Rhodium(II)-catalyzed stereocontrolled synthesis of dihydrofuran-3-imines from 1-Tosyl-1,2,3-triazoles

Rhodium(II) acetate catalyzes the denitrogenative transformation of 5-substituted and 4,5-disubstituted 1-sulfonyl-1,2,3-triazoles with pendent allyl and propargyl ether motifs to oxonium ylides that undergo [2,3]-sigmatropic rearrangement to give substituted dihydrofuran-3-imines in high yield and diastereoselectivity

The Normative Problem of Merit Goods in Perspective

In his Theory of Public Finance (1959), Musgrave invented the concept of merit wants to describe public wants that are satisfied by goods provided by the government in violation of the principle of consumer sovereignty. Starting from Musgrave’s mature discussion (1987), I construct two categories to classify the explanations of merit goods. The first strand of thought attempts to justify merit goods within the New welfare economics, by modifying its assumptions to accommodate irrationality, uncertainty, lack of information, and psychic externalities. The second category encompasses more radical departures from consumer sovereignty, drawn from philosophical critiques of economics. In the third part of the paper, I argue that the two strands might be represented by a non-individualistic social welfare function. I also show how this solution echoes Musgrave’s early views on public expenditures before he coined the concept of merit wants. From an historical perspective, the survival of the concept highlights the persistence of a social point of view in welfare economics

Teacher expectation effects on need-supportive teaching, student motivation, and engagement: a self-determination perspective

Previous research has shown that teachers differentiate their behaviour based on their expectations of students. Self-determination theory (SDT) makes explicit how teacher behaviour relates to students’ motivation and engagement, namely, via need-supportive teaching. In the present study, we combined both research traditions and examined associations of teacher expectations with need-supportive teaching and thereby students’ motivation and engagement. Two-hundred-and-seventy-six secondary school students and their teachers (N = 11) completed questionnaires. The results indicated that teacher expectations were moderately but positively associated with students’ intrinsic motivation and engagement, and negatively with amotivation. These relationships were fully mediated, although with small effect sizes, by need-supportive teaching. These findings highlight the value of combining research on teacher expectations and SDT, to gain further understanding of how teacher expectations may cause teachers to provide more need support to some students than to others, thereby affecting students’ motivation and engagement

Future Cities- Analyse van het hitte-eilandeffect op Arnhem

Om vast te stellen of steden in Nederland ook hitte-eilanden zijn, is in augustus 2009, zowel in Arnhem als in Rotterdam, een temperatuurmeting uitgevoerd. Met een bakfiets vol meet apparatuur heeft Wageningen Universiteit op hete dagen in en om Arnhem en Rotterdam gefietst en is de temperatuur gemeten. Uit de voorlopige resultaten blijkt dat er sprake is van een temperatuurverschil van maximaal 7 °C tussen de temperatuur binnen en buiten de stad. Dit verschil is zowel in Arnhem als in Rotterdam aangetroffen. De omvang van de stad lijkt er niet toe te doen. Maar wat dan wel? Wat veroorzaakt nu het hitte-eilandeffect voor een stad als Arnhem

Sequence comparison, molecular modeling, and network analysis predict structural diversity in cysteine proteases from the Cape sundew, Drosera capensis

Carnivorous plants represent a so far underexploited reservoir of novel proteases with potentially useful activities. Here we investigate 44 cysteine proteases from the Cape sundew, Drosera capensis, predicted from genomic DNA sequences. D. capensis has a large number of cysteine protease genes; analysis of their sequences reveals homologs of known plant proteases, some of which are predicted to have novel properties. Many functionally significant sequence and structural features are observed, including targeting signals and occluding loops. Several of the proteases contain a new type of granulin domain. Although active site residues are conserved, the sequence identity of these proteases to known proteins is moderate to low; therefore, comparative modeling with all-atom refinement and subsequent atomistic MD-simulation is used to predict their 3D structures. The structure prediction data, as well as analysis of protein structure networks, suggest multifarious variations on the papain-like cysteine protease structural theme. This in silico methodology provides a general framework for investigating a large pool of sequences that are potentially useful for biotechnology applications, enabling informed choices about which proteins to investigate in the laboratory

Sequence comparison, molecular modeling, and network analysis predict structural diversity in cysteine proteases from the Cape sundew, Drosera capensis.

Carnivorous plants represent a so far underexploited reservoir of novel proteases with potentially useful activities. Here we investigate 44 cysteine proteases from the Cape sundew, Drosera capensis, predicted from genomic DNA sequences. D. capensis has a large number of cysteine protease genes; analysis of their sequences reveals homologs of known plant proteases, some of which are predicted to have novel properties. Many functionally significant sequence and structural features are observed, including targeting signals and occluding loops. Several of the proteases contain a new type of granulin domain. Although active site residues are conserved, the sequence identity of these proteases to known proteins is moderate to low; therefore, comparative modeling with all-atom refinement and subsequent atomistic MD-simulation is used to predict their 3D structures. The structure prediction data, as well as analysis of protein structure networks, suggest multifarious variations on the papain-like cysteine protease structural theme. This in silico methodology provides a general framework for investigating a large pool of sequences that are potentially useful for biotechnology applications, enabling informed choices about which proteins to investigate in the laboratory