Abstract: The invention provides a system and a method thereof for establishing an extubation prediction using a machine learning model capable of obtaining an extubation prediction model and key features used by the extubation prediction model through training and/or verification of a machine learning model, and analyzing key feature data of a patient in real time through the extubation prediction model in order to obtain a possibility of extubation of the patient and its related explanation. Accordingly, the system and the method thereof for establishing the extubation prediction using the machine learning model disclosed in the invention are used as a tool for clinical caregivers to evaluate extubation in order to reduce a possibility of reintubation due to inability to breathe spontaneously after extubation.

Abstract: A molding machine 1 is provided, which molds a gyoza wrapper by rolling a gyoza wrapper material lump. A first roller 12 rolls the gyoza wrapper material lump vertically downward to form an approximately elliptical semi-finished product. A direction changing device 30 including a pendulum 31 is positioned vertically below the first roller 12. The pendulum 31 includes a fulcrum portion 314 and an edge receiving portion 311 positioned closer to the central portion side of the first roller 12 than a position immediately below the fulcrum portion 31, which receives the front edge of the semi-finished product. When the semi-finished product is received by the edge receiving portion 311, the pendulum 31 changes the direction of the semi-finished product. A second roller 22 positioned vertically below the first roller 12 then rolls the semi-finished product vertically downward, so as to form a gyoza wrapper.

Abstract: Disclosed herein is a hydrogel composition that includes a crosslinked collagen polymer, a carboxymethyl cellulose derivative, an aqueous sodium chloride solution, a humectant, and an antimicrobial agent. The crosslinked collagen polymer has collagen, a hydrophilic polyether, and a dicarbamate group linking the collagen to the hydrophilic polyether. The carboxymethyl cellulose derivative is selected from the group consisting of carboxymethyl cellulose, an alkali metal salt of carboxymethyl cellulose, an ammonium salt of carboxymethyl cellulose, and combinations thereof. The humectant is selected from the group consisting of glycerin, propylene glycol, and a combination thereof. The antimicrobial agent is a combination of glycine betaine and polyhexamethylene biguanide hydrochloride.

Abstract: Disclosed herein is a polyurethane foam sponge produced by the steps of a) providing an hydrophobic polyol which has six hydroxyl groups, b) providing a hydrophilic diisocyanate obtained by reacting a diisocyanate with a hydrophilic polyether diol, c) reacting the hydrophobic polyol with the hydrophilic diisocyanate to obtain a prepolymer which includes 3 to 6 isocyanate groups, and d) mixing the prepolymer with a hydrophilic polyether polyol, a blowing agent, an end-capping agent, a reinforcing agent, and a catalyst to obtain the polyurethane foam sponge. A wound dressing including the polyurethane foam sponge is also disclosed.

Abstract: Provided is an engineered bacterium for producing nervonic acid and/or grease. The genome of the engineering bacterium is integrated with an expression cassette expressing a protein encoded by 3-ketoacyl-CoA synthase (KCS) gene and/or an exterase gene.

Abstract: A multidrop network system includes N network devices. The N network devices include a master device and multiple slave devices, and each network device has an identification code as its own identification in the multidrop network system. The N network devices have N identification codes and obtain transmission opportunities in turn according to the N identification codes in each round of data transmission. Each network device performs a count operation to generate a current count value, and when the identification code of a network device is the same as the current count value, this network device obtains a transmission opportunity. After a device obtains the transmission opportunity, it determines whether a cut-in signal from another network device is observed in a front duration of a predetermined time slot, and then determines whether to abandon/defer the right to start transmitting in the remaining duration of the predetermined time slot.

Abstract: An acute kidney injury predicting system and a method thereof are proposed. A processor reads the data to be tested, the detection data, the machine learning algorithm and the risk probability comparison table from a main memory. The processor trains the detection data according to the machine learning algorithm to generate an acute kidney injury prediction model, and inputs the data to be tested into the acute kidney injury prediction model to generate an acute kidney injury characteristic risk probability and a data sequence table. The data sequence table lists the data to be tested in sequence according to a proportion of each of the data to be tested in the acute kidney injury characteristics. The processor selects one of the medical treatment data from the risk probability comparison table according to the acute kidney injury characteristic risk probability.

