Vertical and horizontal displacements of a reservoir slope due to slope aging effect,rainfall,and reservoir water

Landslides are common hazards in reservoir areas and significantly affect dam operation and human lives.For the prevention and management of landslides,accurate assessment of the factors influencing their generation is essential.This study evaluated the key external factors influencing horizontal and vertical displacements of Luobogang Reservoir Slope in Hanyuan County,China.Displacements had been monitored by a surface-displacement-monitoring system consisting of 118 GPS stations during 2012-2015.To identify the external driving factors,their influence zones,and slope responses,we analyzed 32 months of displacement measurements and other multi-source datasets using the empirical orthogonal function.Overall,the results show that slope aging effect,rainfall,and reservoir water levels are three main driving factors.For horizontal displacement,aging effect is the most critical factor and predominantly affects the edges of landslides,the gob cave,and the public building zones.The secondary factor is the reservoir water level,which mainly acts on the boundary between the slope and reservoir water surface.The closer the slope zone is to the reservoir water,the more significant the impact is.Regarding vertical displacement,the most important factor is rainfall.The vertical displacement caused by rainfall accounts for 56.76% of the total vertical displacements.However,rainfall induces elastic displacements that generally cause less damage to the slope.The secondary factor is aging effect,and the vertical displacement caused by aging effect accounts for 9.42%.However,seven individual zones are highly affected by slope aging effect,which is consistent with the distribution of public buildings.

Enzymatic kinetics ofβ-conglycinin using alkaline protease from Bacillus subtilis ACCC 01746 and analysis of antigenicity of hydrolyzed peptide

β-Conglycinin,the main protein of soybean,is a key allergen that causes soybean allergies,and hydrolysis is usually applied to lower its antigenicity.We evaluated the enzymolysis characters ofβ-conglycinin from the perspective of enzymolysis kinetics using alkaline protease from B.subtilis ACCC 01746.A dynamic model describing the hydrolysis ofβ-conglycinin was proposed using the initial substrate concentration,enzyme dosage(enzyme to substrate ratio)and hydrolysis time as variables to illustrate the kinetic behavior of enzymatic hydrolysis.The hydrolysis of soybeanβ-conglycinin was carried out at 60 g/L protein concentration,0.6%enzyme dosage,55℃ and pH 8.5 to observe the peptides with anti-enzymatic activities.The hydrolysates were gradually fractionated by ultrafiltration through cut-off membranes with molecular weights of 40,30,20,and 10 kDa,and their antigenicities were evaluated using indirect competitive enzyme-linked immunosorbent assay.The results showed that the degree of hydrolysis(DH)ofβ-conglycinin decreased as theβ-conglycinin concentration(S0)increased,but increased with enzyme dosage(E0)increasing.Thus,the enzymatic hydrolysis ofβ-conglycinin followed the first-order kinetics model.The hydrolysis rate(V)was(527.89C_(E0)-2.5533C_(S0))exp(-0.022DH),the DH-hydrolysis time was 45.454ln[1+(11.614C_(E0)/C_(S0)-0.0562)t],and the correlated kinetic constants k2 and kd were 527.89 min^(−1)and 8.6126 min^(−1),respectively.The hydrolysis behavior ofβ-conglycinin varied considerably among theα',α,andβsubunits.Faster hydrolysis rates were observed for theα'andαsubunits compared to theβsubunit.The relative molecular weights of the intercepted peptides from the hydrolysates were 14.8-40.1 kDa,and the antigenicity of the peptides with smaller molecular weight was reduced,but not removed completely.However,the alkaline protease from the strain appeared to effectively reduce the allergenicity ofβ-conglycinin.Therefore,it is possible to produce less allergenic soybean proteins using enzymatic hydrolysis.Additionally,the microbial alkaline protease may serve as a potential novel food enzyme and should be evaluated for the development of hypoallergenic foods.

