105,051 research outputs found
H. Veit Apfel. Literary Quotation and Allusion in Demetrius « De Elocutione » and Longinus « De Sublimitate »
Meunier Jules. H. Veit Apfel. Literary Quotation and Allusion in Demetrius « De Elocutione » and Longinus « De Sublimitate ». In: L'antiquité classique, Tome 11, fasc. 1, 1942. pp. 113-115
Rahel Apfel Collection 1912
An obituary and a eulogy for Rahel Apfel.Otto H. GriesbachThe original German-language inventory is available in the folder.Processed for digitizationSent for digitizationReturned from digitizationLinked to online manifestationdigitize
Perbandingan antara Skor Apfel dengan Skor Koivuranta terhadap Prediksi Terjadinya Post Operative Nausea and Vomiting pada Anestesi Umum
Introduction Post operative nausea and vomiting, PONV is the most frequent side
effect after anesthesi. In recent review PONV prediction score is been used to clasified
risk and management for PONV prophylaxis based in this scoring system. The objective
of this investigation is to know the accuracy of Apfel score and Koivuranta score as a
PONV prediction scoring system.
Methode The desing of this investigation in descriptive, cross sectional analytic study.
After the study was approved by ethics committees of Medical Faculty of University of
Sumatera Utara, 50 adult patient scheduled for elective surgery with general anesthesia
were questioned for Apfel score and Koivuranta score. And the score were
diagnosticaly tested.
Results The prevalens of PONV in general anesthesia in H Adam Malik general
hospital is 40%. The sensitivity of Apfel score is equal to Koivuranta score but Apfel
score has higher spesivicity than Koivuranta score in predicting PONV in general
anesthesia.
Discussion From this study we suggest to use Apfel score for predicting PONV which
has higher spesivicity dan fewer variable scoring system.Pendahuluan Post operative nausea and vomiting (PONV), atau mual dan muntah
paska operasi adalah efek samping yang sering terjadi setelah tindakan anestesi.
Belakangan ini skor resiko untuk prediksi PONV telah digunakan sebagai cara untuk
mengklasifikasi pasien sesuai dengan prediksi resiko dan memberikan profilaksis
sesuai dengan klasifikasi ini. Penelitian ini dilakukan untuk melihat keakuratan antara
skor Apfel dan skor Koivuranta sebagai skor prediksi PONV.
Metode Desain pada penelitian ini adalah penelitian deskriptif, studi cross sectional
analitik. Setelah mendapat persetujuan dari komite etik FK USU Medan, dilakukan
penelitian terhadap 50 sampel yang menjalani operasi elektif dengan tindakan anestesi
umum di RSUP H Adam Malik. Setiap sampel dihitung skor Apfel dan skor Koivuranta
lalu dilakukan uji diagnostik untuk menilai keakuratan diantara skor ini.
Hasil Prevalensi kejadian PONV pada anestesi umum pada operasi elektif di rumah
sakit H Adam Malik Medan sebanyak 40%. Skor Apfel mempunyai sensitivitas yang
sama dan spesivisitas yang lebih tinggi dari skor Koivuranta dalam memprediksi PONV
pada pasien dengan anestesi umum.
Diskusi Dari penelitian ini disarankan untuk menggunakan skor prediksi PONV milik
Apfel yang memiliki spesifisitas lebih tinggi dan variabel penentu skor yang lebih sedikit.56 HalamanTesis Magiste
Dem Herrn Professor Schirach nach Seiner Verbindung mit Demoiselle Hoffmann gewidmet von Desselben gehorsamsten Dienern und Zuhörern C. P. Achmet, a. Brschw. d. G. G. B. J. A. E. Ahlburg, a. d. Brschw. d. R. B. H. D. Apfel, a. Brschw. d. A. G. B. ... Helmstädt, am 12ten Januar, 1777.
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
The effect of Apfel risk score and fasting times on postoperative nausea and vomiting
© 2022 Elsevier Inc.Background: Postoperative nausea and vomiting (PONV) is an undesirable problem with many adverse effects on the patient. The first step toward effective treatment and prevention is to identify the patient's risk factors for PONV. This descriptive, cross-sectional study was conducted in the General Surgery Clinic between August 2017 and August 2018 to evaluate the effect of Apfel risk score and fasting duration on PONV and draw attention to this issue. Methods: A total of 283 patients who were scheduled for elective surgery were included in the study. The patients were evaluated using the Patient Evaluation Form created by the researcher by scanning the literature, and the Apfel Risk Scoring System. Results: The solid fasting time of the patients was 18.9 ± 28.9 h, the mean fluid fasting time was 13.9 ± 7.4 h, the mean operation time was 133 ± 76 min, the perceived hunger score was 3.1 ± 3.2, and the mean thirst score was 4.3 ± 3.2 and 16.8 ± 18.5. When the Apfel Risk Score and the incidence of all-time postoperative nausea and vomiting (PONV) were compared, a significant correlation was found between the patients' solid food fasting times and the incidences of the 2nd, 4th, 8th, and 24th hours. PONV incidence (p ˂ 0.01). Conclusion: The fasting times of the patients are longer than recommended. There is a parallel relationship between both long fasting times and the Apfel risk score and the incidence of PONV. It is recommended that institutions establish an evidence-based policy and take the necessary precautions in the preoperative evaluation of patients in terms of postoperative nausea and vomiting and during fasting periods
Appropriate Similarity Measures for Author Cocitation Analysis
We 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
We 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
The construction of Karen Karnak: The multi-author-function
This thesis is situated within the comparatively recent developments of Web 2.0 and the emergence of interactive WikiMedia, and explores the mode of authorship within a Read/Write culture compared to that of a Read/Only tradition. The hypothesis of this study is that the role of the audience has become merged with the author, and as such, represents new functions and attributes, distinct from a more conventional concept of authorship, in which the roles of audience and author are more separate. Read/Write and participatory culture, as defined by this study, is focused on collaboration, and includes the influences of D.I.Y. culture, Open-Source practices and the production of text by multiple authors. Multi-authorship presents a re-thinking of several concepts which support the notion of the individual author, since the focus of multi-authorship is not on attribution and ownership of a finished text, but on the continued malleability of a text. Modes of multi-authorship, demonstrated in the use of the pseudonyms Alan Smithee and Karen Eliot, represent declarative authors whose names signify multiple origins, whilst concurrently indicating a distinct body of work. The function of these names form an important context to this study, since primary research involves the construction of an experimental mode of multi-authorship utilising WikiMedia technology and the interaction of thirty nine participants, who are invited to create a body of work under the collective pseudonym Karen Karnak. The data generated by this experiment is analysed using aspects of Michel Foucault's author-function to identify and determine power structures inherent in the WikiMedia context. The interplay of power structures, including concepts such as identity, ownership and the body of work, affect the resulting mode of authorship and contribute to the construction of Karen Karnak, suggesting further areas of research into the emerging multi-author
Contribution of Information and Communication Technology (ICT) in Country’S H-Index
The aim of this study is to examine the effect of Information and Communication Technology (ICT) development on country’s scientific ranking as measured by H-index. Moreover, this study applies ICT development sub-indices including ICT Use, ICT Access and ICT skill to find the distinct effect of these sub-indices on country’s H-index. To this purpose, required data for the panel of 14 Middle East countries over the period 1995 to 2009 is collected. Findings of the current study show that ICT development increases the H-index of the sample countries. The results also indicate that ICT Use and ICT Skill sub-indices positively contribute to higher H-index but the effect of ICT access on country’s H-index is not clear
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