The Experts below are selected from a list of 111 Experts worldwide ranked by ideXlab platform

Louis P Halamek - One of the best experts on this subject based on the ideXlab platform.

  • modification of the neonatal resuscitation Program Algorithm for resuscitation of conjoined twins
    American Journal of Perinatology, 2015
    Co-Authors: Janene H Fuerch, Nicole K Yamada, Louis P Halamek
    Abstract:

    There are no national or international guidelines for the resuscitation of conjoined twins. We have described how the U.S. Neonatal Resuscitation Program Algorithm can be modified for delivery room resuscitation of omphaloischiopagus conjoined twins. In planning for the delivery and resuscitation of these patients, we considered the challenges of providing cardiopulmonary support to preterm conjoined twins in face-to-face orientation and with shared circulation via a fused liver and single umbilical cord. We also demonstrate how in situ simulation can be used to prepare a large, multidisciplinary team of health care professionals to deliver safe, efficient, and effective care to such patients.

  • impact of a novel decision support tool on adherence to neonatal resuscitation Program Algorithm
    Resuscitation, 2015
    Co-Authors: Janene H Fuerch, Nicole K Yamada, Peter Coelho, Henry C Lee, Louis P Halamek
    Abstract:

    Abstract Aim Studies have shown that healthcare professionals (HCPs) display a 16–55% error rate in adherence to the Neonatal Resuscitation Program (NRP) Algorithm. The aim of this study was to evaluate adherence to the Neonatal Resuscitation Program Algorithm by subjects working from memory as compared to subjects using a decision support tool that provides auditory and visual prompts to guide implementation of the Neonatal Resuscitation Program Algorithm during simulated neonatal resuscitation. Methods Healthcare professionals (physicians, nurse practitioners, obstetrical/neonatal nurses) with a current NRP card were randomized to the control or intervention group and performed three simulated neonatal resuscitations. The scenarios were evaluated for the initiation and cessation of positive pressure ventilation (PPV) and chest compressions (CC), as well as the frequency of FiO 2 adjustment. The Wilcoxon rank sum test was used to compare a score measuring the adherence of the control and intervention groups to the Neonatal Resuscitation Program Algorithm. Results Sixty-five healthcare professionals were recruited and randomized to the control or intervention group. Positive pressure ventilation was performed correctly 55–80% of the time in the control group vs. 94–95% in the intervention group across all three scenarios ( p p 2 was addressed three times more frequently in the intervention group compared to the control group ( p Conclusions Healthcare professionals using a decision support tool exhibit significantly fewer deviations from the Neonatal Resuscitation Program Algorithm compared to those working from memory alone during simulated neonatal resuscitation.

A Visconti - One of the best experts on this subject based on the ideXlab platform.

  • analytical model for the electron injection statistics during Programming of nanoscale nand flash memories
    IEEE Transactions on Electron Devices, 2008
    Co-Authors: Christian Monzio Compagnoni, A S Spinelli, R Gusmeroli, A Visconti
    Abstract:

    We present a detailed analytical modeling for the constant-current Fowler-Nordheim Program operation of NAND flash memories, able to describe both the average transient of the cell threshold voltage and its statistical spread due to the granular nature of the electron current flowing through the cell tunnel oxide. We analytically investigate the electron-injection process, highlighting that the steepness of the tunneling current versus floating-gate voltage characteristics and the control-gate to floating-gate capacitance give the field feedback factor, determining the average number of injected electrons at which the injection process becomes sub-Poissonian. Finally, we show that cell scaling will reduce the achievable accuracy of the Program Algorithm, due to the reduction in the number of electrons controlling cell state.

