Hengzongshu/ArticleAgent huggingface dataset:
Aim of the study was to evaluate the serum concentrations of three marker lysosomal hydrolases (cathepsin D, acid phosphatase (AP) and acid DNase (aDNAase)) in women with coronary heart disease (CHD) depending on the level of follicle-­stimulating hormone (FSH), testosterone (T), age and find if those parameters associated with anthropometric parameters, glycemia, insulinemia and HOMA-IR index, biomarkers of atherosclerosis. The study included 285 women aged 35–65 years (median age was 54.4 years (25% and 75% percentiles — 43.2 and 61.3 years, respectively) who had had myocardial infarction no earlier than 30 days before the examination. Patients were divided into the following age groups: 35–55 and 56–65 years (first and second age groups, respectively), and into groups according to the levels of sex hormones: FSH ≥ and <30 mIU/mL and testosterone ≥ and <3 nmol/L. Results of comparative and correlation analyzes demonstrates that in women 35–65 years old with FSH ≥30 mIU/mL, the levels of cathepsin D are higher (p<0.05) than in patients with FSH <30 mIU/mL, and in women 35–55 years old, the content of AP was also higher (p=0.025). Associations of a high level of androgen with lysosomal hyperenzymemia were demonstrated only in the second age group, where at a level of T ≥3 nmol/L, higher values of all three lysosomal enzymes were recorded. Multivariate analysis in both age groups is confirmed direct impact of periand postmenopausal periods on the levels of lysosomal enzymemia and, accordingly, a negative effect on the state of lysosomal membranes. Thus, FSH levels directly determined the concentrations of AP and cardiotropic cathepsin D. The levels of aDNAase in women with CHD of 56–65 years of age were positively correlated with indicators that determine insulin-­glucose homeostasis: glycemia (p<0.001), HOMA-IR index (p<0.001). Such associations of three marker lysosomal enzymes demonstrate the primary contribution of FSH ≥30 mIU/mL to an increase in the concentration of lysosomal hydrolases in women with CHD35–65 years old and the correlation of aDNAase with the processes triggered by insulin resistance.
The tagging system of the KEDR detector is a symmetrical focusing magnetic spectrometer for electrons and positrons scattered at small angles; it is embedded into the lattice of the VEPP-4M collider and intended for two-photon processes study.

It measures scattered electron energy with resolution Δ E/E0=0.03% ... 0.6% (E0 is the beam energy). For precise energy scale calibration two methods are used: tagging of bremsstrahlung electron/positron by the photon energy measured by BGO calorimeter, and direct calibration using Compton backscattering spectrum edge.

