1,720,969 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe 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
APLIKASI REKAM MEDIS DI KLINIK UNISKA MAB BANJARMASIN
No full textUntuk meminimalkan medication error (kesalahan pembacaan resep dan dosis) yang dilakukan oleh apoteker maupun asisten apoteker, maka dibuat aplikasi online e – prescribing, yaitu dokter entry secara langsung resep yang akan diberikan ke pasien, dan apoteker atau asisten apoteker langsung membaca di layar komputer dan langsung menerapkan resep yang sesuai dengan request dari dokter sehingga tidak terjadi kesalahan dan data menjadi akurat serta waktu yang diperlukan bisa lebih cepat. Dalam penelitian ini juga menerapkan barcode system peresepan yang memudahkan apoteker maupun asisten apoteker dalam menyesuaikan keakuratan data stok fisik obat, dengan menambahkan barcode sistem untuk masuk dan keluarnya obat akan terkontrol dan akurat sehingga meminimalisir kesalahan dalam pengentrian data pabrik dengan merek obat yang sama. Penelitian ini diimplementasikan di Rumah Sakit Pertamina Tanjung, Kalimantan Selatan. Development Tools yang digunakan adalah Power Builder V.12 dengan database sybase. Dari hasil uji kuesioner yang diberikan kepada pengguna aplikasi E-Prescribing dan barcode system, didapatkan hasil yang memuaskan yaitu: untuk performance sebanyak 81.82% , Durability 84,24%, Confermence to Specification untuk hak akses apotek sebanyak 93% sedangkan untuk hak akses poli/dokter yaitu 86,6%, untuk Feature 84,24%, realibity 83,64% dan estetika 79,4%
Optimasi Hyperparameter Pada Metode Convolutional Neural Network Untuk Klasifikasi Jenis Penyakit Kanker Kulit Menggunakan Bayesian Optimization
No full textPenelitian ini bertujuan untuk meningkatkan kinerja model Convolutional Neural Network (CNN) dalam klasifikasi jenis kanker kulit melalui optimasi hyperparameter menggunakan pendekatan Bayesian Optimization. Empat arsitektur CNN digunakan, yaitu EfficientNetV2S, EfficientNetV2M, EfficientNetV2L, dan ResNet50V2, masing-masing diuji dalam dua skenario pelatihan dengan augmentasi dan tanpa augmentasi. Evaluasi dilakukan menggunakan akurasi, presisi, recall, F1-score, dan Cohen’s Kappa. Hasil eksperimen menunjukkan bahwa Bayesian Optimization secara konsisten meningkatkan kinerja model pada hampir semua metrik. Model terbaik adalah EfficientNetV2S dengan hyperparameter tuning tanpa augmentasi, yang mencapai akurasi, presisi, recall, dan F1-score sebesar 0,98, serta Kappa 0,96. Model ResNet50V2 juga menunjukkan efisiensi tinggi dengan waktu pelatihan sekitar 2225 detik dan F1-score 0,96. Model EfficientNetV2M dan EfficientNetV2L mengalami peningkatan performa signifikan, dengan kenaikan akurasi lebih dari 10% sampai 17% dibandingkan parameter default. Secara keseluruhan, Bayesian Optimization terbukti efektif dalam menemukan kombinasi parameter optimal, sehingga meningkatkan akurasi, stabilitas, dan efisiensi pelatihan model CNN untuk klasifikasi citra medis.
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This study aims to improve the performance of Convolutional Neural Network (CNN) models in classifying types of skin cancer through hyperparameter optimization using the Bayesian Optimization approach. Four CNN architectures were employed, namely EfficientNetV2S, EfficientNetV2M, EfficientNetV2L, and ResNet50V2, each evaluated under two training scenarios with augmentation and without augmentation. The models were assessed using accuracy, precision, recall, F1-score, and Cohen’s Kappa metrics. The experimental results indicate that Bayesian Optimization consistently enhances model performance across nearly all evaluation metrics. The best-performing model was EfficientNetV2S with hyperparameter tuning and without augmentation, achieving accuracy, precision, recall, and F1-score of 0.98, along with a Kappa score of 0.96. The ResNet50V2 model also demonstrated high efficiency, with a training time of approximately 2225 seconds and an F1-score of 0.96. EfficientNetV2M and EfficientNetV2L also showed significant performance improvements, with accuracy increases of more than 10% until 17% compared to their default parameter configurations. Overall, Bayesian Optimization has proven effective in identifying optimal hyperparameter combinations, thereby improving the accuracy, stability, and training efficiency of CNN models for medical image classification tasks
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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