A method for fabrication of a micromechanical part made of a one-piece synthetic carbon allotrope based material, the method including: forming a substrate with a negative cavity of the micromechanical part to be fabricated; coating the negative cavity of the substrate with a layer of the synthetic carbon allotrope based material in a smaller thickness than the depth of the negative cavity; and removing the substrate to release the one-piece micromechanical part formed in the negative cavity.

A method for fabrication of a micromechanical part made of a one-piece synthetic carbon allotrope based material, the method including: forming a substrate with a negative cavity of the micromechanical part to be fabricated; coating the negative cavity of the substrate with a layer of the synthetic carbon allotrope based material in a smaller thickness than the depth of the negative cavity; and removing the substrate to release the one-piece micromechanical part formed in the negative cavity.

An approach is provided in which an information handling system configures a reinforcement learning model based inspiration selections received from a user. The information handling system performs training iterations using the configured reinforcement learning model, which generates multiple actions and multiple rewards corresponding to multiple actions. The information handling system determines that the multiple rewards reach an empirical threshold and, in turn, generates a musical composition based on the multiple actions.

An input support method is provided for use in an input support apparatus that supports input of a music note. The method includes: controlling a display unit to display a pitch-time plane that includes a pitch-axis and a time-axis, a chord sequence that is associated with the time-axis of the pitch-time plane, and a pointer that indicates a position on the time-axis along the chord sequence; identifying constituent music notes that form a chord corresponding to a display position of the pointer along the chord sequence; and controlling the display unit to display areas on the pitch-time plane, each displayed area indicating a corresponding one of the identified constituent music notes, differently from other areas on the pitch-time plane.

A wristwatch with a gear train for rotatably advancing in cyclic steps a minute-units disk, a switching device for advancing a minute-tens disk and an hour ring which is advanced during one revolution of the minute-tens disk. The movement comprises a first and a second transmission chain connected to a release mechanism; the first transmission chain controls the second such that the second transmission chain transmits every minute a rotational movement force to a minute-units wheel. The release mechanism comprises a control disk, two release levers, each having a first and a second lever arm, and a release wheel. After each minute, a first lever arm falls from the control disk edge into a recess of the control disk and a second lever arm releases the release wheel, such that the second transmission chain rotates freely, allowing the minute-units disk to rotate one digit further.

A wristwatch with a gear train for rotatably advancing in cyclic steps a minute-units disk, a switching device for advancing a minute-tens disk and an hour ring which is advanced during one revolution of the minute-tens disk. The movement comprises a first and a second transmission chain connected to a release mechanism; the first transmission chain controls the second such that the second transmission chain transmits every minute a rotational movement force to a minute-units wheel. The release mechanism comprises a control disk, two release levers, each having a first and a second lever arm, and a release wheel. After each minute, a first lever arm falls from the control disk edge into a recess of the control disk and a second lever arm releases the release wheel, such that the second transmission chain rotates freely, allowing the minute-units disk to rotate one digit further.

Embodiments of the present disclosure can provide systems, methods, and computer-readable medium for implementing user interfaces and user interface elements for interacting with a virtual instrument. For example, a user interface for a virtual instrument may be presented on a display of a device. The user interface may have any suitable number of strings having a first spacing. Each string may correspond to an associated audio file. User mode input may be received at the user interface. In response to receiving the user mode input, a user interface element (e.g., a corresponding enhanced selection area) may be presented. The presented user interface element may include a subset of the plurality of strings and may have a second spacing that is greater than the first spacing. By utilizing the user interface element, a user is enabled to make more accurate input than conventional techniques allow.

Embodiments of the present invention relate to automatically identifying structures of a music stream. A segment structure may be generated that visually indicates repeating segments of a music stream. To generate a segment structure, a feature that corresponds to a music attribute from a waveform corresponding to the music stream is extracted from a waveform, such as an input signal. Utilizing a signal segmentation algorithm, such as a Variable Markov Oracle (VMO) algorithm, a symbolized signal, such as a VMO structure, is generated. From the symbolized signal, a matrix is generated. The matrix may be, for instance, a VMO-SSM. A segment structure is then generated from the matrix. The segment structure illustrates a segmentation of the music stream and the segments that are repetitive.

A method of making audio music selection and creating a mixtape, comprising importing song files from a song repository; sorting and filtering the song files based on selection criteria; and creating the mixtape from the song files sorting and filtering results. The sorting and filtering of the song files comprise: spectral analyzing each of the song files to extract low level acoustic feature parameters of the song file; from the low level acoustic feature parameter values, determining the high level acoustic feature parameters of the analyzed song file; determining a similarity score of each of the analyzed song files by comparing the acoustic feature parameter values of the analyzed song file against desired acoustic feature parameter values determined from the selection criteria; and sorting the analyzed song files according to their similarity scores; and filtering out the analyzed song files with first similarity scores lower than a filter threshold.

Music data memory includes pieces of music within a group and other pieces of music outside the group. The next piece to be played is automatically determined by random table among pieces within the group. Favorite or newest piece is weighted to be more frequently played in the group. Piece in music data memory is automatically included into the group by random table. Newly downloaded piece into music data memory is included into the group by priority. Most frequently played piece is excluded from the group in place of newly included piece. Favorite or newest piece may be an exception of exclusion. Next piece is capable of being played in tempo similar to that of preceding piece by means of tempo-adjusted or piece replacement or repetition of the same piece for the purpose of continued baby cradling in synchronism with the same tempo of succeeding pieces.