https://iqybuqolobur.tk/map9.php A Cross-Cultural Framework, in: Advances in Global Business Research, Vol. An Integrated Conceptual Framework, in: Towards a Comprehensive Typology of Social Influence, in: Understanding and Measuring Luxury Value: Le percezioni del concetto di lusso nei giovani. Young people purchase-decision patterns: Reputationsanalyse mit dem Reputation Quotient, in: Open Source als Herausforderung an das Marketing-Management, in: Die motivationalen Treiber der konsumentenseitigen Beteiligung an Open Source-orientierten Marketingprojekten - Ergebnisse einer explorativen Studie, in: Interactive Marketing im Web 2.
How will Solvency II requirements affect reputation management?
Hosted by London Business School. Die Rolle der Marke in der Gesellschaft, in: WiSt Wirtschaftswissenschaftliches Studium , Individual and Social Capital as basic pillars of Customer Value: Understanding Open Source Networks: Examining the Effects of Brand Licensing, in: Towards a Sustainable Transport Economy: Technology Switch under Network Effects: How do corporate reputation and customer satisfaction impact customer defection? A study of private energy customers in Germany, in: Ansatzpunkte zur Messung der Reputation von Unternehmen, in: Die Wirkungen von Zusatzleistungen auf Kundenzufriedenheit und Kundenbindung im Verlagsmarketing, in: Open-Source-Marketing - ein schlafender Riese erwacht, in: Open Source Jahrbuch Zwischen Softwareentwicklung und Gesellschaftsmodell, Berlin , S.
Jahrbuch der Absatz- und Verbrauchsforschung, Wiedmann, K-P; Hennigs, N. Kundenbindung mit Schliff, in: Measuring brand equity for organising brand management in the energy sector: A research proposal and first hints, Part 2: Journal of Brand Management, Febr. Journal of Marketing Management, Vol. Corporate Reputations in different Service Industries, in: Corporate Reputation Management in Germany, in: Does Patriotism in Country of Origin Matter? Trying to ask the right questions about measuring corporate reputation — A first contribution to the development of prospective measurement approaches, Paper presented at: Alliance of the Reasonable: Marketing - ZFP, CM controller magazin, Customer Management Scorecard, in: Das Beispiel marktforschungsbasierter Kennzahlen, in: Unbundling und strategische Planung.
Entflechtung in der deutschen Energiewirtschaft. Kostenfalle oder Effizienzquelle, 2. Ergebnisse einer empirischen Untersuchung, in: Kundenmanagement-Performance auf einen einen Blick: CM controller magazin, 30 Jg. Reputation messen und vergleichen, in: Commodity Marketing, Wiesbaden , S. Wechselbereitschaft privater Endkunden im Erdgasmarketing, in: Reputation als Erfolgsfaktor von Energieversorgungsunternehmen, in: A research proposal and first hints, Part1: The development of a theoretical concept and a research programme, in: Journal of Brand Management, Nov.
Framework and Discussion, in: A Conceptualization of Corporate Reputation in Germany: Identifying eMavens on Internet Music Sites: Evidence from Germany, in: Vision und Verantwortung als zentrale Leitvorstellungen einer zukunftsgerichteten Managementpraxis und -wissenschaft, in: Fundierung des Marketing — Verhaltenswissenschaftliche Erkenntnisse als Grundlage einer angewandten Marketingforschung, Festschrift zum Silberer, Wiesbaden , S.
Risikomanagement in der Energiewirtschaft, Herrsching , S. Konsumentenverhaltensforschung im Internet mittels Profilbildungstechniken: Konzepte - Erfahrungen - Methoden, Wiesbaden , S. Profilbildungstechniken als Ansatz der Verhaltensforschung im Internet, in: Die Akzeptanz von Smartphones: Eine empirische Untersuchung, erscheint in: Kunden- und gesellschaftspolitische Problemfelder biotischer Beobachtungen in der Online-Marktforschung, in: Wirtschaftlichkeit und soziale Verantwortung der Unternehmen, in: Start in die Zukunft, Dokumentation, Hannover , S.
Optimierte Konditionen lassen Gewinne wachsen. Erfolge mit ganzheitlichem Kundenmanagement; in: Energiedienstleistungen systematisch entwickeln, in: Reputationsmanagement erfolgreich gestalten, in: Stellenwert und Umsetzung des Reputationsmanagement: Im Reputationsmanagement schlummert noch Optimierungspotenzial, in: Integriertes Steuerungsinstrument eines effektiven Kundenmanagement, in: Science Factory, Online-Magazin der absatzwirtschaft, 6. Stets am Puls der Zielgruppe; in: Mit der Scorecard erfolgreich im Kundenmanagement; in: Praxis des Customer Relationship Management, 2.
