Abstract: There is provided a method for collecting and reusing an active material from positive electrode scrap. The method of reusing a positive electrode active material of the present disclosure includes (a-1) immersing a positive electrode scrap comprising an active material layer on a current collector into a basic solution to separate the active material layer from the current collector, (a-2) thermally treating the active material layer in air for thermal decomposition of a binder and a conductive material in the active material layer, and collecting an active material in the active material layer, (b) washing the active material collected from the step (a-2) with a lithium compound solution which is basic in an aqueous solution and drying, and (c) annealing the active material washed from the step (b) with a lithium precursor to obtain a reusable active material.

Abstract: There is provided a method for collecting and reusing an active material from positive electrode scrap. The positive electrode active material reuse method of the present disclosure includes (a) thermally treating positive electrode scrap comprising an active material layer on a current collector in air for thermal decomposition of a binder and a conductive material in the active material layer, to separate the current collector from the active material layer, and collecting an active material in the active material layer, (b) washing the collected active material using a lithium precursor aqueous solution which is basic in an aqueous solution and drying, and (c) annealing the washed active material to obtain a reusable active material.

Abstract: There is provided a method for collecting and reusing an active material from positive electrode scrap. The method for reusing a positive electrode active material of the present disclosure includes (a) thermally treating positive electrode scrap comprising an active material layer on a current collector in air for thermal decomposition of a binder and a conductive material in the active material layer, to separate the current collector from the active material layer, and collecting an active material in the active material layer, (b-1) washing the active material collected from the step (a) with a lithium compound solution which is basic in an aqueous solution, (b-2) mixing the active material washed from the step (b-1) with a lithium precursor aqueous solution and spray drying, and (c) annealing the active material spray dried from the step (b-2) to obtain a reusable active material.

Abstract: Provided is a method for preventing, ameliorating, or treating degenerative diseases caused by cellular senescence, preferably osteoarthritis or atherosclerosis, comprising a specific peptide as an active ingredient, where the peptide remarkably inhibits the interaction of p53 and FOXO4 (Forkhead box protein O4), thereby inhibiting the expression of a cellular senescence regulator.

Abstract: The present invention provides a cosmetic composition for inhibiting or improving seborrhea and a pharmaceutical composition for preventing, improving or treating seborrhea, each composition comprising a specific peptide as an active ingredient. The peptide remarkably decreases the interaction between p53 and MDM2 and thus remarkably increases the interaction between p53 and RNA Polymerase II (POLII), thereby being able to induce expressions of the cytokines that cause apoptosis of sebocytes.

Abstract: There is provided a method for collecting and reusing an active material from positive electrode scrap. The positive electrode active material reuse method of the present disclosure includes (a) thermally treating positive electrode scrap comprising a lithium cobalt oxide positive electrode active material layer on a current collector in air for thermal decomposition of a binder and a conductive material in the active material layer, to separate the current collector from the active material layer, and collecting an active material in the active material layer, (b) washing the collected active material with a lithium compound solution which is basic in an aqueous solution and drying, and (c) annealing the washed active material with an addition of a lithium precursor to obtain a reusable active material.

Abstract: There is provided a method for collecting and reusing an active material from positive electrode scrap. The positive electrode active material reuse method of the present disclosure includes (a) thermally treating positive electrode scrap comprising a lithium composite transition metal oxide positive electrode active material layer on a current collector in air at 300 to 650° C. for 1 hour or less for thermal decomposition of a binder and a conductive material in the active material layer, to separate the current collector from the active material layer, and collecting an active material in the active material layer, and (b) annealing the collected active material with an addition of a lithium precursor to obtain a reusable active material.

Abstract: An artificial intelligence (AI) system for simulating functions such as recognition, determination, and so forth of a human brain by using a mechanical learning algorithm such as deep learning, or the like, and an application thereof are provided. A method of filtering video by a device is provided. The method includes selecting at least one previous frame preceding a current frame being played from among a plurality of frames included in the video, generating metadata regarding the selected at least one previous frame, predicting harmfulness of at least one next frame to be displayed on the device after playback of the current frame, based on the generated metadata, and filtering the next frame based on the predicted harmfulness.

