Abstract: A photoelectric conversion element having a photoelectric conversion layer formed between a first electrode layer and a second electrode layer, in which the photoelectric conversion layer contains Cu and Ag, which are Group I elements, In and Ga, which are Group III elements, and Se and S, which are Group VI elements. A portion at which a minimum value of a band gap appears in a thickness direction of the photoelectric conversion layer is included in the intermediate region. When a ratio of a mole amount of Ag to a sum of mole amounts of the Group I elements other than Ag, the Group III elements, and the Group VI elements is defined as an Ag concentration, a portion at which a maximum value of the Ag concentration appears in the thickness direction of the photoelectric conversion layer is included in the intermediate region.

Abstract: In an embodiment, an object of the present invention is to provide a double-stranded nucleic acid complex having a novel structure. In an embodiment, the present invention relates to a nucleic acid complex comprising a first nucleic acid strand and a second nucleic acid strand, wherein said first nucleic acid strand: (1) is capable of hybridizing to at least a part of a target transcriptional product; (2) has an antisense effect on the target transcriptional product; and (3) is a gapmer comprising a central region, and a 5? wing region and a 3? wing region, said second nucleic acid strand comprises at least one sugar-unmodified central region (first exposed region) consisting of one sugar-unmodified ribonucleoside or two or three contiguous sugar-unmodified ribonucleosides linked by an internucleoside bond, which is or are complementary to a part of said first nucleic acid strand, and said first nucleic acid strand is annealed to said second nucleic acid strand.

Abstract: A medical image processing apparatus includes: an obtaining unit configured to obtain a first image that is a motion contrast en-face image of an eye to be examined; and an image quality improving unit configured to generate a second image with at least one of lower noise and higher contrast than the obtained first image using the obtained first image as input data that is input into an image quality improving engine, wherein the image quality improving engine includes a machine learning engine that has been obtained by using training data including a second image with at least one of lower noise and higher contrast than a first image that is a motion contrast en-face image of an eye to be examined.

Abstract: In a garnet-type or garnet-like LLZ-based lithium ion-conductive oxide material, a high ion conductivity is realized. Specifically, the lithium ion-conductive oxide material contains each element of Li, La, Zr and O and at least an A element, the A element has a d electron, and is in a cation state where regular octahedral coordination preference in stabilization of an anion of oxygen by a ligand field becomes 50 kJ/mol or more, and a mole ratio A/La of the A element to La is 0.01 or more and 0.45 or less.

Abstract: A membrane treatment apparatus (1) comprising: a plurality of flat membrane elements (2) which are immersed in a liquid to be treated, disposed side by side in the first direction so that membrane surfaces face each other; a supporting member (8) for holding the flat membrane element (2) provided at an end part of the flat membrane element on a first side in the second direction; and an aeration means (10) provided below the flat membrane element (2); wherein a lower edge of the flat membrane element (2) is formed to extend upward from the first side to a second side in the second direction, or to extend upward and horizontally from the first side to the second side in the second direction.

Abstract: A measurement device includes at least one processor that acquires acceleration data indicating a temporal transition of acceleration of a subject when the subject is moving by performing a moving action, detects a target timing that is a timing when the subject performs a target action in accordance with a temporal transition of the acceleration of the subject in a detection target direction, the temporal transition being indicated by the acceleration data, and in accordance with reference data indicating a temporal transition of the acceleration of the subject when the subject performs the target action in the moving action, detects the target timing using a first detection method when the moving action is a first moving action, and detects the target timing using a second detection method different from the first detection method when the moving action is a second moving action different from the first moving action.

Abstract: An audio interval detection apparatus has a processor and a storage storing instructions that, when executed by the processor, control the processor to: detect, from a target audio signal, a specified audio interval including a specified audio signal representing a state of a phoneme of a same consonant produced continuously over a period longer than a specified time, and, by eliminating, from the target audio signal at least the detected specified audio interval, detect from the target audio signal an utterance audio interval that includes a speech utterance signal representing a speech utterance uttered by a speaker.