This report covers design and current status of the calibration system.
We measure the branching fraction of B−→τ−¯ντ using the full Υ(4S) data sample containing 772×106 B¯¯¯B pairs collected with the Belle detector at the KEKB asymmetric-energy e+e− collider. Events with B¯¯¯B pairs are tagged by reconstructing one of the B mesons decaying into hadronic final states, and B−→τ−¯ντ candidates are detected in the recoil. We find evidence for B−→τ−¯ντ with a significance of 3.0 standard deviations including systematic errors and measure a branching fraction B(B−→τ−¯ντ)=[0.72+0.27−0.25(stat)±0.11(syst)]×10−4.Received 16 November 2012DOI:https://doi.org/10.1103/PhysRevLett.110.131801© 2013 American Physical Society
Waterbody methane emissions per area are negatively correlated with the size of the emitting waterbody. Thus, ponds, defined here as having an area smaller than 8 · 10 4 m 2 , contribute out of proportion to the aquatic methane budget compared to the total area they cover and compared to other waterbodies. However, methane concentrations in and methane emissions from ponds show more spatial variability than larger waterbodies. We need to better understand this variability to improve upscaling estimates of freshwater methane emissions. In this regard, the Arctic permafrost landscape is an important region, which, besides carbon-rich soils, features a high pond density and is exposed to above-average climatic warming. We studied 41 polygonal-tundra ponds in the Lena River Delta, northeast Siberia. We collected water samples at different locations and depths in each pond and determined methane concentrations using gas chromatography. Additionally, we collected information on the key properties of the ponds to identify drivers of surface water methane concentrations. The ponds can be categorized into three geomorphological types with distinct differences in drivers of methane concentrations: polygonal-center ponds, ice-wedge ponds and larger merged polygonal ponds. All ponds are supersaturated in methane, but ice-wedge ponds exhibit the highest surface water concentrations. We find that ice-wedge ponds feature a strong stratification due to consistently low bottom temperatures. This causes surface concentrations to mainly depend on wind speed and on the amount of methane that has accumulated in the hypolimnion. In polygonal-center ponds, high methane surface concentrations are mostly determined by a small water depth. Apart from the influence of water depth on mixing speed, water depth controls the overgrown fraction, the fraction of the pond covered by vascular plants. The plants provide labile substrate to the methane-producing microbes. This link can also be seen in merged polygonal ponds, which furthermore show the strongest dependence on area as well as an anticorrelation to energy input indicating that stratification influences the surface water methane concentrations in larger ponds. Overall, our findings underpin the strong variability of methane concentrations in ponds. No single driver could explain a significant part of the variability over all pond types suggesting that more complex upscaling methods such as process-based modeling are needed.
We study equitable 2-partitions of the Johnson graphs J(n,w) with a quotient matrix containing the eigenvalue lambda_2(w,n) = (w-2)(n-w-2)-2 in its spectrum. For any w>=4 and n>=2w, we find all admissible quotient matrices of such partitions, and characterize all these partitions for w>=4, n>2w, and for w>=7, n = 2w, up to equivalence.
Measurements of b-hadron masses are performed with the exclusive decay modes B+ -> J/psi K+, B0 -> J/psi K*0, B0 -> J/psi K0S, B0_s -> J/psi phi and Lambda_b -> J/psi Lambda

using an integrated luminosity of 35 pb-1 collected in pp collisions at a centre-of-mass energy of 7 TeV by the LHCb experiment. The momentum scale is calibrated with J/psi -> mu+mu- decays and verified to be known to a relative precision of 2 x 10^-4 using other two-body decays

The results are more precise than previous measurements, particularly in the case of the B0_s and Lambda_b masses
It is shown that flame spread rate can be high and comparable with velocities of flame propagation in the stoichiometric homogeneous gas mixture. The flame spread rate depends on velocity of oxidizer. It can either increase or decrease with arise of oxidizer velocity, depending on the oxygen content. The flame surface is significantly distorted with increase in average flame spread rate. It is shown that the flame spread rate can be significant and comparable with the laminar burning velocity of the stoichiometric homogeneous gaseous mixture.
The paper is devoted to the first application of the SPH-IDIC method to simulation of three-dimensional dusty gas flow. The expansion of a sphere consisting of gas and monodisperse fine dust into vacuum is considered as a model problem.

Computing was carried out using graphic accelerators based on nVidia CUDA technology.

The numerical simulations show ability of the method to deal with three-dimensional dynamics. We found that in 3D case the method kept all the advantages previously demonstrated on one-dimensional problems: robustness, efficiency and simplicity in implementation.
The work continues the research performed by Chen and Toledo as a follow-up to Vaidya’s talk. The preconditioners being discussed are based on spanning tree algorithms where the input is the graph arising from the matrix of the system of linear algebraic equations (SLAE). The methods are considered in application to solving various SLAEs with real symmetric and non-symmetric matrices. The research shows that the application area of the preconditioners in question may significantly differ from the domain indicated in the literature.
The article presents the results of the correlation and cluster analysis of the relationship of grain productivity with morphobiological and agronomic traits in the breeding of forage spring hexaploid triticale varieties.

Evaluation of the matrix of paired phenotypic correlations made it possible to determine the elements of the yield structure necessary to increase the efficiency of selection for individual traits and increase plant productivity.

