16 results about "Birth weight" patented technology

The invention relates to the technical field of microbial preparations, and provides a microbial agent suitable for animal feed, which not only can improve the litter size and live litter size, but also can improve the birth weight of piglets and improve the survival rate of the piglets on the basis of solving constipation of sows by adopting probiotics. A microbial agent suitable for animal feed comprises 15 parts of bacterial powder, 45 parts of corn starch, 12 parts of skim milk powder, 8 parts of a yeast extract, 7 parts of a soybean extract and 6 parts of a rice bran extract. The bacterial powder is pediococcus pentosaceus bacterial powder, and the viable count of pediococcus pentosaceus in the microbial agent is not less than 1 * 10 < 6 > CFU / g.

The present invention belongs to the field of molecular biotechnology and molecular marker technology, and discloses a SNP molecular marker related to pig birth weight and its application. The SNP molecular marker related to pig birth weight corresponds to the nucleic acid site at 5379864 bp on chromosome 16 of the pig reference genome Sscrofa11.1 version sequence. The base of the site is C or T and is contained in the intron of the MARCHF11 gene. The present invention also discloses the application of the SNP molecular marker related to pig birth weight in the genetic breeding of Landrace pigs, and provides a method for selecting or assisting in the selection of pigs with high / low birth weight using the SNP molecular marker and a primer for identifying the SNP site. The above method can achieve accurate prediction and efficient selection of Landrace pig birth weight, promote the cultivation of excellent breeding pigs, accelerate the population improvement process, and provide strong support for the sustainable development of the pig farming industry.

The invention discloses premature infant / low birth weight infant formula milk powder, a low side reaction preparation method and an evaluation analysis method, and belongs to the field of emulsion preparation. The technical problems that in the prior art, premature infant / low-birth-weight infant formula milk powder has the characteristics of high protein and high fat, and the protein-lipid co-oxidation phenomenon is prone to occurring are solved, the low-side-reaction preparation method of the premature infant / low-birth-weight infant formula milk powder is provided, and by changing homogenizing process parameters, the low-side-reaction content of the premature infant / low-birth-weight infant formula milk powder is improved. Through cooperation of sterilization and vacuum spray drying technologies, the interface protein content and emulsifying activity of the formula milk powder are improved, protein-lipid co-oxidation is reduced to the greatest extent, and the stability of the formula milk powder is enhanced; based on a quantitative structure-activity relationship (QSAR) model, the invention also provides an evaluation analysis method, which can accurately predict the influence of homogeneous process parameters and interface characteristics on oxidation stability, and provides a new method for accurate manufacturing of premature infant / low birth weight infant formula food.

The invention provides a multi-mode maternal and infant emotion interaction and physiological data fusion feedback system chair for the obstetrics department, which is specially designed for kangaroo type nursing of premature infants, low birth weight infants and sick newborns, and comprises an adjustable ergonomic chair body used for providing comfortable support; the multi-modal data acquisition module is used for acquiring infant physiological data, behavior data and environment data; the data fusion analysis module is used for carrying out standardization processing and fusion analysis on the multi-source data and evaluating the state of the baby; the self-adaptive early warning module is used for dynamically adjusting an early warning threshold value based on the individualized baseline parameters; the interactive feedback module is used for providing visual, auditory and tactile multi-channel feedback; the mother and infant interaction optimization module analyzes the interaction mode and generates personalized suggestions; the problems of insufficient comfort, lack of safety monitoring, lack of visibility and the like in traditional kangaroo type nursing are solved, the functions of multi-modal data fusion, self-adaptive early warning and personalized interaction are achieved, and the safety, comfort and effectiveness of kangaroo type nursing are remarkably improved.

The invention discloses application of an SNP (Single Nucleotide Polymorphism) molecular marker located on a pig chromosome 1 and related to birth weight. The locus of the SNP molecular marker corresponds to Cgt at the 267736954 bp on a chromosome 1 of an international pig reference genome version 11.1; the genotype of the SNP molecular marker is CC, CT or TT. According to the present invention, by detecting the single nucleotide polymorphism and / or the genotype of the SNP molecular marker, the identification of the birth weight character of the pig can be achieved, and by breeding the pig carrying the mutant T allele and eliminating the pig with the genotype of CC, the birth weight of the offspring pig can be improved so as to improve the survival rate, the growth and development speed and the disease resistance of the newborn piglet.

