Abstract: In one example, an electronic device comprises a substrate comprising a conductive structure and an inner side and an outer side, a first electronic component over the inner side of the substrate and coupled with the conductive structure, a lid over the substrate and the first electronic component and comprising a first hole in the lid, and a thermal interface material between the first electronic component and the lid. The thermal interface material is in the first hole. Other examples and related methods are also disclosed herein.

Abstract: An apparatus and method for processing a substrate can reduce the concentration of process by-products in a chemical solution.

Abstract: A positive electrode active material, a method of preparing the same, and a positive electrode and lithium secondary battery including the same are disclosed herein. In some embodiments, a positive electrode active material includes a lithium transition metal oxide which contains 60 mol % or more of nickel based on a total number of moles of transition metals excluding lithium in the lithium transition metal oxide, wherein the oxide is in a form of a secondary particle which is an aggregate of primary particles, wherein the lithium transition metal oxide satisfies Equation 1: 1 ? x y ? 20 Wherein x is a minimum area of a rectangle including all pores having an area greater than 0.002 ?m2 among closed pores distributed in the secondary particle, and y is a total sum of areas of the pores having an area greater than 0.002 ?m2 among the closed pores distributed in the secondary particle.

Abstract: A free motion headform (FMH) impact performance prediction device using artificial intelligence includes a data processing processor configured to generate an image by extracting a pre-processed test target image, generated by pre-processing test target design data, using a pre-trained model and generate a pre-processed test target distance value by pre-processing the test target design data. The FMH input performance prediction device also includes a machine learning processor configured to concatenate the image generated by extraction on the basis of the pre-trained model and the pre-processed test target distance value and to predict impact performance using a neural network in which parameters are updated by learning based on an image obtained by pre-processing existing design data and existing impact amount data corresponding to the existing design data. The FMH input performance prediction device further includes an output processor configured to output a value learned by the machine learning processor.

Abstract: Disclosed are novel compounds of Chemical Formula 1, optical isomers of the compounds, and pharmaceutically acceptable salts of the compounds or the optical isomers. The compounds, isomers, and salts exhibit excellent activity as GLP-1 receptor agonists. In particular, they, as GLP-1 receptor agonists, exhibit excellent glucose tolerance, thus having a great potential to be used as therapeutic agents for metabolic diseases. Moreover, they exhibit excellent pharmacological safety for cardiovascular systems.

Abstract: The present application relates to an anticoccidial composition comprising ginkgo leaves and use thereof. The composition comprising ginkgo leaves, according to an embodiment, has excellent effects of directly killing sporozoites that can induce coccidiosis, inhibiting the penetration of the sporozoites into cells, and/or inhibiting the proliferation of the sporozoites in cells, and has excellent effects of preventing, ameliorating and treating coccidiosis in vivo.

Abstract: The present application relates to an anti-coccidial composition comprising mangosteen, and the uses thereof. The composition comprising mangosteen according to an example has excellent effect of directly killing protozoa which can induce coccidiosis, effect of inhibiting cell penetration by protozoa and/or effect of inhibiting intracellular protozoan proliferation, and has excellent in vivo coccidiosis prevention, relief and therapeutic effects.

Abstract: The present application relates to an anticoccidial composition comprising a stilbene-based compound, and a use thereof. A composition comprising a compound or a salt thereof, according to one embodiment, has excellent effects of direct killing of protozoa that can induce coccidiosis, inhibiting the cell penetration of the protozoa and/or inhibiting the intracellular proliferation of the protozoa, and preventing, alleviating, and treating in vivo coccidiosis.

Abstract: The present application relates to: an anticoccidial composition comprising violacein, a violacein derivative and/or a salt thereof; and a use thereof. A composition comprising violacein, according to one embodiment, has excellent effects of direct killing of protozoa that can induce coccidiosis, inhibiting the cell penetration of the protozoa and/or inhibiting the intracellular proliferation of the protozoa, and preventing, alleviating, and treating in vivo coccidiosis.

Abstract: Methods and apparatuses for accurately determining a model, which is to be the basis of transfer learning, among a plurality of source models, are provided. According to an embodiment, an apparatus for determining a base model to be used for transfer learning to a target domain is provided. The apparatus comprises a memory which comprises one or more instructions and a processor which executes the instructions to construct a neural network model for measuring suitability of a plurality of pre-trained source models, measure the suitability of each of the source models by inputting data of the target domain to the neural network model, and determine the base model to be used for the transfer learning among the source models based on the suitability.