Abstract: An exercise assisting apparatus includes at least one memory and at least one processor configured to execute a program loaded in the memory. The processor resamples arm-swing trajectory data pieces on a plurality of human subjects with a predetermined number of samples. The processor generates a distance matrix on the basis of the minimum distance between two point groups after association between individual points, the two point groups being selected from among the resampled arm-swing trajectory data pieces. The processor generates clustering data through classification of the values contained in the distance matrix into a certain number of clusters.

Abstract: An audio interval detection apparatus comprising a processor and a storage storing instructions that, when executed by the processor, control the processor to: detect from a target audio signal a specified audio interval including a specified audio signal representing a state of a phoneme of a same consonant produced continuously over a period longer than a specified time, and by eliminating, from the target audio signal at least the detected specified audio interval, detect from the target audio signal an utterance audio interval that includes a speech utterance signal representing a speech utterance uttered by a speaker.

Abstract: A voice processing apparatus includes a first storage unit which stores a known-word, and a processor. The processor executes a voice recognition process of extracting an unknown-word by executing a voice recognition process on an input voice signal, based on a storage content of the first storage unit, and a storage control process of executing storage control to the first storage unit, wherein the storage control process includes a process of storing, when information of a number of unknown-words which are recognized to be identical, among the extracted unknown-words by the voice recognition process, meets a predetermined condition, a corresponding unknown-word in the first storage unit as a known-word.

Abstract: A voice retrieval apparatus executes processes of: converting a retrieval string into a phoneme string; obtaining, from a time length memory, a continuous time length for each phoneme contained in the converted phoneme string; deriving a plurality of time lengths corresponding to a plurality of utterance rates as candidate utterance time lengths of voices corresponding to the retrieval string based on the obtained continuous time length; specifying, for each of the plurality of time lengths, a plurality of likelihood obtainment segments having the derived time length within a time length of a retrieval sound signal; obtaining a likelihood showing a plausibility that the specified likelihood obtainment segment specified is a segment where the voices are uttered; and identifying, based on the obtained likelihood, for each of the specified likelihood obtainment segments, an estimation segment where utterance of the voices is estimated in the retrieval sound signal.

Abstract: A voice retrieval apparatus executes processes of: obtaining, from a time length memory, a continuous time length for each phoneme contained in a phoneme string of a retrieval string; obtaining user-specified information on an utterance rate; changing the continuous time length for each obtained phoneme in accordance with the obtained information; deriving, based on the changed continuous time length, an utterance time length of voices corresponding to the retrieval string; specifying a plurality of likelihood obtainment segments of the derived utterance time length in a time length of a retrieval sound signal; obtaining a likelihood showing a plausibility that the specified likelihood obtainment segment is a segment where the voices are uttered; and identifying, based on the obtained likelihood, an estimation segment where, within the retrieval sound signal, utterance of the voices is estimated, the estimation segment being identified for each specified likelihood obtainment segment.

Abstract: In a voice search device, a processor acquires a search word, converts the search word into a phoneme sequence, acquires, for each frame, an output probability of a feature quantity of a target voice signal being output from each phoneme included in the phoneme sequence, and executes relative calculation of the output probability acquired from each phoneme, based on an output probability acquired from another phoneme included in the phoneme sequence. In addition, the processor successively designates likelihood acquisition zones, acquires a likelihood indicating how likely a designated likelihood acquisition zone is a zone in which voice corresponding to the search word is spoken, and identifies from the target voice signal an estimated zone for which the voice corresponding to the search word is estimated to be spoken, based on the acquired likelihood.

Abstract: A voice retrieval apparatus executes processes of: converting a retrieval string into a phoneme string; obtaining, from a time length memory, a continuous time length for each phoneme contained in the converted phoneme string; deriving a plurality of time lengths corresponding to a plurality of utterance rates as candidate utterance time lengths of voices corresponding to the retrieval string based on the obtained continuous time length; specifying, for each of the plurality of time lengths, a plurality of likelihood obtainment segments having the derived time length within a time length of a retrieval sound signal; obtaining a likelihood showing a plausibility that the specified likelihood obtainment segment specified is a segment where the voices are uttered; and identifying, based on the obtained likelihood, for each of the specified likelihood obtainment segments, an estimation segment where utterance of the voices is estimated in the retrieval sound signal.