The invention discloses an SNP (Single Nucleotide Polymorphism) molecular marker related to a pig birth weight character and application of the SNP molecular marker, and belongs to the technical field of pig molecular markers. The molecular marker is located at the 7465021st site on the first chromosome of a pig genome, and is a nucleotide sequence shown in SEQ ID NO.1, and the 101st basic group of the nucleotide sequence is G or A. The molecular marker has a nucleotide sequence shown in SEQ ID NO.2. The ADDO software is utilized to carry out whole genome association analysis of additive effect and dominant effect, the SNP molecular marker closely related to the pig birth weight character is screened and identified, and a theoretical basis and an application reference are provided for genetic mechanism research and breeding improvement of the pig birth weight character. The invention provides an SNP molecular marker which is used for rapidly and accurately identifying large black F2 pig birth weight traits and is remarkably related to the birth weight traits. The method can be directly used for molecular marker-assisted selection (MAS) of boars, so that the matching efficiency is improved; the accumulation and utilization of excellent breeding genes are promoted, and the birth weight of the piglets and the economic benefit of breeding are remarkably improved.

This product is an undergarment for low-birth-weight infants with extremely sensitive skin. It has a double-layered structure with a skin-friendly material on the inside and a material with a certain degree of strength on the outside. The edges are folded outwards and reinforced with fabric sewn only on the outside, and the front and back are formed into a tubular shape from a single piece of fabric, so that the folded edges and seams of the entire undergarment do not directly irritate the skin.

Disclosed is a method for monitoring and evaluation of bowel health in premature newborns. The method involves collecting stool / fecal samples from premature newborns / babies and processing the sample using microbiomics, automated cell counting, flowcytometry, and RT PCR analysis using specific gene signature or RNA transcriptomics analysis to determine risk of necrotizing enterocolitis. The method allows evaluation and tracking of gut health without needing to draw a blood test and is a non-invasive method. The method diagnoses and prevents bowel inflammation, infection and necrotizing enterocolitis (NEC) that facilitates initiation of prompt therapy to limit morbidity and mortality in premature babies. The method facilitates early management of signs of NEC thereby helping to save lives of premature babies and infants having low birth weight.

The invention discloses a premature infant post-hospital health management method, system and device, a medium and a product, and relates to the field of medical health, the method comprises the following steps: according to first data of a target premature infant, carrying out initial grading on the target premature infant to obtain a health risk level of the target premature infant at an initial moment; the first data comprises a medical record, birth gestational age and birth weight of the premature infant; the updating operation is circularly executed until the month age of the target premature infant reaches the month age threshold value, second data, collected newly, of the target premature infant are obtained, and the second data comprise at least one of vital sign monitoring data, growth and development data and home care data; dynamically updating the health risk level of the target premature infant according to a preset updating period and newly collected second data; after the updating operation is executed each time, personalized nursing suggestions of the target premature infant are generated according to newly collected second data and the updated health risk level; according to the invention, the management effect of the premature infant after discharge is improved.

The application discloses a method for feeding a giant panda super-light birth weight cub, relates to the field of artificial auxiliary feeding technology of a giant panda cub and nursing of a parturient female animal, and solves the technical problem of feeding and survival of a giant panda super-light birth weight cub (birth weight ≤60g), and comprises the following steps: artificial incubation is performed on a giant panda super-light birth weight cub just after birth, and the body temperature of the cub is maintained at 36.5 DEG C to 37 DEG C; artificial feeding of colostrum is performed on the cub within one week after birth, and the cub is allowed to suck the colostrum as much as possible according to the cub's condition at 8 days and after 8 days; the body weight of the giant panda super-light birth weight cub is ≤60g; three important conditions for survival of the giant panda super-light birth weight cub are maintaining normal body temperature of the cub, sufficient colostrum intake and 24-hour monitoring, that is, timely taking out and warming, timely feeding of sufficient colostrum, 24-hour personnel monitoring and observation, and good disinfection of a cub rearing box, a cub rearing room, cub contact objects and staff; the giant panda super-light birth weight cub with a birth weight of 42.80g and / or 51g is successfully reared and survived for the first time.