Die Wechselbereitschaft von privaten Endkunden im liberalisierten Gasmarkt, in: Sponsoring von kommunalen Energieversorgungsunternehmen — Ergebnisse einer empirischen Untersuchung, in: Grundlagen der EG-Beschleunigungsnovelle und volkswirtschaftliche Monopoltheorie, in: Herausforderungen und Chancen zur aktiven Reorganisation deutscher Versorger, in: Aus- und Fortbildung in der Energiewirtschaft als Quelle dauerhafter Wettbewerbsvorteile, in: Web-Business in der Energiebranche: Energieversorger setzen auf Online-Service, in: Neuronale Netze als Instrument einer effizienten Zielkundensegmentierung in der Finanzdienstleistungsbranche, in: Bausteine eines ertragsorientierten Zielkundenmanagement-Systems, in: Die Beobachtung in der Online-Marktforschung, in: Corporate Finance Management, in: Neue Zielgruppen erobern und erfolgreich bearbeiten, in: Erfolgsfaktoren eines ertragsorientierten Zielkundenmanagement im Retail Banking, in: Zwischen Existenzbedrohung und Chancenmanagement, in: Kundenwertmanagement - Die Kundenbeziehung als zentraler Unternehmenswert, in: Der Einfluss der Zufriedenheit auf die Wechselbereitschaft von privaten Gaskunden: Empirische Analyse und Implikationen, in: Integration von Zielkundenmarketing und Reputationsmanagement als Herausforderung an Finanzdienstleister, in: Conceptualizing Corporate Reputation in Germany: Der Einfluss von Unternehmensreputation und Kundenzufriedenheit auf die Wechselbereitschaft: Ergebnisse einer empirischen Untersuchung am Beispiel eines Energieversorgers, in: Internet-induced Changes in Consumer Procurement Behavior: Unveiling the Mysteries of Motion Picture Success: Reading Customer Articulations on the Internet: Analyzing the German Corporate Reputation Landscape, in: Customer Profiling in eCommerce: Business Management Adjusting - ein integrierter Ansatz, in: Going to the Movies - or Renting Them: German eMavens on Internet Music Sites.
German eMavens on Internet Music Sites, in: Why Customers Articulate Themselves on the Internet: Conceptualizing Consumer Confusion, in Kehoe, W. Using Non-reactiv Observation Methods in the Internet: Methodological Aspects and Challenges, Paper presented at: Fombrun, Ch; Wiedmann, K. Unternehmensreputation und "Reputation Quotient" RQ , in: Welche Unternehmen haben die beste Reputation in Deutschland? Neuronale Netze als Basis eines effizienten Zielkundenmanagements in der Finanzdienstleistungsbranche, in: Neuronale Netze im Marketingmanagement: Gabler Marketing Lexikon, Wiesbaden Virtualisierung nach Globalisierung - Strukturwandel in der chemischen Industrie, in: Genetische Algorithmen zur Intra-Mediaselektion, in: Handbuch Data-Mining im Marketing: Neuronale Netze im Marketing Management: Neuronale Netze im Marketingmanagement, in: Mediaplanung mit Neuronalen Netzen, in: Using non-reactive observation methods in online-research: Using non-reactive observation methods in the internet: Strategisches E-Commerce Marketing, in: Musik im Internet - Motive der Nutzung und Zahlungsbereitschaft, in: Zahlungswillig - Studie zur Akzeptanz kostenpflichtiger Musik aus dem Internet, in: Neuronale Netze zur Segmentierungsanalyse in der Automobilindustrie, in: Enhancing Knowledge Development in Marketing: Konstrukt und marketingpolitische Implikationen, in: Kundenverhalten beim geplanten Kauf von Wohneigentum: Ergebnisse einer empirischen Untersuchung, der markt, Kaufentscheidungsdimensionen des Market Mavens, in: Informationsverhalten und Einstellungen von Kunden beim geplanten Kauf von Wohneigentum, in: Der Langfristige Kredit, M-Commerce - was kommt auf uns zu?
Chancenpotenziale und Gestaltungsperspektiven des M-Commerce, in: Genetische Algorithmen als erfolgsversprechender Ansatz der Intra-Mediaselektion, in: Strategisches eCommerce Marketing, in: Strategisches eCommerce Management, Wiesbaden Welche Faktoren beeinflussen den Markenerfolg? Modernes Kommunikationsmanagement im Pharmamarketing - Teil 1, in: Pharmazeutische Industrie 61 Jg.
