ZnOTe Compounds Grown by DC-Magnetron Co-Sputtering

ZnOTe compounds were grown by DC magnetron cosputtering from pure Tellurium (Te) and Zinc (Zn) cathodes in O2/Ar atmosphere. The applied power on the Zn target was constant equal to 100 W, while the one applied on the Te target took two values, i.e., 5 W and 10 W. Thus, two sample series were obtained in which the variable parameter was the distance from the Te targets to the substrate. Sample compositions were determined by Rutherford Backscattering Spectroscopy (RBS) experiments. Structural analysis was done using X-Ray diffraction (XRD) spectrometry and the growth of the hexagonal w-ZnO phase was identified in the XRD spectra. RBS results showed high bulk homogeneity of the samples forming ZnOTe alloys, with variable Te molar fraction (MF) ranging from 0.48–0.6% and from 1.9–3.1% for the sample series obtained at 5 W and 10 W, respectively. The results reflect great differences between the two sample series, particularly from the structural and optical point of view. These experiments point to the possibility of Te doping ZnO with the permanence of intrinsic defects, as well as the possibility of the formation of other Te solid phases when its content increases. The results and appreciable variations in the band gap transitions were detected from Photoluminescence (PL) measurements.

Does “how” firms invest in corporate social responsibility matter? An attributional model of job seekers’ reactions to configurational variation in corporate social responsibility

Although corporate social responsibility (CSR) practices can increase firm attractiveness, this process can be undermined if CSR activities signal the “wrong” motives to job seekers. Yet, how these attributed motives form, and why job seekers are likely to infer favorable or unfavorable causal attributions underlying CSR activity, remain open questions. We draw on Kelley’s covariation model to address this gap. We develop and test an attributional model exploring job seekers’ reactions to distinct CSR attributional configurations derived from job seekers’ perceptions of CSR consensus, distinctiveness, and consistency. Across a multi-trait, multi-method, multi-sample series of four studies, we demonstrate that different CSR attributional configurations are related to discrete causal attributions (i.e. values-driven, strategic-driven, and egoistic-driven), which are associated with distinct perceptions and employment intentions. We address recent calls to open the “black box” of CSR causal attributions, deepening understanding of why job seekers might also respond negatively to CSR, and the (attributional) psychological processes driving these negative reactions.

From Traditional to Transmedia

Brands places products in the narrative series as part of the narrative, in the series on traditional media intended to reach the consumer. While television commercials are progressing along with narrative narration, transmedia presents the synergistic and co-ordinated nature of storytelling with entertainment, in a concerted and interrelated manner in different media circles. With transmedia storytelling, the customer is voluntarily involved. After studying transmedia narrative and transmedia narration, narration of transmedia on sample series, narration of continuing story of products in different media without placing product in serials is examined.

Sample series of direct running ceiling slabs in multifunctional buildings with their defects and analyzing the causes of these defects

With the aid of photographs· the report shows a range of damaged direct running ceiling slabs in multifunctional buildings· then analyses the cause of the defects and also gives instructions on how these arising defects could have been prevented or significantly reduced through a suitable design of the structure.

Precise label-free quantitative proteomes in high-throughput by microLC and data-independent SWATH acquisition

While quantitative proteomics is a key technology in biological research, the routine industry and diagnostics application is so far still limited by a moderate throughput, data consistency and robustness. In part, the restrictions emerge in the proteomics dependency on nanolitre/minute flow rate chromatography that enables a high sensitivity, but is difficult to handle on large sample series, and on the stochastic nature in data-dependent acquisition strategies. We here establish and benchmark a label-free, quantitative proteomics platform that uses microlitre/minute flow rate chromatography in combination with data-independent SWATH acquisition. Being able to largely compensate for the loss of sensitivity by exploiting the analytical capacities of microflow chromatography, we show that microLC-SWATH-MS is able to precisely quantify up to 4000 proteins in an hour or less, enables the consistent processing of sample series in high-throughput, and gains quantification precisions comparable to targeted proteomic assays. MicroLC-SWATH-MS can hence routinely process hundreds to thousands of samples to systematically create precise, label free quantitative proteomes.

Phase Transformations in Bulk (Ge2Se7)88Bi5Sb7

Annealing at 150 °C induces phase separation in amorphous (Ge2Se7)88Bi5Sb7 bulk samples. Spectrally resolved steady-state photoconductivity measurements indicate the presence of crystalline Bi2Se3 clusters in the annealed material, but also the subsequent gradual disappearance of this microstructure at room temperature. Similar annealing-induced metastable changes are observed in other elements of a (Ge2Se7)88BixSb12-x sample series.

Constructing long-term proxy series for aquatic environments with absolute dating control using a sclerochronological approach: introduction and advanced applications

The possibility of applying absolute dating techniques to annual growth increments from the hard parts of aquatic animals was examined. This was done using the theory of cross-dating, which was adopted from dendrochronological principles. Using two mollusc species as examples, the practical issues of the method were demonstrated. Empirical data were used to evaluate the different time series analysis techniques as follows. Biological growth trends were first captured from original time series using cubic splines. Dimensionless growth indices were obtained by extracting the observed growth values from the values of spline curves as ratios. The common growth signal among the index series was quantified visually and statistically. In statistical analysis, correlations between all possible pairs of indexed sample series and, alternatively, between sample series and master chronology (the average of all other remaining time series) were calculated. It was demonstrated that sample–master correlations were consistently higher than sample–sample correlations. Sclerochronologically cross-dated time series were proved to provide absolute dating of high-resolution proxy records that assessed environmental change in marine and freshwater settings. The wider applicability of the associated techniques is discussed, and it is suggested that use of the term ‘sclerochronology’ be restricted to refer only to material or studies for which careful cross-dating has been successfully applied.

Nanoliter Serum Sample Analysis by Mid-Infrared Spectroscopy for Minimally Invasive Blood-Glucose Monitoring

The aim of this study was to demonstrate that mid-infrared spectroscopy is able to quantify glucose in a serum matrix with sample volumes well below 1 μL. For this, we applied mid-infrared attenuated total reflectance (ATR) or transmission-based spectroscopic methods to glucose quantification in microsamples of dry-film sera, either undiluted or diluted 10 times in distilled water. The sample series spanned physiological glucose concentrations between 50 and 600 mg/dL and volumes of 80, 8, and 1 nL. Calibration was carried out using multivariate partial least-squares (PLS) modeling with spectral data between 1180 and 940 cm−1. Best performance was achieved in the ATR experiments. For raw ATR spectra, the optimum standard error of prediction (SEP) of 13.3 mg/dL was obtained for the 8 nL sample series with subsequent 10-fold dilution. With respect to the coefficient of variation of the glucose assay, CVpred, we obtained a value of 3% for the 80 nL volume samples with spectral preprocessing using matrix protein absorption bands as an internal standard, 4% for the 8 nL samples, and 6% for the 1 nL samples with raw data. Spectral standardization resulted in significant improvement, especially for the 80 nL volume sample series. By contrast, the accuracy of the glucose assay for the 1 nL sample volume series could not be improved either by internal standardization or by considering the dry film areas for normalization, which we attribute to varying topographies of the dry films.