Microbial reduction and precipitation of vanadium (V) in groundwater by immobilized mixed anaerobic culture

Vanadium is an important contaminant impacted by natural and industrial activities. Vanadium (V) reduction efficiency as high as 87.0% was achieved by employing immobilized mixed anaerobic sludge as inoculated seed within 12 h operation, while V(IV) was the main reduction product which precipitated instantly. Increasing initial V(V) concentration resulted in the decrease of V(V) removal efficiency, while this index increased first and then decreased with the increase of initial COD concentration, pH and conductivity. High-throughput 16S rRNA gene pyrosequencing analysis indicated the decreased microbial diversity. V(V) reduction was realized through dissimilatory reduction process by significantly enhanced Lactococcus and Enterobacter with oxidation of lactic and acetic acids from fermentative microorganisms such as the enriched Paludibacter and the newly appeared Acetobacterium, Oscillibacter. This study is helpful to detect new functional species for V(V) reduction and constitutes a step ahead in developing in situ bioremediations of vanadium contamination. (C) 2015 Elsevier Ltd. All rights reserved.National Natural Science Foundation of China (NSFC) [41440025, 21307117]; Beijing Excellent Talent Training Project [2013D009015000003]; Beijing Higher Education Young Elite Teacher Project [YETP0657]SCI(E)[email protected]

A Novel Postbiotic From Lactobacillus rhamnosus GG With a Beneficial Effect on Intestinal Barrier Function

It has long been known that probiotics can be used to maintain intestinal homeostasis and treat a number of gastrointestinal disorders, but the underlying mechanism has remained obscure. Recently, increasing evidence supports the notion that certain probiotic-derived components, such as bacteriocins, lipoteichoic acids, surface layer protein and secreted protein, have a similar protective role on intestinal barrier function as that of live probiotics. These bioactive components have been named ‘postbiotics’ in the most recent publications. We previously found that the Lactobacillus rhamnosus GG (LGG) culture supernatant is able to accelerate the maturation of neonatal intestinal defense and prevent neonatal rats from oral Escherichia coli K1 infection. However, the identity of the bioactive constituents has not yet been determined. In this study, using liquid chromatography-tandem mass spectrometry analysis, we identified a novel secreted protein (named HM0539 here) involved in the beneficial effect of LGG culture supernatant. HM0539 was recombinated, purified, and applied for exploring its potential bioactivity in vitro and in vivo. Our results showed that HM0539 exhibits a potent protective effect on the intestinal barrier, as reflected by enhancing intestinal mucin expression and preventing against lipopolysaccharide (LPS)- or tumor necrosis factor α (TNF-α)-induced intestinal barrier injury, including downregulation of intestinal mucin (MUC2), zonula occludens-1 (ZO-1) and disruption of the intestinal integrity. Using a neonatal rat model of E. coli K1 infection via the oral route, we verified that HM0539 is sufficient to promote development of neonatal intestinal defense and prevent against E. coli K1 pathogenesis. Moreover, we further extended the role of HM0539 and found it has potential to prevent dextran sulfate sodium (DSS)-induced colitis as well as LPS/D-galactosamine-induced bacterial translocation and liver injury. In conclusion, we identified a novel LGG postbiotic HM0539 which exerts a protective effect on intestinal barrier function. Our findings indicated that HM0539 has potential to become a useful agent for prevention and treatment of intestinal barrier dysfunction- related diseases

Search for gravitational-lensing signatures in the full third observing run of the LIGO-Virgo network

Gravitational lensing by massive objects along the line of sight to the source causes distortions of gravitational wave-signals; such distortions may reveal information about fundamental physics, cosmology and astrophysics. In this work, we have extended the search for lensing signatures to all binary black hole events from the third observing run of the LIGO--Virgo network. We search for repeated signals from strong lensing by 1) performing targeted searches for subthreshold signals, 2) calculating the degree of overlap amongst the intrinsic parameters and sky location of pairs of signals, 3) comparing the similarities of the spectrograms amongst pairs of signals, and 4) performing dual-signal Bayesian analysis that takes into account selection effects and astrophysical knowledge. We also search for distortions to the gravitational waveform caused by 1) frequency-independent phase shifts in strongly lensed images, and 2) frequency-dependent modulation of the amplitude and phase due to point masses. None of these searches yields significant evidence for lensing. Finally, we use the non-detection of gravitational-wave lensing to constrain the lensing rate based on the latest merger-rate estimates and the fraction of dark matter composed of compact objects

Search for eccentric black hole coalescences during the third observing run of LIGO and Virgo

Despite the growing number of confident binary black hole coalescences observed through gravitational waves so far, the astrophysical origin of these binaries remains uncertain. Orbital eccentricity is one of the clearest tracers of binary formation channels. Identifying binary eccentricity, however, remains challenging due to the limited availability of gravitational waveforms that include effects of eccentricity. Here, we present observational results for a waveform-independent search sensitive to eccentric black hole coalescences, covering the third observing run (O3) of the LIGO and Virgo detectors. We identified no new high-significance candidates beyond those that were already identified with searches focusing on quasi-circular binaries. We determine the sensitivity of our search to high-mass (total mass M>70 M⊙) binaries covering eccentricities up to 0.3 at 15 Hz orbital frequency, and use this to compare model predictions to search results. Assuming all detections are indeed quasi-circular, for our fiducial population model, we place an upper limit for the merger rate density of high-mass binaries with eccentricities 0<e≤0.3 at 0.33 Gpc−3 yr−1 at 90\% confidence level

