Miracle-dz/UniFAR-FTUs huggingface dataset:
Gute psychopädiatrische Pflege zu Hause – was ist das?

Die Nachfrage nach professioneller psychopädiatrischer Pflege von Kindern und Jugendlichen im häuslichen Setting hat in den vergangenen Jahren stark zugenommen. Doch wie steht es um die Qualität der geleisteten Pflege? Der vorliegende Beitrag geht der Frage nach, was unter guter psychopädiatrischer Pflege zu Hause verstanden wird. Es werden die Perspektiven betroffener Jugendlicher, Eltern und Fachpersonen beleuchtet.
Propagation and absorption of high-intensity femtosecond laser radiation in diamond

Femtosecond interferometry has been used to experimentally study the photoexcitation of the electron subsystem of diamond exposed to femtosecond laser pulses of intensity to . The carrier concentration has been determined as a function of incident intensity for three harmonics of a Ti : sapphire laser (800, 400 and ). The results demonstrate that, in a wide range of laser fluences (up to those resulting in surface and bulk graphitisation), a well-defined multiphoton absorption prevails. We have estimated nonlinear absorption coefficients for pulsed radiation at (four-photon transition) and at 400 and (indirect and direct two-photon transitions, respectively). It has also been shown that, at any considerable path length of a femtosecond pulse in diamond (tens of microns or longer), the laser beam experiences a severe nonlinear transformation, determining the amount of energy absorbed by the lattice, which is important for the development of technology for diamond photostructuring by ultrashort pulses. The competition between wave packet self-focusing and the plasma defocusing effect is examined as a major mechanism governing the propagation of intense laser pulses in diamond.
Robustness of the hybrid DRP‐WENO scheme for shock flow computations

This paper describes a new variant of hybrid scheme that is constructed by a wave‐capturing scheme and a nonoscillatory scheme for flow computations in the presence of shocks. The improved fifth‐order upwind weighted essentially nonoscillatory scheme is chosen to be conjugated with the seven‐point dispersion‐relation‐preserving scheme by means of an adaptive switch function of grid‐point type. The new hybrid scheme can achieve a better resolution than the hybrid scheme which is based on the classical weighted essentially scheme. Ami Harten's multiresolution analysis algorithm is applied to density field for detecting discontinuities and setting point values of the switch function adaptively. Moreover, the tenth‐order central filter is applied in smooth part of the flow field for damping dispersion errors. This scheme can promote overall computational efficiency and yield oscillation‐free results in shock flows. The resolution properties and robustness of the new hybrid scheme are tested in both 1D and 2D linear and nonlinear cases. It performs well for computing flow problems with rich structures of weak/strong shocks and large/small vortices, such as the shock‐boundary layer interaction problem in a shock tube, which illustrates that it is very robust and accurate for direct numerical simulation of gas‐dynamics flows. Copyright © 2011 John Wiley & Sons, Ltd.
The evaluation of ammonia tolerance in introduced and local Pacific white shrimp, Litopenaeus vannamei, populations in China

The white shrimp, Litopenaeus vannamei, is one of the most valuable commodities in the global seafood trade. Affected by high-density farming environments, ammonia accumulates in shrimp cultures and has a strong toxic effect, resulting in poor shrimp survival and poor immune function and metabolism. We selected six different populations of L. vannamei from Xing Hai No.1 (A and B), CHAI, Sy Aqua, PRIMO, and a second-generation Sy Aqua-PRIMO hybrid population (SP). The shrimps (3.24 ± 0.71 cm body length) were exposed to ammonia (24 h, 48 h), followed by recovery (R48 h, R96 h) to assess the tolerance of different populations. The survival rate (SR), immune-related enzymes (superoxide dismutase SOD, catalase CAT, and Glutathione peroxidase GSH-PX), Malondialdehyde (MDA), and metabolism (glutamate dehydrogenase GDH, glutamine synthetase GS, and aspartic acid transaminase GOT) and were measured at different populations under acute ammonia stress. Multiple comparisons of the ammonia resistance index from six populations showed that the expression of these indicators varied among the populations. The degree of lipid peroxidation in the Sy Aqua and PRIMO was significantly higher than in the other populations (P < 0.05), and the ammonia metabolism index was poor. The GDH and GOT genes for the Xing Hai No.1 (A) were higher than for the other populations. Mortality and physiological indicators recovered to varying degrees for all experimental populations following 96 h of ammonia relief, whereas the Sy Aqua and PRIMO showed a noticeable lag. These results indicated that the immunity and metabolic capacity of Xing Hai No.1 (A) might be higher than those of Sy Aqua and PRIMO. These data could have value in developing future scientific breeding schemes and in the sustainability of shrimp farming.
Methods for Ensemble Prediction

