Abstract: An IoT wireless power transfer sensor is provided, which includes a sensor circuit, a group of retrodirective searching antennas, a group of energy harvesting antennas and a communication antenna. The sensor circuit includes a switching unit, an energy converting unit, a power management unit and an energy converting and storage unit. The searching antennas are connected to the switching unit. When the switching unit is on, the searching antennas don't harvest the energy of an external device's scanning signal; they reflect the incident energy to the external device. The energy harvesting antenna is connected to the energy converting unit and receives the incident energy to charge the energy converting and storage unit. When the power storage level of the energy converting and storage unit reaches a first threshold value, the switching unit is consecutively switched between on and off to transmit a device information in back-scattered way to the external device.

Abstract: A smart hub is provided, which includes a control circuit and an antenna array (the functions thereof include transmitting/receiving scanning signals and transmitting wireless power transfer signals). The antenna array is connected to the control circuit and transmits a scanning signal to scan within an effective scanning range thereof. When the antenna array receives the reflected signal of the scanning signal, the control circuit controls the antenna array to keep transmitting a wireless power transfer signal, within a predetermined time interval, in the direction of receiving the reflected signal, and simultaneously receives the device information from a sensor which may exist via the antenna array within the predetermined time interval. The device information is generated by the sensor by backscattering.

Abstract: A method for decolorization and deodorization of egg yolk oil comprises at least: adding a first ether solution to a crude egg yolk oil, and performing a first stirring process, to produce a first egg yolk oil mixture; adding activated carbon to the first egg yolk oil mixture, performing a second stirring process, and removing the activated carbon, to produce a second egg yolk oil mixture; adding a second ether solution and distilled water to the second egg yolk oil mixture, and performing a third stirring process, to produce a third egg yolk oil mixture; and removing distilled water, part of the first ether solution, and part of the second ether solution from the third egg yolk oil mixture by a distillation process, and removing the remaining first ether solution and the remaining second ether solution by a vacuum process to produce a decolorized and deodorized egg yolk oil.

Abstract: A reinforcement learning system is provided, including at least one agent and a server. According to a set condition, the at least one agent transmits a plurality of state sets related to a state of the environment through a network, receives a plurality of action sets for performing an action, and transmits, to the server, a plurality of feedback messages generated after interacting with the environment. The server configures a predetermined ratio of the memory space as at least one workstation according to the set condition, and selects an untrained model to be temporarily stored in the at least one workstation. The at least one workstation imports a current state set, a current action set, and a current feedback message, as parameters, into the untrained model for reinforcement learning, and generates a next action set until a goal is achieved.

Abstract: Provided is a microfluidic PDMS face mask, including a face mask body having a plurality of bores mounted on a surface thereof, a microfluidic block array including a plurality of microfluidic blocks being arranged in arrays and received in the bores, each of the microfluidic block includes a microfluidic module for allowing a fluid to flow therethrough, thereby capturing microparticles, and a strap having one end attached to a left side of the face mask body and the other end attached to a right side of the face mask body for adhering the face mask body to the face of a user.

Abstract: A manufacturing method for a micro-needle device includes following steps: a target tissue basic information obtaining step, a micro-needle template obtaining step, a micro-needle material adding step, a micro-needle semi-product obtaining step, and a micro-needle device obtaining step. The inner tissue distribution information is obtained by the application of optical coherence tomography. The micro-needle template is obtained according to the skin surface curvature information and the inner tissue distribution information. The micro-needle template has a plurality of areas and a plurality of mold holes. One or both of the diameter and the depth of the mold hole is determined by the inner tissue distribution information, and the curvature radius of the areas is determined by the skin surface curvature information. The manufacturing method for a micro-needle device is applicable to micro-needles with mixed configurations as well as micro-needles with syringe configurations.

