档案库房虫害与霉变防治研究

本文以档案库房虫害与霉变防治为研究对象,根据害虫与霉变微生物的生活习性,提出档案库房虫害与霉变防治应坚持"以防为主、防治结合""虫害与霉变共同防治""以常规预防和物理防治为主、化学防治为辅"原则,以及从常规预防、物理防治和化学防治三个角度提出档案库房虫害与霉变防治建议。

Case study on stratospheric and mesospheric concentric gravity waves generated by deep convection

Concentric gravity waves(CGWs)in the middle and upper atmosphere show wave-coupling processes between the lower atmosphere and the middle and upper atmosphere.In this research,we analyzed a case of CGWs detected simultaneously by the AIRS(Atmospheric Infrared Sounder)and the VIIRS/DNB(Day/Night Band of the Visible Infrared Imager Radiometer Suite)in the stratosphere and mesosphere.Results showed that gravity waves(GWs)were generated by the collocated Hurricane Bejisa on the island of Mauritius.The AIRS data showed arc-like phase fronts of GWs with horizontal wavelengths of 190 and 150 km at 21:08 coordinated universal time(UTC)on 1 January 2014 and at 10:00 UTC on 2 January 2014,whereas the DNB observed arced GWs with horizontal wavelengths of 60 and 150 km in the same geographic regions at 22:24 UTC.The characteristics of CGW parameters in the stratosphere(~40 km)and the mesosphere(~87 km),such as the vertical wavelength,intrinsic frequency,and intrinsic horizontal phase speed,were first derived together with the background winds from ERA5 reanalysis data and Horizontal Wind Model data through the dispersion relationship of GWs and the wind-filtering theory.

The sensitivity of numerical simulation to vertical mixing parameterization schemes: a case study for the Yellow Sea Cold Water Mass

The vertical mixing parameterization scheme,by providing the eff ects of some explicitly missed physical processes and more importantly closing the energy budgets,is a critical model component and therefore imposes signifi cant impacts on model performance.The Yellow Sea Cold Water Mass(YSCWM),as the most striking and unique phenomenon in the Yellow Sea during summer,is dramatically aff ected by vertical mixing process during its each stage and therefore seriously sensitive to the proper choice of parameterization scheme.In this paper,a hindcast of YSCWM in winter of 2006 was implemented by using the Regional Ocean Modeling System(ROMS).Three popular parameterization schemes,including the level 2.5 Mellor-Yamada closure(M-Y 2.5),Generic Length Scale closure(GLS)and K-Profi le Parameterization(KPP),were tested and compared with each other by conducting a series of sensitivity model experiments.The infl uence of diff erent parameterization schemes on modeling the YSCWM was then carefully examined and assessed based on these model experiments.Although reasonable thermal structure and its seasonal variation were well reproduced by all schemes,considerable diff erences could still be found among all experiments.A warmer and spatially smaller simulation of YSCWM,with very strong thermocline,appeared in M-Y 2.5 experiment,while a spatially larger YSCWM with shallow mixed layer was found in GLS and KPP schemes.Among all the experiments,the discrepancy,indicated by core temperature,appeared since spring,and grew gradually by the end of November.Additional experiments also confi rmed that the increase of background diff usivity could eff ectively weaken the YSCWM,in either strength or coverage.Surface wave,another contributor in upper layer,was found responsible for the shrinkage of YSCWM coverage.The treatment of wave eff ect as an additional turbulence production term in prognostic equation was shown to be more superior to the strategy of directly increasing diff usivity for a coastal region.

Advances in the pathogenesis and treatment of cognitive dysfunction after radiation therapy

Radiation therapy is an important part of the comprehensive treatment of brain tumors and one of the most effective treatment methods.However,brain inju-ry is a serious complication.In regards to long-term brain injury caused by radiation therapy,cognitive dysfunction is the most common and serious.As the treatment of brain tumors improves,the survival time of patients with malig-nant brain tumors is significantly prolonged and the prob-ability of cognitive dysfunction after radiation therapy is increased.Eliminating the delayed side effects caused by radiation therapy will significantly improve the quality of life of patients with malignant brain tumor and reduce the social burden.Therefore,the study of the pathogene-sis and treatment of cognitive dysfunction after radiation therapy is of great significance.This review focuses on the pathogenesis and treatment of cognitive dysfunction after radiation therapy.

