Entwicklung einer Glucosedehydrogenase-basierten Anode und deren Anwendung in einer Glucose/O2-Biobrennstoffzelle

Unter Verwendung von mehrwandigen Kohlenstoffnanoröhren wurde in dieser Studie eine neuartige Anode zum Einsatz in Biobrennstoffzellen entwickelt. Dazu wurde das rekombinante Enzym Pyrrolochinolinchinon(PQQ)- abhängige Glucosedehydrogenase kovalent an eine aus PQQ bestehenden Zwischenschicht gekoppelt, welche zuvor an die Kohlenstoffnanoröhren adsorbiert war. Die Nanoröhren wurden aufgrund ihrer Thiolmodifikation chemisorptiv auf einer Goldelektrode gebunden. In glucosehaltiger Lösung konnte der Start eines katalytischen Stroms bei einem Potential von -80 mV vs. Ag/AgCl (1 MKCl) beobachtet werden. Unter Substratsättigung wurden Stromdichten im Bereich von 170 bis 200 μA/cm2 gemessen. Dieses System basiert auf einem mediatorvermittelten Elektronentransfer. Die entwickelte (PQQ)-GDH-MWCNT-Elektrode wurde mit einer MWCNT-modifizierten Elektrode kombiniert, bei der Bilirubinoxidase (BOD) als Biokatalysator fungiert. Daraus resultierte eine membranfreie Biobrennstoffzelle mit einem leichgewichtspotential von 600 mV und Leistungsdichten im Bereich von 20-25 μW/cm2.In this study a biofuel cell anode is developed on the basis of multi-walled carbon nanotubes (MWCNTs). Recombinant pyrroloquinoline quinone (PQQ) dependent glucose dehydrogenase is covalently coupled to a PQQ-layer which is adsorbed onto thiolmodified MWCNTs. The MWCNTs are chemisorbed to a gold electrode. In the presence of glucose a catalytic current starts at a potential of -80 mV vs. Ag/AgCl, 1 M KCl. Under substrate saturation current densities of 170 to 200 μA/cm2 can be achieved. The operation is based on mediated electron transfer of the enzyme. This (PQQ)-GDH-MWCNT-electrode is combined with a MWCNT-modifi ed electrode to which bilirubin oxidase (BOD) is covalently coupled. The resulting membrane-free biofuel cell has an open cell potential of 600 mV and can achieve power densities in the range of 20-25 μW/cm2

Constrained firms, not subsistence activities : Evidence on capital returns and accumulation in Peruvian microenterprises.

We present a multi-period model of capital accumulation in order to investigate microenterprise (ME) production dynamics in a developing country context characterized by credit constraints and risk. These constraints are reflected in marginal returns to capital above market interest rates and we show that capital accumulation is faster in MEs with higher productivity, higher initial wealth and less risk exposure. We test our predictions using panel data for Peruvian MEs from 2002 to 2006. We indeed find high marginal returns to capital and sizable effects of household non-business wealth and, in contrast to previous studies, risk on capital accumulation in MEs. The findings of this paper can serve as a basis for the promotion of combined credit and risk management devices to enhance private sector development

Constrained firms, not subsistence activities: evidence on capital returns and accumulation in Peruvian microenterprises

We investigate the returns to capital and capital accumulation using panel data of Peruvian micro enterprises (MEs). Marginal returns to capital are found to be very high at low levels of capital, but rapidly decreasing at higher levels. The dynamic analyses of capital accumulation in MEs suggest that credit constraints explain a major part of the variation in firm growth. We find a very large positive effect of household non-business wealth on capital stocks of MEs. We also show a sizable effect of risk on accumulation and pronounced interactions between wealth and risk. The presented evidence is consistent with poorly endowed entrepreneurs who operate in imperfect capital markets and a very risky environment

A Latent Class Analysis of University Lecturers’ Switch to Online Teaching during the First COVID-19 Lockdown: The Role of Educational Technology, Self-Efficacy, and Institutional Support

