Abstract: A fabric feature predicting method includes following operations: measuring multiple first fabrics to generate multiple first fabric actual feature value groups; storing the first fabric actual feature value groups and multiple first fabric information groups of the first fabrics; selecting multiple third fabrics from the first fabrics according to a second fabric information group of a second fabric; generating at least one equation according to multiple third fabric actual feature value groups of the third fabrics and multiple third fabric information groups of the third fabrics; generating a second fabric predicted feature value group of the second fabric according to the at least one equation and the second fabric information group. The first fabric actual feature value groups include the third fabric actual feature value groups. The first fabric information groups include the third fabric information groups.

Abstract: A semiconductor device package includes a supporting element, a transparent plate disposed on the supporting element, a semiconductor device disposed under the transparent plate, and a lid surrounding the transparent plate. The supporting element and the transparent plate define a channel.

Abstract: A p-aminobenzoic acid-producing microorganism is provided. The p-aminobenzoic acid-producing microorganism is obtained by a method for preparing a p-aminobenzoic acid-producing microorganism. The method for preparing a p-aminobenzoic acid-producing microorganism includes (a) performing an acclimation process on a source microorganism with at least one sulfonamide antibiotic to obtain at least one acclimatized microorganism and (b) screening out at least one p-aminobenzoic acid-producing microorganism from the at least one acclimatized microorganism, wherein the at least one p-aminobenzoic acid-producing microorganism has a higher p-aminobenzoic acid titer than the source microorganism.

Abstract: A method for evaluating a risk of a subject getting a specific disease includes steps of: storing a reference database that contains original parameter sets; selecting target alleles from an SNP profile derived from genome sequencing data of a subject; selecting target parameter sets from among the original parameter sets; calculating, for each of the target parameter sets, a race factor based on a global risk allele frequency and a group-specific risk allele frequency included in the target parameter set; calculating a genetic factor based on statistics, global reference allele frequencies, the race factors for the target parameter sets, and numbers of chromosomes in homologous chromosome pairs included in the target parameter sets; calculating a citation factor based on numbers of citation times included in the target parameter sets; and calculating a risk score based on the genetic factor and the citation factor.

Abstract: Methods of amplifying and determining a target nucleotide sequence are provided. The method of amplifying the target nucleotide sequence includes the following steps. A first adaptor and a second adaptor are linked to two ends of a double-stranded nucleic acid molecule with a target nucleotide sequence respectively to form a nucleic acid template, in which the first adaptor includes a Y-form adaptor or a hairpin adaptor and the second adaptor is a hairpin adaptor. Then, a PCR amplification cycle is performed on the nucleic acid template to obtain a PCR amplicon of the target nucleotide sequence.

Abstract: Techniques for automatically manufacturing mechanical parts are described. A first estimate of manufacturing cost for a first mechanical part is generated using a first machine learning model. In response to determining that the first estimate of manufacturing cost for the first mechanical part falls within a range of effectivity for the first machine learning model, a second estimate of manufacturing cost for the first mechanical part is generated using a second machine learning model. An expected cost error in the second estimate of manufacturing cost for the first mechanical part is determined, and upon determining that the expected cost error falls within a pre-determined acceptable range, automatic manufacturing of the first mechanical part is facilitated.

Abstract: Techniques for automatically manufacturing mechanical parts are described. A first estimate of manufacturing cost for a first mechanical part is generated using a first machine learning model. In response to determining that the first estimate of manufacturing cost for the first mechanical part falls within a range of effectivity for the first machine learning model, a second estimate of manufacturing cost for the first mechanical part is generated using a second machine learning model. An expected cost error in the second estimate of manufacturing cost for the first mechanical part is determined, and upon determining that the expected cost error falls within a pre-determined acceptable range, automatic manufacturing of the first mechanical part is facilitated.

Abstract: Provided herein is a method for generating a two dimensional barcode including hidden data, including steps of: acquiring a first two dimensional barcode and extracting a plurality of first data modules from the first two dimensional barcode, wherein the first data modules represent an original message data, and acquiring the hidden data and processing the first data modules to embed the hidden data in the first data modules to generate a plurality of second data modules and performing an error correction code encoding on the second data modules to adjust the second data modules and generate a plurality of error correction code modules and merging the adjusted second data modules and the error correction code modules to generate a second two dimensional barcode.

