Tectonic: "The release team has decided that a number of the applications are now mature enough to be part of 2.0. These include KWord, KSpread, KPresenter, KPlato for project management, Karbon the vector graphics editor, and Krita for raster graphics editing."

div class="image"a href="http://pixhost.ws/avaxhome/big_show.php?/avaxhome/4d/ce/0009ce4d.jpeg" target="_blank"img src="http://pixhost.ws/avaxhome/4d/ce/0009ce4d_medium.jpeg" id="external_img_642637"//a/divbr/ div class="center"bVector Winter/bbr/ 20 | AI + JPG Preview | 9 Mb/div

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Posted by Dennis Sellers

Several Apple patents involving vector processing have appeared at the US Patent & Trademark Office. The inventors on all of them are Jeffry E. Gonion and Keith E. Diefendorff.

Publication Date: 2008 Nov 18 PMID: 19017658br/Authors: Brelstaff, G. - Bicego, M. - Culeddu, N. - Chessa, M.br/Journal: Bioinformaticsbr/br/MOTIVATION: The analysis of high-resolution proton Nuclear Magnetic Resonance (NMR) spectrometry can assist human experts to implicate metabolites expressed by diseased biofluids. Here, we explore an intermediate representation, between spectral trace and classifier, able to furnish a communicative interface between expert and machine. This representation permits equivalent, or better, classification accuracies than either Principal Component Analysis (PCA) or Multi-Dimensional Scaling (MDS). In the training phase, the peaks in each trace are detected and clustered in order to compile a common dictionary, which could be visualised and adjusted by an expert. The dictionary is used to characterise each trace with a fixed-length feature vector, termed Bag of Peaks, ready to be classified with classical supervised methods. RESULTS: Our small-scale study, concerning Type I diabetes in Sardinian children, provides a preliminary indication of the effectiveness of the Bag of Peaks approach over standard PCA and MDS. Consistently higher classification accuracies are obtained once a sufficient number of peaks (greater than 10) are included in the dictionary. A large-scale simulation of noisy spectra further confirms this advantage. Finally, suggestions for metabolite-peak loci that may be implicated in the disease are obtained by applying standard feature selection techniques. AVAILABILITY: Matlab code to compute the Bag of Peaks representation may be found at: http://economia.uniss.it/docenti/bicego/BagOfPeaks/BagOfPeaks.zip CONTACT: gjb@crs4.it.br/br/post to: a href = http://www.citeulike.org/posturl?url=http%3A%2F%2Fwww.ncbi.nlm.nih.gov%2Fentrez%2Fquery.fcgi%3Fcmd%3DRetrieve%26db%3DPubMed%26dopt%3DAbstract%26list_uids%3D19017658title=Entrez+PubmedCiteULike/a

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Low-Level Virtual Machine (LLVM) is a compiler infrastructure designed for compile-time, link-time, run-time, and "idle-time" optimization of programs from arbitrary programming languages. It currently supports compilation of C, Objective-C, and C++ programs, using front-ends derived from GCC 4.0, GCC 4.2, and a custom new front-end, "clang". It supports x86, x86_64, ia64, PowerPC, and SPARC, with support for Alpha and ARM under development. hr / strongLicense:/strong OSI Approved hr / strongChanges:/strongbr / This release includes improved compilation speed, support for multiple return values in LLVM IR, and initial support for PIC16. llvmc2 (the generic compiler driver) gained plugin support. It is now easier to experiment with llvmc2 and build your own tools based on it. This release also includes an optional build system based on CMake. It still is in its early stages, but can be useful for Visual C++ users who cannot use the Visual Studio IDE. Other improvements in LLVM internals include a more efficient representation that leads to lower memory usage and better vector support.img src="http://feeds.feedburner.com/~r/freshmeat/feeds/fm-releases-global/~4/459851928" height="1" width="1"/

