Abstract: The present disclosure relates to a biodegradable polymer and a process for its preparation. The components of the biodegradable polymer of the present disclosure are obtained from natural and fossil resources and therefore the biodegradable polymer of the present disclosure has enhanced biodegradation properties. The process of the present disclosure is effective.

Abstract: Embodiments disclosed herein relate to user-centric security classifications of cryptographic token sets that represent a prediction of whether a token set is malicious. A user-centric security classification of a token set is generated according to user behaviors that characterize users involved with the token set, including users holding tokens of the token set and users creating tokens of the token set. A model is trained to recognize user behaviors of certain users whose involvement with the token set increase the likelihood that the token set is non-malicious and secure. Such user behaviors that the model is trained to recognize include high time-rank behaviors, or holding onto cryptographic tokens for extended lengths of time. Upon generation of a user-centric security classification for a token set, graphical displays of tokens or of the token set are updated to reflect the user-centric security classification.

Abstract: An example apparatus includes interface circuitry, machine-readable instructions, and at least one processor circuit to be programmed by the machine-readable instructions to sparsify a base model of a foundation model to generate a sparse base model, apply a neural low-rank adapter search to the sparse base model, and output a fine-tuned base model based on application of the neural low-rank adapter search to the sparse base model.

Abstract: Systems and methods are provided for controlling a wake-up operation of a memory circuit. The memory circuit may include a memory array with a plurality of memory cells, first logic circuitry, first switching circuitry, first latch circuitry, and second switching circuitry. The first logic circuitry may be configured to generate a first bit line pre-charge signal for a first memory cell of the plurality of memory cells, where the first bit line pre-charge signal is generated in response to a sleep signal. The first switching circuitry may be configured to provide power to one or more bit line of the first memory cell in response to the first bit line pre-charge signal. The first latch circuit may receive the sleep signal and the first bit line pre-charge signal and generate a delayed sleep signal.

Abstract: Circuits and methods are described herein for controlling a bit line precharge circuit. For example, a control circuit includes a first latch circuit and a second latch circuit. The first latch circuit is configured to receive a first light sleep signal. The first latch circuit generates a second light sleep signal according to a clock signal. The second latch circuit is configured to receive the second light sleep signal. The second latch circuit generates a third light sleep signal according to a sense amplifier enable signal. The second latch circuit provides the third light sleep signal to a bit line reading switch, so the bit line reading switch is cutoff after a sense amplifier is enabled.

Abstract: Systems, computer program products, and methods are described herein for application anomaly detection using advanced computational AI machine learning modeling. In this way, performance metric data is extracted and the variances are derived by comparing the performance metrics of the application workload for the current time period against the same for a previous period. The AI model is trained at regular intervals by using the derived performance metrics data to identify only the candidate workloads which are degrading or underperforming at an early state, while avoiding reporting workloads that are not causing impact to performance stability of applications across an entity database network. The system monitors application workload across a relational database of an entity for degraded application performance and identifies changes in application workload performance and applies the anomaly detection artificial intelligence machine learning model.

Abstract: Computerized systems and methods are provided to intelligently and dynamically manage a data center comprising at least one server and at least one central manager. The central manager is programmed to access the at least one server on a predetermined schedule to determine whether at least one application is functioning properly by determining a functionality level. Alternatively, the central manager determines whether the at least one server is actively used by determining an activity level for the server. Based on the central manager's determinations, the system dynamically adjusts the power level of the server, resulting in reduced power consumption and a reduction in wasted resources and unnecessary processing power in the management of servers in a data center.

Abstract: Systems, apparatus, articles of manufacture, and methods are disclosed that monitor and correct for configuration drift in cloud accounts by instantiating or executing machine-readable instructions to access target state configuration information from a first user account for a cloud account, onboard the cloud account at a first time to configure cloud resources based on the target state configuration information, detect a first drift between the target state configuration information and an in-use configuration state of the cloud account at a second time, log a corresponding change in the in-use configuration state relative to the target state configuration information, the first event record logged in a timeline of second event records representing second drifts of the cloud account relative to the target state configuration information, and after the detection of the first drift, change an in-use configuration of the cloud account based on the target state configuration information.

Abstract: An embodiment semiconductor structure includes a metal layer. The semiconductor structure also includes a redistribution layer (RDL) structure including an RDL platform and a plurality of RDL pillars disposed between the RDL platform and the metal layer. Additionally, the semiconductor structure includes an under-bump metal (UBM) layer disposed on the RDL platform and a solder bump disposed on the UBM layer, where the UBM layer, the RDL platform, and the RDL pillars form an electrical connection between the solder bump and the metal layer.

Abstract: Techniques to adaptively support/enable a wireless network feature for certain wireless client devices without hampering the performance or connectivity of wireless client devices which do not support that wireless network feature. An access point or wireless network controller adaptively enables a wireless network feature without advertising support for the wireless network feature in a wireless network-standard compliant manner to allow one or more wireless clients that support the wireless network feature to use the wireless network feature when associated to the access point while enabling association of one or more wireless clients that do not support the wireless network feature.

