122 research outputs found
Stability of the liquid particles separation in the apparatus of oil and gas systems
The article considers the methods of associated gas purification from liquid particles. The sintering of liquid particles occurs during the separation process and the trapped droplets can be removed as a liquid stream, i.e. there is no need for unloading units. The droplet size depends on the energy input during their fragmentation. The efficiency of drops separation depends on the flow rate and the intensification of droplets coalescence, film formation and liquid flow to the receiver. The dispersion of the liquid particles is the main drawback of the existing purification methods, i.e. lack of sustainability of particle separation. The comparison of the separation system methods and the devices with flow control elements is carried out. The estimation of gas purification efficiency is conducted. It is concluded that the efficiency of associated gas purification gives the possibility to use it in turbine generators, heating furnaces, etc. It significantly reduces the proportion of gas being flared
Torsion and accelerating expansion of the universe in quadratic gravitation
Several exact cosmological solutions of a metric-affine theory of gravity
with two torsion functions are presented. These solutions give a essentially
different explanation from the one in most of previous works to the cause of
the accelerating cosmological expansion and the origin of the torsion of the
spacetime. These solutions can be divided into two classes. The solutions in
the first class define the critical points of a dynamical system representing
an asymptotically stable de Sitter spacetime. The solutions in the second class
have exact analytic expressions which have never been found in the literature.
The acceleration equation of the universe in general relativity is only a
special case of them. These solutions indicate that even in vacuum the
spacetime can be endowed with torsion, which means that the torsion of the
spacetime has an intrinsic nature and a geometric origin. In these solutions
the acceleration of the cosmological expansion is due to either the scalar
torsion or the pseudoscalar torsion function. Neither a cosmological constant
nor dark energy is needed. It is the torsion of the spacetime that causes the
accelerating expansion of the universe in vacuum. All the effects of the
inflation, the acceleration and the phase transformation from deceleration to
acceleration can be explained by these solutions. Furthermore, the energy and
pressure of the matter without spin can produce the torsion of the spacetime
and make the expansion of the universe decelerate as well as accelerate.Comment: 20 pages. arXiv admin note: text overlap with gr-qc/0604006,
arXiv:1110.344
Breakup reaction models for two- and three-cluster projectiles
Breakup reactions are one of the main tools for the study of exotic nuclei,
and in particular of their continuum. In order to get valuable information from
measurements, a precise reaction model coupled to a fair description of the
projectile is needed. We assume that the projectile initially possesses a
cluster structure, which is revealed by the dissociation process. This
structure is described by a few-body Hamiltonian involving effective forces
between the clusters. Within this assumption, we review various reaction
models. In semiclassical models, the projectile-target relative motion is
described by a classical trajectory and the reaction properties are deduced by
solving a time-dependent Schroedinger equation. We then describe the principle
and variants of the eikonal approximation: the dynamical eikonal approximation,
the standard eikonal approximation, and a corrected version avoiding Coulomb
divergence. Finally, we present the continuum-discretized coupled-channel
method (CDCC), in which the Schroedinger equation is solved with the projectile
continuum approximated by square-integrable states. These models are first
illustrated by applications to two-cluster projectiles for studies of nuclei
far from stability and of reactions useful in astrophysics. Recent extensions
to three-cluster projectiles, like two-neutron halo nuclei, are then presented
and discussed. We end this review with some views of the future in
breakup-reaction theory.Comment: Will constitute a chapter of "Clusters in Nuclei - Vol.2." to be
published as a volume of "Lecture Notes in Physics" (Springer
Nuclear charge radius of He
The root-mean-square (rms) nuclear charge radius of ^8He, the most
neutron-rich of all particle-stable nuclei, has been determined for the first
time to be 1.93(3) fm. In addition, the rms charge radius of ^6He was measured
to be 2.068(11) fm, in excellent agreement with a previous result. The
significant reduction in charge radius from ^6He to ^8He is an indication of
the change in the correlations of the excess neutrons and is consistent with
the ^8He neutron halo structure. The experiment was based on laser spectroscopy
of individual helium atoms cooled and confined in a magneto-optical trap.
Charge radii were extracted from the measured isotope shifts with the help of
precision atomic theory calculations
The Medical Action Ontology: A tool for annotating and analyzing treatments and clinical management of human disease.