Abstract: A detection substrate includes a substrate, a wetting layer, a barrier layer, a reaction layer, a counter electrode layer, a reference electrode layer, an insulating frame, and a plurality of wirings. The substrate includes a counter electrode, a working electrode, and a reference electrode. The reaction layer is located on the barrier layer. A surface of the reaction layer has a naturally micro-etched nano pattern. The counter electrode layer has an accommodating area which accommodates the reaction layer, and the naturally micro-etched nano pattern is exposed from the accommodating area. The insulating frame is located on a measurement area. The detection substrate has electrodes. During use, a predetermined reaction potential is applied to the detection substrate by an electrochemical device, and a Raman spectroscopy analysis is performed to obtain a strengthened Raman spectroscopy signal. A Raman spectrum detection system and a Raman spectrum detection method are also provided.

Abstract: An animal specimen picking device and system are provided. The animal specimen picking device includes a collecting device and a driving device. The collecting device includes at least one opening through which an animal specimen is collected. The driving device drives the collecting device to move on a collecting surface. The animal specimen is on the collecting surface. The driving device includes a spherical shell, a controller, and a driving module. The controller is located in the spherical shell and configured to generate a control signal. The driving module is located in the spherical shell and configured to drive the spherical shell to roll according to the control signal.

Abstract: A machine learning method is provided, including: obtaining training data, where the training data includes a training feature, training labels, and a training weight; inputting the training data to a first machine learning model, where the first machine learning model has first model data, the first model data includes a first model feature, first model labels, and first model weights, and the first model labels correspond to the first model weights in a one-to-one manner; and training the first machine learning model by using a training step to obtain a second machine learning model. The training step includes: when the first model feature matches the training feature, and one of the first model labels is the same as any of the training labels, adjusting the first model weight corresponding to the first model label that is the same as any of the training labels according to the training weight.

Abstract: A work log posting system includes a project database, a meeting record analysis module, a project classification module, and a work log module. The project database stores a plurality of keyword sets, each corresponding to a project. The meeting record analysis module analyzes a meeting record including a statement content, an attendance list, and a meeting period, to extract a plurality of terms from the statement content of the meeting record. The project classification module classifies the meeting record to one of the projects according to the relevance between the terms in the statement content and each keyword set. The work log module counts, according to the classification result of the meeting record, the meeting period attended by each person on the attendance list and the project to which the meeting period belongs, so as to preload the statistical result into a work log.

Abstract: An antenna module includes an antenna and a periodic structure. The periodic structure is disposed on one side of the antenna, and includes a plural first pillars, a plural first bridge members, and a plural second pillars. The plural first pillars are arranged at intervals along a one-dimensional array. The plural first bridge members are arranged at intervals along the one-dimensional array, and are connected to a side of the plural first pillars away from the antenna, wherein the plural first bridge members define a second virtual layer. The plural of second pillars are arranged at intervals in parallel with the first pillars and are connected to a side of the plural first bridge members away from the antenna. Each of the second pillars each of and the first pillars adjacent thereto have an offset from each other in the direction perpendicular to the second virtual layer.

Abstract: An electronic device is provided, which may include a biometric module, a processing module and a light transmission module. The biometric module may recognize a biological feature, and convert the biological feature into a biological feature signal via an analysis algorithm. The processing module may encrypt an international mobile equipment identity number of the electronic device and the biological feature signal to generate an encrypted signal, and convert the encrypted signal into a visible light signal. The light transmission module may transmit the visible light signal to a controlled device.

Abstract: A method for manufacturing a porous membrane includes: mixing silicon carbide powders and a coagulant to form a first mixture; adding a sintering aid to the first mixture to form a second mixture; compressing the second mixture; and sintering the compressed second mixture. More particularly, the coagulant is in an amount of 1% to 3% by weight of the silicon carbide powders and the sintering aid is in an amount of 10% by weight of the first mixture.