Low-Level Virtual Machine (LLVM) is a compiler infrastructure designed for compile-time, link-time, run-time, and "idle-time" optimization of programs from arbitrary programming languages. It currently supports compilation of C, Objective-C, and C++ programs, using front-ends derived from GCC 4.0, GCC 4.2, and a custom new front-end, "clang". It supports x86, x86_64, ia64, PowerPC, and SPARC, with support for Alpha and ARM under development. hr / strongLicense:/strong OSI Approved hr / strongChanges:/strongbr / This release includes improved compilation speed, support for multiple return values in LLVM IR, and initial support for PIC16. llvmc2 (the generic compiler driver) gained plugin support. It is now easier to experiment with llvmc2 and build your own tools based on it. This release also includes an optional build system based on CMake. It still is in its early stages, but can be useful for Visual C++ users who cannot use the Visual Studio IDE. Other improvements in LLVM internals include a more efficient representation that leads to lower memory usage and better vector support. pa href="http://feedads.googleadservices.com/~a/2tZhxj498H9vUBA362p6MbINXXE/a"img src="http://feedads.googleadservices.com/~a/2tZhxj498H9vUBA362p6MbINXXE/i" border="0" ismap="true"/img/a/pimg src="http://feedproxy.google.com/~r/freshmeat/feeds/fm-releases-unix/~4/TZttdx6XjVU" height="1" width="1"/

Low-Level Virtual Machine (LLVM) is a compiler infrastructure designed for compile-time, link-time, run-time, and "idle-time" optimization of programs from arbitrary programming languages. It currently supports compilation of C, Objective-C, and C++ programs, using front-ends derived from GCC 4.0, GCC 4.2, and a custom new front-end, "clang". It supports x86, x86_64, ia64, PowerPC, and SPARC, with support for Alpha and ARM under development. hr / strongLicense:/strong OSI Approved hr / strongChanges:/strongbr / This release includes improved compilation speed, support for multiple return values in LLVM IR, and initial support for PIC16. llvmc2 (the generic compiler driver) gained plugin support. It is now easier to experiment with llvmc2 and build your own tools based on it. This release also includes an optional build system based on CMake. It still is in its early stages, but can be useful for Visual C++ users who cannot use the Visual Studio IDE. Other improvements in LLVM internals include a more efficient representation that leads to lower memory usage and better vector support. pa href="http://feedads.googleadservices.com/~a/cxwyQnWpjyLshBhDkG6LUgGqrHM/a"img src="http://feedads.googleadservices.com/~a/cxwyQnWpjyLshBhDkG6LUgGqrHM/i" border="0" ismap="true"/img/a/pimg src="http://feedproxy.google.com/~r/freshmeat/feeds/fm-releases-global/~4/TZttdx6XjVU" height="1" width="1"/

div class="center"div class="image"a href="http://pixhost.ws/avaxhome/big_show.php?/avaxhome/5c/cb/0009cb5c.jpeg" target="_blank"img src="http://pixhost.ws/avaxhome/5c/cb/0009cb5c_medium.jpeg" id="external_img_641884"//a/divbr/ b3D-Album Commercial Suite v.3.15 + All Beautyfulstyle For Weeding | 525MB/b/divbr/ 3D-Album Commercial Suite is the complete digital solution for professionals. It combines 3D-Album’s unique and creative 3D animated presentation templates with innovative tools for organization, editing, and design. Choose from over 100 presentation themes for all occasions, and keep expanding your collection of themes with free downloads. Professional features include precision control over timing and animation, and encryption and password protection of output. Hotspot areas can be defined in images to play sound or video, display information, and link to Web sites. Other professional tools include efficient batch processing and editing, image annotations, filters, special effects, full-featured vector tools, printing templates and frames, and much more.

Posted by Dennis Sellers

Macware has released two new expansion packs for Logo Design Studio Pro, the logo design software. The Big Concept 1 and Alphabet Art 1 both install directly into Logo Design Studio Pro for instant use and feature new vector based logo templates and graphic objects.

Animath is a Finite Element Method library entirely implemented in C++. It is suited for fluid-structure interaction simulation, and it is mathematically based on higher-order tetrahedral elements. It provides front-ends to matrix solvers and mesh generators. hr / strongLicense:/strong BSD License (revised) hr / strongChanges:/strongbr / Much time went into the development of mesh manipulation code, i.e. edge collapse and vertex clustering routines (see the surfacemodel_c interface). Parallel solving of vector-valued problems that have decoupled components is now made easy by means of threads and employed in a new fluid solver. Some quite significant enhancements can also be found in the visualization code.img src="http://feeds.feedburner.com/~r/freshmeat/feeds/fm-releases-global/~4/459517452" height="1" width="1"/