Abstract: The present invention relates to a feed additive comprising a Bacillus subtilis strain and a Bacillus licheniformis strain, a feed composition comprising the feed additive, and a method for producing the feed additive.

Abstract: Provided are a Bacillus subtilis CJBS303 strain and use thereof. Also, provided are a strain having an effect of reducing livestock manure-derived odors, a composition and a microbial preparation, each including the strain, and a feed composition including the composition.

Abstract: The present invention relates to a perovskite optoelectronic device and a manufacturing method therefor. The present invention allows manufacture of a perovskite optoelectronic device with high efficiency at a low cost, as well as improving the electrical conductivity of a carbon nanotube electrode, by laying graphene oxide over conventional carbon nanotubes and may also be applied to a flexible device.

Abstract: An apparatus for encoding matrix data according to an embodiment includes an initial encoding layer that outputs a plurality of encoded row vectors and a plurality of encoded column vectors for one or more pieces of matrix data representing information on a relationship between items having a plurality of characteristics based on the matrix data, a plurality of initial row vectors corresponding to the number of rows of the matrix data, and a plurality of initial column vectors corresponding to the number of columns of the matrix data, and one or more encoding layers that are disposed after the initial encoding layer and perform additional encoding on the plurality of encoded row vectors and the plurality of encoded column vectors.

Abstract: The present invention relates to a feed additive comprising a Bacillus subtilis strain and a Bacillus licheniformis strain, a feed composition comprising the feed additive, and a method for producing the feed additive.

Abstract: Methods and apparatuses for accurately determining a model, which is to be the basis of transfer learning, among a plurality of source models, are provided. According to an embodiment, an apparatus for determining a base model to be used for transfer learning to a target domain is provided. The apparatus comprises a memory which comprises one or more instructions and a processor which executes the instructions to construct a neural network model for measuring suitability of a plurality of pre-trained source models, measure the suitability of each of the source models by inputting data of the target domain to the neural network model, and determine the base model to be used for the transfer learning among the source models based on the suitability.

Abstract: The present disclosure relates to a feed additive composition for reducing methane production generated in the ruminant stomach of ruminant animals. Specifically, the present disclosure relates to a feed additive composition for reducing methane production comprising at least one selected from the group consisting of alliin and berberine, more specifically to a feed additive composition for reducing methane production comprising at least one selected from the group consisting of diallyl disulfide (DADS), nitrate, and eucalyptus oil. The feed additive composition according to the present disclosure may be added to the feed without additional treatment, thereby reducing the amount of methane production in the ruminant stomach without negative effects on livestock productivity. Thus, the feed additive composition can be effectively used in the ruminant animal industry.

Abstract: The present invention relates to a feed additive comprising a Bacillus subtilis strain and a Bacillus licheniformis strain, a feed composition comprising the feed additive, and a method for producing the feed additive.

Abstract: The present disclosure relates to a feed additive composition for reducing methane production generated in the ruminant stomach of ruminant animals. Specifically, the present disclosure relates to a feed additive composition for reducing methane production comprising at least one selected from the group consisting of alliin and berberine, more specifically to a feed additive composition for reducing methane production comprising at least one selected from the group consisting of diallyl disulfide (DADS), nitrate, and eucalyptus oil. The feed additive composition according to the present disclosure may be added to the feed without additional treatment, thereby reducing the amount of methane production in the ruminant stomach without negative effects on livestock productivity. Thus, the feed additive composition can be effectively used in the ruminant animal industry.

Abstract: Provided are a terminal and a system and method for monitoring a wireless network. The system for monitoring a wireless network includes: a first terminal including: a packet gap model (PGM) transmission unit for transmitting a plurality of measurement packets at a previously calculated transmission time interval; and a channel quality indicator (CQI) unit for acquiring information regarding channel quality of a wireless communication channel to measure an assured maximum increment of speed of the network; a second terminal including a PGM reception unit for receiving the measurement packets and measuring a non-assured maximum possible speed of the network from a reception time interval of the received measurement packets; and a wireless access point connected with the first terminal through the wireless communication channel.