Abstract: A liquid crystal composition includes a nematic liquid crystal, and a compound of Formula (I) where R is an alkyl, aryl, aralkyl or heteroaryl having 6 to 30 carbon atoms, wherein the compound accounts for 0.3 to 0.6% of the liquid crystal composition. Further, a sensing device includes a substrate, a frame, an alignment film, the liquid crystal composition as described above, and two polarizers. The frame is connected to the substrate and forms an accommodation space having an opening, and the alignment film and the liquid crystal composition are both located inside the accommodation space. One of the polarizers is arranged in correspondence with the opening such that a channel exists between the polarizer and the frame, the other polarizer is located at a lateral side of the substrate, and the polarization directions of the two polarizers intersect with each other.

Abstract: A preparation method of tetraboronic acid compounds includes mixing aldehydes with amines and dissolving them in a solvent to obtain a first solution, stirring the first solution, adding carboxylic acid and isocyanide to obtain a second solution, heating the second solution to obtain a first product, extracting and purifying the first product to obtain tetraboronate ester compounds, and executing a deprotection reaction on the tetraboronate ester compounds under heating by microwave to obtain a second product. The second product contains tetraboronic acid compounds, and the tetraboronic acid compounds have the structure as shown in formula (I).

Abstract: A physiological information collecting system and a transceiver device thereof are configured to collect physiological information from animal bodies. The transceiver device includes a front-end circuit, a follower circuit, a quadrature delay line and an output circuit. The front-end circuit separates a discontinuous signal into an in-phase signal and a quadrature signal. The follower circuit outputs a control voltage and rotates the in-phase signal by a predetermined phase angle to output a follower signal. The quadrature delay line rotates the quadrature signal by a corresponding phase angle according to the control voltage. The output circuit synthesizes the follower signal and the quadrature signal and outputs a data signal by demodulating the discontinuous signal.

Abstract: The present invention provides a block-based principal component analysis transformation method and a device thereof. The principal component analysis transformation method includes: obtaining an input signal; dividing the input signal and obtaining a plurality of one-dimension vectors corresponding to the divided input signal, wherein a number of the one-dimension vectors is a division number; after arranging the one-dimension vectors to a two-dimension vector, subtracting an average value of the one-dimension vectors of the division number to obtain a zero-mean vector; calculating a covariance matrix of the zero-mean vector; calculating an eigenvector of the covariance matrix; multiplying the zero-mean vector by the eigenvector to obtain a projection coefficient.

Abstract: An indoor air quality control system, including a plurality of fixed detectors, an unmanned vehicle platform and a cloud computing platform. The fixed detectors detect the indoor air quality at respective designated positions in an indoor area. The unmanned vehicle platform moves along a designated route in the indoor area. When an index corresponding to the indoor air quality at a designated position reaches an air pollution warning value, a processing unit of the unmanned vehicle platform controls the unmanned vehicle platform to move towards a corresponding one of the designated positions and controls an air cleaning device on the unmanned vehicle platform to perform air cleaning. The cloud computing platform receives the indoor air quality detected by the respective fixed detectors and the mobile air quality detected by a mobile detector on the unmanned vehicle platform over the Internet.

Abstract: A detection device includes a rectangular tube, an alignment film, a probe, and a nematic liquid crystal (LC). The rectangular tube has a tube wall and a receiving space located inside the tube wall. The tube wall has one or more light-transmittable region. The alignment film is located on the tube wall and corresponds to the light-transmittable region. The probe is distributed on the alignment film. The nematic LC is located in the receiving space. The probe includes an antibody, an antigen, or both the antibody and the antigen. Furthermore, a detection system is also provided.

Abstract: A micro-needle device is applicable for a target tissue with a first area having a first parameter and a second area having a second parameter. The micro-needle device includes a substrate and a micro-needle array connected to the substrate. The micro-needle array includes a first micro-needle corresponding to the first area and a second micro-needle corresponding to the second area. One of the surfaces of the substrate having the micro-needle array corresponds to the surface curvature of the target tissue. The first micro-needle has a first configuration corresponding to the first parameter, and the second micro-needle has a second configuration corresponding to the second parameter and different from the first configuration. The configuration includes at least one selected from a group consisting of length, distribution density, diameter, and medicine-carrying amount of micro-needle. A method for manufacturing a micro-needle device and a method for manufacturing a micro-needle mold are also provided.