The results of many years of research made it possible to identify agronomic valuable samples of spring triticale. These samples are of interest as a starting material for practical breeding in the West Siberian region.
Hundreds of millions of people worldwide are infected by various species of parasitic flatworms. Without treatment, acute and chronical infections frequently lead to the development of severe pathologies and even death. Emerging data on a decreasing eff iciency of some important anthelmintic compounds and the emergence of resistance to them force the search for alternative drugs. Parasitic flatworms have complex life cycles, are laborious and expensive in culturing, and have a range of anatomic and physiological adaptations that complicate the application of standard molecular-biological methods. On the other hand, free-living flatworm species, evolutionarily close to parasitic flatworms, do not have the abovementioned diff iculties, which makes them potential alternative models to search for and study homologous genes. In this review, we describe the use of the basal free-living flatworm Macrostomum lignano as such a model. M. lignano has a number of convenient biological and experimental properties, such as fast reproduction, easy and non-expensive laboratory culturing, optical body transparency, obligatory sexual reproduction, annotated genome and transcriptome assemblies, and the availability of modern molecular methods, including transgenesis, gene knockdown by RNA interference, and in situ hybridization. All this makes M. lignano amenable to the most modern approaches of forward and reverse genetics, such as transposon insertional mutagenesis and methods of targeted genome editing by the CRISPR/Cas9 system. Due to the availability of an increasing number of genome and transcriptome assemblies of different parasitic flatworm species, new knowledge generated by studying M. lignano can be easily translated to parasitic f latworms with the help of modern bioinformatic methods of comparative genomics and transcriptomics. In support of this, we provide the results of our bioinformatics search and analysis of genes homologous between M. lignano and parasitic flatworms, which predicts a list of promising gene targets for subsequent research.
The article is devoted to the analysis of deportation practices in the USSR during the period of the Great Terror.A study of the departmental paper work of the NKVD and the materials of extrajudicial instances leads to the conclusion that during these years such kind of punishment as deportation from the country was widely used against foreigners.Deportations were implemented in two formats: through directives of the authorities and through out-of-court system.Some deportations of 1937-1938 represented independent repressive campaigns that coincided with the so-called "national" operations, others became their integral part.Deportations from the USSR as a type of punishment were used in the course of implementation of several "national" operations conducted by the NKVD of the USSR.The largest numbers of those deported out of the country gave the "Iranian", "German" and "Harbin"operations.In 1937-1938, the most massive evictions took place among Iranian and Chinese nationals.As many as 346 713 people became the victims of the "national" operations of the NKVD, of whom 9 212 foreigners were accused of espionage and expelled from the country.
The strength of construction materials when used under cyclic loads is of great importance in design engineering. A significant number of factors that affect the fatigue resistance have predetermined the creation of numerous methods that consider such influence. Nondestructive methods that are based on the connection of the physical degradation of material with strain properties enable evaluating experimentally the fatigue properties of materials.

The work experimentally investigates the physical processes of degradation of the VT6 and D16 alloy samples that accompany the process of fatigue failure in materials with homogeneous and inhomogeneous stress-strain states in the concentrator (in the form of a hole and a weld). Typical modes are used to reach the fatigue testing that determine the critical stress in a material sample – the stress at which physical properties (temperature, strain) change without reaching the fatigue failure of samples. Critical stress amplitudes in the cycle, based on the data obtained during the experiment and the results of mathematical simulation, are compared. The effect of stress concentrators on critical loads that a detail can withstand after a unit operation is estimated by the finite-element method (FEM). Mathematical simulation of the cyclic strain of the samples is carried out using MSC.Marc package.

