ActiveX has become the all-encompassing term used to define everything from Web pages to OLE (Object Linking and Embedding) Controls. It has come to signify, on one hand, small, fast, reusable components that can get you hooked into all the latest technologies coming out of Microsoft, the Internet, and the industry. On the other hand, ActiveX represents Internet and applications integration strategies. These days, products and companies that don't have ActiveX and Internet somewhere in their nomenclature are considered, both internally and externally, as being behind the times.
An updated set of APIs has been introduced with Windows Phone 8.1, to build what Microsoft calls Windows Runtime (or Windows Phone Runtime) apps. Windows Runtime (WinRT) is the main framework recommended to create new Mobile Applications for Windows Phone from now on. Cf. Windows Runtime app development ([R5]) on Microsoft Developer Network (MSDN).
Implementation and development of this system brought an array of never ending challenges. Most notably it would take about 2 months for the system web server and the SAS Application server to be configured and ready. Issues regarding firewalls prevented direct system development until all the proper personnel could be contacted. Availability of the new system [and the data] was also a concern since that development was physically separate and
outsource Electronic Design projects. We provide all the phases of a development cycle, from the initial concept through to product delivery. Our service results in optimized use of microcontrollers' resources, i.e. reduction in power, size and weight. We truly care about providing superior products and service to our customers, with the aim of developing long term successful relationships.
In the intramural case, the scenario depicted the everyday life of the client, sketching a tool helping him to structure his daily activities, while the tool informed his guides about his localisation indoor and outdoor. For the extramural case of the client who would ask for assistance, an incident was described in which the client would be lost driving his microcar. During a video call his guide would manage the situation, reassuring the client, after she had recognized the surroundings. For the other extramural case three scenarios could be formulated, suggesting a solution with a personal alarm, a solution in which a fall was automatically registered after a certain period, and a smartphone application that enabled the exchange of messages via text or simple buttons. In all three cases, these scenarios appeared to be a good basis for discussion and feedback, although the response differed. In the intramural setting it became clear that the case described was too limited: there appeared to be a broader need for the application of sensors such as bed sensors and nurse call applications. Discussing the extramural case for the client in his microcar, it proved desirable to add Global positioning system (GPS) localisation. In the other extramural case there was a general agreement on the last-mentioned option.
This article presents an overview of selected general delivery options (e.g., videoconferencing, online learning, etc.) and specific software applications for developing and delivering instruction electronically, especially via the World Wide Web. A summary of the relative merits of developing customized software and of buying commercial software sets the stage for a brief review of 15 delivery options and software packages. In particular, seven course management systems or courseware packages are considered. Course development tools are generally described and the article concludes with a discussion of development and delivery issues.