  • ultimate accuracy for the nand flash Program Algorithm due to the electron injection statistics
    IEEE Transactions on Electron Devices, 2008
    Co-Authors: Monzio C Compagnoni, A S Spinelli, R Gusmeroli, S Beltrami, A Ghetti, A Visconti
    Abstract:

    This paper investigates the ultimate accuracy of the NAND flash Program Algorithm that is determined by the statistical injection of electrons from the substrate to the floating gate. The granular nature of the electron flow during a constant-current Fowler-Nordheim Program operation is shown to spread the Programmed threshold-voltage distribution of the array cells. The electron injection statistics displays a Poissonian behavior for low amounts of transferred charge, but a sub-Poissonian character becomes clearly evident when large charge packets are stored. This effect is expected from the reduction of the tunnel oxide field that follows each electron storage event into the floating gate, establishing a correlation among such events. Finally, the impact of the electron injection statistical spread on the accuracy of the NAND flash Program Algorithm is investigated as a function of the technology node feature size, drawing projections on future NAND technologies.

Nicole K Yamada - One of the best experts on this subject based on the ideXlab platform.

  • modification of the neonatal resuscitation Program Algorithm for resuscitation of conjoined twins
    American Journal of Perinatology, 2015
    Co-Authors: Janene H Fuerch, Nicole K Yamada, Louis P Halamek
    Abstract:

    There are no national or international guidelines for the resuscitation of conjoined twins. We have described how the U.S. Neonatal Resuscitation Program Algorithm can be modified for delivery room resuscitation of omphaloischiopagus conjoined twins. In planning for the delivery and resuscitation of these patients, we considered the challenges of providing cardiopulmonary support to preterm conjoined twins in face-to-face orientation and with shared circulation via a fused liver and single umbilical cord. We also demonstrate how in situ simulation can be used to prepare a large, multidisciplinary team of health care professionals to deliver safe, efficient, and effective care to such patients.

  • impact of a novel decision support tool on adherence to neonatal resuscitation Program Algorithm
    Resuscitation, 2015
    Co-Authors: Janene H Fuerch, Nicole K Yamada, Peter Coelho, Henry C Lee, Louis P Halamek
    Abstract:

    Abstract Aim Studies have shown that healthcare professionals (HCPs) display a 16–55% error rate in adherence to the Neonatal Resuscitation Program (NRP) Algorithm. The aim of this study was to evaluate adherence to the Neonatal Resuscitation Program Algorithm by subjects working from memory as compared to subjects using a decision support tool that provides auditory and visual prompts to guide implementation of the Neonatal Resuscitation Program Algorithm during simulated neonatal resuscitation. Methods Healthcare professionals (physicians, nurse practitioners, obstetrical/neonatal nurses) with a current NRP card were randomized to the control or intervention group and performed three simulated neonatal resuscitations. The scenarios were evaluated for the initiation and cessation of positive pressure ventilation (PPV) and chest compressions (CC), as well as the frequency of FiO 2 adjustment. The Wilcoxon rank sum test was used to compare a score measuring the adherence of the control and intervention groups to the Neonatal Resuscitation Program Algorithm. Results Sixty-five healthcare professionals were recruited and randomized to the control or intervention group. Positive pressure ventilation was performed correctly 55–80% of the time in the control group vs. 94–95% in the intervention group across all three scenarios ( p p 2 was addressed three times more frequently in the intervention group compared to the control group ( p Conclusions Healthcare professionals using a decision support tool exhibit significantly fewer deviations from the Neonatal Resuscitation Program Algorithm compared to those working from memory alone during simulated neonatal resuscitation.

Janene H Fuerch - One of the best experts on this subject based on the ideXlab platform.

  • modification of the neonatal resuscitation Program Algorithm for resuscitation of conjoined twins
    American Journal of Perinatology, 2015
    Co-Authors: Janene H Fuerch, Nicole K Yamada, Louis P Halamek
    Abstract:

    There are no national or international guidelines for the resuscitation of conjoined twins. We have described how the U.S. Neonatal Resuscitation Program Algorithm can be modified for delivery room resuscitation of omphaloischiopagus conjoined twins. In planning for the delivery and resuscitation of these patients, we considered the challenges of providing cardiopulmonary support to preterm conjoined twins in face-to-face orientation and with shared circulation via a fused liver and single umbilical cord. We also demonstrate how in situ simulation can be used to prepare a large, multidisciplinary team of health care professionals to deliver safe, efficient, and effective care to such patients.