The switch to emergency remote teaching (ERT) due to the first COVID-19 lockdown demanded a lot from university lecturers yet did not pose the same challenge to all of them. This study sought to explain differences among lecturers (n = 796) from universities in France, Germany, Switzerland, and the UK in their use of educational technology for teaching, institutional support, and personal factors. Guided by the Social Cognitive Theory (SCT), lecturers’ behavior (educational technology use), environment (institutional support), and personal factors (ERT self-efficacy, continuance intentions, and demographics) were examined. Latent class analysis was employed to identify different types of lecturers in view of educational technology use, while multinomial regression and Wald chi-square test were used to distinguish classes. The largest latent class were Presenters (45.6%), who focused on content delivery, followed by Strivers (22.1%), who strived for social interaction, Routineers (19.6%), who were ready for online teaching, and Evaders (12.7%), who evaded using technology for educational purposes. Both personal factors and perceived institutional support explained class membership significantly. Accordingly, Evaders were older, less experienced, and rarely perceived institutional support as useful. Routineers, the Evaders’ counterparts, felt most self-efficient in ERT and held the highest continuance intentions for educational technology use. This research suggests that universities engage lecturers in evidence-based professional development that seeks shared visions of digital transformation, networks and communities, and design-based researc

To relate surface properties and surface elemental composition - Application of XPS in soil science

Soil particles always are coated by thin layers (nm to µm) of predominantly organic compounds that form the interface between particle and pore space and govern soil functioning (e.g. liquid transport, sorption, respiration). Chemical modification of the surface layer can change surface properties such as wettability (quantified in terms of contact angle CA) with implications for e.g. liquid distribution and sorption capacity. This points to the importance to specifically analyze the coating's chemical composition in order to better understand soil functioning. The shallow analysis depth (max. 10 nm) indicates X ray photoelectron spectroscopy (XPS) as a suitable tool. Here, all elements with Z ≥ 3 will be identified by the binding energy of the photoelectrons emitted after irradiation of the surface by X rays. In sensu stricto only applicable to flat and smooth surfaces our results so far prove applicability of XPS as well to rough surfaces such as soil particles. For XPS no sample pre-treatment is needed, i.e. the surfaces analyzed are those governing e.g. CA and sorption. The relation between surface elemental composition and CA could be demonstrated within a soil chronosequence where the changes of surface element contents due to an increasing coating of the particles by organic compounds and microorganisms were correlated to increasing CA. The surface O/C ratio could be identified as a general parameter linking surface chemical composition and CA for a wide range of different materials including hydrophobized glass slides while the amount of non-polar C species was indicated to define CA. Artificially induced modifications of surface properties became visible by changes in the surface elemental composition. Gentle crushing of soil microaggregates (SMA) resulted in slightly increased N contents hinting on a preferred location of N compounds within SMA. Exposition to HCl gas to decrease soil pH or cleaning of quartz sand by HCl treatment resulted in addition of Cl and removal of Fe, respectively. However, due to its high surface sensitivity XPS measures the presence of C species on all surfaces exposed to the environment (adventitious carbon AC). AC was found to complicate the verification of sorption of small amounts of organic acids to montmorillonite, pointing on the necessity to estimate the influence of AC in certain cases. On the other hand, detection of AC indicates AC as a factor to be considered when discussing surface properties

Latent Class Analysis of University Lecturers' Switch to Online Teaching during the First COVID-19 Lockdown: The Role of Educational Technology, Self-Efficacy, and Institutional Support

The switch to emergency remote teaching (ERT) due to the first COVID-19 lockdown demanded a lot from university lecturers yet did not pose the same challenge to all of them. This study sought to explain differences among lecturers ( n = 796) from universities in France, Germany, Switzerland, and the UK in their use of educational technology for teaching, institutional support, and personal factors. Guided by the Social Cognitive Theory (SCT), lecturers' behavior (educational technology use), environment (institutional support), and personal factors (ERT self-efficacy, continuance intentions, and demographics) were examined. Latent class analysis was employed to identify different types of lecturers in view of educational technology use, while multinomial regression and Wald chi-square test were used to distinguish classes. The largest latent class were Presenters (45.6%), who focused on content delivery, followed by Strivers (22.1%), who strived for social interaction, Routineers (19.6%), who were ready for online teaching, and Evaders (12.7%), who evaded using technology for educational purposes. Both personal factors and perceived institutional support explained class membership significantly. Accordingly, Evaders were older, less experienced, and rarely perceived institutional support as useful. Routineers , the Evaders' counterparts, felt most self-efficient in ERT and held the highest continuance intentions for educational technology use. This research suggests that universities engage lecturers in evidence-based professional development that seeks shared visions of digital transformation, networks and communities, and design-based research

An item sorting heuristic to derive equivalent parallel test versions from multivariate items.