The development of microspheres fabricated from bio- polymers (Freiberg and Zhu 2004 ), bioactive glasses (La- khkar et al. 2012 ) and ceramics (Bohner et al. 2013 ) is an ongoing challenge for many researchers across the globe. Microspheres possess several advantages for use in bio- medical applications over other particle geometries; for example, they can be manufactured to have a uniform size and shape which can improve delivery of the spheres to the specific target site, a larger surface area allowing for suf- ficient therapeutic coatings and an increase in degradation rate and ion release and can in some cases be engineered to be porous or hollow, allowing for encapsulation of other biomedically relevant components (Cai et al. 2013 ; Frei- berg and Zhu 2004 ; Li et al. 2010 ). Porous microspheres can be fabricated with either external or internal porosity, or even a combination of both, as well as with or without interconnectivity for cell attachment and spreading over the available surface area (Chen et al. 2011 ). Microspheres containing tailored porosity exhibit greater surface area, lower mass density, superior cell attachment, cell prolif- eration, drug absorption and drug release kinetics
Fourier transform infrared (FTIR) spectroscopy is a promising technique for obtaining highly detailed structural information for protein functional structural dynamics, particularly with respect to hydrogen bonding (Nie et al, 2005, Nie, 2006, Thubagere, 2008) and proton transfer (Berthomieu and Hienerwadel, 2009, Xie and Hoff, 2009, Kotting and Gerwert, 2005, Vogel and Siebert, 2000, Xie et al, 2001, Rothschild et al, 1990). Infrared structural biology is an emerging technology that detects protein structures and structural dynamics using infrared spectroscopy. A variety of time-resolved and temperature resolved infrared spectroscopic techniques have been developed, including rapid-scan FTIR (Braiman et al, 1987, van der Horst et al, 2009, Barth et al, 1996), step-scan FTIR with microsecond and nanosecond time resolutions, picosecond pump probe infrared spectroscopy (Xie et al, 2001, Hessling et al, 1997, Hu et al, 1996, Hage et al, 1996, Hastings, 2001, Sun and Frei, 1997, Dioumaev and Braiman, 1997), and cryogenic FTIR for cold-trapped intermediate states. A Vibrational Structural Marker (VSM) database library is being developed to translate infrared signals into quantitative structural information(Nie et al, 2005). However, the development of VSM for quantitative structural characterization and applications of VSM for protein structure-function studies have been hampered by the challenges of identification and assignment of key vibrational modes in a protein to a specific side-chain. This important bottleneck limits the application of FTIR spectroscopy as a powerful tool for time-resolved protein structural biology.
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th is (and o th e rs) effectively re p la c e . H igh ligh ted , how ever, w ill be two recen t b o o k s.
C R C Handbook of Tables f o r Order Statistics from Inverse Gaussian Distributions
with Applications (B a la k ris h n a n a n d C hen, 1997) an d C R C Handbook of Tables f o r
I n hypofractionated radiation therapy (RT), the treatment is delivered by few fractions with high doses per fraction. This is in contrast to conventionally fractionated RT where the total dose is delivered in many fractions with low doses per fraction. Hypofractionation is increasingly used in RT for small tumour volumes, but knowledge about radiation-induced tox- icity in healthy tissue (organs at risk, OARs) and suitable methods for modelling toxicity in this specific situation is limited. The aim of this thesis is to investigate radiation-induced toxicity in normal tissue caused by hypofractionated RT through the development of modelling methods and their applications to clinical data. Particular emphasis will be on the fractionation effect. The thesis treats theoretical and practical aspects of normal tissue complication probability (NTCP) modelling such as radiobiologically consistent dose-response curves, how to estimate composite doses in combined radiation therapy with limited treatment information and how to manage situations where non-treatment-related factors contribute to a studied toxicity. The thesis also discusses how fractionation effects as described by the linear-quadratic model may affect the modelling procedure and the modelling results. The clinical applications involve two datasets with non-small-cell lung cancer (NSCLC) patients (n=26) or localized prostate cancer patients (n=874). Patients were consecutively treated at the Sahlgrenska University Hospital in Göteborg, Sweden, 1998-2005 and 1993-2006, respectively.