BACKGROUND: Navigating the clinical literature to determine the optimal clinical management for rare diseases presents significant challenges. We introduce the Medical Action Ontology (MAxO), an ontology specifically designed to organize medical procedures, therapies, and interventions.
METHODS: MAxO incorporates logical structures that link MAxO terms to numerous other ontologies within the OBO Foundry. Term development involves a blend of manual and semi-automated processes. Additionally, we have generated annotations detailing diagnostic modalities for specific phenotypic abnormalities defined by the Human Phenotype Ontology (HPO). We introduce a web application, POET, that facilitates MAxO annotations for specific medical actions for diseases using the Mondo Disease Ontology.
FINDINGS: MAxO encompasses 1,757 terms spanning a wide range of biomedical domains, from human anatomy and investigations to the chemical and protein entities involved in biological processes. These terms annotate phenotypic features associated with specific disease (using HPO and Mondo). Presently, there are over 16,000 MAxO diagnostic annotations that target HPO terms. Through POET, we have created 413 MAxO annotations specifying treatments for 189 rare diseases.
CONCLUSIONS: MAxO offers a computational representation of treatments and other actions taken for the clinical management of patients. Its development is closely coupled to Mondo and HPO, broadening the scope of our computational modeling of diseases and phenotypic features. We invite the community to contribute disease annotations using POET (https://poet.jax.org/). MAxO is available under the open-source CC-BY 4.0 license (https://github.com/monarch-initiative/MAxO).
FUNDING: NHGRI 1U24HG011449-01A1 and NHGRI 5RM1HG010860-04
Π ΠΠΠ¬ ΠΠΠΠΠΠ’ΠΠ§ΠΠ‘ΠΠΠ₯ ΠΠ‘Π’ΠΠ§ΠΠΠΠΠ Π’ΠΠΠΠ ΠΠ Π Π€ΠΠ ΠΠΠ ΠΠΠΠΠΠ Π ΠΠΠΠΠΠΠΠ¬ΠΠΠΠ Π ΠΠΠΠ’ΠΠΠ’ΠΠΠ«Π₯ ΠΠΠ’ΠΠΠΠ Π€ΠΠ§ΠΠ‘ΠΠΠ₯ ΠΠ ΠΠΠΠΠ ΠΠΠΠΠΠΠΠΠ Π‘ΠΠΠΠΠΠΠΠ (Π’Π£ΠΠ)