Animath is a Finite Element Method library entirely implemented in C++. It is suited for fluid-structure interaction simulation, and it is mathematically based on higher-order tetrahedral elements. It provides front-ends to matrix solvers and mesh generators. hr / strongLicense:/strong BSD License (revised) hr / strongChanges:/strongbr / Much time went into the development of mesh manipulation code, i.e. edge collapse and vertex clustering routines (see the surfacemodel_c interface). Parallel solving of vector-valued problems that have decoupled components is now made easy by means of threads and employed in a new fluid solver. Some quite significant enhancements can also be found in the visualization code. pa href="http://feedads.googleadservices.com/~a/hSHzeMuQKD-RnI_LyLJP12aDS9U/a"img src="http://feedads.googleadservices.com/~a/hSHzeMuQKD-RnI_LyLJP12aDS9U/i" border="0" ismap="true"/img/a/pimg src="http://feedproxy.google.com/~r/freshmeat/feeds/fm-releases-unix/~4/tVCSnGOTmS0" height="1" width="1"/

Animath is a Finite Element Method library entirely implemented in C++. It is suited for fluid-structure interaction simulation, and it is mathematically based on higher-order tetrahedral elements. It provides front-ends to matrix solvers and mesh generators. hr / strongLicense:/strong BSD License (revised) hr / strongChanges:/strongbr / Much time went into the development of mesh manipulation code, i.e. edge collapse and vertex clustering routines (see the surfacemodel_c interface). Parallel solving of vector-valued problems that have decoupled components is now made easy by means of threads and employed in a new fluid solver. Some quite significant enhancements can also be found in the visualization code. pa href="http://feedads.googleadservices.com/~a/KHNUppyXz6eep6zaUEECABSlOgw/a"img src="http://feedads.googleadservices.com/~a/KHNUppyXz6eep6zaUEECABSlOgw/i" border="0" ismap="true"/img/a/pimg src="http://feedproxy.google.com/~r/freshmeat/feeds/fm-releases-global/~4/tVCSnGOTmS0" height="1" width="1"/