Modernes Kommunikationsmanagement im Pharmamarketing - Teil 2, in: This amount is subject to change until you make payment.
For additional information, see the Global Shipping Programme terms and conditions - opens in a new window or tab This amount includes applicable customs duties, taxes, brokerage and other fees. For additional information, see the Global Shipping Programme terms and conditions - opens in a new window or tab.
Book See original listing. No additional import charges on delivery. This item will be sent through the Global Shipping Programme and includes international tracking. Learn more - opens in a new window or tab. May not post to Russian Federation - Read item description or contact seller for postage options. Sell one like this. Seller assumes all responsibility for this listing. In recent years the Python ecosystem evolved into one of the most powerful and productive scientific environments across disciplines.
It does so by offering Read and write support for essentially every commonly used data format in seismology with a unified interface and automatic format detection. A powerful signal processing toolbox tuned to the specific needs of seismologists. Utility functionality like travel time calculations with the TauP method, geodetic functions, and data visualizations. Obs Py has been in constant development for more than seven years and is developed and used by scientists around the world with successful applications in all branches of seismology. Additionally it nowadays serves as the foundation for a large number of more specialized packages.
This presentation will give a short overview of the capabilities of Obs Py and point out several representative or new use cases. Additionally we will discuss the road ahead as well as the long-term sustainability of open-source scientific software. Analytical Jacobian generator for chemical kinetics. Accurate simulations of combustion phenomena require the use of detailed chemical kinetics in order to capture limit phenomena such as ignition and extinction as well as predict pollutant formation. However, the chemical kinetic models for hydrocarbon fuels of practical interest typically have large numbers of species and reactions and exhibit high levels of mathematical stiffness in the governing differential equations, particularly for larger fuel molecules.
In order to integrate the stiff equations governing chemical kinetics, generally reactive-flow simulations rely on implicit algorithms that require frequent Jacobian matrix evaluations. Some in situ and a posteriori computational diagnostics methods also require accurate Jacobian matrices, including computational singular perturbation and chemical explosive mode analysis. Typically, finite differences numerically approximate these, but for larger chemical kinetic models this poses significant computational demands since the number of chemical source term evaluations scales with the square of species count.
Here we introduce py Jac, a Python-based open-source program that generates analytical Jacobian matrices for use in chemical kinetics modeling and analysis. In addition to producing the necessary customized source code for evaluating reaction rates including all modern reaction rate formulations , the chemical source terms, and the Jacobian matrix, py Jac uses an optimized evaluation order to minimize computational and memory operations. As a demonstration, we first establish the correctness of the Jacobian matrices for kinetic models of hydrogen, methane, ethylene, and isopentanol oxidation number of species ranging by showing agreement within 0.
Py SSM is easy to use; models can be set up quickly and efficiently and a variety of different settings are available to the user. It also takes advantage of scientific libraries Num Py and Sci Py and other high level features of the Python language. Py SSM is also used as a platform for interfacing between optimized and parallelized Fortran routines. These Fortran routines heavily utilize basic linear algebra and linear algebra Package functions for maximum performance. Py SSM contains classes for filtering, classical smoothing as well as simulation smoothing.
Continuous degradation of trichloroethylene by Xanthobacter sp. Toxic metabolites presumably accumulated extracellularly, because the fermentation of glucose by yeast cells was inhibited by TCE degradation products formed by strain Py 2. The affinity of the propene monooxygenase for TCE was low, and this allowed strain Py 2 to grow on propene i Py Rosetta is a stand-alone Python-based implementation of the Rosetta molecular modeling package that allows users to write custom structure prediction and design algorithms using the major Rosetta sampling and scoring functions.
Py Rosetta contains Python bindings to libraries that define Rosetta functions including those for accessing and manipulating protein structure, calculating energies and running Monte Carlo-based simulations. Py Rosetta can be used in two ways: Jung und Alt im Dialog. Full Text Available Rezension zu: Generationen im Dialog durch aktive Medienarbeit.
Gesellschaft - Altern - Medien 3. Gesundheit und Pflege im Alter. Gesundheit und Pflege im Alter: Resilience of the IMS system. The resilience behaviours of communication across multiple IMS domains are investigated at different communication scenarios and compared with previous state The results disclose interesting resilience behaviours for long distance communications Extensible, Reusable, and Reproducible Computing: In this work, the Smoothed Particle Hydrodynamics SPH technique is considered as an example of a typical computational research area.