Abstract: A voice retrieval apparatus executes processes of: obtaining, from a time length memory, a continuous time length for each phoneme contained in a phoneme string of a retrieval string; obtaining user-specified information on an utterance rate; changing the continuous time length for each obtained phoneme in accordance with the obtained information; deriving, based on the changed continuous time length, an utterance time length of voices corresponding to the retrieval string; specifying a plurality of likelihood obtainment segments of the derived utterance time length in a time length of a retrieval sound signal; obtaining a likelihood showing a plausibility that the specified likelihood obtainment segment is a segment where the voices are uttered; and identifying, based on the obtained likelihood, an estimation segment where, within the retrieval sound signal, utterance of the voices is estimated, the estimation segment being identified for each specified likelihood obtainment segment.

Abstract: A search word acquiring unit acquires a search word. A converting unit converts the search word into a phoneme sequence. An output probability acquiring unit acquires, for each frame, an output probability of a feature quantity of a target voice signal being output from each phoneme included in the phoneme sequence. A relative calculating unit executes relative calculation of the output probability acquired from each phoneme by the output probability acquirer, based on an output probability acquired from another phoneme included in the phoneme sequence. A zone designating unit successively designates a likelihood acquisition zones. A likelihood calculating unit acquires a likelihood indicating how likely a likelihood acquisition zone designated by the zone designator is a zone in which voice corresponding to the search word is spoken.

Abstract: An adjustment drop number setting section 335 sets a number of adjustment drops with which a change in print density in an image occurs remarkably when an ink drop amount of one ink drop is changed for each kind of a print medium (print sheet) input from an operation panel 340 or sets uniformly regardless of the kind of print medium. When a density difference that requires adjustment is recognized visually between images by two neighboring ink heads on a density measurement chart printed by a chart printing execution section 333c, the ink drop amount of one drop in the set number of adjustment drops is adjusted by adjusting a drive voltage of the ink head of a head unit 110 according to an input from the operation panel 340.

Abstract: For color conversion of image data in a L*a*b* color space, a color conversion system includes a color conversion processor to implement a first color conversion for color conversion of data positions of an image data in a reference-color representing first region covering a constant hue line at a prescribed hue angle on an a*b* plane, and a second color conversion for color conversion of data positions of the image data in a second region set outside the first region within an angular range smaller in hue angle than the prescribed hue angle on the a*b* plane, the prescribed hue angle being set up in an angular region of 0 degree or more and 90 degree or less relative to an a* axis, the color conversion processor being adapted to implement mutually different color conversion processes for the first color conversion and the second color conversion.

Abstract: An image data conversion unit includes a halftone processor to generate drop data relating to the number of ink liquid drops from information about the density of each pixel in image data, a data replacer to divide image data into predetermined sized unit areas, calculate a pixel pattern in which the same gradation pixels appear continuously for each unit area in accordance with the density in each unit area, and replace the pixels included in each unit area with a pixel pattern calculated for the unit area, and a mode switcher to select one of standard mode in which drop data is generated by inputting image data to the halftone processor and first data compression mode in which after image data is input to the data replacer and compressed, drop data is generated in the halftone processor and switch the image data processing orders in accordance with the selected mode.

Abstract: An adjustment drop number setting section 335 sets a number of adjustment drops with which a change in print density in an image occurs remarkably when an ink drop amount of one ink drop is changed for each kind of a print medium (print sheet) input from an operation panel 340 or sets uniformly regardless of the kind of print medium. When a density difference that requires adjustment is recognized visually between images by two neighboring ink heads on a density measurement chart printed by a chart printing execution section 333c, the ink drop amount of one drop in the set number of adjustment drops is adjusted by adjusting a drive voltage of the ink head of a head unit 110 according to an input from the operation panel 340.