The tectonomagmatic evolution of the Sangilen massif has been described in detail in numerous publications, but little attention was given to heat sources related to the HT/LP metamorphism. Modeling of the magma transport to the upperβcrust levels in West Sangilen shows that the NT/LP metamorphism is related to gabbromonodiorite intrusions. This article is focused on the thermoβmechanical modeling of melting and lifting of melts in the crust, taking into account the density interfaces. The model of the Erzin granitoid massif shows that in case of fractional melting, the magma ascent mechanism is fundamentally different, as opposed to diapir upwelling β percolation take place along a magmatic channel or a system of channels. An estimated rate of diapiric rise in the crust amounts to 0.8 cm/yr, which is more than an order of magnitude lower than the rate of melt migration in case of fractional melting (25 cm/yr). In our models, a metamorphic thermal βanticlineβ develops in stages that differ, probably, due to the modes of crust melting: batch melting occurs at the first stage, and fractional melting takes place at the second stage. It is probable that the change of melting modes from melting conditions in a βclosedβ system to fractional melting conditions in βopenβ systems is determined by tectonic factors. For the Sangilen massif, we have estimated the degrees of melting in the granulite, granite, and sedimentaryβmetamorphic layers of the crust (6, 15, and 5 vol. %, respectively).Π’Π΅ΠΊΡΠΎΠ½ΠΎΠΌΠ°Π³ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΡΠ²ΠΎΠ»ΡΡΠΈΡ Π‘Π°Π½Π³ΠΈΠ»Π΅Π½ΡΠΊΠΎΠ³ΠΎ ΠΌΠ°ΡΡΠΈΠ²Π° Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎ ΠΎΡ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΠΎΠ²Π°Π½Π° Π² ΠΌΠ½ΠΎΠ³ΠΎΡΠΈΡΠ»Π΅Π½Π½ΡΡ
ΠΏΡΠ±Π»ΠΈΠΊΠ°ΡΠΈΡΡ
, Π² ΡΠΎ Π²ΡΠ΅ΠΌΡ ΠΊΠ°ΠΊ ΠΈΡΡΠΎΡΠ½ΠΈΠΊΠ°ΠΌ ΡΠ΅ΠΏΠ»Π° ΠΏΡΠΈ ΠΌΠ΅ΡΠ°ΠΌΠΎΡΡΠΈΠ·ΠΌΠ΅ ΠΠ’/LΠ βΡΠΈΠΏΠ° ΡΠ΄Π΅Π»ΡΠ»ΠΎΡΡ ΠΌΠ°Π»ΠΎ Π²Π½ΠΈΠΌΠ°Π½ΠΈΡ. ΠΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² ΡΡΠ°Π½ΡΠΏΠΎΡΡΠ° ΠΌΠ°Π³ΠΌ Π½Π° Π²Π΅ΡΡ
Π½Π΅ΠΊΠΎΡΠΎΠ²ΡΠ΅ ΡΡΠΎΠ²Π½ΠΈ ΡΠ²Π»ΡΠ΅ΡΡΡ Π°ΠΊΡΡΠ°Π»ΡΠ½ΡΠΌ, ΡΠ°ΠΊ ΠΊΠ°ΠΊ Π΄Π»Ρ ΠΠ°ΠΏΠ°Π΄Π½ΠΎΠ³ΠΎ Π‘Π°Π½Π³ΠΈΠ»Π΅Π½Π° ΡΡΡΠ°Π½Π°Π²Π»ΠΈΠ²Π°Π΅ΡΡΡ ΡΠ²ΡΠ·Ρ ΠΌΠ΅ΡΠ°ΠΌΠΎΡΡΠΈΠ·ΠΌΠ° ΠΠ’/LΠ βΡΠΈΠΏΠ° Ρ Π³Π°Π±Π±ΡΠΎβΠΌΠΎΠ½ΡΠΎΠ΄ΠΈΠΎΡΠΈΡΠΎΠ²ΡΠΌΠΈ ΠΈΠ½ΡΡΡΠ·ΠΈΡΠΌΠΈ. Π‘ΡΠ°ΡΡΡ ΠΏΠΎΡΠ²ΡΡΠ΅Π½Π° ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ°ΠΌ ΡΠ΅ΡΠΌΠΎΠΌΠ΅Ρ
Π°Π½ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΏΠΎΡΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΡΠ΅ΠΆΠΈΠΌΠ° ΠΏΠ»Π°Π²Π»Π΅Π½ΠΈΡ ΠΈ ΠΏΠΎΠ΄ΡΠ΅ΠΌΠ° ΡΠ°ΡΠΏΠ»Π°Π²ΠΎΠ² Π² ΠΊΠΎΡΠ΅ Ρ Π½Π°Π»ΠΈΡΠΈΠ΅ΠΌ ΠΏΠ»ΠΎΡΠ½ΠΎΡΡΠ½ΡΡ