Py SPH is designed to be easy to use. The framework allows a user to implement an entire simulation in pure Python. It is designed to make it easy for scientists to reuse their code and extend the work of others. These important features allow Py SPH to facilitate reproducible computational research. Based on the experience with Py SPH, general recommendations are suggested for other computational researchers. This project supports the initiative promoted by the Spanish National Health System to provide informational materials, in printed or interactive format, to encourage public participation in decision making and healthcare.
We present the newly created Py DEsalud. This platform uses scientific methodology and contains three information service modules Patients' experiences, Shared decision making, and Research needs , aimed at promoting health education for patients and families.
Published by Elsevier Espana. Modeling plate shell structures using py Formex. If the geometry of the structure is plane-based facetted plate shell structure , the glass elements will be plane panes, and these glass panes will comprise the primary load Learning Sci Py for numerical and scientific computing. A step-by-step practical tutorial with plenty of examples on research-based problems from various areas of science, that prove how simple, yet effective, it is to provide solutions based on Sci Py.
This book will be of critical importance to programmers and scientists who have basic Python knowledge and would like to be able to do scientific and numerical computatio. The structure of scrip Recent years witnessed the evolution of Python's ecosystem into one of the most powerful and productive scientific environments across disciplines. It is a Python toolbox offering: Read and write support for essentially every commonly used data format in seismology with a unified interface and automatic format detection. Obs Py has been in constant development for more than eight years and is developed and used by scientists around the world with successful applications in all branches of seismology.
A fast, portable aerodynamics simulator. We present a fast, user-friendly implementation of a potential flow solver based on the unsteady vortex lattice method UVLM , namely Py Fly. UVLM computes the aerodynamic loads applied on lifting surfaces while capturing the unsteady effects such as the added mass forces, the growth of bound circulation, and the wake while assuming that the flow separation location is known a priori. This method is based on discretizing the body surface into a lattice of vortex rings and relies on the Biot—Savart law to construct the velocity field at every point in the simulated domain.
We introduce the pointwise approximation approach to simulate the interactions of the far-field vortices to overcome the computational burden associated with the classical implementation of UVLM.
The computational framework uses the Python programming language to provide an easy to handle user interface while the computational kernels are written in Fortran. The mixed language approach enables high performance regarding solution time and great flexibility concerning easiness of code adaptation to different system configurations and applications.
The computational tool predicts the unsteady aerodynamic behavior of multiple moving bodies e. The aerodynamic simulator can also deal with enclosure effects, multi-body interactions, and B-spline representation of body shapes. We simulate different aerodynamic problems to illustrate the usefulness and effectiveness of Py Fly.
Cambio de Estrategias e Instrumentos. Full Text Available Python is emerging as a common scripting language for simulators. This opens up many possibilities for interoperability in the form of analysis, interfaces, and communications between simulators. MOOSE is a general-purpose simulation system for compartmental neuronal models and for models of signaling pathways based on chemical kinetics.
Thus Py MOOSE has a high degree of interoperability with analysis routines, with graphical toolkits, and with other simulators. When these jobs begin to run they contact a central service to retrieve a real payload to execute. A second generation provides factories which are more flexible, not tied to any particular VO, and provide new or improved features such as monitoring, logging, profiling, etc. Auto Py Factory has a modular design and is hig It has been extensively developed in recent years that cell-permeable small molecules, such as polyamide, can be programmed to disrupt transcription factor-DNA interfaces and can silence aberrant gene expression.
For example, cyclic pyrrole-imidazole polyamide that competes with glucocorticoid receptor GR for binding to glucocorticoid response elements could be expected to affect the DNA dependent binding by interfering with the protein-DNA interface. However, how such small molecules affect the transcription factor-DNA interfaces and gene regulatory pathways through DNA structure distortion is not fully understood so far. We found that the cyclic polyamide binding in minor groove of DNA can induce a large structural perturbation of DNA, i.
Therefore, this study straightforward explores how small molecule targeting specific sites in the DNA minor groove disrupts the transcription factor-DNA interface in DNA major groove, and consequently modulates gene expression. Software news and update Py Frag - Streamlining your reaction path analysis. The Py Frag program released as Py Frag The purpose is to make analyses of reaction paths and other.
This includes tools to correct light curves for cotrending basis vectors, turn the raw Target Pixel File data into motion corrected light curves, check for exoplanet false positives and run new PSF photometry. Tools are available both as Python routines and from the command line. New tutorials are available and under construction for users to learn about Kepler and K2 data and how to best use it for their science goals.
Py KE is open source and welcomes contributions from the community. Recent Advances in the Python Interface to Trilinos. This collection supports serial and parallel dense linear algebra, serial and parallel sparse linear algebra, direct and iterative linear solution techniques, algebraic and multilevel preconditioners, nonlinear solvers and continuation algorithms, eigensolvers and partitioning algorithms.
