Abstract Using the 1.32 $$\hbox {pb}^{-1}$$ pb - 1 statistics collected at the $$J/\psi $$ J / ψ peak with the KEDR detector at the VEPP-4M $$e^{+}e^{-\, }$$ e + e - collider, we measured the ...branching fractions of $$J/\psi $$ J / ψ meson decays to the final states 2( $$\pi ^{+}\pi ^{-})\pi ^{0}$$ π + π - ) π 0 , $$K^{+}K^{-}\pi ^{+}\pi ^{-}\pi ^{0}$$ K + K - π + π - π 0 , 2( $$\pi ^{+}\pi ^{-})$$ π + π - ) and $$K^{+}K^{-}\pi ^{+}\pi ^{-}$$ K + K - π + π - . The results obtained for the decays $$J/\psi \rightarrow $$ J / ψ → 2( $$\pi ^{+}\pi ^{-})\pi ^{0}$$ π + π - ) π 0 , $$J/\psi \rightarrow K^{+}K^{-}\pi ^{+}\pi ^{-}\pi ^{0}$$ J / ψ → K + K - π + π - π 0 contradict the measurements performed by other groups in the last century, but agree well with recent results of BABAR and BESIII collaborations.
Using the KEDR detector at the VEPP-4M e+e− collider, we have determined the values of R at thirteen points of the center-of-mass energy between 1.84 and 3.05 GeV. The achieved accuracy is about or ...better than 3.9% at most of the energy points with a systematic uncertainty less than 2.4%.
“Bumerang” Must Return to Earth Lomakin, I. V.; Pol, V. G.; Simonov, A. V. ...
Solar system research,
12/2020, Letnik:
54, Številka:
7
Journal Article
Recenzirano
The “Bumerang” space mission to the satellites of Mars is discussed. The purpose of the mission is to study the satellites and return of soil samples from Phobos to the Earth. The previous such ...missions to Mars are revisited. To increase the chances of success of the “Bumerang” mission, it is proposed to carry out a preemptive demo flight to a small asteroid, ahead of the mission. The goal of this flight is to test the technological version of the mission’s space complex while simultaneously obtaining scientific and applied information of independent and significant value. Results are presented of the studies on the outlook of the demo flight to the asteroid.
The technological factors and characteristics of milking technologies in a linear milking pipeline with tethered housing, on Europarallel equipment, and on a DeLaval VMS robot with loose housing ...affecting milk productivity and quality is analyzed. The technological chain of the main factors of milking technologies is investigated. The number of mechanical effects on milk, primary processing of milk on the farm (filtering, cooling), sanitation of milk transport, and level of hygiene on the farm and in the milking parlor are analyzed. A comparative evaluation of the quality of milk taken from tanks with various milking technologies is carried out. The lowest somatic cell count and bacterial contamination of milk are noted with robotic milking (on average, respectively 195600 cm³ and 6200 CFU/cm³). The change in milk productivity of cows across lactations with different milking technologies is investigated.
Aims
The aim of the present study was to investigate the composition of the intestinal microbiota during the acute stage of a bacterial infection to understand how dysbiosis of the gut may influence ...overall taxonomic hierarchy and diversity, and determine if there exists a bacterial taxon(s) that serve as markers for healthy or diseased rainbow trout (Oncorhynchus mykiss).
Methods and Results
From July to September 2015, 29 specimens of 3‐year‐old (an average weight from 240·9 ± 37·7 to 850·7 ± 70·1 g) rainbow trout O. mykiss were studied. Next‐generation high‐throughput sequencing of the 16S ribosomal RNA genes was applied to stomach and intestinal samples to compare the impact of infection status on the microbiota of rainbow trout O. mykiss (Walbaum) from the northwest part of Eurasia (Karelian region, Russia). The alpha diversity (Chao1, Simpson and Shannon index) of the microbial community of healthy rainbow trout was significantly higher than in unhealthy fish. The greatest contribution to the gut microbial composition of healthy fish was made by OTU's belonging to Bacillus, Serratia, Pseudomonas, Cetobacterium and Lactobacillus. Microbiota of unhealthy fish in most cases was represented by the genera Serratia, Bacillus and Pseudomonas. In microbiota of unhealthy fish there were also registered unique taxa such as bacteria from the family Mycoplasmataceae and Renibacterium. Analysis of similarities test revealed the significant dissimilarity between the microbiota of stomach and intestine (P ≤ 0·05).
Conclusions
A substantial finding was the absence of differences between microbial communities of the stomach and intestine in the unhealthy groups if compared with healthy fish.
Significance and Impact of the Study
These results demonstrated alterations of the gut microbiota of farmed rainbow trout, O. mykiss during co‐infections and can be useful for the development of new strategies for disease control programs.
Using the KEDR detector at the VEPP-4M e+e− collider, we have measured the values of Ruds and R at seven points of the center-of-mass energy between 3.12 and 3.72 GeV. The total achieved accuracy is ...about or better than 3.3% at most of energy points with a systematic uncertainty of about 2.1%. At the moment it is the most accurate measurement of R(s) in this energy range.
Aims
The aim of this work was to study the gut microbial diversity from eight species of wild fish with different feeding habits, digestive physiology (gastric vs agastric) and provide comparative ...structural analysis of the microbial communities within their environment (food items, water, sediments and macrophytes).
Methods and Results
The microbiota of fish gut and their prey items were studied using next generation high‐throughput sequencing of the 16S ribosomal RNA genes. A scatter plot based on PCoA scores demonstrated the microbiota formed three groups: (i) stomach and intestinal mucosa (IM), (ii) stomach and intestinal content (IC), and (iii) prey and environment. Comparisons using ANOSIM showed significant differences among IC of omnivorous, zoobenthivorous, zooplanktivorous‐piscivorous fishes (P ≤ 0·1). No significant difference was detected for mucosa from the same groups (P > 0·1).
Conclusions
Neither the interspecies differences in fish diet nor their phylogenetic position had any effect on the microbiome of the IM, but diet did influence the composition of the microbiota of the IC.
Significance and Impact of the Study
The data demonstrate that fish harboured specific groups of bacteria that do not completely reflect the microbiota of the environment or prey.
High-porous SiC ceramics (density 0.50–0.58 g/cm
3
, porosity 82–84 %, compressive stress at break 3.7–6.3 MPa) was prepared by means of polymeric technology and natural raw material (diatomite ...powder, “Biosilica” grade) at the temperature of carbothermal synthesis (1400 °C). It was shown that the main phase was silicon carbide with a small (<5 %) impurity of FeSi; SiC crystallite size was found to be 23–30 nm. Using scanning electron microscopy, X-ray computerized microtomography, and dynamic light scattering in aqueous suspensions of powders obtained at ultrasonic exposure, it was shown that SiC nanoparticles in the samples were aggregated to a great extent. The degree of aggregation strongly depends on SiO
2
-C ratio in the starting samples.
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