Multiomics analysis reveals metabolic subtypes and identifies diacylglycerol kinase α (DGKA) as a potential therapeutic target for intrahepatic cholangiocarcinoma

Background:Intrahepatic cholangiocarcinoma(iCCA)is a highly heteroge-neous and lethal hepatobiliary tumor with few therapeutic strategies.The metabolic reprogramming of tumor cells plays an essential role in the develop-ment of tumors,while the metabolic molecular classification of iCCA is largely unknown.Here,we performed an integrated multiomics analysis and metabolic classification to depict differences in metabolic characteristics of iCCA patients,hoping to provide a novel perspective to understand and treat iCCA.Methods:We performed integrated multiomics analysis in 116 iCCA samples,including whole-exome sequencing,bulk RNA-sequencing and proteome anal-ysis.Based on the non-negative matrix factorization method and the protein abundance of metabolic genes in human genome-scale metabolic models,the metabolic subtype of iCCA was determined.Survival and prognostic gene analy-ses were used to compare overall survival(OS)differences between metabolic subtypes.Cell proliferation analysis,5-ethynyl-2’-deoxyuridine(EdU)assay,colony formation assay,RNA-sequencing and Western blotting were performed to investigate the molecular mechanisms of diacylglycerol kinaseα(DGKA)in iCCA cells.Results:Three metabolic subtypes(S1-S3)with subtype-specific biomarkers of iCCA were identified.These metabolic subtypes presented with distinct prog-noses,metabolic features,immune microenvironments,and genetic alterations.The S2 subtype with the worst survival showed the activation of some special metabolic processes,immune-suppressed microenvironment and Kirsten ratsar-coma viral oncogene homolog(KRAS)/AT-rich interactive domain 1A(ARID1A)mutations.Among the S2 subtype-specific upregulated proteins,DGKA was further identified as a potential drug target for iCCA,which promoted cell proliferation by enhancing phosphatidic acid(PA)metabolism and activating mitogen-activated protein kinase(MAPK)signaling.Conclusion:Viamultiomics analyses,we identified three metabolic subtypes of iCCA,revealing that the S2 subtype exhibited the poorest survival outcomes.We further identified DGKA as a potential target for the S2 subtype.

Novel detection approach for thermal defects:Study on its feasibility and application to vehicle cables

It is important to accurately assess the thermal defect state of equipment to ensure its safe operation.A novel thermal defect detection method called the square even-order derivative method is proposed.First,the derivative functions of temperature were constructed to investigate the main-side-peak characteristics of the derivative curve,and the mathematical expressions for the position,depth,intensity of the defects,and parameters of the derivative curve were deduced,which can be used to quantitatively detect the defects.Then,numerical and experimental analyses of an example case of defected epoxy resin plates were carried out to verify that thermal defects can be effectively and accurately detected by the proposed method.Finally,the method was applied to a vehicle cable to detect its thermal defects in another example case of defected vehicle cable,which preliminarily validated the feasibility of the proposed method in practical applications.

Investigation of natural ventilation performance of large space circular coal storage dome

Large space circular coal storage dome(LSCCSD)offers an environmental and dependable alternative to open stockpiles,and it has been consequently widely applied in China.However,due to the lack of scientific guidelines,its natural ventilation performance is lower than expected.Natural ventilation potential strongly depends on the roof geometry and opening mode,which have not yet been investigated for LSCCSD.This paper presents a detailed evaluation of the impact of dome geometry(rise span ratio),opening height,and opening modes on the ventilation performance of LSCCSD.The evaluation is based on computational fluid dynamics(CFD)methods and is validated by available wind tunnel testing.We employed three evaluation indicators,which are wind pressure coefficient,effective ventilation rate,and wind speed ratio.The results demonstrate that the rise span ratio has a significant effect on the wind pressure difference and the effective ventilation rate increases by approximately 9%–42%with a single-annular opening.When double-annular openings are set in a strong positive pressure zone,the effective ventilation rate increases by 100%and the average wind speed ratio increases by 50%.When it is compared with single one with similar opening height,the effective ventilation rate increases by 25%.The optimum natural ventilation performance for LSCCSD is achieved at a rise span ratio of 0.37.In addition,the lateral middle opening is kept higher than the ridge top of the coal pile.The proposed evaluation approach and design parameters provided instructive information in the building design and ventilation control for LSCCSDs.