Py Trilinos vector objects are compatible with the popular Num Py Python package. This paper covers recent, previously unpublished advances in the Py Trilinos package. A plug-in written with u Py can run in all u Py -supported hosts. Using u Py , researchers have created complex plug-ins for molecular and cellular modeling and visualization.
It's available at http: The first featured Web extra is a video that shows interactive analysis of a calcium dynamics simulation. The second featured Web extra is a video that shows rotation of the HIV virus. In this paper we describe u Py , an extension module for the Python programming language that provides a uniform abstraction of the APIs of several 3D computer graphics programs called hosts, including: A plugin written with u Py is a unique piece of code that will run in all u Py -supported hosts.
SuperCode is no longer actively supported and there has for some time been interest in replacing it by a modern scripting language, while preserving the feel of the original ORBIT program. In this paper, we describe a new version of ORBIT where the role of SuperCode is assumed by Python, a free, well-documented and widely supported object-oriented scripting language.
Electronic Laboratory Notebook on Web2 py Framework. Full Text Available Proper experimental record-keeping is an important cornerstone in research and development for the purpose of auditing. The gold standard of record-keeping is based on the judicious use of physical, permanent notebooks. However, advances in technology had resulted in large amounts of electronic records making it virtually impossible to maintain a full set of records in physical notebooks. Electronic laboratory notebook systems aim to meet the stringency for keeping records electronically.
This manuscript describes CyNote which is an electronic laboratory notebook system that is compliant with 21 CFP Part 11 controls on electronic records, requirements set by USA Food and Drug Administration for electronic records. CyNote is implemented on web2 py framework and is adhering to the architectural paradigm of model-view-controller MVC, allowing for extension modules to be built for CyNote. CyNote is available at http: Reading seismic data with Python.
Full Text Available The field of seismic exploration of the Earth has changed dramatically over the last half a century. The Society of Exploration Geophysicists SEG has worked to create standards to store the vast amounts of seismic data in a way that will be portable across computer architectures. However, it has been impossible to predict the needs of the immense range of seismic data acquisition systems. As a result, vendors have had to bend the rules to accommodate the needs of new instruments and experiment types.
For low level access to seismic data, there is need for a standard open source library to allow access to a wide range of vendor data files that can handle all of the variations. A new seismic software package, seismic- py , provides an infrastructure for creating and managing drivers for each particular format. Drivers can be derived from one of the known formats and altered to handle any slight variations.
Alternatively drivers can be developed from scratch for formats that are very different from any previously defined format. Python has been the key to making driver development easy and efficient to implement. The goal of seismic- py is to be the base system that will power a wide range of experimentation with seismic data and at the same time provide clear documentation for the historical record of seismic data formats.
Individualisierte Produkte im Fokus der intergrierten Produktentwicklung. Individualisierte Produkte stellen neue Herausforderungen an die Produktentwicklung — vornehmlich im Bereich der Produktstrukturplanung, der kundenindividuellen Produktadaption und dem Zielkostenmanagement. Application of Hadamard transform in IMS. In this paper, the ion spectral signals were processed by Hadamard transform based on the IMS detector hardware platform.
This document provides a high-level description of several advanced IM operations that NASA is considering for future research and development. These are preliminary descriptions to support an initial benefits analysis. Development of p-y curves of laterally loaded piles in cohesionless soil. The research on damages of structures that are supported by deep foundations has been quite intensive in the past decade.
Kinematic interaction in soil-pile interaction is evaluated based on the p-y curve approach. Existing p-y curves have considered the effects of relative density on soil-pile interaction in sandy soil. The roughness influence of the surface wall pile on p-y curves has not been emphasized sufficiently. The presented study was performed to develop a series of p-y curves for single piles through comprehensive experimental investigations. Modification factors were studied, namely, the effects of relative density and roughness of the wall surface of pile. The model tests were subjected to lateral load in Johor Bahru sand.
The new p-y curves were evaluated based on the experimental data and were compared to the existing p-y curves. For rough pile, the ratio of dense to loose relative density soil-pile reaction was from 2. Direct comparison of the developed p-y curve shows significant differences in the magnitude and shapes with the existing load-transfer curves. Good comparison with the experimental and design studies demonstrates the multidisciplinary applications of the present method.
The null-space monte carlo technique is a non-linear uncertainty analyses technique that is well-suited to high-dimensional inverse problems. While the technique is powerful, the existing workflow for completing null-space monte carlo is cumbersome, requiring the use of multiple commandline utilities, several sets of intermediate files and even a text editor.