Parallel test versions require a comparable degree of difficulty and must capture the same characteristics using different items. This can become challenging when dealing with multivariate items, which are for example very common in language or image data. Here, we propose a heuristic to identify and select similar multivariate items for the generation of equivalent parallel test versions. This heuristic includes: 1. inspection of correlations between variables; 2. identification of outlying items; 3. application of a dimension-reduction method, such as for example principal component analysis (PCA); 4. generation of a biplot, in case of PCA of the first two principal components (PC), and grouping the displayed items; 5. assigning of the items to parallel test versions; and 6. checking the resulting test versions for multivariate equivalence, parallelism, reliability, and internal consistency. To illustrate the proposed heuristic, we applied it exemplarily on the items of a picture naming task. From a pool of 116 items, four parallel test versions were derived, each containing 20 items. We found that our heuristic can help to generate parallel test versions that meet requirements of the classical test theory, while simultaneously taking several variables into account

How space-number associations may be created in preliterate children : six distinct mechanisms

The directionality of space-number association (SNA) is shaped by cultural experiences. It usually follows the culturally dominant reading direction. Smaller numbers are generally associated with the starting side for reading (left side in Western cultures), while larger numbers are associated with the right endpoint side. However, SNAs consistent with cultural reading directions are present before children can actually read and write. Therefore, these SNAs cannot only be shaped by the direction of children's own reading/writing behavior. We propose six distinct processes - one biological and five cultural/educational - underlying directional SNAs before formal reading acquisition: (i) Brain lateralization, (ii) Monitoring adult reading behavior, (iii) Pretend reading and writing, and rudimentary reading and writing skills, (iv) Dominant attentional directional preferences in a society, not directly related to reading direction, (v) Direct spatial-numerical learning, (vi) Other spatial-directional processes independent of reading direction. In this mini-review, we will differentiate between these processes, elaborate when in development they might emerge, discuss how they may create the SNAs observed in preliterate children and propose how they can be studied in the future

Electron-phonon renormalization of the absorption edge of the cuprous halides

Compared to most tetrahedral semiconductors, the temperature dependence of the absorption edges of the cuprous halides (CuCl, CuBr, CuI) is very small. CuCl and CuBr show a small increase of the gap $E_0$ with increasing temperature, with a change in the slope of $E_0$ vs. $T$ at around 150 K: above this temperature, the variation of $E_0$ with $T$ becomes even smaller. This unusual behavior has been clarified for CuCl by measurements of the low temperature gap vs. the isotopic masses of both constituents, yielding an anomalous negative shift with increasing copper mass. Here we report the isotope effects of Cu and Br on the gap of CuBr, and that of Cu on the gap of CuI. The measured isotope effects allow us to understand the corresponding temperature dependences, which we also report, to our knowledge for the first time, in the case of CuI. These results enable us to develop a more quantitative understanding of the phenomena mentioned for the three halides, and to interpret other anomalies reported for the temperature dependence of the absorption gap in copper and silver chalcogenides; similarities to the behavior observed for the copper chalcopyrites are also pointed out.Comment: 14 pages, 5 figures, submitted to Phys. Rev.

The Turkey Ig-like receptor family: identification, expression and function.

The chicken leukocyte receptor complex located on microchromosome 31 encodes the chicken Ig-like receptors (CHIR), a vastly expanded gene family which can be further divided into three subgroups: activating CHIR-A, bifunctional CHIR-AB and inhibitory CHIR-B. Here, we investigated the presence of CHIR homologues in other bird species. The available genome databases of turkey, duck and zebra finch were screened with different strategies including BLAST searches employing various CHIR sequences, and keyword searches. We could not identify CHIR homologues in the distantly related zebra finch and duck, however, several partial and complete sequences of CHIR homologues were identified on chromosome 3 of the turkey genome. They were designated as turkey Ig-like receptors (TILR). Using cDNA derived from turkey blood and spleen RNA, six full length TILR could be amplified and further divided according to the typical sequence features into one activating TILR-A, one inhibitory TILR-B and four bifunctional TILR-AB. Since the TILR-AB sequences all displayed the critical residues shown to be involved in binding to IgY, we next confirmed the IgY binding using a soluble TILR-AB1-huIg fusion protein. This fusion protein reacted with IgY derived from various gallinaceous birds, but not with IgY from other bird species. Finally, we tested various mab directed against CHIR for their crossreactivity with either turkey or duck leukocytes. Whereas no staining was detectable with duck cells, the CHIR-AB1 specific mab 8D12 and the CHIR-A2 specific mab 13E2 both reacted with a leukocyte subpopulation that was further identified as thrombocytes by double immunofluorescence employing B-cell, T-cell and thrombocyte specific reagents. In summary, although the turkey harbors similar LRC genes as the chicken, their distribution seems to be distinct with predominance on thrombocytes rather than lymphocytes