Advanced search in the Qur'an using semantic modeling

2015 ◽  
Author(s):  
Aimad Hakkoum ◽  
Said Raghay
Keyword(s):  
Semantic Modeling ◽  
Advanced Search

SYSTEMATIC REVIEW: EFEKTIFITAS METODE HANDOVER DALAM MENINGKATKAN KOMUNIKASI PERAWAT

2017 ◽  
Author(s):  
Hani Tuasikal
Keyword(s):  
Systematic Review ◽  
Data Base ◽  
Full Text ◽  
Advanced Search ◽  
Google Search

Latar belakang: Pelaksanaan handover di RS berkiatan erat dengan dengan peran perawat dalam menggunakan metode pada saat pergantian shift. Oleh karena itu, untuk meningkatkan komunikasi diantara perawat dibutuhkan metode-metode yang efektif dalam metode-melakukan handover. Adapun metode yang digunakan adalah verbal, dengan catatan, melalui telepon dan SBAR. Metode: Penelusuran literature data base dari EBSCO, sciendirect, google search dan PubMed dari tahun 2005-2015 dilakukan menggunakan advanced search keyword yang dipilih dalam pencarian adalah handover communication, patien savety. Pencarian dibatasi pada tahun 2005-2015, full text, dan harus yang berbahasa inggris. Setelah dilakukan search ditemukan 171 artikel pada sciendirect, 23 artikel pada PubMed, dan 32 artikel pada ebscho dan yang sesuai dengan kriteria inklusi adalah 6 artikel. 6 artikel tersebut sesuai dengan kriteria study yaitu RCTs, Cohor, Case Study dan Systematic Review. Responden dalam artikel ini adalah perawat yang melakukan handover. Intervensi yang dilakukan adalah metode-metode handover. Outcome meningkatkan komunikasi antar perawat. Hasil: temuan berupa 6 artikel hasil pembahasan menunjukan bahwa metode handover dengan SBAR sangat efektif untuk meningkatkan komunikasi antar perawat. Kesimpulan: Metode SBAR sangat efektif digunakan dalam handover. Dengan metode ini, dapat mengoptimalkan komunikasi antar perawat dalam melakukan handover di setiap pergantian shif.

From the history of the development of electronic dictionaries: foreign and domestic experience

2020 ◽  
Vol 11 (1) ◽  
pp. 6-12
Author(s):  
O. Y. Balalaieva ◽  
Keyword(s):  
Human Activity ◽  
Current Level ◽  
Ease Of Use ◽  
Advanced Search ◽  
Wide Range ◽  
Promising Area ◽  
History Of ◽  
Machine Readable ◽  
Everyday Communication ◽  
Educational Professional

The purpose of the article is to study the dynamics of electronic dictionaries development abroad and in Ukraine using methods of analysis of scientific sources, comparison, generalization and systematization. Electronic dictionaries have been found to be a relatively new phenomenon in the lexicographic market, evolving from machine-readable dictionaries, exact copies of paper editions to complex digital lexicographic systems with a powerful arsenal of functions over the decades. The stages of development of autonomous and online dictionaries are described. Electronic dictionaries due to the advanced search capabilities, speed, simplicity, ease of use, accessibility and compactness have gained popularity among a wide range of users. Today they are used in many spheres of human activity – scientific, educational, professional, everyday communication. However, the analysis of the current level of development of Ukrainian electronic resources indicates a shortage of electronic dictionaries both common and terminological vocabulary. The lack of electronic dictionaries is due to a number of objective problems, both practical and theoretical, that is why research in the field of domestic computer lexicography is a promising area of further research.

scholarly journals Developing information literacy skills in nursing and rehabilitation therapy students

2005 ◽  
Vol 26 (1) ◽  
pp. 7 ◽  
Author(s):  
Paola Durando ◽  
Patricia Oakley
Keyword(s):  
Information Literacy ◽  
Physical Therapists ◽  
Evidence Base ◽  
Literacy Skills ◽  
Evidence Based ◽  
Skill Sets ◽  
Rehabilitation Therapy ◽  
Entry Level ◽  
New Graduates ◽  
Advanced Search

The environment in which nurses and rehabilitation therapists practice is rapidly evolving, resulting in changes in the skill sets and competencies required of new graduates. Evidence-based practice models, for example, require that entry-level nurses, physical therapists, and occupational therapists have the ability to identify, locate, and critically appraise research findings. This paper will describe curriculum-integrated, for-credit information literacy programs developed by the authors in collaboration with faculty members from the Schools of Nursing and Rehabilitation Therapy at Queen's University in Kingston, Ontario. The short-term goal of these programs is to teach undergraduate and graduate students advanced search strategy skills and critical appraisal techniques that will enable them to explore the implications of their literature findings. The long-term goal is to graduate practitioners who not only will have the skills to practice evidence-based health care but also will participate in scholarly activities and thus contribute to the evidence base in their disciplines.

scholarly journals Feature Selection Using Enhanced Particle Swarm Optimisation for Classification Models

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1816
Author(s):  
Hailun Xie ◽  
Li Zhang ◽  
Chee Peng Lim ◽  
Yonghong Yu ◽  
Han Liu
Keyword(s):  
Feature Selection ◽  
Particle Swarm ◽  
Nonlinear Function ◽  
Particle Swarm Optimisation ◽  
Data Sets ◽  
Discriminative Feature ◽  
Advanced Search ◽  
Selection For ◽  
Selection Tasks ◽  
New Strategies

In this research, we propose two Particle Swarm Optimisation (PSO) variants to undertake feature selection tasks. The aim is to overcome two major shortcomings of the original PSO model, i.e., premature convergence and weak exploitation around the near optimal solutions. The first proposed PSO variant incorporates four key operations, including a modified PSO operation with rectified personal and global best signals, spiral search based local exploitation, Gaussian distribution-based swarm leader enhancement, and mirroring and mutation operations for worst solution improvement. The second proposed PSO model enhances the first one through four new strategies, i.e., an adaptive exemplar breeding mechanism incorporating multiple optimal signals, nonlinear function oriented search coefficients, exponential and scattering schemes for swarm leader, and worst solution enhancement, respectively. In comparison with a set of 15 classical and advanced search methods, the proposed models illustrate statistical superiority for discriminative feature selection for a total of 13 data sets.

Googleology for second language learning

2021 ◽  
Vol 11 (2) ◽  
pp. 453-469
Author(s):  
Patrizia Giampieri
Keyword(s):  
Second Language ◽  
Language Learning ◽  
Language Learners ◽  
Second Language Learning ◽  
Second Language Learners ◽  
Language Skills ◽  
Linguistic Research ◽  
Advanced Search ◽  
The World ◽  
Google Search

Abstract The World Wide Web has often been considered too vast to be consulted for linguistic purposes or for language learning. This paper will explore whether second language learners can be taught how to navigate the web (i.e., how to perform Google linguistic research, or “Googleology”), in order to improve their language skills. To this aim, a 2 h trial lesson was organized. The trial lesson was delivered to 78 apprentices, divided into groups of 10–15, over a period of six months. During the lesson, the participants were taught how to work with Google Advanced Search syntax. At the end of the lesson, they applied the newly-acquired skills by completing a few tasks concerning term and/or collocational search. The paper findings will highlight that, despite initial hesitation or inaccuracies in completing the exercises, the tasks were performed well. The participants considered the lesson interesting, useful and enjoyable. They felt engaged irrespective of the level of their second language (L2) knowledge, and were more confident in approaching Google Search for linguistic purposes.

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