The core of py NSMC is the ensemble class, which draws and stores realized random vectors and also provides functionality for exporting and visualizing results. By relieving users of the tedium associated with file handling and command line utility execution, py NSMC instead focuses the user on the important steps and assumptions of null-space monte carlo analysis.
Furthermore, py NSMC facilitates learning through flow charts and results visualization, which are available at many points in the algorithm. The ease-of-use of the py NSMC workflow is compared to the existing workflow for null-space monte carlo for a synthetic groundwater model with hundreds of estimable parameters. We developed the graphical user interface Py FDAP for the fitting of linear and non-linear decay functions to data from fluorescence decay after photoconversion FDAP experiments.
The software, a user guide and a test FDAP dataset are freely available for download from http: Published by Oxford University Press. For Permissions, please e-mail: Argumentellipse in der "weichen" Nachricht im Deutschen und im Slowenischen. Unsere Aufmerksamkeit gilt bier der Textsorte "weiche" Nachricht, die als Abweichung des Grundmusters gilt. Full Text Available An essential element in a learning object repository is the meta-information associated with the resources housed by the repository, as this is what enables the objects to be retrieved.
In many cases, the meta-information which is described consists of the classification of a resource in relation to a taxonomy or thesaurus. Part of the meta-information described corresponds to the classification of the object with respect to a group of taxonomies and a thesaurus, which have had to be described using the ims vdex standard to enable them to be managed from the federation nodes. This article describes the way in which ims vdex has been used in order to create this description and how these metadata instances are managed.
Professionalisierung und Doping im Sport. The author analyzes the interdependencies between a growing commercia Some entities time-series, images, a algorithm -specific parameters must be managed Haloplex targeted resequencing is a popular method to analyze both germline and somatic variants in gene panels. However, involved wet-lab procedures may introduce false positives that need to be considered in subsequent data-analysis. No variant filtering rationale addressing amplicon enrichment related systematic errors, in the form of an all-in-one package, exists to our knowledge.
We present py Ampli, a platform independent parallelized Python package that implements an amplicon-based germline and somatic variant filtering strategy for Haloplex data. We show that py Ampli significantly increases specificity, without reducing sensitivity, essential for reporting true positive clinical relevant mutations in gene panel data. It specifically reduces errors related to PCR-based enrichment of targeted regions. The py GFC module was created to support the visualization of network topologies using the ARL Topodef tool, a graphical design and animation tool for custom-designing and editing a mobility scenario Near-infrared neuroimaging with Nin Py.
Full Text Available There has been substantial recent growth in the use of non-invasive optical brain imaging in studies of human brain function in health and disease. Near-infrared neuroimaging NIN is one of the most promising of these techniques and, although NIN hardware continues to evolve at a rapid pace, software tools supporting optical data acquisition, image processing, statistical modeling and visualization remain less refined.
Python, a modular and computationally efficient development language, can support functional neuroimaging studies of diverse design and implementation. In particular, Python's easily readable syntax and modular architecture allow swift prototyping followed by efficient transition to stable production systems.
As an introduction to our ongoing efforts to develop Python software tools for structural and functional neuroimaging, we discuss: Source code for the software discussed here will be made available at www. Gilles Py is an open-source Python package for model construction and simulation of stochastic biochemical systems. Gilles Py consists of a Python framework for model building and an interface to the StochKit2 suite of efficient simulation algorithms based on the Gillespie stochastic simulation algorithms SSA. To enable intuitive model construction and seamless integration into the scientific Python stack, we present an easy to understand, action-oriented programming interface.
A need for diffusion analysis in representative TRISO layers exists to provide fuel performance models with high fidelity data to improve fuel performance and efficiency. An effort has been initiated to better understand fission product transport in, and release from, quality TRISO fuel by investigating diffusion couples with representative pyrocarbon Py C and silicon carbide SiC.
The first step in accomplishing these goals is the development of the planar diffusion couples. A summary of the coating development process, characterization methods, and status are presented. It offersa read and write support for essentially all commonly used waveform, station, and event metadata file formats with a unified interface,b a comprehensive signal processing toolbox tuned to the needs of seismologists,c integrated access to all large data centers, web services and databases, andd convenient wrappers to legacy codes like libtau and evalresp.
Python, currently the most popular language for teaching introductory computer science courses at top-ranked U. Its extensive standard library and large variety of freely available high quality scientific modules cover most needs in developing scientific processing workflows. Obs Py enjoys a large world-wide rate of adoption in the community.
