The Experts below are selected from a list of 57822 Experts worldwide ranked by ideXlab platform

Valentino M Gantz - One of the best experts on this subject based on the ideXlab platform.

  • a transcomplementing gene drive provides a flexible platform for laboratory investigation and potential field deployment
    Nature Communications, 2020
    Co-Authors: Alena L Bishop, Hector Sanchez M C, Jared B Bennett, Xuechun Feng, John M Marshall, Ethan Bier, Valentino M Gantz
    Abstract:

    CRISPR-based gene drives can spread through wild populations by biasing their own transmission above the 50% value predicted by Mendelian inheritance. These technologies offer population-engineering solutions for combating vector-borne diseases, managing crop pests, and supporting ecosystem conservation efforts. Current technologies raise safety concerns for unintended gene propagation. Herein, we address such concerns by splitting the drive Components, Cas9 and gRNAs, into separate alleles to form a trans-complementing split–gene-drive (tGD) and demonstrate its ability to promote super-Mendelian inheritance of the separate transgenes. This dual-Component Configuration allows for combinatorial transgene optimization and increases safety by restricting escape concerns to experimentation windows. We employ the tGD and a small–molecule-controlled version to investigate the biology of Component inheritance and resistant allele formation, and to study the effects of maternal inheritance and impaired homology on efficiency. Lastly, mathematical modeling of tGD spread within populations reveals potential advantages for improving current gene-drive technologies for field population modification. Gene drives raise safety concerns around unintended propagation. Here the authors present a trans-complementing split-gene drive that requires inheritance of separate transgenes to assemble a fully functional drive.

R. Seshadri - One of the best experts on this subject based on the ideXlab platform.

  • Simplified Limit Load Estimation of Components With Cracks Using the Reference Two-Bar Structure
    Journal of Pressure Vessel Technology, 2008
    Co-Authors: R. Adibi-asl, R. Seshadri
    Abstract:

    Limit loads are determined in this paper by invoking the concept of equivalence of "static indeterminacy" that relates a multidimensional Component Configuration (with cracks) to a "reference two-bar structure." Simple scaling relationships are developed that enable rapid determination of limit loads. The method is applied to different crack Configurations, and the limit loads are compared with corresponding results obtained from inelastic finite element analysis.

  • Simplified Limit Load Estimation of Components With Cracks Using the Reference Two-Bar Structure
    Volume 2: Computer Applications Technology and Bolted Joints, 2007
    Co-Authors: R. Adibi-asl, R. Seshadri
    Abstract:

    Limit loads for different crack Configurations are determined in this paper by invoking the concept of equivalence of “static indeterminacy” that relates a multidimensional Component Configuration to a “reference two-bar structure.” Simple scaling relationships are developed that enable rapid determination of limit loads. The method is applied to different crack Configurations, and the limit loads are compared with corresponding results obtained from inelastic finite element analysis.Copyright © 2007 by ASME

  • Limit Loads of Pressure Components Using the Reference Two-Bar Structure
    Journal of Pressure Vessel Technology, 2006
    Co-Authors: R. Seshadri, R. Adibi-asl
    Abstract:

    Limit loads for mechanical Components and structures are determined in this paper by invoking the concept of equivalence of "static indeterminacy," which relates a multidimensional pressure Component Configuration to a "reference two-bar structure. " Simple scaling relationships are developed that enable the rapid determination of limit loads. The reference two-bar structure method is applied to a number of pressure Component Configurations with or without notches.

  • Simplified Limit Load Determination Using the Reference Two-Bar Structure
    Volume 2: Computer Technology, 2006
    Co-Authors: R. Seshadri, R. Adibi-asl
    Abstract:

    Limit loads for mechanical Components and structures are determined in this paper by invoking the concept of equivalence of “static indeterminacy” that relates a multidimensional pressure Component Configuration to a “reference two-bar structure.” Simple scaling relationships are developed that enable the rapid determination of limit load multipliers. The reference two-bar structure method is applied to a number of pressure Component Configurations with or without notches.Copyright © 2006 by ASME

  • Minimum Weight Design of Pressure Components Using R-Nodes
    Journal of Pressure Vessel Technology, 1997
    Co-Authors: Sathya Prasad Mangalaramanan, R. Seshadri
    Abstract:

    A simple procedure uses the r-nodes to achieve minimum weight design of mechanical Components and structures. The method is based on two linear elastic finite element analyses (or more) in order to arrive at a Component Configuration that would correspond to the minimum weight design. The proposed method is applied to pressure Component Configurations of practical interest.

Alena L Bishop - One of the best experts on this subject based on the ideXlab platform.