Π³ΡΠ°Π½ΠΈΡ. ΠΠ±ΡΠ΅ΠΊΡ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ β ΠΡΠ·ΠΈΠ½ΡΠΊΠΈΠΉ Π³ΡΠ°Π½ΠΈΡΠΎΠΈΠ΄Π½ΡΠΉ ΠΌΠ°ΡΡΠΈΠ². ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ Π² ΠΎΡΠ»ΠΈΡΠΈΠ΅ ΠΎΡ Π΄ΠΈΠ°ΠΏΠΈΡΠΎΠ²ΠΎΠ³ΠΎ Π²ΡΠΏΠ»ΡΠ²Π°Π½ΠΈΡ ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌ ΠΏΠΎΠ΄ΡΠ΅ΠΌΠ° ΠΌΠ°Π³ΠΌΡ ΠΏΡΠΈ ΡΡΠ°ΠΊΡΠΈΠΎΠ½Π½ΠΎΠΌ ΠΏΠ»Π°Π²Π»Π΅Π½ΠΈΠΈ ΠΎΠΊΠ°Π·ΡΠ²Π°Π΅ΡΡΡ ΠΏΡΠΈΠ½ΡΠΈΠΏΠΈΠ°Π»ΡΠ½ΠΎ ΠΈΠ½ΡΠΌ β Π² ΡΠΎΡΠΌΠ΅ ΠΏΡΠΎΡΠ°ΡΠΈΠ²Π°Π½ΠΈΡ ΠΏΠΎ ΠΌΠ°Π³ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΌΡ ΠΊΠ°Π½Π°Π»Ρ (ΡΠΈΡΡΠ΅ΠΌΠ΅ ΠΊΠ°Π½Π°β Π»ΠΎΠ²). ΠΡΠ΅Π½Π΅Π½ΠΎ, ΡΡΠΎ ΡΠΊΠΎΡΠΎΡΡΠΈ ΠΏΠΎΠ΄ΡΠ΅ΠΌΠ° Π΄ΠΈΠ°ΠΏΠΈΡΠΎΠ² Π² Π·Π΅ΠΌΠ½ΠΎΠΉ ΠΊΠΎΡΠ΅ (0.8 ΡΠΌ/Π³ΠΎΠ΄) Π±ΠΎΠ»Π΅Π΅ ΡΠ΅ΠΌ Π½Π° ΠΏΠΎΡΡΠ΄ΠΎΠΊ Π½ΠΈΠΆΠ΅ ΡΠΊΠΎΡΠΎΡΡΠΈ ΠΌΠΈΠ³ΡΠ°ΡΠΈΠΈ ΡΠ°ΡΠΏΠ»Π°Π²Π° ΠΏΡΠΈ ΡΡΠ°ΠΊΡΠΈΠΎΠ½Π½ΠΎΠΌ ΠΏΠ»Π°Π²Π»Π΅Π½ΠΈΠΈ, ΠΊΠΎΡΠΎΡΠ°Ρ ΡΠΎΡΡΠ°Π²Π»ΡΠ΅Ρ 25 ΡΠΌ/Π³ΠΎΠ΄. ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ ΡΡΠ°ΠΏΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΌΠ΅ΡΠ°ΠΌΠΎΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠ΅ΡΠΌΠ°Π»ΡΠ½ΠΎΠΉ Β«Π°Π½ΡΠΈΠΊΠ»ΠΈΠ½Π°Π»ΠΈΒ» ΠΌΠΎΠ³Π»ΠΈ Π±ΡΡΡ ΠΎΠ±ΡΡΠ»ΠΎΠ²Π»Π΅Π½Ρ ΡΠ°Π·Π½ΡΠΌ ΡΠ΅ΠΆΠΈΠΌΠΎΠΌ ΠΏΠ»Π°Π²Π»Π΅Π½ΠΈΡ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»Π° ΠΊΠΎΡΡ: Π½Π° ΠΏΠ΅ΡΠ²ΠΎΠΌ ΡΡΠ°ΠΏΠ΅ βΠΏΠΎΡΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΡΠΈΠΏΠ°, Π½Π° Π²ΡΠΎΡΠΎΠΌ βΡΡΠ°ΠΊΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ. Π‘ΠΌΠ΅Π½Π° ΡΠ΅ΠΆΠΈΠΌΠΎΠ² ΠΏΠ»Π°Π²Π»Π΅Π½ΠΈΡ ΠΎΡ ΡΡΠ»ΠΎΠ²ΠΈΠΉ ΠΏΠ»Π°Π²Π»Π΅Π½ΠΈΡ Π² Β«Π·Π°ΠΊΡΡΡΠΎΠΉΒ» ΡΠΈΡΡΠ΅ΠΌΠ΅ ΠΊ ΡΡΠ»ΠΎΠ²ΠΈΡΠΌ ΡΡΠ°ΠΊΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΏΠ»Π°Π²Π»Π΅Π½ΠΈΡ Π² Β«ΠΎΡΠΊΡΡΡΡΡ
Β» ΡΠΈΡΡΠ΅ΠΌΠ°Ρ
, Π²Π΅ΡΠΎΡΡΠ½ΠΎ, ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΠ»Π°ΡΡ ΡΠ΅ΠΊΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΡΠ°ΠΊΡΠΎΡΠ°ΠΌΠΈ. Π‘Π΄Π΅Π»Π°Π½Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ ΠΏΠ»Π°Π²Π»Π΅Π½ΠΈΡ Π² Π³ΡΠ°Π½ΡΠ»ΠΈΡΠΎΠ²ΠΎΠΌ (6 ΠΎΠ±. %), Π³ΡΠ°Π½ΠΈΡΠ½ΠΎΠΌ (15 ΠΎΠ±. %) ΠΈ ΠΎΡΠ°Π΄ΠΎΡΠ½ΠΎβΠΌΠ΅ΡΠ°ΠΌΠΎΡΡΠΈΡΠ΅ΡΠΊΠΎΠΌ (5 ΠΎΠ±. %) ΡΠ»ΠΎΠ΅ ΠΊΠΎΡΡ Π‘Π°Π½Π³ΠΈΠ»Π΅Π½ΡΠΊΠΎΠ³ΠΎ ΠΌΠ°ΡΡΠΈΠ²Π°
The Monarch Initiative in 2019: an integrative data and analytic platform connecting phenotypes to genotypes across species.