Abstract: A respiratory status classifying method is for classifying as one of at least two respiratory statuses and includes an original physiological parameter inputting step, an original chest image inputting step, a characteristic physiological parameter generating step, a characteristic chest image generating step, a training step and a classifier generating step. The characteristic chest image generating step includes processing at least a part of the original chest images, segmenting images of a left lung, a right lung and a heart from each of the original chest images that are processed, and enhancing image data of the images being segmented, so as to generate a plurality of characteristic chest images. The training step includes training two respiratory status classifiers using a plurality of characteristic physiological parameters and the characteristic chest images by at least one machine learning algorithm.

Abstract: A multidrop network system includes N network devices. The N network devices includes M transmission-permissible devices including a master device and at least one slave device, wherein M is not greater than N. Each transmission-permissible device has at least one identification code as its identification in the multidrop network system, and the M transmission-permissible devices have at least N identification codes. The M transmission-permissible devices obtain transmission opportunities in turn according to their respective identification codes in each round of data transmission. A Kth device among the M transmission-permissible devices has multiple identification codes, and thus obtains multiple transmission opportunities in one round of data transmission.

Abstract: A bloodstream infection predicting system and a method thereof are proposed. The memory unit stores a plurality of historical medical data, the real-time data to be tested and a machine learning algorithm. The processor is configured to implement a bloodstream infection predicting method. The bloodstream infection predicting method includes reading the historical medical data from the memory unit, training the historical medical data to generate a bloodstream infection prediction model, reading the real-time data to be tested of the patient from the memory unit, and inputting the real-time data to be tested into the bloodstream infection prediction model to generate the bloodstream infection risk probability. The real-time data to be tested includes an intensive care unit detecting data and a blood inspection data of the patient. The intensive care unit detecting data and the blood inspection data are detected during a feature window time interval.

Abstract: An acute kidney injury predicting system and a method thereof are proposed. A processor reads the data to be tested, the detection data, the machine learning algorithm and the risk probability comparison table from a main memory. The processor trains the detection data according to the machine learning algorithm to generate an acute kidney injury prediction model, and inputs the data to be tested into the acute kidney injury prediction model to generate an acute kidney injury characteristic risk probability and a data sequence table. The data sequence table lists the data to be tested in sequence according to a proportion of each of the data to be tested in the acute kidney injury characteristics. The processor selects one of the medical treatment data from the risk probability comparison table according to the acute kidney injury characteristic risk probability.

Abstract: A respiratory status classifying method is for classifying as one of at least two respiratory statuses and includes a training's physiological parameter inputting step, a training's chest image inputting step, a characteristic physiological parameter generating step, a characteristic chest image generating step, a training step and a classifier generating step. The characteristic chest image generating step includes processing at least a part of the training's chest images, segmenting images of a left lung, a right lung and a heart from each of the training's chest images that are processed, and enhancing image data of the images being segmented, so as to generate a plurality of characteristic chest images. The training step includes training a plurality of characteristic physiological parameters and the characteristic chest images by at least one machine learning algorithm.

Abstract: The present invention discloses an engineering yeast strain for producing nervonic acids. The yeast strain over-expresses the genes related to enzymes required in a synthetic process of long-chain unsaturated fatty acids, such as fatty acid elongase, desaturase, diacylglycerol acyltransferase and the like, and optionally, further adjusts and controls the synthesis and decomposition route of triglyceride, the synthesis and decomposition route of sphingomyelin, and the synthesis and decomposition route and the oxidation-reduction balanced route of lipid subcell levels. The recombinant yeast strain can produce microorganism oil; and the content of the prepared nervonic acids accounts for 39.6% of the total fatty acids.

