The present disclosure relates to methods for treating, managing, or reducing the severity of one or more neurodegenerative disorders by administration of Candida rugosa lipase (CRL) to a patient in need thereof. The present disclosure also relates to pharmaceutical compositions comprising CRL for treating, managing, or reducing the severity of one or more neurodegenerative disorders. The present disclosure also relates to dietary supplements comprising CRL for improving memory and/or cognitive function in a subject in need thereof.

Abstract: The present disclosure relates to methods for treating, managing, or reducing the severity of one or more neurodegenerative disorders by administration of Candida rugosa lipase (CRL) to a patient in need thereof. The present disclosure also relates to pharmaceutical compositions comprising CRL for treating, managing, or reducing the severity of one or more neurodegenerative disorders. The present disclosure also relates to dietary supplements comprising CRL for improving memory and/or cognitive function in a subject in need thereof.

Abstract: Recombinant proteins that stimulate an immune response in the presence of naturally inhibitory ligand binding are described. The recombinant proteins include an extracellular domain of an inhibitory immune cell protein and an intracellular domain of a stimulatory immune cell protein connected via a transmembrane domain. The recombinant proteins can be used to stimulate immune cell activation in the fight against cancers and infectious diseases, among other uses.

Abstract: An operation method of a terminal in a communication system may comprise: receiving, from a base station, a first SSB; determining a RACH occasion associated with the first SSB; transmitting, to the base station, a PRACH preamble in the RACH occasion within a first radio resource to which a first SCS is applied; determining a slot to which the RACH occasion belongs based on a reference radio resource to which a reference SCS is applied instead of the first SCS; determining an RNTI for a random access procedure based on a slot index for the slot; and performing a reception operation of a response for the PRACH preamble by using the RNTI in the first radio resource.

Abstract: Embodiments of the present disclosure are directed towards devices and methods for identifying preferred access networks based at least in part on access network information including access network assistance information, steering policies, or access commands. In some embodiments, conflicts between access network information and access network discovery and selection function (ANDSF) policies may be rectified in identifying a preferred access network.

Abstract: A thermal imaging surface processing auxiliary system applicable for apparatus using a grinding tool to perform surface processing, includes a thermal imaging sensor and a computing device. The thermal imaging sensor photographs at least one of the grinding tool and the workpiece to generate thermal image. The computing device obtains a temperature change of an observation area in the thermal image. When the temperature change is not greater than a preset critical value, the computing device controls the apparatus to move the grinding tool toward the workpiece at a speed greater than a preset processing speed. When the temperature change is greater than the preset critical value, the computing device controls the apparatus to move the grinding tool toward the workpiece at the preset processing speed, wherein the observation area corresponds to a portion other than the contact portion between the grinding tool and the workpiece.

Abstract: A battery assembly for a motor vehicle includes: heat exchange panels arranged one above another along a first axis, each heat exchange panel being corrugated in the form of crenelations including, in alternation and along a second axis orthogonal to the first axis, a peak and a trough, a fluid flow conduit being formed at at least one of the trough of each crenelation and the peak of each crenelation; and battery modules arranged in parallel and staggered, each battery module including at least one battery cell in pouch form, each battery module being housed in at least one crenelation so as to exchange heat with the fluid. A method for manufacturing such a battery assembly is also disclosed.

Abstract: A device (10) for locking a clasp (20), including: a push-piece (100) which can move translatably in a support structure (110) between a rest position in which it is intended to prevent the clasp (20) from opening and an active position in which it is intended to no longer prevent the opening of the clasp (20); and a blocking member (120) for blocking the push-piece (100), which member is configured to occupy a locking state in which it immobilises the push-piece (100) in the rest position, and an unlocking state in which it releases the push-piece (100) translatably.

Abstract: This invention relates to an electronic device and method for performing real-time occupancy-based home energy management. By using advanced neural network models to detect user occupancy patterns, the system optimizes appliance operation schedules to reduce energy costs, enhance system efficiency, and prolong device lifespan.

Abstract: An operator learning model generator is provided for training a smooth operator learning model for predicting airflow dynamics in a room used by a controller connected to a heating, ventilation and air conditioning (HVAC) system. The operator learning model generator includes an interface circuit configured to receive a training dataset via a network connected to a simulation computer, wherein the training dataset includes solution trajectories of airflow in the room for various times series of control actions given to the HVAC system, a memory configured to store the smooth operator learning model comprising an auto-encoder and a neural ordinary differential equation, the training dataset, and training instructions for the smooth operator learning model, and a processor configured to train the smooth operator learning model stored in the memory, wherein the training instructions comprise a jerk regularization that enforces smoothness of the dynamics predicted by the smooth operator learning model.