Abstract: A monitoring equipment, a monitoring system and a monitoring method. The monitoring equipment includes a measurement unit that acquires monitoring parameters and a control unit connected with the measurement unit to determine current stage-of-labor progress based on types of acquired monitoring parameters, to thereby determine a monitoring object that includes a mother and a fetus and/or a newborn. A display unit is connected with the control unit to display corresponding monitoring parameters in areas corresponding to each monitoring object on a monitoring interface. The monitoring interface includes one or a plurality of a mother monitoring area, a fetus monitoring area and a newborn monitoring area. The measurement unit is provided in the monitoring equipment. The control unit determines the current stage-of-labor progress to determine a monitoring object.

Abstract: A temperature-aware task scheduling method, system, and computer program product for facilitating a task in a multi-graphical processing unit (GPU) environment, includes executing the task to a GPU in the multi-GPU environment based on a thermal characteristic of the GPU as compared to the other GPUs in the multi-GPU environment.

Abstract: The present disclosure discloses a self-packing three-arm thermal scanning probe for micro-nano manufacturing, comprising: a three-arm cantilever beam, metal contact pads, a nichrome heating electrode for printing, a nichrome heating electrode for transportation, and a polymer storage area. The present disclosure is manufactured by conventional micro-nano machining processes such as lithography and wet etching. In the present disclosure, a gradient density design of heating electrodes is used to generated continuous change of temperature gradients, thus realizing continuous transportation of a printing material from a storage area to a tip area, which realizes self-packing.

Abstract: One or more embodiments include antimicrobial bandages with nanostructures, formation thereof, and usage thereof to facilitate wound healing. In one embodiment, a bandage apparatus that facilitates healing a wound is provided. The bandage apparatus includes a substrate having an attachment mechanism that facilitates removably attaching the substrate to a part of a body having the wound. The bandage apparatus also includes a nanostructure film provided on a surface of the substrate and configured to contact the wound when the substrate is attached to the part of the body having the wound, wherein the nanostructure film includes a plurality of nanostructures.

Abstract: The present disclosure discloses a self-packing three-arm thermal scanning probe for micro-nano manufacturing, comprising: a three-arm cantilever beam, metal contact pads, a nichrome heating electrode for printing, a nichrome heating electrode for transportation, and a polymer storage area. The present disclosure is manufactured by conventional micro-nano machining processes such as lithography and wet etching. In the present disclosure, a gradient density design of heating electrodes is used to generated continuous change of temperature gradients, thus realizing continuous transportation of a printing material from a storage area to a tip area, which realizes self-packing.

Abstract: A training method for video stabilization and an image processing device using the same are proposed. The method includes the following steps. An input video including low dynamic range (LDR) images is received. The LDR images are converted to high dynamic range (HDR) images by using a first neural network. A feature extraction process is performed to obtain features based on the LDR images and the HDR images. A second neural network for video stabilization is trained according to the LDR images and the HDR images based on a loss function by minimizing a loss value of the loss function to generate stabilized HDR images in a time-dependent manner, where the loss value of the loss function depends upon the features. An HDR classifier is constructed according to the LDR images and the HDR images. The stabilized HDR images are classified by using the HDR classifier to generate a reward value, where the loss value of the loss function further depends upon the reward value.

Abstract: A temperature-aware task scheduling method, system, and computer program product for facilitating a task in a multi-graphical processing unit (GPU) environment, includes executing the task to a GPU in the multi-GPU environment based on a thermal characteristic of the GPU as compared to the other GPUs in the multi-GPU environment.

Abstract: A temperature-aware task scheduling method, system, and computer program product, includes learning a condition to accept a task to the GPU based on a prior execution of the task on the GPU according to a varying thermal characteristic of the GPU.

Abstract: Techniques relate to forming a sorting device. A mesh is formed on top of a substrate. Metal assisted chemical etching is performed to remove substrate material of the substrate at locations of the mesh. Pillars are formed in the substrate by removal of the substrate material. The mesh is removed to leave the pillars in a nanopillar array. The pillars in the nanopillar array are designed with a spacing to sort particles of different sizes such that the particles at or above a predetermined dimension are sorted in a first direction and the particles below the predetermined dimension are sorted in a second direction.

