TIARA 2.0: an interactive tool for annotating discourse structure and text improvement

Discourse structure annotation aims at analysing how discourse units (e.g. sentences or clauses) relate to each other and what roles they play in the overall discourse. Several annotation tools for discourse structure have been developed. However, they often only support specific annotation schemes, making their usage limited to new schemes. This article presents TIARA 2.0, an annotation tool for discourse structure and text improvement. Departing from our specific needs, we extend an existing tool to accommodate four levels of annotation: discourse structure, argumentative structure, sentence rearrangement and content alteration. The latter two are particularly unique compared to existing tools. TIARA is implemented on standard web technologies and can be easily customised. It deals with the visual complexity during the annotation process by systematically simplifying the layout and by offering interactive visualisation, including clutter-reducing features and dual-view display. TIARA’s text-view allows annotators to focus on the analysis of logical sequencing between sentences. The tree-view allows them to review their analysis in terms of the overall discourse structure. Apart from being an annotation tool, it is also designed to be useful for educational purposes in the teaching of argumentation; this gives it an edge over other existing tools.

Comparisons on Calculating Methods of Total Daily Global Solar Radiation in Urban Area Based on Panoramic Images

In this paper, the total daily global solar radiation is tested at 18 locations with different morphological characteristics in Xi’an University of Architecture and Technology. PTgui is used to convert the panoramic pictures from Baidu Street Map to fisheye images. Sky view factor (SVF) and tree view factor (TVF) are calculated by Rayman model with fisheye images. SVF is used to calculate the total daily global solar radiation at the 18 locations with two different methods and TVF is used to classify the locations. The calculations and testing results are compared and combined the morphological characteristics. Then it is found that using suitable methods on different locations is necessary to obtain more accurate results whether the TVF (tree view factor) is more than 0.3 or less. To obtain solar radiation at different locations in the urban area, the calculating methods should be carefully chosen based on the morphology characteristics of the location.

Rhizomatic Influence: The Antigenealogy of Glissant and Deleuze

To identify literary influences is, conventionally, to build a genealogy—to, in Salman Rushdie’s words, “name one’s parents.” But can this family-tree view of literary influence hold up in postcolonial literature—a body of work that has so thoroughly deconstructed concepts of genealogy? This article turns to a pivotal case of “influence” in postcolonial Francophone literature and philosophy: among Édouard Glissant and Gilles Deleuze and Félix Guattari. The latter two writers are thought to have influenced Glissant’s thinking with their concept of the “rhizome,” but the rhizome directly counters such genealogizing as this “influence” would imply. In fact, this article shows, Glissant develops his own version of the rhizome from his very earliest writings, particularly his first poems. An analysis of them alongside Glissant’s subsequent essays and Deleuze and Guattari’s own writing, allows for a more complicated, multidirectional—that is, rhizomatic—theory of postcolonial influence.