Ultralight vector dark matter search using data from the KAGRA O3GK run

Among the various candidates for dark matter (DM), ultralight vector DM can be probed by laser interferometric gravitational wave detectors through the measurement of oscillating length changes in the arm cavities. In this context, KAGRA has a unique feature due to differing compositions of its mirrors, enhancing the signal of vector DM in the length change in the auxiliary channels. Here we present the result of a search for U(1)B−L gauge boson DM using the KAGRA data from auxiliary length channels during the first joint observation run together with GEO600. By applying our search pipeline, which takes into account the stochastic nature of ultralight DM, upper bounds on the coupling strength between the U(1)B−L gauge boson and ordinary matter are obtained for a range of DM masses. While our constraints are less stringent than those derived from previous experiments, this study demonstrates the applicability of our method to the lower-mass vector DM search, which is made difficult in this measurement by the short observation time compared to the auto-correlation time scale of DM

Therapeutic Effect of Nisin Z on Subclinical Mastitis in Lactating Cows▿

Bovine subclinical mastitis is an inflammation of the mammary gland caused by bacterial intramammary infection, accounting for large economic losses. Treatment of subclinical mastitis is not suggested for lactating cows due to the risk of milk contamination. The objectives of this study were to evaluate an antimicrobial peptide, nisin, in the treatment of subclinical mastitis in lactating cows. A total of 90 lactating Holstein cows with subclinical mastitis were randomly divided into nisin-treated (n = 46) and control (n = 44) groups. In the nisin-treated group, cows received an intramammary infusion of nisin at a dose of 2,500,000 IU once daily for 3 days while the control cows received no treatment. Milk samples were collected from the affected mammary quarters before treatment and 1 and 2 weeks after treatment for analyses of bacteria, somatic cells, and N-acetyl-β-d-glucosaminidase (NAGase). Results indicated that nisin therapy had bacteriological cure rates of 90.1% for Streptococcus agalactiae (10 of 11), 50% for Staphylococcus aureus (7 of 14), 58.8% for coagulase-negative staphylococci (7 of 17), and 65.2% for all cases (30 of 46). Meanwhile, only 15.9% (7 of 44) of untreated cows spontaneously recovered. NAGase activity in milk samples and the number of mammary quarters with a milk somatic cell count of ≥500,000/ml were significantly decreased after nisin treatment while no significant changes took place in the control group. Because of its therapeutic effects on bovine subclinical mastitis, as well as its safety in humans, nisin deserves further study to clarify its effects on mastitis caused by different pathogens

Effects of Crisis Response Tone and Spokesperson's Gender on Employer Attractiveness

Timely apologies to key publics on social media are becoming an important aspect of crisis recovery but little is known of how the spokesperson’s characteristics and the tone of apology may influence the outcome. Recognising the importance of the need to attract quality workforce, this study examines the impact of social media response to a preventable crisis on organisational attractiveness. Specifically, a 2 (message tone: corporate/formal vs. human/informal) x 2 (spokesperson’s gender: male vs. female) between-subjects factorial design was used to test the effectiveness of an apology. The results suggest a significant moderated mediation effect. We find that account acceptance mediates the relationship between message tone and organisational attractiveness, and this effect is conditional on gender of the spokesperson. The results are relevant to crisis managers and brand managers that seek to attract and retain talents

A Novel Hybrid PSO Identification Method Simultaneously Estimate Model Parameter and the Structure

Abstract: Estimate model parameter and the structure simultaneously is a crucial and challenging problem in system identification. For solving the problem, a hybrid algorithm by integrating two-order oscillating particle swarm optimization with successive quadratic programming is proposed in this paper. The two-order oscillating particle swarm optimization is showed to converge rapidly to a near optimum solution, but the search process will become very slow around global optimum. On the contrary, successive quadratic programming is weak to escape local optimum but the ability of convergent speed around global optimum and the convergent accuracy is strong. In this case, the two-order oscillating particle swarm optimization is used to enhance global search ability and convergence speed of algorithm. When the change in fitness value is smaller than a threshold value, the searching process is switched to successive quadratic programming. In this way, this hybrid algorithm may find an optimum solution more accurately. To validate the performance of the proposed approach, it is evaluated on four optimal control problems. Results demonstrate the effectiveness and accuracy of the proposed algorithm

HPSO Algorithm with High Speed Convergent based on Particle Health Degree

Standard particle swarm optimization algorithm has two drawbacks in engineering application when particles dimension was high; first is premature convergent and second is low convergent speed. Counting these drawbacks we proposed a novel algorithm with high convergent speed in high dimensional search place based on particle health degree, and we provided particle health degree concept and computation method. The algorithm through dynamic monitoring particle health when the particle health value was lower than given threshold value, we separately use mutation operation on these particles. This method can not only protect the health particles keep searching the optimum value but also therapy the ill-health particles and enhance the ability of searching optimum value and jumping out the local optimum. We used many benchmark functions to test our algorithm, and compete with Standard PSO algorithm and nonlinear inertia weight variation (WPSO). Test results show that the algorithm we proposed has higher convergent speed and searching efficiency