  • impact of a novel decision support tool on adherence to neonatal resuscitation Program Algorithm
    Resuscitation, 2015
    Co-Authors: Janene H Fuerch, Nicole K Yamada, Peter Coelho, Henry C Lee, Louis P Halamek
    Abstract:

    Abstract Aim Studies have shown that healthcare professionals (HCPs) display a 16–55% error rate in adherence to the Neonatal Resuscitation Program (NRP) Algorithm. The aim of this study was to evaluate adherence to the Neonatal Resuscitation Program Algorithm by subjects working from memory as compared to subjects using a decision support tool that provides auditory and visual prompts to guide implementation of the Neonatal Resuscitation Program Algorithm during simulated neonatal resuscitation. Methods Healthcare professionals (physicians, nurse practitioners, obstetrical/neonatal nurses) with a current NRP card were randomized to the control or intervention group and performed three simulated neonatal resuscitations. The scenarios were evaluated for the initiation and cessation of positive pressure ventilation (PPV) and chest compressions (CC), as well as the frequency of FiO 2 adjustment. The Wilcoxon rank sum test was used to compare a score measuring the adherence of the control and intervention groups to the Neonatal Resuscitation Program Algorithm. Results Sixty-five healthcare professionals were recruited and randomized to the control or intervention group. Positive pressure ventilation was performed correctly 55–80% of the time in the control group vs. 94–95% in the intervention group across all three scenarios ( p p 2 was addressed three times more frequently in the intervention group compared to the control group ( p Conclusions Healthcare professionals using a decision support tool exhibit significantly fewer deviations from the Neonatal Resuscitation Program Algorithm compared to those working from memory alone during simulated neonatal resuscitation.

A S Spinelli - One of the best experts on this subject based on the ideXlab platform.

  • analytical model for the electron injection statistics during Programming of nanoscale nand flash memories
    IEEE Transactions on Electron Devices, 2008
    Co-Authors: Christian Monzio Compagnoni, A S Spinelli, R Gusmeroli, A Visconti
    Abstract:

    We present a detailed analytical modeling for the constant-current Fowler-Nordheim Program operation of NAND flash memories, able to describe both the average transient of the cell threshold voltage and its statistical spread due to the granular nature of the electron current flowing through the cell tunnel oxide. We analytically investigate the electron-injection process, highlighting that the steepness of the tunneling current versus floating-gate voltage characteristics and the control-gate to floating-gate capacitance give the field feedback factor, determining the average number of injected electrons at which the injection process becomes sub-Poissonian. Finally, we show that cell scaling will reduce the achievable accuracy of the Program Algorithm, due to the reduction in the number of electrons controlling cell state.

  • ultimate accuracy for the nand flash Program Algorithm due to the electron injection statistics
    IEEE Transactions on Electron Devices, 2008
    Co-Authors: Monzio C Compagnoni, A S Spinelli, R Gusmeroli, S Beltrami, A Ghetti, A Visconti
    Abstract:

    This paper investigates the ultimate accuracy of the NAND flash Program Algorithm that is determined by the statistical injection of electrons from the substrate to the floating gate. The granular nature of the electron flow during a constant-current Fowler-Nordheim Program operation is shown to spread the Programmed threshold-voltage distribution of the array cells. The electron injection statistics displays a Poissonian behavior for low amounts of transferred charge, but a sub-Poissonian character becomes clearly evident when large charge packets are stored. This effect is expected from the reduction of the tunnel oxide field that follows each electron storage event into the floating gate, establishing a correlation among such events. Finally, the impact of the electron injection statistical spread on the accuracy of the NAND flash Program Algorithm is investigated as a function of the technology node feature size, drawing projections on future NAND technologies.