APLIKASI E-LEARNING MENGGUNAKAN TREE VIEW

[Id]Beberapa negara maju telah lama menerapkan komputer dan ICT dalam lingkungan pembelajaran baik intranet maupun internet, dan dalam bentuk Computer Aided Learning (CAL) maupun Intelligent Tutorial System (ITS). Berdasarkan pengamatan institusi pendidikan Sekolah Menengah Umum di Indonesia telah memanfaatkan fasilitas komputer untuk keperluan pembelajarannya, salah satunya adalah menggunakan sarana pembelajaran e-learning. Dalam penelitian ini di bangun suatu perangkat lunak Self Learning Centre (SLC) yang bertujuan untuk mendukung proses pembelajaran dan memantau perkembangan siswa secara on-line dengan menggunakan metode Asyncronous Learning.Aplikasi e-learning dengan menggunakan tree view sebagai alat bantu proses pembelajaran di SMU ini di buat dengan menggunakan Macromedia Dreamwaver MX, bahasa pemogramman PHP, Java Script dan database menggunakan MySQL, dan? perancangan sistemnya menggunakan UML (Unified Modelling Language).Berdasarkan hasil implementasi, dapat di simpulkan bahwa Aplikasi e-learning SLC dapat membantu siswa dan guru dalam menggunakan materi paper based menjadi computer based yang lebih dinamis. Selain itu juga SLC dapat dijadikan salah satu fasilitas untuk menyajikan materi terstruktur dengan menggunakan tree view dan untuk melihat hasil perkembangan siswa berupa statistik dan grafik. Untuk perkembangan aplikasi ini materi dan soal-soal yang ditampilkan sebaiknya di update secara periodik yang sesuai dengan kebutuhan siswa.Kata Kunci : E-Learning, TreeView, SLC, Asynchronous learning[En]Some developed countries implemented computer and ICT in learning environment both intranet and internet, and in the form of Computer Aided Learning (CAL) and Intelligent Tutorial System (ITS). Based on the observations, some of high school education institutions in Indonesia have utilized computer facilities for learning purposes, such as using e-learning tools. In this research we built a Self Learning Center (SLC) software that aims to support the learning process and monitor the progrss of students learning on-line using Asyncronous Learning method.The e-learning application is built using tree view as a tool of learning process. It was created using Macromedia Dreamwaver MX, PHP programming language, Java Script and MySQL database.Based on the results of implementation, it can be concluded that the SLC e-learning application can help students and teachers to swift from paper-based materials to computer based. In addition SLC can be used as one of the facilities to present the material structured using tree view and to see the results of student progress by presenting statistics and graphs

IslandHunter – A Java-based GI detection software

Over the past decade, researchers have discovered that apart from the essential genes, bacterial genomes also contain a variable amount of accessory genes acquired by horizontal gene transfer (HGT) that are categorized as genomic islands (GIs). GIs encode adaptive traits, which might be beneficial for the species under certain growth or environmental conditions. It has always been a challenge for biologists to identify GIs within a bacterial genome as they evolve very rapidly. This paper proposes a standalone software, IslanHunter, that has been developed using Java and BioJava and can extract GI regions using GC content, codon usage bias, dinucleotide frequency bias, tetranucleotide frequency bias, k-mer signature analysis (2-mer, 3-mer, 4-mer, 5-mer, and 6-mer) and presence of mobility genes. IslandHunter provides a simple graphical user interface where disclosed GIs are displayed in a tree-view and a circular graph. Users are presented with options to save the GI regions as blocks of DNA sequences in FASTA format. They can later use these predicted GI regions for further analysis. IslandHunter can take as input, files in GenBank, EMBL or FASTA formats. IslandHunter provides flexible display options and save options. The software has been evaluated against exiting tools with good performance. It is available for evaluation at https://github.com/ShakunBaichoo/IslandHunter .

IslandHunter – A Java-based GI detection software

Over the past decade, researchers have discovered that apart from the essential genes, bacterial genomes also contain a variable amount of accessory genes acquired by horizontal gene transfer (HGT) that are categorized as genomic islands (GIs). GIs encode adaptive traits, which might be beneficial for the species under certain growth or environmental conditions. It has always been a challenge for biologists to identify GIs within a bacterial genome as they evolve very rapidly. This paper proposes a standalone software, IslanHunter, that has been developed using Java and BioJava and can extract GI regions using GC content, codon usage bias, dinucleotide frequency bias, tetranucleotide frequency bias, k-mer signature analysis (2-mer, 3-mer, 4-mer, 5-mer, and 6-mer) and presence of mobility genes. IslandHunter provides a simple graphical user interface where disclosed GIs are displayed in a tree-view and a circular graph. Users are presented with options to save the GI regions as blocks of DNA sequences in FASTA format. They can later use these predicted GI regions for further analysis. IslandHunter can take as input, files in GenBank, EMBL or FASTA formats. IslandHunter provides flexible display options and save options. The software has been evaluated against exiting tools with good performance. It is available for evaluation at https://github.com/ShakunBaichoo/IslandHunter .