3D printed lactic acid bacteria hydrogel:cell release kinetics and stability

In this study,a new type of 3 D printed living biological hydrogel was developed by integrating lactic acid bacteria(LAB)into biocompatible and non-toxic polymer materials.Interestingly,the living materials loaded with LAB can be freeze-dried and reused for more than 100 times.The bio-hydrogel can be used to co-culture different LAB and keep its fermentation performance stable in long-term use.The release kinetics model and response surface method were used to simulate and optimize the bacteria release mode in the bio-hydrogel.The results show that the release of bacteria from hydrogel is regulated by the coupling of Fickian diffusion and polymer swelling.The stability of LAB hydrogel was evaluated by reuse experiments.The images of confocal microscopy and scanning electron microscope showed that the bacteria with high cell viability were distributed in the hydrogel and intact structure of the living hydrogel was maintained after 100 times of reuse as yoghurt starter.In conclusion,the 3 D printed LAB bio-hydrogel developed in this study has the advantage of reuse and sustainability,which is expected to open up a new way for the preparation of food culture starter.

医护一体化工作模式在提升血液科病房护理质量中的应用研究

目的探讨医护一体化工作模式对提升病房护理质量的影响。方法选择我院血液科病房为试点科室,推行医护一体化工作模式,比较实施前后收治的前3位血液病病种的平均住院日、平均住院费用、患者和医生对护理服务的满意度、护士的批判性思维能力。结果实施后,前3位血液病病种的平均住院日、人均住院费用均低于实施前(P<0.05);患者和医生对护理服务的满意度、护士的批判性思维能力也比实施前显著提升(P<0.05)。结论医护一体化工作模式能有效提升医护工作效率和质量,缩短患者住院时间,降低住院费用,提升医生和患者对护理工作的满意度,提升护士临床思维和专业能力。

Improvement in bioconversion efficiency and reduction of ammonia emission by introduction of fruit fermentation broth in a black soldier fly larvae and kitchen waste conversion system

The black soldier fly(BSF),Hermetia illucens(Diptera:Stratiomyidae),is an insect commonly used for the bioconversion of various organic wastes.Not only can the BSF convert organic waste into macromolecular organic substances,such as insect pro-teins,but it can also lessen the pollution associated with these waste products by reducing ammonia emissions,for example.In this study,we measured the effects of adding fruit fermentation broth(Fer)and commercial lactic acid bacteria fermentation broth(Em)to kitchen waste(KW),as deodorizing auxiliary substances,on the growth performance of black soldier fly larvae(BSFL),the intestinal flora structure of BSFL,the ammonia emis-sion from the KW substrate,and the microbial community structure of the KW substrate.We found that the addition of Fer or Em increased the body weight of BSFL after 6 d of culture,increasing the growth rate by 9.96%and 7.96%,respectively.The addition of Fer not only reduced the pH of the KW substrate but also increased the relative abundance of probiotics,such as Lactobacillus,Lysinibacillus,and Vagococcus,which inhibited the growth of ammonifiers such as Bacillus,Oligella,Paenalcaligenes,Paenibacillus,Pseu-dogracilibacillus,and Pseudomonas,resulting in the reduction of ammonia emission in the KW substrate.Moreover,the addition of Fer or Em significantly increased the rela-tive abundances of Bacteroides,Campylobacter,Dysgonomonas,Enterococcus,and Ig-natzschineria in the gut of BSFL and increased the species diversity and richness in the K W substrate.Our findings provide a novel way to improve the conversion rate of organic waste and reduce the environmental pollution caused by BSF.