Abstract: Provided are a diagnostic model generating apparatus and a diagnostic model generating method therefor. The diagnostic model generating method may comprising: extracting at least one keyword from consultation data between a user and a consultant for resolving electronic device errors; on the basis of the at least one extracted keyword, determining a diagnostic sequence between the plurality of diagnostic commands for resolving errors and a plurality of diagnostic commands; and storing a diagnostic model comprising the plurality of determined diagnostic commands and determined diagnostic sequence.

Abstract: According to the present disclosure, an information managing method of an electronic apparatus for managing transportation of an item from a fulfillment center to another fulfillment center is disclosed, wherein the method includes acquiring transportation request information of items arranged in the fulfillment center, checking a collection priority for each of the items related to the transportation request information based on at least one of the transportation request information and status information of the item arranged in the fulfillment center, and generating collection information based on the checked priority.

Abstract: Disclosed are peptides and a cosmetics composition using the same peptides. The peptides inhibit the activity of an androgen receptor (AR), whereby the peptides may be used to alleviate androgen-related diseases or disorders such as prostate cancer, skin diseases, and alopecia.

Abstract: Disclosed is a peptide and a cosmetic composition using the same. The peptide inhibits the activity of an aryl hydrocarbon receptor (AhR), whereby the peptide may be used to alleviate skin troubles caused by fine dust.

Abstract: A particle with a yolk-shell structure including a shell including carbon; and a care including silicon (Si) provided inside the shell, wherein at least a part of the shell is spaced apart from the core, and the particle with the yolk-shell structure has a micropore volume of 0.15 cm3/g or less, and a method for preparing the same.

Abstract: The present application relates to a cathode for a lithium-sulfur battery and a method of preparing the same. More specifically, the cathode for a lithium-sulfur battery according to an exemplary embodiment of the present application includes: a cathode active part including a sulfur-carbon composite; and a cathode coating layer including an amphiphilic polymer provided on at least one portion of a surface of the cathode active part and including a hydrophilic portion and a hydrophobic portion.

Abstract: An artificial intelligence (AI) system for simulating functions such as recognition, determination, and so forth of a human brain by using a mechanical learning algorithm such as deep learning, or the like, and an application thereof are provided. A method of filtering video by a device is provided. The method includes selecting at least one previous frame preceding a current frame being played from among a plurality of frames included in the video, generating metadata regarding the selected at least one previous frame, predicting harmfulness of at least one next frame to be displayed on the device after playback of the current frame, based on the generated metadata, and filtering the next frame based on the predicted harmfulness.

Abstract: An artificial intelligence (AI) system for simulating functions such as recognition, determination, and so forth of a human brain by using a mechanical learning algorithm such as deep learning, or the like, and an application thereof are provided. A method of filtering video by a device is provided. The method includes selecting at least one previous frame preceding a current frame being played from among a plurality of frames included in the video, generating metadata regarding the selected at least one previous frame, predicting harmfulness of at least one next frame to be displayed on the device after playback of the current frame, based on the generated metadata, and filtering the next frame based on the predicted harmfulness.

Abstract: An artificial intelligence (AI) system for simulating functions such as recognition, determination, and so forth of a human brain by using a mechanical learning algorithm such as deep learning, or the like, and an application thereof are provided. A method of filtering video by a device is provided. The method includes selecting at least one previous frame preceding a current frame being played from among a plurality of frames included in the video, generating metadata regarding the selected at least one previous frame, predicting harmfulness of at least one next frame to be displayed on the device after playback of the current frame, based on the generated metadata, and filtering the next frame based on the predicted harmfulness.

Abstract: An artificial intelligence (AI) system for simulating functions such as recognition, determination, and so forth of a human brain by using a mechanical learning algorithm such as deep learning, or the like, and an application thereof are provided. A method of filtering video by a device is provided. The method includes selecting at least one previous frame preceding a current frame being played from among a plurality of frames included in the video, generating metadata regarding the selected at least one previous frame, predicting harmfulness of at least one next frame to be displayed on the device after playback of the current frame, based on the generated metadata, and filtering the next frame based on the predicted harmfulness.

Abstract: Provided are a diagnostic model generating apparatus and a diagnostic model generating method therefor. The diagnostic model generating method may comprising: extracting at least one keyword from consultation data between a user and a consultant for resolving electronic device errors; on the basis of the at least one extracted keyword, determining a diagnostic sequence between the plurality of diagnostic commands for resolving errors and a plurality of diagnostic commands; and storing a diagnostic model comprising the plurality of determined diagnostic commands and determined diagnostic sequence.