Abstract It is desirable to filter the unpredictable components from a medium-range forecast. Such a filtered forecast can be obtained by averaging an ensemble of predictions that started from slightly different initial atmospheric states. Different strategies have been proposed to generate the initial perturbations for such an ensemble. “Optimal” perturbation give the largest error at a prespecified forecast time. “Bred” perturbations have grown during a period prior to the analysis. “OSSE-MC” perturbations are obtained using a Monte Carlo-like observation system simulation experiment (OSSE). In the current pilot study, the properties of the different strategies are compared. A three-level quasigeostrophic model is used to describe the evolution of the errors. The tangent linear version of this model and its adjoint version are used to generate the optimal perturbations, while bred perturbations are generated using the full nonlinear model. In the OSSE-MC method, random perturbations of model states are .
Modeling the memory retention characteristics of silicon‐nitride‐oxide‐silicon nonvolatile transistors in a varying thermal environment

The memory retention characteristics of silicon‐nitride‐oxide‐silicon nonvolatile memory devices are found to be strongly thermally activated. A model is developed based on thermal emission of charge from traps. This model accurately predicts the threshold voltage decay of transistors stored in varying thermal environments. The model is demonstrated to be accurate over 7 decades of time and for temperatures between −40 and 200 °C.
Non-intrusive plasma diagnostics for measuring sheath kinematics in plasma focus discharges

The description and use of a non-perturbative optical diagnostic technique for measuring sheath movement in plasma focus are presented. The method is based on a lens that collects the light emitted by the plasma sheath which is detected by fast photodiodes. Two different circuit connections for the photodiodes are presented using either several or a single scope channels to record the photodiode signals. The technique is applied to a 300 J plasma focus with a spatial resolution of ∼0.25 mm measuring its average propagation speeds (axial and radial) as well as its detachment time and an estimated thickness. The setup required in this technique is easy to implement and cost-effective, and it can be applied in any plasma focus, regardless of its stored energy or operational gas.
Concurrent processing of heteroskedastic vector-valued mixture density models

We introduce a combined two-stage least-squares (2SLS)–expectation maximization (EM) algorithm for estimating vector-valued autoregressive conditional heteroskedasticity models with standardized errors generated by Gaussian mixtures. The procedure incorporates the identification of the parametric settings as well as the estimation of the model parameters. Our approach does not require a priori knowledge of the Gaussian densities. The parametric settings of the 2SLS_EM algorithm are determined by the genetic hybrid algorithm (GHA). We test the GHA-driven 2SLS_EM algorithm on some simulated cases and on international asset pricing data. The statistical properties of the estimated models and the derived mixture densities indicate good performance of the algorithm. We conduct tests on a massively parallel processor supercomputer to cope with situations involving numerous mixtures. We show that the algorithm is scalable.
Numerical simulation of plasma processes driven by transverse ion heating