As a result, the effect of the operational and technological factors on critical stress determined by strain and temperature is estimated. Comparative tests of the VT6 and D16 alloy samples with and without stress concentrators showed that the amplitudes of critical stress decrease by more than 30% in comparison with the ones that are without stress concentrators. The results of the cyclic loading tests, which show that the characteristics of the technological process reduce the amplitudes of the critical stress of the VT6 and D16 alloys and affect the fatigue properties of the D16 aluminum alloy, are discussed. Mathematical simulation corresponded positively to the experimental data. Such correspondence indicates the possibility of conducting qualitative numerical assessments of the beginning of the inelastic strain accumulation process in structures with stress concentrators under the cyclic stress and the increasing stress amplitude, using the typical sample made of hardening elastoplastic material.
Human NEIL2 DNA glycosylase (hNEIL2) is a base excision repair protein that removes oxidative lesions from DNA. A distinctive feature of hNEIL2 is its preference for the lesions in bubbles and other non-canonical DNA structures. Although a number of associations of polymorphisms in the hNEIL2 gene were reported, there is little data on the functionality of the encoded protein variants, as follows: only hNEIL2 R103Q was described as unaffected, and R257L, as less proficient in supporting the repair in a reconstituted system. Here, we report the biochemical characterization of two hNEIL2 variants found as polymorphisms in the general population, R103W and P304T. Arg103 is located in a long disordered segment within the N-terminal domain of hNEIL2, while Pro304 occupies a position in the β-turn of the DNA-binding zinc finger motif. Similar to the wild-type protein, both of the variants could catalyze base excision and nick DNA by β-elimination but demonstrated a lower affinity for DNA. Steady-state kinetics indicates that the P304T variant has its catalytic efficiency (in terms of kcat/KM) reduced ~5-fold compared with the wild-type hNEIL2, whereas the R103W enzyme is much less affected. The P304T variant was also less proficient than the wild-type, or R103W hNEIL2, in the removal of damaged bases from single-stranded and bubble-containing DNA. Overall, hNEIL2 P304T could be worthy of a detailed epidemiological analysis as a possible cancer risk modifier.
We consider a system of differential equations with two delays, which describes the interaction between predator and prey populations. The model takes into account the age structure of populations, herewith the delay parameters denote the time that predator and prey individuals need to become adult.

We consider questions of stability of equilibrium points and study asymptotic properties of solutions. We establish estimates of solutions characterizing the stabilization rate at infinity and find estimates of attraction sets.

The results are obtained using modified Lyapunov-Krasovskii functionals.
the linear regression method of Haley, Knott and Elsen (1994) for estimating quantitative trait locus coefficients used as regressors

probabilities of line origins for alleles in general pedigrees; software for calculating these probabilities; algorithm based on Haley, Knott and Elsen (1994) combined with Markov chain Monte Carlo (MCMC) method; compared relative precision with original method; scenarios varied in allelic distribution of marker alleles in parental lines and frequency of missing marker genotypes

