3,378 research outputs found
Determining Temperature Change on Photothermal Au Nanorod and Au Nanocage Using Smart Polymers
No full textCavusoglu, Halit/0000-0002-7215-651X
Nanothermometer: Measuring Temperature Change in Nanometer Scale on Photothermal Au Nanoparticles
No full textCavusoglu, Halit/0000-0002-7215-651X
SCOAP3
No full textTUBITAK Vice President Abdullah Cavusoglu and CERN Director General Rolf-Dieter Heuer sign the Memorandum of Understanding for the participation of Turkey to the SCOAP3 Open Access initiativ
Novel Photothermal-Based Release Mechanism for Controlled Release on Au Nanoparticles Through Light
No full textYavuz, Emine/0000-0002-9316-8317; Cavusoglu, Halit/0000-0002-7215-651XScientific and Technological Research Council of Turkey (TUBITAK) [112M096, COST TD1004]; Selcuk University Scientific Research Fund (BAP)This work was supported by the Scientific and Technological Research Council of Turkey (TUBITAK Grant 112M096, COST TD1004) and Selcuk University Scientific Research Fund (BAP)
Interview with Sofie Abdullah
No full textفي هذه المقابلة، تتحدث الكاتبه صوفى عبد الله عن أسرار مهنة الكتابة.In this interview, Sofie Abdullah, a well-known Egyptian author, discusses the intricacies of the writing industry
Interview with Abdullah El Tayib
No full textفي هذه المقابلة، يتحدث الأديب والناقد والشاعر السوداني عبد الله الطيب عن مؤلفاته في النقد والقصص الشعبية ودواوينه الشعريه.In this interview, Sudanese author, intellectual, and poet Abdullah El Tayib discusses his collections of poetry, well-known stories, and critical writings
Interview with Abdullah Al-Baradouni
No full textلقاء مع الشاعر اليمنى عبد الله البرادوني للتكلم عن مكانة الشعر اليوم. أجرى اللقاء إبراهيم عابدين.An interview with Yemeni author and poet Abdullah Al-Baradouni about the role of poetry in modern times. Interview conducted by Ibrahim Abdeen
Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference
No full textWe study the problem of author-paper correlation inference in big scholarly data, which is to effectively infer potential correlated works for researchers using historical records. Unlike supervised learning algorithms that predict relevance score of author-paper pair via time and memory consuming feature engineering, network embedding methods automatically learn nodes' representations that can be further used to infer author-paper correlation. However, most current models suffer from two limitations: (1) they produce general purpose embeddings that are independent of the specific task; (2) they are usually based on network structure but out of content semantic awareness. To address these drawbacks, we propose a task-guided and semantic-aware ranking model. First, the historical interactions among all correlated author-paper pairs are formulated as a pairwise ranking loss. Next, the paper's semantic embedding encoded by gated recurrent neural network, together with the author's latent feature is used to score each author-paper pair in ranking loss. Finally, a heterogeneous relations integrative learning module is designed to further augment the model. The evaluation results of extensive experiments on the well known AMiner dataset demonstrate that the proposed model reaches significant better performance, comparing to a number of baselines.We would like to thank Yuxiao Dong for suggestions. This work is supported by the Army Research Laboratory under Cooperative Agreement Number W911NF-09-2-0053 and the National Science Foundation (NSF) grant IIS-1447795. This work is partially supported by King Abdullah University of Science and Technology (KAUST)
Kajian Sastra Perjalanan dalam Hikayat Kisah Pelayaran Abdullah ke Mekah Karya Abdullah Bin Abdul Kadir Munsyi
No full textThis research is aimed to identify and to reveal a hikayat as classic travel literature of Indonesia by the travel writing theory of Carl Thompson. To gain those purposes, this research used literary criticism and descriptive-analytic methods. The object of this study is Kisah Pelayaran Abdullah ke Mekah by Abdullah bin Abdul Kadir Munsyi (1854), focusing on the six elements of travel writing by Carl Thompson’s approach based on the hikayat. This study shows that the hikayat contains six elements of travel writing. Those are self, other, movement, space, encounter, and writing. Abdullah as a sailor puts himself in his hikayat as the main character by using “sahaya” and “aku” to articulate “self” in his hikayat. The “self” during travel met new and foreign things that the author had never seen before. He drew and expressed his point of view, feeling, and observation of all the encounters that he had met during sailing in to hikayat.Keywords: Carl Thompson, hikayat, travel writin
Dynamic augmentation of SCORM pre-authored course materials with adaptive links to supplementary resources
No full textIn a SCORM compliant courseware, content and the pedagogic approach to be taken are predefined by the course author. As a consequence, users are unable to learn according to their preferences, and implicitly they will all encounter the same learning experience. Recent attempts to personalise learning in SCORM often resulted in either modifying or substituting SCORM specification elements. Nonetheless, SCORM is a widely-used solution to interoperability problems. For this reason, this work focuses on supplementing SCORM rather than redefining it. This is accomplished by dynamically associating each pre-authored learning material in a SCORM package with adaptive links to relevant supplementary resources upon delivery. As a result, we have developed a Personalised Link Service (PLS) to deliver these links into user’s SCORM-compliant learning environment. In this paper, we present the design of a PLS authoring architecture which enables the automatic generation of a concept map from a SCORM package and consequently links to alternative learning resources, and a PLS run-time service oriented architecture which delivers these alternative resources, alongside the SCORM defined resources, according to a user model. We demonstrate the feasibility of our architecture by implementing a service to support a simple notion of a user model (Preferred Learning style)
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