Abstract: An example apparatus includes a first amplifier stage having a first stage input, a first input pair having a first input and a first output coupled to the first stage input, a second input pair having a second input and a second output, current steering circuitry having a third input, a fourth input, a third output, and a fourth output, the third output coupled to the first input and the fourth output coupled to the second input, source follower circuitry having a fifth input and a fifth output, the fifth output coupled to the first input, and a comparator having a sixth output coupled to the fifth input.

Abstract: The present invention provides an antibody or antigen-binding portion thereof that can bind to properdin (factor P). The antibody of the current invention leads to selective inhibition of alternative complement pathway while allowing the classical and lectin pathways to continue. Further, the antibody of the present invention may have modified or reduced binding to Fc?Rs to minimize its ADCC activity. The present invention provide an antibody that comprises an amino acid sequence to minimise its CDC activity. The antibody according to the present invention has higher FcRn binding affinity and therefore the antibody according to the present invention may have long circulating half-life in the body of the patient and it can be given at a reduced dosing frequency. The antibody according to the present invention can further be used in the preparation of a drug for treating diseases through inhibition of alternative complement pathway.

Abstract: A method and system of testing a fine-tuned LLM for domain specific code generation is disclosed. Further, a processor receives a test dataset corresponding to a domain from a code repository. Further, the processor determines an LLM generated problem statement corresponding to the test code using the fine-tuned LLM. The fine-tuned LLM is fine-tuned based on a training dataset. Further, the fine-tuned LLM is prompted based on the LLM generated problem statement to determine an LLM generated code for a corresponding test function. The accuracy level of the fine-tuned LLM is determined based on a percentage match between the LLM generated code with the test code for each of the set of test functions.

Abstract: The present invention relates to an antibody or antigen-binding portion thereof that can bind to human programmed death 1 (PD-1). The antibody according to the present invention is further used in the preparation of a drug for treating disease in which expression of PD-1 is detrimental.

Abstract: In described examples, a circuit includes a first current source, a second current source, a first bipolar junction transistor (BJT), a second BJT, a third BJT, a fourth BJT, and a fifth BJT. A base of the second BJT is coupled to a first terminal of the first current source. A base of the third BJT is coupled to a first terminal of the second current source, and an emitter of the third BJT is coupled to an emitter of the second BJT and a collector of the first BJT. A base of the fifth BJT is coupled to a base and an emitter of the fourth BJT and to a collector of the third BJT, and a collector of the fifth BJT is coupled to an emitter of the first BJT.

Abstract: A log of resource modifications in a cloud computing environment is incrementally transmitted to a threat management facility. The threat management facility can analyze the log, along with related identity information, to determine when additional information might be useful to detect a malicious misconfiguration of cloud resources. The threat management facility can then access additional information through an application programming interface, and the additional information can be used to perform a detection, initiate remediation, and so forth. This approach advantageously permits fast detection of potential threats based on the continuous log reporting, while deferring high-latency API access to the cloud platform (and/or other computationally expensive operations) until appropriate for confirming detections that are raised based on the log.

Abstract: A graph of nodes is created representing entities in a cloud computing environment. Each one of the nodes of the graph can be characterized by inherent risks associated with known vulnerabilities and configuration details of the node, as well as a probability of exposure to other nodes based on access and control permissions for those other nodes connected to the node through the graph. In addition, the underlying value or sensitivity of data stored on the node may also be provided. With this data available as context, a probabilistic model for the relevance of threat evidence can then be derived from the graph and used to evaluate the overall riskiness or severity of accumulated evidence of threats to a node in the cloud computing environment.

Abstract: A variety of techniques are used to locate and characterize relationships among user identities in a cloud computing environment, and to create a persistent database of identity mappings. The resulting identity mapping database can enable improved threat detection in the cloud computing environment, particularly in cases where an attack might otherwise be obscured as a number of low-severity detections associated with different entities. For example, the identity mapping database can facilitate threat scoring for a group of related entities and the detection of attacks that are coordinated among two or more such identities. The identity mapping database may also or instead be used to identify an attacker that hides an attack by switching identities during the attack.

Abstract: An evidence table for threat data in a cloud computing environment permits independent tracking of several parameters related to the potential threat posed by a new instance of threat data. The evidence table may, for example, combine a first measure of threat severity, a second measure of the duration over which an instance of threat data remains relevant, and a third measure of dependency on other types of threat data. This approach can improve threat detection by facilitating storage and analysis of threat information based on the significance, temporal relevance, and interdependency of threat information without requiring persistent tracking of all available threat information for a cloud computing environment.