Numerical simulation is performed to study the plasma processes driven by transverse ion heating in a diverging flux tube. It is found that the heating drives a host of plasma processes, in addition to the well-known phenomenon of ion conics. The additional processes include formation of a density cavity topped by a density enhancement, formation of a reverse and forward shock pair with a {open_quotes}double-sawtooth{close_quotes} structure in the flow velocity. The downward electric field near the reverse shock generates a doublestreaming situation consisting of two upflowing ion populations with different average flow velocities. A double streaming also occurs above the forward shock, where the ions energized by the heating are overtaking the relatively slow ions in the ambient polar wind. The energized ions appear as {open_quotes}elevated{close_quotes} ion conics with a low-energy cutoff depending on the distance from the heating region. The parallel electric fields generated by the transverse ion heating have the following noteworthy features; the electric field near the forward shock is essentially unipolar, and it points upward, and for the heating localized in both space and time, the field has the features of a weak double layer. The electric field in the reverse shock region is modulated bymore » the ion-ion instability driven by the multistreaming ions. The oscillating fields in this region have the possibility of heating electrons. The results from the simulations are compared with results from a previous study based on a hydrodynamic model. Effects of spatial resolutions afforded by simulations on the evolution of the plasma are discussed, demonstrating how a crude resolution can miss out plasma instabilities, affecting the plasma flow. 24 refs., 9 figs.« less
Stability of E×B zonal flow in electron temperature gradient driven turbulence

The electron temperature gradient driven turbulence in a slab configuration modeling the negative shear tokamak is studied using a gyrokinetic finite element particle-in-cell code. It is found that quasisteady Er×B zonal flows are generated in finite magnetic shear regions in both sides of the qmin-surface, where the electron thermal transport is reduced substantially compared with the qmin-surface region. Stability analyses of the electrostatic Kelvin–Helmholtz (KH) mode show that the quasisteady Er×B zonal flow pattern is closely related to the q profile or the magnetic shear, which has a stabilizing effect on the KH mode. By changing the q profile to reduce the magnetic shear, the KH mode becomes unstable for the quasisteady Er×B zonal flow, and the Er×B zonal flows disappear in the weak magnetic shear region. Numerical results show a possibility of controlling Er×B zonal flows with the magnetic shear, which depends on the stability of the KH mode.
Inequalities of Bernstein-Jackson-type and the degree of compactness of operators in Banach spaces

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Analysis of long-term time series of the beginning of flowering by Bayesian function estimation

The identification of changes in long-term phenological time series is a prerequisite for the analysis and interpretation of phenological observations as bio-indicator of climate change. The new method for the analysis of phenological time series based on Bayesian concepts, recently presented by DOSE and MENZEL (2004), is employed to the analysis of three long term observational flowering records in Germany (1900-2003) as well as of a 600 year record of cherry flowering in Kyoto, Japan. The onset of these phenological phases in relation to reported temperature variations is discussed, considering three different models for function estimation: The one-change-point-model is preferred in all data sets to the less sophisticated alternatives, the linear model and the constant model. The three time series covering the 20 th century at Geisenheim have a clear maximum of change point probability mid of the 1980s; the record from Kyoto spanning the last 6 centuries has a broad maximum at the beginning of the 20 th century. After these maxima, the resulting rates of change indicate advancing onset of flowering, reaching - with a considerable uncertainty range - higher rates at Geisenheim (up to -1.7 days/year in 2003) compared to Kyoto (-0.1 days/year in 1998). Thus, our analysis allows us to quantify these shifts in phenological phases, which turn out to be strongly dependent on spring temperature. Consequently, they mirror the marked temperature rise in the 20 th century (Kyoto), especially its enhancement in the last 2-3 decades as reflected by the Geisenheim time series.
Achromatic reflectron compressor design for bright pulses in femtosecond electron diffraction