Abstract: A training method for video stabilization and an image processing device using the same are proposed. The method includes the following steps. An input video including low dynamic range (LDR) images is received. The LDR images are converted to high dynamic range (HDR) images by using a first neural network. A feature extraction process is performed to obtain features based on the LDR images and the HDR images. A second neural network for video stabilization is trained according to the LDR images and the HDR images based on a loss function by minimizing a loss value of the loss function to generate stabilized HDR images in a time-dependent manner, where the loss value of the loss function depends upon the features. An HDR classifier is constructed according to the LDR images and the HDR images. The stabilized HDR images are classified by using the HDR classifier to generate a reward value, where the loss value of the loss function further depends upon the reward value.

Abstract: A training method for video stabilization and an image processing device using the same are proposed. The method includes the following steps. An input video including low dynamic range (LDR) images is received. The LDR images are converted to high dynamic range (HDR) images by using a first neural network. A second neural network for video stabilization is trained to generate stabilized HDR images in a time-dependent manner.

Abstract: A technique relates to a machine for sorting. A removable cartridge includes a nanofluidic module. The removable cartridge includes an input port and at least two output ports. The nanofluidic module is configured to sort particles in a sample fluid. A holder is configured to receive the removable cartridge. A pressurization system is configured to couple to the input port of the removable cartridge. The pressurization system is configured to drive the sample fluid into the nanofluidic module for separation to the at least two output ports.

Abstract: A method is presented for forming a nanowire electrode. The method includes forming a plurality of nanowires over a first substrate, depositing a conducting layer over the plurality of nanowires, forming solder bumps and electrical interconnections over a second flexible substrate, and integrating nanowire electrode arrays to the second flexible substrate. The plurality of nanowires are silicon (Si) nanowires, the Si nanowires used as probes to penetrate skin of a subject to achieve electrical biopotential signals. The plurality of nanowires are formed over the first substrate by metal-assisted chemical etching.

Abstract: A method of fabricating ultra-thin chips is provided. The method includes patterning circuit elements onto a substrate such that sections of the substrate are exposed and etching trenches into the sections of the substrate to define pedestals respectively associated with a corresponding circuit element. The method further includes depositing stressor layer material onto the circuit elements and applying handling tape to the stressor layer material. In addition, the method includes at least one of weakening the substrate in a plane defined by base corners of the pedestals and initiating substrate cracking at the base corners of the pedestals to encourage spalling of the pedestals off the substrate.

Abstract: A training method for video stabilization and an image processing device using the same are proposed. The method includes the following steps. An input video including low dynamic range (LDR) images is received. The LDR images are converted to high dynamic range (HDR) images by using a first neural network. A second neural network for video stabilization is trained to generate stabilized HDR images in a time-dependent manner.

Abstract: The method comprises contacting a silicon substrate with a silver salt and an acid for a time effective to produce spikes having a first end disposed on the silicon substrate and a second end extending away from the silicon substrate. The spikes have a second end diameter of about 10 nm to about 200 nm, a height of about 100 nm to 10 micrometers, and a density of about 10 to 100 per square microns. The nanostructures provide antimicrobial properties and can be transferred to the surface of various materials such as polymers.

Abstract: Using a set of airflow sensors disposed on an airfoil of an aircraft, first airflow data including an amount of airflow experienced at each airflow sensor at a first time is measured. Using a trained neural network model, the first airflow data is analyzed to determine an airflow state of the aircraft. In response to determining that the aircraft is in the abnormal airflow state, a control surface and a power unit of the aircraft are adjusted. Responsive to the adjusting, the aircraft is returned to the normal airflow state.

Abstract: Aspects include methods of fabricating antibacterial surfaces for medical implant devices including patterning a photoresist layer on a silicon substrate and etching the silicon to generate a plurality of nanopillars. Aspects also include removing the photoresist layer from the structure and coating the plurality of nanopillars with a biocompatible film. Aspects also include a system for preventing bacterial infection associated with medical implants including a thin silicon film including a plurality of nanopillars.

Abstract: A temperature-aware task scheduling method, system, and computer program product, includes learning a condition to accept a task to the GPU based on a prior execution of the task on the GPU according to a varying thermal characteristic of the GPU.

Abstract: A method is presented for forming a nanowire electrode. The method includes forming a plurality of nanowires over a first substrate, depositing a conducting layer over the plurality of nanowires, forming solder bumps and electrical interconnections over a second flexible substrate, and integrating nanowire electrode arrays to the second flexible substrate. The plurality of nanowires are silicon (Si) nanowires, the Si nanowires used as probes to penetrate skin of a subject to achieve electrical biopotential signals. The plurality of nanowires are formed over the first substrate by metal-assisted chemical etching.