Abstract: A system and method for detecting cold start user activity anomalies in a cloud computing environment comprise an anomaly detection system collecting historical activity data of users of a plurality of endpoint computers arranged in an account. An average user baseline behavior model is trained for the account from the historical activity data of the users arranged in the account. The anomaly detection system applies the average user baseline behavior model to a cold start user activity and detects an anomaly in response to a comparison between the cold start user activity and the average user baseline behavior model. The anomaly detection system displays an alert based on a determination from the comparison that at least one anomaly of the plurality of anomalies is detected by the cold start user activity deviating from the average user baseline behavior model by a predetermined threshold.

Abstract: An output stage of an operational amplifier includes a low voltage (LV) metal oxide semiconductor (MOS) device and a dynamic current limit circuit. An output current of the operational amplifier flows through the LV MOS device. The dynamic current limit circuit is configured to sense a drain voltage of the LV MOS device and increase a clamping voltage for the LV MOS device when the drain voltage of the LV MOS device is less than a threshold voltage.

Abstract: Systems and methods that process, classify, and provide intelligent insights related to received documents such as notice documents in real-time. The system and methods leverage a novel framework of artificial intelligence and machine learning techniques to identify a requirement in the document (e.g., a government notice) and generate actionable suggestions thereto.

Abstract: An example apparatus includes a first amplifier stage having a first stage input, a first input pair having a first input and a first output coupled to the first stage input, a second input pair having a second input and a second output, current steering circuitry having a third input, a fourth input, a third output, and a fourth output, the third output coupled to the first input and the fourth output coupled to the second input, source follower circuitry having a fifth input and a fifth output, the fifth output coupled to the first input, and a comparator having a sixth output coupled to the fifth input.

Abstract: An output stage of an operational amplifier includes a low voltage (LV) metal oxide semiconductor (MOS) device and a dynamic current limit circuit. An output current of the operational amplifier flows through the LV MOS device. The dynamic current limit circuit is configured to sense a drain voltage of the LV MOS device and increase a clamping voltage for the LV MOS device when the drain voltage of the LV MOS device is less than a threshold voltage.

Abstract: The present invention provides an antibody or antigen-binding portion thereof that can bind to properdin (factor P). The antibody of the current invention leads to selective inhibition of alternative complement pathway while allowing the classical and lectin pathways to continue. Further, the antibody of the present invention may have modified or reduced binding to Fc?Rs to minimize its ADCC activity. The present invention provide an antibody that comprises an amino acid sequence to minimise its CDC activity. The antibody according to the present invention has higher FcRn binding affinity and therefore the antibody according to the present invention may have long circulating half-life in the body of the patient and it can be given at a reduced dosing frequency. The antibody according to the present invention can further be used in the preparation of a drug for treating diseases through inhibition of alternative complement pathway.

Abstract: The present invention relates to an antibody or antigen-binding portion thereof that can bind to human programmed death 1 (PD-1). The antibody according to the present invention is further used in the preparation of a drug for treating disease in which expression of PD-1 is detrimental.

Abstract: A system is disclosed for assessing or depicting the degree of bone fusion in an area. The system involves receiving three dimensional image data from a patient of a portion of a patient's body. Using the data, the scanned portion of the patient's body is reconstructed. The system permits a user to select a volume within the reconstructed volume which defines a volume of interest. The density of each voxel is detected within the volume of interest. An analysis is conducted on the voxel densities to determine the amount of fusion that has occurred, the higher the density in a prescribed area the greater the amount of fusion that has occurred. The system generates a depiction of the density.

Abstract: A method and a system for generating an image by obtaining x-ray image data, segmenting the x-ray image data into a first portion above a vertical threshold and a second portion below the vertical threshold. Further, the method and the system include generating an arch for the second plurality of slices, and generating an image based on the arch.

Abstract: The present invention provides an expression vector for the production of proteins and peptides comprising a promoter operably linked to gene of interest, TPL and VA genes I and II, matrix attachment regions (MARs)/SARs, and antibiotic marker. The vector is transfected in suitable host cell.

Abstract: A method and a system for generating a panoramic x-ray image by obtaining volumetric x-ray image data having a first plurality of slices, segmenting the x-ray image data into a first portion above a vertical threshold and a second portion below the vertical threshold, and separating the second portion into a second plurality of slices. Further, the method and the system include generating a plurality of curves for each slice in the second plurality of slices, generating a master arch for the second plurality of slices, and generating a panoramic image based on the master arch.