Genome wide investigation of Hsf gene family in Phoebe bournei:identification,evolution,and expression after abiotic stresses

Heat shock transcription factors(Hsfs)have important roles during plant growth and development and responses to abiotic stresses.The identification and func-tion of Hsf genes have been thoroughly studied in various herbaceous plant species,but not woody species,especially Phoebe bournei,an endangered,unique species in China.In this study,17 members of the Hsf gene family were identi-fied from P.bournei using bioinformatic methods.Phyloge-netic analysis indicated that PbHsf genes were grouped into three subfamilies:A,B,and C.Conserved motifs,three-dimensional structure,and physicochemical properties of the PbHsf proteins were also analyzed.The structure of the PbHsf genes varied in the number of exons and introns.Pre-diction of cis-acting elements in the promoter region indi-cated that PbHsf genes are likely involved in responses to plant hormones and stresses.A collinearity analysis dem-onstrated that expansions of the PbHsf gene family mainly take place via segmental duplication.The expression levels of PbHsf genes varied across different plant tissues.On the basis of the expression profiles of five representative PbHsf genes during heat,cold,salt,and drought stress,PbHsf pro-teins seem to have multiple functions depending on the type of abiotic stress.This systematic,genome-wide investigation of PbHsf genes in P.bournei and their expression patterns provides valuable insights and information for further func-tional dissection of Hsf proteins in this endangered,unique species.

IUKF neural network modeling for FOG temperature drift

A novel neural network based on iterated unscented Kalman filter （IUKF） algorithm is established to model and com- pensate for the fiber optic gyro （FOG） bias drift caused by temperature. In the network, FOG temperature and its gradient are set as input and the FOG bias drift is set as the expected output. A 2-5-1 network trained with IUKF algorithm is established. The IUKF algorithm is developed on the basis of the unscented Kalman filter （UKF）. The weight and bias vectors of the hidden layer are set as the state of the UKF and its process and measurement equations are deduced according to the network architecture. To solve the unavoidable estimation deviation of the mean and covariance of the states in the UKF algorithm, iterative computation is introduced into the UKF after the measurement update. While the measure- ment noise R is extended into the state vectors before iteration in order to meet the statistic orthogonality of estimate and mea- surement noise. The IUKF algorithm can provide the optimized estimation for the neural network because of its state expansion and iteration. Temperature rise （-20-20℃） and drop （70-20℃） tests for FOG are carried out in an attemperator. The temperature drift model is built with neural network, and it is trained respectively with BP, UKF and IUKF algorithms. The results prove that the proposed model has higher precision compared with the back- propagation （BP） and UKF network models.

产前诊断并宫内治疗胎儿巨大肝血管瘤1例

本文报道1例合并心脏增大的胎儿巨大肝血管瘤病例的宫内治疗。孕妇孕23周因“超声发现胎儿腹部异常回声(肝血管瘤?肝动静脉瘘畸形?)”转诊至广东省妇幼保健院。孕26周产前超声提示胎儿肝血管瘤增大至45 mm×35 mm×42 mm且合并心脏增大(心胸面积比0.50),故在孕妇及家属知情同意下联合普萘洛尔和地塞米松宫内给药并持续超声监测,用药初期肿块仍有增大,至药物治疗第7周肿块渐缩小、胎儿心脏负荷降低,病情得到控制,最终在37周顺利分娩。新生儿4日龄CT检查示腹部包块大小为40 mm×30 mm×44 mm,无需治疗,随访至1岁未见异常。

simple and effective aerosol pathogen disinfection test for a flowing air disinfector

Aerosol transmission is an important disease transmission route and has been especially pertinent to hospital and biosafety laboratories during the SARS-CoV-2 pandemic.The thermal resistance of airborne SARS-CoV-2 is lower than that of Bacillus subtilis spores,which are often used to test the effectiveness of SARS-CoV-2 and other pathogen disinfection methods.Herein,we propose a new method to test the disinfection ability of a flowing air disinfector(a digital electromagnetic induction air heater)using B.subtilis spores.The study provides an alternative air disinfection test method.The new test system combined an aerosol generator and a respiratory filter designed in-house and could effectively recover spores on the filter membrane at the air outlet after passing through the flowing air disinfector.The total number of bacterial spores used in the test was within the range of 5×10^(5)–5×10^(6)colony-forming units(CFUs)specified in the technical standard for disinfection.The calculation was based on the calculation method in Air Disinfection Effect Appraisal Test in Technical Standard for Disinfection(2002 Edition).At an air speed of 3.5 m/s,we used a digital electromagnetic induction air heater to disinfect flowing air containing 4.100×10^(6)CFUs of B.subtilis spores and determined that the minimum disinfection temperature was 350℃for a killing rate of 99.99%.At 400℃,additional experiments using higher spore concentrations(4.700×10^(6)±1.871×10^(5)CFU)and a higher airspeed(4 m/s)showed that the killing rate remained>99.99%.B.subtilis spores,as a biological indicator for testing the efficiency of dry-heat sterilization,were killed by the high temperatures used in this system.The proposed method used to test the flowing air disinfector is simple,stable,and effective.This study provides a reference for the development of test systems that can assess the disinfection ability of flowing air disinfectors.