1,721,913 research outputs found
RETRACTED ARTICLE: Psychological predictors behind the intention to drink and drive among female drivers: Application of extended theory of planned behavior
No full textWe, the Editor and Publisher of Traffic Injury Prevention, have retracted the following article: Ankit Kumar Yadav. Psychological predictors behind the intention to drink and drive among female drivers: Application of extended theory of planned behavior. Traffic Injury Prevention. 2020. https://doi.org/10.1080/15389588.2019.1703961. The author has requested the retraction of his article due to an error in one of the collected psychological measures. During data extraction, the responses for ‘attitude’ and ‘intention’ measures were switched and may have influenced the findings from the developed regression model and its results. As a result, the Editor and Publisher have agreed to retract the article in full. We have investigated and have been informed in our decision-making by our policy on publishing ethics and integrity and the COPE guidelines on retractions. The retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as “Retracted”.</p
Spatiotemporal chiroptical beh plasmonic nanoparticles
No full textDeutsche Forschungsgemeinschaft [HU 2626/5-1 (Q2 44541 5315) , IRTG 2675 (246 437527638) , SFB 1375/2 NOA-C1 (398816777) ]
Handbook of research on machine learning techniques for pattern recognition and information security/ Mohit Dua, Ankit Kumar Jain, editors.
No full textIncludes bibliographical references and index."This book examines the impact of machine learning techniques on pattern recognition and information security"--Chapter 1. Intelligent vision-based systems for public safety and protection via machine learning techniques -- Chapter 2. Comparative analysis of various soft computing technique-based automatic licence plate recognition systems -- Chapter 3. Impact of syntactical and statistical pattern recognition on prognostic reasoning -- Chapter 4. Challenges and issues in plant disease detection using deep learning -- Chapter 5. Automatic animal detection and collision avoidance system (ADCAS) using thermal camera -- Chapter 6. Distracted driver detection system using deep learning technique -- Chapter 7. Application of deep learning model convolution neural network for effective web information retrieval -- Chapter 8. Cosine transformed chaos function and block scrambling-based image encryption -- Chapter 9. An improved approach for multiple image encryption using alternate multidimensional chaos and Lorenz attractor -- Chapter 10. Simple linear iterative clustering (SLIC) and graph theory-based image segmentation -- Chapter 11. COVID-19 detection using chest x-ray and transfer learning -- Chapter 12. COVID-19-related predictions using NER on news headlines -- Chapter 13. Security issues in fog computing and ML-based solutions -- Chapter 14. Intrusion detection systems: current trends and future challenges -- Chapter 15. Vulnerability assessment and malware analysis of android apps using machine learning -- Chapter 16. Locally-adaptive naïve bayes framework design via density-based clustering for large scale datasets -- Chapter 17. RFID security issues, defenses, and security schemes.1 online resource (26 PDFs (355 pages)
Clustering analysis of the electrical load in European countries
Full text linkIn this paper we used clustering algorithms to compare the typical load profiles of different European countries in different day of the weeks. We find out that better results are obtained if the clustering is not performed directly on the data, but on some features extracted from the data. Clustering results can be exploited by energy providers to tailor more attractive time-varying tariffs for their customers. In particular, despite the relevant differences among the several compared countries, we obtained the interesting result of indentifying a single feature that is able to distinguish weekdays from holidays and pre-holidays in all the examined countries
Partial subscapularis tear: State-of-the-art
Full text linkThe subscapularis (SSC) muscle is a crucial anterior glenohumeral stabilizer and internal rotator of the shoulder joint. The partial tears of the SSC might result from traumatic injury or intrinsic degeneration. Partial SSC tears can range in severity and be classified into different categories based on the location of the tear, size of the lesion, and associated pathology. The tear usually begins from the superolateral margin in the first facet and propagates downwards. It is frequently associated with biceps pathology or anterosuperior lesions. These tears are now increasingly recognized as distinct pathology that requires specific diagnostic and management approaches. The current management approaches are shifting towards operative, as partial SSC tears are increasingly recognized as a distinct pathology. At present, there is no consensus regarding the timing of repair, but the relative tendency of the SSC to retract much faster than other rotator cuff muscles, and difficulty in mobilization, advocates an early repair for SSC irrespective of the lesion size. An associated biceps pathology can be treated with either tenotomy (biceps delamination/erosion) or tenodesis. The techniques of partial SSC repair are constantly improving. There is no reported difference in use of 2-anchor-based conventional single-row (SR), a 3-anchor-based interconnected double-row technique, or a 2-anchor-based interconnected hybrid double-row construct in the repair construct. However, the 2-anchor-based interconnected double-row provides an advantage of better superolateral coverage with leading-edge protection, as it helps in placing the superolateral anchor superior and lateral to the original footprint. A timely intervention and restoration of the footprint will help restore and rehabilitate the shoulder. Future directions should prioritise injury prevention, early diagnosis with clinic-radiological cues and targeted interventions to mitigate risk
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Book review: Age of entanglement: German and Indian intellectuals across Empire by Kris Manjapara
No full text"Age of Entanglement: German and Indian Intellectuals across Empire." Kris Manjapara. Harvard University Press. January 2014. --- In this book, Kris Manjapara sets out to explore patterns of connection linking German and Indian intellectuals from the nineteenth century to the years after the Second World War. The author attempts to trace the intersecting ideas and careers of a diverse collection of individuals from South Asia and Central Europe who shared ideas, formed networks, and studied one another’s worlds. Ankit Kumar recommends this book to those studying world history, geopolitics, postcolonialism and development
Variations on the Author
Full text link“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
Full text linkWe 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
- …