In this thesis, we presented four SPD preconditioners targeted to the solution of large size linear problems obtained from engineering applications with diffusive character. All of these techniques are based on aFSAI with the main idea of enhancing its weak scalability through multilevel strategies. The two multilevel approaches presented in Chapter 3, i.e., BTFSAI and DDFSAI, showed improvements in terms of iteration count and solution time when compared to aFSAI; however, their applicability was limited to the number of partitions allowed for computing SPD Schur complements. This con- straint was eliminated by the MFLR preconditioner presented in Chapter 4 which also introduced low-rank corrections that reduced iteration counts, however at the cost of longer setup time. Lastly, in Chapter 5, we explored a different multilevel framework by proposing an adaptive AMG method that employs aFSAI as a flexible smoother and strategies for dynamically generating the prolongation pattern among other innovative features. We run several sensitivity analysis with challenging test cases to understand the importance of the input configuration parameters of the preconditioners and, con- sequently, we were able to identify suitable ranges of these parameters giving rise to ef- ficient methods. Also, we solved real-world linear problems arising from the numerical discretization of diverse engineering applications and proved that the preconditioners proposed in this thesis had a better performance, in general, when compared to aF- SAI, ILU and other AMG implementations. Special attention is given to the aSP-AMG method which proved to be the most robust and efficient strategy over the other meth- ods proposed herein. Future steps of the present work should focus on such method and aim to improve particularly its C/F splitting selection. Moreover, further enhance- ments on the computational implementation of aSP-AMG could reduce its setup time
So, we see that developing NLP applications is hard. De- veloping parallel NLP applications is harder. There are a number of steps involved in creating a parallel algorithm (e.g. task decomposition, mapping and taking care of com- munication / synchronization issues). None of these steps are necessary for a sequential program. Not only are there additional steps involved when creating parallel programs, but these steps are very prone to errors. If the wrong task- decomposition is chosen, you might not see any performance increases from parallel programming. Also, there is lack of knowledge of parallel programming systems among the ap- plication programmers. Parallel programming is not yet the mainstream. The languages used for parallel programming are often on a very low level, as communication or synchro- nization operations need to be managed by the programmer. Testing parallel programs is even trickier. Bug can be in 2 places. Either the algorithm is faulty or there may be syn- chronization problems. Another aspect is the lack of good libraries. Programming becomes way easier, when the pro- grammer can rely on powerful libraries to encapsulate com- plex behavior. Parallel programming libraries to facilitate the development of NLP applications are largely missing.
Site investigation studies are conducted to assess the unforeseen geological risks before executing any construction project. Even if proper site investigation have been done, it is common that most of construction projects experience delays due to unexpected failures and cost overruns due to overdesigning lesser risk areas. Generally, soil characterization is done by interpreting data from laboratory test and in-situ test using deterministic analysis methods. But these methods will not handle the uncertainties associated with the soil data. Geostatistical techniques have been used during the past few decades to help in improving the site characterization by handling the uncertainties methodically, thereby minimizing the unexpected failures after construction. These techniques have been applied to various fields such as mining, hydro-geology, water resource engineering, geotechnical engineering, etc. But most of the geotechnical engineers are still not much aware about the powerfulness of these techniques due to a lack of availability of handy geostatistical tools to meet their needs. Geostatistical techniques can be used to model the spatial variability of various soil parameters and generate the surface and error variance profiles for spatially varying soil parameters at a required depth with estimates of uncertainties. This research deals with the development of an automated, user-friendly and cost-effective tool to conduct a probabilistic linear geostatistical approach for evaluating the site characterization.
3 Logical Architectural View for Web applications
The logical architectural view is responsible for the definition of the logical components (subsystem, modules and/or software components) that collaborate in the system, as well as the relationship among them. In WebSA this view is made up of three models, namely (1) the Subsystem Model (SM), which determines the conceptual subsystems that make up our application, (2) the Web Component Configuration Model (WCCM), which decomposes each subsystem in a set of abstract components related by abstract connectors and (3) the Web Component Integration Model (WCIM) which, as its name may suggest, performs an integration of views.
MAST includes all the management tasks related to the creation, retrieving, and updating of courses with the associated students registered, homework and lab assignments, students course attendance, etc. A teacher must load MAST information system and open a course while a network is available (reachable), then he/she moves to the classroom and uses MAST (where possibly there are no access to a network). Once the teacher can reach a network again, he/she can update the course data. An ideal scenario is when the teacher can reach a network all the time to load applications and open/update courses, but it is not always possible. At this moment we have been using MAST in two consecutive semesters, in three different courses obtaining good feedback from users.
amount of casual visitors. Therefore it might not be as acceptable if the content were to change in a mobile application as on a website. In most applications there is a clear goal for conversion and if that flow is changed it would be very obvious for returning users. In the same interview it was said that testing could be useful for small changes, like promotion texts and and upsales in the appli- cation. This mainly depends on it not changing the core functionality of the application. Interviewee 5 mentioned that iOS 7 will include automatic appli- cation updates, which might lead to an increased tolerance of content changing within iOS applications at least. Interviewee 5 also mentioned that one reason that testing has not been implemented traditionally in iOS applications is the fear of getting rejected by the App Store.