Applications successfully using it include time-dependent and rotational seismology, big data processing, event relocations, and synthetic studies about attenuation kernels and full-waveform inversions to name a few examples. All functionality is extensively documented and the Obs Py tutorial and gallery give a good impression of the wide range of possible use cases. We will present the basic features of Obs Py , new developments and applications, and a roadmap for the near future and discuss the sustainability of our open-source development model. A major barrier to the practical utilization of large, complex models of biochemical systems is the lack of open-source computational tools to evaluate model behaviors over high-dimensional parameter spaces.
This is due to the high computational expense of performing thousands to millions of model simulations required for statistical analysis. Additional information about Py SB is available at pysb.
Ökomarketing - Begriff und Besonderheiten dargestellt an Praxisbeispielen ( German Edition) eBook: René Mäß: linawycatuzy.gq: Kindle Store. Read Online or Download Ökomarketing - Begriff und Besonderheiten dargestellt an Praxisbeispielen (German Edition) PDF. Similar marketing & sales books.
Supplementary data are available at Bioinformatics online. The rationale for the formula and methodology was fully explained in the February 17, , Federal Register notice. Murphy, Nicholas; Leonard, Andrew J. We report on initial development of Plasma Py: Plasma Py seeks to provide core functionality that is needed for the formation of a fully open source Python ecosystem for plasma physics.
Plasma Py prioritizes code readability, consistency, and maintainability while using best practices for scientific computing such as version control, continuous integration testing, embedding documentation in code, and code review. We discuss our current and planned capabilities, including features presently under development. The development roadmap includes features such as fluid and particle simulation capabilities, a Grad-Shafranov solver, a dispersion relation solver, atomic data retrieval methods, and tools to analyze simulations and experiments.
We describe several ways to contribute to Plasma Py. Plasma Py has a code of conduct and is being developed under a BSD license, with a version 0. The success of Plasma Py depends on active community involvement, so anyone interested in contributing to this project should contact the authors. This work was partially supported by the U.
Today researchers can choose from many bioinformatics protocols for all types of life sciences research, computational environments and coding languages. Although the majority of these are open source, few of them possess all virtues to maximize reuse and promote reproducible science. Wikipedia has proven a great tool to disseminate information and enhance collaboration between users with varying expertise and background to author qualitative content via crowdsourcing.
However, it remains an open question whether the wiki paradigm can be applied to bioinformatics protocols. We piloted Py Pedia, a wiki where each article is both implementation and documentation of a bioinformatics computational protocol in the python language. Hyperlinks within the wiki can be used to compose complex workflows and induce reuse. Initial content of Py Pedia contains articles for population statistics, bioinformatics format conversions and genotype imputation.
Use of the easy to learn wiki syntax effectively lowers the barriers to bring expert programmers and less computer savvy researchers on the same page. Py Pedia demonstrates how wiki can provide a collaborative development, sharing and even execution environment for biologists and bioinformaticians that complement existing resources, useful for local and multi-center research teams.
Py Pedia is available online at: The source code and installation instructions are available at: The Py Pedia python library is available at: A Python toolbox for controlling Magstim transcranial magnetic stimulators. To date, transcranial magnetic stimulation TMS studies manipulating stimulation parameters have largely used blocked paradigms. However, altering these parameters on a trial-by-trial basis in Magstim stimulators is complicated by the need to send regular 1Hz commands to the stimulator.
Additionally, effecting such control interferes with the ability to send TMS pulses or simultaneously present stimuli with high-temporal precision. This manuscript presents the Mag Py toolbox, a Python software package that provides full control over Magstim stimulators via the serial port. It is able to maintain this control with no impact on concurrent processing, such as stimulus delivery. In addition, a specially-designed "QuickFire" serial cable is specified that allows Mag Py to trigger TMS pulses with very low-latency.
In a series of experimental simulations, Mag Py was able to maintain uninterrupted remote control over the connected Magstim stimulator across all testing sessions. In addition, having Mag Py enabled had no effect on stimulus timing - all stimuli were presented for precisely the duration specified. The Mag Py toolbox allows for experiments that require manipulating stimulation parameters from trial to trial.
Together, the Mag Py toolbox and QuickFire serial cable provide an effective means for controlling Magstim stimulators during experiments while ensuring high-precision timing. Quantitative mass spectrometry data necessitates an analytical pipeline that captures the accuracy and comprehensiveness of the experiments.
Currently, data analysis is often coupled to specific software packages, which restricts the analysis to a given workflow and precludes a more thorough characterization of the data by other complementary tools. To address this, we have developed Py Quant, a cross-platform mass spectrometry data quantification application that is compatible with existing frameworks and can be used as a stand-alone quantification tool. In addition, Py Quant can perform specialized analyses such as quantifying isotopically labeled samples where the label has been metabolized into other amino acids and targeted quantification of selected ions independent of spectral assignment.