div class="imajorta"img src='http://www.bildirgec.org/imaj/AntiHumanIST/12-08-blue-vector-character.jpg' alt="""" border="0"br/divVektörel çizimlerin ve tasarımların güzelliÄŸini muhakkak bir yerlerde görmüÅŸsünüzdür. bazen fotoÄŸraf kadar gerçek ve canlıdırlar, ama bir fotoÄŸraftan beklenmeyecek kadar büyük boyutlarda görebilirsiniz onları. vektörel programlar kullanmak ayrı bir yetenek, Adobe Illustrator veya CORELDraw bu iÅŸin fırını ama photosop da sizleri vektör illüstrasyonları yapmaktan alıkoymuyor. Ä°ÅŸte photoshop ile yapılmış 30 vektör-benzeri profesyonel çizim ve tasarım dersi; pa href="http://xd-designs.com/Tutorials/Vectorcar/vectorcar.jpg"1. Veilside Fortune RX7/adiv class="imajorta"img src='http://www.bildirgec.org/imaj/AntiHumanIST/12-05-fortune-rx7.jpg' alt="""" border="0"br/divbra href="http://psdtuts.com/designing-tutorials/design-a-detailed-compass-icon-in-photoshop/"2. Detaylı bir pusula/adiv class="imajorta"img src='http://www.bildirgec.org/imaj/AntiHumanIST/12-09-compass-illustration.jpg' alt="""" border="0"br/divbra href="http://www.oman3d.com/tutorials/photoshop/homer/"3. Homer Simpson/adiv class="imajorta"img src='http://www.bildirgec.org/imaj/AntiHumanIST/12-11-homer-simpson.jpg' alt="""" border="0"br/divpa href="http://www.bildirgec.org/yazi/photoshop-icin-30-profesyonel-illustrasyon" devamını oku »/a/ppstrongilgili yazılar/strongullia href="http://www.bildirgec.org/yazi/inkscape-0-44-cikti"Inkscape 0.44 Çıktı!/a (1)/lilia href="http://www.bildirgec.org/yazi/illustrasyon-dunyasina-giris"illüstrasyon dünyasına giriÅŸ/a (0)/lilia href="http://www.bildirgec.org/yazi/vektorleriniz-itina-ile-cilalanir"Vektörleriniz itina ile cilalanır/a (4)/lilia href="http://www.bildirgec.org/yazi/130-vektor-logo-isaretler-ve"130 vektör Logo - Ä°ÅŸaretler ve Notlar/a (6)/lilia href="http://www.bildirgec.org/yazi/vektorel-grunge-setleri-10-paket"vektörel grunge setleri (10 paket)/a (6)/lilia href="http://www.bildirgec.org/yazi/80-bedava-vektor-kaynagi-ve"80 bedava vektör kaynağı ve dersi/a (2)/lilia href="http://www.bildirgec.org/yazi/lazer-islemeli-powerbook"Lazer iÅŸlemeli Powerbook/a (2)/lilia href="http://www.bildirgec.org/yazi/vektor-logolar-bulabileceginiz-7-web"Vektör logolar bulabileceÄŸiniz 7 web sitesi/a (3)/li/ul/ppbu yazı a href="http://www.bildirgec.org/uye/AntiHumanIST"AntiHumanIST/a tarafından bildirgec.org adresli sitede yayımlanmak üzere yazılmıştır. kaynak gösterilmeksizin kopyalanamaz./ppetiketler: a href="http://www.bildirgec.org/etiket/vekt%C3%B6r" rel="tag" target="_self"vektör/a, a href="http://www.bildirgec.org/etiket/vector%20like" rel="tag" target="_self"vector like/a, a href="http://www.bildirgec.org/etiket/vekt%C3%B6r%20benzeri" rel="tag" target="_self"vektör benzeri/a, a href="http://www.bildirgec.org/etiket/photoshop%20ile%20vekt%C3%B6r" rel="tag" target="_self"photoshop ile vektör/a, a href="http://www.bildirgec.org/etiket/phoshopta%20vekt%C3%B6rel%20%C3%A7izim" rel="tag" target="_self"phoshopta vektörel çizim/a, a href="http://www.bildirgec.org/etiket/illustrator" rel="tag" target="_self"illustrator/a, a href="http://www.bildirgec.org/etiket/vekt%C3%B6rel" rel="tag" target="_self"vektörel/a, a href="http://www.bildirgec.org/etiket/pusula" rel="tag" target="_self"pusula/a, a href="http://www.bildirgec.org/etiket/bilardo%20topu" rel="tag" target="_self"bilardo topu/a, a href="http://www.bildirgec.org/etiket/ipod" rel="tag" target="_self"ipod/a, a href="http://www.bildirgec.org/etiket/%C3%A7akmak" rel="tag" target="_self"çakmak/a, a href="http://www.bildirgec.org/etiket/kalem" rel="tag" target="_self"kalem/a, a href="http://www.bildirgec.org/etiket/defter" rel="tag" target="_self"defter/a, a href="http://www.bildirgec.org/etiket/simkart" rel="tag" target="_self"simkart/a, a href="http://www.bildirgec.org/etiket/otomobil" rel="tag" target="_self"otomobil/a/p pa href="http://rss.bildirgec.org/~a/bildirgec?a=p2Kf31"img src="http://rss.bildirgec.org/~a/bildirgec?i=p2Kf31" border="0"/img/a/pdiv class="feedflare" a href="http://rss.bildirgec.org/~f/bildirgec?a=69IzN"img src="http://rss.bildirgec.org/~f/bildirgec?i=69IzN" border="0"/img/a a href="http://rss.bildirgec.org/~f/bildirgec?a=1RsLN"img src="http://rss.bildirgec.org/~f/bildirgec?i=1RsLN" border="0"/img/a /divimg src="http://rss.bildirgec.org/~r/bildirgec/~4/459513258" height="1" width="1"/