In biology and biomedicine, relating phenotypic outcomes with genetic variation and environmental factors remains a challenge: patient phenotypes may not match known diseases, candidate variants may be in genes that havenβt been characterized, research organisms may not recapitulate human or veterinary diseases, environmental factors affecting disease outcomes are unknown or undocumented, and many resources must be queried to find potentially significant phenotypic associations. The Monarch Initiative (https://monarchinitiative.org) integrates information on genes, variants, genotypes, phenotypes and diseases in a variety of species, and allows powerful ontology-based search. We develop many widely adopted ontologies that together enable sophisticated computational analysis, mechanistic discovery and diagnostics of Mendelian diseases. Our algorithms and tools are widely used to identify animal models of human disease through phenotypic similarity, for differential diagnostics and to facilitate translational research. Launched in 2015, Monarch has grown with regards to data (new organisms, more sources, better modeling); new API and standards; ontologies (new Mondo unified disease ontology, improvements to ontologies such as HPO and uPheno); user interface (a redesigned website); and community development. Monarch data, algorithms and tools are being used and extended by resources such as GA4GH and NCATS Translator, among others, to aid mechanistic discovery and diagnostics
The Ontology of Biological Attributes (OBA)-computational traits for the life sciences.
Existing phenotype ontologies were originally developed to represent phenotypes that manifest as a character state in relation to a wild-type or other reference. However, these do not include the phenotypic trait or attribute categories required for the annotation of genome-wide association studies (GWAS), Quantitative Trait Loci (QTL) mappings or any population-focussed measurable trait data. The integration of trait and biological attribute information with an ever increasing body of chemical, environmental and biological data greatly facilitates computational analyses and it is also highly relevant to biomedical and clinical applications. The Ontology of Biological Attributes (OBA) is a formalised, species-independent collection of interoperable phenotypic trait categories that is intended to fulfil a data integration role. OBA is a standardised representational framework for observable attributes that are characteristics of biological entities, organisms, or parts of organisms. OBA has a modular design which provides several benefits for users and data integrators, including an automated and meaningful classification of trait terms computed on the basis of logical inferences drawn from domain-specific ontologies for cells, anatomical and other relevant entities. The logical axioms in OBA also provide a previously missing bridge that can computationally link Mendelian phenotypes with GWAS and quantitative traits. The term components in OBA provide semantic links and enable knowledge and data integration across specialised research community boundaries, thereby breaking silos
Semantic integration of clinical laboratory tests from electronic health records for deep phenotyping and biomarker discovery.
Electronic Health Record (EHR) systems typically define laboratory test results using the Laboratory Observation Identifier Names and Codes (LOINC) and can transmit them using Fast Healthcare Interoperability Resource (FHIR) standards. LOINC has not yet been semantically integrated with computational resources for phenotype analysis. Here, we provide a method for mapping LOINC-encoded laboratory test results transmitted in FHIR standards to Human Phenotype Ontology (HPO) terms. We annotated the medical implications of 2923 commonly used laboratory tests with HPO terms. Using these annotations, our software assesses laboratory test results and converts each result into an HPO term. We validated our approach with EHR data from 15,681 patients with respiratory complaints and identified known biomarkers for asthma. Finally, we provide a freely available SMART on FHIR application that can be used within EHR systems. Our approach allows readily available laboratory tests in EHR to be reused for deep phenotyping and exploits the hierarchical structure of HPO to integrate distinct tests that have comparable medical interpretations for association studies
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