Py Quant is capable of quantifying search results from popular proteomic frameworks such as MaxQuant, Proteome Discoverer, and the Trans-Proteomic Pipeline in addition to several standalone search engines. This results in an increase of biologically useful data available for interpretation.
In summary, Py Quant is a flexible mass spectrometry data quantification platform that is capable of interfacing with a variety of existing formats and is highly customizable, which permits easy configuration for custom analysis. Full Text Available The research on damages of structures that are supported by deep foundations has been quite intensive in the past decade. Digital Medien im Naturwissenschaftlichen Unterricht.
Und auch die Alltags- und Berufswelt ist ohne Informationstechnologien nicht mehr vorstellbar. Wie gelingt im Schulalltag die Balance zwischen Kreidezeit und interaktivem Whiteboard nach mittlerweile 30 Jahren Erfahrung mit Schulcomputern? Zu Wort kommen Hochschullehr The coordination chemistry of the neutral trispyridyl silicon ligand [PhSi 6-Me py 3]. Difficulties in the preparation of neutral ligands of the type [RSi 2- py 3] where 2- py is an unfunctionalised 2-pyridyl ring unit have thwarted efforts to expand the coordination chemistry of ligands of this type.
However, simply switching the pyridyl substituents to 6-methyl-pyridyl groups 6-Me py in the current paper has allowed smooth, high-yielding access to the [PhSi 6-Me py 3] ligand 1 , and the first exploration of its coordination chemistry with transition metals. However, magnetic anisotropy also leads to considerable pseudo-contact shifts so that both contributions have to be included in the paramagnetic NMR analysis.
Edi Py is an online resource appropriately designed to simulate the evolution of plant mitochondrial genes in a biologically realistic fashion. Edi Py takes into account the presence of sites subjected to RNA editing and provides multiple artificial alignments corresponding to both genomic and cDNA sequences. As an online bioinformatic resource, Edi Py is available at the following web page: Scientific workflows are a necessary tool for many scientific communities as they enable easy composition and execution of applications on computing resources while scientists can focus on their research without being distracted by the computation management.
Nowadays, scientific communities e. Seismology have access to a large variety of computing resources and their computational problems are best addressed using parallel computing technology. However, successful use of these technologies requires a lot of additional machinery whose use is not straightforward for non-experts: This implies that for achieving the best applications' performance, users usually have to change their codes depending on the features of the platform selected for running them.
This work presents dispel4 py , a new open-source Python library for describing abstract stream-based workflows for distributed data-intensive applications. Special care has been taken to provide dispel4 py with the ability to map abstract workflows to different platforms dynamically at run-time.
Currently dispel4 py has four mappings: Apache Storm, MPI, multi-threading and sequential. The main goal of dispel4 py is to provide an easy-to-use tool to develop and test workflows in local resources by using the sequential mode with a small dataset. Later, once a workflow is ready for long runs, it can be automatically executed on different parallel resources. Processing Elements PE represent the basic computational activities of any dispel4 Py workflow, which can be a seismologic algorithm, or a data transformation process.
For creating a dispel4 py workflow, users only have to write very few lines of code to describe their PEs and how they are. Event-based Seismic Data Request Tools.
Deutsche Wirtschaft im Aufschwung. Text 2 Mind Map. The development of a theoretical concept and a research programme, in: A major barrier to the practical utilization of large, complex models of biochemical systems is the lack of open-source computational tools to evaluate model behaviors over high-dimensional parameter spaces. Python is easy to learn and has many extension modules for scientific computing e.
Both tools allow data to be previewed visually, and can download data in standard miniSEED, SAC, and other formats, complete with relevant metadata for performing instrument correction. Once the user has selected an event, WILBER identifies all data available for that time period, and allows the user to select stations based on criteria such as the station's distance and orientation relative to the event.
When the user has finalized their request, the data is collected and packaged on the IRIS server, and when it is ready the user is sent a link to download. Py WEED is built around the Obs Py seismic toolkit, and allows direct interaction and control of the application through a Python interactive console. We present an open-source, extensible search engine for shotgun proteomics. Implemented in Python programming language, Identi Py shows competitive processing speed and sensitivity compared with the state-of-the-art search engines.
It is equipped with a user-friendly web interface, Identi Py Server, enabling the use of a single server installation accessed from multiple workstations. Using a simplified version of X! Auto-tune adjusts the search parameters for the particular data set, resulting in improved search efficiency and simplifying the user experience. Identi Py with the auto-tune feature shows higher sensitivity compared with the evaluated search engines.