Abstract: A thermal management system includes a refrigeration circuit that cools at least a first coolant that circulates around a battery cooling loop. Refrigerant of the refrigeration circuit is cooled at a liquid-cooled condenser and at an air-cooled condenser. In certain examples, the liquid-cooled condenser is cooled by coolant circulating along a propeller arrangement cooling loop. In certain examples, the coolant from the propeller arrangement cooling loop may be combined with coolant from the battery cooling loop.

Abstract: Techniques to adaptively support/enable a wireless network feature for certain wireless client devices without hampering the performance or connectivity of wireless client devices which do not support that wireless network feature. An access point or wireless network controller adaptively enables a wireless network feature without advertising support for the wireless network feature in a wireless network-standard compliant manner to allow one or more wireless clients that support the wireless network feature to use the wireless network feature when associated to the access point while enabling association of one or more wireless clients that do not support the wireless network feature.

Abstract: Methods, systems, and computer-readable media for distributed transactions across multiple consensus groups are disclosed. A distributed transaction system comprises a proposer and a plurality of consensus groups, including a first consensus group comprising a first plurality of members and a second consensus group comprising a second plurality of members. The proposer proposes a transaction to at least a portion of the first consensus group and at least a portion of the second consensus group. A majority of the members in the first consensus group agree to perform the transaction, where the transaction is selected from a plurality of proposed transactions involving the first consensus group. A majority of the members in the second consensus group also agree to perform the transaction. The members of the first and second consensus groups perform the transaction to update a plurality of stored replicas.

Abstract: Aspects of the preset document relate to social or group-based presentation of cryptographic objects. Cryptographic objects linked to members of a group are visually represented to each group member, such as in a “binder”-like presentation. Further, group activity related to the cryptographic objects is also presented to each group member. Specific object events of the group activity are detected based on searching an immutable cryptographic ledger. The object events are categorized according to value and volume of the cryptographic objects involved in the object events. With this event data (and event data for other related object events), event signifiers are assigned to object events and presented to group members. Example event signifiers include audio, persistent visuals, and/or dynamic visuals that are connected to visual representations of the cryptographic objects involved in the object events.

Abstract: Aspects of the disclosure generate independent encryption keys for objects (e.g., virtual machine disks (VMDKs)) without requiring the management of multiple keys. An encryption manager obtains a primary encryption key, an object identifier (ID) comprising a globally unique ID (GUID) for an object, a data salt comprising the object ID and a data salt string, and a metadata salt comprising the object ID and a metadata salt string. A data encryption key is generated using the primary encryption key, the data salt, and a one-way function. A metadata encryption key is generated using the primary encryption key, the metadata salt, and the one-way function. Because the data salt string and metadata salt string differ, the data encryption and metadata encryption keys differ. Object IDs for different objects differ, so each object and its metadata have globally unique keys. Key generation (other than the primary key) is deterministic, simplifying key management.

Abstract: A vehicular trailer assist system includes a camera disposed at a rear portion of a vehicle and viewing at least rearward of the vehicle, and an electronic control unit (ECU), which includes an image processor for processing image data captured by the camera. The ECU executes a deep neural network (DNN) to determine presence of a trailer in image data captured by the camera. The DNN, responsive to processing of image data captured by the camera, determines a position of a trailer in the captured image data. The DNN, responsive to determining the position of the trailer, classifies the trailer into a trailer category. The ECU, responsive to the DNN determining the position of the trailer and based on the classification, generates an output to autonomously control the vehicle to align the vehicle with the trailer and navigate the vehicle toward the trailer.

Abstract: An example method of managing a log-structured file system (LFS) on a storage device includes: receiving, at storage software executing on a host, an operation that overwrites a data block, the data block included in a segment of the LFS; determining from first metadata stored on the storage device, a change in utilization of the segment from a first utilization value to a second utilization value; modifying second metadata stored on the storage device to change a relation between the segment and a first bucket to be a relation between the segment and a second bucket, the first utilization value included in a range of the first bucket and the second utilization value included in a range of the second bucket; and executing a garbage collection process for the LFS that uses the second metadata to identify for garbage collection a set of segments in the second bucket.

Abstract: A controller (220) for determining a shape of an interventional medical device in an interventional medical procedure based on a location of the interventional medical device includes a memory (221) that stores instructions and a processor (222) that executes the instructions. The instructions cause a system (200) that includes the controller (220) to implement a process that includes obtaining (S320) the location of the interventional medical device (201) and obtaining (S330) imagery of a volume that includes the interventional medical device. The process also includes applying (S340), based on the location of the interventional medical device (201), image processing to the imagery to identify the interventional medical device (201) including the shape of the interventional medical device (201). The process further includes (S350) segmenting the interventional medical device (201) to obtain a segmented representation of the interventional medical device (201).

Abstract: A conversion circuit includes a replica feedback loop circuit and a CML to CMOS converter. The replica feedback loop circuit of a conversion circuit includes a first inverter, a first-stage amplifier and a second-stage amplifier. An input terminal of the first inverter is shorted to an output terminal of the first inverter. The second-stage amplifier of the replica feedback loop circuit is a replica of a half of a differential amplifier of the CML to CMOS converter. The replica feedback loop circuit is configured to generate a bias voltage that is used to bias the differential amplifier of the CML to CMOS converter, such that a common mode (CM) voltage outputted by the differential amplifier is same as a switching threshold voltage of a second inverter of the CML to CMOS converter.