Abstract: A fastening mechanism for retaining a heat sink upon the CPU includes a fastening seat surrounding the connector, and a pair of fastening clips. The fastening seat includes four alignment posts at four corners, and the pair of fastening clips are attached at two corresponding diagonal corners.

Abstract: Techniques for passively providing AAA support for an IoT device in a network are disclosed. A set of data packets transmitted by an IoT device is obtained. At least one packet included in the set of data packets is analyzed. A message, including information associated with the IoT device, is transmitted on behalf of the IoT device.

Abstract: Data packets transmitted to and from an IoT device are obtained and at least one of the data packets are analyzed using deep packet inspection to identify transaction data from payload of the at least one of the data packets. An event log is generated for the IoT device from the transaction data, the event log, at least in part, used to generate a historical record for the IoT device. The IoT device is profiled into a device profile based on the historical record for the IoT device. The event log is updated in real-time to indicate current operation of the IoT device. Abnormal device behavior of the IoT device is determined using the event log and the device profile. The device profile is updated to indicate the abnormal device behavior of the IoT device.

Abstract: Lipid-based probes and systems therewith to capture and isolate extracellular vesicles from a sample are disclosed. The system can include a labelling probe-capture probe combination or an immobilized labelling probe on a surface of a substrate or a device including the immobilized labelling probe on a surface of a substrate. The labelling probe can include a lipid tail for insertion in the lipid bilayer membrane of extracellular vesicles. The labelling probe can further include a tag that can be readily combine with a capture probe or a high affinity component to bind to a substrate surface to immobilize the labelling probe, and a spacer between the lipid tail and tag or high affinity component.

Abstract: Techniques for assessing risks of IoT devices. A system utilizing such techniques can include a packet analysis based IoT device risk assessment system and an IoT device risk assessment system. A method utilizing such techniques can include extraction of IoT device risk factors from a device profile of an IoT device and application of assessment weights to the IoT device risk factors to assess a risk level of an IoT device.

Abstract: Kirigami-based optic devices are provided that include a tunable kirigami-based component comprising a plurality of bridge structures and a plurality of openings therebetween to form a grating structure. At least one surface of the kirigami-based component is micropatterned with a plasmonic material so that the grating is configured to induce or modulate rotational polarity of a beam of electromagnetic radiation as it passes through the plurality of openings. In certain aspects, the micropattern may be a gold herringbone pattern. The kirigami-based component has tunable 3D topography, which when stretched, exhibits polarization rotation angles as high as 80° and ellipticity angles as high as 34° due to the topological equivalency of helix.

Abstract: Methods, devices, and apparatus for determining an input voltage of an inverter circuit in a magnetic resonance imaging system are provided. In one aspect, a method includes: determining a maximum inductance voltage value corresponding to a maximum current value of a current sequence according to a relationship between inductance voltage and inductance current of a gradient coil, determining a minimum DC voltage value corresponding to the maximum inductance voltage value according to a relationship between output voltage and input voltage of the inverter circuit, and controlling the input voltage into an input terminal of the inverter circuit to have the minimum DC voltage value when the current sequence is input into a control terminal of the inverter circuit. The inverter circuit is configured to generate an AC voltage based on the input voltage and the current sequence and output the AC voltage to the gradient coil.

Abstract: A method for forming a sensor with increased overhang to prevent passivation stress fractures is provided. Embodiments include forming a first passivation layer over a dielectric layer patterned over a first top metal layer of a logic region of a sensor and a second top metal layer of an array region of the sensor; planarizing the first passivation layer and the dielectric layer to form a level surface above the first top metal layer and the second top metal layer; etching the dielectric layer to form a pad opening in the array region of the sensor based on a predetermined overhang value, the pad opening exposing a portion of the surface of the second top metal layer; and forming a second passivation layer over the level surface and the pad opening in the array region.

Abstract: Techniques for assessing risks of IoT device. A system utilizing such techniques can include a packet analysis based IoT device risk assessment system and an IoT device risk assessment system. A method utilizing such techniques can include extraction of IoT device risk factors from a device profile of an IoT device and application of assessment weights to the IoT device risk factors to assess a risk level of an IoT device.

Abstract: Data packets transmitted to and from an IoT device are obtained and at least one of the data packets are analyzed using deep packet inspection to identify transaction data from payload of the at least one of the data packets. An event log is generated for the IoT device from the transaction data, the event log, at least in part, used to generate a historical record for the IoT device. The IoT device is profiled into a device profile based on the historical record for the IoT device. The event log is updated in real-time to indicate current operation of the IoT device. Abnormal device behavior of the IoT device is determined using the event log and the device profile. The device profile is updated to indicate the abnormal device behavior of the IoT device.