  • a transcomplementing gene drive provides a flexible platform for laboratory investigation and potential field deployment
    Nature Communications, 2020
    Co-Authors: Alena L Bishop, Hector Sanchez M C, Jared B Bennett, Xuechun Feng, John M Marshall, Ethan Bier, Valentino M Gantz
    Abstract:

    CRISPR-based gene drives can spread through wild populations by biasing their own transmission above the 50% value predicted by Mendelian inheritance. These technologies offer population-engineering solutions for combating vector-borne diseases, managing crop pests, and supporting ecosystem conservation efforts. Current technologies raise safety concerns for unintended gene propagation. Herein, we address such concerns by splitting the drive Components, Cas9 and gRNAs, into separate alleles to form a trans-complementing split–gene-drive (tGD) and demonstrate its ability to promote super-Mendelian inheritance of the separate transgenes. This dual-Component Configuration allows for combinatorial transgene optimization and increases safety by restricting escape concerns to experimentation windows. We employ the tGD and a small–molecule-controlled version to investigate the biology of Component inheritance and resistant allele formation, and to study the effects of maternal inheritance and impaired homology on efficiency. Lastly, mathematical modeling of tGD spread within populations reveals potential advantages for improving current gene-drive technologies for field population modification. Gene drives raise safety concerns around unintended propagation. Here the authors present a trans-complementing split-gene drive that requires inheritance of separate transgenes to assemble a fully functional drive.

José María Ponce-ortega - One of the best experts on this subject based on the ideXlab platform.

  • Thermo-economic-environmental optimization of a liquid separation condensation-based organic Rankine cycle driven by waste heat
    Journal of Cleaner Production, 2018
    Co-Authors: Yi Zhitong, Xianglong Luo, Zhi Yang, Chao Wang, Jianyong Chen, Ying Chen, José María Ponce-ortega
    Abstract:

    Abstract Organic Rankine cycle (ORC) is a promising thermal-to-power conversion technology utilizing low enthalpy renewable resources or waste heat energy. The coupling of environmental impact analysis and thermo-economic optimization is effective in evaluating and improving the comprehensive performance of the ORC. In the present study, a thermo-economic-environmental analysis and optimization methodology is proposed for the design of a waste heat driven ORC. A multi-objective mathematical programming model integrating the environmental impact and thermo-economic performance is formulated for the simultaneous optimization of the Component Configurations and operation parameters for a waste heat driven ORC. The objective functions include the minimization of the environmental impact and the maximization of the net power output. The specific investment cost is used to evaluate the economic performance of the ORC. A previous developed solution strategy is applied to solve the single objective optimization problem and the e-constrained method is applied to solve the multi-objective optimization model. A case study is elaborated to test the proposed methodology and the formulated model. The single objective optimization results demonstrate the contradiction between the environmental objective and the thermo-economic objective. The trade-off solutions are achieved by multi-objective optimization. The Pareto-frontier is elaborated to show how the material allocation, Component Configuration, and operation parameters are influenced by the objective functions. Finally, a sensitivity analysis of the life cycle inventory of raw materials on the optimization results is conducted.

Hector Sanchez M C - One of the best experts on this subject based on the ideXlab platform.

  • a transcomplementing gene drive provides a flexible platform for laboratory investigation and potential field deployment
    Nature Communications, 2020
    Co-Authors: Alena L Bishop, Hector Sanchez M C, Jared B Bennett, Xuechun Feng, John M Marshall, Ethan Bier, Valentino M Gantz
    Abstract:

    CRISPR-based gene drives can spread through wild populations by biasing their own transmission above the 50% value predicted by Mendelian inheritance. These technologies offer population-engineering solutions for combating vector-borne diseases, managing crop pests, and supporting ecosystem conservation efforts. Current technologies raise safety concerns for unintended gene propagation. Herein, we address such concerns by splitting the drive Components, Cas9 and gRNAs, into separate alleles to form a trans-complementing split–gene-drive (tGD) and demonstrate its ability to promote super-Mendelian inheritance of the separate transgenes. This dual-Component Configuration allows for combinatorial transgene optimization and increases safety by restricting escape concerns to experimentation windows. We employ the tGD and a small–molecule-controlled version to investigate the biology of Component inheritance and resistant allele formation, and to study the effects of maternal inheritance and impaired homology on efficiency. Lastly, mathematical modeling of tGD spread within populations reveals potential advantages for improving current gene-drive technologies for field population modification. Gene drives raise safety concerns around unintended propagation. Here the authors present a trans-complementing split-gene drive that requires inheritance of separate transgenes to assemble a fully functional drive.