305,268 research outputs found
Uraian Singkat Tentang E-Learning
No full textBuku kategori keguruan dan ilmu pendidikan yang berjudul Uraian Singkat Tentang E-Learning merupakan karya dari Enty Lafina Nasution. Perubahan di segala bidang kehidupan manusia telah menuntut manusia itu sendiri untuk selalu beradaptasi dengan perubahan yang terjadi. Begitu juga perubahan yang terjadi pada bidang pendidikan di mana saat ini setiap orang ingin untuk selalu belajar tanpa mengenal batas waktu dan tempat sehingga dari keinginan inilah muncul suatu ide untuk membuat suatu proses pembelajaran yang dapat dilakukan tanpa mengenal batas waktu dan tempat dengan biaya yang cukup hemat, yakni dengan menggunakan sistem elektronik yang saat ini lebih dikenal dengan pembelajaran secara elektronik atau e-learning (electronic learning). Penjelasan singkat dalm buku ini tentang pembelajaran secara elektronik yang sangat penting pada saat ini sesuai dengan perkembangan zaman dan teknologi di dalam mewujudkan insan yang intelektual dan berkarakter. Semoga buku ini bermanfaat bagi kita semua di dalam memajukan kualitas pendidikan di era globalisasi ini
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Author, publisher and bookseller : a tripartite synergy in Nigerian book industry
No full textThis work is about the roles of Author, Publisher and Bookseller in Book development in
Nigeria. The paper started by delving into the history of Book Publishing in Nigeria after
which it proceeded by defining who an author, a publisher, and a bookseller is and
expatiated on the indispensable roles of these key actors in Nigerian Book Industry and in
the emerging Information Society. Furthermore, the various constraints to book
development were identified while the paper advised on how the Book Industry can be
further promoted in Nigeria. However, the paper concluded and made recommendations
on how the Book sector can help in enhancing scholarship in the country
Is Plasmodium falciparum malaria incidence and severity in holo-endemic areas affected by gender?
No full textMalaria is a debilitating and deadly disease that threatens 40% of the world population, causing 435000 deaths every year and resulting in untold suffering and
human misery around the world – predominantly in Africa. It has been suggested that malaria has a different impact on women and men, both social and biological
factors contribute to this difference. The study enrolment was conducted between June and October 2018 at the HopeXchange Medical Centre (HXC), located in the suburbs of Kumasi (Ghana). A sequential mixed-methods design comprising qualitative (focus group discussions, FGDs; in-depth interviews, IDI) and quantitative methods was used. Hundred and-twenty-four individuals were diagnosed with malaria at HXC and enrolled. This study found a low ownership (40%) and use (19%) of insecticide-treated nets (ITNs) compared to the national data (57%). Most of malaria cases were women, less educated and presenting more external risk factors to get infected. The study unexpectedly found a decreased ITN use and an increased self-medication attitude among respondents. Furthermore, our data suggest that women are considerably more exposed than men to get malaria infections, especially due to their prolonged exposure to mosquito bites during the most dangerous hours. Our
study highlighted the need to invest in future malaria policies and research tools more focused on people’s social and behavioral aspects and not entirely concentrated
on biological or clinical factors
[Report to Chief J. E. Curry, by an unknown author #2]
No full textReport to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
[Report to Chief J. E. Curry, by an unknown author #1]
No full textReport to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
Mining e-mail content for author identification forensics
No full textWe describe an investigation into e-mail content mining for author identification, or authorship attribution, for the purpose of forensic investigation. We focus our discussion on the ability to discriminate between authors for the case of both aggregated e-mail topics as well as across different email topics. An extended set of e-mail document features including structural characteristics and linguistic patterns were derived and, together with a Support Vector Machine learning algorithm, were used for mining the e-mail content. Experiments using a number of e-mail documents generated by different authors on a set of topics gave promising results for both aggregated and multi-topic author categorisation
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