Abstract: Disclosed herein is a hydrogel wound dressing produced by the steps of a) providing an hydrophobic polyol which has six hydroxyl groups, b) providing an hydrophilic diisocyanate obtained by reacting a second diisocyanate with a hydrophilic polyether diol, c) reacting the hydrophobic polyol with the hydrophilic diisocyanate to obtain a first prepolymer which includes 3 to 6 isocyanate groups, d) partially crosslinking the first prepolymer using a crosslinking agent to obtain a second prepolymer, and e) subjecting the second prepolymer to an end-capping reaction with a silane-containing compound to obtain the hydrogel wound dressing.

Abstract: A multidrop network system includes N network devices. The N network devices include a master device and multiple slave devices, and each network device has an identification code as its own identification in the multidrop network system. The N network devices have N identification codes and obtain transmission opportunities in turn according to the N identification codes in each round of data transmission. Each network device performs a count operation to generate a current count value, and when the identification code of a network device is the same as the current count value, this network device obtains a transmission opportunity. After a device obtains the transmission opportunity, it determines whether a cut-in signal from another network device is observed in a front duration of a predetermined time slot, and then determines whether to abandon/defer the right to start transmitting in the remaining duration of the predetermined time slot.

Abstract: A liquid dressing includes a solvent and a film-forming polymer that is dissolved in the solvent and that is made by a process including: providing an alkoxy group-containing silicone resin which is obtained by subjecting an orthosilicate compound and an acidic aqueous solution to a hydrolysis and polymerization reaction; providing an isocyanate group-containing prepolymer which is obtained by reacting a diisocyanate compound with a hydrophilic polyether diol; and subjecting the alkoxy group-containing silicone resin and the isocyanate group-containing prepolymer to a polymerization reaction so as to obtain the film-forming polymer.

Abstract: A multidrop network system includes N network devices. The N network devices includes M transmission-permissible devices including a master device and at least one slave device, wherein M is not greater than N. Each transmission-permissible device has at least one identification code as its identification in the multidrop network system, and the M transmission-permissible devices have at least N identification codes. The M transmission-permissible devices obtain transmission opportunities in turn according to their respective identification codes in each round of data transmission. A Kth device among the M transmission-permissible devices has multiple identification codes, and thus obtains multiple transmission opportunities in one round of data transmission.

Abstract: The present invention relates to an oligo-saccharide oat liquid composition, an oligo-saccharide oat powder composition and an oligo-saccharide oat drink having improved properties and immunomodulatory efficacy (for example, promotion of proliferation of immune cells), a micro-milling process involving quadri-enzyme hydrolysis for preparing the same, and uses thereof.

Abstract: The subject invention aims to solve the problem of production of glucose accompanying the production of galactooligosaccharides after milk raw material is treated with lactase, by additionally adding transglucosidase to convert glucose to functional isomalto-oligosaccharide. The subject invention relates to a process for the production of a milk product enhanced with oligo-saccharides, characterized in that lactase and transglucosidase are used to treat milk raw materials. The subject invention further relates to the milk product of the process of the invention, whose oligo-saccharide content reaches a functional level. Human physiological effect assays confirm that the milk product increases intestinal probiotics, reduces harmful intestinal bacteria, improves the intestinal bacterial flora, reduces blood total cholesterol, reduces blood LDL cholesterol, increases blood HDL cholesterol, and improves the immunity, and may be used as low glycemic index (GI) dietary supplements.

Abstract: Disclosed herein is a polyurethane foam sponge produced by the steps of a) providing an hydrophobic polyol which has six hydroxyl groups, b) providing a hydrophilic diisocyanate obtained by reacting a diisocyanate with a hydrophilic polyether diol, c) reacting the hydrophobic polyol with the hydrophilic diisocyanate to obtain a prepolymer which includes 3 to 6 isocyanate groups, and d) mixing the prepolymer with a hydrophilic polyether polyol, a blowing agent, an end-capping agent, a reinforcing agent, and a catalyst to obtain the polyurethane foam sponge. A wound dressing including the polyurethane foam sponge is also disclosed.