Abstract: Provided herein is a method for generating a two dimensional barcode including hidden data, including steps of: acquiring a first two dimensional barcode and extracting a plurality of first data modules from the first two dimensional barcode, wherein the first data modules represent an original message data, and acquiring the hidden data and processing the first data modules to embed the hidden data in the first data modules to generate a plurality of second data modules and performing an error correction code encoding on the second data modules to adjust the second data modules and generate a plurality of error correction code modules and merging the adjusted second data modules and the error correction code modules to generate a second two dimensional barcode.

Abstract: The present invention provides a curable organopolysiloxane composition comprising one or more from a group including magnesium oxide, magnesium hydroxide, magnesium carbonate, hydrotalcite, hydrotalcite-like compounds, and magnesium silicate. The application of said organopolysiloxane composition in semiconductor devices of light emitting components may effectively block the permeation of hydrogen sulfide or sulfide and prevent silver-plated laminates from being oxidated without affecting the original light output efficiency, so that silver-plated laminates may be effectively protected and anti-sulfidation effect may be enhanced.

Abstract: A method for generating a color QR code includes: generating a grayscale image according to a color image; providing a QR code and dividing the grayscale image into the number of grayscale image modules matching module numbers of the QR code; generating a threshold mask image from grayscale image modules; cutting out each center block from center part of each grayscale image module and calculating characteristics values of the center blocks; identifying color of each module of the QR code, and comparing the characteristics values of the center blocks of the grayscale image to the corresponding threshold value compensated by robustness value to identify center blocks needing pixel luminance adjustment; dividing the center blocks needing pixel luminance adjustment into multiple layers of blocks; adjusting pixel luminance of the multiple layers of blocks using the robustness value times with corresponding weightings; and generating a fused color QR code.

Abstract: A method for generating a color QR code includes: generating a grayscale image according to a color image; providing a QR code and dividing the grayscale image into the number of grayscale image modules matching module numbers of the QR code; generating a threshold mask image from grayscale image modules; cutting out each center block from center part of each grayscale image module and calculating characteristics values of the center blocks; identifying color of each module of the QR code, and comparing the characteristics values of the center blocks of the grayscale image to the corresponding threshold value compensated by robustness value to identify center blocks needing pixel luminance adjustment; dividing the center blocks needing pixel luminance adjustment into multiple layers of blocks; adjusting pixel luminance of the multiple layers of blocks using the robustness value times with corresponding weightings; and generating a fused color QR code.

Abstract: A method of detecting hepatocellular carcinoma includes the steps of: detecting a methylation level of a CpG site of HOXA9 gene in a biological sample taken from a suspected subject; and comparing the methylation level to a reference methylation level of a CpG site of HOXA9 gene in another biological sample taken from a normal subject not suffering from hepatocellular carcinoma, wherein when the methylation level is higher than the reference methylation level, the suspected subject is likely to suffer from hepatocellular carcinoma, and wherein each of the biological samples is selected from the group consisting of a blood sample, a serum sample, and a plasma sample.

Abstract: A use of Sargassum Cristaefolium extract in preparing a pharmaceutical or a food having a blood lipid regulation function is provided in the disclosure. The Sargassum Cristaefolium extract is obtained by performing a hot extraction process on Sargassum Cristaefolium.

Abstract: A cable connector includes an insulative housing defining a mounting chamber, a bottom surface positioned at the bottom of mounting chamber and a number of longitudinal ribs formed on the bottom surface while extending upwardly beyond the bottom surface. Multiple contacts are fixed in the insulative housing and include a number of soldering tails under an arrangement that each adjacent two soldering tails are separated by one of the ribs. A space between adjacent edges of the adjacent two soldering tails is much bigger than a width of the corresponding rib which is located between the adjacent two soldering tails for preventing short circuit of the soldering tails.

Abstract: A cable connector includes an insulative housing defining a mounting chamber, a bottom surface positioned at the bottom of mounting chamber and a number of longitudinal ribs formed on the bottom surface while extending upwardly beyond the bottom surface. Multiple contacts are fixed in the insulative housing and include a number of soldering tails under an arrangement that each adjacent two soldering tails are separated by one of the ribs. A space between adjacent edges of the adjacent two soldering tails is much bigger than a width of the corresponding rib which is located between the adjacent two soldering tails for preventing short circuit of the soldering tails.