MCMC method achieves higher accuracy in all scenarios; benefits substantial if frequency of missing marker data is high or number of marker alleles is low and allelic frequency distribution similar in both parental lines
Nonisothermal droplet desorption of aqueous salt solution H2O/LiBr during nucleate boiling was studied experimentally. A droplet was placed on a horizontal heated wall. The initial concentration of salt C 0 = 25 %. The wall temperature T w = 120 °C and ambient air pressure is 1 bar. Thermal images of the temperature field on the droplet surface show an extremely non-uniform temperature field. At nucleate boiling in LiBr salt solution it is incorrect to predict the desorption behavior in stationary approximation. It was previously believed that the rate of evaporation does not vary with time. For the first time it is shown that the desorption rate is divided into several characteristic time intervals. These intervals is characterized by a significant change in the desorption rate.
Autism spectrum disorder (ASD) has a strong and complex genetic component with an estimate of more than 1000 genes implicated cataloged in SFARI (Simon′s Foundation Autism Research Initiative) gene database. A significant part of both syndromic and idiopathic autism cases can be attributed to disorders caused by the mechanistic target of rapamycin (mTOR)-dependent translation deregulation. We conducted gene-set analyses and revealed that 606 out of 1053 genes (58%) included in the SFARI Gene database and 179 out of 281 genes (64%) included in the first three categories of the database (“high confidence”, “strong candidate”, and “suggestive evidence”) could be attributed to one of the four groups: 1. FMRP (fragile X mental retardation protein) target genes, 2. mTOR signaling network genes, 3. mTOR-modulated genes, 4. vitamin D3 sensitive genes. The additional gene network analysis revealed 43 new genes and 127 new interactions, so in the whole 222 out of 281 (79%) high scored genes from SFARI Gene database were connected with mTOR signaling activity and/or dependent on vitamin D3 availability directly or indirectly. We hypothesized that genetic and/or environment mTOR hyperactivation, including provocation by vitamin D deficiency, might be a common mechanism controlling the expressivity of most autism predisposition genes and even core symptoms of autism.
Small non-coding RNAs have gained substantial attention due to their roles in animal development and human disorders. Among them, microRNAs are special because individual gene sequences are conserved across the animal kingdom. In addition, unique and mechanistically well understood features can clearly distinguish bona fide miRNAs from the myriad other small RNAs generated by cells. However, making this distinction is not a common practice and, thus, not surprisingly, the heterogeneous quality of available miRNA complements has become a major concern in microRNA research. We addressed this by extensively expanding our curated microRNA gene database - MirGeneDB - to 45 organisms, encompassing a wide phylogenetic swath of animal evolution. By consistently annotating and naming 10,899 microRNA genes in these organisms, we show that previous microRNA annotations contained not only many false positives, but surprisingly lacked >2000 bona fide microRNAs. Indeed, curated microRNA complements of closely related organisms are very similar and can be used to reconstruct ancestral miRNA repertoires. MirGeneDB represents a robust platform for microRNA-based research, providing deeper and more significant insights into the biology and evolution of miRNAs as well as biomedical and biomarker research. MirGeneDB is publicly and freely available at http://mirgenedb.org/.
The experimental investigation of water droplet deformation (characteristic dimensions 3 ÷ 6 mm) when moving through the gas area (air) with 1÷ 5 m/s velocities was carried out. The high-speed (delay time between the frames is less than 100 ns) tools of cross-correlation videorecording were used. A cyclic change nature of the droplet shapes (from close to spherical to conditionally ellipsoidal) was found. The characteristic times of “deformation cycles” and the maximal deviations of droplet dimensions relative to initial dimensions were determined. The influence of droplet velocities and its dimensions on the deformation characteristics was determined.
Compared with conventional two step steam reforming, it allows the amount of water required for the process, and therefore the energy needed for water evaporation, to be lowered; substitution of high-potential heat by lower ones; and substitution of expensive tubular steam reforming reactors by adiabatic ones.

Coupling of the pre-reforming and partial oxidation was considered for the conversion of liquefied petroleum gas to syngas. The proof-of-concept experiments were carried out. The granular Ni-Cr2O3-Al2O3 catalyst was shown to be effective for propane pre-reforming at 350–400 °C, H2O:C molar ratio of 1.0, and flow rate of 12,000 h−1. The composite Rh/Ce0.75Zr0.25O2-δ–ƞ-Al2O3/FeCrAl catalyst was shown to be active and stable under conditions of partial oxidation of methane-rich syngas after pre-reforming.

The supposed process is more productive due to the high reaction rate of partial oxidation. The obtained syngas contains only ca. 10 vol.% H2O and ca. 50 vol.% of H2 + CO, which is attractive for the feeding application of solid oxide fuel cells. Compared with direct partial oxidation of liquefied petroleum gas, the suggested scheme is more energy efficient and overcomes problems with coke formation and catalyst overheating.
In this research we estimated the contribution of a major-gene effect to the control of litter size in hybrids between two local populations of the house musk shrew ( Suncus murinus ). Segregation analysis was performed on the basis of a mixed polygene and major-gene model. The model presumes that two parental populations may differ from each other in gene frequencies and in the values of polygenic effects but not in the major-gene contribution of the trait. Moreover, the peculiarity of the trait – litter size – is taken into account. This trait is not an individual attribute. It characterizes the parental couple and may depend on the genotypes of both parents. Results of segregation analysis of a large hybrid pedigree of Suncus murinus indicate that the parental populations differ in the allele frequency of the major gene (one population is homozygous, while the other contains the two alleles in approximately equal proportions) and in the values of average polygenic effects. Both major-gene and polygenic components are necessary for the correct description of litter size inheritance in interracial hybrids of S. murinus , inasmuch as the exclusion of either of them leads to a significant drop in likelihood. The Elston–Stewart criterion also confirms the Mendelian inheritance of the major gene.