TRIB3 promotes pulmonary fibrosis through inhibiting SLUG degradation by physically interacting with MDM2

Pulmonary fibrosis(PF)is the pathological structure of incurable fibroproliferative lung diseases that are attributed to the repeated lung injury-caused failure of lung alveolar regeneration(LAR).Here,we report that repetitive lung damage results in a progressive accumulation of the transcriptional repressor SLUG in alveolar epithelial type II cells(AEC2s).The abnormal increased SLUG inhibits AEC2s from self-renewal and differentiation into alveolar epithelial type I cells(AEC1s).We found that the elevated SLUG represses the expression of the phosphate transporter SLC34A2 in AEC2s,which reduces intracellular phosphate and represses the phosphorylation of JNK and P38 MAPK,two critical kinases supporting LAR,leading to LAR failure.TRIB3,a stress sensor,interacts with the E3 ligase MDM2 to suppress SLUG degradation in AEC2s by impeding MDM2-catalyzed SLUG ubiquitination.Targeting SLUG degradation by disturbing the TRIB3/MDM2 interaction using a new synthetic staple peptide restores LAR capacity and exhibits potent therapeutic efficacy against experimental PF.Our study reveals a mechanism of the TRIB3—MDM2—SLUG—SLC34A2 axis causing the LAR failure in PF,which confers a potential strategy for treating patients with fibroproliferative lung diseases.

Combined prediction of rockburst based on multiple factors and stacking ensemble algorithm

Rockburst is a kind of common geological disaster in deep tunnel engineering.It has the characteristics of causing great harm and occurring at random locations and times.These characteristics seriously affect tunnel construction and threaten the physical and mental health and safety of workers.Therefore,it is of great significance to study the tendency of rockburst in the early stage of tunnel survey,design and construction.At present,there is no unified method and selected parameters for rockburst prediction.In view of the large difference of different rockburst criteria and the imbalance of rockburst database categories,this paper presents a two-step rockburst prediction method based on multiple factors and the stacking ensemble algorithm.Considering the influence of rock physical and mechanical parameters,tunnel face conditions and excavation disturbance,multiple rockburst criteria are predicted by integrating multiple machine learning algorithms.A combined prediction model of rockburst criteria is established,and the results of each rockburst criterion index are weighted and combined,with the weight updated using the field rockburst record.The dynamic weight is combined with the cloud model to comprehensively evaluate the regional rockburst risk.Field results from applying the model in the Grand Canyon tunnel show that the rockburst prediction method proposed in this paper has better applicability and higher accuracy than the single rockburst criterion.

Numerical modeling of the seasonal circulation in the coastal ocean of the Northern South China Sea

The Finite Volume Community Ocean Model(FVCOM)was adapted to the Northern South China Sea(NSCS)to investigate the seasonality of coastal circulation,as well as along-shelf and cross-shelf transport.In fall and winter,southwestward current dominates the NSCS shelf,while the currenfs direction shifts to northeast in summer.The circulation pattern in spring is more complicated:both southwestward and northeastward currents are detected on the NSCS shelf.The mean shelf circulation pattern in winter does not show the permanent counter-wind South China Sea Warm Current(SCSWC)along the 100-200 m isobaths.Meanwhile,the model results indicate a northeastward current flowing along 50-100 m isobaths in spring.Southwestward along-shelf transport varies from 0.30-1.93 Sv in fall and winter,and it redirects to northeast in summer ranging jfrom 0.44—1.09 Sv.Onshore transport is mainly through the shelf break segment southeast of the Pearl River Estuary.

Air flow and gas dispersion in the forced ventilation of a road tunnel during construction

Forced ventilation is typically used in the construction of tunnels since it is an economical method to provide high amounts of fresh air.Air velocity and pollutant concentration near the work face are determined by the ventilation arrangement.In the study,field measurement of air velocity was performed,and computational fluid dynamics(CFD)models were constructed to investigate airflow near the work face and predict the gas distribution in a gas tunnel construction.The effects of the distance between the air duct exit and the work face(L_(1))were evaluated by analyzing the flow field and pollutant concentration.The evaluation shows that the ventilation efficiency improves if L_(1) does not exceed 15 m in a road tunnel with full-face excavation.With respect to a road tunnel with benching excavation,the effects of bench length(L_(2))are analyzed,and the results of the analysis indicate that ventilation efficiency is optimal when L_(2)=5 m and L_(2)=10 m and the air-duct diameter corresponds to 1.6 m.The CFD results fit the field measurement significantly well,and the current ventilation system in the construction exhibits a relatively high efficiency.The findings of the study aid practitioners in optimizing ventilation efficiency.