Abstract: This invention relates to cellulosic fibers, containing incorporated indigo pigments in the oxidized form, wherein the fibers are made according to a modal process, show a tenacity (conditioned) of at least 29 cN/tex and a wet modulus according to BISFA of at least 5 cN/tex/%. Furthermore, the invention relates to the manufacture and the use of such fibers in fabrics.

Abstract: Systems and techniques are provided for trust agents. Trust agents may be enabled. A state determination may be received from each of the enabled trust agents. The state determination may indicate either a trusted state or an untrusted state. The received state determinations may be combined to determine a security state. A security measure may be enabled or disabled based on the determined security state.

Abstract: Compositions comprising bile acids or their salts and methods of use thereof for the treatment of residual lesions of vascular anomalies.

Abstract: The present application encompasses methods and apparatus for heating a load such as clothes immersed in a medium such as water during a heating period. A method embodiment of the present invention comprises heating the load and medium within an enclosure by subjecting said load and medium to heated air originated from a conventional energy source; and applying heat to said load and medium within the enclosure via an AC electrical field, embodied as a capacitor, originated from an RF power source.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for verifying record data. An example method includes creating the plurality of datasets ranked by the dataset risk level, receiving a dataset from a plurality of datasets ranked by a dataset risk level, where the dataset includes one or more records and each record including data elements. The example method further includes applying a set of rules to the data elements of the one or more records to identify anomalous data elements, and displaying an association between each anomalous data element and each corresponding rule violation, where each anomalous data element is associated with a data element risk.

Abstract: Apparatus having model-based machine learning and inferencing logic for controlling object transfer, comprises: an image input component to receive image data derived from a captured image of an object; a captured image classifier to 5 generate a first classification of the object by activating a trained model to analyse the image data; an input component to receive an object identifier for the object; an object identification classifier to generate a second classification of the object according to the object identifier; matching logic to detect failure to reconcile the first and second classification; heuristic logic responsive to the matching logic to 10 determine a causal factor in the failure; and training logic, operable when the heuristic logic determines that a causal factor in the failure to reconcile is a deficient first classification, to provide model training input comprising the image data and the object identifier to the model-based machine learning logic.

Abstract: Various aspects and embodiments of automation in tenancy transitions are described. Among other aspects or features of the embodiments, a computing device in an automation or gateway hub receives and stores automation settings from an automation management service environment over time. The automation settings can include different settings for various states of occupancy of a rental unit or dwelling. For example, the automation settings can include a first set of automation settings, which can be used while the dwelling is occupied, and a second set automation settings for use after the dwelling is no longer occupied. The automation or gateway hub can determine whether a transition has occurred for the dwelling and, in response to the transition, load the different automation settings into one or more home automation devices of the dwelling.

Abstract: A Discrete Sample Introduction Module (DSIM) apparatus includes an internal tubing system to receive into the DSIM apparatus a discrete gas sample having a received concentration. A plurality of valves selectively partitions the internal tubing system to form a plurality of loops corresponding to a plurality of loop volumes to contain the discrete gas sample. The plurality of loop volumes receives a carrier gas to dilute the discrete gas sample to a plurality of preselected dilutions. The DSIM apparatus circulates a given one of the plurality of preselected dilutions for analysis by a spectrometer coupled to the DSIM apparatus.

Abstract: An ear tip includes a body configured to be mounted onto an earbud. The body includes a first end, a second end opposite the first end, and a first wall extending between the first and second ends. The first wall defines and surrounds a hollow passage that is configured to conduct sound waves. The first wall is configured to engage a nozzle on the earbud. The first wall includes a ring that is formed of a rigid material and engages the nozzle. The ring includes at least one C-shaped member with at least one gap and a compliant material is molded around the ring and fills the gap.

Abstract: Provided is machine learning apparatus comprising: a dataset for input to a training procedure of a machine learning model; data capture logic operable to capture from an object at least one datum for inclusion in the dataset; association logic operable to derive an additional characteristic of the object; annotator logic operable in response to the data capture logic and the association logic to create an annotation linking the additional characteristic with the at least one datum; storage logic operable to store the or each datum with an associated annotation in the dataset; and input logic to supply the dataset as machine learning input.

Abstract: A computer-implemented method comprises obtaining first data comprising a first collection of coordinate data representing a position, or positions, of a first group of one or more objects detected in a first frame of a scene and obtaining second data comprising a second collection of coordinate data representing a position, or positions, of a second group of one or more objects detected in a second frame of the scene, wherein the second frame represents a different view of the scene than the first frame. The method further comprises determining whether any of the first group of objects correspond to any of the second group of objects in the scene based on the first collection of coordinate data and the second collection of coordinate data, wherein the first frame and the second frame are obtained from image data captured from a single camera position.

