Analysis of the Emergency Rescue Nursing Intervention Effect and Rescue Success Rate for Patients with Traumatic Hemorrhagic Shock

Objective:To analyze the value of emergency rescue nursing intervention in the care of patients with traumatic hemorrhagic shock and its impact on the success rate of rescue efforts.Methods:A total of 80 patients with traumatic hemorrhagic shock were selected as samples,with the timeframe from July 2022 to July 2023.The patients were randomly divided into two groups using a random number table method.Group A received emergency rescue nursing,while Group B received routine nursing care.The success rate of rescue,rescue indicators,complication rates,and family satisfaction with nursing care were compared between the two groups.Results:The rescue success rate in Group A was higher than in Group B(P<0.05);the total blood loss in Group A was less,and the rescue time,full transportation time,and hospitalization time were shorter than in Group B(P<0.05);the complication rate of patients with traumatic hemorrhagic shock in Group A was lower than in Group B(P<0.05);the family satisfaction with emergency nursing care in Group A was higher than in Group B(P<0.05).Conclusion:Emergency rescue interventions for patients with traumatic hemorrhagic shock can reduce blood loss,shorten rescue times,and improve the success rate of shock rescue,providing a safe and effective approach.

Improved Microwave Ocean Emissivity and Reflectivity Models Derived from Two-Scale Roughness Theory

The Geometrical Optics(GO)approach and the FAST Emissivity Model(FASTEM)are widely used to estimate the surface radiative components in atmospheric radiative transfer simulations,but their applications are limited in specific conditions.In this study,a two-scale reflectivity model(TSRM)and a two-scale emissivity model(TSEM)are developed from the two-scale roughness theory.Unlike GO which only computes six non-zero elements in the reflectivity matrix,The TSRM includes 16 elements of Stokes reflectivity matrix which are important for improving radiative transfer simulation accuracy in a scattering atmosphere.It covers the frequency range from L-to W-bands.The dependences of all TSRM elements on zenith angle,wind speed,and frequency are derived and analyzed in details.For a set of downwelling radiances in microwave frequencies,the reflected upwelling brightness temperature(BTs)are calculated from both TSRM and GO and compared for analyzing their discrepancies.The TSRM not only includes the effects of GO but also accounts for the small-scale Bragg scattering effect in an order of several degrees in Kelvins in brightness temperature.Also,the third and fourth components of the Stokes vector can only be produced from the TSRM.For the emitted radiation,BT differences in vertical polarization between a TSEM and FASTEM are generally less than 5 K when the satellite zenith angle is less than 40°,whereas those for the horizontal component can be quite significant,greater than 20 K.

Current development and application of soybean genomics

Soybean (Glycine max), an important domesticated species originated in China, constitutes a major source ofedible oils and high-quality plant proteins worldwide. In spite of its complex genome as a consequence of an ancienttetraploidilization, platforms for map-based genomics, sequence-based genomics, comparative genomics and functionalgenomics have been well developed in the last decade, thus rich repertoires of genomic tools and resources are available,which have been influencing the soybean genetic improvement. Here we mainly review the progresses of soybean(including its wild relative Glycine soja) genomics and its impetus for soybean breeding, and raise the major biologicalquestions needing to be addressed. Genetic maps, physical maps, QTL and EST mapping have been so well achievedthat the marker assisted selection and positional cloning in soybean is feasible and even routine. Whole genomesequencing and transcriptomic analyses provide a large collection of molecular markers and predicted genes, which areinstrumental to comparative genomics and functional genomics. Comparative genomics has started to reveal theevolution of soybean genome and the molecular basis of soybean domestication process. Microarrays resources,mutagenesis and efficient transformation systems become essential components of soybean functional genomics.Furthermore, phenotypic functional genomics via both forward and reverse genetic approaches has inferred functionsof many genes involved in plant and seed development, in response to abiotic stresses, functioning in plant-pathogenicmicrobe interactions, and controlling the oil and protein content of seed. These achievements have paved the way forgeneration of transgenic or genetically modified (GM) soybean crops.