1,721,012 research outputs found
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
Code Quality of AI Chatbots
This study aims to evaluate the code quality produced by ChatGPT and Google Bard, identify potential risks, and propose specific recommendations
Digitalization of Public Administration: Opportunity or Threat?
Our everyday social, political, and economic lives rely heavily on the Internet and web apps. Information gathering, communication, reading, gaming, banking, shopping, job searching, seeing films, enjoying music, interacting with others, finding a mate, and many other activities can all be done with them. Thus, it is evident that digitalization has become an integral and pervasive aspect of our everyday lives. Therefore, digitalizing government services has significant potential to create a seamless customer journey marked by enhanced administrative process convenience and efficiency. However, the impact of the digitalization of public administration on people with visual impairments remains under-researched
Protecting connected medical devices through microsegmentation
Medical devices such as wearables, ingestible sensors, and point -of- care diagnostic equipment is vulnerable to cyber threats that can be compromised by malicious actors putting patient safety, privacy, and integrity of healthcare systems at risk.
Microsegmentation offers promising solution to the cybersecurity risks but also comes with challenges. This research paper aims to address the challenge of reducing the complexity of security policies of microsegmentation in order to enhance their effectiveness and ease of implementation. Security policies play a crucial role in protecting sensitive data and ensuring the integrity of systems and networks. However, complex security policies can hinder their successful deployment and management. This paper highlights the significance of simplifying security policies to promote widespread adoption and improve overall security posture
Variations on the Author
“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
Automatic Software Validation for Critical Infrastructures
Critical Infrastructure Systems (CIS) need to be more reliable. CIS are present in most life aspects, including hospitals, factories, aviation, and governmental venues. With the surge of interest on the Internet of Things (IOT), the number of devices in use will likely continue increasing for years to come. However, since any of these systems contained essentially software or hardware, all of them can pose reliability risks as well. Finding software bugs in CIS depends on analyzing machine code, as the software is generally proprietary. Due to software complexity, manual testing is not enough to guarantee the correct behavior of software. One alternative to this limitation is known as Symbolic Execution (SE). SE is a formal verification method that simulates software execution using symbolic values instead of concrete ones. The execution starts with all input variables unconstrained, and assignments that use any input variable are encoded as logical expressions. Whenever a branch is reached, the SE engine checks which values the branch condition can assume. If more than one valid evaluation is possible, the execution forks, and a new process is created for each possibility. This thesis will apply the concept of SE on software systems and show its efficiency to find software bugs at the early stage of software development life cycle. Furthermore, it shows how this can be applied to improve certification process of software systems. This thesis uses the state-of-the-art SE tool KLEE [78] in order to assess the proposed technique
Securing IoMT – A Case Study in a Swiss Hospital
Hospitals are considered critical infrastructure. Medical device connectivity is rapidly growing and with it is the potential attack surface. Healthcare delivery organizations face an increasing challenge trying to secure medical technology due to a myriad of reasons elaborated in this work. Every stakeholder is ultimately responsible to limit the attack surface of medical devices and perform their due diligence, this includes the hospitals. This work specifically targets, investigates, and concentrates on the deficiencies and potential countermeasures that hospitals should take in order to securely operate IoMT devices. The findings and deliverables were created on the basis of literature research and a primary data collection effort through a case study with interviews and observations conducted in a Swiss general hospital. The case study mostly corroborated the literature research’s findings and provided additional insight into the maturity of the hospital. Some considerable information security gaps in the medical device security field were confirmed, for which this work suggested a systematic remediation approach
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
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