1,720,956 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
A Peer-to-Peer Networking Framework for Scalable Massively Multiplayer Online Game Development in Unity
No full textThis thesis investigates designing and implementing a peer-to-peer (P2P) networking frameworkfor Unity, a popular game engine, intending to offer a scalable and efficient solution forconstructing networked multiplayer games. The research covers an analysis of a P2P networkarchitecture, transport layer protocols, challenges in NAT traversal, and peer list management.A framework is proposed, incorporating NAT traversal, remote procedural calls (RPC), synchronization variables (SyncVar), interest management (IM), and a lobby system. The framework’sperformance is evaluated through integration, network, and game performance tests. Resultsdemonstrate the framework’s capacity to accommodate up to 50 players, with a theoreticalmaximum of 200 players, but further optimization techniques could increase this limit. IMsolutions are suggested to improve scalability, rendering the framework a more viable optionfor MMOGs. Additionally, this thesis seeks to contribute to comprehending P2P networkingframework design and implementation for Unity while emphasizing potential directions forfuture research and how they should be optimizedDenna uppsats undersöker design och implementering av ett peer-to-peer (P2P) nätverksramverk för Unity, en populär spelmotor, med målet att erbjuda en skalbar och effektiv lösning för att bygga nätverksbaserade flerspelarspel. Uppsatsen omfattar en analys av P2P-nätverksarkitektur, transportlagerprotokoll, utmaningar vid NAT-Travesering och hantering av peerlistor. Ett ramverk som inkluderar NAT-Travesering, fjärrproceduranrop (RPC), synkroniseringsvariabler (SyncVar), Interest Management (IM) och ett lobby-system föreslås. Ramverkets prestanda utvärderas genom integrationstester, nätverksprestandatester och spel-prestandatester. Resultaten visar att ramverket kan hantera upp till 50 spelare, med en teoretisk maximal kapacitet på 200 spelare, men ytterligare optimiserings tekniker kan öka denna gränsen. IM-lösningar föreslås för att förbättra skalbarheten, vilket gör ramverket till ett bättre alternativ för MMOG. Dessutom syftar denna uppsats till att bidra till förståelsen för design och implementering av P2P-nätverksramverk för Unity, samtidigt som den betonar potentiella riktningar för framtida forskning och hur dessa ska kunna optimeras
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
A Density-Based Contrastive Loss and Explainable Machine Learning Study of Sex-Specific Suicide Risk inOlder Adults in Sweden
No full textPredicting suicide is challenging as the outcome is rare. In this thesis, data from 1,448,228 individuals aged 75 years or older (56.6% women and 43.4% men) who had in- or outpatient visits, only 1,386 suicides(0.010%) were observed between 2007 and 2018. Moreover, the characteristics of suicide cases overlapped substantially with those of non-suicide cases. Using a prospective 90-day window, we trained and compared several sex-specific machine-learning models. Coupled with explainableartificial intelligence (xAI), the models revealed both protective andrisk factors for suicide, overall and by sex. We implemented a TabTransformer encoder with the proposed novel Density-Based Contrastive Loss (DBCL) that up-weights anchor–positive pairs located in regions of high class overlap, thereby driving the learned embeddings away from ambiguous zones. xAI inspection highlighted that multiple previous attempts and advanced age are overall strong predictors. Living alone and any psychiatric diagnosis were female-specific risks, whereas unmarried status and high-risk manual occupations dominated in males. Integrated into a triplet-lossframework, DBCL improved the downstream F1-score of an attachedmultilayer perceptron by approximately 10% compared with a stan-dard triplet loss. The DBCL-enhanced TabTransformer increased predictive performance and, through xAI, constructed transparent models that highlight protective and risk factors, offering actionable insights for suicide prevention in older adults
A Peer-to-Peer Networking Framework for Scalable Massively Multiplayer Online Game Development in Unity
No full textThis thesis investigates designing and implementing a peer-to-peer (P2P) networking frameworkfor Unity, a popular game engine, intending to offer a scalable and efficient solution forconstructing networked multiplayer games. The research covers an analysis of a P2P networkarchitecture, transport layer protocols, challenges in NAT traversal, and peer list management.A framework is proposed, incorporating NAT traversal, remote procedural calls (RPC), synchronization variables (SyncVar), interest management (IM), and a lobby system. The framework’sperformance is evaluated through integration, network, and game performance tests. Resultsdemonstrate the framework’s capacity to accommodate up to 50 players, with a theoreticalmaximum of 200 players, but further optimization techniques could increase this limit. IMsolutions are suggested to improve scalability, rendering the framework a more viable optionfor MMOGs. Additionally, this thesis seeks to contribute to comprehending P2P networkingframework design and implementation for Unity while emphasizing potential directions forfuture research and how they should be optimizedDenna uppsats undersöker design och implementering av ett peer-to-peer (P2P) nätverksramverk för Unity, en populär spelmotor, med målet att erbjuda en skalbar och effektiv lösning för att bygga nätverksbaserade flerspelarspel. Uppsatsen omfattar en analys av P2P-nätverksarkitektur, transportlagerprotokoll, utmaningar vid NAT-Travesering och hantering av peerlistor. Ett ramverk som inkluderar NAT-Travesering, fjärrproceduranrop (RPC), synkroniseringsvariabler (SyncVar), Interest Management (IM) och ett lobby-system föreslås. Ramverkets prestanda utvärderas genom integrationstester, nätverksprestandatester och spel-prestandatester. Resultaten visar att ramverket kan hantera upp till 50 spelare, med en teoretisk maximal kapacitet på 200 spelare, men ytterligare optimiserings tekniker kan öka denna gränsen. IM-lösningar föreslås för att förbättra skalbarheten, vilket gör ramverket till ett bättre alternativ för MMOG. Dessutom syftar denna uppsats till att bidra till förståelsen för design och implementering av P2P-nätverksramverk för Unity, samtidigt som den betonar potentiella riktningar för framtida forskning och hur dessa ska kunna optimeras
A Density-Based Contrastive Loss and Explainable Machine Learning Study of Sex-Specific Suicide Risk inOlder Adults in Sweden
No full textPredicting suicide is challenging as the outcome is rare. In this thesis, data from 1,448,228 individuals aged 75 years or older (56.6% women and 43.4% men) who had in- or outpatient visits, only 1,386 suicides(0.010%) were observed between 2007 and 2018. Moreover, the characteristics of suicide cases overlapped substantially with those of non-suicide cases. Using a prospective 90-day window, we trained and compared several sex-specific machine-learning models. Coupled with explainableartificial intelligence (xAI), the models revealed both protective andrisk factors for suicide, overall and by sex. We implemented a TabTransformer encoder with the proposed novel Density-Based Contrastive Loss (DBCL) that up-weights anchor–positive pairs located in regions of high class overlap, thereby driving the learned embeddings away from ambiguous zones. xAI inspection highlighted that multiple previous attempts and advanced age are overall strong predictors. Living alone and any psychiatric diagnosis were female-specific risks, whereas unmarried status and high-risk manual occupations dominated in males. Integrated into a triplet-lossframework, DBCL improved the downstream F1-score of an attachedmultilayer perceptron by approximately 10% compared with a stan-dard triplet loss. The DBCL-enhanced TabTransformer increased predictive performance and, through xAI, constructed transparent models that highlight protective and risk factors, offering actionable insights for suicide prevention in older adults
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
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