396 research outputs found
Protecting entangled states of two ions by engineering reservoir
We present a proposal for realizing local decoherence-free evolution of given
entangled states of two two-level (TL) ions. For two TL ions coupled to a
single heavily damped cavity, we can use engineering reservoir scheme to obtain
a decoherence-free subspace which can be nonadiabatically controlled by the
system and reservoir parameters. Then the local decoherence-free evolution of
the entangled states are achieved. And we also discuss the relation between the
geometric phases and the entanglement of the two ions under the nonadiabatic
coherent evolution
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Hemoglobin A1c Levels and Aortic Arterial Stiffness: The Cardiometabolic Risk in Chinese (CRC) Study
Objective: The American Diabetes Association (ADA) recently published new clinical guidelines in which hemoglobin A1c (HbA1c) was recommended as a diagnostic test for diabetes. The present study was to investigate the association between HbA1c and cardiovascular risk, and compare the associations with fasting glucose and 2-hour oral glucose tolerance test (2 h OGTT). Research design and methods: The study samples are from a community-based health examination survey in central China. Carotid-to-femoral pulse wave velocity (cfPWV) and HbA1c were measured in 5,098 men and women. Results: After adjustment for age, sex, and BMI, the levels of HbA1c were significantly associated with an increasing trend of cfPWV in a dose-dependent fashion (P for trend 0.05). Conclusions: HbA1c was related to high cfPWV, independent of conventional cardiovascular risk factors. Senior age and high blood pressure might amplify the adverse effects of HbA1c on cardiovascular risk
Explainable machine learning-based prediction model for diabetic nephropathy
The aim of this study is to analyze the effect of serum metabolites on
diabetic nephropathy (DN) and predict the prevalence of DN through a machine
learning approach. The dataset consists of 548 patients from April 2018 to
April 2019 in Second Affiliated Hospital of Dalian Medical University (SAHDMU).
We select the optimal 38 features through a Least absolute shrinkage and
selection operator (LASSO) regression model and a 10-fold cross-validation. We
compare four machine learning algorithms, including eXtreme Gradient Boosting
(XGB), random forest, decision tree and logistic regression, by AUC-ROC curves,
decision curves, calibration curves. We quantify feature importance and
interaction effects in the optimal predictive model by Shapley Additive
exPlanations (SHAP) method. The XGB model has the best performance to screen
for DN with the highest AUC value of 0.966. The XGB model also gains more
clinical net benefits than others and the fitting degree is better. In
addition, there are significant interactions between serum metabolites and
duration of diabetes. We develop a predictive model by XGB algorithm to screen
for DN. C2, C5DC, Tyr, Ser, Met, C24, C4DC, and Cys have great contribution in
the model, and can possibly be biomarkers for DN
Application of Local Wave Decomposition in Seismic Signal Processing
Local wave decomposition (LWD) method plays an important role in seismic signal processing for its superiority in significantly revealing the frequency content of a seismic signal changes with time variation. The LWD method is an effective way to decompose a seismic signal into several individual components. Each component represents a harmonic signal localized in time, with slowly varying amplitudes and frequencies, potentially highlighting different geologic and stratigraphic information. Empirical mode decomposition (EMD), the synchrosqueezing transform (SST), and variational mode decomposition (VMD) are three typical LWD methods. We mainly study the application of the LWD method especially EMD, SST, and VMD in seismic signal processing including seismic signal de‐noising, edge detection of seismic images, and recovery of the target reflection near coal seams
Glycine ethyl ester hydrochloride
In the crystal structure of the title compound, C4H10NO2
+·Cl− (systematic name: 3-ethoxy-3-oxopropan-1-aminium chloride), there are strong intermolecular N—H⋯Cl, C—H⋯Cl and C—H⋯O hydrogen-bonding interactions between the free chloride anion and the organic cation, resulting in a two-dimensional supramolecular network in the ab plane
Neurotization of free gracilis transfer with the brachialis branch of the musculocutaneous nerve to restore finger and thumb flexion in lower trunk brachial plexus injury: an anatomical study and case report