Metabolomics provide insights into the endogenous mechanism of strobilation in the scyphozoan jellyfi sh Rhopilema esculentum

Strobilation is a well-organized metamorphosis process in scyphozoan jellyfi sh,through which the benthic polyp develops into the pelagic medusa.So far,knowledge on the molecular mechanisms behind the drastic morphological and physiological changes remains limited.In the present study,the metabolic profi les in polyp and strobila stages of jellyfi sh Rhopilema esculentum were examined using ultra-performance liquid chromatography coupled to a mass spectrometer.A total of 3071 metabolites with putative annotation were detected,of which 167 were identifi ed as diff erential metabolites between the polyp and strobila.Among the metabolites,31 signifi cantly decreased and 136 signifi cantly increased in abundance in the strobila.Thyroxin,one of the previously proposed strobilation inducer of Aurelia,was not detected in this study.The indole-containing compounds are known for triggering strobilation in Discomedusae.Two indole derivatives and an indole-isomer containing metabolite were detected among the most signifi cantly increased metabolites,which may be potential endogenous molecules for strobilation initiation.The membrane-associated phospholipids and the infl ammation and oxidative stress-related eicosanoids were found to have signifi cant changes.Although the functions of these metabolites in strobilation are not yet completely known,they provide some clues to the induction of the process of strobilation and metabolic responses that take place during strobilation.

Highly efficient excitation of LP01 mode in ring-core fibers by tapering for optimizing OAM generation

We have demonstrated the highly efficient excitation of the linearly polarized mode(LP01)in ring-core fibers(RCFs)by tapering the spliced point between the RCF and the standard single-mode fiber(SMF)to optimize all-fiber orbital angular momentum(OAM)generation.The tapering technique has been investigated theoretically and experimentally.Before tapering,only 50%of light can be coupled from SMFs to RCFs.The modal interference spectrum with an extinction ratio(ER)of～9 dB is observed,showing that higher-order modes are excited in RCF.By tapering the spliced point,90%of light is coupled,and the ER is minimized to be～2 dB,indicating that the higher-order modes are effectively suppressed by tapering.Such tapered spliced points of RCF–SMF are further applied for all-fiber OAM generation.The efficiencies of OAM+1 and OAM?1 generation are found to be enhanced by approximately 11.66%and 12.41%,respectively,showing that the tapered spliced point of the RCF–SMF is a feasible way to optimize OAM generation.

Elevated atmospheric CO_(2) impact on carbon and nitrogen transformations and microbial community in replicated wetland

Background:Elevated atmospheric CO_(2) has direct and indirect influences on ecosystem processes.The impact of elevated atmospheric CO_(2) concentration on carbon and nitrogen transformations,together with the microbial community,was evaluated with water hyacinth(Eichhornia crassipes)in an open-top chamber replicated wetland.The responses of nitrogen and carbon pools in water and wetland soil,and microbial community abundance were studied under ambient CO_(2) and elevated CO_(2)(ambient+200μL L^(−1)).Results:Total biomass for the whole plant under elevated CO_(2) increased by an average of 8%(p=0.022).Wetlands,with water hyacinth,showed a significant increase in total carbon and total organic carbon in water by 7%(p=0.001)and 21%(p=0.001),respectively,under elevated CO_(2) compared to that of ambient CO_(2).Increase in dissolved carbon in water correlates with the presence of wetland plants since the water hyacinth can directly exchange CO_(2) from the atmosphere to water by the upper epidermis of leaves.Also,the enrichment CO_(2) showed an increase in total carbon and total organic carbon concentration in wetland soil by 3%(p=0.344)and 6%(p=0.008),respectively.The total nitrogen content in water increased by 26%(p=0.0001),while total nitrogen in wetland soil pool under CO_(2) enrichment decreased by 9%(p=0.011)due to increased soil microbial community abundance,extracted by phospholipid fatty acids,which was 25%larger in amount than that of the ambient treatment.Conclusion:The study revealed that the elevated CO_(2) would affect the carbon and nitrogen transformations in wetland plant,water,and soil pool and increase soil microbial community abundance.

Center-based clustering of categorical data using kernel smoothing methods

1 Introduction Currently, categorical data are world applications, particularly widely used in many realin the biomedical and social sciences. Unlike the numeric case, when the data are cate- gorical, choosing the appropriate similarity or dissimilarity measure between two different categorical objects became a difficult task for many applications. What＇s more, in this case, the set mean, i.e., the averaging value of a finite set of data objects, is an undefined concept. This means that the well known K-means [ 1 ] and its numerous variants cannot be directly used for center-based clustering of categorical data.