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7,277
result(s) for
"Programm"
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Apollo to the Moon: a history in 50 objects
by
Muir-Harmony, Teasel E., author
,
Collins, Michael, 1930- author of introduction, etc
,
National Air and Space Museum
in
Project Apollo (U.S.) History.
,
Project Apollo (U.S.)
,
Space flight to the moon History.
2018
\"A celebration of the 50th anniversary of NASA's Apollo missions to the moon, this narrative uses 50 key artifacts from the Smithsonian archives to tell the story of the groundbreaking space exploration program. Bold photographs, fascinating graphics, and engaging stories commemorate the 20th century's most important space endeavor: NASA's Apollo program to reach the moon. From the lunar rover and an emergency oxygen mask to space food and moon rocks, it's a carefully curated array of objects--complete with intriguing back stories and profiles of key participants. This book showcases the historic space exploration program that landed humans on the moon, advanced the world's capabilities for space travel, and revolutionized our sense of humanity's place in the universe. Each historic accomplishment is symbolized by a different object, from a Russian stamp honoring Yuri Gagarin and plastic astronaut action figures to the Apollo 11 command module, piloted by Michael Collins as Armstrong and Aldrin made the first moonwalk, together with the monumental art inspired by these moon missions. Throughout, Apollo to the Moon also tells the story of people who made the journey possible: the heroic astronauts as well as their supporters, including President John F. Kennedy, newsman Walter Cronkite, and NASA scientists such as Margaret Hamilton\"-- Provided by publisher.
Computer program for single sampling plans by variables with known lot standard deviation
by
Eftimie, N
2021
The paper presents a computer program that can be used at design and application of single sampling plans by variables when the standard deviation of the lot is known. The developed program may be applied for quality characteristics with one single or two specification limits. When the quality characteristics have two specification limits, the program determines if two separate plans with one specification limit may be applied for making the decision about the lot acceptance or rejection, and takes into account all the cases that may appear in this situation. The computer program calculates first the plan parameters and then, using the sample measurements, makes the decision about the lot acceptance or rejection. Besides the program presentation, the paper also presents several examples that cover all cases of its utilization.
Journal Article
EzColocalization: An ImageJ plugin for visualizing and measuring colocalization in cells and organisms
2018
Insight into the function and regulation of biological molecules can often be obtained by determining which cell structures and other molecules they localize with (
i.e
. colocalization). Here we describe an open source plugin for ImageJ called EzColocalization to visualize and measure colocalization in microscopy images. EzColocalization is designed to be easy to use and customize for researchers with minimal experience in quantitative microscopy and computer programming. Features of EzColocalization include: (i) tools to select individual cells and organisms from images; (ii) filters to select specific types of cells and organisms based on physical parameters and signal intensity; (iii) heat maps and scatterplots to visualize the localization patterns of reporters; (iv) multiple metrics to measure colocalization for two or three reporters; (v) metric matrices to systematically measure colocalization at multiple combinations of signal intensity thresholds; and (vi) data tables that provide detailed information on each cell in a sample. These features make EzColocalization well-suited for experiments with low reporter signal, complex patterns of localization, and heterogeneous populations of cells and organisms.
Journal Article
Trauma-Informed Social Work Practice
2017
Social workers frequently encounter clients with a history of trauma. Trauma-informed care is a way of providing services by which social workers recognize the prevalence of early adversity in the lives of clients, view presenting problems as symptoms of maladaptive coping, and understand how early trauma shapes a client's fundamental beliefs about the world and affects his or her psychosocial functioning across the life span. Trauma-informed social work incorporates core principles of safety, trust, collaboration, choice, and empowerment and delivers services in a manner that avoids inadvertently repeating unhealthy interpersonal dynamics in the helping relationship. Trauma-informed social work can be integrated into all sorts of existing models of evidence-based services across populations and agency settings, can strengthen the therapeutic alliance, and facilitates posttraumatic growth.