Abstract: A dry granulation process using a twin-screw extruder for granulating a powder mixture which includes at least one active ingredient and at least one carrier. The process includes steps of kneading the powder mixture in the screw barrel of the twin-screw extruder at a barrel temperature below a melting point of the at least one active ingredient and a melting point or a glass transition temperature of the at least one carrier to provide a kneaded powder mixture, and extruding the kneaded powder mixture to form granules. Granules and tablets produced using the dry granulation process in the twin-screw extruder are also provided.

Abstract: An enhanced security of multiple software processes executing on a computer system is provided by isolating those processes from each other and from access to system hardware resources. Embodiments provide such isolation by executing kernel software that manages hardware and controls physical address space on a separate hardware thread (e.g., in an isolation domain) from the process threads executing application programs (e.g., in execution domains). This renders the software executing in the isolation domain safe from privilege escalation attacks and permits implementation of enforceable isolation between execution systems. A multithreaded processor having switch-on-event multithreading is used to provide software isolation and hardware-controlled handling of a subset of system services by a different hardware thread than the one requesting the service.

Abstract: A processing system includes a system interconnect, a processor coupled to communicate with other components in the processing system through the system interconnect, distributed general purpose registers (GPRs) in the processing system wherein a first subset of the distributed GPRs is located in the processor and a second subset of the distributed GPRs is located in the processing system and external to the processor, and a first set of conductors directly connected between the processor and the second subsets of the distributed GPRs. An instruction execution pipeline in the processor accesses any register in the first and second subsets of the distributed GPRs as part of the processor's GPRs during instruction execution in the processor, in which the second subset of the distributed GPRs is accessed through the first conductor.

Abstract: Products containing a nicotine-polymer complex are provided herein, which can optionally further include one or more, different nicotine components. Certain such products are pouched products including an outer water-permeable pouch defining a cavity containing a composition comprising a water-soluble component capable of being released through the water-permeable pouch. The disclosure further provides methods of preparing such products.

Abstract: The present invention is directed, in part, to methods of treating Epidermolysis Bullosa (EB) in a subject in need thereof, comprising topical administration of a pharmaceutical composition comprising a therapeutically effective amount of a of Coenzyme Q10 (CoQ10) to the subject.

Abstract: The disclosed computer-implemented method may include (1) receiving an image of a section of a sectionable tissue sample block, the image including image data of, embedded into the section of the sectionable tissue sample block, (A) a section of a tissue sample, and (B) a section of a sectionable fiducial marker, (2) determining an attribute of the section of the sectionable fiducial marker from the received image of the section of the sectionable tissue sample block, and (3) executing a tissue sample management action based on the determined attribute of the section of the sectionable fiducial marker. Various other methods, systems, apparatuses, and computer-readable media are also disclosed.

Abstract: A system, method, and apparatus are provided for handling communications with external communication channel hardware devices by a processor executing event-based programming code to interface a plurality of virtual machines with the external communication channel hardware devices by providing the processor with an event latch for storing hardware events received from the external communication channel hardware devices, with a timer circuit that generates a sequence of timer interrupt signals, and with a masking circuit that masks the hardware events stored in the event latch with an event mask in response to each timer interrupt signal, where each event mask is associated with a different virtual machine running on the processor such that each virtual machine is allowed to communicate only on a masked subset of the hardware events specified by the event mask to ensure freedom from interference between the plurality of virtual machines when communicating with the external communication channel hardware device

Abstract: A processor including a pointer storage that stores pointer descriptors each including addressing information, an arithmetic logic unit (ALU) configured to execute an instruction which includes operand indexes each identifying a corresponding pointer descriptor, multiple address generation units (AGUs), each configured to translate addressing information from a corresponding pointer descriptors into memory addresses for accessing corresponding operands stored in a memory, and a smart cache. The smart cache includes a cache storage, and uses the memory addresses from the AGUs to retrieve and store operands from the memory into the cache storage, and to provide the stored operands to the ALU when executing the instruction. The smart cache replaces a register file used by a conventional processor for retrieving and storing operand information. The pointer operands include post-update capability that reduces instruction fetches. Wasted memory cycles associated with cache speculation are avoided.

Abstract: The present disclosure provides to transparent and controllable human-AI interaction via chaining of machine-learned language models. In particular, although existing language models (e.g., so-called “large language models” (LLMs)) have demonstrated impressive potential on simple tasks, their breadth of scope, lack of transparency, and insufficient controllability can make them less effective when assisting humans on more complex tasks. In response, the present disclosure introduces the concept of chaining instantiations of machine-learned language models (e.g., LLMs) together, where the output of one instantiation becomes the input for the next, and so on, thus aggregating the gains per step.