The present invention relates to an artificial intelligence-based method for assisting in predicting the probability of success of extubating a low-birth weight neonate or the time of extubating a low-birth weight neonate, the method comprising the steps of: acquiring information - including at least one of patient information, ventilation information, and vital sign information - about the low-birth weight neonate; calculating the probability of success of extubating the low-birth weight neonate by using a neural network model; and recommending performing extubation when the probability of success of extubation is at least a threshold value, and recommending keeping on an artificial respirator when the probability of success of extubation is smaller than the threshold value.

The invention discloses a nutritional composition. The nutritional composition comprises animal protein, vegetable protein and prebiotics, in the nutritional composition, the mass ratio of the animal protein to the vegetable protein to the prebiotics is 1: (3-6): (0.4-0.8). The invention also discloses application of the nutritional composition in maintaining stable diversity of intestinal flora during pregnancy and improving the birth outcome of newborns. According to the nutritional composition provided by the invention, by optimizing the ratio of the resistant dextrin to the protein and reasonably adjusting the ratio of the plant protein to the animal protein, the alpha diversity stability of intestinal flora in each stage (including early pregnancy, middle pregnancy and late pregnancy) of pregnancy can be effectively maintained; moreover, the growth retardation of the newborns can be reduced, the premature birth rate and the low birth weight incidence rate are reduced, and the birth outcome of the newborns is remarkably improved.

The invention relates to application of myo-inositol in preparation of a product for improving the health condition and reproductive capacity of pregnant sows, and belongs to the technical field of biology. According to the method, muscle inositol is fed in the late gestation period of the pregnant sow, namely from 85-90 days of gestation to delivery, so that the number of healthy litter birth of the pregnant sow can be remarkably increased, the antioxidant capacity and anti-inflammatory capacity of the pregnant sow are improved, no adverse effect is generated on the birth weight and birth litter weight of piglets, the health condition and reproductive performance of the pregnant sow are effectively improved, and the breeding cost of the pregnant sow is reduced. The improvement effect is obviously better than the effect of adding myo-inositol in other stages.

The invention discloses a breeding method of dairy and meat dual-purpose cattle, and belongs to the technical field of cattle genetic breeding. The method comprises the following steps: respectively screening Shuxuan Hua cattle in five stages of birth, 6 months old, 12 months old, 18 months old and 24 months old; according to the screening method during birth, the body shape and appearance meet the variety characteristic requirements, the birth weight reaches 27 kg or above, double-fetal individuals are prevented from being selected, the source and blood relationship are clear, archive pedigree records are complete, and genetic defects do not exist; and respectively screening out breeding bulls of which the weight and the body shape are not lower than those of the first stage of the stage and breeding cows of which the comprehensive evaluation is not lower than those of the second stage of the stage at the age of 6 months, the age of 12 months, the age of 18 months and the age of 24 months. According to the method, the Shuxuan Hua cattle breeding method is standardized, determination, measurement and statistics are carried out on each stage, and on-site seed selection and data analysis are combined, so that a scientific dairy and meat dual-purpose cattle breeding system is established, directional breeding is carried out, and the genetic progress is continuously improved.

The invention discloses a dynamic evaluation and grading prediction method and system for early risk of diabetes mellitus of children, and relates to the technical field of artificial intelligence prediction. The method comprises the steps of collecting multi-dimensional health data of children, including birth weight, family history, lifestyle indexes and clinical detection values; preprocessing and normalizing the data; extracting family history risk features, lifestyle risk features and clinical index features; calculating a diabetes risk score by using a pre-trained logistic regression model; and implementing dynamic risk assessment by periodically repeating the steps and adopting an exponentially weighted moving average method. Children are divided into low, medium and high risk levels according to the risk probability, and personalized intervention suggestions are provided. Through multi-dimensional data fusion and a dynamic updating mechanism, the limitation that an existing evaluation method is single and static is solved, accurate and dynamic prediction of the risk of diabetes mellitus of children can be achieved, and a scientific basis is provided for early intervention.

The application discloses application of a SNP molecular marker related to the birth weight on chromosome 1 of pigs, wherein the site of the SNP molecular marker corresponds to a C>T mutation at 267736954 bp on chromosome 1 of an international pig reference genome 11.1 version, and the genotype of the SNP molecular marker is CC, CT or TT. By detecting the single nucleotide polymorphism and / or genotype of the SNP molecular marker, the birth weight of pigs can be identified, and by breeding pigs carrying the mutant T allele and eliminating pigs with the genotype CC, the birth weight of offspring pigs can be improved, and the survival rate, growth and development speed and disease resistance of new-born piglets can be improved.