Abstract: A patient health management platform accesses a metabolic profile for a patient and biosignals recorded for the patient during a current time period comprising sensor data and/or lab test data collected for the patient. The platform receives patient data recorded during the current time period comprising food items consumed, medications taken, and symptoms experienced by the patient. The platform implements a machine-learned metabolic model to determine a metabolic state of the patient at a conclusion of the current time period by comparing a true representation of the metabolic state and a prediction of the metabolic state. The true representation and the prediction are determined based on the recorded biosignals and the recorded patient data, respectively. The platform generates a patient-specific treatment recommendation outlining instructions for the patient to improve their metabolic state and provides the patient-specific treatment recommendation to the patient device for display to the patient.

Abstract: A patient health management platform accesses a metabolic profile for a patient and biosignals recorded for the patient during a current time period comprising sensor data and/or lab test data collected for the patient. The platform receives patient data recorded during the current time period comprising food items consumed, medications taken, and symptoms experienced by the patient. The platform implements a machine-learned metabolic model to determine a metabolic state of the patient at a conclusion of the current time period by comparing a true representation of the metabolic state and a prediction of the metabolic state. The true representation and the prediction are determined based on the recorded biosignals and the recorded patient data, respectively. The platform generates a patient-specific treatment recommendation outlining instructions for the patient to improve their metabolic state and provides the patient-specific treatment recommendation to the patient device for display to the patient.

Abstract: A method for determining a consistency coefficient of a power-law cement grout includes: determining a water-cement ratio of the power-law cement grout; according to engineering practice requirements, determining a time required to determine the consistency coefficient of the power-law cement grout; and obtaining the consistency coefficient of the power-law cement grout. The method is accurate and reliable, requires less calculation, etc.; and has very high practical value and popularization value in environmental protection and ecological restoration.

Abstract: A pixel circuitry, a method for driving the pixel circuitry, and a display device are provided. The pixel circuitry includes a driving circuit, a first switching circuit, a second switching circuit and a light-emitting element. The driving circuit includes a first transistor and a storage capacitor. A control end of the first transistor is electrically connected to the first switching circuit, a first end of the first transistor is electrically connected to a first voltage end, a second end of the first transistor is electrically connected to an anode of the light-emitting element, a third end of the first transistor is electrically connected to the second switching circuit, a first end of the storage capacitor is electrically connected to the first voltage end, and a second end of the storage capacitor is electrically connected to the control end of the first transistor.

Abstract: A method for extracting and isolating a lutein crystal from a vegetable oil resin containing a lutein diester, comprises: dissolving lipase into deionized water to form an enzyme solution; dissolving a lutein extract into an alcohol solvent containing the deionized water to form a uniform alcohol solution; adding the enzyme solution to the alcohol solution for performing hydrolysis, and stirring same to obtain a lutein solution; filtering and performing filtration isolation on the lutein solution to obtain a crystalline; re-dissolving the crystalline into a non-polar organic solvent, and using deionized water for washing a water-soluble impurity; recycling and cooling the organic solvent to obtain a recrystallization; and isolating and drying the recrystallization to obtain the lutein crystal. In this method, selectivity is strong, reaction time is short, no waste water is produced, process is environment-friendly and suitable for industrial production, and obtained lutein crystal is high in purity and yield.

Abstract: Provided is engineered microorganisms expressing acetoacetyl-CoA reductase variants and a method for improving the yield of PHA. Compared with the wild-type acetoacetyl-CoA reductase represented by SEQ ID NO. 31, the variant has one or more of the following mutations: (1) mutation of valine at position 141 to isoleucine or leucine; (2) mutation of methionine at position 12 to threonine, serine, alanine, leucine, lysine or isoleucine; (3) mutation of isoleucine at position 194 to valine, leucine or methionine; (4) mutation of glutamic acid at position 42 to lysine, glutamine, leucine, aspartic acid, proline, threonine, asparagine, or histidine; and (5) mutation of phenylalanine at position 55 to valine, alanine or isoleucine. The variants and their coding genes can promote the synthesis and accumulation of PHA by the strain and increase the yield of PHA.

Abstract: A timing method and a clock device are provided. The method includes: determining a timing point according to a timing duration of a clock device, where a clock period of the clock device is T, the timing duration is N times of a first time duration, and the first time duration is equal to Q2×T, where Q2=?Q1? or Q2=?Q1?, and Q1=C/T, N is a positive integer, Q1 is not an integer, and C is a constant (210); and performing one adjustment on timing time of the clock device each time P first time durations elapse, where an amount of time for each adjustment is one clock period T, P=1/|Q2?Q1| (220). Based on this method, accurate timing can still be effectively implemented when a ratio of a constant C (for example, 1.25 ms) to a clock period is not an integer.

Abstract: A timing method and a clock device are provided. The method includes: determining a timing point according to a timing duration of a clock device, where a clock period of the clock device is T, the timing duration is N times of a first time duration, and the first time duration is equal to Q2×T, where Q2=?Q1? or Q2=?Q1? and Q1=C/T, N is a positive integer, Q1 is not an integer, and C is a constant (210); and performing one adjustment on timing time of the clock device each time P first time durations elapse, where an amount of time for each adjustment is one clock period T, P=1/|Q2?Q1| (220). Based on this method, accurate timing can still be effectively implemented when a ratio of a constant C (for example, 1.25 ms) to a clock period is not an integer.

Abstract: A method for generating evaluation information, including the following steps: obtaining first information from user behavior information; determining whether the first information matches key matching information, and if yes, then obtaining a category to which the key matching information corresponding to the first information belongs; and generating evaluation information according to the category. The method and system for providing evaluation information, and a corresponding computer storage medium, obtain first information from the user behavior information, and obtain a corresponding category according to the first information which matches the preset key matching information, thus generating evaluation information corresponding to the category. The generated evaluation information varies as the first information varies, and dynamic adjustment of evaluation information is achieved.