Abstract: Techniques for grouping and labeling Internet of Things (IoT) devices are disclosed. In accordance with an aspect of the invention, there is provided a computer program product configured to be operable to perform the techniques described in this paper to enable grouping and labeling of IoT devices. As devices are grouped and labeled, and behavior is matched to or deviates from known or expected behavior, the network can be more readily understood and alerts can be more timely and appropriate.

Abstract: Data packets transmitted to and from an IoT device are obtained and at least one of the data packets are analyzed using deep packet inspection to identify transaction data from payload of the at least one of the data packets. An event log is generated for the IoT device from the transaction data, the event log, at least in part, used to generate a historical record for the IoT device. The IoT device into a device profile based on the historical record for the IoT device. The event log is updated in real-time to indicate current operation of the IoT device. Abnormal device behavior of the IoT device is determined using the event log and the device profile. The device profile is updated to indicate the abnormal device behavior of the IoT device.

Abstract: A state space controller includes an integral part configured to integrate a control deviation, wherein the control deviation indicates a difference between a digital value of a gradient coil current and a reference current; a delay compensator configured to generate a digital control amount according to the integrated control deviation by the integral part, and generated a pulse-width modulation drive signal according to the digital control amount, and includes a subtractor of which a non-inverting input terminal is connected to an output terminal of the integral part, a delayer configured to delay the digital control amount by one calculation cycle, and a first feedback loop configured to delay the digital control amount by one calculation cycle and multiply a first compensation coefficient to obtain a first compensation amount, wherein the first compensation amount is input into a first inverting input terminal of the subtractor.

Abstract: Methods, devices, and apparatus for determining an input voltage of an inverter circuit in a magnetic resonance imaging system are provided. In one aspect, a method includes: determining a maximum inductance voltage value corresponding to a maximum current value of a current sequence according to a relationship between inductance voltage and inductance current of a gradient coil, determining a minimum DC voltage value corresponding to the maximum inductance voltage value according to a relationship between output voltage and input voltage of the inverter circuit, and controlling the input voltage into an input terminal of the inverter circuit to have the minimum DC voltage value when the current sequence is input into a control terminal of the inverter circuit. The inverter circuit is configured to generate an AC voltage based on the input voltage and the current sequence and output the AC voltage to the gradient coil.

Abstract: Techniques for assessing risks of IoT device. A system utilizing such techniques can include a packet analysis based IoT device risk assessment system and an IoT device risk assessment system. A method utilizing such techniques can include extraction of IoT device risk factors from a device profile of an IoT device and application of assessment weights to the IoT device risk factors to assess a risk level of an IoT device.

Abstract: A formulation of complex carbohydrates for fodder, fodder comprising the same, and application, the fodder comprising of the following ingredients: corn, bean pulp, whey powder, fish meal, soymilk, wheat middling, piglet premix, glucose and a formulation of complex carbohydrates, and the formulation of complex carbohydrates consisting of flucose, galactose, N-acetylgalactosamine, glucosamine, acetylglucosamine, glucuronic acid, mannose, sialic acid and xylose.

Abstract: A data monitoring system detects an anomaly condition of a device having attached sensors. The system builds one or more models to establish normal behaviors of the device by analyzing historical sensor data, and apply the models to target sensor data of the device to compute one or more anomaly scores of the device. The system reports the condition of the device based on an analysis of the anomaly scores. To build the one or more models, the system identifies at least one optimization problem for each of the models; constructs a dynamical system such that stable equilibrium points (SEPs) of the dynamical system have one-to-one correspondence with local optimal solutions of the at least one optimization problem; finds the local optimal solutions by computing the SEPs of the dynamical system; and identifies a global optimal solution to the at least one optimization problem among the local optimal solutions.

Abstract: A formulation of complex carbohydrates for fodder, fodder comprising the same, and application, the fodder comprising of the following ingredients: corn, bean pulp, whey powder, fish meal, soymilk, wheat middling, piglet premix, glucose and a formulation of complex carbohydrates, and the formulation of complex carbohydrates consisting of flucose, galactose, N-acetylgalactosamine, glucosamine, acetylglucosamine, glucuronic acid, mannose, sialic acid and xylose.