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Rabbit skeletal muscle myosin light chain kinase. The calmodulin binding domain as a potential active site-directed inhibitory domain.

Journal ArticleA synthetic peptide modeled after the calmodulin (CaM)-binding domain of rabbit skeletal muscle myosin light chain kinase, Lys-Arg-Arg-Trp-Lys5-Lys-Asn-Phe-Ile-Ala10-Val-Ser-Ala-Ala-+ ++Asn15-Arg-Phe-Glycyl amide (M5), inhibited the CaM-independent chymotryptic fragment of the enzyme, C35 (Edelman, A. M., Takio, K., Blumenthal, D. K., Hansen, R. S., Walsh, K. A., Titani, K., and Krebs, E. G. (1985) J. Biol. Chem. 260, 11275-11285), with a Ki of 3.2 +/- 2.1 microM. Inhibition was competitive with respect to the peptide substrate Lys-Lys-Arg-Ala-Ala5-Arg-Ala-Thr-Ser-Asn10-Val-Phe-Ala and was of the noncompetitive linear mixed type with respect to ATP. M5 and homologues with a serine residue substituted at positions 9, 13, or 14 were phosphorylated with the following order of preference: M5(Ser9) greater than M5(Ser13) much greater than M5(Ser14) greater than M5. The order of preference observed agreed with that predicted by comparison of the sequence of these peptides with the phosphorylation sites of myosin P-light chains. Both inhibition of C35 by M5 and phosphorylation of M5 and its serine-substituted homologues were severely curtailed by the addition of a stoichiometric excess of CaM over peptide. Thus, synthetic peptides modeled after the CaM-binding domain of skeletal muscle myosin light chain kinase can function as calmodulin-regulated active site-directed inhibitors of the enzyme

Teleoperated visual inspection and surveillance with unmanned ground and aerial vehicles,” Int

Abstract—This paper introduces our robotic system named UGAV (Unmanned Ground-Air Vehicle) consisting of two semi-autonomous robot platforms, an Unmanned Ground Vehicle (UGV) and an Unmanned Aerial Vehicles (UAV). The paper focuses on three topics of the inspection with the combined UGV and UAV: (A) teleoperated control by means of cell or smart phones with a new concept of automatic configuration of the smart phone based on a RKI-XML description of the vehicles control capabilities, (B) the camera and vision system with the focus to real time feature extraction e.g. for the tracking of the UAV and (C) the architecture and hardware of the UAV

Implicit measurement of violence related cognitions

OBJECTIVE: Violence-related cognitions may underpin many acts of violence, but explicit self-report measures of these cognitions may be inadequate to assess them fully due to their unconscious nature or due to deliberate dissimulation. We designed three versions of the implicit association test (IAT) that separately examined violence-related associations to valence (good vs bad), hedonic-value (enjoy vs dislike) and arousal (exciting vs boring) and examined if these were associated with greater levels of past criminal activity and self-reported violence. METHOD: The three IATs were administered to an offender sample (N = 108) with a history of serious offending and a diagnosis of Personality Disorder. Violence was assessed via the Proactive and Reactive Aggression Questionnaire and by examination of previous convictions. RESULTS: The IATs showed good to moderate reliability. The valence-IAT did not show any significant correlations to the measures of previous violence. The hedonic value-IAT showed positive relationships with official records of convictions, especially among participants without a conviction for homicide. The arousal-IAT was positively related to self-reported aggression in those without a conviction for homicide. CONCLUSIONS: The results show some promise that indirect techniques may be able to measure violence-related cognitions

How behavioral economics can help to avoid ‘The last mile problem’ in whole genome sequencing

Editorial summary Failure to consider lessons from behavioral economics in the case of whole genome sequencing may cause us to run into the ‘last mile problem’ - the failure to integrate newly developed technology, on which billions of dollars have been invested, into society in a way that improves human behavior and decision-making

Fundamental noise dynamics in cascaded-order Brillouin lasers

The dynamics of cascaded-order Brillouin lasers make them ideal for applications such as rotation sensing, highly coherent optical communications, and low-noise microwave signal synthesis. Remark- ably, when implemented at the chip-scale, recent experimental studies have revealed that Brillouin lasers can operate in the fundamental linewidth regime where optomechanical and quantum noise sources dominate. To explore new opportunities for enhanced performance, we formulate a simple model to describe the physics of cascaded Brillouin lasers based on the coupled mode dynamics governed by electrostriction and the fluctuation-dissipation theorem. From this model, we obtain analytical formulas describing the steady state power evolution and accompanying noise properties, including expressions for phase noise, relative intensity noise and power spectra for beat notes of cascaded laser orders. Our analysis reveals that cascading modifies the dynamics of intermediate laser orders, yielding noise properties that differ from single-mode Brillouin lasers. These modifications lead to a Stokes order linewidth dependency on the coupled order dynamics and a broader linewidth than that predicted with previous single order theories. We also derive a simple analytical expression for the higher order beat notes that enables calculation of the Stokes linewidth based on only the relative measured powers between orders instead of absolute parameters, yielding a method to measure cascaded order linewidth as well as a prediction for sub-Hz operation. We validate our results using stochastic numerical simulations of the cascaded laser dynamics.Comment: 18 pages, 9 figure

Water Availability Dictates How Plant Traits Predict Demographic Rates

A major goal in ecology is to make generalizable predictions of organism responses to environmental variation based on their traits. However, straightforward relationships between traits and fitness are rare and likely to vary with environmental context. Characterizing how traits mediate demographic responses to the environment may enhance the predictions of organism responses to global change. We synthesized 15 years of demographic data and species-level traits in a shortgrass steppe to determine whether the effects of leaf and root traits on growth and survival depended on seasonal water availability. We predicted that (1) species with drought-tolerant traits, such as lower leaf turgor loss point (TLP) and higher leaf and root dry matter content (LDMC and RDMC), would be more likely to survive and grow in drier years due to higher wilting resistance, (2) these traits would not predict fitness in wetter years, and (3) traits that more directly measure physiological mechanisms of water use such as TLP would best predict demographic responses. We found that graminoids with more negative TLP and higher LDMC and RDMC had higher survival rates in drier years. Forbs demonstrated similar yet more variable responses. Graminoids grew larger in wetter years, regardless of traits. However, in both wet and dry years, graminoids with more negative TLP and higher LDMC and RDMC grew larger than less negative TLP and low LDMC and RDMC species. Traits significantly mediated the impact of drought on survival, but not growth, suggesting that survival could be a stronger driver of species\u27 drought response in this system. TLP predicted survival in drier years, but easier to measure LDMC and RDMC were equal or better predictors. These results advance our understanding of the mechanisms by which drought drives population dynamics, and show that abiotic context determines how traits drive fitness