OBJECTIVE: To investigate the feasibility of using free gracilis muscle transfer along with the brachialis muscle branch of the musculocutaneous nerve to restore finger and thumb flexion in lower trunk brachial plexus injury according to an anatomical study and a case report. METHODS: Thirty formalin-fixed upper extremities from 15 adult cadavers were used in this study. The distance from the point at which the brachialis muscle branch of the musculocutaneous nerve originates to the midpoint of the humeral condylar was measured, as well as the length, diameter, course and branch type of the brachialis muscle branch of the musculocutaneous nerve. An 18-year-old male who sustained an injury to the left brachial plexus underwent free gracilis transfer using the brachialis muscle branch of the musculocutaneous nerve as the donor nerve to restore finger and thumb flexion. Elbow flexion power and hand grip strength were recorded according to British Medical Research Council standards. Postoperative measures of the total active motion of the fingers were obtained monthly. RESULTS: The mean length and diameter of the brachialis muscle branch of the musculocutaneous nerve were 52.66±6.45 and 1.39±0.09 mm, respectively, and three branching types were observed. For the patient, the first gracilis contraction occurred during the 4th month. A noticeable improvement was observed in digit flexion one year later; the muscle power was M4, and the total active motion of the fingers was 209°. CONCLUSIONS: Repairing injury to the lower trunk of the brachial plexus by transferring the brachialis muscle branch of the musculocutaneous nerve to the anterior branch of the obturator nerve using a tension-free direct suture is technically feasible, and the clinical outcome was satisfactory in a single surgical patient
Dynamic distribution and tissue tropism of classical swine fever virus in experimentally infected pigs
<p>Abstract</p> <p>Background</p> <p><it>Classical swine fever </it>(CSF), caused by the <it>Classical swine fever virus </it>(CSFV), is an Office International des Epizooties (OIE) notifiable disease. However, we are far from fully understand the distribution, tissue tropism, pathogenesis, replication and excretion of CSFV in pigs. In this report, we investigated the dynamic distribution and tissue tropism of the virus in internal organs of the experimentally infected pigs using real-time RT-PCR and immunohistochemistry (IHC).</p> <p>Results</p> <p>A relative quantification real-time PCR was established and used to detect the virus load in internal organs of the experimentally infected pigs. The study revealed that the virus was detected in all 21 of the internal organs and blood collected from pigs at day 1 to day 8 post infections, and had an increasing virus load from day 1 to day 8 post infections. However, there was irregular distribution virus load in most internal organs over the first 2 days post infection. Blood, lymphoid tissue, pancreas and ileum usually contain the highest viral loads, while heart, duodenum and brain show relatively low viral loads.</p> <p>Conclusions</p> <p>All the data suggest that CSFV had an increasing virus load from day 1 to day 8 post infections in experimentally infected pigs detected by real-time RT-PCR, which was in consistent with the result of the IHC staining. The data also show that CSFV was likely to reproduce in blood, lymphoid tissue, pancreas and the ileum, while unlikely to replicate in the heart, duodenum and brain. The results provide a foundation for further clarification of the pathogenic mechanism of CSFV in internal organs, and indicate that blood, lymphoid tissue, pancreas and ileum may be preferred sites of acute infection.</p
Multicolor Photometric Observations of Optical Candidates to Faint ROSAT X-ray Sources in a 1 deg field of the BATC Survey
We present optical candidates for 75 X-ray sources in a deg
overlapping region with the medium deep ROSAT survey. These candidates are
selected using the multi-color CCD imaging observations made for the T329 field
of the Beijing-Arizona-Taipei-Connecticut (BATC) Sky Survey. These X-ray
sources are relatively faint (CR ) and thus mostly are not
included in the RBS catalog, they also remain as X-ray sources without optical
candidates in a previous identification program carried out by the Hamburg
Quasar Survey. Within their position-error circles, almost all the X-ray
sources are observed to have one or more spatially associated optical
candidates within them down to the magnitude . We have
classified 149 of 156 detected optical candidates with 73 of the 75 X-ray
sources with a SED-based Object Classification Approach (SOCA). These optical
candidates include: 31 QSOs, 39 stars, 37 starburst galaxies, 42 galaxies, and
7 "just" visible objects. We have also cross-correlated the positions of these
optical objects with NED, the FIRST radio source catalog and the 2MASS catalog.
Separately, we have also SED-classified the remaining 6011 objects in our field
of view. Optical objects are found at the level above what one
would expect from a random distribution, only QSOs are over-represented in
these error circles at greater than 4 frequency. We estimate redshifts
for all extragalactic objects, and find a good correspondence of our predicted
redshift with the measured redshift (a mean error of 0.04 in . There
appears to be a supercluster at z 0.3-0.35 in this direction, including
many of the galaxies in the X-ray error circles are found in this redshift
range.Comment: 45 pages, 21 figures, AJ in press, Version with full resolution
figures available from http://www.lamost.org/~zht/xray.zi
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