A migráció bűnügyi hatásai

Additional file 1. Example of waveform recordings and Fourier amplitude spectra

Repetitive Synthetic Method for <i>o</i>,<i>o</i>,<i>p</i>‑Oligophenylenes Using C–H Arylation

A synthetic method for the preparation of <i>o</i>,<i>o</i>,<i>p</i>-oligophenylenes has been developed. It involves Miura’s C–H arylation of 2-biphenols with aryl nonaflates as the key step. Oligophenylenes with defined lengths are successfully synthesized using this method

Characteristics of the studies.

<p>Characteristics of the studies.</p

Annual event rate on each randomized regimen.

<p>Annual event rate on each randomized regimen.</p

Forest plot with OR of prolonged-DAPT relative to short-DAPT for each clinical outcome for the DAPT trial and the pooled population excluding the DAPT trial.

<p>ORs are shown on a logarithmic scale. CI = confidence interval, DAPT = dual anti-platelet therapy, and OR = odds ratio.</p

Definitions of the study endpoint.

<p>Definitions of the study endpoint.</p

Estimated annual event rates for myocardial infarction and stent thrombosis in the short-DAPT group during aspirin mono-therapy.

<p>The landmark data was not available for myocardial infarction in the RESET and EXCELLENT trials. NA = not available.</p

MOESM1 of Systematic difference between first-motion and waveform-inversion solutions for shallow offshore earthquakes due to a low-angle dipping slab

Additional file 1: Figure S1. First-motion solutions of aftershocks of the 2016 Off Mie earthquake. Focal spheres with magnitudes of 2.5–3.4 were plotted referring the Hi-net catalog (last accessed 19 April 2016). Location of the epicenter of the 2016 Off Mie earthquake is given by the yellow star. Figure S2. Same as Fig. 1b but for four additional earthquakes (Events A, B, D and E of Table S1). Figure S3. 1D velocity structure model by Ukawa et al. [1984]. Red and green lines are depth variations of P- and S-wave velocities, respectively. Figure S4. Theoretical travel using 1D velocity structure model by Ukawa et al. [1984]. Table S1. Parameters of earthquake used in this study. ϕ S , δ and λ are strike, dip, and rake angles of focal mechanism, respectively. Table S2. Physical parameters for each layer. P- and S-wave velocities (V P , V S ), densities (ρ), and anelastic attenuation (Q P , Q S ) of the JIVSM [Koketsu et al. 2012]

4,5-Dicyano-3,6-diethylbenzo-1,2-diselenete, a Highly Stable 1,2-Diselenete: Its Preparation, Structural Characterization, Calculated Molecular Orbitals, and Complexation with Tetrakis(triphenylphosphine)palladium

The first isolable benzo-1,2-diselenete, 4,5-dicyano-3,6-diethylbenzo-1,2-diselenete (<b>4</b>), was prepared by the reaction of 4,5-(<i>o</i>-xylylenediseleno)-3,6-diethylphthalonitrile (<b>3</b>) with aluminum chloride in toluene. X-ray crystallographic analysis demonstrated that <b>4</b> contains a trapezoidal diselenide ring rather than a benzo-1,2-diselenone structure. In crystal form, <b>4</b> undergoes self-assembly and generates structures based on layered molecular sheets since the unit cell contains only one molecule. While the cyclic voltammogram of <b>4</b> exhibited only one irreversible peak (<i>E</i>_p = 1.59 V) during oxidation and two quasireversible couples during reduction, three peaks were observed in the differential pulse voltammogram of the reduction couples (<i>E</i>_1/2 = −1.19, −0.75, and −0.69 V). Although a THF solution of <b>4</b> in the presence of sodium metal was EPR silent, various signals were readily observed in its ¹H, ¹³C, and ⁷⁷Se NMR spectra. Molecular orbital calculations for <b>4</b> demonstrated that the HOMO orbital is primarily localized at the two selenium atoms and four of the benzene carbon atoms while the LUMO orbital is situated solely on the diselenete ring. It appears that the HOMO and LUMO orbitals of <b>4</b> receive significant stabilization from the nitrile groups compared to the level of stabilization in the unsubstituted benzo-1,2-diselenete (<b>BDS</b>). The reaction of <b>4</b> with tetrakis­(triphenylphosphine)­palladium in benzene was found to produce a dinuclear palladium complex (<b>8</b>), and the structure of this complex was determined by X-ray crystallographic analysis. The central four membered ring of <b>8</b> consists of the Pd1, Se2, Pd2, and Se3 atoms and is not planar but rather adopts a folded arrangement

Prediction models for in-hospital deaths of patients with COVID-19 using electronic healthcare data

Many models for predicting various disease prognoses have achieved high performance without laboratory test results. However, whether laboratory test results can improve performance remains unclear. This study aimed to investigate whether laboratory test results improve the model performance for coronavirus disease 2019 (COVID-19). Prediction models were developed using data from the electronic healthcare record database in Japan. Patients aged ≥18 years hospitalized for COVID-19 after February 11, 2020, were included. Their age, sex, comorbidities, laboratory test results, and number of days from February 11, 2020, were collected. We developed a logistic regression, XGBOOST, random forest, and neural network analysis and compared the performance with and without laboratory test results. The performance of predicting in-hospital death was evaluated using the area under the curve (AUC). Data from 8,288 hospitalized patients (females, 46.5%) were analyzed. The median patient age was 71 years. A total of 6,630 patients were included in the training dataset, and 312 (4.7%) died. In the logistic regression model, the area under the curve was 0.88 (95% confidence interval [CI] = 0.83–0.93) and 0.75 (95% CI = 0.68–0.81) with and without laboratory test results, respectively. The performance was not fundamentally different between the model types, and the laboratory test results improved the performance in all cases. The variables useful for prediction were blood urea nitrogen, albumin, and lactate dehydrogenase. Laboratory test results, such as blood urea nitrogen, albumin, and lactate dehydrogenase levels, along with background information, helped estimate the prognosis of patients hospitalized for COVID-19.</p