We have designed a femtosecond electron gun suitable for ultrafast electron diffraction experiments, operating in the 30–100 kV regime. The concept is based on recompression of chirped expanding electron pulses emitted from a direct current photogun using a novel dispersion-corrected reflectron concept. We show, using detailed numerical simulations, that our design is capable of producing electron pulses containing 200 000 electrons with a full width at half maximum pulse duration of 130 fs, a root mean squared (rms) pulse radius of 140 μm, and transverse coherence length of 1.5 nm at 100 kV. Our analysis includes the bunch properties at the sample, as well as interactions of the main pulse of high charge density with diffracted electrons. Since our design employs only static electron optics, we believe that it will be easier to implement than concepts based on radio frequency compression.
To Test or Not? Xpert MTB/RIF as an Alternative to Smear Microscopy to Guide Line Probe Assay Testing for Drug-Resistant Tuberculosis

Xpert MTB/RIF (Xpert) revolutionized tuberculosis (TB) diagnosis. Laboratory decision making on whether widely-used reflex drug susceptibility assays (MTBDRplus, first-line resistance; MTBDRsl, second-line) are conducted is based on smear status, with smear-negative specimens often excluded. We performed receiver operator characteristic (ROC) curve analyses using bacterial load information (smear microscopy grade, Xpert-generated semi-quantitation categories and minimum cycle threshold [CTmin] values) from Xpert rifampicin-resistant sputum for the prediction of downstream line probe assay results as “likely non-actionable” (no resistance or susceptible results generated). ABSTRACT Xpert MTB/RIF (Xpert) revolutionized tuberculosis (TB) diagnosis. Laboratory decision making on whether widely-used reflex drug susceptibility assays (MTBDRplus, first-line resistance; MTBDRsl, second-line) are conducted is based on smear status, with smear-negative specimens often excluded. We performed receiver operator characteristic (ROC) curve analyses using bacterial load information (smear microscopy grade, Xpert-generated semi-quantitation categories and minimum cycle threshold [CTmin] values) from Xpert rifampicin-resistant sputum for the prediction of downstream line probe assay results as “likely non-actionable” (no resistance or susceptible results generated). We evaluated actionable-to-non-actionable result ratios and pay-offs with missed resistance versus LPAs done universally. Smear-negatives were more likely than smear-positive specimens to generate a non-actionable MTBDRplus (23% [133/559] versus 4% [15/381]) or MTBDRsl (39% [220/559] versus 12% [47/381]) result. However, excluding smear-negatives would result in missed rapid diagnoses (e.g., only 49% [264/537] of LPA-diagnosable isoniazid resistance would be detected if smear-negatives were omitted). Testing smear-negatives with a semi-quantitation category ≥ “medium” had a high ratio of actionable-to-non-actionable results (12.8 or a 4-fold improvement versus testing all using MTBDRplus, 4.5 or 3-fold improvement for MTBDRsl), which would still capture 64% (168/264) and 77% (34/44) of LPA-detectable smear-negative resistance, respectively. Use of CTmins permitted optimization of this ratio with higher specificity for non-actionable results but decreased resistance detected. Xpert quantitative information permits identification of a smear-negative subset in whom the payoffs of the ratio of actionable-to-non-actionable LPA results with missed resistance may prove acceptable to laboratories, depending on context. Our findings permit the rational expansion of direct DST to certain smear-negative sputum specimens.
Adequacy of using a residual nasal swab specimen from a rapid influenza diagnostic test to perform PCR and whole genome sequencing