Publication Date: 2008 Nov 18 PMID: 19014713br/Authors: Peto, M. - Kloczkowski, A. - Honavar, V. - Jernigan, R. L.br/Journal: BMC Bioinformaticsbr/br/ABSTRACT: BACKGROUND: By using a standard Support Vector Machine (SVM) with a Sequential Minimal Optimization (SMO) method of training, Naive Bayes and other machine learning algorithms we are able to distinguish between two classes of protein sequences: those folding to highly-designable conformations, or those folding to poorly- or non-designable conformations. RESULTS: First, we generate all possible compact lattice conformations for the specified shape (a hexagon or a triangle) on the 2D triangular lattice. Then we generate all possible binary hydrophobic/polar (H/P) sequences and by using a specified energy function, thread them through all of these compact conformations. If for a given sequence the lowest energy is obtained for a particular lattice conformation we assume that this sequence folds to that conformation. Highly-designable conformations have many H/P sequences folding to them, while poorly-designable conformations have few or no H/P sequences. We classify sequences as folding to either highly - or poorly-designable conformations. We have randomly selected subsets of the sequences belonging to highly-designable and poorly-designable conformations and used them to train several different standard machine learning algorithms. CONCLUSIONS: By using these machine learning algorithms with ten-fold cross-validation we are able to classify the two classes of sequences with high accuracy - in some cases exceeding 95%.br/br/post to: a href = http://www.citeulike.org/posturl?url=http%3A%2F%2Fwww.ncbi.nlm.nih.gov%2Fentrez%2Fquery.fcgi%3Fcmd%3DRetrieve%26db%3DPubMed%26dopt%3DAbstract%26list_uids%3D19014713title=Entrez+PubmedCiteULike/a

div class="image"a href="http://pixhost.ws/avaxhome/big_show.php?/avaxhome/fb/c9/0009c9fb.gif" target="_blank"img src="http://pixhost.ws/avaxhome/fb/c9/0009c9fb_medium.gif" id="external_img_641531"//a/divbr/ div class="center"bReal DRAW Pro 5.1.1 | 32.8 MB /b/divbr/ First time in just one drawing package you have the power to combine vector, 2D, 3D and bitmap editing into new level, where one form seamlesly transforms into another.Real-DRAW sets a whole new standard in vector editing.

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Like Thought has published a v1.2 update to Opacity, its graphics creation utility. The software is specifically intended to design art for program development, and combines pixel and vector editors with Photoshop-like tools such as filters, layers and transforms. Users can also insert variable items, and tap into resources such as factories and templates....


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Like Thought has published a v1.2 update to Opacity, its graphics creation utility. The software is specifically intended to design art for program development, and combines pixel and vector editors with Photoshop-like tools such as filters, layers and transforms. Users can also insert variable items, and tap into resources such as factories and templates....

Publication Date: 2008 Nov 12 PMID: 19014490br/Authors: Sinha, R. - Hiller, M. - Pudimat, R. - Gausmann, U. - Platzer, M. - Backofen, R.br/Journal: BMC Bioinformaticsbr/br/ABSTRACT: BACKGROUND: Alternative splicing is a major contributor to the diversity of eukaryotic transcriptomes and proteomes. Currently, large scale detection of alternative splicing using expressed sequence tags (ESTs) or microarrays does not capture all alternative splicing events. Moreover, for many species genomic data is being produced at a far greater rate than corresponding transcript data, hence in silico methods of predicting alternative splicing have to be improved. RESULTS: Here, we show that the use of Bayesian networks (BNs) allows accurate prediction of evolutionary conserved exon skipping events. At a stringent false positive rate of 0.5%, our BN achieves an improved true positive rate of 61%, compared to a previously reported 50% on the same dataset using support vector machines (SVMs). Incorporating several novel discriminative features such as intronic splicing regulatory elements leads to the improvement. Features related to mRNA secondary structure increase the prediction performance, corroborating previous findings that secondary structures are important for exon recognition. Random labelling tests rule out overfitting. Cross-validation on another dataset confirms the increased performance. When using the same dataset and the same set of features, the BN matches the performance of an SVM in earlier literature. Remarkably, we could show that about half of the exons which are labelled constitutive but receive a high probability of being alternative by the BN, are in fact alternative exons according to the latest EST data. Finally, we predict exon skipping without using conservation-based features, and achieve a true positive rate of 29% at a false positive rate of 0.5%. CONCLUSION: BNs can be used to achieve accurate identification of alternative exons and provide clues about possible dependencies between relevant features. The near-identical performance of the BN and SVM when using the same features shows that good classification depends more on features than on the choice of classifier. Conservation based features continue to be the most informative, and hence distinguishing alternative exons from constitutive ones without using conservation based features remains a challenging problem.br/br/post to: a href = http://www.citeulike.org/posturl?url=http%3A%2F%2Fwww.ncbi.nlm.nih.gov%2Fentrez%2Fquery.fcgi%3Fcmd%3DRetrieve%26db%3DPubMed%26dopt%3DAbstract%26list_uids%3D19014490title=Entrez+PubmedCiteULike/a