208 research outputs found
Prediabetes. A new paradigm for early prevention of cardiovascular disease
This literature review focuses on the association of prediabetes with cardiovascular disease (CVD). Recently, much attention has been paid to the study of prediabetes due to its extremely high prevalence and strong association with a high risk of developing serious complications that worsen the quality of kife of patients. Prediabetes is not only a metabolic condition with a high risk of developing type 2 diabetes mellitus (T2DM), but also CVD and death from all causes. This association is true for both patients who do not yet have CVD and those with a history of CVD. Also during the COVID-19 pandemic, attention is drawn to the fact that people with prediabetes have a higher risk of a severe course of infection, complications and a worse prognosis of the disease. This is associated with hyperglycemia, the presence of chronic systemic inflammation of a low degree of activity, impaired immune response mechanisms and a procoagulant state in patients with prediabetes, although these disorders are less developed than in patients with T2DM. Therefore, early screening of early disorders of normal metabolism. Since active early intervention at the stage of prediabetes helps to prevent the development of type 2 diabetes and CVD
Tuning Pt characteristics on Pt/C catalyst for aqueous-phase reforming of biomass-derived oxygenates to bio-H-2
Pt/C catalysts with varied Pt sizes and distributions were investigated for aqueous-phase reforming (APR) of ethylene glycol (EG) to H2. APR experiments were performed on a continuous-flow fixed bed reactor with a catalyst loading of 1 g and EG feeding of 120 mL h−1 at 225 °C and 35 bar for 7 h. The fresh and used Pt/C catalysts were characterized by XRF, BET, CO chemisorption, TEM, XTEM, and XPS. Catalyst preparation protocols changed Pt characteristics on Pt/C catalysts, leading to a distinguishable H2 production. The rates for EG conversion and H2 production increased linearly with mean Pt size (3–11 nm), while having a volcano relationship with the mean size of agglomerated Pt particles (17–30 nm). Pt with concentrated Pt particles on surface of Pt/C catalysts was more preferable for APR of EG than the homogeneously distributed in catalysts. Optimal performance was obtained over a Pt/C-PR catalyst, which was prepared by precipitation method, showing a superb turnover frequency of 248 molH2 molPt−1 min−1 for H2 production from EG in APR. Besides, Pt/C catalysts also showed excellent stability. These results have shown the promise of Pt/C catalyst for APR of EG, which can be extended for bio-H2 production via APR of biomass-derived oxygenates in waste streams
Clinical characteristics of patients with COVID-19 depending on the treatment received and the presence of type 2 diabetes mellitus
BACKGROUND. Type 2 diabetes mellitus (T2DM) is an independent risk factor for adverse clinical outcomes in patients with Covid-19. There is currently insufficient data evaluating the efficacy and safety of drugs for the treatment of COVID-19, especially in patients with T2DM.AIM. The aim of study was to identify an associative relationship between the drugs used and the clinical outcomes of patients with Covid-19 and T2DM.MATERIALS AND METHODS. A retrospective analysis of the clinical outcomes of 1753 patients with COVID-19 who were hospitalized to the redesignated departments of multidisciplinary city clinical hospital in the period from 23.03.2020 to 01.06.2020.RESULTS. The total number of patients is 1,753, of which 311 (17.7%) are patients with DM2. 92.6% of patients received treatment for COVID-19. At the same time, 91.4% of patients received antibiotics (a/b), 61.5% — bronchodilators, 56.6% — injectable anticoagulants (a/c), 45.2% — hydroxychloroquine, 6.3% — antiviral drugs, 5.4% — oral a/c, 4.6% — glucocorticosteroids (GCS), 1.9% — Tocilizumab.Decrease of risk of death among patients with COVID-19 was as the therapy of a/b (OR 0.07, 95% CI 0.05–0.11, p<0.05), bronchodilators (OR 0.12, 95% CI 0.08–0.18, p<0.05) and injection a/c (OR 0.47, 95% CI 0.34–0.67, p<0.05). At the same time, among patients with DM2, compared with patients without DM2, there was a more pronounced reduction in the risk of death during injectable a/c therapy: among patients with DM2, the risk of death decreased by 2.6 times (OR 0.39, 95% CI 0.21–0.73, p<0.05), among patients without DM2 — by 2.1 times (OR 0.47, 95% CI 0.31–0.71, p<0.05). Antiviral drugs was associated with an increased chance of death among patients without DM2 (OR 2.64, 95% CI 1.44–4.86, p<0.05) and among patients with DM2 (OR 4.98, 95% CI 2.11–11.75, p<0.05).CONCLUSION. A significant decrease of the risk of death among patients with COVID-19 was as the therapy of a/b, bronchodilators, and injectable a/c. An increase of the risk of death was observed during therapy with antiviral drugs
On the Complexity of Query Result Diversification
Query result diversification is a bi-criteria optimization problem for ranking query results. Given a database D, a query Q and a positive integer k, it is to find a set of k tuples from Q(D) such that the tuples are as relevant as possible to the query, and at the same time, as diverse as possible to each other. Subsets of Q(D) are ranked by an objective function defined in terms of relevance and diversity. Query result diversification has found a variety of applications in databases, information retrieval and operations research. This paper studies the complexity of result diversification for relational queries. We identify three problems in connection with query result diversification, to determine whether there exists a set of k tuples that is ranked above a bound with respect to relevance and diversity, to assess the rank of a given k-element set, and to count how many k-element sets are ranked above a given bound. We study these problems for a variety of query languages and for three objective functions. We establish the upper and lower bounds of these problems, all matching, for both combined complexity and data complexity. We also investigate several special settings of these problems, identifying tractable cases. 1
