The direct ELISA was used to detect cells from pure cultures and nodules of Bradyrhizobium japonicum USDA110 and Rhizobium fredii RTt50. The optimum dilution of enzyme-linked conjugates, HRP-Ab110 and HRP-Ab50, was 1:3200 and 1:800 respectively. The optimum dilution of antibodies, Ab110 and Ab50, was 1:3200 and 1:800 separately. The optimum concentrations of antigens, USDA110 and RTt50, were both 6?10~7 cells/ml. Slow and fast-growing soybean rhizobiz can be detected and differentiated specifically by direct ELISA. Among a few strains of these two groups of soybean rhizobia, cross-reaction occurred. This was eliminated by absorption, so that specific strain could be identified by ELISA. The minimal concentration of antigen for detected was 2?10~5 cells/ml. It was found that nodules preserved by drying over silica gel or freezing were equally good, without loss in sensitivity of ELISA. ELISA was used to study the competition of USDA110 and RTt50 with indigenous rhizobia in soil pot experiment. Nodule occupacy of USDA110 ranged from 75-87.5% in different growing season of soybean and RTt50 ranged from 25-45%. The result showed that ELISA was more sensitive than agglutination.

The principle of human respiratory function test is decleared. The innovative testing parameters is proposed to optimize traditional calculation parameters based on a respiratory function test of one-time max respiratory flow and pressure. The parameters of respiratory function evaluation was preliminarily verified, and we have already got the expected experimental result. The research can be a valuable reference for the following respiratory function test in future.
Algorithms ; Humans ; Respiratory Function Tests

A recombinant strain Escherichia coli DH5alpha(pMD19-glnA) including Bacillus subtilis glnA gene was constructed. Capillary electrophoresis and nuclear magnetic resonance were used to determine qualitatively the product of transformation by recombinant strain, and the relative level of mRNA expression of glnA was also determined by fluorescence quantitative RT-PCR. Subsequently, SDS-PAGE (polyacrylamide gel electrophoresis) was used to analysis the relative level of protein. Surprisingly, there was no increase of glutamine production in this recombinant strain, but an obvious increase in the GABA (gamma-aminobutyric acid ) production. It was showed in the experiment that protein expression of the glutamine synthetase did not increase, although glnA gene can be transcribed normally in this recombined strain. The phenomenon of exogenous glnA gene interfering metabolism of Escherichia coli was worthy of further study.
Bacillus subtilis ; genetics ; Bacterial Proteins ; genetics ; metabolism ; Escherichia coli ; genetics ; metabolism ; Glutamate-Ammonia Ligase ; genetics ; metabolism ; RNA, Messenger ; genetics ; metabolism ; Recombination, Genetic ; gamma-Aminobutyric Acid ; biosynthesis

In order to study the effects of sleep-disordered breathing on human physiology and function, and to accurately and objectively evaluate the level of human sleep quality at night, it can help patients with respiratory disorders improve sleep quality. This paper elaborates the development process of a new multi-parameter sleep quality evaluation system from the hardware circuit design, software and algorithm analysis design of the system. The system hardware platform collects the physiological signals of the 11-channel nighttime sleep period, and displays and stores them in real time on the monitoring platform. After collecting the sleep data of the whole night, it can effectively assist the sleep doctor to sleep by combining the judgment of the sleep-time respiratory disorder, the determination of the sleep cardiovascular event, the determination of the sleep-aware response event, and the sleep structure staging. The quality of sleep in patients with disorders was deeply evaluated.
Algorithms ; Humans ; Sleep ; Sleep Apnea Syndromes ; Software

Body temperature is an essential physiological parameter. Conducting non-contact, fast and accurate measurement of temperature is increasing important under the background of COVID-19. The study introduces an infrared temperature measurement system based on the thermopile infrared temperature sensor ZTP-135SR. Extracting original temperature date of sensor, post-amplification and filter processing have been performed to ensure accuracy of the system. In addition, the temperature data of environmental compensation which obtained by polynomial fitting is added to the system to further improve measurement accuracy.
Algorithms ; Body Temperature ; COVID-19 ; Humans ; Temperature ; Thermometers

EEG is a weak physiological electrical signal, which has important value in clinical and laboratory research. This paper mainly introduces several common methods of EEG signal processing, including power spectrum analysis, time-frequency analysis, bispectral analysis, etc, it mainly introduces their principles and applications in EEG signal processing, and provides methods and approaches for studying EEG.
Electroencephalography ; Humans ; Signal Processing, Computer-Assisted

Body temperature is an important physiological parameter of the human body and is used in medicine to reflect the physiological state and health status of the human body. At present, the commonly used clinical thermometers on the market are mainly divided into contact and non-contact types. Most of them are used for rapid body temperature measurement, and it is not easy to monitor body temperature changes in real time. This article introduces a new wearable wireless body temperature monitoring system based on NTC, which senses through NTC. The temperature changes are amplified and filtered, zeroed, and calibrated, and then the temperature data is uploaded to the mobile phone APP via Bluetooth in real time to achieve real-time accurate measurement of body temperature.
Body Temperature ; Cell Phone ; Humans ; Monitoring, Physiologic ; Temperature ; Wearable Electronic Devices ; Wireless Technology

The ECG signal is susceptible to interference from the external environment during the acquisition process, affecting the analysis and processing of the ECG signal. After the traditional soft-hard threshold function is processed, there is a defect that the signal quality is not high and the continuity at the threshold is poor. An improved threshold function wavelet denoising is proposed, which has better regulation and continuity, and effectively solves the shortcomings of traditional soft and hard threshold functions. The Matlab simulation is carried out through a large amount of data, and various processing methods are compared. The results show that the improved threshold function can improve the denoising effect and is superior to the traditional soft and hard threshold denoising.
Algorithms ; Computer Simulation ; Electrocardiography ; Signal Processing, Computer-Assisted ; Wavelet Analysis

Oxygen therapy is an effective clinical method for the treatment of respiratory disorders, oxygen concentrator as a necessary medical auxiliary equipment in hospitals, its research and development has been a hot spot. The study reviewed the development history of the ventilator, introduced the two preparation technique of the oxygen generator pressure swing absorption (PSA) and vacuum pressure swing adsorption (VPSA), and analyzed the core technology development of the oxygen generator. In addition, the study compared some major brands of oxygen concentrators on the market and prospected the development trend of oxygen concentrators.
Oxygen ; Oxygen Inhalation Therapy ; Hospitals ; Ventilators, Mechanical ; Equipment Design

General anesthesia is an essential part of surgery to ensure the safety of patients. Electroencephalogram (EEG) has been widely used in anesthesia depth monitoring for abundant information and the ability of reflecting the brain activity. The paper proposes a method which combines wavelet transform and artificial neural network (ANN) to assess the depth of anesthesia. Discrete wavelet transform was used to decompose the EEG signal, and the approximation coefficients and detail coefficients were used to calculate the 9 characteristic parameters. Kruskal-Wallis statistical test was made to these characteristic parameters, and the test showed that the parameters were statistically significant for the differences of the four levels of anesthesia: awake, light anesthesia, moderate anesthesia and deep anesthesia (
Algorithms ; Anesthesia, General ; Electroencephalography ; Humans ; Neural Networks, Computer ; Wavelet Analysis