Journal Article
A review of artificial neural network learning rule based on multiple variant of conjugate gradient approaches
by
Marina, Y
,
Farizawani, AG
,
Rivaie, A
in
Algorithms
,
Artificial Neural Network
,
Artificial neural networks
2020
The evolution of Artificial Neural Network (ANN) begins in1940s when McCulloch and Pitts published research articles in 1943 discussing about the idea of neural network in general. Basically, the concept of ANN has been inspired by biological human brain model. Then, this concept is transformed into a mathematical formulation and lastly become a machine learning used to solve many problems in this world. Mathematic formulations, design concept, algorithm and computer program can be constructed from ANN. Artificial neural network had undergone many changes on its algorithm and its execution. Otherwise, areas of applications are numerous involving different techniques and approaches of algorithms. ANN algorithm use optimization techniques as a way to find the best outcome based on the problem to be solved. Conjugate Gradient (CG) is one of the popular optimization practices used in ANN to improve learning algorithm nowadays. Therefore, this paper is intended to find out the function and role of modified conjugate gradient method in neural networks and potential related approaches along the age of its advancement. This paper also projected to give an overview approach of ANN with CG method especially on modified CG and overalls performances of those selected models.
Journal Article
Quantum circuits cannot control unknown operations
2014
One of the essential building blocks of classical computer programs is the 'if' clause, which executes a subroutine depending on the value of a control variable. Similarly, several quantum algorithms rely on applying a unitary operation conditioned on the state of a control system. Here we show that this control cannot be performed by a quantum circuit if the unitary is completely unknown. The task remains impossible even if we allow the control to be done modulo a global phase. However, this no-go theorem does not prevent implementing quantum control of unknown unitaries in practice, as any physical implementation of an unknown unitary provides additional information that makes the control possible. We then argue that one should extend the quantum circuit formalism to capture this possibility in a straightforward way. This is done by allowing unknown unitaries to be applied to subspaces and not only to subsystems.
Journal Article
Nonlinear dynamic analysis of hysteretic mechanical systems by combining a novel rate-independent model and an explicit time integration method
by
Rosati, Luciano
,
Vaiana, Nicolò
,
Marmo, Francesco
in
Acceleration
,
Accuracy
,
Automotive Engineering
2019
This paper presents a computational strategy that combines a novel rate-independent phenomenological model with an explicit time integration method to efficiently perform nonlinear dynamic analyses of non-stiffening hysteretic mechanical systems. The novel rate-independent model, developed by specializing a general class of uniaxial phenomenological models, has an algebraic nature, is based on a set of only three parameters having a clear mechanical significance, and can be easily implemented in a computer program. The adopted explicit structure-dependent time integration method, belonging to the Chang’s family of explicit methods, is unconditionally stable for all non-stiffening hysteretic mechanical systems, has a second-order accuracy, does not suffer from numerical damping, and displays a small relative period error for small time step. Furthermore, it does not require iterative procedures and, consequently, does not suffer from convergence issues. Numerical accuracy and computational efficiency of the proposed procedure are assessed by performing several nonlinear time history analyses on hysteretic mechanical systems and comparing the results with those obtained by employing a conventional strategy based on the celebrated Bouc–Wen model, or its modified version, and the widely used Newmark’s constant average acceleration method.
Journal Article
Catalog of energy patterns for mobile applications
2019
Software engineers make use of design patterns for reasons that range from performance to code comprehensibility. Several design patterns capturing the body of knowledge of best practices have been proposed in the past, namely creational, structural and behavioral patterns. However, with the advent of mobile devices, it becomes a necessity a catalog of design patterns for energy efficiency. In this work, we inspect commits, issues and pull requests of 1027 Android and 756 iOS apps to identify common practices when improving energy efficiency. This analysis yielded a catalog, available online, with 22 design patterns related to improving the energy efficiency of mobile apps. We argue that this catalog might be of relevance to other domains such as Cyber-Physical Systems and Internet of Things. As a side contribution, an analysis of the differences between Android and iOS devices shows that the Android community is more energy-aware.
Journal Article
Precision predictions for electroweak superpartner production at hadron colliders with Resummino
by
Rothering, Marcel
,
Klasen, Michael
,
Lamprea, David R.
in
Astronomy
,
Astrophysics and Cosmology
,
Benchmarking
2013
We describe the
Resummino
package, a
C++
and
Fortran
program dedicated to precision calculations in the framework of gaugino and slepton pair production at hadron colliders. This code allows to calculate transverse-momentum and invariant-mass distributions as well as total cross sections by combining the next-to-leading order predictions obtained by means of perturbative QCD with the resummation of the large logarithmic contributions arising in the small transverse-momentum region and close to the production threshold. The results computed in this way benefit from reduced theoretical uncertainties, compared to a pure next-to-leading order approach as currently employed in the experimental analyses searching for sleptons and gauginos at hadron colliders. This is illustrated by using
Resummino
in the context of a typical supersymmetric benchmark point dedicated to superpartner searches at the Large Hadron Collider.
Journal Article