Possibilities of application a fixed combination of alogliptin and pioglitazone for type 2 diabetes mellitus treatment
Hyperglycemia in T2DM is based on three main mechanisms: insulin resistance, progressive β-cell dysfunction, and excess glucose production by the liver.The onset of T2DM is usually preceded by a long period of insulin resistance. Prescribing sugar drugs that affect different links of pathogenesis, reducing a steady decrease in glycemia. To date, in clinical practice, various combinations of hypoglycemic drugs are used, the choice of which is determined by the characteristics of the course of diabetes in the patient, the presence of concomitant diseases and complications of diabetes, as well as the dominant clinical problem. This resolution provides an expert council opinion on the feasibility of using a combination of alogliptin and pioglitazone in patients with type 2 diabetes
Characterization of 30 Ge enriched Broad Energy Ge detectors for GERDA Phase II
The GERmanium Detector Array (GERDA) is a low background experiment located
at the Laboratori Nazionali del Gran Sasso in Italy, which searches for
neutrinoless double beta decay of Ge into Se+2e. GERDA has
been conceived in two phases. Phase II, which started in December 2015,
features several novelties including 30 new Ge detectors. These were
manufactured according to the Broad Energy Germanium (BEGe) detector design
that has a better background discrimination capability and energy resolution
compared to formerly widely-used types. Prior to their installation, the new
BEGe detectors were mounted in vacuum cryostats and characterized in detail in
the HADES underground laboratory in Belgium. This paper describes the
properties and the overall performance of these detectors during operation in
vacuum. The characterization campaign provided not only direct input for GERDA
Phase II data collection and analyses, but also allowed to study detector
phenomena, detector correlations as well as to test the strength of pulse shape
simulation codes.Comment: 29 pages, 18 figure
decay of Ge into excited states with GERDA Phase I
Two neutrino double beta decay of Ge to excited states of Se
has been studied using data from Phase I of the GERDA experiment. An array
composed of up to 14 germanium detectors including detectors that have been
isotopically enriched in Ge was deployed in liquid argon. The analysis
of various possible transitions to excited final states is based on coincidence
events between pairs of detectors where a de-excitation ray is
detected in one detector and the two electrons in the other.
No signal has been observed and an event counting profile likelihood analysis
has been used to determine Frequentist 90\,\% C.L. bounds for three
transitions: : 1.6 yr,
: 3.7 yr and : 2.3 yr. These bounds are more
than two orders of magnitude larger than those reported previously. Bayesian
90\,\% credibility bounds were extracted and used to exclude several models for
the transition
Background free search for neutrinoless double beta decay with GERDA Phase II
The Standard Model of particle physics cannot explain the dominance of matter
over anti-matter in our Universe. In many model extensions this is a very
natural consequence of neutrinos being their own anti-particles (Majorana
particles) which implies that a lepton number violating radioactive decay named
neutrinoless double beta () decay should exist. The detection
of this extremely rare hypothetical process requires utmost suppression of any
kind of backgrounds.
The GERDA collaboration searches for decay of Ge
(^{76}\rm{Ge} \rightarrow\,^{76}\rm{Se} + 2e^-) by operating bare detectors
made from germanium with enriched Ge fraction in liquid argon. Here, we
report on first data of GERDA Phase II. A background level of
cts/(keVkgyr) has been achieved which is the world-best if
weighted by the narrow energy-signal region of germanium detectors. Combining
Phase I and II data we find no signal and deduce a new lower limit for the
half-life of yr at 90 % C.L. Our sensitivity of
yr is competitive with the one of experiments with
significantly larger isotope mass.
GERDA is the first experiment that will be background-free
up to its design exposure. This progress relies on a novel active veto system,
the superior germanium detector energy resolution and the improved background
recognition of our new detectors. The unique discovery potential of an
essentially background-free search for decay motivates a
larger germanium experiment with higher sensitivity.Comment: 14 pages, 9 figures, 1 table; ; data, figures and images available at
http://www.mpi-hd.mpg/gerda/publi
The first search for bosonic super-WIMPs with masses up to 1 MeV/c with GERDA
We present the first search for bosonic super-WIMPs as keV-scale dark matter
candidates performed with the GERDA experiment. GERDA is a neutrinoless
double-beta decay experiment which operates high-purity germanium detectors
enriched in Ge in an ultra-low background environment at the Laboratori
Nazionali del Gran Sasso (LNGS) of INFN in Italy. Searches were performed for
pseudoscalar and vector particles in the mass region from 60 keV/c to 1
MeV/c. No evidence for a dark matter signal was observed, and the most
stringent constraints on the couplings of super-WIMPs with masses above 120
keV/c have been set. As an example, at a mass of 150 keV/c the most
stringent direct limits on the dimensionless couplings of axion-like particles
and dark photons to electrons of and
at 90% credible interval,
respectively, were obtained.Comment: 6 pages, 3 figures, submitted to Physical Review Letters, added list
of authors, updated ref. [21
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