Abstract Background: Rapid influenza diagnostic tests (RIDT) demonstrate varying sensitivities, often necessitating reverse transcriptase polymerase chain reaction (RT-PCR) to confirm results. The two methods generally require separate specimens. Using the same anterior nasal swab for both RIDT and molecular confirmation would reduce cost and waste and increase patient comfort. Objective: The aim of this study was to determine if RIDT residual nasal swab (rNS) specimens are adequate for RT-PCR and whole genome sequencing (WGS). Study design: We performed RT-PCR and WGS on paired rNS and nasopharyngeal or oropharyngeal (NP/OP) swab specimens that were collected from primary care patients across all ages. We randomly selected 199 and 40 paired specimens for RT-PCR and WGS, respectively, from the 962 paired surveillance specimens collected during the 2014-2015 influenza season. Results: Sensitivity and specificity for rNS specimens were 81.3% and 96.7%, respectively, as compared to NP/OP specimens. The mean cycle threshold (Ct) value for the NP/OP specimen was significantly lower when the paired specimens were both positive than when the NP/OP swab was positive and the nasal swab was negative (25.5 vs 29.5; p<0.001). WGS was successful in 67.5% of the rNS specimens and 55.0% of the NP/OP specimens. Conclusion: It is feasible to use a single anterior nasal swab for RIDT followed by RT-PCR or WGS. This approach may be appropriate in situations where training and supplies are limited. Additional studies are needed to determine if residual nasal swabs from other rapid diagnostic tests produce similar results.
The impact of quality control on cortical morphometry comparisons in autism

Abstract Structural magnetic resonance imaging (MRI) quality is known to impact and bias neuroanatomical estimates and downstream analysis, including case-control comparisons, and a growing body of work has demonstrated the importance of careful quality control (QC) and evaluated the impact of image and image-processing quality. However, the growing size of typical neuroimaging datasets presents an additional challenge to QC, which is typically extremely time and labour intensive. One of the most important aspects of MRI quality is the accuracy of processed outputs, which have been shown to impact estimated neurodevelopmental trajectories. Here, we evaluate whether the quality of surface reconstructions by FreeSurfer (one of the most widely used MRI processing pipelines) interacts with clinical and demographic factors. We present a tool, FSQC, that enables quick and efficient yet thorough assessment of outputs of the FreeSurfer processing pipeline. We validate our method against other existing QC metrics, including the automated FreeSurfer Euler number, two other manual ratings of raw image quality, and two popular automated QC methods. We show strikingly similar spatial patterns in the relationship between each QC measure and cortical thickness; relationships for cortical volume and surface area are largely consistent across metrics, though with some notable differences. We next demonstrate that thresholding by QC score attenuates but does not eliminate the impact of quality on cortical estimates. Finally, we explore different ways of controlling for quality when examining differences between autistic individuals and neurotypical controls in the Autism Brain Imaging Data Exchange (ABIDE) dataset, demonstrating that inadequate control for quality can alter results of case-control comparisons.
Molecular methods for diagnosis of monkeypox: A mini-review

Background: Monkeypox is a global public health issue caused by the monkeypox virus (MPXV), a virus belonging to the Orthopoxvirus genus. As of October 28 2022, a total of 77,115 laboratory-confirmed cases and 3,610 probable cases, including 36 deaths, were reported, with 9,070 cases reported in Brazil, the second most affected country. The need to develop national technologies for the rapid diagnosis of emerging diseases for mass testing of the population is evident, as observed in the current SARS-CoV-2 pandemic. With that in mind, this article provides an overview of current methods, techniques, and their applications in the molecular detection of monkeypox. Methods: The relevant documents or papers covered in this study were selected by a search in international bibliographic databases. The search terms used in the databases were aimed at summarizing existing knowledge on molecular diagnostic methods, such as: monkeypox; MPX, MPXV, qPCR, PCR, PCR-ELISA, and Diagnosis and Detection searched separately or together using the Boolean operator AND either in the title or abstract. The searches took place in September 2022, and the corresponding articles were selected between 2012 and 2022. Results: We found 256 documents in total and twelve studies addressing the molecular diagnosis of monkeypox were classified as possible sources for this review. Conclusion: This paper presents new perspectives and an overview of current methods, technologies, and applications in the molecular diagnosis of monkeypox. It is evident there is a pressing need to develop national technologies for the rapid diagnosis of emerging diseases for mass testing of the population. It is extremely important to have national detection kits with greater diagnostic capacity to assist in developing effective public policies in countries affected by this disease.